kotak institutional equities research - the...
TRANSCRIPT
4 KOTAK INSTITUTIONAL EQUITIES RESEARCH
GAME
KOTAK INSTITUTIONAL EQUITIES RESEARCH
ForewordIndia is no longer a land of villages. In a time when value
is generated through manufacturing and services, people
are moving to cities to realize their new-age aspirations.
The trend is determined and unstoppable, though erratic. It
promises to double the country’s urban cover by 2025. But
let us not worry or fret, it will still be less than 1% of the
country’s land cover.
The phenomenon demands an audacious approach to city
planning. We need an urban development policy that grows
India’s top cities into model cities whose spokes spawn
new hubs around them, all offering jobs and decent living
standards and services. We see tremendous common and
private good deriving from investment in urban infrastructure.
Consider the fact that our growing cities will consume 3-4X
the current capacity of steel and cement in the next decade.
This juggernaut will lap up 1.5 mn km of new roads and 35
bn sq. ft in new housing. None of this will work without the
wholehearted participation of all stakeholders, which means
that city residents will have to pay enough for their water,
gas, sewage, garbage and electricity to be assured of high
quality services.
Flexibility, scalability and quality are the gamechangers in
twenty-fi rst century urban planning.
GAME CHANGERCHANGER
ABOUT GAMECHANGER
GameChanger offers perspectives on ideas and developments that can potentially alter the course of the market.
The series explores and analyzes ideas, challenges conventional wisdom, plays advocate or devil's advocate depending on research conclusions. The factors that we identify as market changers could come from anywhere – from policy or politics, from people or ideas, from rain or from regulation. They could change the game for the better or for worse.
GameChanger research has implications for macro socio-economics and for long-term market behavior. Read it and stay ahead of the India story.
2 KOTAK INSTITUTIONAL EQUITIES RESEARCHKOTAK INSTITUTIONAL EQUITIES RESEARCH
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Contents
Elasticities: How Cities Grow: Hubs and Spokes ................................................................11
Organicities: Urban Development Models: Grow, Don't Sow ............................................25
Domesticities: Urban Housing: Build Scale, Build Stock .....................................................31
Velocities: Urban Transport: Good Public Infra Beats Private ..............................................41
Capacities: Urban Infrastructure: Build and Bill ..................................................................49
GameChangers: Flexibility, Scalability, Strong City Governments .......................................57
3KOTAK INSTITUTIONAL EQUITIES RESEARCH
GAME CHANGER
Growing cities
India’s urban map is growing inexorably, its dogged and demanding expansion taking town planners and
cartographers by surprise. The next leap in India’s urbanization will be defined by (1) services-led growth –
as against manufacturing, which grew some of the world’s large old cities, and (2) organic expansion – the
spread of existing city hubs into multiple suburbs that will then become hubs of commerce themselves; the
trend says more citification, but not necessarily more cities. We would define the key elements of a city as
(1) employment opportunities and (2) affordable and accessible housing, transport and basic utilities. The
prospects present exciting opportunities alongside daunting challenges. This report looks dispassionately at
both.
India’s urbanization will propel the next leg of growth
India’s steady urbanization has the potential to bring in investments of Rs120-150 tn over the course of
the next 11 years till FY2025E (see Exhibit 1). City expansions will call for a dramatic increase in (1) housing
stock, (2) transport infrastructure, and (3) utilities (like power and water). We estimate investment in these
segments at US$2-2.5 tn over the next 11 years to FY2025E, noting that India’s GDP in FY2014 was
US$1.9 tn. India will therefore need to invest between 8 and 10% of its GDP on developing its urban
infrastructure. For context, we note that India overall invested 34.7% of its GDP in FY2013.
Exhibit 1: India's urbanization highlights large investment opportunities
Estimates of investments required due to India's urbanization, March fiscal year-end, 2025E
Pricing PotentialDemand (Rs/sq. ft) market size Private or public
Real estate
Residential 35 bn sq. ft of new 1,000-1,500 Rs35-52 tn Mainly private investment; significant governmentproperty required intervention in bottom-of pyramid segment possible
Commercial and retail As for residential 1,000-1,500 Rs35-52 tn Private-sector spending
Potential investment in real estate Rs70-100 tn
Transport
Urban roads 1.4 mn kms and associated Rs25-30 mn/km. Rs35-42 tn Investments by local urban bodies, financed byinfrastructure (traffic signals, property tax, land auctions and perhaps user charges pavements, lighting)
Mass transit systems 63 cities with 1mn+ population, Rs2-3 bn/km. Rs5-8 tn Mainly public investment or PPP if the model stabilizes.about 40 kms of metros/city. We have not estimated investment in private two andInvestment in buses, BRTS and four wheelers and other intermediate transport, mono rails will complement in which the private sector will investinvestment in metros
Potential investment in transport Rs40-50 tn
Infrastructure
Power utilities Transmission and dsitrbution Rs1-3 tn Mainly public investment; user charges will need to fund infrastructure
Water Supply of clean water and Rs1-3 tn Mainly public investment; user charges will needclean-up of sewage to fund infrastructure
Potential investment in transport Rs2-4 tn
Total urbanization spend potential until FY2025E Rs120-150 tn
Total urbanization spend potential until FY2025E US$2-2.5 tn
Notes:(a) The pricing refers to current estimates; they do not take into account inflation over the next decade or so.(b) In real estate calculations, we do not take into account the price of land but only construction costs.
Source: Kotak Institutional Equities estimates
4 KOTAK INSTITUTIONAL EQUITIES RESEARCH
Our projections for India’s urbanization call for 2.5 bn tons of cement, 650 mn tons of steel and 4.6 mn
tons of paints over the next 11 years. To put this in perspective, installed capacities in these sectors as at
the end of FY2014 are: 369 mn tons of cement, 94.3 mn tons of steel and 2 mn tons of paints (see Exhibit
2). We would encourage you to look at these numbers to get a sense of the orders of magnitude involved,
rather than to get a very precise estimate of the industry sizes. The magnitude of investments required for
this scale-up in urban infrastructure – in terms of capital goods as well as services – is large enough to kick-
start India’s moribund capital cycle and trigger the next leg of economic growth.
Exhibit 2: India's urbanization can throw up very large investment opportunities
Estimates of investments required due to India's urbanization, March fiscal year-end, 2025E
Steel Cement Paint
Comments mn tons Comments mn tons Comments mn tonsC
Real estate
Residential 35 bn sq. ft of new 4.5 tons of steel 157.5 20 tons of cement 700.0 1.3 ton of paint 2.3property required required per required per required per 1,000 sq. ft 1,000 sq. ft 20,000 sq. ft
Commercial and retail Similar to residential 5.5 tons of steel 192.5 20 tons of cement 700.0 1.3 ton of paint 2.3 required per required per required per 1,000 sq. ft 1,000 sq. ft 20,000 sq. ft
Potential investment in real estate 350.0 1,400.0 4.6
Transport
Urban roads 1.4 mn kms and associated 200 tons of steel 280.0 800 tons of cement 1,120.0 NA NA infrastrcuture (traffic signals, required per km required per km footpaths, lighting)
Mass transit systems 63 cities with 1mn+ 10,000 tons of steel 25.2 2,000 tons of cement 5.0 NA NA populations expected, required per km required per km about 40 kms of metros per city. Investment in buses, BRTS, mono rail to complement investment in metros
Potential investment in transport 305.2 1,125.0 —
Total cumulative urbanization spend potential until FY2025E 655.2 2,525.0 4.6
Capacity of the relevant sectors (end-FY2014) 94.3 369.0 2.5
Source: Kotak Institutional Equities estimates
5KOTAK INSTITUTIONAL EQUITIES RESEARCH
GAME CHANGER
Footing the bill
These investments will need to come from private and public sources. As Indians invest in improving their
own housing stock, they will demand better transport infrastructure and associated utilities. Over the past
two decades, India has experimented with public-private partnerships in developing infrastructure like roads,
metro trains, power and water. The success of these partnerships has been patchy at best given that the
state has been keen on shielding its citizens from paying the actual cost of delivery of an infrastructure project.
Cities and their governments will need to be inventive in raising resources to meet the aspirations of its
citizens. User charges, property taxes, land auctions will all need to play a critical and complementary
role in funding cities for their growth. Many commentators have pointed out to the idea of developing
the municipal bond market to augment the resources at the disposal of urban local bodies: we are more
circumspect on the development of this market given the currently still-born corporate bond market. As
Indian cities acquire more financial powers and local governance institutions, maybe a municipal bond
market will become meaningful: till such time, it will at best be a marginal resource base.
Growing cities: organic expansion the best way
As India re-imagines its urban landscape, we argue that it needs to focus on making its top-100 cities livable
rather than creating 100 new cities. Indian cities rank very poorly when compared to their international
counterparts (see Exhibit 3). The idea of ‘creating’ new cities belongs to the era of manufacturing-led growth,
something that has not been the case for India. Even if this evolves with the development of infrastructure
like the Delhi Mumbai Industrial Corridor (DMIC), which is expected to give a big push to manufacturing,
we believe that this will lead to the seeding of, at best, a handful of cities (seven planned currently).
6 KOTAK INSTITUTIONAL EQUITIES RESEARCH
Exhibit 3: Top Indian cities rank very low compared with their global peers
Ranks of cities according to various indices, August 2013
Spatially Adjusted Liveability Index EIU Liveability index
Hong Kong 1 10
Amsterdam 2 8
Osaka 3 3
Paris 4 5
Sydney 5 2
Stockholm 6 4
Berlin 7 7
Toronto 8 1
Munich 9 9
Tokyo 10 6
Rome 11 18
London 12 22
Madrid 13 15
Washington, DC 14 11
Chicago 15 12
New York 16 23
Los Angeles 17 17
San Francisco 18 21
Boston 19 16
Seoul 20 25
Singapore 22 20
Moscow 27 30
St Petersburg 28 29
Beijing 30 32
Shanghai 33 35
Shenzhen 34 37
Kuala Lumpur 37 34
Tianjin 38 33
Guangzhou 39 40
New Delhi 46 52
Dalian 47 39
Manila 48 47
Bangkok 49 46
Istanbul 51 49
Mumbai 52 53
Jakarta 56 56
Hanoi 57 57
Tashkent 58 54
Damascus 59 59
Ho Chi Minh City 60 60
Tehran 61 65
Phnom Penh 64 63
Karachi 65 67
Dhaka 68 70
Harare 70 69
Source: Economist Intelligence Unit, Kotak Institutional Equities
7KOTAK INSTITUTIONAL EQUITIES RESEARCH
GAME CHANGER
India’s services-dominated economy will see its current pint-sized cities burgeoning into massive urban
sprawls. Consider Mumbai’s density, where 17.7 mn people live within an area of 546 sq. kms, while
Shanghai’s 22.7 mn citizens sprawl across 3,626 sq. kms, an area 6.5X larger than Mumbai. Tokyo, with
twice the population of Mumbai, is 15X larger - the world’s most populated city has 37.6 mn citizens
sprawled over 8,574 sq. kms (see Exhibit 4).
Exhibit 4: Indian cities are small and tightly packed
Estimates of population and land area of various cities, May 2014
Population Land area Density
Country City (mn) (sq. kms) (people/sq. km.)
Japan Tokyo-Yokohama 37.6 8,547 4,400
Indonesia Jakarta 30.0 3,108 9,600
India Delhi (NCR) 24.1 2,072 11,600
South Korea Seoul-Incheon 23.0 2,266 10,100
Philippines Manila 22.7 1,580 14,400
China Shanghai 22.7 3,626 6,200
Pakistan Karachi 21.6 945 22,800
US New York (NY-NJ-CT) 20.7 11,642 1,800
Mexico Mexico City 20.3 2,072 9,800
Brazil Sao Paulo 20.3 2,849 7,100
China Beijing 19.3 3,756 5,100
China Guangzhou-Foshan 18.3 3,432 5,300
India Mumbai 17.7 546 32,300
Japan Osaka-Kobe-Kyoto 17.2 3,212 5,400
Russia Moscow 15.9 4,662 3,400
US Los Angeles 15.3 6,299 2,400
Egypt Cairo 15.2 1,761 8,600
Thailand Bangkok 14.9 2,461 6,100
India Kolkata 14.9 1,204 12,400
Bangladesh Dhaka 14.8 337 44,000
Source: Demographia World Urban Areas May 2014 update, Kotak Institutional Equities
Even if India’s area under urbanization doubles in the next decade, it is important to note that it will still
account for a mere 0.6% of the country’s land area (more on this in the next chapter). This should belie
concerns that cities will overrun agricultural or forest land in India – fears that underpin many of the policy
constraints in urban expansion.
The pull of the city
As people move away from farming to seek work in manufacturing and services, the link with land as the
key factor of production becomes tenuous – making way for more densely populated regions.
A cost-benefit analysis of congregating in a city versus staying back in a rural area pits the private benefits
of large groups living in proximity against the public costs imposed by such congregation. Private benefits
would include the facility to work, to trade and to collaborate and compete for these goals while the
common costs would include congestion and pollution. A city continues to expand, according to theory, till
the benefits outweigh the costs.
8 KOTAK INSTITUTIONAL EQUITIES RESEARCH
Note that we tag the benefits of city living as private (i.e. benefits accruing to individual citizens of the
city) and costs as public (i.e. accruing to the society as a whole). For an individual in a rural area, it makes
personal sense to move to the city; however, for the city itself, the potential city-dweller must bring in more
value than he will cost the city. There comes a time when cities become simply too large to accommodate
growth; as their public services are capped, they become unattractive to live in.
Two factors can change this equation: (1) creation of adequate infrastructure helps reduce public costs (for
example better roads lead to lower congestion and better refuse management leads to lower pollution) and
(2) as communication and/or transport technology evolves, it changes the shape of the city. Infrastructure
and technology can significantly reduce the costs of living in a city, thereby enhancing the utility of staying
in one.
Pull 1: Mobility
Cities that latch on to the dominant employment trend benefit from it (think of IT for Bengaluru and
Hyderabad, for example). A city that stops producing new jobs or remains stuck in obsolete employment
structures stops attracting good talent. The exceptions to this are citizens who journey to a city to escape
even worse prospects in their rural hometowns (think Kolkata). Over the last seven years, urban India has
generated almost all the incremental employment opportunities. A city must be an effective employment
generator: the promise of a city has to be one of upward social mobility.
Employment creation: This is an outcome of a good business environment which allows for new
economic opportunities to be readily converted into business ventures, leading to job creation. Employment
creation depends on (1) an educated, skilled and employable workforce and (2) lower implicit and explicit
costs of doing business.
Pull 2: Affordability
The largest costs of staying in a city are shelter and associated infrastructure services, for example,
transport, power, water and sewage, power, education and health. To make a city livable, it is imperative
to keep these costs low. India has been trying to make its citizens pay for many of its utilities, a goal
stymied by a history of free services and the contemporary reality of populist politics. However, there are
encouraging signs of greater political will and support for the idea.
Keeping costs low for the citizens does not mean offering any of these infrastructure services for free,
which would only compromise the quality of the utility. Low-revenue-generating utilities typically
malfunction, compelling the poor to pay an even higher price for basic necessities. The rich survive by
subscribing to private infrastructure.
9KOTAK INSTITUTIONAL EQUITIES RESEARCH
GAME CHANGER
� Housing: Indian cities typically follow a master plan approach - these take a 15-25 year view of a city
and planners envision growth and expansion to demarcate areas for various purposes. Unfortunately
for India, the planning process itself is long drawn and plans typically get finalized deep into the vision
period – for example, the 20-year Delhi master plan of 2001 (which was to update the 1980 master
plan) was finally approved and promulgated on August 1, 1990. Similarly, final touches are still being
given to the 2021 master plan for Delhi.
A key ingredient of housing cost is land. A rigid master plan makes it difficult to increase the availability
of land quickly during a plan period. Similarly, as cities expand in area (more in the next chapter), they
typically need to co-opt agricultural land. The process of converting agricultural land to non-agricultural
land (popularly called NA land) is rife with hurdles tied into corruption. Even as the city authorities need
to be concerned about the provision of basic facilities as the city expands (i.e. roads, hospitals, schools,
etc), surrounding area landowners should have some flexibility in deciding on how to use their land.
Opening up the land market and reviewing building strictures (height restrictions for one) can help
bring down the costs of city living considerably.
� Transport: Intra-city commute and freight movement are critically important for services-led urban
development. The intra-city movement of passengers and freight needs to be fast and cheap. There has
been significant emphasis on public transport globally and India needs to improve its public transport
quality and quantity so that the newly emerging consuming class does not necessarily see the need for
personal vehicles. India has invested a great deal on its many high quality inter-city roads but ironically,
intra-city transport systems (roads, public transport, rapid transit systems, etc.) are woefully inadequate.
� Water and sewage: Water services (both delivery of clear water and sewage disposal) are all but free
in India, leading to a collapse of urban utilities. It is not an uncommon sight across many cities (for
example, Mumbai) to see water tankers plying the streets to affluent housing societies as well as poor
localities, which simply do not have access to public water supplies. The populist approach to pricing
water fails the poor who pay a high price for this basic utility. Sewage disposal, that other insurer of
life and dignity, is not adequately priced. The breakdown in this service also hits the poor the most.
Poor sanitation takes a toll on health as well as employment, burdening the individual, industry and the
state.
� Power: Of late, many states have begun increasing the price of power with the implicit promise of
providing higher quality power (both in terms of voltages and also in terms of number of hours that
power will be available). Indian cities have large unmet needs for power even where electrification is
largely complete (estimates suggest that 94% of urban households have access to electricity). Many
labor-saving and modern devices (mixer-grinders, vacuum cleaners, washing machines, dishwashers,
refrigerators, air-conditioners, etc) are only now making their presence felt in Indian homes. Cities that
offer their citizens low-priced access to uninterrupted electricity can ensure greater productivity from
their citizenry.
10 KOTAK INSTITUTIONAL EQUITIES RESEARCH
� Health and education: It is difficult to classify health and education as a private or public good.
Clearly, the benefit of good health and good education accrue to the person concerned; however,
better education and health of its citizens creates a positive virtuous cycle for society as a whole. Indians
across the board – and especially so in urban India – have started meeting their health and education
needs through private means. This is a classic case of the private cost of public failure. Public services in
the field of education and health should be credible competitors to private players.
We do not include issues like security (the police system) and justice (the legal system) in the cost of living
in an urban area simply because they are necessary public goods which the state should be duty-bound to
provide both effectively and efficiently. We will look at some of these issues in detail in subsequent sections;
for now we turn our attention to sizing up Indian cities.
11
12 KOTAK INSTITUTIONAL EQUITIES RESEARCH
India is no longer a land of villages
Census 2011 put to rest the romantic idea that India lives in its villages. According to Census 2011, for the
first time in recorded Indian history, the population of urban India grew faster than that of India (see Exhibit
5). Importantly, this data does not factor in those census towns, which for all practical purposes are urban
but are not recognized as such by the state. As we look ahead in time, we expect that the rural population
will, in absolute terms, stagnate at the 833 mn mark and all the incremental growth in Indian population
will be urban (see Exhibit 6). A large portion of rural working-age persons will move to urban India (see
Exhibit 7), meaningfully changing the composition of rural India and shaping the new urban India. This is
not surprising since most of the employment creation in India over the last decade has been urban (see
Exhibit 8).
Exhibit 5: Urban population growth was higher than rural population growth for the first time
Population of India in rural and urban areas, census year-ends, March 1961-2011 (mn)
1961 1971 1981 1991 2001 2011
Population
Rural 360 439 507 622 742 833
Urban 79 109 157 215 286 377
Total 439 548 664 837 1,028 1,210
Change in population
Rural 78.8 68.0 115.0 120.0 91.0
Urban 30.2 48.3 58.0 70.4 91.2
Total 109.0 116.3 173.0 190.4 182.2
Source: Census of India, Registrar General of India, Kotak Institutional Equities
Exhibit 6: All incremental growth in population in India is expected to be urban
Estimated households and size of households in India, March fiscal year-ends, FY2011-25E
2011 2012 2013 2014 2015E 2016E 2017E 2018E 2019E 2020E 2021E 2022E 2023E 2024E 2025E
Number of households (mn)
Rural 169 170 172 174 175 177 179 181 183 184 186 188 190 192 194
Urban 81 84 88 91 95 98 102 106 110 114 118 122 126 131 135
Grand total 249 254 260 265 270 275 281 287 292 298 304 310 316 323 329
% urban 32 33 34 34 35 36 36 37 38 38 39 39 40 41 41
People per household
Rural 4.9 4.9 4.8 4.8 4.7 4.7 4.7 4.6 4.6 4.5 4.5 4.4 4.4 4.3 4.3
Urban 4.7 4.6 4.6 4.5 4.5 4.4 4.4 4.3 4.3 4.3 4.2 4.2 4.1 4.1 4.1
Number of people (mn)
Rural 833 833 833 833 833 833 833 833 833 833 833 833 832 832 832
Urban 377 389 400 412 424 436 448 460 472 485 497 510 522 535 548
Grand total 1,211 1,222 1,233 1,245 1,257 1,269 1,281 1,293 1,305 1,317 1,330 1,342 1,355 1,368 1,381
% urban 31 32 32 33 34 34 35 36 36 37 37 38 39 39 40
Source: NSSO - 66th round, Census 2010, Kotak Institutional Equities estimates
13KOTAK INSTITUTIONAL EQUITIES RESEARCH
GAME CHANGER
Exhibit 7: Working-age population typically moves to urban India
Distribution of population by age and location, calendar year-end, 2000 (%)
0
2
4
6
8
10
12
14
0 -
4
5 -
9
10 -
14
15 -
19
20 -
24
25 -
29
30 -
34
35 -
39
40 -
44
45 -
49
50 -
54
55 -
59
60 -
64
65 -
69
70 -
74
75 -
79
80 +
Urban Rural
Source: United Nations, Kotak Institutional Equities
Exhibit 8: Urban areas have created all the job opportunities over the past seven years
Labor force population (ps+ss) in NSSO 61st, 66th and 68th round surveys, June year-ends, 2005, 2010, 2012 (mn)
Rural Urban Rural+Urban
Male Female Person Male Female Person Male Female Person
NSS - 68th round: July 2011 to June 2012 239 104 342 113 29 141 351 132 484
NSS - 66th round: July 2009 to June 2010 236 106 342 103 24 127 338 130 469
Difference between 68th and 66th rounds 3 (3) 1 10 5 14 13 2 15
NSS - 61st round: July 2004 to June 2005 227 129 355 92 26 117 319 156 474
Difference between 68th and 61st rounds 9 (23) (13) 11 (2) 10 20 (26) (5)
Source: NSSO rounds, Kotak Institutional Equities estimates
The big driver of urbanization across the world has been people giving up their agricultural vocations for
more attractive prospects in manufacturing. This took place over multiple generations (indeed centuries)
in the West and happened more quickly with the East-Asian miracle economies (see Exhibit 9). India has
surprisingly seen little of both these phenomena. Even after a quarter of a century of liberalization of the
economy, around half the labor force in India is still associated with agriculture, but producing less than a
sixth of India’s GDP (see Exhibit 10).
14 KOTAK INSTITUTIONAL EQUITIES RESEARCH
Exhibit 9: Countries have taken generations to move people across sectors
Sector-wise split of the GDP of various countries over time (%)
1820 1870 1913 1950 1992
US
Agriculture 70 50 28 13 3
Industry 15 24 30 34 23
Services 15 26 43 54 74
Total 100 100 100 100 100
France
Agriculture 49 41 28 5
Industry 28 32 35 28
Services 23 27 37 67
Total 100 100 100 100
Germany
Agriculture 50 35 22 3
Industry 29 41 43 38
Services 22 24 35 59
Total 100 100 100 100
UK
Agriculture 38 23 12 5 2
Industry 33 42 44 45 26
Services 30 35 44 50 72
Total 100 100 100 100 100
Japan
Agriculture 70 60 48 6
Industry NA 18 23 35
Services NA 22 29 59
Total 100 100 100 100
Source: The Missing Middle, ICRIER Working Paper # 230, January 2009, CII-BCG report, Kotak Institutional Equities
Exhibit 10: Agriculture still employs almost half the population and contributes only a sixth of GDP
Break-up of GDP and employment, March fiscal year end, 2012 (%)
GDP Employment
Agriculture and allied activities 17 49
Manufacturing 14 13
Service sector 65 38
Other industries 4 1
Source: CSO, NSSO 68th round, Kotak Institutional Equities
India has been a reluctant urbanizer
India’s rate of urbanization has been very slow compared to most of the larger countries in the world (see
Exhibit 11). There are two important reasons for this: (1) a large part of India’s labor force has still not been
able to free itself from agriculture and (2) Indian rules do not recognize the extent of India’s urbanization.
15KOTAK INSTITUTIONAL EQUITIES RESEARCH
GAME CHANGER
Exhibit 11: Four models of urbanization: India, China, South Korea and Germany
Historical and projected urban populations, calendar year-ends, 1950-2050E (%)
0
20
40
60
80
100
1950
1955
1960
1965
1970
1975
1980
1985
1990
1995
2000
2005
2010
2015
E
2020
E
2025
E
2030
E
2035
E
2040
E
2045
E
2050
E
India China Republic of Korea Germany
Source: United Nations, Kotak Institutional Equities estimates
India still employs a large number of people in agriculture because of the dearth of opportunities in
manufacturing. Over the past few years, the Indian government has demonstrated its keenness to make
manufacturing the backbone of growth. The National Manufacturing Policy aims to raise the share of
manufacturing to 25% of GDP by FY2025 from 14% in FY2014. Assuming that GDP growth averages 7%
over this period, this would imply a manufacturing growth rate of 12% CAGR. If indeed, this target were
realized, India could possibly spawn a few more new cities.
India’s urban population is considerably larger than official numbers indicate. This is simply because too
many Indian towns are officially classified as rural areas as their status has not been updated in official
records. To qualify as urban, a town must (1) be recognized as such by the government and have an
urban governance mechanism (municipality, corporation, etc.) and (2) satisfy three criteria: (a) a minimum
population of 5,000; (b) a density of over 400 people per sq. km. and (c) over75% of the male working
population should be engaged in non-agricultural pursuits.
Villages with over 5,000 residents (‘large villages’) accounted for only 9.6% of the rural population in 1961;
by 2001, they accounted for 21.8% of the rural population. Applying this rate of transition to the 2011
census (data for which is not yet available), we estimate that over 25% of the rural population now lives
in ‘large villages’ or ‘towns’. If such villages are labelled ‘urban’ (since they satisfy one of the three criteria
required), as much as 49% of India can be said to be ‘urbanized’, compared to 31% as reported in the
Census 2011 (see Exhibit 12).
16 KOTAK INSTITUTIONAL EQUITIES RESEARCH
Exhibit 12: About half of India may already be "urbanized"
Urbanization in India, census year-ends, March 1961-2011
1961 1971 1981 1991 2001 2011
Population (mn)
Rural 360 439 507 622 742 833
Urban 79 109 157 215 286 377
Total 439 548 664 837 1,028 1,210
Proportion (%)
Rural population to total population 82 80 76 74 72 69
- of which >5,000 population rural villages 10 13 15 18 22 25
Urban (A) 18 20 24 26 28 31
"New" urban population (mn)
Population of >5,000 population rural villages 35 55 78 113 161 211
"New" urban popualtion 114 164 236 329 447 588
"New" urban proportion (%) (B) 26 30 35 39 44 49
Under-reported urbanization proportion [(B)-(A)] 8 10 12 14 16 17
Source: Census of India, Registrar General of India, Kotak Institutional Equities estimates
Services-led growth: implications on space needs
India’s service-sector led growth means that India may not create as many new cities as countries that
relied on manufacturing. Manufacturing has two interesting and critical features that help in the growth of
new cities: (1) the knowledge of manufacturing has matured and standardized across the world leading to
lower spillover benefits from agglomerations (or bunching-up in one place) and (2) land is a critical input
in manufacturing and as more units and people start coming together, land begins to get expensive and
industries are compelled to look beyond city borders where they seed new clusters.
The services sector thrives where there is a large congregation of people in one place: people offer
services to each other. Given its nascent nature in human history, significant new changes (inventions,
developments, etc.) are taking place in the services sector and hence it helps if people associated with this
sector congregate. Services typically do not require as much land as manufacturing: a typical manufacturing
unit in India would be a discrete one-floor structure, while a high-rise building could house a clutch of
service businesses.
We see the impact of this clearly as we note the larger number of bigger cities that China has compared
to India – and the prognosis for the same (see Exhibit 13). If the current trajectory of services-led growth
continues, India would do well to focus on improving the lot of its current cities and their outgrowth and
managing them well.
17KOTAK INSTITUTIONAL EQUITIES RESEARCH
GAME CHANGER
Exhibit 13: India's mode of urbanization is very different from that of China and the US
Size, class of urban settlement, India, percentage of urban population, 1955-2025E
1955 1965 1975 1985 1995 2005 2015E 2025E
Cumulative population in various types of cities (%)
India
10 mn or more — — — 5 15 15 17 21
5 to 10 mn 7 7 11 9 2 8 9 5
1 to 5 mn 13 17 14 12 15 15 17 20
500,000 to 1 mn 5 5 8 13 10 9 7 10
Fewer than 500,000 75 72 67 61 57 53 50 45
Total 100 100 100 100 100 100 100 100
China
10 mn or more — — — — 3 5 11 13
5 to 10 mn 7 5 4 5 4 9 8 13
1 to 5 mn 18 20 20 18 23 25 25 28
500,000 to 1 mn 10 11 14 11 9 14 16 17
Fewer than 500,000 65 65 63 66 61 47 39 29
Total 100 100 100 100 100 100 100 100
US
10 mn or more 11 11 10 14 14 13 17 17
5 to 10 mn 9 10 10 4 4 8 13 17
1 to 5 mn 18 25 29 31 35 33 30 31
500,000 to 1 mn 12 10 10 10 9 11 11 12
Fewer than 500,000 49 45 41 40 38 35 30 23
Total 100 100 100 100 100 100 100 100
Number of such cities
India
10 mn or more — — — 1 3 3 4 6
5 to 10 mn 1 1 2 2 1 4 5 3
1 to 5 mn 5 7 8 10 20 29 47 54
500,000 to 1 mn 5 7 17 34 34 43 49 75
Total 11 15 27 47 58 79 105 138
China
10 mn or more — — — — 1 2 6 7
5 to 10 mn 1 1 1 2 2 7 9 17
1 to 5 mn 9 13 15 23 45 67 97 139
500,000 to 1 mn 11 20 31 35 54 117 173 218
Total 21 34 47 60 102 193 285 381
US
10 mn or more 1 1 1 2 2 2 3 3
5 to 10 mn 2 2 2 1 1 3 6 8
1 to 5 mn 11 19 25 28 33 34 38 45
500,000 to 1 mn 19 21 23 25 28 35 41 54
Total 33 43 51 56 64 74 88 110
Source: United Nations, Kotak Institutional Equities
18 KOTAK INSTITUTIONAL EQUITIES RESEARCH
India’s urbanization will more probably lead to mega-urban regions. In this context, we note the NCR (the
National Capital Region) and the extended city of Mumbai have expanded in every direction so that they
could find or create land. We should expect to see cities start to coalesce towards each other (Indore-
Dewas, for example). If infrastructure like the Delhi-Mumbai Industrial Corridor spurs manufacturing
activities along its length, we may well see the phenomenon of the urban corridor develop. We note in
Exhibit 14 that, according to the projections made by the United Nations, by FY2025E five Indian cities will
feature in the top-25 cities in the world (in terms of population).
Exhibit 14: Five Indian cities will feature among the top-25 most populated cities by 2025E
Estimate of population by 2025 (mn)
Country City Population
Japan Tokyo 38.7
India Delhi 32.9
China Shanghai 28.4
India Mumbai 26.6
Mexico Mexico City 24.6
US New York-Newark 23.6
Brazil São Paulo 23.2
Bangladesh Dhaka 22.9
China Beijing 22.6
Pakistan Karachi 20.2
Nigeria Lagos 18.9
India Kolkata 18.7
Philippines Manila 16.3
US Los Angeles-Long Beach-Santa Ana 15.7
China Shenzhen 15.5
Argentina Buenos Aires 15.5
China Guangzhou, Guangdong 15.5
Turkey Istanbul 14.9
Egypt Cairo 14.7
Democratic Republic of the Congo Kinshasa 14.5
China Chongqing 13.6
Brazil Rio de Janeiro 13.6
India Bengaluru 13.2
Indonesia Jakarta 12.8
India Chennai 12.8
China Wuhan 12.7
Russian Federation Moscow 12.6
France Paris 12.2
Japan Osaka-Kobe 12.0
China Tianjin 11.9
Source: United Nations 2011, Kotak Institutional Equities estimates
19KOTAK INSTITUTIONAL EQUITIES RESEARCH
GAME CHANGER
Growth of cities: RoW
The idea of a city brings to mind the cliché of the ‘concrete jungle’ with its implication of dense
congregations, high rises and congestion. This is in contrast to the notion of rural living with its visions of
vast fields, single-floor huts and single-storey buildings. As people leave rural lands for cities, it is critical to
understand how Indian cities will evolve. Many countries have been urbanizing steadily over the past 200
years, and there are lessons to be learned. (1) As more people come into cities, do cities typically become
more dense or do they start to expand outwards? (2) Could they actually expand outwards so much that
they decongest their old hubs? An understanding of these issues, their drivers and their projections can
help guide India in its urban planning.
Cities in the developing world are far more dense than those in the developed world. The order of
magnitude of over-crowding in developing world is 3-5X the density of the developed world (see Exhibit
15). The high-density urban phenomenon we discussed above is a feature that defines the developing
world. This is simply because it costs too much, in time and money, for urban populations in the developing
world to commute to work from distant suburbs.
Exhibit 15: The population density of developing countries is 5-7X that of developed countries
Average built-up area densities in three world regions, calendar year-ends, 1990, 2000 (person per sq. km.)
0
4,000
8,000
12,000
16,000
20,000
Developing countries Europe and Japan Land-rich developed countries
Global sample, 1990 Global sample, 2000 Universe of cities, 2000
Cities in the developing world have been losing density consistently over the last century. Note the steady
decline in the average annual density of 20 cities in the US over the twentieth century in Exhibit 16. We
note the density of cities in the US in the early 1900s is similar to that of cities in India today. The de-
densification of these cities took place even as the absolute number of citizens in these cities increased
substantially. Cities have grown meaningfully in area to accommodate a larger number of citizens even as
they have provided more space to each individual.
20 KOTAK INSTITUTIONAL EQUITIES RESEARCH
Exhibit 16: Urban areas in the developed world have been consistently losing population densities
Average tract density in US cities, calendar year-ends, 1910-2000 (persons/sq. km.)
0
1,000
2,000
3,000
4,000
5,000
6,000
7,000
8,000
1910
1920
1930
1940
1950
1960
1970
1980
1990
2000
Source: 'Making Room for a Planet of Cities', Lincoln Land Policy Institute, Kotak Institutional Equities
As cities expand, the other interesting feature is the distribution of density in the city. The centre of the city,
not surprisingly, is typically the most dense. Paris typifies this phenomenon (see Exhibit 17). The number of
people who live away from the centre form a much larger proportion of the population than those who
live near the centre. This requires good transport systems that allow people to move across large distances
quickly and cheaply.
Exhibit 17: Cities lose population density as one moves away from the city
Population density curve for Paris, France, 2000 (persons/sq. km.)
0
5,000
10,000
15,000
20,000
25,000
0 5 10 15 20 25 30 35
Distance from city center (km)
Density Density curve
Source: 'Making Room for a Planet of Cities', Lincoln Land Policy Institute, Kotak Institutional Equities
21KOTAK INSTITUTIONAL EQUITIES RESEARCH
GAME CHANGER
Transport
The story of the development of urban centers over the last century has been the development of cheap
and quick public transport, epitomized by metro/subway systems or railway lines across different cities.
Many of the largest cities in the world (London, New York, Tokyo, Paris, etc) have famous metro/subway
maps which are not just an essential ingredient of daily life but also works of art. High quality buses and
taxis also incentivize people to use public transport.
If commuting is fast and cheap, a city naturally expands outwards as we can see from the example of
several Indian cities, a case in point being Mumbai. In the past two decades, average speeds of suburban
trains have increased to dramatically reduce travel time. For instance (see Exhibit 18), the time taken to
travel between Churchgate and Borivili (32 kms) today is about the same as the time it used to take to
travel between Churchgate and Bandra (16 kms) several years earlier. This allows people to live further
away from work, allowing for geographic proliferation of the city. Indian cities are now investing in metros,
bus rapid transit corridors, etc. We explore this in greater detail in the chapter on transportation where we
demonstrate how and why good transport helps a city de-densify.
Exhibit 18: India's suburban commuters travel longer distances within the country
Average distances traveled by passengers, March fiscal year-ends, 1951-2008
1719
21
26
31 33
16
0
5
10
15
20
25
30
35
1951
1961
1971
1981
1991
2001
2008
Source: Transport Demand Forecasts: Short-Term & Long-Term Projections, Total Transport System Study, Planning
Commission, Kotak Institutional Equities
Indian cities: lay of the land by 2025
Exhibit 19 notes various scenarios that may play out depending on how Indian cities develop. If Indian
cities grow by becoming more dense, contrary to our thesis, India will likely convert 745 sq. kms of virgin
territory into urban land annually (or more than the current area of the city of Mumbai). However, if India
follows the global model of more people in more space, India will need to double its urban land area. Even
if cities don’t de-densify, they will nevertheless expand their coverage area as populations increase. In both
scenarios, India has little choice but to plan for large new urban tracts. Regardless of the specific lay of
urban land in India, by FY2025E the density of population in Indian cities will still be meaningfully higher
than in developed countries.
22 KOTAK INSTITUTIONAL EQUITIES RESEARCH
Exh
ibit
19:
Min
or
chan
ges
in u
rban
den
siti
es c
an h
ave
meg
a o
utc
om
es
The
net
new
urb
an a
rea
requ
ired
ever
y ye
ar, M
arch
fis
cal y
ear-
ends
, 201
1-25
E
2011
20
12
2013
20
14
2015
E 20
16E
2017
E 20
18E
2019
E 20
20E
2021
E 20
22E
2023
E 20
24E
2025
E A
vera
ge
Cu
rren
t th
ou
gh
ts o
n u
rban
izat
ion
Urb
an d
ensi
ty in
crea
se (%
) 2
.0
Urb
an p
opul
atio
n (m
n)
377
38
9
400
41
2
424
43
6
448
46
0
472
48
5
497
51
0
522
53
5
548
Urb
an d
ensi
ty (p
eopl
e/sq
km
) 3,
689
3,
763
3,
838
3,
915
3,
993
4,
073
4,
155
4,
238
4,
322
4,
409
4,
497
4,
587
4,
679
4,
772
4,
868
Urb
an a
rea
(sq
km)
102,
220
10
3,26
5 1
04,2
59
105,
204
106
,099
10
6,94
8 1
07,7
50
108,
507
109
,221
109
,892
11
0,52
1 1
11,1
10 1
11,6
60 1
12,1
72 1
12,6
47
New
urb
an a
rea
req
uir
ed (
sq k
m)
1,
045
99
4
944
89
6
848
80
2
757
71
4
671
63
0
589
55
0
512
47
4
745
Shlo
mo
An
gel
Urb
an d
ensi
ty in
crea
se (%
) (2
.0)
Urb
an p
opul
atio
n (m
n)
377
38
9
400
41
2
424
43
6
448
46
0
472
48
5
497
51
0
522
53
5
548
Urb
an d
ensi
ty (p
eopl
e/sq
km
) 3,
689
3,
615
3,
543
3,
472
3,
403
3,
335
3,
268
3,
203
3,
139
3,
076
3,
014
2,
954
2,
895
2,
837
2,
780
Urb
an a
rea
(sq
km)
102,
220
10
7,48
0 1
12,9
44
118,
619
124
,511
13
0,63
0 1
36,9
81
143,
574
150
,417
157
,519
16
4,88
7 1
72,5
32 1
80,4
63 1
88,6
90 1
97,2
22
New
urb
an a
rea
req
uir
ed (
sq k
m)
5,
260
5,
464
5,
675
5,
893
6,
118
6,
352
6,
593
6,
843
7,
101
7,
369
7,
645
7,
931
8,
227
8,
532
6,
786
Mid
-way
sce
nar
io
Urb
an d
ensi
ty in
crea
se (%
) 0
Urb
an p
opul
atio
n (m
n)
377
38
9
400
41
2
424
43
6
448
46
0
472
48
5
497
51
0
522
53
5
548
Urb
an d
ensi
ty (p
eopl
e/sq
km
) 3,
689
3,
689
3,
689
3,
689
3,
689
3,
689
3,
689
3,
689
3,
689
3,
689
3,
689
3,
689
3,
689
3,
689
3,
689
Urb
an a
rea
(sq
km)
102,
220
10
5,33
1 1
08,4
72
111,
643
114
,845
11
8,07
9 1
21,3
44
124,
641
127
,970
131
,331
13
4,72
5 1
38,1
52 1
41,6
12 1
45,1
07 1
48,6
35
New
urb
an a
rea
req
uir
ed (
sq k
m)
3,
111
3,
141
3,
171
3,
202
3,
234
3,
265
3,
297
3,
329
3,
361
3,
394
3,
427
3,
460
3,
494
3,
528
3,
315
Sour
ce: C
ensu
s of
Indi
a, S
hlom
o A
ngel
, McK
inse
y re
port
on
urba
niza
tion
in In
dia,
Kot
ak In
stitu
tiona
l Equ
ities
est
imat
es
23KOTAK INSTITUTIONAL EQUITIES RESEARCH
GAME CHANGER
In absolute terms, the Indian urban cover will likely be between 110,000 sq. km and 200,000 sq. km, up
from the current ~100,000 sq. km. We would allay the fears of civil society and policy makers who foresee
this determined urbanization eating into the country’s agricultural interests. It is important to note that the
most aggressive urbanization growth numbers imply total urban land in India at 200,000 sq. kms, which
represents less than 1% of the overall area of India (on a base of 3.3 mn sq. kms). We note that India’s
cropped area is ~160 mn ha or ~1.6 mn sq. kms. A doubling of urban land, from 0.1 mn sq. kms to 0.2 mn
sq. kms, will shave but a whisker off India’s land under cultivation. This perspective reinforces the case for
governmental and political will to meet India’s growing urbanization needs head on.
Indian cities: new technologies alter the roadmap for growth
India’s urban development is likely to mimic global precedents in many ways, while differing on account
of twenty-first century influences. We foresee an increase in the organic emergence of satellite hubs
– spawned by special interests - connected to primary ‘flagship’ hubs. Modern city development and
expansion is defined by (1) the wide variety of jobs on offer and (2) the development of communication
technologies. A variety of jobs calls for an equal number of skill specializations; no longer are cities known
for only the single industries they are built around. New communication technologies, will increasingly
reduce preoccupations with commuting, while nurturing the formation of multi-hub (or multi-modal) cities.
This highlights the need for flexibility in the development plans of the cities.
Exhibit 20 shows the population of Indian cities and their sizes (unfortunately, there is no good data on the
area of the cities in 2011). We note the ambiguity on how and where city boundaries are drawn for the
purpose of these calculations – the parameters may differ for the cities listed. However, it is easy to see that
Indian cities are significantly more dense than the cities of the developed world.
Exhibit 20: Indian cities are very dense
Area, population and densities of various Indian cities, March fiscal year-ends, 2001, 2011
2011 2001
Population Area Population Density
(persons) (sq. km.) (persons) (person/sq. km.)
Mumbai 18,414,288 603 11,978,595 19,865
Delhi 16,314,838 431 9,879,290 22,917
Kolkata 14,112,536 186 4,580,513 24,596
Chennai 8,696,010 174 4,343,562 24,963
Bengaluru 8,499,399 226 4,313,266 19,065
Hyderabad 7,749,334 173 3,658,477 21,184
Ahmedabad 6,352,254 281 4,514,988 16,063
Pune 5,049,968 430 2,538,290 5,903
Surat 4,585,367 213 2,702,404 12,716
Jaipur 3,073,750 485 2,322,395 4,792
Source: Census of India, Demographia World, Kotak Institutional Equities
24 KOTAK INSTITUTIONAL EQUITIES RESEARCH
Indian cities are small in size compared to the larger cities of the world – with which Indian cities compare
in population. The geographic expansion of Indian cities will be driven by (1) easy intra-city travel, aided by
increasing purchasing power and better infrastructure and (2) by the growth of satellite hubs that focus on
particular specializations.
25
26 KOTAK INSTITUTIONAL EQUITIES RESEARCH
Growing cities: scaling-up more robust than seeding
India’s urbanization is more a fact than a mission, which puts the spotlight on space. In the absence of
defined spaces, this juggernaut will roll where it will. The government has begun talking of creating 100
new cities – triggering important discussions on the merits of creating new cities versus scaling-up the old.
India’s urban development history has many examples of manufacturing spawning cities in the past century.
Like elsewhere in the world, manufacturing plants create ecosystems around themselves, becoming the
kernels of small towns. This took place in several sectors: iron and steel (Jamshedpur, Bokaro, Rourkela,
Bokaro, etc), automobiles (Pune, Chennai, etc), oil and gas (Jamnagar, Digboi, etc) and mining (Bellary,
Dhanbad, Asansol) among others. If India’s manufacturing sector grows exponentially in the next
decade, India may spawn a few new cities. There is little to indicate this kind of growth - on the contrary,
manufacturing’s contribution to India’s GDP has remained rather stagnant. On the other hand, we note the
rising share of services-dominated growth in the past decade and in most projections. This phenomenon
favors the strengthening and scaling-up of existing cities.
India has had little success in seeding new cities. Mihan near Nagpur, for example, created from scratch and
invested with roads, power and associated infrastructure, is beginning to see a glimmer of economic activity
after more than a decade of lying fallow. Lavasa, a city near Pune, saw a slow pick-up despite having in
place all the infrastructure people look for in a city. It remains to be seen whether GIFT near Ahmedabad
will see large private companies setting up shop there. In most cases cities require an economic engine for
people to congregate there which may or may not be available or may or may not take root in a new city.
India is hoping to seed seven new cities along the Delhi-Mumbai Industrial Corridor. Any manufacturing
activity that picks up in this corridor will attract investments in local infrastructure as well as workers with
skills that are in demand. Thus, indeed, are cities born. However, corridors like this one cannot absorb
all India’s urbanization needs and potential. On the other hand, smaller cities in India are growing briskly
with residents aspiring to better services and employment. India’s census towns are demanding a greater
share of attention from its authorities and India would do well to focus on these centers and provide urban
amenities and governance to these areas. In our view, new drivers of employment favor expansion as a
more sustainable urban development model than the planting of new cities.
Growing cities: the global experience of planting cities
Government cities: Many countries have tried to seed new cities by moving their seats of government
away from existing cities to new virgin territories. This is typically done to decongest the old city and to
give the administrative machinery more room. Given that most of the activity is related to the business of
government, these cities tend to have a very limited populations compared to the main cities. Exhibit 21
shows that most of these capital cities, even though they are almost a fourth or a fifth of the size of the
main city, host only a tenth of the population of the economically important cities. The densities of these
towns are hence significantly lower than the densities of the larger towns.
27KOTAK INSTITUTIONAL EQUITIES RESEARCH
GAME CHANGER
Exhibit 21: Administrative cities are far smaller than the large cities
Area and population of the administrative city and largest city in various countries, May 2014
Area Population Density
(sq. kms) (#) (people/sq. km.)
Australia
Administrative capital city Canberra 472 382,000 809
Largest city Sydney 2,037 3,980,000 1,954
Brazil
Administrative capital city Brasilia 673 2,426,000 3,605
Largest city Sao Paulo 2,849 20,273,000 7,116
Canada
Administrative capital city Ottawa 502 956,000 1,904
Largest city Toronto 2,287 6,345,000 2,774
Malaysia
Administrative capital city Putrajaya 49 67,964 1,387
Largest city Kuala Lumpur 1,943 6,635,000 3,415
Gujarat, India
Administrative capital city Gandhinagar 560,497
Largest city Ahmedabad 5,585,528
Notes:
(a) The data for Gujarat, India is based on Census 2011.
Source: Demographia World Urban Areas, Kotak Institutional Equities
These administrative capitals require meaningful investments to develop the infrastructure of buildings and
transport which gets funded by the State. However, most countries have shied away from this model simply
because it is simply too expensive to maintain a city for such limited use.
University towns: The world has many examples of thriving university towns, such as Boston in the US,
Oxford-Cambridge in the UK, Konstanz in Germany and Manipal in India. However, a country can have only
a handful of such towns at best and here too the reputations and size of the city takes decades to form.
Also, unless the town cultivates another attractive specialization, it is likely to remain limited in size without
sufficient opportunities to attract new residents.
In twenty-first century India, nurturing organic expansion appears to be the appropriate model to expand
the country’s urban footprint. This approach can be very successful if the government accords it the kind of
strategic planning and investment it appears eager to pour into creating new cities.
Twenty-first century urban development: city CEOs and scalable systems
Urban policy for contemporary times – and for the future – demands a brutal review of policies regarding
local governance and funding. Many rural areas are morphing into census towns (or what for every
practical purpose are urban areas but not recognized as such) while many cities are outgrowing their
administrative or master-plan boundaries. However, they continue to be governed by structures like gram
panchayats or powerless municipal corporations.
28 KOTAK INSTITUTIONAL EQUITIES RESEARCH
The 74th amendment to the Constitution of India assigned local governing bodies larger in governance.
This was intended to give greater responsibility to municipal corporations and their equivalent in rural
areas (Gram Panchayats) to bridge the distance between citizens and the state and central governments.
However, these institutions have still lacked the financial and legal muscle required to put in place
effective programs for growth in their jurisdictions. City councils in particular (municipal corporations) find
themselves at the mercy of a plethora of agencies differing in purview, scope (national, regional or city-
level) and purpose. A consolidated city plan typically has no identifiable champion.
A few Indian cities do have mayors, whose roles are purely ceremonial. In many large cities including China
and the US, city mayors have onerous responsibilities and governance powers – in such cities, the mayoral
position is often a stepping stone to national political office. A mayor who is directly elected by a city’s
populace can be held accountable for the well-being and growth of the city. More important, a mayor can
provide a clear vision for a city’s growth – compelling all departments mandated to create and maintain
public services to integrate their plans into the overarching vision.
City taxes are great revenue generators for local state governments: these monies are then allocated
across the state, particularly in the direction of important vote banks wherever in the state they may lie.
As urbanization alters voter demographics, we expect a sharper focus on the governance of cities. We
have noted that half of India may well be urbanized already (depending on definitions) – it is a question of
time when the semantic ambiguity is resolved and these areas are classified as urban. As the urban voter
finds his/her voice being spoken in the political mainstream, Indian cities should expect to get an ability to
determine their own destinies.
City building: who pays?
City governments are constrained to raise revenues on their own, making them dependent on the state
or on the centre or on schemes like the Jawaharlal Nehru Urban Renewal Mission (JNNURM) (see Exhibit
22). A city dependent on external funding is typically beholden to the interests that fund it, the priorities of
which (in terms of what projects need to be executed, where and when) can be very different from what
a city needs. More important, different authorities typically end up working in silos which impedes the
development of a grand master-plan for the city.
Exhibit 22: Municipalities in India are highly dependent on grants from states, and they run a deficit
Proportion of total revenues of municipalities in India, March fiscal year-end 2008 (%)
'Own' revenues - primarily property tax 34
'Own' revenues - non-tax 19
Grants, assignments and devolution by sate government 33
Grants by central government 5
Grants from Finance Commission 2
Others 7
Total income 100
Revenue expenditure 64
Capital expenditure 42
Total expenditure 106
Source: Thirteenth Finance Commission quoted in PK Mohanty's paper 'A Municipal Financing Framework',
Kotak Institutional Equities
29KOTAK INSTITUTIONAL EQUITIES RESEARCH
GAME CHANGER
Cities will have to turn to their residents for funds. Residents will have to be co-opted into the development
plans and funding for their cities. Good infrastructure raises the value of real estate in a city, which the city
needs to harness to fund itself. We look at these funding options in some detail below.
� Usage charges: A public good, by definition, needs to be available to all for use and its access should
not be restricted by an inability to pay for it. We noted earlier that utilities that under-price their
services typically get run down rather quickly. This is true of power and water utilities (more on this in
subsequent chapters). Roads are a public good that do not get priced appropriately even as larger
numbers of private vehicles continue to ply on them. It is simply not viable for cities to give its citizens
free infrastructure or price it so low, the revenue is insufficient either for maintenance or upgrade.
Typically, a large chunk of city residents can afford to pay for the development and maintenance of
infrastructure. The model followed by toll roads, telecom and to some extent, the power sector, sets an
example.
� Property taxes: For most Indian urban households, the roof over their heads is the most valuable
thing they own, accounting for the largest chunk of their net worth. The quality of urban housing
in India is poor, by and large, with high-end constructions offering the rich some choice only in the
past decade (more on this in the chapter on housing). Cities could well tap into the net worth of their
populations by instituting effective property taxes. As cities go about developing infrastructure, it leads
to a surge in real estate prices. This is especially so of transport infrastructure to areas that previously
not connected or poorly connected – as illustrated by rising property rates near the metro in Mumbai
and Delhi or around ring roads in cities like Hyderabad. This increase in capital value needs to be shared
equitably between the city and the citizen. Of course, the increase in property taxes needs to lead to a
concomitant increase in the quality of services which are not specifically billed, e.g., road lighting, fire
services, sewage, draining or garbage disposal.
� Land auctions: Cities can tap their new and old areas for funding. The new areas may develop either
on their own or their growth can be calibrated through the development of infrastructure. If the areas
develop spontaneously, cities miss out on the opportunity to shape their development and hence the
development can end up becoming haphazard. Cities would do well to imbibe a ‘transport-oriented-
development’ model to nudge the population to newer areas. Land in such areas can be auctioned
for development. Similarly, as older parts of the cities die, cities need to redevelop those land parcels
to continually revive the city. Mumbai’s conversion of its old mill area into a thriving business district
demonstrates the potential for this. Future conversions need not be as protracted and challenging if
approached more strategically and holistically, taking into account contentious issues like rehabilitation,
laws and litigation while creating a master plan for the area proposed for conversion. Auctions of high-
value, like Mumbai’s mill land, can significantly enhance the resource base for cities.
� Debt markets: The idea of city corporations accessing debt markets is a seductive one. However, we
believe Indian city treasuries are quite far removed from accessing this pool of money as is evident from
(1) the corporate bond market, which is typically much larger across the globe, not having yet taken off
in India for a variety of reasons, and (2) their lack of stable or reliable cash flows to support the issue of
debt. When cities show signs of financial independence through the measures outlined above, issuers
will be more comfortable accessing bond markets and investors will have greater conviction as well.
Even if a few municipalities manage to raise funds from the debt market, it is expected to remain a
niche and marginal resource base.
30 KOTAK INSTITUTIONAL EQUITIES RESEARCH
New cities would find it even more difficult to generate funds. If built from scratch, such cities would see
long gestation periods between investing and building smart infrastructure and attracting residents to live
and pay for the same. This can be costly, but more worryingly, it may turn out to be wasteful.
31
32 KOTAK INSTITUTIONAL EQUITIES RESEARCH
Shelter: a basic need
Exhibit 23 shows our calculations of the number of sq. ft of built-up area required by India as it urbanizes.
Urban India needs to almost double its built-up area to around 75 bn sq. ft in FY2025E from the current
~40 bn sq. ft – most of this in bad shape. As India builds out an average of 3 bn sq. ft of residential supply
every year over the next decade, it needs to improve dramatically its quality of housing as with increasing
prosperity, buyer profile and requirements will change rapidly.
Exhibit 23: India's residential housing demand will evolve meaningfully
Number of households and built-up sq. ft of residential demand, March fiscal year-ends, 2014-25E
2014 2015E 2016E 2017E 2018E 2019E 2020E 2021E 2022E 2023E 2024E 2025E
Number of households (mn)
Real rich 2.1 2.4 2.8 3.2 3.6 4.1 4.5 5.0 5.6 6.1 6.7 7.3
Upper class 2.0 2.1 2.2 2.3 2.3 2.4 2.5 2.6 2.7 2.8 2.9 3.0
Prospering 5.4 5.4 5.6 5.5 5.6 5.6 5.7 7.7 9.8 11.9 14.1 16.2
Evolving 12.5 15.4 18.3 21.3 24.8 29.2 33.6 36.1 39.1 42.2 45.5 48.9
Emerging 39.4 41.5 43.8 46.0 48.1 49.5 51.0 52.5 53.2 54.0 54.7 55.4
Surviving 29.7 27.7 25.6 23.7 21.4 19.0 16.5 14.0 11.7 9.4 6.9 4.6
Total 91.0 94.6 98.3 102.0 105.8 109.7 113.8 117.9 122.1 126.4 130.9 135.4
Cumulative built-up sq. ft required (bn)
Real rich 3.1 3.6 4.2 4.8 5.4 6.1 6.8 7.6 8.4 9.2 10.1 11.0
Upper class 2.0 2.1 2.2 2.3 2.3 2.4 2.5 2.6 2.7 2.8 2.9 3.0
Prospering 4.0 4.1 4.2 4.2 4.2 4.2 4.3 5.7 7.3 9.0 10.5 12.1
Evolving 6.2 7.7 9.1 10.7 12.4 14.6 16.8 18.0 19.5 21.1 22.8 24.4
Emerging 15.8 16.6 17.5 18.4 19.3 19.8 20.4 21.0 21.3 21.6 21.9 22.1
Surviving 8.9 8.3 7.7 7.1 6.4 5.7 4.9 4.2 3.5 2.8 2.1 1.4
Total 40.1 42.4 44.9 47.4 50.0 52.8 55.7 59.2 62.8 66.4 70.3 74.1
Incremental built-up sq. ft (bn)
Real rich 0.5 0.6 0.6 0.7 0.7 0.7 0.8 0.8 0.8 0.9 0.9
Upper class 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1
Prospering 0.0 0.1 (0.0) 0.0 0.0 0.1 1.5 1.6 1.6 1.6 1.6
Evolving 1.5 1.4 1.5 1.7 2.2 2.2 1.3 1.5 1.6 1.7 1.7
Emerging 0.8 0.9 0.9 0.9 0.5 0.6 0.6 0.3 0.3 0.3 0.3
Surviving (0.6) (0.6) (0.6) (0.7) (0.7) (0.7) (0.7) (0.7) (0.7) (0.7) (0.7)
Total 2.4 2.4 2.5 2.6 2.8 2.9 3.5 3.6 3.7 3.8 3.9
Source: Kotak Institutional Equities' RUPEES model
These calculations are based on modest assumptions of housing space needs (see Exhibit 24). Even at 1,500
sq. ft of space for an average ‘real-rich’ household, it amounts to a per-capita housing space of around 300
sq. ft. In the ‘Survivor’ category, the per-capita housing is barely 60 sq. ft, not much more than a prison
cell many countries. However, even these modest assumptions imply a significant upgrade of the current
housing facilities for Indians. The NSSO 63rd round survey had pointed out that 32% of all urban houses
were less than 258 sq. ft and 39% of rural houses are less than 312 sq. ft which shows the poor housing
conditions that Indians live in.
33KOTAK INSTITUTIONAL EQUITIES RESEARCH
GAME CHANGER
Exhibit 24: As Indians move up the income categories, they will want bigger homes
Estimates of area per house and per capita area availability in the residential sector (sq. ft)
Classification of households Unit area per house Per capita area
Real rich 1,500 300
Upper class 1,000 200
Prospering 750 150
Evolving 500 100
Emerging 400 80
Surviving 300 60
Source: Kotak Institutional Equities' RUPEES model
Residential demand accounts for about half the demand in any urban development. There is concomitant
demand for commercial, retail and to some extent, industrial buildings in a city. Applying this rule-of-
thumb, it is easy to envisage the magnitude of construction required in urban India. If India is to build out 6
bn sq. ft of building every year, at a current costing of Rs1,000 per sq. ft to Rs1,500 per sq. ft, it represents
an annual construction industry valued at Rs6-9 tn. We have, in the introduction section, highlighted the
amount of cement, steel and paints that will be required for this build out.
Housing paradox 1
India’s housing represents another aspect of the paradox of low FSI and high density: Indian cities have one
of the lowest floor space indices in the world (typically between 1 and 2 in most cases, compared with 4 or
more in many large urban locations). The paradox is that these small spaces accommodate among the most
dense populations in the world. Low FSI causes the price/value of land to surge, making it unaffordable
for many and this leads to a large number of people simply squatting on the land. What people cannot
afford economically, they try to grab politically through the sheer force of their numbers. In this context, it is
instructive to look at the slum regularization policies that many governments have followed, especially near
election time, particularly in cities like Delhi and Mumbai. The Census of India notes that 65.5 mn – more
than the entire population of the UK - people live in slums across urban India.
Few in urban India can afford to purchase the newer, well-constructed but expensive homes. The average
age of houses in urban India is ~20 years though there has been significant construction in the last decade
with 35% of all houses in urban India less than 10 years old (see Exhibit 25). However, we note that there
has been significant improvement over the last decade in the quality of housing in India (see Exhibit 26)
though a lot remains to be done.
34 KOTAK INSTITUTIONAL EQUITIES RESEARCH
Exhibit 25: Urban Indian houses are, on average, 20 years old
Percentage of households residing in dwelling units for different durations in perceived conditions excluding the non-
serviceable katcha housing, March fiscal year-end, 2011 (%)
Condition of structure
Good Satisfactory Bad Total
Less than 1 year 0.7 0.1 0.0 0.9
1 to 5 years 4.7 0.9 0.2 5.9
5 to 10 years 18.2 8.9 1.6 28.7
10 to 20 years 17.8 13.0 2.5 33.4
20 to 40 years 9.2 9.4 2.1 20.6
40 to 60 years 2.5 3.6 1.0 7.1
60 to 80 years 0.5 1.1 0.4 2.0
80 years or more 0.4 0.8 0.3 1.4
53.9 38.0 8.1 100.0
Source: Ministry of Housing and Urban Poverty Alleviation, Kotak Institutional Equities
Exhibit 26: Substantial improvement in quality of housing though a lot remains to be done
Households by ownership status, quality and amenities, March fiscal year-ends, 1991, 2001, 2011 (%)
2011
1991 2001 2011 Rural Urban
Households by material of roof
Grass/thatch/bamboo/wood/mud, etc. 31.3 21.9 15.0 20.0 4.6
Tiles 36.1 32.6 23.8 28.7 13.2
GI/ Metal/ Asbestos sheets 8.6 11.6 15.9 15.9 15.9
Concrete 10.8 19.8 29.0 18.3 51.9
Others 13.2 14.1 16.3 17.1 14.4
Total 100 100 100 100 100
Households by material of wall
Grass/thatch/bamboo, etc. 10.3 10.2 9.0 11.9 2.7
Mud/unburnt bricks 41.5 32.2 23.7 30.5 9.3
Stone 10.1 9.4 14.2 13.6 15.0
Burnt brick 34.2 43.7 47.5 40.0 63.5
Others 3.9 4.5 5.6 4.0 9.5
Total 100 100 100 100 100
Households by material of floor
Mud 67.0 57.1 46.5 62.6 12.2
Stone — 5.8 8.1 6.2 12.2
Cement 21.3 26.5 31.1 24.2 45.8
Mosaic/floor tiles 3.8 7.3 10.8 3.7 25.9
Others 7.9 3.3 3.5 3.3 3.9
Total 100 100 100 100 100
Households by source of water
Tap 32.3 36.7 43.5 30.8 70.6
Hand-pump and tube-well 30.0 41.2 42.0 51.9 20.8
Well 32.2 18.2 11.0 13.3 6.2
Others 5.5 3.9 3.5 4.0 2.4
Total 100 100 100 100 100
Source: Census India, Kotak Institutional Equities
35KOTAK INSTITUTIONAL EQUITIES RESEARCH
GAME CHANGER
Housing paradox 2
Thanks to its love for real estate investments, India is in the curious position of having more houses than
it has households. India’s households increased by 60 mn to 247 mn by end-FY2011 from 187 mn at end-
FY2001. Reflecting India’s higher ‘physical’ savings, the number of houses went up by 81 mn to 331 mn
from 250 mn. The urban increase is telling: 38 mn new houses for 24 mn new households (see Exhibit 27).
This does not mean that the housing shortage problem has been solved: as of end FY2012, urban India had
a deficit of 18.7 mn new houses and rural India was short of 43.1 mn (see Exhibit 28) houses.
Exhibit 27: 81 mn new housing units were created in the last decade; only 60 mn new households were created
Housing stock, Marsh fiscal year-ends, 2001 and 2011 (mn)
FY2001 FY2011 Delta
Rural Urban Total Rural Urban Total Rural Urban Total
Occupied 168 65 233 207 99 306 39 34 73
of which,
Residential 129 50 179 160 76 236 31 26 57
Residential-cum-other uses 6 2 8 6 2 9 — — 1
Non-residential 33 13 46 41 21 62 8 8 16
Vacant 10 7 17 14 11 25 4 4 8
Total houses (A) 178 72 250 221 110 331 43 38 81
Number of households (B) 132 55 187 168 79 247 36 24 60
Difference (A) - (B) 46 17 63 53 31 84 7 14 21
Source: Census of India, Kotak Institutional Equities
Exhibit 28: Congestion is the biggest housing problem in India
Summary of households that have a housing shortage, March fiscal year-end, 2012 (mn)
Households living in non-serviceable katcha housing 1.0
Households living in obsolescent houses 2.3
Households living in congested houses requiring new houses 14.9
Households in homeless conditions 0.5
Total urban India 18.7
Households living in temporary houses 20.2
Households living in obsolescent houses 7.5
Households living in congested houses requiring new houses 11.3
Households in homeless conditions 4.2
Total India 43.1
Total India 61.8
Source: Ministry of Housing and Urban Poverty Alleviation, National Housing Bank, Kotak Institutional Equities
More than three-fourths of urban residents live cheek by jowl in cramped spaces. The irony of this amidst
plenty arises from two critical impediments: (1) low FSI ratio, which makes land very expensive and (2) the
inability to commute cheaply and quickly, which means that people have to congregate in and around areas
where they can find economic activity and public infrastructure.
36 KOTAK INSTITUTIONAL EQUITIES RESEARCH
Affordable housing: not an oxymoron
As much as 70% of the urban housing shortage therefore arises from the bottom four deciles of
households whose ability to pay is severely constrained, see Exhibit 29. If one looks at the monthly per-
capita expenditure (MPCE) at the 40th percentile and calculates the ability to pay for a house (as we do in
Exhibit 30), we find that the buying capacity of such households is capped at ~Rs300,000.
Exhibit 29: The lowest deciles are priced out of the market
Housing shortage by tenure categories, March fiscal year-end, 2012 (mn)
Average MPCE Average HH size
Decile (Rs) (number) Self-occupied Rented Total
1 521 5.9 2.8 1.0 3.8
2 722 5.3 2.3 1.0 3.3
3 870 5.1 1.4 0.8 2.2
4 1,028 4.7 2.1 1.7 3.7
5 1,420 4.6 0.4 0.4 0.9
6 1,688 4.2 0.8 0.8 1.7
7 2,051 4.0 0.8 0.6 1.4
8 2,681 3.6 0.6 0.4 1.0
9 5,673 3.3 0.4 0.2 0.7
10 2.7 0.1 0.1 0.2
Total 11.7 7.0 18.7
Source: Ministry of Housing and Urban Poverty Alleviation, Kotak Institutional Equities
Exhibit 30: The low-cost housing needs to be very affordable given the low MPCE
The ability of the 40th percentile household to pay for housing, March fiscal year-end, 2012 (`)
MPCE at 40th percentile (A) 1,028
Annual expenditure per capita (B*12) 12,335
Number of people in an urban household (average) 4.7
Total annual household expenditure (C) 58,469
Annual household income (125% of C, assuming some savings, etc.; D) 73,086
Housing to income ratio (E) 4.0
Possible value that the household can afford (D*E) 292,344
Source: Ministry of Housing and Urban Poverty Alleviation, Kotak Institutional Equities
MPCE numbers are typically significantly understated and even if we were to adjust for that, a large portion
of the unmet housing needs are at an economic value of Rs0.5-1 mn. Assuming that households of five
members can crowd into spaces of 250-400 sq. ft, housing stock of Rs1,250-4,000 per sq. ft would be
needed to address the needs of people up to the 40th expenditure percentile.
37KOTAK INSTITUTIONAL EQUITIES RESEARCH
GAME CHANGER
Three significant changes can help keep costs in control: (1) availability of a larger land area on the
periphery of the city, (2) cheap and fast transport to and from the city’s commercial hubs and (3) higher FSI,
such that the available land can be made more productive. Raising the FSI ratio is in itself no panacea as
a higher FSI will need to go hand-in-hand with improved access to infrastructure (of transport, schooling,
health, leisure, water, etc). The creation of infrastructure, especially transportation, creates its own positive
externalities and this can be financially harnessed to develop infrastructure.
It is not very difficult to meet these pricing expectations, especially as the three points start getting
addressed. However, the ability to finance 4X the gross income (as we have assumed in our example above)
typically does not exist as the household is not considered credit-worthy by conventional banking channels.
Many unorganized or non-banking channels offer credit to such households but at significantly higher rates
of interest and lower tenures, thereby reducing the multiple to gross income that the households can get to
buy their homes for. Developing a financing market for this segment is important.
Another alternative that India has rarely seriously considered (given the high “ownership” rates here, see
Exhibit 31) is the development of a rental market. Residential housing in India typically offers very low yield:
this low yield expectation should be harnessed to develop a thriving rental market. The ability of many
households to live in better conditions can be strengthened if they could move to secure long-term rental
houses. Large rental colonies owned by investors populated by a population that is finding its economic
feet in a city can be a meaningful game-changer.
Exhibit 31: More than five out of six households in India own their homes
Ownership and rentals of homes, March fiscal year-ends, 1991, 2001 and 2011 (%)
2011
1991 2001 2011 Rural Urban
Owned 86.3 86.7 86.6 94.7 69.2
Rented 11.8 10.5 11.1 3.4 27.5
Others 1.9 2.8 2.3 1.9 3.3
Total 100.0 100.0 100.0 100.0 100.0
Source: Census of India, Kotak Institutional Equities
The challenge of housing for the segment below the 40th percentile of the expenditure bracket is daunting.
We have noted that more than 70% of the housing deficit is in this segment. The solutions will lie in
(1) making economic growth trickle down further via good education, employability and employment,
(2) requiring development of low-cost housing nearby if higher FSI is offered, and (3) development of
‘transit rental housing’ strategies where the government can be the owner of well-constructed housing,
which is given out on rent for a set number of years till a person/family can find its feet in the city, say for a
decade or so.
We note that it has never been a prudent or successful strategy to move people far from economic centers,
which defeats the main reasons why people move to a city – better opportunity and proximity to work.
Delineating distant suburbs for the poor is therefore an unworkable or impractical solution, too many will
chose to live in closely packed quarters closer to their places of work. Cities must have housing units at
various price points in their various hubs, including the cheapest.
38 KOTAK INSTITUTIONAL EQUITIES RESEARCH
The South Korean model has some answers
When South Korea went through a phase of high growth in the 1980s, it faced similar housing problems.
Good quality housing was restricted to few and the average quality left a lot to be desired. Having lost a
fifth of its housing stock in the war of 1950s, the Korean government had made multiple announcements
in the intervening decades on the construction of new housing. By the mid-1980s, the number of houses to
households was only around 70%, leading to sky-high prices. Unaffordable housing became the platform
on which Mr Noh won the presidential election of 1987. The presidency was clinched by his promise to
create four million new housing units on a base of around six million units (see Exhibit 32). This plan was
later scaled down to around two million units, of which 0.9 million were built in and around Seoul. A
quarter of a million units were allocated for low-cost housing. Notably, the project relied heavily on private
capital financing: 67.7% was provided by prospective home buyers through pre-sales, 22.3% by loans from
the National Housing Fund and only a minor portion (around 10%) came from the government.
Exhibit 32: The Korean government intervened in the housing market, creating superior physical outcomes
Indicators of housing stock in South Korea, calendar year-ends, 1980-2010
unit 1980 1985 1990 1995 2000 2005 2010
Housing stock '000 5,318 6,104 7,160 9,204 10,959 12,494 13,884
Housing space per capita m2 10 11 14 17 20 23 25
Housing space per household m2 46 46 51 59 63 66 67
Number of people per room person 2.1 1.9 NA 1.1 0.9 0.8 0.7
Housing units with warm water % 10 20 34 75 87 96 98
Housing units with water-borne toilets % 18 33 51 75 87 94 97
Housing supply ratio* % 74 70 72 86 96 106 113
Housing units/1,000 people unit 142 151 170 215 249 280 302
Notes:
(a) * Housing supply ratio = (total housing units)/(total number of households); based on the 2010 census definition of a household.
Source: Managing Housing Market Volatility: Korean Case, Man Cho, Professor, KDI School; World Bank Institute,
Kotak Institutional Equities
Land acquisition for the plan was a particular challenge. In the 1960s and 1970s, land supply for residential
development was mostly through negotiations between private parties – landowners and developers.
Realizing the need for large-scale land acquisition for residential development, the government instituted
a land expropriation system from the late 1970s. In particular, the Housing Construction Promotion
Act was revised in 1977 to empower the Korea National Housing Corporation (KNHC) to conduct
housing construction and supply projects. The Act gave KNHC the right to expropriate land for housing
development.
The Land Development Promotion Act in 1980 further enabled the government to (1) re-zone large tracts
of agricultural land or forested areas, allowing their conversion into residential land, and (2) mandate
that landowners sell such land to the government at prices determined by a publicly certified appraisal
organization. The compensation was determined before the designation and up-zoning, which led to
heated differences between landowners and government agencies. [Facts on Korean Housing are drawn
from a World Bank paper by Prof. Man Cho of KDI School.]
39KOTAK INSTITUTIONAL EQUITIES RESEARCH
GAME CHANGER
Co-opting landowners into the urban growth story
It is moot that governments need to make land more easily available and then generate a supply shock
such that housing does not end up becoming a luxury. The history of land acquisition in India suggests that
government expropriation will not work in India. Co-opting landowners in the periphery of a city as it plans
its growth is hence critical.
Most often, the land on the periphery of a city is agricultural. Exhibit 33 notes that land designated for
urban use - commercial, industrial or residential - is valued at 30-50X the value of agricultural land. As the
unit of measurement gets calibrated more finely, switching from hectares to square feet, a lot of value gets
created in the process!
Exhibit 33: Land prices increase as we move closer to a city
Economics for the farmer assuming two crops, none fail
Rural - irrigated Rural - unirrigatged Semi-urban Urban
Location Mangrol Mangrol Sehore Misrod
Description 120 kms off Bhopal 120 kms off Bhopal 5 kms from Sehore 12 kms from Bhopal
Land price (Rs/acre) 500,000 300,000 1,000,000 20,000,000
Source: Discussion with landowners, Kotak Institutional Equities
Cities can expand more easily if andowners are able to benefit from this value transition. This requires two
critical things to fall in place: (1) clear and enforceable title to land and (2) easy tradability. India has begun
to digitize its land records, but it will take a while before we see the benefit of this through more efficient
and transparent property trading (see Exhibit 34).
Exhibit 34: Various state governments are progressing briskly towards digitization of land records
Status of land record digitization across Indian states
Whether Whether legal Whether Whetherhand-written sanctity given to ROR map
record computerized available available State discontinued ROR on web Website address on web Date
Assam Yes Yes Yes http://10.177.15.67/webdharitree No Jan 18, 2012
Bihar No No No No Jan 18, 2012
Chhattisgarh No Yes Yes http://cg.nic.in/cglrc Yes Mar 28, 2012
Goa Yes No Yes http://dslr.goa.nic.in No Jan 18, 2012
Gujarat Yes Yes No No Jan 18, 2012
Haryana No Yes Yes http://www.jamabandi.nic.in No Jan 18, 2012
Himachal Pradesh Yes Yes Yes http://admis.hp.nic.in/himbhoomilmk No Jan 09, 2012
Karnataka Yes Yes Yes http://bhoomi.karnataka.gov.in/ No Jan 18, 2012 landrecordsonweb
Kerala No No No No Jan 19, 2012
Maharashtra No Yes Yes http://mahabhulekh.maharashtra.gov.in No Jan 18, 2012
Sikkim Yes Yes No No Jan 18, 2012
Tamilnadu Yes Yes Yes http://taluk.tn.nic.in/eservicesnew/home.html No Jan 31, 2012
Tripura Yes Yes Yes tsu.trp.nic.in/jami No Feb 03, 2012
Uttarakhand Yes Yes Yes http://devbhoomi.uk.gov.in No May 26, 2012
Uttar Pradesh Yes Yes Yes http://bhulekh.up.nic.in No Jan 18, 2012
West Bengal Yes Yes No No Feb 16, 2012
Total 11 13 11 1
Source: National Land Records Modernization Programme, Department of Land Resources, Kotak Institutional Equities
40 KOTAK INSTITUTIONAL EQUITIES RESEARCH
Easier tradability requires that the state does away with the artificial distinction of what is agricultural land
and what is not. Given the wide arbitrage in value, the current distinction only creates scope for corruption.
More important, a closed market where only a farmer can buy agricultural land from another farmer
only creates less liquidity and poorer price discovery; people anyways find ingenious ways to change their
vocations in official records.
If the owners of land on the periphery of a city can be made champions of urbanization, the process of
development of a city can be quick and rewarding for all (as the famous Magarpatta example of Pune
illustrates).
41
42 KOTAK INSTITUTIONAL EQUITIES RESEARCH
Mobility
A city’s roads are its arteries. The economic vitality of a city depends on the ability of its citizens and goods
to move around the city to create economic value. A quick and cheap way to move both makes for a
thriving city. As we noted earlier, an efficient transport system allows the city to expand out, further from
its business district. More important, in an economy dominated by the services sector, different services
congregate in different places in a city – the ability to quickly and cheaply move around to and from various
hubs is important.
The importance of mobility can be gauged from the fact that urban planners now talk of ‘transit-oriented-
development’ rather than ‘development-oriented-transit’. The current thinking in urban planning suggests
the primacy in developing transit modes so that they guide the development of the city – this is in stark
contrast to the earlier thought process that transit modes should follow development. ‘Build and they will
come‘ is now the guiding philosophy.
The potential build-out
Modern cities go significantly beyond conventional conduits of transport like roads. Many have successfully
introduced modes like the metro, trains and waterways. Even if we focus on the two big aspects of
transport, urban roads and metros/trains, we find the build out will be quite meaningful – in terms of
physically expanding current networks and the money that will be required for the same.
Indian urban planning guidelines (Service Level Benchmarks of the Ministry of Urban Development)
propound that roads should occupy 11% of every sq. km of urban area in a city (7% for towns). The other
service-level benchmark of the same policy is that the road density should be 12.25 kms per sq. km of area.
Using the 12.25 kms per sq. km criterion, we find that (1) Indian cities fall significantly short of planned
road acreage (see Exhibit 35; we must point out that we are skeptical of the quality of data, which suggests
that West Bengal has a fourth of all the urban roads in India) and (2) the build-out will need to be 5X the
current available stock of roads over the next 10 years (see Exhibit 36).
43KOTAK INSTITUTIONAL EQUITIES RESEARCH
GAME CHANGER
Exhibit 35: Urban Indian roads are only a third of what the Indian benchmark suggests, and in poor shape
Length of urban roads by type of surface in India, March fiscal year-end, 2012 (kms)
Total Surfaced Unsurfaced
States
West Bengal 108,337 80,062 28,275
Uttar Pradesh 77,205 50,723 26,482
Karnataka 42,972 28,946 14,026
Tamil Nadu 22,250 19,872 2,378
Gujarat 21,870 17,808 4,062
Maharashtra 20,620 15,379 5,241
Odisha 19,042 11,763 7,279
Kerala 18,922 15,732 3,190
Punjab 14,699 12,582 2,117
Madhya Pradesh 14,570 10,383 4,187
Andhra Pradesh 13,759 10,935 2,825
Rajasthan 12,599 10,685 1,914
Haryana 10,492 7,128 3,364
Bihar 8,918 3,819 5,099
Chhattisgarh 8,116 6,140 1,976
Assam 6,710 4,742 1,967
Uttarakhand 4,464 3,167 1,297
Himachal Pradesh 2,257 1,802 456
Jammu & Kashmir 1,762 1,752 10
Jharkhand 671 635 36
Goa 591 522 69
Mizoram 377 324 53
Tripura 280 211 69
Manipur 212 156 56
Sikkim 162 160 2
Meghalaya 110 106 4
Nagaland 98 96 2
Arunachal Pradesh 53 53 —
Union territories
Delhi 29,511 20,825 8,686
Chandigarh 1,802 1,797 5
Puducherry 682 645 37
Andaman & Nicobar Islands 138 138 —
Daman & Diu 39 39 —
Lakshadweep 5 5 —
Dadra & Nagar Haveli — — —
All India 464,294 339,131 125,163
Urban area (sq. kms) 102,220
Road density (km/sq. km.) 4.54 3.32 1.22
Benchmark 12.25
Source: State departments of municipal administration/urban affairs, Directorate of Works, Engineering in Chief's Branch,
Integrated HQ of MoD (Army), zonal railway headquarters, major port trusts, state maritime boards, Kotak Institutional
Equities
44 KOTAK INSTITUTIONAL EQUITIES RESEARCH
Exhibit 36: Investment in urban roads requires a Rs40 tn investment until FY2025E
The net new urban area required every year, March fiscal year-ends, 2011-25E
2012E 2025E
Urban area (sq. km.) 105,331 148,635
Stock of urban roads required (mn kms) 1.3 1.8
Current road length (kms) 0.5
Incremental roads required (mn kms) 1.4
Cost of urban road (Rs mn per km.) 30.0
Total spend on roads (Rs tn) 40.7
Notes: (a) The benchmark of 12.25 kms of urban road per sq. km. of urban area is derived from the Ministry of Urban Development,Government of India.
Source: Census of India, Shlomo Angel, McKinsey report on urbanization in India, Kotak Institutional Equities estimates
If India were to build out these roads and we take a conservative costing of Rs30 mn per km. for urban
roads, India will need to budget for Rs40 tn worth of roads. Given that by 2025E, 63 cities in India are
expected to have populations of more than a million people, all such cities will, according to the current
thought process of the Ministry of Urban Development, be eligible for metro systems of their own. If we
add this component -- metros under consideration and construction -- India’s transport spend on these two
accounts alone will be upwards of Rs50 tn.
India has successfully been able to communicate to its citizens the idea that for inter-city roads, a toll needs
to be paid to make the project economically viable. This is not necessarily the case with urban roads which
are typically provided to the citizens as a free common public good. Even if the idea of tolling urban roads
is both a difficult sell and a difficult one to execute, India needs to move towards congestion pricing, high
parking charges, property taxes, etc. to generate revenue for maintenance and development of its roads.
Railway/metro pricing is increasing – though the current spat in Mumbai between the operator and the
state government shows that a wide chasm remains between what the state thinks its citizens have a
capacity (or willingness) to pay for and what makes a project economically viable.
Transport in urban India – in a sorry state
The rationale for making these large investments is to offer the urban consumer better quality travel
facilities. Unfortunately, there are limited large-scale surveys on the same and the best data that is available
comes from a 2007 report commissioned by RITES.
Exhibit 37 shows the quality of commute in urban India in terms of (1) the mode of commute, (2) the
average speed of travel and (3) the average distances travelled in various types of cities. We also note that
larger cities see much longer commutes in terms of distance. If we juxtapose them with the slower speeds
in larger cities, the travel time exponentially expands. Pollution caused by transport ranks as one of the
largest pollutants across large Indian cities (see Exhibit 38). Investment in infrastructure is critical if cities are
not to choke on themselves; however, a detailed substantial debate is required on the relative merits and
demerits of the various modes of transport.
45KOTAK INSTITUTIONAL EQUITIES RESEARCH
GAME CHANGER
Exhibit 37: Two-fifths of transport in India is still non-motorized
Mode share of trips in urban India, March fiscal year-end, 2007 (%)
Mode of transport Average Average
Two Public speed trip length
City category Population Walk Cycle wheeler transport Car IPT (a) (km./hr) (kms)
Category-1a >0.5 mn with plain terrain 34 3 26 5 27 5 26 2.4
Category-1b <0.5 mn with hilly terrain 57 1 6 8 28 — 2.5
Category-2 0.5-1.0 mn 32 20 24 9 12 3 22 3.5
Category-3 1.0-2.0 mn 24 19 24 13 12 8 18 4.7
Category-4 2.0-4.0 mn 25 18 29 10 12 6 22 5.7
Category-5 4.0-8.0 mn 25 11 26 21 10 7 19 7.2
Category-6 > 8. mn 22 8 9 44 10 7 17 10.4
National 28 11 16 27 13 6 7.7
Notes: (a) IPT = Intermediate Public Transport
Source: Study on Traffic and Transportation Policies and Strategies in Urban Areas in India, Wilbur Smith and Associates,
Ministry of Urban Development, Kotak Institutional Equities
Exhibit 38: Road dust and transport are the two largest causes of pollution in Indian cities
Different causes of pollution in India in six Indian cities, 2012 (%)
Pune Domestic, 11
DG Sets, 4
Transport, 7
Brick Kilns, 16
Waste burning, 5
Road dust, 57
ChennaiDomestic,
11
DG Sets, 14
Transport, 43
Brick Kilns, 7
Road dust, 57
Others, 11
Kanpur Domestic, 11
DG Sets, 4
Transport, 43
Waste burning, 5
Road dust, 57
Industries, 8
Delhi
Domestic, 7
DG Sets, 9
Transport, 14
Waste burning, 17Industries, 8
Dust+Construction, 45
Mumbai
Waste burning, 16
Industries, 13
Dust, 35
SIA, 15
Marine, 4 Transport, 17
Bengaluru
Transport, 18
Road dust, 57
Industries, 9
Secondary, 8
Domestic, 4
DG Sets, 11
Source: India Transport Report: Moving India to 2032; National Transport Development Policy Committee, Kotak Institutional Equities
Even as India improves its public transport, it needs to take into account the large influx of private vehicles.
As in the rest of the world, as more Indians become financially stronger, they aspire to private transport
(see Exhibit 39). India’s penetration rate of cars is so low currently that if India were to go the way of the
developed world, its car population can rise to more than 50X the current size!
46 KOTAK INSTITUTIONAL EQUITIES RESEARCH
Exhibit 39: Indian motor vehicle population can explode if India follows the global trend
Penetration of vehicles across various countries, calendar year-end, 2010
Per 1,000 persons
Country GNI per capita (US$) Passenger cars Two wheelers Total motor vehicles
Developed
US 47,350 627 27 797
UK 38,140 457 20 519
Japan 42,050 453 27 491
Germany 42,970 517 47 572
Australia 46,200 556 30 695
Developing
Mexico 8,930 191 10 275
Malaysia 7,760 325 332 361
South Africa 6,090 112 7 165
Brazil (a) 9,540 178 75 NA
China 4,270 44 75 58
South Korea 19,720 276 37 363
India (b) 1,260 15 96 132
Notes:(a) Data relates to 2009.(b) Data regarding passenger cars, total motor vehicles and two wheelers relate to 2012.
Source: Basic Road Statistics of India, 2011-12, Kotak Institutional Equities
Two wheelers have been the favorite mode of private transport in India even as cars pick up steadily (see
Exhibit 40). This is symptomatic of the low purchasing power in India but more important, it is because the
road space is so limited that a two wheeler is a more efficient mode of transport than a four wheeler.
Exhibit 40: Dramatic increase in private transport
Registered motor vehicles in India, March fiscal year-ends, 1951-2012 ('000)
All vehicles Two wheelers Cars, Jeeps and taxis Buses (a) Goods vehicles Others (b)
1951 306 27 159 34 82 4
1961 665 88 310 57 168 42
1971 1,865 576 682 94 343 170
1981 5,391 2,618 1,160 162 554 897
1991 21,374 14,200 2,954 331 1,356 2,533
2011 141,866 101,865 19,231 1,604 7,064 12,102
2012 159,491 115,419 21,568 1,677 7,658 13,169
Notes: (a) Includes omni buses since 2001.(b) Others include tractors, trailers, three wheelers (passenger vehicles)/LMV and other miscellaneous vehicles which are not classified separately.
Source: Offices of State Transport Commissioners/UT Administrations as reported in Basic Road Statistics of India,
2011-12, Kotak Institutional Equities
It is important to note that the carrying capacity of two wheelers and four wheelers in India is now much
more than the carrying capacity of busses (see Exhibit 41). This shortage of public transport manifests itself
on Indian roads where buses almost always carry significantly beyond their certified capacity – so too the
suburban railways.
47KOTAK INSTITUTIONAL EQUITIES RESEARCH
GAME CHANGER
Exhibit 41: Carrying capacity of buses is significantly lower than that of private transport
Registered motor vehicles in India and their carrying capacities, March fiscal year-end, 2012 ('000)
Two wheelers Cars, Jeeps and taxis Buses
Number of vehicles 115,419 21,568 1,677
Typical carrying capacity (#) 2 4 40
Total carrying capacity 230,838 86,272 67,080
Source: Offices of State Transport Commissioners/UT Administrations as reported in Basic Road Statistics of India,
2011-12, Kotak Institutional Equities
The cost of public transport is kept significantly low, in many cases much below the economic cost of
operating the same. This leads to a deterioration of the public service and forces people to opt for personal
transport, clogging the streets. Converting citizens to public transport requires (1) changes in economic
incentives in favor of public transport and away from private transport, coupled with (2) improving the
quality of the commute. The suggestions here are obvious and have been reiterated in multiple committee
reports. We note in Exhibit 42 that many cities in India are now developing or planning to develop their
own metro systems.
Exhibit 42: Several more cities will require metro systems over the next 5-10 years
Metro projects under execution and being planned
Length Project cost Completion
Metro Awarded to (km) (Rs bn) date
Operational
Delhi Metro Phase I Central and state 62 106 Dec-05
Kolkata Metro Phase I-III State 24 NA Dec-10
Delhi Metro Phase II Central and state 125 161 Aug-11
Mumbai Metro Phase I line I ADAG Group 11 24 Jun-14
Under execution
Jaipur Metro Rail Project State 33 91 Jun-13
Bengaluru Metro Phase I State 42 116 Dec-13
Mumbai Metro Phase I line II State 32 120 Dec-14
Gurgaon Metro rail project ILFS-DLF consortium 6 21 Mar-15
Chennai Metro State 43 146 Dec-15
Delhi Metro Phase III Centre and state 103 350 Mar-16
Kolkata Metro Project Phase II Centre 93 134 Mar-16
Kochi Metro rail project Centre and State 25 52 Mar-16
East West Metro rail project (Kolkata) State 14 49 Jul-16
Hyderabad Metro rail project L&T 71 121 Jul-17
Bengaluru Metro Phase II State 72 250 Dec-17
Under planning
Pune Metro rail project State 74 80
Ahmedabad - Gandhinagar Metro Rail Project State 101 120
Ludhiana Metro project State 28 103
Nagpur Metro Project State 45 80
Total 1,003 2,123
Source: News reports, industry sources, Kotak Institutional Equities
48 KOTAK INSTITUTIONAL EQUITIES RESEARCH
Telecommuting for work, entertainment, shopping
The nature of regular travel is undergoing a sea change and is likely to evolve rapidly in the immediate
future. Planners would do well to take cognizance of these changes:
Communication technology: Most travel is on account of work, education or leisure – all of which
require the physical presence of a person. As communication technologies evolve, they are allowing people
to enjoy many of these things from the comfort of their homes.
Multi-hub city models: Cities are seeing the development of satellite hubs that are increasingly self
sufficient, assuming the character of flagship cities with time. As cities themselves move towards a mixed-
development model, distances traveled will potentially decline even as the frequency of trips may increase.
Urban city design needs to take into account the movement of freight in a city. The pattern of intra-city
freight movement is changing dramatically thanks to the development of e-commerce. Where consumers
went to shops and lugged their purchases home, we now have e-shopping seeing a large set of goods
delivered to consumer doorsteps. E-commerce valuations hitting the headlines these days are an indicator
of the potential of this trade. Freight forecasting must take this into account as it can only grow.
Typically freight movement in an Indian city is enabled by fleets of vehicles of all sizes as well as non-
motorized transport (handcarts, rickshaws, etc.). Freight movement requires the planning of loading and
unloading points. Warehouses located close to the city can interfere with the flow of passenger traffic while
those located too far compound heavy-vehicle traffic and increase costs. Given the importance of non-
motorized freight in India to the day means that the average speeds of road transport in India typically is
determined by the slowest-moving freight vehicle.
49
50 KOTAK INSTITUTIONAL EQUITIES RESEARCH
Infrastructure for the city
The key to making city life affordable lies in providing all citizens with access to high-quality but affordable
infrastructure services like power and water. We note that citizens don’t necessarily look for the cheapest
(or free) delivery of these services – what is valued more is consistency, quality and quantity of delivery.
Traditionally, these are services that have been significantly subsidized in India and in many cases these low
resources have compromised the quality of the utility: what is provided free is not valued by the consumers.
Water: drinking water demand
India’s National Water Policy 2002 prioritizes drinking water over other uses of water. However, as with all
policies Indian, there is a sub-clause which allows for re-prioritization, if so required. The drinking water
segment has been stealthily privatized due to the failure of urban water utilities.
India prices its water low and compounds this sin by failing to collect these charges efficiently. As we note
in Exhibit 43, the all-India average (20 cities) price of water is less than Rs5/cu meter. However, 31.8%
of this is unaccounted for water (UFW), i.e. it is not billed. The water availability is limited to an all-India
average of only 4.3 hours in a day. Unfortunately, such is the state of apathy in this sector that the last
benchmarking exercise in this sector was done by the Asian Development Bank in 2007. We saw similar
apathy in the previous chapter on the urban transport sector where we worked off 2007 data.
Exhibit 43: Water utilities in India work at less than operating costs, providing poor service
Parameters for the functioning of urban water utilities, March fiscal year-end, 2007
Average tariff Unaccounted for water Revenue O&M Operating ratio Availability
(Rs/m3) (%) (Rs mn) (Rs mn) (X) (hours/day)
Ahmedabad 1.4 NA 223 318 1.4 2.0
Amritsar 9.3 57.0 172 234 1.4 11.0
Bengaluru 20.6 45.0 4,255 3,414 0.8 4.5
Bhopal 0.6 NA 100 282 2.8 1.5
Chandigarh 5.0 39.0 404 548 1.4 12.0
Chennai 10.9 17.0 3,127 1,388 0.4 5.0
Coimbatore 3.7 41.0 135 111 0.8 3.0
Indore 2.8 NA 165 881 5.3 0.8
Jabalpur 1.5 14.0 62 104 1.7 4.0
Jamshedpur 4.5 13.0 532 328 0.6 6.0
Kolkata 1.1 35.0 260 1,228 4.7 8.3
Mathura 0.6 NA 9 28 3.1 2.0
Mumbai 4.6 13.0 8,789 4,284 0.5 4.0
Nagpur 6.6 52.0 561 424 0.8 5.0
Nashik 4.3 60.0 182 214 1.2 3.5
Rajkot 5.1 23.0 92 148 1.6 0.3
Surat 1.7 NA NA NA NA 2.5
Varanasi 3.2 30.0 140 182 1.3 7.0
Vijayawada 2.2 24.0 91 104 1.1 3.0
Vizag 8.6 14.0 525 411 0.8 1.0
All India avg. 4.9 31.8 19,823 14,629 1.6 4.3
Source: Asian Development Bank, Kotak Institutional Equities
51KOTAK INSTITUTIONAL EQUITIES RESEARCH
GAME CHANGER
Larger cities like Chennai, Mumbai and Bengaluru are more ‘profitable’ than others, their operating ratio
(the ratio of their costs to their revenues) being less than one. Jamshedpur, the only city whose water utility
is in private hands, is also able to recover costs. Across India, however, water utilities are plagued by water
theft and high operating ratios.
The failure of public utilities is evident from daily scenes of bulk water delivered to some residential societies
by water tankers in towns and cities; each carrier bears a load of up to 10 cubic meters of water. The
tankers source their water from ground water or from municipal supplies and provide them to localities
which are not connected to the urban water supply grid, or which get less than they need from allocated
supplies. They charge upwards of Rs1,000 in Mumbai for a payload of 10 cubic meters, as against
municipality charges of Rs50 for a similar volume.
The failure of utilities has also fuelled the growth of the packaged water industry and water purifiers. In
effect, the failure of a public utility has posed a private cost on its residents who now need to spend time
and money cleaning up the water that comes to their homes. We covered these segments in some detail in
an earlier GameChanger report: Water – A Deluge of Opportunity. [May 2010]
India also does not treat its waste water. According to estimates by India’s Central Pollution Control Board,
as much as 69% of India’s water goes untreated (see Exhibit 44). The same report also states that 39% of
the actual operating capacity does not meet the government’s standards for the safe disposal of water.
Exhibit 44: Seven-tenths of waste water in India is not treated
Amount of waste water treated/left untreated in India (mn liters per day, 2006)
Population Sewage Treated Untreated % treated
Metro > 1 million 15,644 8,040 7,604 51
Class I cities 100,000 to 1 million 19,914 3,513 16,401 18
Class II towns 50,000 to 100,000 2,696 234 2,462 9
Total 38,254 11,787 26,467 31
Source: Status of water supply, wastewater generation and treatment in class-I cities and class-II towns of India, Central
Pollution Control Board, Kotak Institutional Equities
Municipalities across the world price water significantly higher than the current price in India (see Exhibit
45). The pricing of water by municipal bodies in developed economies typically includes charges for
cleaning the waste water generated after consumption but not so in India. Some water utilities like Delhi
have, over the last few years, raised water charges by up to 50%, imposed fixed monthly service charges
and added sewerage maintenance charges. Mumbai has made only tepid attempts to price its water
effectively, and failed in these attempts. Tentative steps to create water utilities are discussed in cities like
Delhi and Mumbai, but so far there has been no tangible movement. If the creation of water utilities takes
off, just like the creation of distribution companies in the case of the electricity sector, it can open up
investment opportunities.
52 KOTAK INSTITUTIONAL EQUITIES RESEARCH
Exhibit 45: Indian water charges are meaningfully low, though they are rising
Water and waste water charges across various countries, March fiscal year-ends, 2009, 2011 (US$/cu. m.)
2009 2011
Water Waste water Domestic use (lpcd) Water Waste water Domestic use (lpcd)
China 0.27 0.12 95 0.34 0.12 95
Denmark 8.83 — 114 4.32 4.52 114
France 3.58 0.66 232 3.24 1.31 232
Germany 3.12 1.75 151 3.33 2.02 151
India 0.08 — 139 0.14 0.01 139
Russia 0.35 0.24 NA 0.61 0.39 368
South Korea 0.49 0.16 552 0.56 0.20 552
UK 2.03 2.20 139 2.07 2.19 139
US 1.03 1.42 616 1.29 1.69 616
Source: Global Water Intelligence, Kotak Institutional Equities
Privatizing water is a sensitive issue, and not just in India. Attempts to privatize water in Latin American
countries triggered mass protests, followed by city governments backing down. The rallying case for
opponents of privatization is Cochabamba in Bolivia, where violent protests by residents on increased
water-usage charges spooked the government into backing out of its agreement with a private company.
In India, Delhi and Mumbai have experimented with limited privatization, without success. Smaller towns,
however, have taken the lead in experimenting with the privatization of water management and service
delivery. Nagpur’s water is managed and provided by Veolia, a private party. Veolia is also working with
the government of Karnataka in smaller cities like Gurburga and Hubli-Dharwad. As cities begin to get
more comfortable with the idea of the private sector handling their water needs, the trend may pick up in
earnest across the country.
The power situation
Indian cities’ demand for power is growing meaningfully, at 7% a year, faster than the rate of growth of its
urban population, which is expected to be 2.7% over the next 10 years (see Exhibit 46).
53KOTAK INSTITUTIONAL EQUITIES RESEARCH
GAME CHANGER
Exhibit 46: Demand for electricity will double across major cities in urban India
Energy requirement of larger cities in India, end years of various plan periods (mn units)
XIth plan XIIth plan XIIIth plan
Fiscal year-end 2012 2017 2022
Ahmedabad 7,862 11,133 16,097
Bengaluru 12,300 16,260 21,219
Chennai 15,273 21,434 26,236
Delhi 22,393 31,905 45,793
Hyderabad 13,528 20,652 29,730
Indore 2,007 3,325 5,292
Jaipur 3,905 6,743 10,683
Kanpur 3,046 4,023 5,131
Kolkata 15,528 20,006 25,588
Lucknow 4,840 6,796 9,074
Mumbai 22,107 30,568 43,039
Nagpur 2,311 3,193 4,820
Pune 7,760 12,819 21,111
Surat 8,029 11,053 15,225
Total 140,889 199,910 279,038
Source: Report on Eighteenth Electric Power Survey of India, Central Electricity Authority, Ministry of Power,
Kotak Institutional Equities
This demand push is coming from not just the consumer sector but from the commercial sector too (see
Exhibit 47). The Report on Eighteenth Electric Power Survey of India states, “The increasing trend in the
commercial category is primarily due to the rapid pace of increase in consumption due to development
of malls and other related activities. The drop in industrial utilization is primarily due to shifting to service
industries from manufacturing units”. Even as one arm of the government prepares to make manufacturing
25% of India’s GDP, other arms seem to have a healthy skepticism about the same. More pertinent, latent
demand in urban India is high with hardly any meaningful mechanization having taken place.
Exhibit 47: The domestic sector will continue to lead power demand
Power demand from sectors over various plan periods (%)
XIth plan XIIth plan XIIIth plan
Domestic 35.8 35.3 35.4
Commercial 23.4 24.6 26.2
Industrial 32.6 31.8 30.5
Others 8.2 8.3 7.9
Total 100.0 100.0 100.0
Source: Report on Eighteenth Electric Power Survey of India, Central Electricity Authority, Ministry of Power,
Kotak Institutional Equities
54 KOTAK INSTITUTIONAL EQUITIES RESEARCH
Power utilities suffer from the same fate as water utilities: they are required to meaningfully under-price
their services. Unlike water, where the pricing decisions rest with every urban local body, power is a state
subject and prices are typically set at the state level. State electricity boards run into steep losses because
of the policy of under-pricing power. States have, over the last couple of years, started to raise the power
prices (see Exhibit 48) but a lot remains to be done to avoid losses.
Exhibit 48: Various states have announced tariff revisions
Details of announcements of tariff revisions by states
Revenue/unit (Rs/kWh)
State Last hike (%) 2010 2011 2012 2013 2014
Andhra Pradesh 20% 2.7 3.2 3.2 3.8 4.6
Bihar 12% 3.0 3.9 4.4 5.0 5.6
Chhattisgarh 18% 2.9 3.1 3.6 4.3 5.0
Delhi 21% 4.5 3.8 4.2 5.0 6.1
Goa 0% 3.2 2.9 2.9 2.9 2.9
Gujarat 3% 3.9 3.8 3.9 4.2 4.3
Haryana 13% 3.4 3.4 3.4 4.0 4.6
Himachal Pradesh 13% 4.0 3.4 3.7 3.7 4.2
Jammu & Kashmir 9% 2.4 2.9 2.9 3.2 3.4
Jharkhand 0% 2.8 3.0 3.3 3.9 3.9
Karnataka 0% 3.3 4.0 4.0 4.0 4.0
Kerala 8% 3.4 3.5 3.5 4.6 5.0
Madhya Pradesh 1% 3.5 3.6 3.6 3.9 3.9
Maharashtra 0% 4.2 4.6 4.6 5.5 5.5
Odisha 2% 3.0 3.8 4.6 5.1 5.2
Punjab 9% 2.6 2.6 2.8 3.0 3.3
Rajasthan 13% 2.7 2.5 3.1 3.7 4.2
Tamilnadu 0% 2.8 3.1 3.1 4.2 4.2
Uttarakhand 5% 3.3 3.4 3.4 3.7 3.9
Uttar Pradesh 5% 3.0 3.7 3.7 4.3 4.5
West Bengal 0% 3.9 4.4 4.4 5.7 5.7
Notes:(a) The average tariff for a year is computed as ARR for the year/number of units sold (actuals/estimated).(b) In case of multiple distribution utilities, the tariff hike is averaged over the utilities for which orders are issued.(c) The tariff hike is assumed only for a case in which the ARR petition has been approved.
Source: SERC, Infraline, Kotak Institutional Equities
In many cases, it is not just about raising the cost of power. Power is delivered as inefficiently as water –
older cities use infrastructure created during British rule. A recent World Bank report notes the success of
the Bhiwandi distribution franchise (Bhiwandi is a textile hub in Maharashtra near Mumbai). In a matter of
four years, AT&C losses fell to 15% from 58.5%, collection efficiency shot up to 99% from 58% and load-
shedding became a thing of the past (see Exhibit 49).
55KOTAK INSTITUTIONAL EQUITIES RESEARCH
GAME CHANGER
Exhibit 49: Bhiwandi has shown the way
Operating and other paramaters for the power utility in Bhiwandi, March fiscal year-ends, 2007-11
2007 2011
AT&C losees (%) 58 19
Number of transformers 2,254 2,611
Distribution transformer failure rate (%) 42 3
Metering (%) 23 98
Load-shedding (hours/day) 10–12 —
Collection efficiency 58 99
Number of feeders 46 86
Extra high voltage capacity 550 1,000
Customers 174,000 235,000
Use of information technology None SCADA, AMR
Source: World Bank report, More Power to India, Kotak Institutional Equities
Pricing and collection are critical
The privatization of utility services conjures images of profiteering. It is important to note that it is the
maintenance and operation of the utility that is up for privatization and not the commodity itself, whether
water or power. This requires a strong state governance mechanism to prevent the private sector from
using its natural monopoly position to make super-normal profits from essential utilities.
India needs to structure the pricing of its water and power utilities right. All developments on the demand
side as well as conservation efforts will get a significant boost once the signaling mechanism of pricing is
in place. Indian urban utilities also suffer from long delays in collecting their dues with average debtor days
being more than half a year for both water and power utilities. Complete metering, economically viable
pricing and ensuring that the sums due are collected requires strict enforcement. This is critical to ensure
not just generation of revenue but also to foster a culture of compliance. If a few people get away without
paying, it invariably creates a question in the minds of the compliant population. Across the agriculture,
industry and residential segments, the pricing and collection of these utilities can lead to the realization of
their economic value, prompting more efficient use.
56 KOTAK INSTITUTIONAL EQUITIES RESEARCH
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58 KOTAK INSTITUTIONAL EQUITIES RESEARCH
Flexible and integrated master plans
Indian cities will grow significantly larger in area. Many city master-plans take into account incremental
growth in population around a single economic hub. India’s urban growth will deviate meaningfully from
that on city blueprints on account of our forecast trends in (1) de-densification and (2) multi-model (or
multi-hub) development. The modern city must provide for flexible land use – it must create processes to
facilitate the process of land conversion from agricultural to residential/commercial land. This will also allow
the city treasury to benefit directly and officially from such conversions, currently a gray and shadowy area.
A consultative and flexible planning process could respond quickly to changing needs of the city. This is
easier said than done in light of the plethora of laws and agencies that govern the process of urbanization.
The consultative approach must take into account the long-term growth of the city, and offer its residents
the opportunity to live and work outside the heart of the flagship city. This requires city limits to extend
and build out land outside the city to develop new hubs. Stakeholders in a city’s development therefore
include not just its current residents but its future residents who live in adjacent areas as well. Inevitably and
inexorably, the city will stretch to include these residents in due course.
City master plans must take into account projections for population growth and the character of
surrounding lands, making provisions for new city centers.
Mayoral system – localized city representation
Robust cities need empowered and directly elected leaders for their city governments. Whether the
leader is called a mayor, city president or CEO is moot – such a role comes with accountability and the
responsibility to develop and execute integrated city development plans. As the gap between the number
of urban Indians and rural Indians begins to close, we will see a sharper focus on the governance of
cities. The mayor’s office can be the one that defines the overarching vision for the city’s development
and co-ordinates between all the providers of services and capital goods needed to realise the vision. We
expect that as urban voters become stronger political constituencies they will demand locally responsive
governments.
Financial prudence
Indian cities have typically very poor levels of governance simply because they do not have the ability to
fund their own maintenance and development and hence remain vassals of the state or the centre. Property
taxes and utility prices need to rise simply so that cities can create utilities that function.
Indian cities are small when compared with most other larger cities in the world. As India prepares to de-
densify, it should use the building of infrastructure in the periphery of the city to complement its increase
in property taxes or development charges. If Mumbai has to grow to the size of New York, it will need to
grow 5-20X its current land area (depending on what estimate we take of the land area of these cities).
Covering such large areas will require pre-emptive setting up of infrastructure – the value of which will
need to be financed by eventual residents.
59KOTAK INSTITUTIONAL EQUITIES RESEARCH
GAME CHANGER
India remains a poor country and the pricing of utilities is an issue typically fraught with political
sensitivities. However, we have noted examples of how utilities need to improve outcomes through effective
and efficient management so that a larger populace is able to get the service from the utility: today, given
the decrepit nature of various utilities, many neighbourhoods get excluded as there is no money to build
infrastructure. In most cases, a well regulated private entity can bring efficiencies.
Development of housing capacity
The poor quality and quantity of housing in India means there will be a massive push towards better
housing. Our calculations suggest India will need to build an average of 6 bn sq. ft of capacity every year
over the next decade. The real estate industry in India is tightly controlled and large parts of it remain
unorganized. India needs to streamline rules for housing to allow more organized players and timely
approval and completion of projects.
Low-cost housing. This involves two shifts in present thinking: (1) increasing bankability for a large section
of the population so that they are credit-worthy at low rates of interest and (2) opening up large areas of
land so it is cheap and available for construction. The city must explore the idea of an easy, secure leased-
housing market for new migrants. India can pick up helpful hints from South Korea, which induced a
massive supply shock in the mid-1980s, to ensure that almost everyone owned a home.
Significant investment in moving people and goods within the city
A concomitant requirement of the increase in the land area of cities will be the need to develop very large-
scale transport solutions. A large part of the transport need is being met privately (people buying their
own 2- or 4-wheelers), cities must improve and then incentivize public transport to reduce congestion and
pollution. Mixed-use housing (following a pattern of ‘transport-oriented development’) should mean that
travel distances decline even as the frequency of trips may increase. The challenge in building in transport
infrastructure is to figure out how to make these utilities recover investment and pay for operational costs.
"I, Akhilesh Tilotia, hereby certify that all of the views expressed in this report accurately reflect my personal
views about the subject company or companies and its or their securities. I also certify that no part of my
compensation was, is or will be, directly or indirectly, related to the specific recommendations or views
expressed in this report."
60 KOTAK INSTITUTIONAL EQUITIES RESEARCH
NOTES
GAMECHANGER VOL. V.1 - August 2014
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