economics 216: the macroeconomics of developmentljlau/courses/econ216/216lecture1.pdf · itself and...

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Economics 216: The Macroeconomics of Development Lawrence J. Lau, Ph. D., D. Soc. Sc. (hon.) Kwoh-Ting Li Professor of Economic Development Department of Economics Stanford University Stanford, CA 94305-6072, U.S.A. Spring 2002-2003 Email: [email protected]; WebPages: http://WWW.STANFORD.EDU/~LJLAU

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Page 1: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Economics 216:The Macroeconomics of Development

Lawrence J. Lau, Ph. D., D. Soc. Sc. (hon.)Kwoh-Ting Li Professor of Economic Development

Department of EconomicsStanford University

Stanford, CA 94305-6072, U.S.A.

Spring 2002-2003

Email: [email protected]; WebPages: http://WWW.STANFORD.EDU/~LJLAU

Page 2: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lecture 1The Historical Experience of

Economic Development

Lawrence J. Lau, Ph. D., D. Soc. Sc. (hon.)Kwoh-Ting Li Professor of Economic Development

Department of EconomicsStanford University

Stanford, CA 94305-6072, U.S.A.

Spring 2002-2003

Email: [email protected]; WebPages: http://WWW.STANFORD.EDU/~LJLAU

Page 3: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 3

Defining and Measuring DevelopmentWhat distinguishes a developed from a developing (underdeveloped) economy?Economic development is multi-dimensional.Level of well-being (aggregate and per capita).

Current consumption of goods and servicesPotential consumption of goods and services (gross national product (GNP))Net change in tangible wealth (increase in physical capital stock, discovery and depletion of natural resources) Current and future potential consumption of goods and services (national wealth, including natural resources and intangible wealth such as human, R&D and other forms of intellectual capital, goodwill)Quality of life (leisure, life expectancy, literacy, health (infant mortality, morbidity), environment, choice (freedom), security, rule of law)

Distribution of consumption, income, wealth and other benefits of economic development; satisfaction of basic needs; extent and incidence of poverty (both in itself and along ethnic, class and geographical lines); equality of opportunities (consumption externalities).An economically developed country may be underdeveloped in other non-economic, e.g., social and political, dimensions.The rate of growth is just as important as the level--Is there improvement over time? Is life getting better? Is there hope for the future?

Page 4: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 4

GNPs of Selected Economies, 2000GNP of Selected Countries/Regions, 2000

(Data source: World Bank)

$0

$2

$4

$6

$8

$10

$12

Uni

ted

Stat

es

Uni

ted

Kin

gdom

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ce

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man

y

Ital

y

Japa

n

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ece

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ugal

Spai

n

New

Zea

land

Bra

zil

Mex

ico

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na

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g K

ong,

Chi

na

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nesi

a

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ea, R

ep.

Mal

aysi

a

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ppin

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apor

e

Tai

wan

Tha

iland

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sian

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erat

ion

Slov

enia

Nig

eria

Country/Region

trillion US$

Page 5: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 5

Distribution of GNP Per CapitaTotal World GNP in 2001 was US$31.5 trillion (compared to an U.S. GNP of approximately US$10 trillion)World GNP per capita in 2001 was US$ 5,140

Type of economy Average Per Capita GNPLow-Income US$430Lower & Middle-Income US$1,160High-Income US$26,710

GNP per capita in 2000 ranges from a low of US$100 (Ethiopia) to a high of US$42,060 (Luxembourg), a multiple of more than 400. U.S. GNP per capita in 2000 is US$34,100.The mode of the distribution of GNP per capita by countries is between US$200 and US$400, with a relative frequency of 0.168; the median is between US$1,660 and US$1,670 (Russia, Tonga, West Bank & Gaza, and Romania).GDP per capita in 2002

United States US$37,000China US$980

Page 6: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 6

Real GNPs per Capita of Countries and Regions of the World, US$, 2000

1 Ethiopia 100 44 Zimbabwe 460 87 Romania 1670 130 Mexico 50702 Burundi 110 45 Senegal 490 88 Guatemala 1680 131 Czech Rep 52503 Sierra Leone 130 46 Haiti 510 89 Iran, Islam 1680 132 Uruguay 60004 Eritrea 170 47 Armenia 520 90 Jordan 1710 133 St. Kitts an 65705 Malawi 170 48 Congo, Rep 570 91 Fiji 1820 134 Seychelles 70506 Guinea-Bissau 180 49 Indonesia 570 92 Macedonia 1820 135 Saudi Arab 72307 Niger 180 50 Cameroon 580 93 Suriname 1890 136 Argentina 74608 Tajikistan 180 51 Lesotho 580 94 Maldives 1960 137 Korea, Rep 89109 Chad 200 52 Bhutan 590 95 Marshall I 1970 138 Malta 912010 Burkina Faso 210 53 Azerbaijan 600 96 El Salvado 2000 139 Barbados 925011 Mozambique 210 54 Cote d'Ivo 600 97 Thailand 2000 140 Antigua an 944012 Rwanda 230 55 Solomon Is 620 98 Colombia 2020 141 Slovenia 1005013 Mali 240 56 Georgia 630 99 Namibia 2030 142 Portugal 1112014 Nepal 240 57 Papua New 700 100 Peru 2080 143 Greece 1196015 Madagascar 250 58 Ukraine 700 101 Tunisia 2100 144 Cyprus 1237016 Cambodia 260 59 Turkmenis 750 102 Micronesia 2110 145 New Zeala 1299017 Nigeria 260 60 Equatorial 800 103 Dominican 2130 146 Macao, Ch 1458018 Kyrgyz Republ 270 61 China 840 104 Jamaica 2610 147 Bahamas, 1496019 Tanzania 270 62 Sri Lanka 850 105 St. Vincent 2720 148 New Caled 1506020 Central African 280 63 Guyana 860 106 Belarus 2870 149 Spain 1508021 Angola 290 64 Honduras 860 107 Latvia 2920 150 Israel 1671022 Lao PDR 290 65 Djibouti 880 108 Lithuania 2930 151 French Pol 1729023 Sao Tome and 290 66 Syrian Ara 940 109 South Afri 3020 152 Kuwait 1803024 Togo 290 67 Yugoslavia 940 110 Turkey 3100 153 Italy 2016025 Uganda 300 68 Kiribati 950 111 Belize 3110 154 Australia 2024026 Zambia 300 69 Bolivia 990 112 Gabon 3190 155 Canada 2113027 Sudan 310 70 Philippines 1040 113 Panama 3260 156 Ireland 2266028 Gambia, The 340 71 Albania 1120 114 Botswana 3300 157 France 2409029 Ghana 340 72 Vanuatu 1150 115 Malaysia 3380 158 United Kin 2443030 Kenya 350 73 Morocco 1180 116 Brazil 3580 159 Belgium 2454031 Uzbekistan 360 74 Ecuador 1210 117 Estonia 3580 160 Singapore 2474032 Bangladesh 370 75 Bosnia and 1230 118 Slovak Rep 3700 161 Netherland 2497033 Benin 370 76 Kazakhstan 1260 119 Mauritius 3750 162 Germany 2512034 Mauritania 370 77 Cape Verd 1330 120 Grenada 3770 163 Finland 2513035 Yemen, Rep. 370 78 Swaziland 1390 121 Costa Rica 3810 164 Austria 2522036 Comoros 380 79 Paraguay 1440 122 Lebanon 4010 165 Hong Kon 2592037 Mongolia 390 80 Samoa 1450 123 St. Lucia 4120 166 Sweden 2714038 Vietnam 390 81 Egypt, Ara 1490 124 Poland 4190 167 Iceland 3039039 Moldova 400 82 Bulgaria 1520 125 Venezuela, 4310 168 Denmark 3228040 Nicaragua 400 83 Algeria 1580 126 Chile 4590 169 United Sta 3410041 Pakistan 440 84 Russian Fe 1660 127 Croatia 4620 170 Norway 3453042 Guinea 450 85 Tonga 1660 128 Hungary 4710 171 Japan 3562043 India 450 86 West Bank 1660 129 Trinidad a 4930 172 Switzerlan 38140

173 Luxembou 42060

GNP per Capita, US$,2000

Page 7: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 7

Relative Frequency Distribution of Real GNP per Capita of Countries & Regions of the World

Relative Frequency Distribution of Real GNP per Capita of Countries & Regions of the World

0.00

0.02

0.04

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0.08

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0

1400

2800

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9800

1120

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1260

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2240

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3080

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0

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0

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0

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0

4200

0

Real GNP per Capita, 2000 US$

Rel

ativ

e Fr

eque

ncy

<2000 2000-6000 6000-10000 >10000

Page 8: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 8

Is Economic Development an Absolute or Relative Concept?

In 1963, Japan was considered to have achieved developed countrystatus by attaining the then GNP per capita of Italy, which had the lowest level of GNP per capita among the developed countries at the time (US$6,000 in 1963 prices, equivalent to US$28,100 in 2000 prices).A year later, Japan was admitted as a member of the Organization for Economic Cooperation and Development (OECD)South Korea (GNP per capita = US$8,910 in 2000) was admitted as a member of OECD in 1997 (however, South Korean GNP per capita declined precipitously in US$ terms as a result of the East Asian currency crisis of 1997-1998).Should we use the real GNP per capita of Italy in 1963 or the current real GNP per capita of Italy (US$20,160 in 2000) as a criterion?

Page 9: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 9

GNP per Capita of Selected Economies, 20002000 GNP per Capita of Selected Countries and Regions

(Data Source: The World Bank)

0

5,000

10,000

15,000

20,000

25,000

30,000

35,000

40,000

Uni

ted

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es

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gdom

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ce

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man

y

Ital

y

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n

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ece

Port

ugal

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n

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Zea

land

Bra

zil

Mex

ico

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na

Hon

g K

ong,

Chi

na

Indo

nesi

a

Kor

ea, R

ep.

Mal

aysi

a

Phili

ppin

es

Sing

apor

e

Tai

wan

Tha

iland

Rus

sian

Fed

erat

ion

Slov

enia

Nig

eria

Sout

h A

fric

a

Country/Region

US$

Page 10: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 10

A Working Definition of a Developed Economy

Economies on the borderline of “developed” statusEconomy Per Capita GNP in 2000Argentina US$7,460Greece US$11,960Italy US$20,160South Korea US$8,910Mexico US$5,070New Zealand US$12,990Portugal US$11,120Slovenia US$10,050Spain US$15,080Taiwan US$14,188

An economy is said to be developed if its GNP per capita exceedsUS$10,000 in 2000 US$.There are very few economies that will be wrongly classified.

Page 11: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 11

Measurement and Comparability IssuesGNP--Gross National Product--the value of goods and services produced by the nationals of a country (regardless of location) in a given period.GDP--Gross Domestic Product--the value of goods and services produced within the geographical boundaries of a country or region in a given period.The differences between GNP and GDP—net factor incomes from abroad--incomes of foreign direct investment and expatriate workers, profits earned by foreign investors (both portfolio and direct) and lenders—are for most economies quite minor.As an indicator of the well-being or the standard of living of the nationals of a country, GNP is more reliable than GDP.

Page 12: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 12

GNP/GDP RatiosGNP/GDP Ratio

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

1.8

0 5000 10000 15000 20000 25000 30000 35000 40000 45000

GNP per Capita (2000 US$)

GN

P/G

DP

Rat

io

1960 1970 1980 1990 2000

Page 13: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 13

Measurement and Comparability IssuesAggregate or per capitaLevel or rate of growthMarket or “Purchasing-Power-Parity” (PPP) exchange rate

Relative prices of goods and services differ across countriesOne would want to make international comparison of aggregate real output or GNP that abstracts from differences in relative prices--use of a single common set of pricesAn index number problem--the outcome depends on the set of prices usedDifferences in prices across countries are the greatest in the non-tradable sector (e.g., real estate, service sector); prices of tradable goods are less variable across countries although there are also differences in transportation costs, tariffs, distribution margins and tastes.Differences in prices may in turn induce differences in the composition of the outputs of different countries, further affecting the results of the comparison—it is in principle possible for two economies to have alternately a higher “PPP” GDP than the other depending on the set of prices used. PPP adjustments typically raise the GNP of low-income countries and lower the GNP of high-income countries

Differences in basic needs (e.g., climatic and physiological differences) may also cause differences in prices in addition to differences in tastes.

Page 14: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 14

GNP (PPP) per Capita and GNP per Capita,1995

GNP (PPP) per Capita and GNP per Capita, 1995, US Dollars

0

5,000

10,000

15,000

20,000

25,000

30,000

35,000

40,000

45,000

0 5,000 10,000 15,000 20,000 25,000 30,000 35,000 40,000 45,000

GNP per Capita, 1995 US$

GN

P (P

PP) p

er c

apita

Page 15: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 15

GNP (PPP) per Capita and GNP per Capita, 2000

GNP (PPP) per Capita and GNP per Capita, 2000, US Dollars

0

5,000

10,000

15,000

20,000

25,000

30,000

35,000

40,000

45,000

0 5,000 10,000 15,000 20,000 25,000 30,000 35,000 40,000 45,000

GNP per Capita, 2000 US$

GN

P (P

PP) p

er C

apita

Page 16: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 16

GNP (PPP) per Capita and GNP per Capita, 1995 (Logarithmic Scale)

GNP (PPP) per capita and GNP per capita, 1995, US Dollars

10

100

1,000

10,000

100,000

10 100 1,000 10,000 100,000

GNP per capita

GNP

(PPP

) per

cap

ita

Page 17: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 17

GNP (PPP) per Capita and GNP per Capita, 2000(Logarithmic Scale)

GNP (PPP) per Capita and GNP per Capita, 2000, US Dollars

10

100

1,000

10,000

100,000

10 100 1,000 10,000 100,000

GNP per Capita, 2000 US$

GN

P (P

PP) p

er C

apita

Page 18: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 18

Measurement and Comparability IssuesTangible and intangible investment and wealth (the effect of treatment of expenditures on education, R&D, software, goodwill, re-organization and restructuring that are routinely expensed (for accounting and tax reasons) in under-estimating true value-add (GNP) and savings and investment)Depletion of exhaustible resources--oil, forests, other minerals, guano, etc--and degradation of air and water and other natural and environmental resources should be subtracted from GNP (it is similar to a reduction of the stock of inventory)

Kuwait and Saudi Arabia have high measured GNP per capita but are not considered developed economies

Unrealized capital gains and lossesThe value of time (leisure) and other non-market activities

e.g., imputation of income from owner-occupied residential housing and consumer durableMarketization or monetization boosts measured GDP and GNP without necessarily increasing welfare to the same extent. Is there real value added?

Is an expenditure on a good or service a benefit or a cost? A question of the origin or initial conditions (e.g., should elective surgery be treated differently from non-elective surgery?)

Page 19: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 19

Indicators of Economic Development Other Than Real GNP per Capita

Real consumption per capita; energy consumption per capitaThe rate of growth of population; the rate of fertility

Economic development is almost always preceded by a decline in the rate of growth of population (the outliers in 2000 are Jordan and Singapore) and the rate of fertilityThe rate of fertility has been shown empirically to depend on female education and female educational and employment opportunities and on the degree of urbanization

The shares of value added originating from and the share of labor force employed by agriculture (primary), industry (secondary) and service (tertiary) sectors

The shares of agriculture in GDP and employment always decline with the level of economic development, with the former declining faster than the latter. However, two kinds of services may be distinguished--high value-added and low-value added services (internet, financial, professional services versus fast-food and hawking in the streets). Thus, the shares of the service sector are frequently higher than the shares of the industrial sector throughout the process of economic development. Ultimately, for developed economies, the service sector dominates.

Real wealth per capita (physical, human, and other intangible wealth (e.g., R&D capital), and natural resources); capital intensityConstruction of the “National Balance Sheet”--adding up wealth creation, depletion of natural resources and degradation of the environment as well as the net stock of portfolio and direct investments abroad and subtracting net debt owed to foreign nationals.US$10,000 in 2000 prices as a marker separating developed and developing economies

Page 20: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 20

Demographic Transition:The Rate of Growth of Population, 1995 (1)

Rate of Growth of Population and GNP per capita

-2.0

0.0

2.0

4.0

6.0

8.0

10 100 1,000 10,000 100,000

GNP per capita

Rate

of G

row

th o

f Po

pula

tion

(198

0)

Page 21: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 21

Demographic Transition:The Rate of Growth of Population, 1995 (2)

Rate of Growth of Population and GNP per capita (without oil producers)

-2.0

-1.0

0.0

1.0

2.0

3.0

4.0

5.0

10 100 1,000 10,000 100,000

GNP per capita

Rate

of G

row

th o

f Pop

ulat

ion

(198

0)

Page 22: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 22

Demographic Transition:The Rate of Growth of Population, 2000 (1)

Rate of Growth of Population and GNP per capita

-1

0

1

2

3

4

5

10 100 1,000 10,000 100,000

GNP per Capita, 2000, US$

Rat

e of

Gro

wth

of P

opul

atio

n (1

980-

2000

), Pe

rcen

t p.a

.

Page 23: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 23

Demographic Transition:The Rate of Growth of Population, 2000 (2)

Rate of Growth of Population and GNP per Capita (without oil producers)

-1

0

1

2

3

4

5

10 100 1000 10000 100000

GNP per Capita, 2000 US$

Rat

e of

Gro

wth

of P

opul

atio

n (1

980-

2000

)

Page 24: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 24

Demographic Transition:Total Fertility Rate and GNP per Capita

Total Fertility Rate and GNP per Capita, 1995 and 2000

0

1

2

3

4

5

6

7

8

10 100 1,000 10,000 100,000

Real GNP per Capita, US$

Tot

al F

ertil

ity R

ate

1995

2000

Page 25: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 25

Why Do the Shares of the Agricultural Sector in Both GDP and Employment Decline?

The demand sideEngel’s Law—the household demand for food (primary commodities) rises less than proportionately as income, I.e., its share of the budget declines or equivalently the income elasticity of demand is less than one; increased aggregate demand must come from other sectorsThe price elasticity of demand for food (agricultural commodities) is low—increases in the quantity of agricultural output result in less than proportionate increase in the value of agricultural output

The supply sideThe supply of arable land is fixed, limiting expansion of supplyIncreased productivity in agriculture releases labor force to the other sectorsThere is much more scope for product and process innovation in the industrial and service sectors compared to that of agriculture

Page 26: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 26

Sectoral Composition of Outputand GNP per Capita, 1995

Sectoral Composition of Output and GNP per capita, 1995

0

10

20

30

40

50

60

70

80

90

10 100 1,000 10,000 100,000

GNP per capita

Perc

ent

% Agriculture value added 1995% Industry value added 1995% Services value added 1995

Page 27: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 27

Sectoral Composition of Output and GNP per Capita, 1995 (without Oil Producers)

Sectoral Composition of Output and GNP per Capita, 1995 (without Oil Producers)

0

10

20

30

40

50

60

70

80

90

10 100 1,000 10,000 100,000

GNP per capita

Perc

ent

% Agriculture value added 1995% Industry value added 1995% Services value added 1995

Page 28: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 28

Sectoral Composition of Output and GNP per Capita, Cross-Section of All Economies, 2000

Sectoral Composition of Output and GNP per capita, 2000

0

10

20

30

40

50

60

70

80

90

10 100 1,000 10,000 100,000

GNP per capita, 2000 US$

Perc

ent

% Agriculture value added 2000% Industry value added 2000% Service value added 2000% Manufacturing value added 2000

Page 29: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 29

Sectoral Composition of Output and GNP per Capita, 2000 (without Oil Producers)

Sectoral Composition of Output and GNP per Capita, 2000, without Oil Producers

0

10

20

30

40

50

60

70

80

90

10 100 1,000 10,000 100,000

GNP per Capita, 2000 US$

Perc

ent

% Agriculture value added 2000% Industry value added 2000% Service value added 2000% Manufacturing value added 2000

Page 30: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 30

Sectoral Composition of Labor Forceand GNP per Capita, 1995

Sectoral Composition of Labor Force, 1990, and GNP per Capita, 1995

0

10

20

30

40

50

60

70

80

90

100

10 100 1,000 10,000 100,000GNP per capita

Perc

ent

Agriculture 1990Industry 1990

Page 31: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 31

Sectoral Composition of Labor Force and GNP per Capita, Cross-Section of All Economies, 2000

Sectoral Composition of Labor Force and GNP per Capita, 2000

0

10

20

30

40

50

60

70

80

90

100 1,000 10,000 100,000

GNP per capita

Perc

ent

Agriculture Industry Services

Page 32: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 32

Tangible Capital Stock per Labor Hour (1980 US$): Selected Economies

Tangible Capital Stock per Labor Hour (1980 U.S.$)

0

10

20

30

40

50

60

1953

1955

1957

1959

1961

1963

1965

1967

1969

1971

1973

1975

1977

1979

1981

1983

1985

1987

1989

1991

1993

1995

1980

US$

per

Lab

or H

our

China Hong KongIndonesia S. KoreaMalaysia PhilippinesSingapore TaiwanThailand JapanNon-Asian G5

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Lawrence J. Lau, Stanford University 33

Non-Economic Indicators of DevelopmentPolitical and social dimensions of economic development

Life expectancy; infant mortality; morbidity; nutritional status; and other health status and service accessibility indicators

Life expectancy and other health status indicators generally rises with GNP per capita; however, there are countries high GNP per capita but low life expectancy (Swaziland, Namibia, South Africa, Botswana, Gabon) with low GNP per capita but high life expectancy (Tajikistan and Kyrgyz Republic) and low infant mortality

Literacy (The outliers in 2000 are Saudi Arabia and Kuwait)Educational enrollment and attainment ratesDue process or the rule of law; equality of opportunity in education and employment; social mobility; choice (freedom)The level of community satisfaction--community preferencesDegree of democratization

Page 34: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 34

Life Expectancy at Birth and GNP per Capita, 1995

Life Expectancy and GNP per capita

30

35

40

45

50

55

60

65

70

75

80

10 100 1,000 10,000 100,000

GNP per capita

Life

Exp

ecta

ncy

at B

irth

(199

5)

Page 35: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 35

Life Expectancy at Birth and GNP per Capita, 2000

Life Expectancy and GNP per Capita

30

40

50

60

70

80

90

10 100 1,000 10,000 100,000

GNP per Capita, 2000 US$

Life

Exp

ecta

ncy

at B

irth

, 200

0

Page 36: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 36

Literacy and GNP per Capita, 1995Adult Literacy and GNP per capita

0

10

20

30

40

50

60

70

80

90

100

10 100 1,000 10,000 100,000

GNP per capita

Adul

t Lite

racy

(199

5), p

erce

nt

Page 37: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 37

Male and Female Literacy and GNP per Capita, 2000

Adult Literacy and GNP per Capita

0

10

20

30

40

50

60

70

80

90

100

10 100 1,000 10,000 100,000

GNP per Capita, 2000 US$

Adu

lt L

itera

cy (2

000)

, per

cent

Male Female

Page 38: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 38

Average Human Capital (Years/Working-Age Person: Selected Economies)

Average Human Capital (Years of Schooling per Working-Age Person)

0

2

4

6

8

10

12

14

1953

1955

1957

1959

1961

1963

1965

1967

1969

1971

1973

1975

1977

1979

1981

1983

1985

1987

1989

1991

1993

1995

Yea

rs p

er W

orki

ng-A

ge P

erso

n

China Hong KongIndonesia S. KoreaMalaysia PhilippinesSingapore TaiwanThailand JapanNon-Asian G5

Page 39: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 39

Indicators of Economic Development Other Than Real GNP per Capita

Accessibility, availability and affordability of services (communication, education, transportation, health care)The degree of equity of the income distribution; the incidence of poverty; the fulfillment of basic needsThe degree of urbanization (the rise of cities as centers of markets and manufacturing; economies of agglomeration but infrastructural and social costs). Industrialization and urbanization are complementary—industrialization (or more broadly the growth of the non-agricultural sector) requires urbanization and urbanization facilitates industrialization.The degree of socio-economic mobility

e.g., inter-generational inter-income class transition probabilitiesThe lack of a one-to-one correspondence between GNP per capita and the level of well-being (e.g., income distribution, freedom of choice (occupation, place of residence), rule of law)

Page 40: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 40

The Distribution of Income andEconomic Development

Simon Kuznets’s U-Shaped HypothesisThe distribution of income worsens before it improves as economic development proceeds (Taiwan was a counter-example)

Competing hypotheses on the distribution of incomeAn initially unequal distribution facilitates economic development and growth through its effect on domestic savings and investment (capitalists save and workers consume)A more equal distribution of income provides the consumer demand base for economic development and growth

The share of income held by the lowest 20% of households by income has a higher lower bound (4%) in developed economies thanin other economiesThe share of income held by the highest 10% of households by income has a lower upper bound (30%) in developed economies thanin other economiesDeveloped economies do not have extremes of income distributions—they are neither too concentrated nor too egalitarian

Page 41: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 41

The Distribution of Income andEconomic Development

Cause and/or effect?A perfectly egalitarian distribution of income is not efficient or Pareto-optimal given differences in endowment (everyone can be made better off)Incentive is necessary to induce and encourage labor efforts, investment and innovationA compromise between efficiency and equity (a positive-sum game)One important issue is the degree of socio-economic mobility—can someone who starts with little or no wealth become successful?

Page 42: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 42

The Distribution of Income and GNP per Capita (1)--Share of the Lowest 20%

The Distribution of Income and GNP per capita, 1995

0.0

2.0

4.0

6.0

8.0

10.0

12.0

10 100 1000 10000 100000

GNP per capita

Shar

e of

the

Low

est 2

0%

Page 43: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 43

The Distribution of Income and GNP per Capita, 2000 (1)--Share of the Lowest 20%

The Distribution of Income and GNP per Capita, 2000

0

2

4

6

8

10

12

14

10 100 1,000 10,000 100,000

GNP per Capita, 2000, US$

Shar

e of

the

Low

est 2

0%

Page 44: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 44

The Distribution of Income and GNP per Capita (2)—Share of the Highest 10%

The Distribution of Income and GNP per capita, 1995

0.0

10.0

20.0

30.0

40.0

50.0

60.0

10 100 1000 10000 100000GNP per capita

Shar

e of

the

High

est 1

0%

Page 45: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 45

The Distribution of Income and GNP per Capita, 2000 (2)—Share of the Highest 10%

The Distribution of Income and GNP per Capita, 2000

0

10

20

30

40

50

60

10 100 1,000 10,000 100,000

GNP per Capita, 2000, US$

Shar

e of

the

Hig

hest

10%

Page 46: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 46

Relationship between Measures of Income Inequality

Relationship between Measures of Income Inequality

0

10

20

30

40

50

60

0 2 4 6 8 10 12 14

Share of Output of Lowest 20 Percent

Shar

e of

Out

put o

f the

Hig

hest

10

Perc

ent

Page 47: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 47

Relationship between Measures of Income Inequality, 2000

Relationship between Measures of Income Inequality, 2000

0.0

10.0

20.0

30.0

40.0

50.0

60.0

0 2 4 6 8 10 12 14

Share of Output of Lowest 20 Percent

Shar

e of

Out

put o

f the

Hig

hest

10

Perc

ent

Page 48: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 48

Poverty and Economic DevelopmentPoverty, defined as an income less than US$1 in PPP prices per day per capita, has virtually disappeared in developed economiesUS$1 in PPP terms for low-income economies translates into perhaps US$0.40 in market exchange rate terms on average, or less than US$150 per capitaNote that the lowest-income countries do not necessarily have the highest incidence of poverty

Page 49: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 49

Poverty and GNP per capitaPercent Population under Poverty and GNP per capita

0.0

20.0

40.0

60.0

80.0

100.0

10 100 1,000 10,000 100,000

GNP per capita

Popu

latio

n un

der

Pove

rty, p

erce

nt

Page 50: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 50

Poverty and GNP per Capita, 2000Percent Population under Poverty and GNP per capita, 2000

0

10

20

30

40

50

60

70

80

10 100 1,000 10,000 100,000

GNP per capita, 2000 US$

Popu

latio

n un

der

Pove

rty,

per

cent

Page 51: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 51

Instruments for Changing the Income Distribution and Alleviating Poverty

Taxes and transfersRequires an administrative apparatus that can be costly and ineffectiveThe inflation tax is possible but is generally considered regressive (inflation benefits borrowers and harms lenders (depositors) andthere are more wealthy than poor individuals among borrowers)

Provision of public goods and services (education, health care, transportation, infrastructure)Universalization of (basic) education rather than redistribution is the key to improving the distribution of income over time

Page 52: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 52

The Degree of UrbanizationUrbanization and GNP per capita

0

10

20

30

40

50

60

70

80

90

100

10.0 100.0 1,000.0 10,000.0 100,000.0GNP per capita

Urba

n Po

pula

tion

as P

erce

nt o

f To

tal (

1995

)

Non-Oil Producers 1995Oil Producers 1995

Page 53: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 53

The Degree of Urbanization, 2000Urbanization and GNP per Capita, 2000

0

10

20

30

40

50

60

70

80

90

100

10 100 1,000 10,000 100,000

GNP per Capita, 2000, US$

Urb

an P

opul

atio

n as

Per

cent

of T

otal

(199

5)

Non-Oil Producers 2000Oil Producers 2000

Page 54: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 54

The Degree of Urbanization and the Share of Industry in GDP, 2000

Urbanization versus Industrialization

0

10

20

30

40

50

60

70

80

90

100

0 10 20 30 40 50 60 70 80 90 100

Industrial Value-Added as Percent of GDP

Perc

ent U

rban

izat

ion

Page 55: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 55

The Degree of Urbanization and the Share of Non-Agriculture in GDP, 2000

Percent Urbanization versus Percent Non-Agriculture, 2002Countries and Regions of the World

0

10

20

30

40

50

60

70

80

90

100

0 10 20 30 40 50 60 70 80 90 100

Non-Agricultural Value-Added as Percent of GDP

Perc

ent U

rban

izat

ion

Page 56: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 56

Characteristics of the Process of Early Economic Development

Modern economic growth dates from early 19th Century—Empirical regularities sometimes referred to as “stylized facts”A rise in the productivity of labor in the agricultural sector enabling a release of surplus output and labor to the industrial sectorA rise in industrialization supported by capital accumulation and the introduction of new technologies and organizations for production

e.g., the transition from cottage industry to factory production; the introduction of mass production and the assembly line

A decline in the share of the agricultural sector and a rise in the share of the industrial sector (including mining) in total output and employmentNatural endowments, and initial conditions, can make a difference.

Page 57: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 57

The Importance of Initial Endowment:Cropland per Capita

GNP per capita, Dollars and Cropland per capita, sq. m., 1995

10

100

1,000

10,000

100,000

0.0 1,000.0 2,000.0 3,000.0 4,000.0 5,000.0 6,000.0 7,000.0 8,000.0Cropland per capita, sq. m.

GNP

per

cap

ita, U

.S. D

olla

rs

Page 58: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 58

The Importance of Initial Endowment:Cropland per Capita, 2000

GNP per Capita, US$ and Cropland per Capita, sq. m., 2000

10

100

1,000

10,000

100,000

0 500 1,000 1,500 2,000 2,500 3,000 3,500 4,000 4,500 5,000

Permanent Cropland per Capita, sq. m., 1999

GN

P pe

r C

apita

, U.S

. Dol

lars

, 200

0

Cropland per Capita

Page 59: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 59

Characteristics of the Process of Early Economic Development

A rise in the savings and investment ratesThere remain significant differences in savings rates across countries that cannot be fully explained—cultural reasons?

A rise in capital intensity, I.e., physical capital stock per unit laborA continuing rise in energy consumption (use) per capitaA rise in the degree of urbanization

Page 60: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 60

Gross Domestic Savings as a Percent of GDP and Real GDP per Capita

Gross Domestic Savings as a Percent of GDP

-40

-20

0

20

40

60

80

0 5000 10000 15000 20000 25000 30000 35000 40000 45000 50000

GDP per capita (1995US$)

Perc

ent

1960 1997

Page 61: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 61

Savings Rates and Real GNP per Capita over Time

Gross Domestic Savings Rates and GNP per Capita, 1980, 1995 and 2000

-60

-40

-20

0

20

40

60

80

10 100 1,000 10,000 100,000

GNP per Capita, US$

Perc

ent

Gross domestic savings rate 1980Gross domestic savings rate 1995Gross domestic savings rate 2000

Page 62: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 62

The Savings Rate and Real Output per Capita: East Asian Economies

National Savings Rate and Real GNP per Capita

10

15

20

25

30

35

40

45

50

55

100 1000 10000 100000

Real GDP per Capita, 1995 US$

Perc

ent

China Hong KongIndonesia JapanKorea, Republic of MalaysiaPhilippines SingaporeThailand

Page 63: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 63

Savings and Investment Ratesand GNP per Capita, 1995

Savings and Investment Rates and GNP per capita

-30

-20

-10

0

10

20

30

40

50

10 100 1,000 10,000 100,000

GNP per capita

Perc

ent

Gross domestic investment rate 1995Gross domestic savings rate 1995

Page 64: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 64

Savings and Investment Ratesand GNP per Capita, 2000

Savings and Investment Rates and GNP per Capita, 2000

-40

-20

0

20

40

60

80

1 10 100 1,000 10,000 100,000

GNP per Capita, US$, 2000

Perc

ent

Gross domestic investment rate 2000Gross domestic savings rate 2000

Page 65: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 65

The Relationship between Investment Rate and Savings Rate, 1995

The Relationship between Investment Rate and Savings Rate, 1995

0

5

10

15

20

25

30

35

40

45

-30 -20 -10 0 10 20 30 40 50

Savings Rate, Percent of GNP

Inve

stm

ent R

ate,

Per

cent

of G

NP

Page 66: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 66

The Relationship between Investment Rate and Savings Rate, 2000

The Relationship between Investment Rate and Savings Rate, 2000

0

5

10

15

20

25

30

35

40

45

-40 -20 0 20 40 60 80

Savings Rate, Percent of GNP, 2000

Inve

stm

ent R

ate,

Per

cent

of G

NP,

200

0

Page 67: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 67

Savings Gap as a Percent of GNPand GNP per Capita, 1995

Savings Gap as Percent of GNP and GNP per capita, 1995

-60.0

-50.0

-40.0

-30.0

-20.0

-10.0

0.0

10.0

20.0

30.0

1 10 100 1,000 10,000 100,000

GNP per capita

Perc

ent o

f GNP

Page 68: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 68

Savings Gap as a Percent of GNPand GNP per Capita, 2000

Savings Gap as Percent of GDP and GNP per Capita, 2000

-90

-70

-50

-30

-10

10

30

50

10 100 1,000 10,000 100,000

GNP per Capita, 2000 US$

Perc

ent o

f GD

P

Page 69: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 69

Predictability of Economic DevelopmentPostwar experience--successes of unlikely countries and failures of apparently promising countries--has led to revision of the theory of economic developmentLatin America and even Africa was significantly ahead of East Asia in the 1950sPhilippines and Sri Lanka were considered in the 1950s as the most likely developing economies to succeedEconomic planning, balanced growth, and import substitution werepopular strategies in the 1950s and 1960sExport orientation turned out to be a successful strategyThe “adversity” theoryChallenges to development economists--What policies can bring about economic development in Africa (and in Philippines)?

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Lawrence J. Lau, Stanford University 70

Is There a “Late-Comer’s” Advantage?An increased stock of knowledge and technology (but complementary investment is required)A larger group of potential investors, suppliers, and customers (an established global investment and trading system)The possibility of leap-frogging; there can be “creation without destruction”; e.g. mobile vs. fixed line telephones; CDs vs. videotapes; debit cards vs. checksLearning from past mistakesHowever, the distribution of benefits from technical progress favors the innovators; e.g. the notebook computer; the camera; OEM manufacturers; appropriation of the benefits of learning-by-doing

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Lawrence J. Lau, Stanford University 71

Savings Rate and the Degree of Income Inequality, 1995 (1)

Savings Rate and the Degree of Income Inequality

-40

-30

-20

-10

0

10

20

30

40

50

60

0 10 20 30 40 50 60

Income Share of the Highest 10 Percent

Savi

ngs

Rat

e

Page 72: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 72

Savings Rate and the Degree of Income Inequality, 2000 (1)

Savings Rate and the Degree of Income Inequality, 2000

-30

-20

-10

0

10

20

30

40

50

60

10 15 20 25 30 35 40 45 50 55 60

Income Share of the Highest 10 Percent

Savi

ngs R

ate

Page 73: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 73

Savings Rate and the Degree of Income Inequality, 1995 (2)

Savings Rate and the Degree of Income Inequality

-40

-30

-20

-10

0

10

20

30

40

50

60

0 2 4 6 8 10 12 14

Income Share of the Lowest 20 Percent

Savi

ngs

Rat

e

Page 74: Economics 216: The Macroeconomics of Developmentljlau/Courses/Econ216/216Lecture1.pdf · itself and along ethnic, class and geographical lines); equality of opportunities (consumption

Lawrence J. Lau, Stanford University 74

Savings Rate and the Degree of Income Inequality, 2000 (2)

Savings Rate and the Degree of Income Inequality, 2000

-30

-20

-10

0

10

20

30

40

50

60

0 2 4 6 8 10 12 14

Income Share of the Lowest 20 Percent

Savi

ngs R

ate