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    Background Paper for the IDB Group MCPS Document for Pakistan

    Poverty, Inequality and Unemployment in Pakistan

    Dr. Ghulam Muhammad ArifJoint Director

    Pakistan Institute of Development Economics

    Islamabad, Pakistan

    and

    Dr. Shujaat Farooq

    Research Fellow

    Pakistan Institute of Development Economics

    Islamabad, Pakistan

    Dul-Qadah 1432H (October 2011)

    This paper is prepared by the authors as a background study forthe IDB Group Member Country Partnership Strategy (MCPS)

    Document for Pakistan. The abridged version of this paper hasbeen included in the MCPS document.

    The views expressed in this paper are those of the authors and

    do not necessarily represent the views of the IslamicDevelopment Bank Group or its Board of Governors or

    Executive Directors or its member countries or the Pakistan

    Institute of Development Economics (PIDE).

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    Contents

    Executive Summary vii

    1. Introduction 1

    2. Data Sources 1

    3. Overview of Poverty and Income Inequality Situation during 2000-2010 2

    3.1 An Overview of Poverty Situation in Pakistan 2

    3.2 Poverty Across the Provinces 4

    3.3 Trends in Inequality 53.4 A Comparison of Poverty and Inequality in Pakistan with Selected

    Asian Countries7

    3.5 Comparison of Inequality 93.6 Status of Achieving Poverty-Related MDG Targets in Pakistan 103.7 Poverty-Inequality Nexus 113.8 Growth-Poverty-Inequality Nexus 12

    4. Government Policies/Initiatives for Reducing Poverty and Inequality 14

    4.1 Government Past Policies 144.2 Diagnostic Analysis of Binding Constraints to Reducing Poverty and

    Inequality16

    4.3 Government Medium-Term Policies and Plans 204.4 Main Challenges/Issues/Risks to Medium-Term Outlook 22

    4.5 Role of Donors in Poverty and Inequality Reduction Efforts 244.6 Policy Recommendations for Fixing Binding Constraints 27

    5. Identification of Focused Areas for MDBs Interventions in Reducing

    Poverty and Inequality over the Medium-term

    29

    5.1 Identification of Vulnerable and Poor Regions 29

    5.2 Identification of Vulnerable and Poor Groups 30

    5.3 Islamic Microfinance for Poverty Reduction 31

    6. Employment Situation in Pakistan 33

    6.1 An Overview of Employment Situation in Pakistan 33

    6.2 Comparison of Unemployment Rate in Pakistan with Selected AsianCountries

    36

    6.3 Status of Achieving Employment Related MDGs 396.4 Growth-Employment-Poverty-Inequality Nexus 41

    7. Government Policies/Initiatives for Increasing Employment 44

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    7.1 Government Past Policies and Programmes 44

    7.2 Diagnostic Analysis of Binding Constraints to ReducingUnemployment

    46

    7.3 Government Medium-Term Policies and Plans Related to

    Employment

    48

    7.4 Main Challenges/Issues//Risks to Medium-Term Outlook RegardingEmployment

    49

    7.5 Role of Donors in Increasing Employment 50

    7.6 Policy Recommendations for Fixing Binding Constraints 52

    8. Identification of Focused Areas for MDBs Interventions in Employment

    Generation Over the Medium-Term

    53

    8.1 Possibilities of Poverty Reduction Through SMEs Development byEmployment Creation

    53

    8.2 Vocational Training 548.3 Islamic Microfinance for Employment Generation 55

    References 57

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    v

    List of Tables

    Table 3.1: Trends in Poverty: Headcount Ratios

    Table 3.2: Poverty Incidence Across Provinces

    Table 3.3: Gini-Coefficient and Consumption Shares by Quintiles

    Table 3.4: Ratio of Highest Quintile to Lowest Quintile

    Table 3.5: Rates of Economic Growth and Inflation in Selected Countries

    Table 3.6: Headcount Poverty Rates in Selected Asian Countries

    Table 3.7: Gini-Coefficient, Inequality in Income or Expenditure in Selected AsianCountries

    Table 3.8: Millennium Development Goal Related to Poverty

    Table 3.9: Gini-Coefficient by Regions and Overall

    Table 4.1: Direct Transfers and Beneficiaries

    Table 4.2: Governance Indicators

    Table 4.3: Infrastructure by Provinces

    Table 4.4: Macroeconomic Targets (PRSP-II)

    Table 4.5: Projected PRSP Budgetary Expenditures

    Table 4.6: Macroeconomic Indicators

    Table 4.7: Proposed PRSP Allocations, MDG Costing Estimates and Resource Gap

    Table 4.8: Cost of War on Terror to Pakistan

    Table 4.9: Committed and Disbursed Foreign Assistance

    Table 4.10: Source and Donor-Wise Disbursements

    Table 4.11: Sector-Wise Disbursements of Project Aid

    Table 4.12: Pakistans External Debt Servicing

    Table 6.1: Labour Force Participation Rates and Unemployment Rates for Adult andYouth

    Table 6.2: Share of Employed Labour Force in Various Sectors

    Table 6.3: Employment-to-Population Ratio Among Adults and Youth in Pakistan

    Table 6.4: Unemployment Rates and Employment-Population Ratio of Selected

    Countries

    Table 6.5: Ranking of Labour Market Efficiency in Selected Countries

    Table 6.6: Demographic Trends and Decent Work Issues in Selected Countries

    Table 6.7: MDG Indicator of Women Share in Non-Agriculture Employment

    Table 6.8: Vulnerable Employment in Adults and Youth

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    Table 6.9: Working Poor Estimates

    Table 6.10: Labour Productivity Per Hour Workedby Sector

    Table 6.11: Growth, Employment, and Poverty in Pakistan

    Table 7.1: Active Borrowers, Active Savers and Active Policy Holders by Peer Group

    Table 7.1: Share of Employment in the Informal Sector of the Economy

    List of Figures

    Figure 3.1: Relationship Between Inequality, Poverty and Growth

    Figure 3.2: Real GDP Growth Rates

    Figure 6.1: Segmentation of Informal Employment

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    Executive Summary

    This study has reviewed the poverty and inequality situation in Pakistan. It has examined the

    employment situation and explored the growth-employment-poverty-inequality nexus. The

    relationship between growth, poverty and inequality is complex in Pakistan. During the high growth

    decades (1960s) and low growth decades (1970s), both poverty and inequality moved in opposite

    direction. The high economic growth during the 1980s contributed to a sharp decline in poverty, but

    accompanied by a mild increase in inequality. The fall in economic growth during the 1990s resulted

    in a rise in poverty while inequality decreased modestly. During the first half of the last decade, the

    economy witnessed a high growth and poverty declined from 34.5 percent in 2000/01 to 22.3 percent

    in 2005/06, while inequality increased sharply. Unemployment rate, despite high growth, did not drop

    sharply. Although, after 2006, no official statistics on poverty is available; however, according to

    unofficial sources, poverty has gone back to the early 2000s level with rising unemployment.

    Poverty in Pakistan is mainly a rural phenomenon. Across the provinces, poverty is highly fluctuated

    in rural Sindh and southern Punjab. Historically, Pakistan has not witnessed a secular decline in

    poverty; it has fluctuated considerably. During 2000-2006, the country witnessed a sharp decline in

    poverty and later, because of both the high inflation and slow economic growth, poverty levels are

    likely to have reversed and could be as high in 2010 as was in 2001. The country was on the track to

    achieve MDG poverty-related targets up to 2006, however, at present, the ground realities reveal that

    it will be unlikely to reduce poverty to 13 percent by 2015.

    The labour force participation rates have witnessed an increase of 2.1 percentage points during the last

    decade (2001-10). The stable unemployment rates during this period suggest that the labour force

    participation grew faster than the new job opportunities. Though the female participation has

    gradually increased; however, it is still very low. Both the youth and female are disadvantageous in

    the labour market with high unemployment rates and access to modest earning opportunities even

    during the high economic growth period (2002-07).

    While comparing with five Asian countries: China, India, Malaysia, Indonesia and Thailand; Pakistanhas relatively high fluctuations in growth and inflation during 2000-10 period. One common

    characteristic among the selected countries and Pakistan is that the poverty is largely a rural

    phenomenon. The five selected countries have witnessed a decline in poverty over the last two

    decades, while in Pakistan; it has been fluctuated since 1990. The other selected countries noticed a

    decline in poverty in both urban and rural areas; whereas in Pakistan, it declined mainly in urban

    areas. Gini-coefficients show that both India and Indonesia witnessed a higher inequality, while it

    declined in other countries (China, Malaysia and Thailand) including Pakistan. The share of bottom 10

    percent population in total income or consumption has improved in China, Malaysia, Pakistan and

    Thailand; whereas it declined for India and Indonesia. Regarding employment, most economies have

    employment-to-population ratios in the range of 55 to 75 percent; however this ratio is comparatively

    low (52 percent) in Pakistan.The Government of Pakistan has initiated Social Action Program during 1990s, which did not bring

    the desired change in social indicators. To counter the rising poverty and unemployment, the

    government launched Poverty Reduction Strategy Paper (PRSP) in 2003 by addressing different

    aspects of poverty: high economic growth; governance; investing in human capital; and bringing the

    poor, vulnerable and backward regions into mainstream of development. PRSP-I (2003-06) remained

    successful by achieving its pro-poor targets, while high inflation, poor economic performance and law

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    and order situation has counter-cycled the positive effects of PRSP-II (2008-12). Though the

    government has some narrowly targeted social safety nets programs; however, the extent of benefits to

    the poor from these targeted programs has not been up to the desired level.

    The binding constraints to achieve high growth with low levels of poverty, inequality and

    unemployment are political instability, poor governance, lower government investment on knowledgeand skills, infrastructural bottlenecks and social and economic exclusion of poor in decision-making.

    One important aspect that has severely affected the development is the role of Pakistan in the War on

    Terror. Though a number of donors are assisting the government to improve the welfare of the poor;

    however, the coverage of these interventions is too limited to meet the challenges. A major proportion

    of foreign assistance is going to overcome the budget and current account deficits, as a result, the

    government is facing rising public debt especially the external debt and debt services.

    To ensure equal distribution of resources, there is a need to include the poor in the development

    stream by providing economic, social and political freedom. Agriculture is the key sector of Pakistans

    economy and there is a need of intervention in the areas of horticulture and livestock to diversify the

    farmers resources. In addition, a special development in terms of physical and social infrastructure is

    required to develop the rural non-farm sector. Rural to urban migration could be a way out of poverty

    toward the self-help. City is an opportunity for the poor. History has shown that poverty is eliminated

    in merchant cities. The ongoing demographic transition in Pakistan should also be viewed for the

    policy purpose as it presents the economy with a demographic gift in the form of a surge in the

    relative size of the working-age population.

    Rather than universally targeted, the narrowly targeted interventions are required especially in the

    rural areas of Pakistan. The households who have no land, headed by females or Zakat recipients are

    among the poorest of the poor households. The southern districts of Punjab and all rural areas of

    Sindh, Baluchistan and KPK are the poorest regions of the country with poor physical infrastructure

    and access to education and health services. Much effort from the government side is required to

    eliminate the issues related to poor governance including corruption, and nepotism. Stable

    macroeconomic system is prerequisite to generate sufficient employment opportunities especially for

    the poor. Supportive physical and social infrastructure is necessary to develop better rural-urban

    linkages and better integration across the regions.

    Micro financing can be helpful in poverty reduction and making the economy self-reliance. There are

    1,613 branches of the credit services to the poor and the active borrowers are around two million.

    However, their outreach is not adequate as out of more than 45 million poor households, only 2

    million have access to it. More importantly, microcredit services generally exclude the poorest of the

    poor because they lack assets necessary to have access to these services.

    Islamic banking can also make a positive contribution in poverty reduction by fulfilling the

    socioeconomic objectives of Islamic society inscribed in the objectives of Shariah. By 2007, six

    licensed Islamic banks and 12 conventional banks with more than 330 branches were operatingcompared with one bank with 10 branches in 2003. However, the Islamic banks in Pakistan are not

    providing microfinance services. Some non-bank Islamic institutions are providing the micro-credit

    services; however, their outreach is very limited in the country. For employment generation in

    Pakistan, it is critical to link Islamic microfinance services with the vocational training institutes by

    providing their graduates these services. It is suggested to form an Islamic Fund to provide micro-

    insurance against unforeseen risks and uncertainties resulting in loss of livelihood.

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    1

    Poverty, Inequality and Unemployment in Pakistan

    1. Introduction

    The concept of inclusive growth demands for widespread expansion of opportunities so that all

    segments of the society can benefit from economic expansion (Osmani, 2008). The idea of

    inclusive growth has been commonly explained through the employment, poverty and inequality

    nexus. Pakistan is an interesting case to study this nexus. As Osmani (2008) has observed, since

    1980 Pakistan has experienced three distinct phases regarding the relationship between growth,

    poverty and inequality. The high economic growth during the 1980s contributed to a sharp

    decline in poverty, but accompanied by a mild increase in inequality. The fall in economic growth

    during the 1990s resulted in a rise in poverty while inequality decreased modestly. The high

    economic growth during the first half of 2000s (2003-06) was different from the earlier episode;inequality increased sharply with rapid decline in poverty. Unemployment rate, despite high

    growth, did not drop sharply.

    By focusing on the last decade (2000-2010), this study has first reviewed the poverty and

    inequality situation in Pakistan, and then it has examined the employment situation to explore the

    growth-employment-poverty-inequality nexus. During this period, the Government of Pakistan

    has developed Poverty Reduction Strategy Paper (PRSP) and the Medium-Term Development

    Framework. In these policy documents, high sustained economic growth is considered necessary

    condition for poverty reduction. However, in view of the possibility that benefits of growth do not

    transfer equally to all segments of the society, the poverty reduction strategy has given

    importance to transfer income programmes including Zakat, microfinance and more recently

    Benazir Income Support Programme (BISP). This study has reviewed these policies in particular

    to see the possible role of Islamic microfinance in employment generation and poverty reduction.

    2. Data Sources

    This is a review study, which has drawn the data related to growth, poverty, inequality and

    employment from secondary sources. For poverty and inequality, the study has primarily relied

    on the estimates based on the income and expenditure household surveys. 1The last such survey,

    known as the Pakistan Socio-economic Living Standard Measurement Survey (PSLM), was

    carried out in 2007/08. However, its poverty related data could not be made public. Thus, the

    latest available data for poverty and inequality is for the 2005-06 period. However, because of

    both the high inflation and slow economic growth since 2008, several sources have attempted to

    estimate poverty for the more recent years 2008 and 2009. Poverty data from these sources have

    1Pakistan has a long history of conducting Household Income Expenditure Surveys (HIES), started in 1963. Thesesurveys were renamed as Pakistan Integrated Household Survey (PIHS) in the mid-1990s. The latest series of suchsurveys is known as the Pakistan Socio-economic Living Standard Measurement Survey (PSLM). However, incomeand expenditure module of all these surveys remained same, thus providing data for consistent poverty series.

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    also been included in the analysis. However, for these recent years data are not available for rural

    and urban areas separately.

    This study has used the poverty estimates based on the official poverty line methodology. It is

    worth noting that in 2003, the Planning Commission announced the official poverty line based on

    the threshold level of 2,350 calories per adult per day plus a minimum expenditure required for

    non-food needs. A number of developing countries follow the consumption and calories intakes

    where the poverty line ranges between 1,970 and 2,350 calories.2

    Poverty estimates based on the official poverty line are available for the 2000-06 period. Recent

    estimates of poverty for 2008 and 2009, as noted earlier, are not strictly comparable with the

    earlier estimates. Data on income distribution is also available only for the 2000-06 period. This

    study has used the Gini-coefficients as the measure of inequality, based on the consumption

    expenditure data.

    Regarding the employment analysis, Labour Force Surveys (LFS) are the main data source,

    available for the 2000-09 period. For employment (unemployment as well), the LFS uses the one-

    week reference concept. Unpaid family helpers are also part of the labour force. For country-wise

    comparison, this report has relied on information as given in the World Development Report,

    UNDP, and SAARC reports. The poverty data in these reports are based on the $1.25 a day

    concept which is altogether different from the official poverty line methodology.

    3. Overview of Poverty and Income Inequality Situation during 2000-2010

    3.1. An Overview of Poverty Situation in Pakistan

    For the situation analysis of poverty and inequality, this study has focused on the 2000-10 period.

    However, the decade of 1990s has also included in the analysis to put the current poverty and

    inequality trends in a longer perspective. Data presented in Table 3.1 show that the 1990s haswitnessed a gradual increase in poverty levels, from 26.8 percent in 1992/93 to 30.6 percent in

    1998-99. This rise in poverty was because of a six percentage points increase in rural poverty

    while urban poverty declined during this period. The rising trends in overall poverty continued

    until 2000/01 period, but this time the increase was both in rural as well as urban areas. In

    addition to fall in economic growth, several factors are responsible for the rise in poverty in the

    1990s including political uncertainty, economic instability, and persistence of wide fiscal and

    current account deficits. The inflows of foreign remittances, which are believed to be one of the

    major factors for reducing poverty during the 1980s, also declined markedly during the 1990s.

    Bad weather conditions and severe droughts lowered the agriculture growth, and led to an

    increase in rural poverty. Urban population was to some extent successful in protecting its well-

    being level during the 1990s.

    Table 3.1 shows a sharp decline in poverty during the first half of the last decade, from 34.5

    percent in 2000/01 to 22.3 percent in 2005/06 - a decline of more than 12 percentage points in

    2 Bangladesh has 2,112 per capita; China 2,150; Indonesia 2,100; Philippine 2,000; Sri Lanka 2,250 per adultequivalent, and Thailand 1,970 (GoP, 2006).

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    only five years3.The percentage of population living below the poverty line in rural areas has

    declined from 39.3 percent in 2000/01 to 27 percent in 2005/06 while the corresponding decline

    in urban areas was from 22.7 percent to 13.1 percent, suggesting that sharp decline in rural areas

    could not narrow the rural-urban gap; rural poverty in 2005/06 was more than double the urban

    poverty.

    Poverty estimates may vary considerably when a different methodology is applied. For instance,

    the data presented in Table 3.1 is based on the official poverty line methodology that uses the

    Consumer Price Index (CPI) for price adjustment. Using CPI for price adjustment, World Bank

    (2006a) shows a smaller decline in poverty from 34.4 percent in 2000/01 to 29.2 percent in

    2004/05 at the national level and from 39.1 percent to 34 percent for rural households. The fall in

    overall poverty levels was only 5 percentage points between 2001 and 2005 according to the

    World Bank estimates.

    One of the main reasons of poverty reduction during 2000-06 was the high economic growth

    recorded by most sectors. In addition to high growth, other factors that are likely to have

    contributed to poverty reduction include the increased public spending especially on education,

    health and infrastructure (rural electrification, roads, and irrigation improvements). Overall pro-

    poor expenditures increased from 3.8 percent of GDP in 2001/02 to 4.8 percent in 2004/05 (GoP,

    2005). The inflow of foreign remittances has mounted over $19 billion during 2001/02 and

    2005/06 period, being an average of 4.1 percent of GDP. The contribution of remittances in

    economic growth and poverty reduction in developing countries including Pakistan is well

    documented (Iqbal and Sattar, 2005; Arif, 2009). The economy also found a large fiscal space

    after 9/11, when much of Pakistans debt was written either off or rescheduled, allowing debt

    repayments to be used on development projects.

    3 It is important to note that the official poverty estimates for 2000/01 period have been revised upward from 32.1

    percent to 34.5 percent, because of some flaws in earlier estimates (GoP, 2006).

    Table 3.1. Pakistan: Trends in Poverty: Headcount Ratios

    Urban Rural Overall

    1992-93 24.6 28.3 26.8

    1996-97 22.6 33.1 29.8

    1998-99 20.9 34.7 30.6

    2000-01 22.7 39.3 34.5

    2004-05 14.9 28.1 23.9

    2005-06 13.1 27.0 22.3

    2007-08 - - 29.9a

    2008-09 - - 33.8b

    2008-09 - - 36.1b

    2008-09 - - 30-35c

    Source: Economic Survey, Government of Pakistan, 2008-09.

    a: Interim Report (October 2008), Economic Stabilization with a Human Face, Panel of Economists

    constituted by the Planning Commission, Government of Pakistan.b: Task Force on Food Security (World Bank) cited in Economic Survey 2008-09 (p.197).c: Independent Estimates cited in Economic Survey 2008-09 (p.197).

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    After 2006, no official statistics on poverty are available. The last HIES or PSLM was carried out

    in 2007/08, but poverty estimates have not been made public. The economy of Pakistan has been

    facing severe challenges since 2007/08 with a declining rate of economic growth, double-digit

    inflation particularly the food inflation, power shortage, soaring oil prices and poor law and order

    situation. The war on terror has also resulted to divert public expenditure from development tosecurity. The present socio-economic situation is likely to have adversely affected the efforts for

    poverty reduction. The government sources consider that poverty is likely to have increased from

    22.3 percent in 2005/06 to 30-35 percent in 2008/09 (GoP, 2008). In 2008, the Planning

    Commissions constituted Panel of Economists has reported in its Interim Report that poverty

    may have increased by 6 percentage points from 23.9 percent in 2004/05 to 29.9 percent in

    2008/09.4Similarly, the Task Force on Food Security (World Bank) estimated that poverty head

    count ratio is likely to have increased from 29.2 percent in 2004/05 to 33.8 percent in 2007/08

    and 36.1 percent in 2008/09 when about 62 million people were below the poverty line (GoP,

    2008).

    In 2008, the Report of a UN Inter Agency Assessment Mission found that food security inPakistan in 2007/08 had significantly worsened because of food price hike. The total number of

    households falling into this category was estimated to be seven million households or about 45

    million people in 2008. Based on the information, poverty level in 2009 appears to be in the range

    of 3035 percent. Poverty estimates for 2010 period are not available, but there is no real change

    in economic situation. Rather the severe flood in 2010 has pushed many non-poor households

    into poverty and numerous poor households are likely to have been pushed into an extreme

    poverty condition. It has disproportionately affected the poorest regions of Pakistan, southern

    Punjab and rural Sindh where deprivation levels are high and the infrastructure is poor. The

    majority of the population in these regions is highly dependent on crop income with less

    diversification in their sources of incomes (Arif et al., 2010). Thus, it is likely that the recent rise

    in poverty, as started in 2008, has continued to 2010.

    Historically Pakistan has not witnessed a secular decline in poverty. Rather, the poverty levels

    have fluctuated considerably. This has also been the case for the last decade when first the

    country witnessed a decline in poverty between 2000 and 2006 period. Later, because of both the

    high inflation and slow economic growth, poverty levels are likely to have reversed and the

    poverty headcount ratio in 2010 could be as high as in 2001.

    3.2. Poverty Across the Provinces

    Although, the Household Income Expenditure Surveys are claimed to be representative at the

    province level, the official agencies have generally avoided the estimation of poverty at the

    province level probably because of political reasons. The poor provinces or regions may demand

    more resources to arrest poverty in their regions. Moreover, explanation of large variations in

    poverty levels across provinces over a short period remains a challenge. The province-level

    poverty estimates from independent sources are available until the 2004/05 period and are

    reported in Table 3.2, which shows that poverty declined in all four provinces between 2000/01

    4Economic Stabilization with a Human Face, October 2008.

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    and 2004/05. However, there is a great deal of variation across the provinces in terms of

    percentage decline. Rural Sindh has shown a huge reduction in poverty, from 48.3 percent in

    2000/01 to 28.9 percent in 2004/05, a decline of about 20 percentage points. This substantial

    decline in poverty in rural Sindh reversed the ranking across provinces. Sindh rural was the

    poorest region in 2000/01, which is turned out to be the least poor region across the country in2004/05. World Bank (2004) attributes the highest volatility for Sindh to the severe drought in

    2000/01 and exceptionally high agriculture growth in 2004/05. However, Anwar (2006) links this

    variation in rural Sindh over a short period with the data problems at the province level. The

    decline in rural poverty in Punjab was marginal, while in other two provinces, KPK and

    Baluchistan, it was quite small. In urban Sindh, poverty declined from 20.7 percent in 2000/01 to

    13.8 percent in 2004/05. Urban poverty also declined in other provinces but the rate of decline

    was lower than the decline in Sindh (Table 3.2).

    It appears from the province level estimates that the national level decline in poverty between the

    2000/01 and 2004/05 period was primarily due to substantial decline in Sindh and Baluchistan

    provinces. It is important to note that the highest and persistent levels of poverty are registered for

    KPK. Based on the official methodology, Cheema (2005) has estimated province-wise poverty

    levels for the 1992/932000/01 period and found the cyclical nature of poverty in Sindh than in

    other provinces. It also suggests vulnerability of rural Sindh population.

    3.3 Trends in Inequality

    Two measures are commonly used to examine levels and trends in inequality: Gini-coefficient

    and income or consumption share by quintiles e.g. the bottom 20 percent. Table 3.3 shows the

    Gini-coefficients and consumption quintiles for the 2000/2006 period based on three nationally

    representative household survey datasets (PIHS, HIES and PSLM). The inequality data after the

    Table 3.2: Poverty Incidence Across the Provinces, 1998/99, 2000/01 and 2004/05

    Province

    Overall Urban areas Rural areas

    1998/99 2000/01 2004/05 1998/99 2000/01 2004/05 1998/99 2000/01 2004/05

    World Bank (2006)

    Punjab 29.8 30.7 29.5 23.7 23.0 21.2 32.2 33.8 33.4

    Sindh 26.2 37.5 22.4 15.3 20.7 13.8 34.5 48.3 28.9

    NWFP 40.8 42.3 39.3 26.1 30.0 26.1 43.3 44.4 41.9

    Baluchistan 22.1 37.2 32.9 25.2 27.4 21.5 21.6 39.3 35.8

    Anwar (2006)

    Punjab 31.6 32.2 29.7 24.2 23.2 20.6 34.6 35.8 33.9

    Sindh 26.0 35.3 22.4 15.6 20.1 14.3 34.0 45.0 28.4

    NWFP 41.3 41.3 38.9 27.1 29.0 26.5 43.7 43.4 41.4

    Baluchistan 21.6 35.5 33.1 22.9 26.2 22.4 21.3 37.5 35.9

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    2005/06 period are not available. The Gini values show an overall increase in consumptioninequality between 2000/01 and 2004/05 while during the next period of 2004/05-2005/06 the

    Gini coefficients did not change. This pattern has been witnessed in urban as well as rural areas.

    The last row of Table 3.3 also reveals a similar trend where the ratio of richest group (quintile 5)

    to the poorest group (quintile 1) shows a rising gap during the 2000/01-2005/06 period. However,

    the gap between the rich and poor increased in urban areas, while it declined in the rural areas.

    Overall, it appears from the inequality information that during the period when poverty declined

    Table 3.3: Pakistan: Gini-Coefficient and Consumption Shares by Quintiles

    PIHS 2000/01 HIES 2004/05 PSLM 2005/06

    Urban Rural Overall Urban Rural Overall Urban Rural Overall

    Gini-coefficient 0.32 0.24 0.28 0.34 0.25 0.30 0.35 0.25 0.30

    Consumption Share by Quintiles

    Quintile 1 5.3 12.8 10.1 4.8 12.6 9.5 4.5 13.5 9.6

    Quintile 2 8.1 16.9 13.7 7.6 17.1 13.2 8.2 16.8 13.1

    Quintile 3 12.1 19.5 16.8 11.6 19.7 16.4 11.1 20.1 16.2

    Quintile 4 19.4 22.4 21.3 18.3 23 21.4 17.8 23 20.8

    Quintile 5 55.1 28.4 38 57.7 27.6 39.4 58.4 26.6 40.3

    Ratio of Highestto Lowest

    10.4 2.22 3.76 12.02 2.19 4.15 12.98 1.97 4.2

    Source: Economic Survey, Government of Pakistan, 2007-08

    Table 3.4: Pakistan: Ratio of Highest Quintile to Lowest Quintile

    Selected Indicators

    PIHS 2000/01 PSLM 2004/05 Overall

    %

    change

    indisparity

    Urban Rural Overall Urban Rural Overall

    1 Literacy (Age 10 & above) 2.08 2.17 2.41 1.69 1.76 1.95 -0.19

    2 Adult Literacy (Age 15 & above) 2.11 2.23 2.52 1.89 1.93 2.22 -0.12

    3 Gross Enrollment Rates

    Primary Level 1.77 1.98 2 1.55 1.52 1.65 -0.17

    Middle Level 2.84 3.47 3.6 2.28 2.91 3.04 -0.16

    Matric Level 3.96 6.36 5.8 2.5 5.33 4.33 -0.25

    4 Net Enrolment Rates

    Primary Level 2.15 2.04 2.25 1.62 1.56 1.73 -0.23

    Middle Level 4.4 3.67 4.57 2.35 3.56 3.27 -0.28

    Matric Level 6 8.5 7.67 2.5 6.67 5 -0.35

    5Immunization (Children 12-23months)

    1.58 1.53 1.76 1.25 1.19 1.25 -0.29

    6 Women using Pre-natal Care 2.36 2.44 2.95 1.87 1.73 2 -0.32

    7 Women Receiving Post-natal care 4 3.75 4.2 3.05 2.18 3.42 -0.19

    Source: Economic Survey, Government of Pakistan, 2007/08

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    overall as well as in rural and urban areas the gap between rich and poor widened. It indicates that

    the benefits of growth during the high growth period (2000-06) were relatively higher for the rich

    than for the poor.

    Inequality has many dimensions i.e. inequality in educational opportunities, inequality in health

    and other amenities of life. Table 3.4 shows a comparative picture on seven social indicators of

    bottom 20 percent population to top 20 percent population at the national as well as regional level

    for the 2000-05 period. Unlike the Gini-coefficient and consumption quintiles, the non-income

    inequality in terms of access to various social services has been improved faster for the poor

    (bottom 20 percent) in urban as well as rural areas during 2000/01 and 2004/05. As shown by the

    last column, the gap between rich and poor has been narrowed appreciable at the national level in

    the net enrollment rate in matriculation level, use of pre-natal care by women and child

    immunization rate. However, overall the Pakistani society is marked by high both income (or

    consumption) inequality and non-income inequality.

    3.4 A Comparison of Poverty and Inequality in Pakistan with Selected Asian Countries

    The past 20 years have seen substantial progress in many aspects of human development in East

    and Southeast Asian countries. There has been progress not only in improving health and

    education indicators and raising income, but also in expanding peoples power to select leaders,

    influence public decisions and sharing knowledge. However, these years have also seen

    increasing inequalityboth within and across countries. Countries with less human development

    tend to have greater inequality in more dimensionsand thus larger losses in human

    development (HDR, 2010).

    For comparison of poverty and inequality, in addition to Pakistan, five Asian countries have been

    selected: China, India, Malaysia, Indonesia and Thailand. To give the comparison a proper

    context, data on GDP growth and inflation are also presented in Table 3.5. All the selected

    Table 3.5: Rates of Economic Growth and Inflation in Selected Asian Countries, 2001-2009

    2001 2002 2003 2004 2005 2006 2007 2008 2009

    Real GDP Growth (%)

    India 5.2 3.8 8.4 8.3 9.3 9.4 9.6 5.1 7.7

    China 8.3 9.1 10 10.1 11.3 12.7 14.2 9.6 9.1

    Indonesia 3.6 4.5 4.8 5 5.7 5.5 6.3 6 4.5

    Malaysia 0.5 5.4 5.8 6.8 5.3 5.8 6.5 4.7 -1.7

    Pakistan 2 2 4.8 7.4 7.7 6.2 5.7 1.6 3.6

    Thailand 2.2 5.3 7.1 6.3 4.6 5.1 4.9 2.5 -2.2

    Inflation (%) (Based on Consumer Price Index)

    India 3.7 4.4 3.8 3.8 4.2 5.8 6.4 8.4 10.9

    China 0.7 -0.8 1.2 3.9 1.8 1.5 4.8 5.9 -0.7

    Indonesia 11.5 11.9 6.6 6.2 10.5 13.1 6.3 10.1 6.4

    Malaysia 1.4 1.8 1.0 1.5 3.0 3.6 2.0 5.4 0.6

    Pakistan 3.1 3.3 2.9 7.4 9.1 7.9 7.6 20.3 13.6

    Thailand 1.6 0.7 1.8 2.8 4.5 4.6 2.2 5.5 -0.8

    Source: World Development Indicator, 2011

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    countries have witnessed a fast economic growth in terms of real GDP during the last decade;

    however, there are relatively larger swings in Pakistan GDP growth than the other countries

    except Thailand. The last four years have been challenging for all the economies across the world

    in terms of global financial crises, and hike in food and oil prices. However, India, China and

    Indonesia have maintained a moderate growth in all recent years. The second important indicatorshows high inflation in Pakistan, India and Indonesia, especially after the mid-2000s. In Pakistan

    inflation hovered at more than 20 percent in 2008/09 and it is still in double digit. The other three

    economies (China, Malaysia and Thailand) have experienced relatively low inflation rates.

    With regard to poverty, a direct comparison of Pakistan with the selected Asian countries (China,

    India, Malaysia, Indonesia and Thailand) is not easy as the official poverty methodologies of all

    these countries are not consistent to each other. The estimates of poverty are highly sensitive to

    the choice of poverty line, its underlying methodology, the threshold level of calorific

    requirements, the determinants of the scale of household, spatial and regional prices or

    consumption patterns. There is no recent statistics available over these countries; however, the

    Economic and Social Survey of Asia and Pacific (ESCAP), 2010 has provided the statistics ofpoverty and inequality for all the selected countries including Pakistan except Malaysia.5 For

    Malaysia, the data from Economic Planning Unit are used. As shown in Table 3.6, all the selected

    five Asian countries (China, India, Malaysia, Indonesia and Thailand) and Pakistan have made

    significant progress in reducing their headcount poverty rates. The median average poverty rates

    in the all six countries declined from 47.5 percent in 1990 to 18.7 percent in the mid-2000s. The

    decline in poverty rate was sharpest in China, Indonesia, Malaysia and Thailand (Table 3.6). The

    official statistics of these countries also have revealed the similar trends of poverty during the

    current decade. For example, both China and India have succeeded to reduce their headcount

    poverty rates in both urban and rural areas since 1980s.6A similar trend can be seen in Malaysia

    where around half of the countrys households were living below the national poverty line up to

    5According to ESCAP, a poor is defined as individuals consuming less than $1.25 (adjusted by PPP) per day.6For China, see National Bureau of Statistics, China, September, 2004. For India, see SAARC Report, 2007/08.

    Table 3.6: Headcount Poverty Rates in Selected Asian Countries, 1990-2005

    Country Period Initial Final

    China (rural) 1990-2005 74.1 26.1

    China (Urban) 1990-2005 23.4 1.7

    India (rural) 1990-2005 55.6 43.8

    India (urban) 1990-2005 47.5 36.2

    Indonesia (rural) 1990-2005 70.5 24.0

    Indonesia (urban) 1990-2005 62 18.7

    Malaysia* 1990-2007 17.1 3.6

    Malaysia (Urban)* 1990-2007 7.5 2.0

    Malaysia (Rural)* 1990-2007 21.8 7.1

    Pakistan 1990-2005 64.7 22.6

    Thailand 1990-2005 17.2 0.4

    Average (median) 47.5 18.7

    Source: UN Economic and Social Survey of Asia and Pacific (ESCAP), 2010*Source: Economic Planning Unit, Malaysia

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    1970. In the following three and a half decades, rapid economic growth and structural changes

    have transformed Malaysia into a prosperous, urban, and industrialized economy. By the end of

    the century, Malaysias poverty rate had fallen below 10 percent and in 2007 to less than 5 per

    cent (UNDP, 2008).7Indonesias poverty fell significantly during 197696. In 1998, the poverty

    incidence shot up due to the 1997 Asian financial crisis. The poverty incidence increased from16.7 percent in 2005 to about 17.8 percent in 2006 due to the surge in rice prices (World Bank,

    2006b). The incidence resumed a downward trend when the rice prices subsidized and the safety

    nets were put in place. In 2008, the poverty incidence was counted as 15.4 percent, which is still

    far from the ambitious target of 8.2 percent set for 2009 in Indonesia's Mid-Term National

    Development Plan 20042009 (Heriawan, 2008).

    One common characteristic among the selected countries and Pakistan is that the poverty is

    largely a rural phenomenon. Urban poverty is almost non-existence in China and Malaysia. For

    India, Indonesia and Pakistan, higher rural poverty persists but relatively with less gap than the

    former twos. However, no uni-directional movement of headcount ratio has been observed in

    Pakistan while comparing it with the other selected countries. The five selected countries havewitnessed a decline in poverty over last two decades, while in Pakistan, poverty based on the

    official line has been fluctuated since 1990. The other selected countries noticed a decline in

    poverty in both urban and rural areas; whereas in Pakistan, it declined mainly in urban areas, the

    rural poverty remained at the high level.

    3.5 Comparison of Inequality

    All selected Asian countries have enjoyed respectable growth during the last quarter century;

    however, inequality remains an issue. Table 3.7 shows the Gini-coefficient and the ratio of the

    consumption or income share of the top 10 percent to the bottom 10 percent of the population

    among the selected six East and South Asian countries. Gini-coefficients show that both India and

    Indonesia witnessed a higher inequality, while it declined in other countries (China, Malaysia andThailand) including Pakistan. There is more reduction in the value of Gini-coefficient in Malaysia

    as compared to the other countries. Across the region, there is higher inequality in rural areas of

    China, while India and Indonesia have more inequality in urban areas. As discussed earlier,

    Pakistan also has more inequality in its urban areas. The ESCAP report (2010) shows that

    inequality rose in both rural and urban areas of China, India and Indonesia.

    The ratio of the bottom 10 percent to top 10 percent also indicates the presence of inequality in all

    the selected countries. Since the household surveys differ in method and type of data collection

    across the countries, the cross-country comparisons should be made with caution. A cross-

    comparison in Table 3.7 shows that during the selected period (initial and final), the share of

    bottom 10 percent population in total income or consumption has improved in China, Malaysia,

    Pakistan and Thailand; whereas it declined for India and Indonesia. In India, the overall

    inequality appears to be static since the mid-1980s; both poverty and inequality declined in urban

    and rural areas during the pre-reform period (1983-94). After the post reform period (1993-2005),

    the country has had a faster growth; however, this faster growth could not be translated into faster

    7UNDP, 2008, Malaysia, Measuring Poverty and Inequality.

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    reduction in poverty, suggesting that the overall distribution has worsened at the lower tail

    (Osmani, 2008). There is rising disparity across the households and regions in terms of

    consumption, income, asset holding as well. The social hierarchy system (Hindu Varna system) is

    the root cause of this social and economic inequality (Hirashima, 2009).

    3.6 Status of Achieving Poverty-Related MDG Targets in Pakistan

    The Government of Pakistan has endorsed the Millennium Development Goals (MDGs) and has

    set the target of halving poverty from its 1990/91 level of 26.1 percent to 13 percent by 2015.

    This commitment of government has been fully reflected in its MTDF (2005-10), PRSP-II (2009-

    10) and Vision 2030. MTDF and PRSP targets have been aligned with the MDGs. The poverty

    related goal has been measured in Pakistan by three indicators: reduction in headcount ratio,

    reduction in the proportion of underweight children of age 5 and reduction in the proportion of

    population below minimum level of dietary energy consumption (Table 3.8).

    Table 3.7: Gini-Coefficient, Inequality in Income or Expenditure in Selected Countries

    Indicators

    China India Indonesia Malaysia Pakistan Thailand

    2001-07 1999-07 2002-07 1997-07 1998-07 2000-07

    Initial PeriodPoorest 10% 1.8 3.9 3.6 1.7 3.7 2.5

    Richest 10% 33.1 27.4 28.5 38.4 28.3 33.8

    Ratio of Richest 18.4a 7b 7.8b 22.1a 7.6b 13.4b

    Gini Index (overall) 44.7 32.5 34.3 49.2 33 43.2

    Final Period

    Poorest 10% 2.4 3.6 3 2.6 3.9 2.6

    Richest 10% 31.4 31.1 32.3 28.5 26.5 33.7

    Ratio of Richest 13.2b 8.6b 10.8 b 11 a 6.7b 13.1b

    Gini Index (overall) 41.5 36.8 39.4 37.9 31.2 42.5

    a. income shares by percentiles of population, ranked by per capita income.b .expenditure shares by percentiles of population, ranked by per capita expenditure.Note:The value of Human Development Index (HDI) have been calculated from life expectancy at birth, meanyears of schooling, expected years of schooling, gross national income (GNI) per capita Source: Human Development Reports, various editions, UNDP.

    Table 3.8 : Pakistan: Millennium Development Goal related to Poverty

    Indicators 1990/91 2005/06

    MTDF

    Target

    2009/10

    MDG

    Target2015

    Current Status

    (2008-09)

    Proportion of population below thecaloric based food plus non-food

    poverty line

    26.1 23.3 21 13Lag (Worsened

    since 2006)

    Prevalence of underweight childrenunder 5 years of age

    40 38 28

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    The country was on the track to achieve MDG poverty related targets up to 2006 when a sharp

    reduction in poverty was witnessed during the 2000-2006 period in both rural and urban areas.

    However, at present, the ground realities and official estimates reveal that it is difficult to achieve

    the goals of PRSP and MTDF by 2010 and MDGs targets by 2015. First, in 1990/91, the base

    year for the MDGs, the incidence of poverty was 26 percent, which, because of low growthepisodes, increased to 34.5 percent in 2000/01. The sharp increase in poverty of about 9

    percentage points occurred between 1996/97 and 2000/01 period. The reduction in poverty by

    more than 11 percentage points between the 2000/01 and 2005/06 period has only offset the

    earlier rise in poverty.

    Second, though no recent poverty numbers are available, as discussed earlier, the economy has

    lost its growth momentum since 2008 and poverty is likely to have increased. Furthermore, the

    most recent catastrophic floods led to huge financial and life losses by affecting about 20 million

    population directly and much larger number of population indirectly.

    The MDG 1 also deals with the prevalence of underweight children and the population below the

    minimum dietary energy consumption levels. Both these indicators are also linked to the overallpoverty situation. Pakistan is also lagging in these indicators (Table 3.8); therefore, it is most

    likely that the MTDF and MDG target for the Goal 1 (reduction in hunger and poverty) will not

    be met. High sustained economic growth is required for achieving the target of reduction in

    poverty, according to the MDG Report 2010 (GoP, 2010).

    3.7 Poverty-Inequality Nexus

    All the East and Southeast Asian economies have succeeded in reducing poverty, but inequality

    remains an issue in all these countries except Malaysia. A similar paradoxical situation is present

    in Pakistan where it is hard to find out a relationship between poverty and inequality. During the

    first half of last decade (2000-2005), both the consumption and income inequality moved in a

    direction opposite to changes in overall poverty inequality increased when poverty declinedduring the 2000-2005 period. Gini-coefficient shows a rise in inequality in both urban and rural

    areas, while the headcount ratio shows a decline in poverty in both urban and rural areas.

    However, the consumption share of top 20 percent and bottom 20 percent population, which

    measure the gap between rich and poor, shows that overall inequality increased primarily due to

    its rise in urban areas while it declined in rural areas. It indicates an uneven growth in

    consumption by quintile. In other words, consumption increased faster for top 20 percent of the

    population (richest) as compared to the growth rate of bottom 20 percent (poorest).

    A similar situation was found during the 1990s, when overall consumption inequality increased

    between 1992/93 and 1998/99(FBS, 2001; World Bank, 2002 and Anwar, 2005). During this

    period, the urban inequality rose while the poverty in urban areas remained almost the same; therural inequality declined while poverty rose in rural areas. Between 1998/99 and 2001/02, the

    inequality has a negative association with poverty as poverty rose in this period in both urban and

    rural areas, while inequality declined in terms of Gini-coefficient and the ratio of top 20 percent

    to bottom 20 percent (Table 3.9).

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    3.8 Growth-Poverty-Inequality Nexus

    The rise in inequality weakens the poverty reduction effect of economic growth. Income

    inequality and poverty affect each other directly and indirectly through their link with economic

    growth.8As shown in Figure 3.1, some of these links can be explored separately, but often ones

    influence causes an indirect effect on the other. For instance, inequality can indirectly influencepoverty as inequality affects growth and growth in turn influences poverty. Small changes in

    income distribution can have a large effect on poverty (Jamal, 2006). The cross-country studies

    have shown that stable inequality within country over time is not sufficient to make a significant

    difference in poverty reduction (Deininger and Squire, 1998). Moreover, greater initial income

    inequality reduces future growth even after controlling for initial levels of GDP and human

    capital (Bridsall, et al. 1995). Thus, low inequality can benefit the poor in two ways: by

    increasing overall growth and average incomes and by letting them more share in that growth

    (Knowles, 2001).

    The relationship between growth, poverty and inequality is complex and multi-dimensional, and

    this complexity holds in Pakistan as well as other developing countries of the region. The recent

    and past trends of growth, poverty and inequality in Pakistan show that the average growth rate

    during the 1960s was 6.8 percent per annum (Figure 3.2); however, both poverty and income

    disparities rose during this period as this growth was mainly due to easy access to foreign aid,

    8Knowledge about the links between non-income inequality and poverty remains very limited. The studies that do existgenerally focus on the effect of non-income inequality on income rather than other dimensions of poverty and suggestthat income inequality also acts as a proxy for asset inequality.

    Table 3.9. Pakistan: Gini-Coefficient by Regions and Overall, 1992/93 - 2005/06

    Year FBS (2001) World Bank (2002) Anwar (2005)

    Overall

    1992-93 0.2680 0.276 0.3937

    1993-94 0.2709 0.276 0.3864

    1998-99 0.3019 0.296 0.4187

    2001-02* 0.2752 - 0.4129

    2005-06* 0.3018 - -

    Rural areas

    1992-93 0.2389 0.252 0.3668

    1993-94 0.2345 0.246 0.3647

    1998-99 0.2521 0.251 0.3796

    2001-02* 0.2367 - 0.3762

    2005-06* 0.2462 - -

    Urban areas

    1992-93 0.3170 0.316 0.39701993-94 0.3070 0.302 0.3685

    1998-99 0.3596 0.353 0.4510

    2001-02* 0.3227 - 0.4615

    2005-06* 0.3490 - -

    *Based on Economic Survey of Pakistan

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    Figure 3.1: Relationship between Inequality, Poverty and Growth

    Source:Naschold (2002).

    exchange rate was kept overvalued and this growth promoted industrial rent-seeking elite only.

    The decade of 1970s witnessed a sharp decline in economic growth, recoded as only 4.8 percent

    per annum; however, urban poverty and inequality declined during this period. Again, the high

    growth performance was observed during the 1980s (6.5 percent on average). Although, growth

    in the agriculture sector remained sluggish (around 3.6 percent), the industrial sector posted a

    healthy average annual growth of more than 8 percent. The services sector also grew strongly in

    the 1980s, led by ownership of dwellings, transportation, storage and communication and

    wholesale and retail trade. The inflow of foreign remittances increased sharply during the 1980s

    (GoP, 2009). Both the rural and urban poverty declined from 30.6 percent in 1980 (25.9 percent

    in urban and 32.5 percent in rural areas) to 22.1 percent in 1988 (18.6 percent in urban and 24.6

    percent in rural areas). However, inequality did not decrease rather it witnessed a mild increase.

    The growth performance of Pakistan during the 1990s was not encouraging; rather it is shown as

    the lost decade. Beside political instability, many other factors contributed in the low economic

    performance, including deteriorating law and order, economic sanctions in the wake of nuclear

    testing, persistent drought conditions, and infrastructure bottlenecks such as inadequate power

    supply with frequent power outages in the industrial areas, and lack of public facilities at optimal

    levels (Haq et al., 2007). The persistence of large fiscal and current account deficits and the

    Inequality

    Poverty Growth

    a b

    c

    6.8

    4.8 6.5

    4.6

    6.2

    3

    0

    2

    4

    6

    8

    1960s 1970s 1980s 1990s 2001-06 2007-10

    Figure 3.2: Pakistan: Real GDP Growth, 1960-2010

    (%, average)

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    associated buildup of public and external debt emerged as the major source of macroeconomic

    imbalances during the 1990s (Din, 2007). As discussed earlier, that both poverty and inequality

    increased during 1990/91 and 1998/99 period, while inequality moved to opposite direction of

    poverty during 1998-2001 when poverty rose and inequality declined.

    During the first six years of 2000s when the Government of Pakistan launched its PRSP

    programme, the growth performance was impressive, about 6.2 percent per annum on average,

    matching the growth of 1980s. Fiscal deficit was reduced and debt ratios witnessed an

    improvement with stable exchange rate and rising foreign reserves. As discussed earlier, the

    poverty declined by 12 percentage points in five years (2000/01 and 2005/06). However, Pakistan

    could not succeed in reducing inequality during the fast growth periods when poverty reduced

    sharply. It suggests that growth may take much longer period to trickle down to the poorest of the

    poor.

    4. Government Policies/Initiatives for Reducing Poverty and Inequality

    4.1 Government Past Policies

    Pakistan has a long history of poverty reduction policies including the Social Action Program of

    the 1990s, which did not bring about the desired change in social indicators. The government

    took a serious view of the rise in poverty during the 1990s, and launched the Interim Poverty

    Reduction Strategy Paper (IPRSP) in November 2001 focusing attention on the primary objective

    of reducing poverty and restoring economic stability. The full PRSP that was launched in

    December 2003 for three years outlined a well-structured strategy for poverty reduction, with four

    pillars addressing different aspects of poverty: high economic growth; governance and

    consolidating devolution; investing in human capital; and bringing the poor, vulnerable and

    backward regions into mainstream of development, and to make marked progress in reducing

    existing inequalities. To ensure the availability of resources, the government was under obligationto protect PRSP expenditures at around 4 percent of the GDP.

    For the revival of economic growth, the PRSP-I (2003-06) identified five major areas, namely,

    agriculture, small and medium enterprises (SMEs), housing and construction, information

    technology and telecommunication and exports. It is well established that poverty is highly

    conditioned by the governance factors. To improve the governance, several steps were initiated in

    the PRSP-I including the devolution of power to the grass roots level and decentralization of

    administrative and financial authority. The PRSP-1 also focused on education, health, nutrition,

    population programs, water supply and sanitation, employment and gender related reforms. To

    transfer income to the poor, several targeted programmes including Zakat, Bait-ul-Mal and

    microcredit were also part of the PRSP-I.The PRSP-I envisages that all these measures will help revive economic growth and will reduce

    poverty in the medium-term. Results point to the right direction. The reforms led to improved

    economic indicators, moving real GDP growth from 3.1 percent in 2001/02 to 9.0 percent in

    2004/05 surpassing PRSP targets for the said years and maintaining a striking average growth rate

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    of 7.0 percent over the four years period (2003/04 2006/07). As reported earlier, poverty

    reduced sharply during the PRSP-I period.

    After the completion of PRSP-I, PRSP-II was launched for the period of 2008-12.The Strategy is

    built upon nine pillars: (i) Macroeconomic Stability and Real Sector Growth; (ii) Protecting the

    Poor and the Vulnerable; (iii) Increasing Productivity and Value Addition in Agriculture; (iv)

    Integrated Energy Development Programme; (v) Making Industry Internationally Competitive;

    (vi) Human Development for the 21stCentury; (vii) Removing Infrastructure Bottlenecks through

    Public Private Partnerships; (viii) Capital and Finance for Development; and (ix) Governance for

    a Just and Fair System.

    Targeting the poor and vulnerable, which has been integral component of both PRSP-I and PRSP-

    II, includes some narrowly targeted interventions of the government to transfer benefits directly

    to the poor. However, the extent of benefits to the poor from targeted programs has always been

    in some doubt. Few programs have been reviewed here. The amounts transferred under these

    programmes and their beneficiaries are given in Table 4.1.

    Benazir I ncome Support Programme (BI SP)

    With a view to cushion the sharp rise in oil and food prices, the BISP was launched in 2008 to

    provide cash assistance to the identified vulnerable and enabling them to exit the vicious cycle of

    poverty in the shape of the cash grant of Rs. 1,000 per month. This strategy also includesimparting training to one member of each vulnerable family to sustain it. This programme has

    aimed to cover almost 15 percent of the total population or 40 percent of the poor (GoP, 2010).

    Punjab Food Support Scheme (PFSS)

    Like BISP, PFSS was initiated by the Government of Punjab in 2008 to provide food stamps for

    the poorest households with a cash grant of Rs. 1,000 per month per household. This programme

    Table 4.1: Pakistan: Direct Transfers and Beneficiaries

    Social Protection2008/09 2009/10

    Expenditures

    (Rs. million)

    Beneficiaries

    (000)

    Expenditures

    (Rs. million)

    Beneficiaries

    (000)

    Budgetary Transfers

    BISP 15,800 1,760 32,000 2,290

    PBM (all Programmes) 3,432 1,159 2,261 2,110

    Punjab Sasti Roti 1,900 - 8,000 -

    Non-Budgetary Transfers

    Zakat (all Programmes) 2,877 1,085 2,874 1,289

    EOBI 5,787 290 6,442 310

    WWF 2,087 63 2,432 70

    Microfinance 28,6691,939,050

    (loans)33,775

    1,966,457(loans)

    Total(excluding microfinance)

    31,880 4,357 54,010 6,070

    Source: PRSP, Annual Progress Report, 2010, Finance Division

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    account and fiscal deficits, the following are the major barriers for sustained growth and poverty

    and inequality reduction.

    4.2.1. Law & Order and Governance

    The rising militancy during the last few years has adversely affected every Pakistani by creatingan overall uncertainly which led to capital flight, lower investment, and decline in FDI. It has also

    limited the government capacity to spend on pro-poor expenditures due to a massive spending on

    anti-terrorism campaign during the last four years. The institutional dimensions of governance

    uncover a negative and significant association between rule of law and poverty (Haq et al., 2007).

    At present, the state of governance in Pakistan is a serious impediment in the way of growth and

    poverty reduction efforts. Global Competitiveness Index (GCI) is a comprehensive measure of a

    nations competitiveness based on 12 indicators: Pakistans overall ranking deteriorated in last

    few years; it was 91 out of 125 countries in 2004/05 and it went up to 123 out of 139 countries in

    2010/11. As shown in Table 4.2, the problematic factors for doing business in Pakistan are

    corruption, government instability/coups, policy instability, inflation, inefficient government

    bureaucracy, and crime and theft. However, Pakistan has significantly improved in judicialindependence. Corruption has been adversely influencing the economic activities and resource

    management. The latest transparency survey (2009) assigns Pakistan a score of 2.4 out of 10 and

    ranks it 139thout of 180 countries.

    4.2.2. Education, Technology and Health

    At the macro level, the share of high technology intensity product in Pakistan is small. As per

    Global Competitiveness Report 2010/11, Pakistan ranks 76 th on the innovation index out of 139

    countries, reflecting a poor level of innovation. Pakistan is hardly spending its 2 percent of GDP

    on education (World Economic Forum, 2010).

    At the micro level, the incidences of poverty are highly linked with the literacy and educational

    attainment of household heads. In the Pakistan Poverty Assessment (PPA), education was found

    to be the most significant factor distinguishing the poor from the non-poor. These educational

    differences also explain the poverty gaps between the rural and urban areas, consistent with the

    idea that literacy is likely to have higher returns in urban areas (Jafri, 1999 and World Bank

    Table 4.2: Pakistan: Governance Indicators, 2010

    Indicators Index

    Judicial independence 74/139

    Irregular payments and bribes 117/139

    Property rights 107/139

    Favoritism in decisions of government officials 87/139

    Business cost of terrorism 138/139

    Organized crime 127/139

    Source: Global Competitiveness Report: 2010-11

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    2002). Education and skill levels are directly related to employment. The poor usually have low

    levels of skill and can only find employment in low-paid jobs.

    Health has commonly been related to the incidences of poverty and change in poverty status

    (Hussain, 2003). Unfortunately, the Government of Pakistan has not been successful in allocating

    sufficient resources for the health sector, as it is stagnant on only 0.6 percent of GDP. Most of the

    poor households suffer from ill health and are forced to bear the high cost of medical treatment.

    Illness is often a catalyst in pushing households deeper into poverty and, thus, ill health and

    poverty are linked in a vicious cycle.

    4.2.3. Landlessness, Farm Assets and Tenure Patterns

    The ownership of land is highly unequal in Pakistan, which is one of the major barriers to poverty

    and inequality reduction in rural areas. Less than half of all rural households own any agricultural

    land, while the top 2.5 percent of households account for over 40 percent of all land owned

    (Gazdar 2004; World Bank 2002). Within the rural areas, Malik (2005) found relatively higher

    land inequality in poor districts located in the cotton-wheat belts of southern Punjab and Sindh.

    Land is often sold to cover urgent consumption needs, marriage expenditure, and health

    expenditure. This depletion of productive assets has an adverse impact on the poor in terms of

    their future stream of income, and reduces their probability of escaping poverty (Hussain, 2003).

    Gazdar (2004) also observed the unequal distribution of farm asset ownership (other than of land)

    among cultivating households. Even though the incidence of sharecropping has declined over

    time, there are still many rural households that cultivate land as share-tenants and poverty is

    higher among them (Anwar, et. al. 2005; SPDC 2004; and World Bank, 2002).

    4.2.4. Power Structures in Rural Areas

    The civil and military bureaucracy, political and religious forces, landed rural elites, and caste,

    biraderi (clan), and ethnicity are among the most important pillars of the prevailing powerstructure in Pakistan (Hooper and Hamid, 2003). The highest and persistent levels of poverty

    occur in those rural areas of Pakistan which are traditionally considered feudal, such as rural

    Sindh, southern Punjab, and the tribal areas of Khyber Pakthunkhawa (KPK) and Balochistan. In

    rural areas, landed elites have a decisive influence not only on the social and economic life of

    residents, but also on local, as well as central and provincial decision-making power. Size of

    landholding is regarded as directly proportionate to power, and the landed elites in Pakistan enjoy

    more power than its Indian counterpart. The dependency of the poor on local power structures

    takes a variety of forms. Distortions in the input and output markets functioning against the poor

    tend to generate poverty in rural areas (Hussain, 2003). Tenants as well as small farmers who

    cultivate their own land, generally have to pay relatively high prices for inputs while receiving

    relatively low prices for outputs as compared to large farmers. At the same time, the lack of

    access to formal credit markets often forces poor tenants to borrow from their landlord. This

    generates a form of bonded labor and tenants are sometime obliged to work on their landlords

    farm at less than market wage rates or even without wages (Arif, 2004; and Hussain, 2003).

    Landlords may also exert control over watercourses, which influences their relationship with their

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    tenants because it provides the former with absolute control over cultivation (Hooper and Hamid,

    2003).

    4.2.5. Doing Business in Pakistan

    The World Bank report of Doing Business 2011 shows that doing business in Pakistan is quitedifficult, the rank of Pakistan for ease of doing business is 83 out of 183 (World Bank, 2011).9

    The cost of starting business is significantly above those observed in South East and East Asian

    countries with a rank of 85thout of 183 countries. Similarly, in case of Enforcing Contract cost

    is also very high in Pakistan. It also ranked lower in terms of registering property in 2011. Getting

    credit has also become more difficult in Pakistan; if the government does not introduce reforms

    particularly in employing worker, paying taxes, and enforcing contract, thenit would not

    attract investment, which is necessary for high growth and poverty reduction.

    4.2.6. Poor Infrastructure

    Qayyum et al. (2007) consider that quality of infrastructure in Pakistan is not a binding constraint

    as indicated by Global Competitiveness report 2006/07 that is 3.4 and is equivalent to that ofChina (a high growth performer), and is better than that of Indonesia and India.10However, the

    recent Pakistan score declined to 2.8 as compared to India with 3.5, Indonesia with 3.6 and China

    with 4.4.

    4.2.7. Regional Inequality in Public Provision and Infrastructure

    Public provision of social services plays important role in the capabilities development and leads

    to decline in income poverty. Similarly, social overhead capital is a necessary input in the

    structure of production and poverty reduction (Hirschman, 1958). If inequality between provinces

    and districts rises above a certain threshold, it can trigger a violent conflict which, in turn, can

    lead to decades of reduced growth and rising poverty (World Bank, 2006c).

    As shown in Table 4.3, there is higher inequality across the provinces in terms of physical and

    social infrastructure. The Punjab province has better ranking, while the two provinces, KPK and

    Baluchistan are poor by all infrastructure indicators. Even within Punjab and Sindh, the rural

    9There are 183 countries included in Doing Business Report (2011), and if best rank in doing business is one and worstrank is 183th. So 83thshows that Pakistan lies in the middle of the world in doing business.10General Infrastructure (1= underdeveloped, 7=as extensive and efficient as the worlds best) Score for other countries:

    Indonesia (2.5), India (3.3), China (3.4), Thailand (5.0), Korea (5.1), Taiwan (5.4), Malaysia (5.7), and Hong Kong(6.4).

    Table 4.3: Pakistan: Infrastructure by Provinces

    Province

    Physical Infrastructure Soft Infrastructure

    Distance to

    Metal road

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    Sindh and southern Punjab have poor level of access to physical and social infrastructure as

    compared to the northern and central Punjab. These infrastructural differences across the regions

    explain the poverty and inequality differences as the regions with poor level of infrastructure have

    comparatively less social and economic integration in terms of diversified resources, human

    capital, and access to jobs in armed forces (Arif et al., 2011). The recent flood has also affectedthe poorest regions of Pakistan, southern Punjab and rural Sindh and has pushed many non-poor

    households into poor category and many poor stuck into long-term poverty (Arif et al., 2010).

    4.2.8. Limitations in Social Protection and Social Safety Net Programmes

    The Government of Pakistan has been allocating a fair amount for social safety net programmes.

    All these programmes directly intervene to transfer resources to the marginalized segment of the

    society so that they can stand on their own two feet and become economically self-sufficient.

    However, the efficient utilization of these funds by targeting the poor and vulnerable is a debated

    topic in Pakistan. Moreover, the transfer programmes are not sufficient to meet the demand of the

    poor.

    4.3. Government Medium-Term Policies and Plans

    The Medium-Term Development Framework (2005-10) and PRSP-II (+2008-11) have given the

    medium-term policies and plans in the light of long-term development framework of Vision 2030.

    Both the MTDF and PRSP advance the agenda for pro-poor economic growth by allocating

    adequate resources for sustainable human development where the targets have been aligned in the

    line of MDGs. To fulfill this commitment, the government has settled the issue of distribution of

    resources among the provinces by freeing the resources toward provinces in 2010. It will enable

    the provinces to meet their obligations by raising spending on both social and economic sectors

    and creating opportunities for the deprived and vulnerable peoples.

    A summary of the macroeconomic targets is given in Table 4.4. The economy is projected to

    grow between 7.2 percent and 7.5 percent by 2010/11, supported by strong growth in agriculture,

    Table 4.4: Pakistan: Macroeconomic Indicators/ Targets (PRSP-II)

    Macroeconomic Indicators (Base case Scenario)

    Items 2005/06 2006/07 2007/08 2008/09 2009/10 2010/11

    Real GDP Growth (%) 6.6 7 7.2 7.1 7.3 7.5

    Agriculture 2.5 4.5 4.4 4.5 4.3 4.4

    Manufacturing 8.6 10.5 11.2 11.8 11.7 12.1

    Inflation (CPI based) 7.9 6.5 5.5 5 5 5

    Investment (% of GDP) 20 20.5 21 21.7 22.2 22.8

    National Saving (% of GDP) 15.6 16.1 17 17.9 18.6 19.4

    Trend in Public Finance

    Fiscal Deficit (Rs. billion) -45.6 36.5 80 140.5 209.4 -

    Public Debt ( % of GDP) 56 50.6 46.4 43.3 40.1 -

    Trend in Balance of Payments

    Worker Remittances (S million) 4,600 5,500 6,200 6,400 6,700 6,950

    Current Account ( % of GDP) -4.4 -4.4 -4 -3.8 -3.6 -3.4

    External Debt ( % of GDP 28.9 27 25.5 24.3 23.1 21.9

    Export Growth (%) 13.8 10 12 13 14 15

    Import Growth (%) 31.4 11 10 10.5 11 11

    Source: Poverty Reduction Strategy Paper-II, 2008-12

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    manufacturing and services sectors. In order to achieve these growth targets, the overall projected

    investment is 21 percent to 22.8 percent of the GDP. National saving is targeted as 17 percent to

    19.4 percent of GDP for the same period and current account deficit is in the range of 3.4 percent

    to 4 percent of GDP. Fiscal development is considered the key element of obtaining the stability.

    The overall budget deficit is targeted to be reduced from current level of 4.2 percent of GDP to3.3 percent of GDP by 2010/11. On the external side, the projected trade gap is in the range of $9-

    11 billion and current account deficit in the range of $ 6-7 billion.

    The PRSP has a rolling strategy, which identifies the required resources in according to national

    objectives and in the context of fast changing global economic developments. Table 4.5 shows

    the projected government expenditure on 17 budgetary pro-poor sectors under 5 broad headings

    for 2010/11 2012/13 period. According to the Fiscal Responsibility and Debt Limitation Act

    (FRDLA), 2005, the social and poverty related expenditures are not to be reduced below 4.5

    Table 4.5: Pakistan: Projected PRSP Budgetary Expenditures (2010/11 - 2012/13)

    2010/11

    2011/12

    2012/13

    Expenditure Rs million % of GDP Rs million % of GDP Rs million % of GDPDevelopment 347,649 2.20 436,049 2.46 554,165 2.78

    Current 701,039 4.43 859,482 4.85 1,060,813 5.33

    Total 1,048,688 6.62 1,295,531 7.31 1,614,978 8.12

    Market Access and Community Services

    Roads, Highways &Bridges

    75,426 0.48 97,003 0.55 125,341 0.63

    Water Supply &Sanitation

    13,407 0.08 16,492 0.09 20,384 0.10

    Human Development

    Education 348,782 2.20 471,338 2.66 639,956 3.22

    Health 88,244 0.56 126,563 0.71 182,378 0.92

    Population Planning 5,087 0.03 5,746 0.03 6,521 0.03

    Rural Development

    Agriculture 132,360 0.84 161,343 0.91 197,599 0.99Land Reclamation 3,869 0.02 4,759 0.03 5,882 0.03

    Rural Development 13,356 0.08 15,982 0.09 19,215 0.10

    Rural Electrification(People Works

    19,096 0.12 22,423 0.13 26,4540.13

    Safety Nets

    Subsidies 178,343 1.13 178,343 1.01 178,343 0.90

    Social Security &Welfare

    93,197 0.59 104,225 0.59 117,106 0.59

    Benazir IncomeSupport Programme

    59,654 0.38 66,713 0.38 74,9570.38

    Others* 33,542 0.21 37,512 0.21 42,148 0.21

    Governance

    Administration of

    Justice7,930 0.05 9,312 0.05 10,986 0.06

    Law & Order (Current& Development)

    41,116 0.26 39,084 0.22 37,327 0.19

    Total PRSP 1,048,688 6.62 1,295,531 7.31 1,614,978 8.12

    *This includes (i) Labour Welfare Measures; (ii) Social Welfare Measures; (iii) Welfare of Pakistanis Abroad;(iv) Population Welfare Measures; (v) Others (Distribution of Winter clothes); (vi) BISP; (vii) PPAF; and (viii)Pakistan Bait-ul-Mal (other than Food Support).

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    and current account deficit are also rising. Another misfortune is the stagnant development

    expenditures which, on average, are low (3.5 percent of GDP) during the current decade

    compared to the 1980s and 1990s. After launching the MTDF and PRSP-II, the proportion of

    development expenditure, by and large, declined, meanwhile the current expenditure rose.

    The UNDP and Ministry of Finance have prepared a joint report for the Millennium

    Development Goals (MDGs) Costing in (2007)11for three social sectors education, health

    and water and sanitation to achieve the MDGs.12 The gaps for each activity have been

    reported for the entire country. As shown in Table 4.7, the allocation of resources under

    PRSP is not sufficient to meet the MDG targets. The government is already facing the

    financial constraints as the PRSP data show that relatively fewer amounts have been spent

    than the projected.

    The government is facing severe issues of revenue generation and is highly dependent on

    borrowing from the central bank and from external resources including the IMF. The intense

    borrowing from the central bank may force a reversal in current tight monetary policy stance

    of the central bank with adverse implications for inflation, particularly the food inflation,

    which has eroded the purchasing power of poor. Similarly, the government has to remove a

    number of subsidies under the IMF Standby Agreement (SBA) at the wrong time.

    The external financial flows also exhibit instability by worsening the trade balances due to

    weak export base with higher imports. Pakistan's exports are dominated by textiles and

    clothing and the rising input costs in recent years has eroded Pakistan's competitiveness.

    Global competitive pressure is posing major challenges for developing countries, for which

    our main exporting sectors such as textiles and clothing are not fully prepared. The rising

    international oil prices have also threatened the balance of payments position with

    depreciation in exchange rate. A comprehensive approach is required to improve export

    competitiveness.

    One important aspect that has severely affected the development is the role of Pakistan in the

    Waron Terror. It has sustained immense socio-economic costs by diverting resources from

    11Estimating the Cost to achieve MDGs in Pakistan UNDP & Finance Division, Islamabad (2007).12The initial costing parameters were determined through a consultative process during December 2005 to August2006. However, assumptions, including the financial prices, made over two years remain valid. Expenditure incurred in2007/08 has been updated with current GDP at market cost as a result of which future projections have been readjusted.

    Table 4.7: Pakistan: Proposed PRSP Allocations, MDG Costing Estimates and Resource Gap

    (2009-11)

    SectorPRSP Allocations

    (Rs million)

    MDG Costing Estimates

    (Rs million)

    Resource Gap

    (Rs million)

    Education 804,950 880,261 -75,311

    Health 194,295 305,759 -111,464

    Water supply &sanitation 33,484 172,268 -138,784

    Total 1,032,729 1,358,288 -325,559

    Source: Estimating the Cost to achieve MDGs in Pakistan, UNDP & Finance Division, Islamabad (2007)& PRSP Secretariat, Finance Division, Government of Pakistan.

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    public development to law enforcement. Besides massive human losses resettlement

    suffering; it has contributed to capital flight, and limited the FDI and other investment

    opportunities particularly in FATA and KPK. The estimated cost of the War on Terror to

    Pakistan was around Rs. 678 billion in 2008/09 which has led to massive unemployment

    especially in the affected regions (Table 4.8).

    4.5. Role of Donors in Poverty and Inequality Reduction Efforts

    As discussed earlier, Pakistan has witnessed healthy economic growth during the periods when

    foreign inflows were higher i.e. 1960s, 1980s and during the first decade of current century.

    During the last 6 years, Pakistan has faced two biggest disasters of the world in terms of the

    population affected, areas, human losses and infrastructure losses: earthquake in 2005 and floods

    in July-August 2010. In both the disasters, the foreign donors including international community,

    international institutions and NGOs actively participated in affected areas by financially and

    materially. With the assistance of local community and government, these donors developed

    several clusters in various fields i.e. agriculture under FAO, camp coordination/management,

    protection, emergency shelter under UNHCR, community restoration under UNDP, educationunder UNICEF/Save the children, health under WHO, food, information management, logistic

    under WFP and nutrition water, sanitation and hygienic under UNICEF. Some donors

    participated only in the emergency relief; however, several are still performing to restore the

    livelihood of these poor including: on-farm livelihoods, shelter, community restoration,

    education, health, restoration of infrastructure and public utilities.

    According to the Constitution of Pakistan, the government is responsible to improve the standard

    of living of its people. However, the magnitude of available resources is too limited to achieve the

    national and MDG targets. At present, the government is catching the foreign assistance to

    overcome the saving-investment gap, balance of payment constraints and to overcome the

    structural weakness of the economy i.e. poor skills, shortage of capital, power crisis and poverty

    (GoP, 2009).

    As detailed in Section 3, the government of Pakistan has launched a comprehensive strategy, the

    PRSP and MTDF to reduce poverty and inequality by targeting the poor especially in rural areas.

    The central voyage of PRSP is based on investing on those activities and programs, which

    directly and indirectly benefit the poor population. Therefore, a number of donors including

    World Bank, Asian Development Bank, Department for International Development (DFID),

    Table 4.8: Cost of War on Terror to Pakistan (Rs. billion)

    2004/05 2005/06 2006/07 2007/08 2008/09

    Direct Cost 67.1 78.1 82.5 108.5 114.0

    Indirect Cost* 192.0 222.7 278.4 375.8 563.8

    Total 259.1 300.8 360.9 484.4 677.8

    * On account of loss of exports, foreign investment, privatization, industrial output, tax collection, etc.Source: Finance Division, Government of Pakistan, September, 2008.

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    INGAD, UNDP, UNFPA, ILO, UNICEF, WHO, JICA, CIDA, USAID, EU, GTZ, NORAD are

    actively the part of PRSP in policy designing, implementation, and evaluation (GoP, 2003).

    Several donors are chairing and co-chairing various sectors to improve the welfare of the poor i.e.

    Water and Sanitation Sector Donor Coordination Group (WSDCG) co-chaired by DFID and

    UNICEF.

    As shown in Table 4.9, the commitments of foreign economic assistance (excluding Bonds and

    IMF) amounted to $39,786 million from 1999-00 to 2009-10. Grants were 21 percent and loans

    were 79 percent of the total commitments. Over this period, the bilateral commitments consituted

    about 38 percent of the total commitments with the highest commitments were from USA, China,

    Japan, Saudi Arabia and UK, while the rest 62 percent were multilateral commitments with

    highest commitments were from AsDB, World Bank and, and the Islamic Development Bank

    (IDB). The non-project aid commitment was about $20,812 million, which mainly has been

    stretched from IDB, IDPs and Tokyo Pledges for Afghan Refugees Relief Assistance,

    Commodity Aid, Food Aid, Programme Loans/Budgetary Support, and Short-Term Credits. The

    rest project aid includes commitments for the Earthquake Rehabilitation & Reconstruction. Thedisbursements of foreign economic assistance, excluding Bonds and IMF, amounted to $31,368

    million with 20 percent share of grants and 80 percent share of loans during the corresponding

    period (GoP, 2009a).

    4.5.1. Donor-Wise Disbursements

    Table 4.10 shows that during the last two years, July 2008 to June 2010 period, the total disbursedamount from multilateral sources was higher than the bilateral sources with 70 percent share of

    multilateral and 30 percent share of bilateral sources, respectively. Out of the total bilateral

    amount, 43.7 were grants and the rest 53.6 percent were loans. In the bilateral group, major

    disbursements were from China ($782.1 million), USA ($614 million), Saudi Arabia ($479.2

    million), UK ($286 million) and Japan ($214.5 million). Multilateral agencies disbursing over

    $100 million were ADB, IDA, World Bank and IDB.

    Table 4.9. Pakistan: Committed and Disbursed Foreign Assistance ($ million)

    Commitments of Foreign Assistance Disbursement of Foreign Aid

    Year Grant Loan Total Grant Loan Total

    1999-00 371.8 1,008.5 1,380.3 292 1,458 1,750

    2000-01 247.7 1,388.7 1,636.4 203 1,882 2,085

    2001-02 922.3 2,677.7 3,599.9 1,002 1,753 2,755

    2002-03 441.3 1,352.6 1,794.0 401 1,520 1,921

    2003-04 405 2,070.0 2,475.0 335 1,046 1,381

    2004-05 945.7 2,282.2 3,227.9 506 2,216 2,722

    2005-06 1,426.7 3,079.8 4,506.5 1,068 2,291 3,359

    2006-07 635.3 3,648.4 4,283.7 681 2,700 3,381

    2007-08 576.1 3,174.9 3,751.0 574 3,085 3,659

    2008-09 609.9 5,778.3 6,388.1 575 4,113 4,688

    2009-10 1,606.4 5,137.0 6,743.5 648 3,019 3,667

    Total 8,188.2 31,598.0 39,786.3 6,285 25,083 31,368

    Source: EAD, Year Book (2009)

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    4.5.2. Sector-Wise Disbursements of Project aid

    During the past two years, the sectoral-wise project aid shows that an amount of $2,056 million

    was disbursed in 15 different sectors with grants amounting to $465.3 million and loans

    amounting to $1,591 million (Table 4.11). Sectors claiming more than $50 million were power,

    Table 4.11. Pakistan: SectorWise Disbursements of Project Aid during 2008-10 ($ million)

    Sector Grant Loan Total

    Power 3.3 498.37 501.57

    Transport & Communication 26.7 524.97 551.57

    Rural Development & Poverty Reduction 21.31 159.38 180.69

    Governance, Research & Statistics 127.93 91.01 218.94

    Health & Nutrition 42.06 69.39 111.45

    Water 52.69 83.19