Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Case study overview: Zambia Elena Ianchovichina PRMED, World Bank Joint Vienna Institute June, 2009 Step 1: Overall dynamics Higher and less volatile growth rates 20 500 450 15 350 5 300 % 10 250 0 200 -5 150 LCU thousands 400 100 -10 50 GDP per capita growth (annual %) 2006 2004 2002 2000 1998 1996 1994 1992 1990 1988 1986 1984 1982 1980 1978 1976 1974 1972 1970 1968 1966 1964 0 1962 -15 GDP growth (annual %) GDP per capita (constant LCU) 3 7000 140 1.20 700.0 6000 120 1.00 600.0 5000 500.0 4000 400.0 3000 300.0 2000 200.0 1000 100.0 Number of exports 800.0 100 0.80 80 0.60 60 0.40 40 20 0.20 0 0.00 1980 0.0 Production (mt'000) LHS International price (constant 1990 USD mt) RHS 2005 2000 1995 1990 1985 1980 1975 1970 1965 0 1985 1990 1995 2000 2004 No. of products exported (> 10,000 US$) Herfindahl Index Five largest (share of merchandise exports) Index/shares Development driven by discrete events or potentially sustainable growth? Loans to the private sector 1,600,000 Agriculture, forestry,Fishing and hunting Mining and quarying 1,400,000 Manufacturing 1,200,000 1,000,000 Electricity, gas, water and energy Construction 800,000 Wholesale and retail trade Restaurants and hotels 600,000 Transport, storage and communications Financial services 400,000 Community, social and personal services Real estate 200,000 Jun-07 Dec-06 Jun-06 Dec-05 Jun-05 Dec-04 Jun-04 Dec-03 Jun-03 Dec-02 Jun-02 Dec-01 Jun-01 Dec-00 Jun-00 Dec-99 Jun-99 Dec-98 0 Other sectors 100 310 90 290 80 270 70 250 60 230 50 210 40 190 30 170 20 150 06 05 04 03 02 01 00 99 98 97 96 95 94 93 92 91 National Headcount (LHS) National Rural (LHS) National Urban (LHS) Poverty headcount at 1US$ a day GDP Per Capita (RHS) GDP Per capita (1994 Kwacha) Poverty Head Count (%) Rural poverty reduction not responsive to growth Step 2: The profile of the economic actors What were the sources of income for the rural poor in Zambia? Most rural poor were smallholder subsistence farmers Table 1: Mean Shares of Household Income by Source, by Income Quintile, Rural Areas All Food crop sales Nonfood crop sales Non-farm business Livestock and other ag. Income Salary Remittances Pension Nonagricultural rent Other income Consumption of own production 6 2 10 2 6 6 0 0 11 55 Quintile of National Distribution Poorest 2 3 4 Richest 20% 20% 7 6 6 6 5 1 2 3 2 2 11 10 10 13 11 2 2 3 2 3 3 5 6 7 11 7 6 6 7 5 0 0 0 0 0 0 0 0 0 0 13 12 12 11 9 57 55 54 55 52 Source: World Bank (2007a) What were the sources of income for the urban poor in Zambia? Most urban poor were employed in informal businesses and relied on multiple activities as a source of income Table 3. Mean Shares of Household Income by Source, by Quintile, Urban Areas All Non-farm business Salary Remittances Other income Consumption of own production Source: 2002-03 LCMS 24 50 6 15 5 100 Quintile of National Distribution Poorest 20% 2 3 4 Richest 20% 25 38 8 20 9 100 27 40 6 19 7 100 27 46 5 16 7 100 26 50 6 14 4 100 19 60 5 13 3 100 Substantial productivity differentials Labor productivity in agriculture much lower than labor productivity in other sectors Paths out of poverty: mainly through new employment opportunities in lowcost urban areas, or higher returns in other urban areas Value added per worker in Zambia 3000 LCU in thousands 2500 23% 2000 Agriculture 1500 Industry 1000 Services 7% 500 70% 0 2000 2001 2002 Total 2003 Agriculture Industry 2004 2005 2006 Services Source: Authors’ estimates based on data from Government of Zambia and World Bank. Any reasons to focus on agriculture? Even a sizable increase in employment in urban industries will result in relatively few urban jobs Evidence that there is potential for productivity improvement in agriculture Figure 1: Distribution of employed by industrial sector in the rural and urban areas (2004) 2500000 2000000 1500000 Rural Urban 1000000 500000 0 Agric. Mining Manuf. Elect. Constr. Trade Hotels Source: CSO (forthcoming) Transp. Finance Commun. The booming mining sector: implications for employment The capital intensive nature implies that few new jobs are created Adverse REER effects on the competitiveness and job opportunities of the tradable sectors Look for constraints to inclusive growth Consider agriculture as well as non-agriculture activities Self as well as wage employment Step 3: Going through the tree Economic Growth Income increases through productive employment Self-employed Poverty Reduction/ Inclusion Wage-employed Business Environment Analysis (BEA) Employability Analysis (EA) EA: Individual constraints viewed from the perspective of different economic actors BEA: Firm constraints viewed from the perspective of different economic actors Is education a major constraint for the poor as individuals? Major difference in mean years of education between the rich and poor households in urban areas, and limited access to higher education in rural areas Percentage of households with access to education facilities within five kilometers 100 90 80 70 60 50 40 30 20 10 0 Rural Urban Middle Basic School (1-7) Secondary School Table 1: Mean years of schooling of household head in 2002/03 Rural Urban All 5.3 9.3 Poorest 20% 4.4 6.6 Source: World Bank (2007a) Richest 20% 6.2 11.1 Is health a major constraint for the poor? HIV/AIDS costs almost 1 percent in GDP growth per year Prevalence rates are high: 17% of working age population in 2005 compared to the SSA average of 6%. High prevalence rates combined with poor health care provision and other diseases undermine Labor stock and ability to provide labor Productivity of the work force Incentives for investment Are material assets and access to land a major constraint to labor supply? Rural households are in general asset poor Customary land arrangements with limited transfer possibilities are dominant, with only 6-15% of land under statutory tenure The land system is not perceived as a binding constraint to inclusive growth Land is abundant – only 40% of arable land is used Most smallholders who demand more land get land from their chiefs (only 4% of respondents mentioned lack of land as a reason for poverty) Despite small plot sizes, a typical household does not have capability to cultivate more land The system creates risks to future returns on investments Lack of serviced land with access to infrastructure is a perceived binding constraint to operations implying not land, but rural infrastructure is a bottleneck Economic Growth Income increases through productive employment Self-employed Poverty Reduction/ Inclusion Wage-employed Business Environment Analysis (BEA) Employability Analysis (EA) EA: Individual constraints viewed from the perspective of different economic actors BEA: Firm constraints viewed from the perspective of different economic actors Business Environment Analysis Returns to economic activity Social Returns Private Appropriability Government failures Macro risks Cost of finance International sources of finance Market failures Micro risks Local sources of finance Domestic savings Financial sector intermediation Is the cost of capital a binding constraint to firms’ investment and growth? Figure 1: Real cost of capital (average) 100.0 90.0 80.0 Percent 70.0 60.0 50.0 40.0 30.0 20.0 10.0 0.0 1995 1996 1997 1998 Zambia 1999 2000 Mongolia Source: Authors’ own calculations using World Bank data. 2001 2002 South Africa 2003 Uganda 2004 2005 But, cost and access of capital differentials are sizable Access and cost of capital varies with the size of the firm In 2003, nearly 50 percent of larger firms had a loan, while only 19 percent of small firms had a loan The cost of capital differential between large and small firms was more than 10 percentage points Similar differentials existed between the cost of capital of exporters and non-exporters, domestic and foreign companies Micro firms face even steeper constraints What are the reasons for the poor access to and high cost of finance for small and micro firms? Poor financial intermediation rather than low domestic savings or bad international finance Domestic savings as a share of GDP climbed up from 6% in 1990s to 18.1% in 2006, a share higher than the SSA average FDI and aid have been higher than the average for SSA and LICs both in 1990s and 2000s However, there are signs of improvements the percentage of people identifying the cost of finance as the main reason for their poverty status halved in the period 2002-06 Business Environment Analysis Returns to economic activity Social Returns Private Appropriability Government failures Macro risks Cost of finance International sources of finance Market failures Micro risks Local sources of finance Domestic savings Financial sector intermediation Do low social returns constrain income growth? Zambia is well endowed with natural resources Landlocked geographic position: Pros: Serves as an import tax protecting domestic importcompeting industries; borders 8 countries and plays an active role in regional trade Cons: reaching global markets and realizing economies of scale is a problem Affects ability to export bulky low–value products (e.g. farm products) Requires well-developed air transport and an emphasis on high value, low weight and volume goods Access to air transport is low for Zambia’s level of per capita income Zambia GDP per capita (logs) Fitted values 95% CI Are infrastructure and basic services a binding constraint to income growth? High domestic transport costs due to poor domestic road condition and high fuel costs: affect the ability of rural residents to access markets; The reasons for poor access is not always because of limited supply (e.g. electricity), but because of industry structure and interests Poor quality and expensive basic services undermine the competitiveness of firms and slow down job creation Cost-structure: firm-level averages Source: Eifert, Gelb, and Ramachandran (2005) Connectivity services Mobile rates per minute $0.04 Mauritius $0.10 Zimbabwe $0.14 Mozambique $0.21 Namibia Swaziland $0.25 Tanzania $0.25 $0.27 South Africa $0.29 Malawi $0.32 Botswana $0.44 Zambia $0.00 $0.05 $0.10 $0.15 $0.20 Source: Mattoo and Payton (2007) $0.25 $0.30 $0.35 $0.40 $0.45 Business Environment Analysis Returns to economic activity Social Returns Infrastructure services Binding constraint to growth Private Appropriability Government failures Macro risks Cost of finance International sources of finance Market failures Micro risks Local sources of finance Domestic savings Financial sector intermediation Is the macroeconomic environment a binding constraint to inclusive growth? 150 REER index (1997=100) 140 5,000 130 120 4,000 110 100 3,000 90 2,000 80 70 1,000 60 50 1997 1998 1999 2000 2001 2002 2003 2004 2005 0 2006 Nominal Kwacha per dollar . 6,000 . Exchange rate developments Changes in the second half of 2008 Kwacha significantly depreciated Strengthening of the US dollar Falling copper prices Large withdrawal of portfolio investment Domestic political uncertainty This depreciation represents a correction of the overvaluation observed earlier Sound macroeconomic management extremely important Business Environment Analysis Returns to economic activity Social Returns Infrastructure services Binding constraint to growth Private Appropriability Government failures Macro risks REER appreciation Binding constraint to growth Cost of finance International sources of finance Market failures Micro risks Local sources of finance Domestic savings Financial sector intermediation Is regulatory uncertainty and government interventions an obstacle to inclusive growth? Regulatory uncertainty is the fourth most binding constraint to firms’ operations Most of firm owners (70 percent) think that officials’ interpretation of regulations is inconsistent and unpredictable Problem is especially acute in agriculture Fertilizer subsidy program Last minute contracts push up the cost of the input Program not well targeted opens opportunities for rent seeking Program is expensive (accounts for 50% of the budget earmarked for agriculture, compared to only 3% for irrigation and other rural infrastructure) Other government failures Tax system and administration Administrative procedures Governance (indirect effect on capacity and delivery of binding constraints) Business Environment Analysis Cost of finance Binding constraint for microfirms Returns to economic activity Social Returns Infrastructure services Binding constraint to growth Private Appropriability Government failures Macro risks REER appreciation Binding constraint to growth International sources of finance Market failures Micro risks Regulatory uncertainty Binding constraint to growth Local sources of finance Domestic savings Financial sector intermediation Are market failures binding constraints for income growth? Firms need services requiring simultaneous, large scale investments in: basic infrastructure and connectivity services which ensure access to inputs and foreign markets; marketing, state-of-the-art technology, and product quality information services Might be a development trap: No incentives for private investor before a certain level of economic activity Especially severe in sparsely populated countries Rural-urban differentials in connectivity service provision Poor access and high cost of basic services are major constraints to growth Rural areas are at a disadvantage relative to urban areas Number of households with access to facilities within 5 km 120 100 80 Rural 60 Urban 40 20 0 Food Market Input Market Post Office Public Transport Public Phone Internet Cafe Source: CSO (forthcoming) Farm level productivity is negatively correlated with weak service performance Examples where there were positive coordination externalities (e.g. outgrower schemes) Business Environment Analysis Returns to economic activity Social Returns Infrastructure services Binding constraint to growth Private Appropriability Government failures Macro risks REER appreciation Binding constraint to growth Cost of finance International sources of finance Market failures Coordination failures Binding constraint to growth Micro risks Regulatory uncertainty Binding constraint to growth Local sources of finance Domestic savings Financial sector intermediation Bindings constraints to inclusive growth in Zambia Regulatory uncertainty and government interventions (stop doing harm before doing good, especially severe in agriculture) Lack of positive coordination externalities (rural-urban connectivity) Access to post-primary education and health for the poor