Publication: Infrastructure and Growth in South Africa : Direct and Indirect Productivity Impacts of 19 Infrastructure Measures
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Date
2009
ISSN
0305750X
Published
2009
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Empirical explorations of the growth and aggregate productivity impacts of infrastructure have been characterized by ambiguous (countervailing signs) results with little robustness. This paper, utilizing panel data for South African manufacturing over the 1970-2000 period, and a range of 19 infrastructure measures, explores the question of infrastructure endogeneity in output equations. The paper develops an instrumentation strategy generalizable to other contexts. Controlling for the possibility of endogeneity in the infrastructure measures renders the impact of infrastructure capital not only positive, but of economically meaningful magnitudes.
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Publication Infrastructure and Growth in South Africa: Direct and Indirect Productivity Impacts of 19 Infrastructure Measures(World Bank, Washington, DC, 2006-08)Empirical explorations of the growth and productivity impacts of infrastructure have been characterized by ambiguous (countervailing signs) results with little robustness. A number of explanations of the contradictory findings have been proposed. These range from the crowd-out of private by public sector investment, non-linearities generating the possibility of infrastructure overprovision, simultaneity between infrastructure provision and growth, and the possibility of multiple (hence indirect) channels of influence between infrastructure and productivity improvements. The authors explore these possibilities using panel data for South Africa over the 1970-2000 period, and a range of 19 infrastructure measures. Using a number of alternative measures of productivity, the prevalence of ambiguous (countervailing signs) results, with little systematic pattern is also shown to hold for their data set in estimations that include the infrastructure measures in simple growth frameworks. The authors demonstrate that controlling for potential endogeneity of infrastructure in estimation robustly eliminates virtually all evidence of ambiguous impacts of infrastructure, due for example to possible overinvestment in infrastructure. Controlling for the possibility of endogeneity in the infrastructure measures renders the impact of infrastructure capital not only positive, but of economically meaningful magnitudes. These findings are invariant between the direct impact of infrastructure on labor productivity, and the indirect impact of infrastructure on total factor productivity.Publication Infrastructure and Economic Development in Sub-Saharan Africa(2010)An adequate supply of infrastructure services has long been viewed by both academics and policy makers as a key ingredient for economic development. Sub-Saharan Africa ranks consistently at the bottom of all developing regions in terms of infrastructure performance, and an increasing number of observers point to deficient infrastructure as a major obstacle for growth and poverty reduction across the region. This paper offers an empirical assessment of the impact of infrastructure development on growth and inequality, with a focus on Sub-Saharan Africa. The paper uses a comparative cross-regional perspective to place Africa's experience in the international context. Drawing from an updated data set of infrastructure quantity and quality indicators covering more than 100 countries and spanning the years 1960-2005, the paper estimates empirical growth and inequality equations including a standard set of control variables augmented by infrastructure quantity and quality measures, and controlling for the potential endogeneity of the latter. The estimates illustrate the potential contribution of infrastructure development to growth and equity across Africa.Publication North-South and South-South Trade-Related Technology Diffusion: How Important Are They in Improving TFP Growth?(2008)This paper examines the impact on total factor productivity (TFP) growth in the South of North-South and South-South trade-related technology diffusion and of foreign direct investment (FDI). North-South and South-South trade-related research and development (R&D) stocks are constructed based on industry-specific R&D in the North, North-South and South-South trade patterns, and input-output relations in the South. The main findings are: 1. both North-South and South-South trade-related R&D have a positive impact on TFP growth in the South; 2. FDI has a positive, though smaller, impact on TFP growth; and 3.the impact on TFP growth of trade-related technology diffusion increases with the level of education in the case of North-South trade but not in the case of South-South trade.Publication Road Network Upgrading and Overland Trade Expansion in Sub-Saharan Africa(2010)Recent research suggests that poor economic integration and isolation from regional and international markets have contributed significantly to poverty in Sub-Saharan Africa. Poor transport infrastructure and border restrictions are major deterrents to trade expansion which would stimulate economic growth and poverty reduction. Using spatial network analysis techniques and gravity trade model estimations, this paper quantifies the economics of upgrading a primary road network that connects the major urban areas in the region. The results indicate that continental network upgrading is worth serious consideration from an economic perspective. Our simulations suggest that overland trade among Sub-Saharan African countries might expand by about $250 billion over 15 years, with major direct and indirect benefits for the rural poor. Financing the programme would require about $20 billion for initial upgrading and $1 billion annually for maintenance.Publication It's Not Factor Accumulation : Stylized Facts and Growth Models(Washington, DC: World Bank, 2001-05)The article documents five stylized facts of economic growth: (1) the 'residual' (total factor productivity, tfp) rather than factor accumulation accounts for most of the income and growth differences across countries; (2) income diverges over the long run; (3) factor accumulation is persistent while growth is not, and the growth path of countries exhibits remarkable variation; (4) economic activity is highly concentrated, with all factors of production flowing to the richest areas; and (5) national policies are closely associated with long-run economic growth rates. These facts do not support models with diminishing returns, constant returns to scale, some fixed factor of production, or an emphasis on factor accumulation. However, empirical work does not yet decisively distinguish among the different theoretical conceptions of tfp growth. Economists should devote more effort toward modeling and quantifying tfp.
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