Infrastructure S Contribution To Aggregate Output

"Of the major kinds of physical infrastructure, electricity generating capacity has roughly the same marginal productivity as physical capital as a whole. So have roads-plus-rail, globally and in lower-income countries. Telephones, however, and transport routes in higher-income countries, have higher marginal productivity than other kinds of capital"--Cover.

Of the major kinds of physical infrastructure, electricity generating capacity has roughly the same marginal productivity as physical capital as a whole. So have roads-plus-rail, globally and in lower-income countries. Telephones, however, and transport routes in higher-income countries, have higher marginal productivity than other kinds of capital.Using panel data for a cross-section of countries, Canning estimates an aggregate production function that includes infrastructure capital. He finds that:middot; The productivity of physical and human capital is close to the levels suggested by microeconomic evidence on their private returns.middot; Electricity generating capacity and transportation networks have roughly the same marginal productivity as capital as a whole.middot; Telephone networks appear to show higher marginal productivity than other types of capital.Panel data cointegration methods used in estimation take account of the nonstationary nature of the data, are robust to reverse causation, and allow for different levels of productivity and different short-run business-cycle and multiplier relationships across countries.This paper - a product of Public Economics, Development Research Group - is part of a larger effort in the group to study the impact of public expenditures. The study was funded by the Bank's Research Support Budget under the research project Infrastructure and Growth: A Multicountry Panel Study (RPO 680-89). The author may be contacted at [email protected].

This paper reviews the linkages between infrastructure and economic development based on both formal empirical research and informal case studies. The main thesis is that economic benefits result from investments in infrastructure only to the extent that they generate a sustainable flow of services valued by consumers. Thus, an analysis of infrastructures' contributions to growth must look at the impacts of services as actually perceived, not at indirect indicators that measure only aggregate provision of infrastructure capital. The paper notes that macro and industry level research , although having its limitations, suggest a positive and statistically significant relationship between infrastructure and economic output. However the conclusions derived from this research (most of which derives from developed countries) provide little specific guidance for policy. To gain more practical insights about how infrastructure contributes to economic growth and to improved quality of life, and to understand the welfare costs of inadequate or unreliable infrastructure, it is necessary to look at microeconomic evidence. Particularly interesting illustrations of these relationships are to be found in developing countries where there is wide variance in the availability and quality of infrastructure.

Public spending on infrastructure plays an important role in promoting economic growth and poverty alleviation. Empirical studies unequivocally show that under-investment in infrastructure limit economic growth. At the same time, numerous other studies have shown that investment in infrastructure can be a highly effective tool in fighting poverty reduction1. In that context, the financing of infrastructure has been a critical element of most economic growth and poverty reduction strategies in developing countries, since the start of this millennium. This book provides a comparative analysis of the aggregate and sectoral implications of higher spending on infrastructure in three very different Asian countries: China, Pakistan, and the Philippines. Particular attention is paid to the role of alternative financing mechanisms for increasing public infrastructure investment, namely distortionary and non-distortionary means of financing. The book will be of interest to scholars and policy-makers concerned with economic growth in developing countries.

At the beginning of the twentieth century, Venezuela had one of the poorest economies in Latin America, but by 1970 it had become the richest country in the region and one of the twenty richest countries in the world, ahead of countries such as Greece, Israel, and Spain. Between 1978 and 2001, however, Venezuela’s economy went sharply in reverse, with non-oil GDP declining by almost 19 percent and oil GDP by an astonishing 65 percent. What accounts for this drastic turnabout? The editors of Venezuela Before Chávez, who each played a policymaking role in the country’s economy during the past two decades, have brought together a group of economists and political scientists to examine systematically the impact of a wide range of factors affecting the economy’s collapse, from the cost of labor regulation and the development of financial markets to the weakening of democratic governance and the politics of decisions about industrial policy. Aside from the editors, the contributors are Omar Bello, Adriana Bermúdez, Matías Braun, Javier Corrales, Jonathan Di John, Rafael Di Tella, Javier Donna, Samuel Freije, Dan Levy, Robert MacCulloch, Osmel Manzano, Francisco Monaldi, María Antonia Moreno, Daniel Ortega, Michael Penfold, José Pineda, Lant Pritchett, Cameron A. Shelton, and Dean Yang.

Abstract: This paper provides an overview of the various channels through which public infrastructure may affect growth. In addition to the conventional productivity, complementarity, and crowding-out effects typically emphasized in the literature, the impact of infrastructure on investment adjustment costs, the durability of private capital, and the production of health and education services are also highlighted. Effects on health and education are well documented in a number of microeconomic studies, but macroeconomists have only recently begun to study their implications for growth. Links between health, infrastructure, and growth are illustrated in an endogenous growth model with transitional dynamics, and the optimal allocation of public expenditure is discussed. The concluding section draws implications of the analysis for the design of strategies aimed at promoting growth and reducing poverty.

This book examines the impact of financing on Africa’s economic development. By exploring various financial instruments including the role of alternative sources of funding like migrant remittances and illicit flows, it analyses the role of financing for Africa’s macroeconomic development and other development indicators such as infrastructure, transport, global trade, industrialisation, social services, external indebtedness and governance. By presenting and examining case studies on various African countries and regions, the respective contributions investigate the capacity of institutions to facilitate and structure the economy’s funding activities, and to strengthen the ties between finance and development. Furthermore, they discuss various regional aspects, such as the integration of infrastructure, harmonization of fiscal policy, integration of financial markets, and the facilitation of intra-regional trade and movement of capital. Given its scope, the book will appeal to scholars of economics and development studies with an interest in the economic development of Africa.

"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."--World Bank web site.