Is Infrastructure Capital Productive? A Dynamic Heterogeneous Approach


Book Description

This paper offers an empirical evaluation of the output contribution of infrastructure. Drawing from a large data set on infrastructure stocks covering 88 countries and spanning the years 1960-2000, and using a panel time-series approach, the paper estimates a long-run aggregate production function relating GDP to human capital, physical capital, and a synthetic measure of infrastructure given by the first principal component of infrastructure endowments in transport, power, and telecommunications. Tests of the cointegration rank allowing it to vary across countries reveal a common rank with a single cointegrating vector, which is taken to represent the long-run production function. Estimation of its parameters is performed using the pooled mean group estimator, which allows for unrestricted short-run parameter heterogeneity across countries while imposing the (testable) restriction of long-run parameter homogeneity. The long-run elasticity of output with respect to the synthetic infrastructure index ranges between 0.07 and 0.10. The estimates are highly significant, both statistically and economically, and robust to alternative dynamic specifications and infrastructure measures. There is little evidence of long-run parameter heterogeneity across countries, whether heterogeneity is unconditional, or conditional on their level of development, population size, or infrastructure endowments.




Is Infrastructure Capital Productive? A Dynamic Heterogeneous Approach


Book Description

This paper offers an empirical evaluation of the output contribution of infrastructure. Drawing from a large data set on infrastructure stocks covering 88 countries and spanning the years 1960-2000, and using a panel time-series approach, the paper estimates a long-run aggregate production function relating GDP to human capital, physical capital, and a synthetic measure of infrastructure given by the first principal component of infrastructure endowments in transport, power, and telecommunications. Tests of the cointegration rank allowing it to vary across countries reveal a common rank with a single cointegrating vector, which is taken to represent the long-run production function. Estimation of its parameters is performed using the pooled mean group estimator, which allows for unrestricted short-run parameter heterogeneity across countries while imposing the (testable) restriction of long-run parameter homogeneity. The long-run elasticity of output with respect to the synthetic infrastructure index ranges between 0.07 and 0.10. The estimates are highly significant, both statistically and economically, and robust to alternative dynamic specifications and infrastructure measures. There is little evidence of long-run parameter heterogeneity across countries, whether heterogeneity is unconditional, or conditional on their level of development, population size, or infrastructure endowments.




Infrastructure's Contribution to Aggregate Output


Book Description

"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.




Economic Analysis and Infrastructure Investment


Book Description

"Policy-makers often call for expanding public spending on infrastructure, which includes a broad range of investments from roads and bridges to digital networks that will expand access to high-speed broadband. Some point to near-term macro-economic benefits and job creation, others focus on long-term effects on productivity and economic growth. This volume explores the links between infrastructure spending and economic outcomes, as well as key economic issues in the funding and management of infrastructure projects. It draws together research studies that describe the short-run stimulus effects of infrastructure spending, develop new estimates of the stock of U.S. infrastructure capital, and explore the incentive aspects of public-private partnerships (PPPs). A salient issue is the treatment of risk in evaluating publicly-funded infrastructure projects and in connection with PPPs. The goal of the volume is to provide a reference for researchers seeking to expand research on infrastructure issues, and for policy-makers tasked with determining the appropriate level of infrastructure spending"--













Infrastructure's Contribution to Aggregate Output


Book Description

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].




Network Effects of the Productivity of Infrastructure in Developing Countries


Book Description

Using panel data models, the author examines the threshold effects of the productivity of infrastructure investment in developing countries. He considers various specifications of an augmented production function that allow for endogenous thresholds. More precisely, these specifications are tested in a panel threshold regression model. The author's main robust result is the presence of strong threshold effects in the relationship between output and private and public inputs. Whatever the transition mechanism used, the testing procedures lead to strong rejection of the linearity of this relationship. In particular, the productivity of infrastructure investment generally exhibits some network effects. When the available stock of infrastructure is very low, investment in this sector has the same productivity as noninfrastructure investment. On the contrary, when a minimum network is available, the marginal productivity of infrastructure investment is generally largely greater than the productivity of other investment. Finally, when the main network is achieved, its marginal productivity becomes similar to the productivity of other investment.




ECMT Round Tables Transport Infrastructure Investment and Economic Productivity


Book Description

This Round Table addresses the macroeconomic effects of transport infrastructure policies, and aimed at identifying tools that could determine the overall volume of public expenditure for transport infrastructure investment. It also identifies methods for assessing macroeconomic impact.