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Measuring and Explaining the Impact of Productive Efficiency on Economic Development
Ruwan Jayasuriya,Quentin Wodon +1 more
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In this article, the authors use a stochastic frontier approach to study factors affecting economic performance, using a panel data set of 71 countries for the 1980-98 periods to estimate a production frontier with physical capital, human capital, and labor as inputs.Abstract:
A limitation of most empirical cross-country studies that focus on determinants of gross domestic product (GDP) is that they fail to distinguish explicitly between inputs used in production and conditions that facilitate production. For example, physical capital, human capital, and labor are production inputs, whereas the quality of institutions, macroeconomic stability, and market quality are conditions that facilitate production. This article takes this distinction seriously and uses a stochastic frontier approach to study factors affecting economic performance. A panel data set of 71 countries for the 1980-98 periods is used to estimate a production frontier with physical capital, human capital, and labor as inputs. The article also analyzes what drives productive efficiency, using the institutional framework, macroeconomic stability, market quality, and urbanization as possible explanatory factors. Urbanization turns out to be an important determinant, with the rule of law, inflation rate, and market quality also affecting productive efficiency.read more
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Mobile, fixed line and Internet service effects on global productive efficiency
TL;DR: The findings suggest that expanded communication networks work in conjunction with economic reforms to improve business and government relations and institutional reforms and the growth in information networks appear to benefit the world as a whole, but particularly its poorest nations, by improving the efficiency of how these and other resources are used.
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Economic impacts of mobile versus fixed broadband
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Whither Corruption? A Quantitative Survey of the Literature on Corruption and Growth
TL;DR: This paper used meta-analysis techniques to systematically evaluate the evidence addressing this question and found that publication bias, albeit somewhat acute, does not eliminate the genuine negative effect of corruption on economic growth and that the main factors explaining the variation in these estimates are whether the model accounts for institutions and trade openness, authors' affiliation, and use of fixed-effects.
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Journal ArticleDOI
Measuring the efficiency of decision making units
TL;DR: A nonlinear (nonconvex) programming model provides a new definition of efficiency for use in evaluating activities of not-for-profit entities participating in public programs and methods for objectively determining weights by reference to the observational data for the multiple outputs and multiple inputs that characterize such programs.
Journal ArticleDOI
Formulation and estimation of stochastic frontier production function models
TL;DR: In this paper, the authors define the disturbance term as the sum of symmetric normal and (negative) half-normal random variables, and consider various aspects of maximum-likelihood estimation for the coefficients of a production function with an additive disturbance term of this sort.
Journal ArticleDOI
Why Do Some Countries Produce so Much More Output Per Worker than Others
TL;DR: This paper showed that differences in physical capital and educational attainment can only partially explain the variation in output per worker, and that a large amount of variation in the level of the Solow residual across countries is driven by differences in institutions and government policies.
Journal ArticleDOI
Why do Some Countries Produce So Much More Output Per Worker than Others
Robert E. Hall,Charles I. Jones +1 more
TL;DR: This article showed that the differences in capital accumulation, productivity, and therefore output per worker are driven by differences in institutions and government policies, which are referred to as social infrastructure and called social infrastructure as endogenous, determined historically by location and other factors captured by language.
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