Do Technology and Efficiency Differences Determine Productivity?

This paper investigates the forces driving output growth, namely technological, efficiency, and input changes, in 80 countries over the period 1970-2000. Relevant past studies typically assume that: (i) countries use resources efficiently, and (ii) the underlying production technology is the same for all countries. We address these issues by estimating a stochastic frontier model, which explicitly accounts for inefficiency, augmented with a latent class structure, which allows for production technologies to differ across groups of countries. Membership of these groups is estimated, rather than determined ex ante. Our results indicate the existence of three groups of countries. These groups differ significantly in terms of efficiency levels, technological change, and the development of capital and labor elasticities. However, a consistent finding across groups is that growth is driven mainly by factor accumulation (capital deepening).

[1]  David M. Kemme Financial Structure and Economic Growth: A Cross-Country Comparison of Banks, Markets and Development , 2005 .

[2]  S. Kumbhakar,et al.  Estimation of growth convergence using a stochastic production frontier approach , 2005 .

[3]  William H. Greene,et al.  Reconsidering heterogeneity in panel data estimators of the stochastic frontier model , 2005 .

[4]  S. Redding,et al.  Technological convergence, R&D, trade and productivity growth , 2005 .

[5]  Subal C. Kumbhakar,et al.  Markov Switching Stochastic Frontier Model , 2004 .

[6]  S. Redding,et al.  Foreign Ownership and Productivity: New Evidence from the Service Sector and the R&D Lab , 2004 .

[7]  S. Miller,et al.  Explaining Economic Growth: Factor Accumulation, Total Factor Productivity Growth, and Production Efficiency Improvement , 2004 .

[8]  S. Kumbhakar,et al.  Efficiency measurement using a latent class stochastic frontier model , 2004 .

[9]  R. Kneller,et al.  Absorptive Capacity and Frontier Technology: Evidence from OECD Manufacturing Industries , 2002 .

[10]  S. Scarpetta,et al.  Productivity and Convergence in a Panel of OECD Industries: Do Regulations and Institutions Matter? , 2002 .

[11]  S. Miller,et al.  Total Factor Productivity, Human Capital and Outward Orientation: Differences by Stage of Ddevelopment and Geographic Regions , 2002 .

[12]  R. R. Russell,et al.  Technological Change, Technological Catch-up, and Capital Deepening: Relative Contributions to Growth and Convergence , 2002 .

[13]  Yasmina Reem Limam,et al.  The components of output growth: A stochastic frontier analysis , 2002 .

[14]  Marcel P. Timmer,et al.  The 'appropriate technology' explanation of productivity growth differentials: an empirical approach , 2005 .

[15]  A. U.S.,et al.  FORMULATION AND ESTIMATION OF STOCHASTIC FRONTIER PRODUCTION FUNCTION MODELS , 2001 .

[16]  R. Barro,et al.  International Data on Educational Attainment Updates and Implications , 2000 .

[17]  Gary Koop,et al.  Modeling the Sources of Output Growth in a Panel of Countries , 2000 .

[18]  R. Domènech,et al.  Instituto de Análisis Económico (CSIC) and , 2000 .

[19]  John Duffy,et al.  A Cross-Country Empirical Investigation of the Aggregate Production Function Specification , 2000 .

[20]  C. I. Jones,et al.  Why Do Some Countries Produce so Much More Output Per Worker than Others? , 1998 .

[21]  Edward C. Prescott,et al.  Needed: a theory of total factor productivity , 1998 .

[22]  Wolfgang Keller,et al.  How Trade Patterns and Technology Flows Affect Productivity Growth , 1997 .

[23]  R. Barro Determinants of Economic Growth: A Cross-Country Empirical Study , 1996 .

[24]  Nazrul Islam,et al.  Growth Empirics: A Panel Data Approach , 1995 .

[25]  Jess Benhabib,et al.  The role of human capital in economic development Evidence from aggregate cross-country data , 1994 .

[26]  Quality Improvements in Models of Growth , 1994 .

[27]  R. Färe,et al.  Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries , 1994 .

[28]  Elhanan Helpman,et al.  International R&D spillovers , 1995 .

[29]  H. Broadman,et al.  Finance and Growth: Schumpeter Might Be Right , 1993 .

[30]  D. Weil,et al.  A Contribution to the Empirics of Economic Growth Author ( s ) : , 2008 .

[31]  B. Robert Economic Growth in a Cross Section of Countries , 1989 .

[32]  G. Battese,et al.  Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data , 1988 .

[33]  Badi H. Baltagi,et al.  A General Index of Technical Change , 1988, Journal of Political Economy.

[34]  W. Baumol Productivity Growth, Convergence, and Welfare: What the Long-run Data Show , 1985 .

[35]  C. Lovell,et al.  On the estimation of technical inefficiency in the stochastic frontier production function model , 1982 .

[36]  H R Acuña,et al.  [Appropriate technology]. , 1980, Boletin de la Oficina Sanitaria Panamericana. Pan American Sanitary Bureau.

[37]  G. Battese,et al.  ESTIMATION OF A PRODUCTION FRONTIER MODEL: WITH APPLICATION TO THE PASTORAL ZONE OF EASTERN AUSTRALIA , 1977 .

[38]  W. Meeusen,et al.  Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error , 1977 .

[39]  R. Solow TECHNICAL CHANGE AND THE AGGREGATE PRODUCTION FUNCTION , 1957 .