scholarly journals PRODUCTIVITY CONVERGENCE ACROSS INDUSTRIES AND COUNTRIES: THE IMPORTANCE OF THEORY-BASED MEASUREMENT

2009 ◽  
Vol 13 (S2) ◽  
pp. 218-240 ◽  
Author(s):  
Robert Inklaar ◽  
Marcel P. Timmer
Keyword(s):  
Productivity Growth ◽  
American Economic Review ◽  
Reliable Data ◽  
Production Theory ◽  
Industry Level ◽  
Capital Assets ◽  
Productivity Convergence ◽  
Sectoral Productivity ◽  
Cross Country ◽  
Convergence Trend

Cross-country studies of economic growth have been hampered by the scarcity of reliable data on productivity at the industry level; see Bernard and Jones [American Economic Review, 91 (4) (2001), 1168–1169] and Rogerson [Journal of Political Economy, 116 (2) (2008), 235–259]. We bring together literature on industry prices, human capital, and capital assets to construct industry-level productivity measures that are well grounded in neoclassical production theory. These theory-based measures differ widely from the crude measures commonly used in the literature. We use these to confirm and strengthen the finding of Bernard and Jones [American Economic Review, 86 (5) (1996), 1216–1238] that for advanced OECD countries, patterns of convergence across sectors have differed since 1970: whereas productivity in market services converged, there is no convergence in manufacturing. More detailed analysis confirms that patterns of convergence are highly industry-specific. There is no dominant convergence trend in sectoral productivity growth across advanced countries.

scholarly journals The Industry Sources of Productivity Growth and Convergence

2018 ◽  
pp. 724-752 ◽  
Author(s):  
Robert Inklaar
Keyword(s):  
Emerging Economies ◽  
Productivity Growth ◽  
Diagnostic Tool ◽  
Productivity Analysis ◽  
Important Goal ◽  
Rapid Convergence ◽  
Research Attention ◽  
Industry Level ◽  
Cross Country ◽  
Growth Differences

Industry-level productivity analysis can be a useful diagnostic tool to better understand why some countries show faster overall productivity growth and to direct research attention to parts of the economy that warrant more detailed scrutiny. This chapter illustrates these strengths in three applications, namely the Europe-US productivity growth gap since the mid-1990s, the sectoral sources of rapid convergence of productivity levels between advanced and emerging economies, and an analysis of the determinants of productivity growth and convergence. One conclusion is that a better understanding of productivity growth (or lack thereof) in services industries should still be an important goal of researchers aiming to understand cross-country growth differences.

scholarly journals Cross-Country Productivity Growth

2005 ◽  
Vol 2005 (26) ◽  
Author(s):  
Riccardo DiCecio
Keyword(s):  
Productivity Growth ◽  
Cross Country

scholarly journals Total Factor Productivity Growth of Indian General Insurance Companies in the Recent Period: A Bootstrapped Approach

2019 ◽  
Vol 11 (1-2) ◽  
pp. 59-80
Author(s):  
Ram Pratap Sinha
Keyword(s):  
Private Sector ◽  
Total Factor Productivity ◽  
Productivity Growth ◽  
Malmquist Index ◽  
American Economic Review ◽  
Productivity Index ◽  
Insurance Companies ◽  
Productivity Change ◽  
Productivity Analysis ◽  
Factor Productivity

This study estimates Malmquist index of total factor productivity change of 14 major general insurers in India over the period 2009–10 to 2016–17 over 7 annual windows. The study decomposes total factor productivity index into its constituent components, using several approaches including Färe et al. (1989, Productivity Developments in Swedish Hospitals: A Malmquist Output Index Approach. Carbondale: Department of Economics, Southern Illinois University; 1992, Journal of Productivity Analysis 3(1): 85–101), Färe et al. (1994, American Economic Review 84(1): 66–83), Ray and Desli (1997, American Economic Review 87(5): 1033–39) and Wheelock and Wilson (1999, Journal of Money, Credit and Banking 31(2): 212–23). Furthermore, the study uses bootstrap data envelopment analysis (DEA) method to obtain bias-corrected point and interval estimates of Malmquist index and its components. Finally, the study makes a comparison of productivity performance between public and private sector insurers. The results indicate a modest growth in total factor productivity during the period contributed mainly by efficiency changes. The private sector insurers performed better than the public sector in terms of productivity growth. The variations in productivity performance indicate that insurer scale of activity can affect their performance. JEL Classification: G-23, C-61, D-21

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