Decomposing productivity indexes into explanatory factors

被引:45
作者
Diewert, W. Erwin [1 ,2 ,3 ]
Fox, Kevin J. [2 ,3 ]
机构
[1] Univ British Columbia, Vancouver, BC, Canada
[2] Univ New South Wales, Sch Econ, Sydney, NSW 2052, Australia
[3] Univ New South Wales, Ctr Appl Econ Res, Sydney, NSW 2052, Australia
基金
澳大利亚研究理事会;
关键词
Malmquist indexes; Data Envelopment Analysis; Free Disposal Hulls; Nonparametric approaches to production theory; Distance functions; REFERENCE TECHNOLOGY; TECHNICAL PROGRESS; ECONOMIC-THEORY; EFFICIENCY; MALMQUIST; SCALE; RETURNS; REGRESS; GROWTH; VIEW;
D O I
10.1016/j.ejor.2016.05.043
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Productivity measures are increasingly regarded as key indicators of economic performance. Identifying sources of productivity growth is of interest to both firms and policy makers. This paper revisits the debate on how to decompose productivity growth into explanatory factors, with a focus on extracting technical progress, technical efficiency change, and returns to scale components. Using Bjurek's concept of the Malmquist index, introduced into production theory in a systematic way by Caves, Christensen and Diewert, a reference technology is required to define the components of interest. Unlike other approaches, ours do not make any convexity assumptions on the reference technology but instead follows the example of Tulkens and his coauthors in assuming that the reference technology satisfies free disposability assumptions. A new decomposition of a productivity index is provided, with the existence and properties of the underlying distance functions of the decomposition proven under relatively unrestrictive assumptions. The paper also provides for the first time a theoretical justification for the geometric average form of the Bjurek productivity index. These rigorous theoretical contributions provide significant avenues for enhanced understanding of empirical productivity performance. (C) 2016 Elsevier B.V. All rights reserved.
引用
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页码:275 / 291
页数:17
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