基于双前沿面数据包络分析的循环全局Malmquist指数

doi:10.16381/j.cnki.issn1003-207x.2015.11.006

Abstract

Abstract: Measures of productivity growth constitute core indicators for the analysis of economic growth. The data envelopment analysis (DEA)-based Malmquist quantity index has enjoyed widespread use in a production context. By using all the periods to construct a global benchmarking technology frontier, the double frontiers data envelopment analysis (DFDEA)-based Malmquist productivity index is extended to acquire a DFDEA-based global Malmquist productivity index, which can avoid the differences in evaluation results resulted from the arbitrary choice of frontiers and base periods. This global index integrates the information on both the optimistic frontier and the pessimistic frontier and can meet the requirement of circular test. This global Malmquist productivity index is applied to investigate the behaviors of the industrial sectors of Fujian province during the years 2001 to 2008. The application results have clearly shown that our approach is more comprehensive and more realistic than the traditional DEA-based MPI in measuring productivity index.

Key words: data envelopment analysis, Malmquist productivity index, double frontiers data envelopment analysis, global malmquist productivity index, circular test

CLC Number:

C934

WANG Ying-ming, LAN Yi-xin. Measuring Malmquist Productivity Index:A Circular Global Approach Based on Double Frontiers Data Envelopment Analysis[J]. Chinese Journal of Management Science, 2015, 23(11): 46-55.

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Measuring Malmquist Productivity Index:A Circular Global Approach Based on Double Frontiers Data Envelopment Analysis

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