中小工业企业技术效率与全要素生产率增长实证研究——基于2003—2007年广东省微观面板数据和随机前沿模型的分析被引量：4

Research on Technical Efficiency and Growth of TFP of Small and Medium Industrial Enterprises

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摘要基于2003—2007年广东省中小工业企业微观面板数据,运用超越对数形式的随机前沿生产函数估算其技术效率,并利用Malmquist指数研究其全要素生产率(TFP)增长及分解。实证结果显示,总体上,广东省中小工业企业的技术效率偏低,但呈现逐年增长的趋势;资本密集型行业的技术效率相对较高,劳动密集型行业的技术效率增长速度更快;TFP的年均增长率达到7.42%,其增长主要由技术效率变化和技术进步共同驱动,规模效率变化为负,其对整体TFP的增长有一定的抑制作用。 Based on a firm -level panel data of small and medium industrial enterprises （SMIEs） sector in Guangdong, China from 2003 to 2007, this paper employs the translog stochastic frontier production function to estimate the technical efficiency and the total factor productivity （TFP） of SMIEs. The results show that the technical efficiency of Guangdong＇ SMIEs is on the tow side, with a rising trend during 2003 - 2007. Comparing to labor - intensive industries, the technical efficiency of capital - intensive industries is higher, with a slower growth rate. The annual growth of TFP in Guangdong＇ SMIEs sector is as high as 7.42%. The improvement of technical efficiency and technical progress are two main sources of TFP growth, but the scale component slows the growth of TFP.

作者龙志和林佳显林光平

机构地区华南理工大学经济与贸易学院美国波特兰州立大学经济系

出处《科技管理研究》 CSSCI 北大核心 2012年第1期43-49,共7页 Science and Technology Management Research

基金教育部人文社会科学研究规划基金项目"面板数据随机前沿模型的空间计量经济分析"(08JA790045)

关键词随机前沿技术效率全要素生产率 MALMQUIST stochastic frontier technical efficiency total factor productivity Malmquist

分类号 F425 [经济管理—产业经济] F273.1 [经济管理—企业管理]

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1AIGNER D, LOVELL K, SCHMIDT P. Formulation and estimation of stochastic frontier production function models . [ J ]. Journal of Econometrics, 1977 (6): 21-37.
2BATRA G, TAN H. SME technical efficiency and its correlates: cross - national evidence and policy implications [ C ]. World Bank Institute Working Paper, 2003 : 9.
3FRIED H, LOVELL K, SCHMIDT S. The measurement of productive efficiency and productivity growth [ M]. New York: Oxford University Press, 2008.
4FUENTES H, GRIFELL -TATJE J E, PERELMAN S. A parametric distance function approach for Malmquist productivity index estimation [J]. Journal of Productivity Analysis, 2001, 15 (2) : 79 -94.
5KIM S, HANG. A decomposition of total factor productivity growth in Korean manufacturing industry [ J]. Journal of Productivity Analysis, 2001 (16) : 269 -280.
6MARGONO H, SHARMA S C. Efficiency and productivity analyses of Indonesian manufacturing industries [ J ]. Journal of Asian Economics, 2006 (17) : 979 -995.
7MEEUSEN W, VAN DEN BROECK J. Efficiency estimation from Cobb - Douglas production functions with composed error [ J ]. International Economic Review, 1977 (18) : 435 -444.
8NATARAJAN S, RAJESH RAJ S N. Technical efficiency in the informal manufacturing enterprises: firm level evidence from an Indian state [C]. MPRA Paper, No. 7816, 2007.
9NISHIMIZU M, PAGE J. Total factor productivity growth, technological progress and technical ef? ciency change: dimensions of productivity change in Yugoslavia 1965 - 1978 [ J]. Economic Journal, 1982, 92 (368), 920-36.
10OREA L. Parametric decomposition of a generalized Malmquist productivity index [J]. Journal of Productivity Analysis, 2002, 18 (1): 5-22.