Research on the Heterogeneity and Growth Capability of Manufacturing Industry in China Based on TFP Decomposition

Abstract

Abstract: By using the panel data of 28 industries of manufacturing industries in our country from 2003 to 2016 and using a translog production function to change the technical efficiency stochastic frontier model, this paper estimates total factor productivity (TFP) and its decomposition of manufacturing industries, and analysis TFP growth in the presence of heterogeneity of manufacturing industries and the impact of industrial heterogeneity on growth capability.The results indicate that China's manufacturing industries show a great difference in technical efficiency, technical progress and technical efficiency improvement, scale efficiency improvement, improvement of allocation efficiency and TFP index. At the same time, industrial heterogeneity has a significant positive role in promoting its growth capability for manufacturing industries. This indicates that enhancing industrial heterogeneity is benefit to promote growth capability of manufacturing industries in China by promoting technical progress efficiency, transformating increasing manner and improving the total factor productivity.

Key words: TFP, heterogeneity, growth capability, technical progress

CLC Number:

F830

YAN Yong-qin, YIN Li-qin. Research on the Heterogeneity and Growth Capability of Manufacturing Industry in China Based on TFP Decomposition[J]. , 2018(06): 46-55.

References

[1] David G Sirmon, Michael A Hitt, R Duane Ireland. Managing firm resources in dynamic environments to create value:looking inside the black box[J]. Academy of Management Review, 2007:273-292.

[2] Del Monte A, Papagni E. R&D and the growth of firms:empirical analysis of a panel of Italian firms[J]. Research Plocy,2003,32(06):1003-1014.

[3] Helfat, C. and Peteraf, M. The Dynamic Resource-Based View:Capability Lifecycles[J]. Strategic Management Journal,2003,24(10):997-1010.

[4] Yeaple, S. Firm Heterogeneity and the Structure of U.S. Multinational Activity:An Empirical Analysis[J].Journal of International Economics,2009(02):206-215.

[5] Bernard A B, Redding S, Schott P. Comparative Advantage and Heterogeneous Firms[J]. Review of Economic Studies, 2007, 74(01):21-34.

[6] Head K. and Ries J. Heterogeneity and the FDI Versus Export Decision of Japanese Manufactures[J]. Japanese Int Economics,2003,17(03):448-467.

[7] 孙晓华,周玲玲.异质性、技术创新与产业演化[J].产业经济评论,2010(4):80-91.

[8] 吕宏芬,刘斯敖.我国制造业集聚变迁与全要素生产率增长研究[J].浙江社会科学,2012(3):22-30.

[9] 范丹.经济转型视角下中国工业行业环境全要素生产率及增长动力分析[J].中国环境科学,2015(10):3177-3186.

[10] 李丹,胡小娟.中国制造业企业相对效率和全要素生产率增长研究-基于1999-2005年行业数据的实证分析[J].数量经济技术经济研究,2008(7):31-41.

[11] 田泽永,江可申.我国制造业全要素生产率增长的差异化路径分析[J].统计与决策,2013(24):59-61.

[12] 石腾超,邹一楠.我国制造业全要素生产率区域差异及其原因研究-基于制造业2003-2011年面板数据的实证分析[J].区域经济评论,2014(1):130-136.

[13] 严兵.效率增进、技术进步与全要素生产率增长-制造业内外资企业生产率比较[J].数量经济技术经济研究,2008(11):16-26.

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