Journal of Northeastern University(Social Science) ›› 2018, Vol. 20 ›› Issue (2): 147-154.DOI: 10.15936/j.cnki.1008-3758.2018.02.006

• Economics and Management • Previous Articles     Next Articles

On the Threshold Effect of Environmental Regulation upon the Improvement of China's Industrial Green Innovation Efficiency

LUO Yan1, CHEN Ping1   

  1. (1. School of Public Finance and Taxation, Zhongnan University of Economics and Law, Wuhan 430073, China;2.School of Business, Guilin University of Electronic Technology, Guilin 541004, China)
  • Received:2017-09-20 Revised:2017-09-20 Online:2018-03-25 Published:2018-03-29
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Abstract: The SBM-based Global Malmquist-Luenberger (GML) method was used to calculate China's 30 provincial-level green industry innovation efficiency from 2005 to 2015, and the panel threshold model was built to evaluate the non-linear relationship between environmental regulation and green innovation efficiency. The results showed that on the whole China's green innovation efficiency is low, taking on the “West-East-Middle” descending order pattern. The threshold regression showed that there exists a threshold effect of environmental regulation on green innovation efficiency if level of economic development, R&D investment and ownership structure are taken as the threshold variables. Besides, the industrial structure does not have a significant negative impact on green innovation efficiency and opening up helps improve green innovation efficiency while government intervention would curb green innovation efficiency.

Key words: Global Malmquist-Luenberger(GML), green innovation efficiency, threshold effect, environmental regulation

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