东北大学学报(社会科学版) ›› 2018, Vol. 20 ›› Issue (2): 147-154.DOI: 10.15936/j.cnki.1008-3758.2018.02.006

• 经济与管理研究 • 上一篇    下一篇

环境规制对中国工业绿色创新效率改善的门槛效应研究

罗艳1,陈平2   

  1. (1.中南财经政法大学财政税务学院,湖北武汉430073;2.桂林电子科技大学商学院,广西桂林541004)
  • 收稿日期:2017-09-20 修回日期:2017-09-20 出版日期:2018-03-25 发布日期:2018-03-29
  • 通讯作者: 罗艳
  • 作者简介:罗艳(1987-),女,广西桂林人,中南财经政法大学博士研究生,主要从事环境经济学、财政学研究;陈平(1988-),男,广西百色人,桂林电子科技大学讲师,经济学博士,主要从事人口、资源与环境经济学研究。
  • 基金资助:
    国家自然科学基金资助项目(71603281);国家社会科学基金资助项目(15BMZ080)。

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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摘要: 采用基于SBM的Global Malmquist-Luenberger(GML)指数方法测算了2005—2015年中国30个省级层面工业绿色创新效率,并采用面板门槛模型估计了环境规制对绿色创新效率的非线性关系。研究结果表明:我国绿色创新效率总体偏低,且呈现出“西-东-中”依次递减的格局;门槛回归表明在以经济发展水平、研发投入和所有制结构为门槛变量的条件下,环境规制对绿色创新效率均存在门槛效应,即环境规制对绿色创新效率的影响存在差异;产业结构对绿色创新效率的影响并不显著,对外开放有助于提高绿色创新效率,政府干预会抑制绿色创新效率的提高。

关键词: Global Malmquist-Luenberger, 绿色创新效率, 门槛效应, 环境规制

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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