4.7 Article

Environmental regulation, industrial innovation and green development of Chinese manufacturing: Based on an extended CDM model

期刊

JOURNAL OF CLEANER PRODUCTION
卷 176, 期 -, 页码 895-908

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2017.12.034

关键词

Environmental regulation; Industrial innovation; Green total factor productivity; CDM model; Manufacturing industry

资金

  1. National Natural Science Foundation of China [71703171]
  2. Social Science Achievement Evaluation Committee of Hunan Province [XSP17YBZZ144]
  3. Colleges and Universities Innovation Platform Open Foundation of Hunan Province [16K106]

向作者/读者索取更多资源

As for the academics and policymakers, more attention has been given to the issue on how to drive green development of the manufacturing through regulations and innovations. We construct the extended Crepon-Duguet-Mairesse (CDM) model and employ the panel data of Chinese manufacturing industries during 2003-2014 to examine the effects of environmental regulation on industrial innovation and green development. The findings reveal that (1) in the long term, environmental regulation has crowded out R&D investment. (2) Environmental regulation has inhibited patent outputs so that the weak version of Porter hypothesis is not underpinned. (3) In the short term, environmental regulation has promoted the improvements of labor productivity, energy efficiency and environmental efficiency in the manufacturing industry excluding green total factor productivity (GINP), whereas in the long term, environmental regulation only has increased energy efficiency while it has obstructed labor productivity, which provides no support for the strong version of Porter hypothesis. (4) Different innovation outputs have distinct influences on labor productivity, energy efficiency, environmental efficiency and GTFP. Finally, this paper provides pertinent policy implications. (C) 2017 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据