详细信息
Environmental regulation and environmental productivity: The case of China ( SCI-EXPANDED收录 EI收录)
文献类型:期刊文献
英文题名:Environmental regulation and environmental productivity: The case of China
作者:Wang, Yan[1];Shen, Neng[2]
机构:[1]East China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China;[2]Soochow Univ, Sch Business, Suzhou 215021, Peoples R China
年份:2016
卷号:62
起止页码:758
外文期刊名:RENEWABLE & SUSTAINABLE ENERGY REVIEWS
收录:;EI(收录号:20162202433689);WOS:【SSCI(收录号:WOS:000379270600053),SCI-EXPANDED(收录号:WOS:000379270600053)】;
语种:英文
外文关键词:Environmental regulation; Environmental productivity; Global Malmquist Luenberge
摘要:Constrained by the dual mission of supporting industrial growth and reducing emissions, China's traditional, emission reduction-oriented environmental policies unavoidably face a dilemma. This study adopts the GML index to calculate China's industrial productivity by considering environmental factors. In addition, based on the assumption of industry heterogeneity, the author examines the non-linear relationship between China's environmental regulation and environmental productivity and calculated the optimal regulation environment for industries. According to this study, when impact of undesirable outputs (pollutant emissions) is considered, environmental regulation and environmental productivity are positively correlated, which to some degree validates the Porter Hypothesis. At present, environmental regulation has significant positive effects on clean production industries but shows a lag effect on pollution-intensive industries. The degree of environmental regulation and environmental productivity show an "inverted U"-shaped relation and display three thresholds. It should be noted, however, that the relationship between regulation and productivity may vary across industries. These findings have clear policy implications: rather than continually increasing the level of environmental regulation, the government should establish standards for individual industries that emphasize flexibility. (C) 2016 Elsevier Ltd. All rights reserved.
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