Does command-and-control regulation promote green innovation performance? Evidence from China's industrial enterprises

被引:344
作者
Tang, Kai [1 ]
Qiu, Yuan [2 ]
Zhou, Di [3 ]
机构
[1] Guangdong Univ Foreign Studies, Sch Econ & Trade, Guangzhou 510006, Peoples R China
[2] Guangdong Univ Foreign Studies, Sch Business, Guangzhou 510006, Peoples R China
[3] Guangdong Univ Foreign Studies, Sch Math & Stat, Guangzhou 510006, Peoples R China
关键词
Command-and-control regulation; Green innovation efficiency; Super-SBM DEA; DID; DDD; China; MARGINAL ABATEMENT COSTS; 11TH 5-YEAR PLAN; ENVIRONMENTAL-REGULATION; CO2; EMISSIONS; CARBON INTENSITY; EFFICIENCY; PRODUCTIVITY; IMPACT; POLICY; ENERGY;
D O I
10.1016/j.scitotenv.2019.136362
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Many developing countries including China have launched command-and-control regulation (CCR) to achieve sustainable development. However, we know little about whether CCR promotes green innovation performance. This study empirically analyses the impact of CCR, which is represented by China's eleventh Five-Year Plan (FYP) environmental regulation, on enterprise green innovation performance and use green innovation efficiency as the measure of innovation. Super-SBM DEA model, difference-in-differences (DID) and difference-in-difference-in-differences (DDD) methods are employed to investigate 496 industrial enterprises in China's A-share market for the 2002-2017 period. Moreover, we distinguish each treat group from the control group by using continuous variables and consider enterprise features in the analysis. The results find that, in general, the eleventh FYP environmental regulation negatively influences enterprise green innovation efficiency in a short-term through educingi-cash flows. More specifically, the eleventh FYP CCR generates a detrimental effect on small enterprises, state-owned enterprises, and enterprises in China's western and eastern regions. Overall, this empirical analysis suggests that the government should consider the effect of CCR on economy and focus on the heterogeneity of enterprises during designing environmental policies. (C) 2020 Elsevier B.V. All rights reserved.
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页数:10
相关论文
共 60 条
[1]   The antecedents of green innovation performance: A model of learning and capabilities [J].
Albort-Morant, Gema ;
Leal-Millan, Antonio ;
Cepeda-Carrion, Gabriel .
JOURNAL OF BUSINESS RESEARCH, 2016, 69 (11) :4912-4917
[2]   Environmental policies and productivity growth: Evidence across industries and firms [J].
Albrizio, Silvia ;
Kozluk, Tomasz ;
Zipperer, Vera .
JOURNAL OF ENVIRONMENTAL ECONOMICS AND MANAGEMENT, 2017, 81 :209-226
[3]  
[Anonymous], [No title captured]
[4]  
[Anonymous], 2020, ENVIRON TECHNOL, DOI DOI 10.1080/09593330.2018.1509137
[5]   Disentangling the causal structure behind environmental regulation [J].
Blohmke, Julian ;
Kemp, Rene ;
Turkeli, Serdar .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2016, 103 :174-190
[6]   Firm-level determinants of energy and carbon intensity in China [J].
Cao, Jing ;
Karplus, Valerie J. .
ENERGY POLICY, 2014, 75 :167-178
[7]   Comparative statics of a monopolistic firm facing price-cap and command-and-control environmental regulations [J].
Caputo, Michael R. .
ENERGY ECONOMICS, 2014, 46 :464-471
[8]   Environmental orientation and corporate performance: The mediation mechanism of green supply chain management and moderating effect of competitive intensity [J].
Chan, Ricky Y. K. ;
He, Hongwei ;
Chan, Hing Kai ;
Wang, William Y. C. .
INDUSTRIAL MARKETING MANAGEMENT, 2012, 41 (04) :621-630
[9]   The emissions reduction effect and technical progress effect of environmental regulation policy tools [J].
Cheng, Zhonghua ;
Li, Lianshui ;
Liu, Jun .
JOURNAL OF CLEANER PRODUCTION, 2017, 149 :191-205
[10]   R&D drivers and obstacles to innovation in the energy industry [J].
Costa-Campi, M. T. ;
Duch-Brown, N. ;
Garcia-Quevedo, J. .
ENERGY ECONOMICS, 2014, 46 :20-30