Do carbon emission trading schemes enhance enterprise green innovation efficiency? Evidence from China's listed firms

被引:37
作者
Zhou, Di [1 ]
Lu, Zihan [1 ]
Qiu, Yuan [1 ,2 ]
机构
[1] Guangdong Univ Foreign Studies, Sch Math & Stat, Guangzhou 510006, Peoples R China
[2] Guangdong Univ Foreign Studies, Guangzhou Higher Educ Mega Ctr, Guangzhou, Peoples R China
关键词
China's carbon emission trading schemes; Difference-in-difference-in-differences method; Enterprise green innovation efficiency; Market-based regulation; Porter hypothesis; NATURAL EXPERIMENT; MARKET; LIQUIDITY; IMPACTS; PRODUCT; SECTOR;
D O I
10.1016/j.jclepro.2023.137668
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Under the imperatives of economic improvement and environmental protection, green innovation efficiency has garnered increased global interest. This study explores the effects of China's carbon emission trading scheme (CETS) on firm green innovation efficiency (GIE) through Super-Slack Based Model Data Envelopment Analysis, the difference-in-difference-in-differences method, the mediation effect model, and the instrumental variablestwo stage least square model. An empirical analysis of data from China's A-share listed corporations between 2007 and 2017 is conducted, based on the Porter hypothesis. The main results show that CETS positively impacts enterprises' GIE, indicating that weak Porter hypothesis can be observed in China. This outcome is still valid after robustness tests. Further analyses demonstrate that: (1) China's CETS enhances enterprises' GIE by encouraging green product innovation; (2) the promoting effect of China's CETS on enterprises' GIE will be significantly enhanced with the improvement of carbon market liquidity; (3) China's CETS has a significant positive impact on the GIE of small enterprises, firms with weak political relevance, and corporations that are located in regions where policy pressure is high. This study provides an evaluation of the policy effectiveness of China's CETS at a micro-level and offers statistical support and specific policy recommendations to improve the CETS.
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页数:15
相关论文
共 82 条
[1]   Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California's Tobacco Control Program [J].
Abadie, Alberto ;
Diamond, Alexis ;
Hainmueller, Jens .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2010, 105 (490) :493-505
[2]   Ensuring that offsets and other internationally transferred mitigation outcomes contribute effectively to limiting global warming [J].
Allen, Myles ;
Tanaka, Katsumasa ;
Macey, Adrian ;
Cain, Michelle ;
Jenkins, Stuart ;
Lynch, John ;
Smith, Matthew .
ENVIRONMENTAL RESEARCH LETTERS, 2021, 16 (07)
[3]   2-STAGE INSTRUMENTAL VARIABLE ESTIMATORS FOR THE NONLINEAR ERRORS-IN-VARIABLES MODEL [J].
AMEMIYA, Y .
JOURNAL OF ECONOMETRICS, 1990, 44 (03) :311-332
[4]   THE MODERATOR MEDIATOR VARIABLE DISTINCTION IN SOCIAL PSYCHOLOGICAL-RESEARCH - CONCEPTUAL, STRATEGIC, AND STATISTICAL CONSIDERATIONS [J].
BARON, RM ;
KENNY, DA .
JOURNAL OF PERSONALITY AND SOCIAL PSYCHOLOGY, 1986, 51 (06) :1173-1182
[5]  
Benz E.A., 2008, FINANCE INT M AFFI E
[6]   REGULATION AS A MEANS FOR THE SOCIAL-CONTROL OF TECHNOLOGY [J].
BRAUN, E ;
WIELD, D .
TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT, 1994, 6 (03) :259-272
[7]   Cash holdings and R&D smoothing [J].
Brown, James R. ;
Petersen, Bruce C. .
JOURNAL OF CORPORATE FINANCE, 2011, 17 (03) :694-709
[8]   Does environmental regulation drive away inbound foreign direct investment? Evidence from a quasi-natural experiment in China [J].
Cai, Xiqian ;
Lu, Yi ;
Wu, Mingqin ;
Yu, Linhui .
JOURNAL OF DEVELOPMENT ECONOMICS, 2016, 123 :73-85
[9]   Building University-Industry Co-Innovation Networks in Transnational Innovation Ecosystems: Towards a Transdisciplinary Approach of Integrating Social Sciences and Artificial Intelligence [J].
Cai, Yuzhuo ;
Ferrer, Borja Ramis ;
Lastra, Jose Luis Martinez .
SUSTAINABILITY, 2019, 11 (17)
[10]   The impacts of liquidity dynamics on emissions allowances price: Different evidence from China's emissions trading pilots [J].
Chang, Kai ;
Lu, Shibao ;
Song, Xiayun .
JOURNAL OF CLEANER PRODUCTION, 2018, 183 :786-796