ESG performance and green innovation: An investigation based on quantile regression

被引:127
作者
Long, Han [1 ]
Feng, Gen-Fu [1 ]
Gong, Qiang [2 ]
Chang, Chun-Ping [3 ]
机构
[1] Xi An Jiao Tong Univ, Sch Econ & Finance, Xian, Shaanxi, Peoples R China
[2] Zhongnan Univ Econ & Law, Wenlan Sch Business, Wuhan, Peoples R China
[3] Shih Chien Univ, Taipei, Taiwan
关键词
green innovation; national ESG performance; quantile regression; RESEARCH-AND-DEVELOPMENT; PRODUCT INNOVATION; SUSTAINABLE DEVELOPMENT; CORPORATE GOVERNANCE; EMPIRICAL-EVIDENCE; ECO-INNOVATION; LEVEL EVIDENCE; CORRUPTION; MANAGEMENT; IMPACT;
D O I
10.1002/bse.3410
中图分类号
F [经济];
学科分类号
02 ;
摘要
Using panel data from 37 countries from 1990 to 2019 and applying a quantile regression approach with panel fixed effects, we investigate the impact of national Environmental, Social, and Governance (ESG) performance on green innovation and how this impact varies across different green innovation capacity distributions. The research conclusions are as follows. (1) National ESG performance improvement significantly promotes green innovation. (2) The improvement of environmental performance and governance performance significantly promotes green innovation, but in countries with weak green innovation capabilities, the improvement of social performance reduces the output of green innovation. (3) The role of national ESG performance in promoting green innovation is stronger in countries with weak green innovation capabilities. (4) In non-high-income countries, the stronger the green innovation capability is, the more obvious is the promotion of ESG performance to green innovation. The findings of this paper provide empirical evidence and a policy basis for governments to focus on improving ESG performance and to commit to promoting green innovation activities more effectively.
引用
收藏
页码:5102 / 5118
页数:17
相关论文
共 121 条
[11]   Can direct environmental regulation promote green technology innovation in heavily polluting industries? Evidence from Chinese listed companies [J].
Cai, Xiang ;
Zhu, Bangzhu ;
Zhang, Haijing ;
Li, Liang ;
Xie, Meiying .
SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 746
[12]   Every Little Helps? ESG News and Stock Market Reaction [J].
Capelle-Blancard, Gunther ;
Petit, Aurelien .
JOURNAL OF BUSINESS ETHICS, 2019, 157 (02) :543-565
[13]   Exploring antecedents of innovations for small- and medium-sized enterprises' environmental sustainability: An interpretative framework [J].
Castellano, Rosalia ;
Punzo, Gennaro ;
Scandurra, Giuseppe ;
Thomas, Antonio .
BUSINESS STRATEGY AND THE ENVIRONMENT, 2022, 31 (04) :1730-1748
[14]   Pursuing supply chain sustainable development goals through the adoption of green practices and enabling technologies: A cross-country analysis of LSPs [J].
Centobelli, Piera ;
Cerchione, Roberto ;
Esposito, Emilio .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2020, 153
[15]   Planned economic growth and controlled energy demand: How do regional growth targets affect energy consumption in China? [J].
Chai, Jingxia ;
Wu, Haitao ;
Hao, Yu .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2022, 185
[16]   The moderating effect of environmental dynamism on green product innovation and performance [J].
Chan, Hing Kai ;
Yee, Rachel W. Y. ;
Dai, Jing ;
Lim, Ming K. .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2016, 181 :384-391
[17]   Mode and Mechanism of Green Innovation Based on User Involvement Electronic Platform under Chinese Green Education Context [J].
Chen, Yun ;
Liu, Jia ;
Li, Yanan ;
Wang, Wei .
EURASIA JOURNAL OF MATHEMATICS SCIENCE AND TECHNOLOGY EDUCATION, 2017, 13 (10) :6619-6634
[18]   Opportunities and challenges for a sustainable energy future [J].
Chu, Steven ;
Majumdar, Arun .
NATURE, 2012, 488 (7411) :294-303
[19]   Drivers of green and non-green innovation: empirical evidence in Low-Tech SMEs [J].
Cuerva, Maria C. ;
Triguero-Cano, Angela ;
Corcoles, David .
JOURNAL OF CLEANER PRODUCTION, 2014, 68 :104-113
[20]   Lost in Transition? Drivers and Barriers in the Eco-innovation Road to the Circular Economy [J].
de Jesus, Ana ;
Mendonca, Sandro .
ECOLOGICAL ECONOMICS, 2018, 145 :75-89