How does environmental regulation promote green technology innovation in enterprises? A policy simulation approach with an evolutionary game

被引:28
作者
Zhang, Zhenhua [1 ,2 ]
Shi, Ke [3 ]
Gao, Yue [3 ]
Feng, Yanchao [3 ]
机构
[1] Lanzhou Univ, Sch Econ, Lanzhou, Peoples R China
[2] Lanzhou Univ, Inst Green Finance, Lanzhou, Peoples R China
[3] Zhengzhou Univ, Business Sch, Zhengzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
Incentive-based environmental regulation; green technology innovation; evolutionary game; policy simulation; PERFORMANCE; INFORMATION; HYPOTHESIS; EMISSIONS; IMPACT; TAX;
D O I
10.1080/09640568.2023.2276064
中图分类号
F0 [经济学]; F1 [世界各国经济概况、经济史、经济地理]; C [社会科学总论];
学科分类号
0201 ; 020105 ; 03 ; 0303 ;
摘要
To vividly illustrate the dynamic interactions between government and enterprise in China, a non-cooperative evolutionary game is employed. Simulations are conducted to examine the effectiveness of environmental regulations in promoting green technology involving multiple policy instruments for yielding the ideal outcome. In particular, numerical simulations are introduced to explore the asymptotic stability of various evolutionary stabilization strategies. It is shown that appropriate coordination of these policy instruments can improve policy effectiveness. The effect of increasing environmental tax collection combined with the gradual innovation special subsidy policies is more effective than separate policies. Moreover, under the necessary supervision intensity, the ideal evolutionarily stable equilibrium of incentive environmental regulation tools to promote enterprise green technology innovation is easier to achieve. Furthermore, three extended scenarios using the Porter hypothesis are investigated regarding enterprise innovation performance, intellectual property protection, and income tax collection.
引用
收藏
页码:979 / 1008
页数:30
相关论文
共 62 条
[11]   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
[12]   A step toward reducing air pollution in top Asian economies: The role of green energy, eco-innovation, and environmental taxes [J].
Chien, Fengsheng ;
Sadiq, Muhammad ;
Nawaz, Muhammad Atif ;
Hussain, Muhammed Sajjad ;
Tran, Tai Duc ;
Le Thanh, Tiep .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2021, 297
[13]   Does Corporate Social Responsibility Affect Information Asymmetry? [J].
Cui, Jinhua ;
Jo, Hoje ;
Na, Haejung .
JOURNAL OF BUSINESS ETHICS, 2018, 148 (03) :549-572
[14]   Mitigation pathways toward sustainable development: Is there any trade-off between environmental regulation and carbon emissions reduction? [J].
Danish ;
Ulucak, Recep ;
Khan, Salah Ud-Din ;
Baloch, Muhammad Awais ;
Li, Nan .
SUSTAINABLE DEVELOPMENT, 2020, 28 (04) :813-822
[15]   Industry innovation spending and openness to collaboration as levers for firm performance [J].
de Paris Caldas, Luiz Fernando ;
Paula, Fabio de Oliveira ;
van Aduard de Macedo-Soares, T. Diana L. .
EUROPEAN JOURNAL OF INNOVATION MANAGEMENT, 2019, 22 (04) :617-638
[16]   How does the industry mobility affect pollution industry transfer in China: Empirical test on Pollution Haven Hypothesis and Porter Hypothesis [J].
Dou, Jianmin ;
Han, Xu .
JOURNAL OF CLEANER PRODUCTION, 2019, 217 :105-115
[17]   Towards a green world: How do green technology innovations affect total-factor carbon productivity [J].
Du, Kerui ;
Li, Jianglong .
ENERGY POLICY, 2019, 131 :240-250
[18]   A hybrid evolutionary game-theoretic and system dynamics approach for analysis of implementation strategies of green technological innovation under government intervention [J].
Eghbali, Mohammad-Ali ;
Rasti-Barzoki, Morteza ;
Safarzadeh, Soroush .
TECHNOLOGY IN SOCIETY, 2022, 70
[19]   Intellectual Property Rights Protection, Ownership, and Innovation: Evidence from China [J].
Fang, Lily H. ;
Lerner, Josh ;
Wu, Chaopeng .
REVIEW OF FINANCIAL STUDIES, 2017, 30 (07) :2446-2477
[20]   Polymorphic Evolutionary Games and Non-Mendelian Genetics [J].
Fishman, Michael A. .
BULLETIN OF MATHEMATICAL BIOLOGY, 2020, 82 (02)