synergy green innovation effect;
green innovation subsidy;
carbon tax;
dynamic evolutionary game model;
DIRECTED TECHNICAL CHANGE;
RESEARCH-AND-DEVELOPMENT;
PRODUCT INNOVATION;
ECO-INNOVATION;
CLIMATE POLICY;
PERFORMANCE;
TRANSITION;
CHINA;
MODEL;
ENVIRONMENT;
D O I:
10.3390/su14063453
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
The economic uncertainty caused by COVID-19 has led governments around the world to attach more importance to green innovation to accomplish their carbon reduction schemes. To improve the green innovation encouraging effect of an environmental policy system, this study introduces a unit progressive carbon tax on the basis of a green innovation subsidy to discuss the synergy green innovation effect between them. We set up a dynamic evolutionary game model to analyze the respective influences of green innovation subsidies and an environmental policy system containing a unit progressive carbon tax on Low Carbon Technology (LCT) heterogeneous enterprises' endogenous green innovation strategies. The Evolutionary Stable Strategy analysis of dynamic game models demonstrate that there does exist a synergy green innovation effect between green innovation subsidies and unit carbon taxes. The numerical simulation shows that the synergy green innovation effect of green innovation subsidies and carbon taxes contains both an overlapping policy effect and a more significant green innovation stimulating effect on enterprises with high LCT. Additionally, the introduction of a carbon tax will increase enterprises' affordability on the green innovation cost coefficient. Furthermore, introducing a unit progressive carbon tax would also create additional stimulation for enterprises to pursue a larger carbon reduction amount for the carbon emission cost-saving advantage. Based on the synergy green innovation effect mentioned above, we also investigate the policy implications of varying the tax rate and subsidy proportion in different situations.
机构:
Qujing Normal Univ, Sch Econ & Management, Qujing 655000, Peoples R China
Yunnan Univ Finance & Econ, Sch Business Sch, Kunming 650000, Peoples R ChinaQujing Normal Univ, Sch Econ & Management, Qujing 655000, Peoples R China
Lu, Na
Zhou, Wei
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机构:
Yunnan Univ Finance & Econ, Sch Finance, Kunming 650000, Peoples R ChinaQujing Normal Univ, Sch Econ & Management, Qujing 655000, Peoples R China
机构:
Tsinghua Univ, Hang Lung Ctr Real Estate, Beijing, Peoples R China
Tsinghua Univ, Dept Construct Management, Beijing, Peoples R ChinaBeijing Normal Univ, Fac Geog Sci, Sch Geog, Beijing, Peoples R China
Long, Fenjie
Chen, Lei
论文数: 0引用数: 0
h-index: 0
机构:
Tsinghua Univ, Hang Lung Ctr Real Estate, Beijing, Peoples R China
Tsinghua Univ, Dept Construct Management, Beijing, Peoples R ChinaBeijing Normal Univ, Fac Geog Sci, Sch Geog, Beijing, Peoples R China
Chen, Lei
Li, Lei
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h-index: 0
机构:
Tsinghua Univ, Hang Lung Ctr Real Estate, Beijing, Peoples R China
Tsinghua Univ, Dept Construct Management, Beijing, Peoples R ChinaBeijing Normal Univ, Fac Geog Sci, Sch Geog, Beijing, Peoples R China
Li, Lei
Zheng, Longfei
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Normal Univ, Fac Geog Sci, Sch Geog, Beijing, Peoples R ChinaBeijing Normal Univ, Fac Geog Sci, Sch Geog, Beijing, Peoples R China
Zheng, Longfei
Mi, Zhifu
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机构:
UCL, Bartlett Sch Sustainable Construct, London WC1E 7HB, EnglandBeijing Normal Univ, Fac Geog Sci, Sch Geog, Beijing, Peoples R China
机构:
Sichuan Univ, 24 South Sect 1,Yihuan Rd, Chengdu, Sichuan, Peoples R ChinaSichuan Univ, 24 South Sect 1,Yihuan Rd, Chengdu, Sichuan, Peoples R China
Luo, Xiao
Zhang, Weiye
论文数: 0引用数: 0
h-index: 0
机构:
Sichuan Univ, 24 South Sect 1,Yihuan Rd, Chengdu, Sichuan, Peoples R ChinaSichuan Univ, 24 South Sect 1,Yihuan Rd, Chengdu, Sichuan, Peoples R China
机构:
Zhejiang Gongshang Univ, Sch Stat & Math, Hangzhou 310018, Peoples R ChinaZhejiang Gongshang Univ, Sch Stat & Math, Hangzhou 310018, Peoples R China
Lian, Ganghui
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机构:
Xu, Aiting
Zhu, Yuhan
论文数: 0引用数: 0
h-index: 0
机构:
Zhejiang Gongshang Univ, Sch Stat & Math, Hangzhou 310018, Peoples R China
Zhejiang Gongshang Univ, Collaborat Innovat Ctr Stat Data Engn Technol & Ap, Hangzhou 310018, Peoples R ChinaZhejiang Gongshang Univ, Sch Stat & Math, Hangzhou 310018, Peoples R China