Research on the impact of environmental regulation and government support on green technology innovation
DOI:
https://doi.org/10.54691/bcpssh.v17i.661Keywords:
environmental regulation, government support, green technology innovation, spatial error model, threshold modelAbstract
Green technology innovation is an important guarantee for my country to achieve high-quality development in the new era. Taking the 2010-2018 Chinese provincial panel data as a sample, the spatial error model and the panel threshold model are used to study the impact of environmental regulation and government support on green technology innovation. The results show that: the green technology innovation in each province has certain spatial agglomeration characteristics, there is a knowledge spillover effect, the environmental regulation area has a positive impact on green technology innovation, and the government support has no significant impact; environmental regulation and government support have a threshold effect on green technology innovation. , the impact of the two on green technology innovation has a marginal diminishing effect; compared with environmental regulation, government R&D support can promote internal green technology innovation activities.
Downloads
References
He Xiaogang. Research on the optimal regulatory structure of green technology innovation——Based on the dual interaction effect of R&D support and environmental regulation[J]. Economic Management, 2014(11): 144-153.
Wang Linhui, Wang Hui, Dong Zhiqing. Compatibility policy conditions of economic growth and environmental quality—a test of policy bias effect from the perspective of environmental technology progress [J]. Management World, 2020(3): 39-60.
Mamuneas T P, Nadiri M I. Public R&D policies and cost behavior of the US manufacturing industries [J]. Journal of Public Economics, 1996(1): 57-81.
Kriechel B, Ziesemer T. The environmental Porter hypothesis: Theory, evidence, and amodel of timing of adoption [J]. Economics of Innovation and New Technology, 2009(3): 267-294.
Petroni G, Bigliardi B, Galati F. Rethinking the porter hypothesis: The under appreciated importance of value appropriation and pollution intensity [J]. Review of Policy Research, 2019(1): 121-140.
LANOIEP, PATRYM, LAJEUNESSER. Environmental regulation and productivity: testing the Porter Hypothesis[J]. Journal of productivity analysis, 2008, 30(2): 121-128.
Liu Wei, Tong Jian, Xue Jing. Industry heterogeneity, environmental regulation and industrial technology innovation [J]. Scientific Research Management, 2017(5): 1-11.
Tao Changqi, Ju Zexia. An Empirical Analysis of the Relationship between Financial Development, Environmental Regulation and Technological Innovation—Based on Panel Threshold Regression Model [J]. Journal of Jiangxi Normal University (Natural Science Edition), 2015(1): 27-33.
Chen Yongtai, Xu Hanyu, Xu Feng. Design of government R&D subsidy contract for green innovation of enterprises [J]. Journal of System Management, 2019(4): 717-724.
Xie Weimin, Tang Qingquan, Lu Shanshan. Government R&D Funding, Enterprise R&D Expenditure and Independent Innovation: Empirical Evidence from Chinese Listed Companies [J]. Financial Research, 2009 (6): 86-99.
Liu Jinru, Zeng Xianfeng, Zeng Qian. The impact of environmental regulation and government innovation subsidies on enterprise green product innovation [J]. Economics and Management Research, 2019(6): 106-118.
Li Yuanyuan, Li Guihua, Shao Wei, etc. The influence of government subsidy and environmental regulation on technological innovation investment[J]. Scientific Research, 2019(9): 1694-1701.
Wang Feihang, Guo Xiaoyan. Research on the optimal regulation interval of green technology innovation: Based on the dual policy combination of environmental regulation and government R&D subsidies [J]. Finance and Accounting Monthly, 2021(17):129-137.
HANSEN B E. Threshold effects in non-dynamic panels: estimation, testing, and inference[J]. Journal of econometrics, 1999, 93(2): 345-368.
LACH S. Do R&D subsidies stimulate or displace private R&D? Evidence from Israel[J]. The journal of industrial economics, 2002, 50(4): 369-390.
LEE E Y, CIN B C. The effect of risk-sharing government subsidy on corporate R&D investment: empirical evidence from Korea[J]. Technological forecasting and social change, 2010, 77(6): 881-890.






