摘要
基于2004-2020年中国省级面板数据,采用面板二项式回归模型探究环境规制对区域创新水平的影响。结果表明:环境规制对全国区域创新水平的影响表现为先抑制后促进的“U”型特征,这一结论在规避内生性问题以及变换核心变量测度方式等稳健性检验后依然成立。在东、西部地区,环境规制对区域创新水平的影响和全国区域保持一致,但是在中部地区,环境规制对区域创新水平主要表现为抑制作用;在作用程度上,东部大于中西部。此外,产业结构、财政科技投入、研发人员、经济水平对区域创新具有不同程度的促进作用。因此,地方政府应因地制宜制定环境规制政策,同时要优化产业结构、增加科研投入,推动中国经济高质量发展。
Based on China’s provincial-level panel data from 2004 to 2020,this paper uses panel binomial regression model to explore the impact of environmental regulation on the level of regional innovation.The results show that the impact of environmental regulation on the level of regional innovation in China is characterized by a U-shaped pattern of inhibition before promotion,which is still valid after avoiding endogenous problems and in the robustness test of changing the measurement method of core variables.In terms of regional heterogeneity,in the eastern and western regions,the impact of environmental regulation on the level of regional innovation is consistent with that of the whole country,but in the central region,environmental regulation mainly suppresses the level of regional innovation;in view of the degree of function,the eastern region is greater than the central and western regions.In addition,industrial structure,financial investments in science and technology,R&D personnel,and economic level have different degrees of promoting effects on regional innovation.Therefore,local governments should formulate environmental regulation policies according to local conditions,optimize the industrial structure and increase investments in scientific research to promote the high-quality development of China’s economy.
作者
李刚
邵方
LI Gang;SHAO Fang(School of Economics,Anhui University of Finance and Economics,Bengbu 233030,China)
出处
《合肥工业大学学报(社会科学版)》
2023年第1期36-45,共10页
Journal of Hefei University of Technology(Social Sciences)
基金
安徽省高校人文社会科学研究重大项目(SK2020ZD001)
安徽财经大学研究生科研创新基金项目(ACYC2022463)。
关键词
区域创新
环境规制
技术型创新
普通型创新
“U”型
区域异质性
regional innovation
environmental regulation
technological innovation
ordinary innovation
U shape
regional heterogeneity