| Promoting green economic and social development and promoting harmonious coexistence between human beings and nature has become a common understanding of national development in the new era.In the early stages of China’s economic development,attention was paid to the economy while ignoring the environment,resulting in a large amount of resource losses and serious environmental damage.However,with the steady growth of economic development and the continuous improvement of people’s living standards,the protection of the natural environment and the construction of ecological civilization have received increasing attention.The 20 th National Congress of the Communist Party of China pointed out that local governments are required to take a series of measures to promote the green transformation of China’s economic and social development,and promote ecological priority,conservation and intensive,green and low-carbon development.In order to solve the increasingly serious environmental pollution problem and ensure the healthy lives of the people,the country has continuously strengthened the importance of environmental protection and set clear policies.At the same time,governments at all levels have promulgated a series of policies to regulate natural resources and environmental pollution in order to protect the safety and health of the environment.Industry is the pillar of a country’s economic and social development.Optimizing the industrial production structure and promoting the "green" development of industry is the foundation for a country to achieve sustainable development.Based on this,studying the impact of environmental regulation policies on industrial green total factor productivity is of great significance for improving China’s green production level and promoting the coordinated development of environmental protection and economic growth.Based on data from 30 provinces(municipalities,autonomous regions)across the country(excluding Tibet,Hong Kong,Macao,and Taiwan)from 2010 to 2019,this thesis explores the mechanism of the impact of China’s interprovincial government environmental regulation policies on industrial green total factor productivity.Firstly,by reviewing relevant theories and research literature,it defines relevant concepts of environmental regulation policies and industrial green total factor productivity,and analyzes the relationship between the two.Secondly,it combs the environmental regulation policies of provincial and local governments through the DTM topic model,evaluates the environmental regulation policies using quantitative policy evaluation methods,and measures the level of industrial green total factor productivity of regions using the SBM-DDF model combined with the GML index.Then,by establishing a panel threshold model,this thesis studies the direct effects of three environmental regulation policy tools on industrial green total factor productivity,and introduces the interaction between policy tools and technological innovation,factor structure,and FDI to explore the indirect effects of environmental regulation policies on industrial green total factor productivity.Finally,taking into account the spatial correlation between regional environmental regulation policies and industrial green total factor productivity,we established a panel spatial Dubin model to investigate the spillover effects of environmental regulation policies on industrial green total factor productivity,expanding on earlier research.The key findings of this thesis are:(1)During the study period,the effectiveness of environmental regulation policies of provincial governments and the level of industrial green total factor productivity increased year by year,with significant differences between different regions,mainly manifested in the fact that the level of developed areas along the eastern coast is higher than that of backward areas in the central and western regions.(2)On the whole,the direct impact of environmental regulation policies on industrial green total factor productivity has a threshold effect and presents a positive "U" shape.Specifically,the three types of environmental regulation policy tools are shown as follows: the direct impact of command-andcontrol type on industrial green total factor productivity presents a positive "U" shape;the direct impact of publicity-and-guidance type presents an inverted "U" shape;Incentive environmental regulation has a significant linear promoting effect on industrial green total factor productivity.(3)The empirical results of indirect effects indicate that there is no transmission mechanism between command-and-control and publicity-and-guidance environmental regulation policy tools and technological innovation,while incentive environmental regulation policy tools can improve industrial green total factor productivity by promoting technological innovation levels;there are significant indirect effects between the three environmental regulation policy tools and the factor structure.Environmental regulation policies can reverse the upgrading of the factor structure,thereby enhancing industrial green total factor productivity;there are also significant indirect effects between the three environmental regulation policy tools and FDI.Environmental regulation policies can promote the improvement of industrial green total factor productivity by introducing environmentally friendly foreign capital enterprises.(4)According to the analysis results of the spatial Dubin model,the environmental regulation policy has a significant positive direct effect and positive spatial spillover effect on the industrial green total factor productivity of adjacent regions,which shows that the environmental regulation policy has obvious characteristics of cross-regional effect.That is,the intensity of environmental regulation in neighboring regions tends to develop in the same direction.Therefore,the spatial spillover effect of environmental regulation policies is promoting the overall green development of China’s industry.Finally,based on the results of empirical analysis,this thesis puts forward relevant suggestions and prospects for future research. |