Spatiotemporal Differentiation Characteristics And Influencing Factors Of Green Development Efficiency Of Inter Provincial Industry

Since the reform and opening up,China has become a large industrial country.Industrialization is an insurmountable development stage in China’s development path.The process of industrialization has not only brought economic development to China,but also impacted the balance of environment,resources and mankind.The green transformation of industry is imminent.However,the green transformation of China’s industry is not mature,and there is a lack of attention to the problems of resources and environment.Based on this,this paper uses non radial data envelopment analysis(DEA)model and Malmquist index model to calculate the industrial green development efficiency and spatial distribution of 30 provinces in China from 2006 to 2018 from static and dynamic perspectives,and uses spatial Dobbin model to study the influencing factors.Firstly,this paper understands the research status of green economy at home and abroad.Most scholars’ research on green development is limited to countries,regions and cities,and there are still deficiencies in the research on the industrial sector,so this paper focuses on the industrial sector.Then,it combs the literature on the research theory of industrial green development level,and finds that the non radial DEA model has prominent advantages in the study of industrial green development efficiency.Therefore,this paper calculates the static and dynamic efficiency of industrial green development through non radial DEA model and Malmquist index model.The results show that::(1)the average value of national industrial green development efficiency is0.3022,and its development potential is still huge,and there are great differences among regions;(2)The improvement of national industrial green development efficiency is mainly due to technological progress and innovation;(3)The total factor productivity of China’s industrial green development has always fluctuated in the range of[ 0.05,0.42 ],and there is a strong spatial dependence among provinces;(4)In the four high and low environmental matrices,the provinces show obvious "regional block" distribution,and there is no "Matthew effect".Finally,according to the relevant literature and the above research conclusions,the research hypotheses of eight factors affecting the level of industrial green development are put forward,and the eight hypotheses are studied by using spatial Dobbin model.It is concluded that the total effect of technical factors,structural factors and environmental regulation is significantly positive,which is the main driving force to promote the level of industrial green development.The promotion effect presents "environmental regulation >technical factors > structural factors",which shows that starting from the environmental direction and combined with high and new technology can solve the problems of industrial green development faster.According to the above research results,this paper provides an optimal solution for China’s industrial green development and pollutant emission reduction.Strengthen the prevention and control of industrial pollution according to local conditions;Strengthen the construction of environmental rule of law and improve the efficiency of governance;Strengthen green technology innovation and increase competitiveness for enterprise development;Vigorously develop high-tech industry and weaken the development of heavy industry;Promote the development of industrial Internet and promote the deep integration of manufacturing and information technology.