Analysis Of The Spatial Differences And Influencing Factors Of China's Green Economic Efficiency

The shortage of resources and the deterioration of the environment have become one of the major obstacles to China's economic development.Therefore,people have to re-examine the adverse environmental impacts brought about by the economic development process.The more obvious the impediment of environmental pollution to economic development is,the urgent need for governance of the environment,and China's economic development model must be transformed.Because the original economic development model at the expense of the environment,deliberately pursued the speed of economic development,leading to more serious environmental pollution,it is necessary to seek a "economic-resources-environment" sustainable development model.Green economy efficiency considers the traditional factors such as labor and capital,and regards energy consumption as one of the input indicators.Waste water,sulfur dioxide,and solid waste generated by industry are undesired output and can be generated during economic development.The effective measurement of resource consumption is an indicator of the development relationship between the economy,resources,and the environment.This paper selects the SBM model to measure the efficiency of green economy in 30 provinces in China and analyzes the spatial differences in the efficiency of green economy.It also takes into account the spatial dependence of economic units,and uses spatial correlation test to verify China's There is indeed a positive correlation between the inter-provincial green economy efficiency,and then a spatial error model is established to analyze the impact of economic development level,industrial structure,education investment,energy consumption,foreign investment,and the level of science and technology on green economy efficiency.As far as time is concerned,most of the provinces in China have large regional differences in green economy efficiency.Most provinces have large fluctuations in green economy efficiency.The average value of green economy efficiency during the period from 2005 to 2015 was 0.78,of which the efficiency value was the lowest in 2015 and the highest in 2011,indicating that the balance between economic development and environmental protection in most provinces in China is declining.From a regional point of view,the value of the green economy efficiency of the eight regions is quite different.The green economy efficiency value of the southern coastal areas has been at the leading position before 2011,surpassed by the eastern coastal areas in2011,and the efficiency value of the southwest region is low.The efficiency of the green economy in the middle reaches of the Yellow River has fallen fastest.Using global and local correlation analysis,it is found that there is a positive spatial correlation between the inter-provincial green economy efficiency of China,and the green economy efficiency values of provinces and cities such as Zhejiang Province,Jiangsu Province,and Shanghai City show“high-high” agglomeration,Shanxi Province,Henan Province,and Shanxi Province.Provinces and other provinces show a low-low concentration of green economy efficiencyvalues.The spatial error model was selected through the LM test results,and the model was used to analyze the impact of the six major influencing factors on the green economic efficiency.From the perspective of resource and environment,taking the economic development level and industrial structure as the core explanatory variables,the empirical results show that foreign direct investment,industrial structure,and energy consumption have a significant positive role in promoting the efficiency of green economy,R&D research funding,and economic development level It has a significant negative inhibitory effect on green economic efficiency,and educational investment has not passed the significant level test.Finally,the policies and recommendations for improving the efficiency of green economy were put forward.