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Research On The Influence Of Environmental Regulation On Green Total Factor Productivity In Manufacturing Industry

Posted on:2022-01-31Degree:MasterType:Thesis
Country:ChinaCandidate:Y H QiaoFull Text:PDF
GTID:2480306320464844Subject:Industrial Economics
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At present,China’s economic growth has entered a medium-high speed stage,the contradiction between energy supply and demand is prominent,environmental pollution is aggravated,and the task of environmental protection is arduous.To solve these problems,an in-depth study on the impact of environmental regulation on green total factor productivity(GTFP)of manufacturing industry has certain value and significance.Therefore,in this paper,based on spatial econometric model,Systematically analyze the impact of environmental regulation on green total factor productivity of manufacturing industry and its spatial differences.It can provide reference for the direction of environmental regulation reform and the optimal combination of environmental regulation,improve the efficiency of environmental regulation,promote the growth of green total factor productivity of manufacturing industry,and realize the coordinated,sustainable and healthy development of manufacturing industry at the provincial level.On the basis of summarizing domestic and foreign literatures on environmental regulation,green total factor productivity and their relationship,this paper analyzes the mechanism of command-and-control,incentive and public participation environmental regulation on green total factor productivity respectively.Secondly,analyzes the current situation of China’s environmental regulation,manufacturing industry and regional development.Then,DEA-Malmquist method is used to measure the green total factor productivity of manufacturing industry in 30 provinces,cities and districts except Hong Kong,Macao,Taiwan and Xizang from 2009 to 2017,and the spatiotemporal variation of green total factor productivity in China’s manufacturing industry is also analyzed.Finally,the spatial error model is used to test the impact of environmental regulation on green total factor productivity of manufacturing industry,and the empirical results are analyzed and illustrated.The results show that :(1)The implementation intensity of environmental regulation varies greatly among regions,and the development level of manufacturing industry varies greatly among provinces and cities and among subdivided industries.There is an imbalance in the development of regional and internal structure of manufacturing industry.(2)The green total factor productivity of the overall manufacturing industry in China fluctuates to a certain extent,with more ineffective years and obvious regional differences.Technological progress plays a major role in the change of the green total factor productivity of the manufacturing industry in most regions.(3)Different types of environmental regulations have different impacts on the green total factor productivity of manufacturing.Command-and-control environmental regulations and incentive environmental regulations hinder the green total factor productivity of manufacturing,while public participation environmental regulations promote the green total factor productivity of manufacturing.The spatial spillover effect of green total factor productivity in manufacturing is also very obvious.Therefore,in order to realize the green development of the manufacturing industry,improve the implementation efficiency of environmental regulations,promote the growth of green total factor productivity of the manufacturing industry,and realize the coordinated,sustainable and healthy development between provinces,It is proposed to develop synergistically and give play to the spatial spillover effect of green total factor productivity in manufacturing industry.We should take measures in line with local conditions and play the role of different types of environmental regulation.Raise manufacturing industry innovation level and open to the outside world level.
Keywords/Search Tags:manufacturing, green total factor productivity, spatial error model, environmental regulation
PDF Full Text Request
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