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Study On Adjustment Of Industrial Structure Low Carbonization In Jilin Province

Posted on:2018-09-11Degree:MasterType:Thesis
Country:ChinaCandidate:Y T LiFull Text:PDF
GTID:2321330515471718Subject:Regional Economics
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At present,China is one of the world's largest carbon dioxide emitters.Although China's economic development is fairly good,due to the large amount of carbon dioxide emissions,China sees increasing international pressure on public opinion.Jilin Province is one of China's northeast old industrial base,and the main parts of its industrial structure are heavy industries of high energy-consuming and high-emissions.The modern service which is low energy-consuming,low-emissions,high value-added is developing slowly.Jilin Province's current economic growth is largely at the expense of its environment and energy.From 1994 to 2014,Jilin Province's carbon emission intensity has been pretty high in China.Therefore,Jilin Province must actively respond to the requirements of the times,to adjust the industrial structure to low-carbon transformation in today's society.Therefore,this paper combs the domestic and foreign institutions on the industrial structure of low-carbon adjustment path based on the existing literature.To "maintain growth,promote emission reduction" for the design goals,taking into account the correlation between industries,design of Jilin City Industrial Structure Optimization.Then,establish a multi-objective input-output optimization model,and analyze the two industrial structure optimization programs' effect of maintaining growth and promoting emission reductioncomparatively.According to the conclusions of the study,put forward the corresponding industrial policy recommendations to the local government.The main contents of this paper are as follows:Firstly,based on elaborate the research background and research significance of this topic,comb the domestic and foreign literature on the adjustment path of industrial structure and low carbonization.Then,determine the research framework of this paper and pointout the innovation and shortcomings of this article clearly.Secondly,under the guidance of the overall goal,the "maintain growth,promote emission reduction" goal,put forward that using the industry's economic correlation coefficient to measure the degree of economic correlation of the industry,and using the carbon emission correlation coefficient to measure the degree of carbon emissions associated with the industry.Thirdly,calculate the economic correlation coefficient and carbon emission correlation coefficient of 31 departments in Jilin Province in 2015.According to the calculation results,the design scheme is as follows: Program 1 is to control the food and tobacco sector,the development of the non-metallic mineral products sector and the transport,storage and postal services sector effectively.Fourth,establish a multi-objective input-output optimization model,and analyze the two industrial structure optimization programs' effect of maintaining growth and promoting emission reduction comparatively.According to the empirical research results,the following main conclusions are drawn:(1)In the same adjustment efforts,Program 1is better than Program 2 on the effect of maintaining growth and promoting emission reduction.(2)The greater the adjustment of the optimization program,the better the effect of carbon reduction.(3)The optimization path for Program 1 is to control the development of the food and tobacco sector effectively,allow a small increase in the share of transportation,warehousing and postal services,and maintain the existing level of the development of the non-metallic mineral products sector.In view of the empirical results,from thefour aspects put forward forpolicy recommendations,such as the promotion of the use of new energy vehicles,the promotion of the low-carbon transformation of food and tobacco sector,to strengthen the non-metallic mineral products industry environmental standards and to encourage the three industries of technological innovation.
Keywords/Search Tags:industrialstructurelow carbonization, industrial association, multi-objectiveinput-output optimization model
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