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Estimation Of Green Total Factor Productivity Based On Carbon Cycle And Analysis Of Influencing Factors

Posted on:2021-01-13Degree:MasterType:Thesis
Country:ChinaCandidate:J L LiFull Text:PDF
GTID:2370330626458825Subject:Quantitative Economics
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The Yangtze River Economic Belt spans the three regions of East,Middle,and West of China.It connects the 21 st Century Maritime Silk Road to the east and the Silk Road Economic Belt to the west.It is a coordinated development belt for East,China,and West interaction and cooperation.The opening-up zone of coastal cities to the inside and outside is also a leading demonstration zone for the construction of ecological civilization.This means that the high-speed economic growth model that consumes a lot of resources and energy and causes environmental pollution needs to be transformed into a coordinated and parallel green development model of economic growth,resource conservation,and environmental protection in order to achieve high-quality economic development.Therefore,in the face of the new form and situation of the Yangtze River Economic Belt,analyze the growth source and internal mechanism of green total factor productivity of its economic-ecological system,grasp the spatiotemporal characteristics of green total factor productivity,and study the influence of various factors on green total factor productivity.The impact is of great significance to the sustainable economic development of the Yangtze River Economic Belt.On the basis of clear economic growth theory,green economy theory,carbon cycle theory and green total factor productivity theory,this paper finds and discusses that the existing research literature often ignores the endogenous role of carbon sinks when measuring green total factor productivity.limitation.Then,using the super-efficiency non-radial SBM model and the GML productivity index,the green total factor productivity based on the carbon cycle of the Yangtze River Economic Belt in 2004-2017 was measured and decomposed into technical progress and technical efficiency.Comparative analysis of green total factor productivity without considering ecological purification capacity(carbon sink).Finally,the spatial Durbin model is used to analyze the impact of seven variables including economic development level,environmental regulation,research and development level,and opening up on the green TFP of the Yangtze River Economic Belt,and the direct and indirect effects of each variable on green TFP.Shows:(1)The carbon sinks and CO2 emissions of the Yangtze River Economic Belt are increasing year by year.In terms of different regions,the carbon sequestration in the four provinces(Chongqing,Sichuan,Guizhou,and Yunnan)is quite different,and Sichuan and Yunnan rank first and second.Chongqing,as a municipality,has a lower area of forestation than other provinces and The existence of rocky desertification and other factors make the carbon sink low,ranking second to the bottom;Guizhou,because of karst landforms,rocky desertification,soil erosion and other factors,make the carbon sink to be low,ranking third to last;middle reaches(Anhui,Jiangxi,The carbon sinks of the four provinces in Hubei and Hunan are slightly different at the medium level,and the carbon sinks of the three provinces downstream(Shanghai,Jiangsu,Zhejiang)are at a relatively low level,especially the carbon sinks of Shanghai are in the Yangtze River Economic Belt.The extremely low level is mainly due to the characteristics of Shanghai's developed industries,high urbanization rate,and low forest and agricultural areas.The CO2 emissions are the lowest in the upstream,the second in the middle,and the highest in the downstream,which is just the opposite of the order of carbon sinks.It shows that the ecological environment in the economically-developed downstream areas has a small carrying capacity for greenhouse gases and large pollution emissions;the economically-developed upstream areas have a large carrying capacity for greenhouse gases and small pollution emissions.(2)Since 2004,GTFP based on expected output carbon sinks and local GDP are generally better than GTFP based on expected output local GDPs,mainly because the absence of carbon sinks underestimates the increase in technological efficiency.From the perspective of ecological economy,technological efficiency and technological progress are equally important to the growth of GTFP.From a regional perspective,after considering the carbon sink,the GTFP has been improved in both the upstream and midstream,with the midstream increasing the most,while the downstream does not rise but declines.This is closely related to the amount of carbon sinks in various regions.The overall high carbon sinks in the middle reaches have promoted the increase of GTFP,while the lower carbon sinks in the downstream regions have relatively weak ecological purification capacity,which has inhibited the growth of GTFP.(3)In terms of influencing factors,the direct effect coefficients of the level of economic development,environmental regulations,research and development,opening up and infrastructure are significant and positive at a given significant level,indicating that these factors have significantly promoted the growth of green total factor productivity.The indirect effect coefficient of the level of economic development is significantly negative,while the indirect effect coefficient of the level of research and development,opening up,and infrastructure is significantly positive;indicating that the level of research and development,opening up,and infrastructure have positive external spillover effects,and the level of economic development has negative external spillover effect.Based on the theoretical review and empirical test results,the following suggestions are made for the coordinated development of the Yangtze River Economic Belt to achieve economic growth,resource conservation and environmental protection:(1)Clarify the subject and boundary of property rights of the ecological environment and enrich its value in economic and social development;(2)Improve the efficiency of regional green development path optimization with differentiated strategies;(3)Reduce green development costs and support technological innovation Promote technological transformation;(4)Expand the market size to increase the contribution of competition in green development;(5)Reduce transaction costs in regional markets and promote green value exchanges.
Keywords/Search Tags:Yangtze River Economic Belt, Green total factor productivity, SBM model, Spatial Durbin model
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