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Urban Metabolism Of Carbon Emissions Based On Input-output Tables

Posted on:2020-01-23Degree:MasterType:Thesis
Country:ChinaCandidate:J Z LiFull Text:PDF
GTID:2381330578970134Subject:Engineering
Abstract/Summary:PDF Full Text Request
CO2 emissions induced by the expansion of economic scale and population brings a plenty of pressure on global warming and emission reduction.Hence,exploring the emission flows embodied in goods and services provides insights into the system's urban carbon metabolism with the comprehensive application of input-output analysis,linkage analysis and ecological network analysis.By transforming capital flows into physical flows,direct and indirect effects of carbon emission flows could be identified through ecological network analysis over a relatively long period from 2000 to 2015.The integral flow through the network experienced a remarkable increase during the investigated years.Unfolding the impacts of dynamic changes in intersectoral relations help to analyze the structural distribution and functional relationships within the system.Key carbon emission sectors with largest potential to reduce carbon emissions via changes in economic activities could be identified with the application of linkage analysis.Input-output table of 2035 was simulated with the application of RAS method.Furthermore,eight scenarios based on the prediction were developed to assess potential emission.GDP changes in 2035 under the condition of reducing the final demand of key emission sectors to varying degrees,which provide references on formulating the emission reduction policies under the premise of minimizing economic losses.The emission metabolic network of 2012 is established to explore the emission reduction strategies based on the input-output analysis.Specifically,Eff-Lorenz curve derived from the painting of Lorenz curve is developed to compare the efficiency of carbon emissions of various sectors which has been applied to Guangdong province to demonstrate its availability and benefit.It is revealed that carbon emissions mainly concentrated in the secondary and tertiary industries with electric power generation,manufacturing,domestic consumption and transportation ranking at the top.The competition relationship reveals good interactions while a mutualism relationship provides effective pathways to mitigate carbon emissions between pairwise sectors simultaneously.In Guangdong province,upgrading the clean combustion technology in electric power generation and energy extraction sectors would drive other sectors to cut emissions and adjusting the production structure of the construction sector also contribute to achieve this goal.The results are expected to provide corresponding and holistic reference for decision makers to develop the mitigation policies.
Keywords/Search Tags:carbon emission, urban metabolism, input-output tables, prediction, RAS method, network linkage analysis
PDF Full Text Request
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