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Research On The Dynamic Changes And Driving Factors On Carbon Productivity Of Different Industries In China

Posted on:2015-06-22Degree:MasterType:Thesis
Country:ChinaCandidate:J J YuFull Text:PDF
GTID:2309330431450567Subject:Applied Economics
Abstract/Summary:PDF Full Text Request
The stability of carbon emission and sustainability of economic growth are twokey factors of low-carbon development. It is meaningful to promote both energyefficiency and carbon productivity in the carbon reduction work. In this paper, wefirstly calculate China’s carbon emissions and carbon productivity from2002to2012by input-output model. Then we observe the dynamic feature of carbon productivityby decoupling analysis and convergence test. Finally the decomposition model andSTIRPAT model were built to analyze the influencing factors of carbon productivity,which aimed at supporting the dematerialization compatible development.The results showed that:(1) General trend of carbon emissions from2002to2012is rising, and the industrial sectors are still main contributors. The overall level ofcarbon productivity is not high, and a converse U shape trend has showed. Besides,significant differences exist in the different industries, and the service industry has arelatively higher level in general.(2)Carbon productivity can approximately equal tothe sum of annual economic growth rate and the annual carbon emission reductionrate. As a developing country, China first needs to offset carbon emissions caused byeconomic growth or reduce existing carbon emission levels with output unchanged.(3)The decoupling state basically showed weak decoupling-growth links switchingregularity. The service industry is better in general.(4)Convergence test resultsindicate the absolute convergence between our whole sectors group and inefficientsectors group. Carbon productivity index will eventually become a standardizedindicator.(5)The decomposition result showed that economic efficiency andtechnolopy efficiency factors have positive roles in promoting carbon productivity,while the impact of energy effect is negative.(6)The empirical analysis indicated thattechnological progress, growth of employment, wealth per capita and industrialstructure evolution would raise carbon productivity, while the existing energy willplay an inhibitory effect. Among them, the energy structure has the highest degree ofinfluence, followed by technical progress factor.(7)In the future, China should focuson the effective control of carbon emissions and encourage the development of lowemissions-high efficiency industries.
Keywords/Search Tags:Carbon Productivity, Decoupling Analysis, Convergence Test, FactorDecomposition, STIRPAT model
PDF Full Text Request
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