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Research On The Carbon Emissions Factor Decomposition And Reduction Potential Of Textile And Apparel Industry

Posted on:2017-01-11Degree:MasterType:Thesis
Country:ChinaCandidate:Y H MaFull Text:PDF
GTID:2309330482957803Subject:Business management
Abstract/Summary:PDF Full Text Request
As one of the most important industries in China, the energy consumption of China’s textile and apparel industry is in the first place, so it is important to analyze the influence factors and the potential of carbon emissions in the industry.Firstly, based on the estimation of carbon emissions, this paper analyzes the characteristics of carbon emissions, energy consumption and carbon emissions, and the relationship between carbon emissions and industrial GDP. Secondly, based on the modified Kaya formula, the paper analyzes the factors such as industrial scale, energy intensity, energy efficiency and so on. Finally, on the basis of the analysis of carbon emission reduction measures. The main conclusions of this paper are:(1)The carbon emissions in China’s textile and garment industry has been increasing year by year. carbon emissions in the textile industry occupies a large proportion, China’s textile and garment industry has the demand for energy-saving emission reduction;(2) In the contribution to carbon emissions, the proportion of coal and electricity are the larger, the natural gas is less;(3) Carbon emissions of textile and apparel industry and industry GDP have weak decoupling relationship;(4) GDP is the main reason for the increase of carbon emissions, the improvement of energy consumption per unit of GDP and carbon intensity of energy structure are beneficial to reduce carbon emissions;(5)Analysis of the potential of emission reduction, the amount of energy consumption per ton of energy increased by 100000000 yuan, China’s textile and garment industry to reduce carbon emissions by 3066 tons, by improving energy use efficiency has the potential to reduce carbon emissions.
Keywords/Search Tags:textile and garment industry, carbon emissions, carbon emission reduction, decoupling analysis, Kaya formula, environmental learning curve
PDF Full Text Request
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