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Relationship Between Carbon Emissions Of Quantitative Research Of Population Movement In Beijing

Posted on:2013-02-15Degree:MasterType:Thesis
Country:ChinaCandidate:Q HanFull Text:PDF
GTID:2241330377456304Subject:Population, resource and environmental economics
Abstract/Summary:PDF Full Text Request
The current global climate warming problem has already caused the extensive concern of the whole society, the development of low carbon economy and social and economic development of the new beacon, in order to further reveal the effects of carbon emission factors, to explore the development of low carbon economy road, This paper mainly studies about the relationship between the Population Transfer and Carbon Emission in Beijing. First of all, through the IPCC method to calculate the total Carbon Emission from1978to2009in Beijing, and the emissions for some kinds of energy consumption, as well as the emission from2005to2009in different of industry, urban and rural, production and consumption, in order to disclose a well acknowledge of the volume and structure of Carbon Emission for Beijing. And further summarizes its characteristics. Then, this paper analyzes the impact of carbon emission factors in Beijing, and by using the IPAT model, to its influencing factor undertakes quantitative analysis, the results showed:(1) GDP per capita is the most effect factor to the carbon emission;(2) the influence of population on carbon emission is the most effect factors;() industrial structure on the carbon impact is very significant, but the effect of the industrial structural adjustment has not yet appeared;(4) population urbanization on the carbon impact is bigger, and will continue for a long period of time;(5) representative of the technical factors with the carbon emissions intensity on carbon emissions have positive effects, namely technology progress in reducing carbon emissions. And it has carried on the detailed analysis and explanation.
Keywords/Search Tags:Carbon Emission, Energy Consumption, Population Structures, RidgeRegression
PDF Full Text Request
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