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Statistical Analysis Of The Carbon Dioxide Emissions Factors

Posted on:2015-01-05Degree:MasterType:Thesis
Country:ChinaCandidate:D D WangFull Text:PDF
GTID:2181330452454545Subject:Applied statistics
Abstract/Summary:PDF Full Text Request
Beginning in the1990s, the climate issue has aroused the concern of the internationalcommunity, especially the greenhouse effect get more and more attention in variouscountries and regions around the world. December1997, the third meeting of the UnitedNations Framework on Climate Change Convention was held in Kyoto, Japan, themeeting formulated the "Kyoto Protocol of the United Nations Framework Convention onClimate Change"(abbreviation:"Kyoto Protocol"), whose goal was "to the atmospheregreenhouse gas concentrations stabilized at an appropriate level, thus preventing severeclimate change on human harm." Developed the "Kyoto Protocol" opened the prelude to alow-carbon economy, countries around the world will pay attention and emphasis onlow-carbon industry. China also made a commitment in Copenhagen:2020, China’scarbon dioxide emissions per unit of GDP than in2005dropped40%to50%.For the study of carbon dioxide emissions, the country has been a hot research paperon some domestic research results are briefly summarized finishing. In summarizing theresults of these studies, based on the proposed ideas, looking for data, and analyzeresearch. In this paper, the country’s carbon dioxide emissions as the research object, itselects the corresponding explanatory variables from demographic, economic, andenvironmental dimensions, selects from2000to2012of13sets of data for the researchand analysis of the study. The main idea of the paper is to establish the model, first withthe SAS software for data fitting equation and apply the reasonableness test methods testeconometric equations; Then Orthogonal Design Assistant software for data analysisportfolio, and to determine the make carbon dioxide emissions to a minimum optimalportfolio; Finally, this paper validate the optimal combination in order to confirm thevalidity of the findings.
Keywords/Search Tags:carbon dioxide emissions, SAS equation fitting, orthogonal experimentaldesign, econometric analysis, analysis of variance
PDF Full Text Request
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