An Input-output Model to Analyze Sector Linkages and CO2 Emissions

被引:7
|
作者
Ju Liping [1 ]
Chen Bin [2 ]
机构
[1] Beijing Normal Univ, State Key Lab Water Environm Simulat & Pollut Con, Sch Environm, Beijing 100875, Peoples R China
[2] Peking Univ, State Key Lab Turbulence & Complex Syst, Beijing, Peoples R China
关键词
input-output models; CO2; emissions; CO2 emission density; Chongqing; RESPONSIBILITY;
D O I
10.1016/j.proenv.2010.10.195
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
International negotiations of reducing CO2 emissions address the question of how to account annual CO2 emissions of each sector of one city. The aim of this study is to establish the CO2 inventories focused on the supply chain emissions of CO2 emissions form each sector, e. g. agriculture, industry, transportation and tertiary industry. And to categorize upstream emission sources to identify the significant sectors that contribute the most to climate change. Moreover, IO-LCA method is chosen to evaluate the upstream carbon footprint and carbon dioxide emissions intensity of 28 economic sectors of Chongqing from 2002 to 2007. CO2 emissions the top-3 of which includes Transportation Equipment, Smelting and Pressing of Metals, Electricity, Steam Production and Supply, and CO2 emissions density the top-3 of which includes Coal Mining and Dressing, Nonmetal Minerals Mining and Dressing, Petroleum, Coking and Nuclear Fuel Processing. (C) 2010 Published by Elsevier Ltd.
引用
收藏
页码:1841 / 1845
页数:5
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