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[1]HAO Li,JIANG Chuang-ye,SUN Xian,et al.Impact Factors and Policy Implications of Carbon Emissions from Energy Consumption in Shaanxi Province[J].Research of Soil and Water Conservation,2013,20(06):326-332.

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Impact Factors and Policy Implications of Carbon Emissions from Energy Consumption in Shaanxi Province

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 20 Number of periods: 2013 06 Page number: 326-332 Column: Public date: 2013-12-28

Title:: Impact Factors and Policy Implications of Carbon Emissions from Energy Consumption in Shaanxi Province

Author(s):: HAO Li¹, JIANG Chuang-ye¹, SUN Xian¹, HE Hui-gen²; 1. Shanxi Province Climate Center, Xi’an 710015, China;
2. Chongqing Climate Center, Chongqing 401147, China

Keywords:: carbon emission; impact factors; LMDI; Shaanxi Province

CLC:: X24

DOI:: -

Abstract:: Based on the application of calculating method in carbon emission methods proposed by the IPCC, the overall and structures of carbon emission from energy consumption in Shaanxi Province during 1980—2010 have been systematically studied, and the stages of carbon emissions have been divided. Through the Logarithmic Mean Divisia Index (LMDI), the action level of impact factors of carbon emission has also been analyzed. The results show that: (1) the total and per capita carbon emission were increasing as N-shape curve during the 1980—2010, without considerations of other impact factors, the coal consumption was the major source of carbon emission, it could determine the total carbon emission and per capita carbon emission. During the 1980—2010, the carbon emission in Shaanxi Province experienced three stages: stage of low emission with rapid economic growth (1980—1996), stage of slowly decreasing emission with low economic growth (1996—2000), stage of rapid growth emission with increasing economic growth (2000—2010); (2) the major driver of carbon emissions was the economy output effect, whose contribution ratio reached up to 216.17%, followed by 9.72% of the industry structure, and 8.81% of the population scale effect; 3) the major constraint was the energy intensity effect, whose contribution ratio reached to -131.96%, and the energy structure effect showed a restraining effect, whose contribution ratio reached to -2.75%.

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