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Carbon Emission Trends of Manufacturing and Influencing Factors in Jilin Province,China

Carbon Emission Trends of Manufacturing and Influencing Factors in Jilin Province, China
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摘要 This paper constructed a carbon emission identity based on five factors: industrial activity, industrial structure, energy inten- sity, energy mix and carbon emission parameter, and analyzed manufacturing carbon emission trends in Jilin Province at subdivided industrial level through Log-Mean Divisia Index (LMDI) method. Results showed that manufacturing carbon emissions of Jilin Province increased 1.304 ~ 107t by 66% between 2004 and 2010. However, 2012 was a remarkable year in which carbon emissions decreased compared with 2011, the first fall since 2004. Industrial activity was the most important factor for the increase of carbon emissions, while energy intensity had the greatest impact on inhibiting carbon emission growth. Despite the impact of industrial structure on carbon emissions fluctuated, its overall trend inhibited carbon emission growth. Further, influences of industrial structure became gradually stronger and surpassed energy intensity in the period 2009-2010. These results conclude that reducing energy intensity is still the main way for carbon emission reduction in Jilin Province, hut industrial structure can not be ignored and it has great potential. Based on the analyses, the way of manufacturing industrial structure adjustment for Jilin Province is put forward. This paper constructed a carbon emission identity based on five factors: industrial activity, industrial structure, energy intensity, energy mix and carbon emission parameter, and analyzed manufacturing carbon emission trends in Jilin Province at subdivided industrial level through Log-Mean Divisia Index(LMDI) method. Results showed that manufacturing carbon emissions of Jilin Province increased 1.304 × 107 t by 66% between 2004 and 2010. However, 2012 was a remarkable year in which carbon emissions decreased compared with 2011, the first fall since 2004. Industrial activity was the most important factor for the increase of carbon emissions, while energy intensity had the greatest impact on inhibiting carbon emission growth. Despite the impact of industrial structure on carbon emissions fluctuated, its overall trend inhibited carbon emission growth. Further, influences of industrial structure became gradually stronger and surpassed energy intensity in the period 2009–2010. These results conclude that reducing energy intensity is still the main way for carbon emission reduction in Jilin Province, but industrial structure can not be ignored and it has great potential. Based on the analyses, the way of manufacturing industrial structure adjustment for Jilin Province is put forward.
作者 YU Chao MA Yanji YU Chao;MA Yanji(Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences,Changchun 130102,China;University of Chinese Academy of Sciences,Beijing 100049,China)
出处 《Chinese Geographical Science》 SCIE CSCD 2016年第5期656-669,共14页 中国地理科学(英文版)
基金 Under the auspices of National Natural Science Foundation of China(No.41371135) Jilin Province Science and Technology Guide Plan Soft Science Project(No.20120635)
关键词 MANUFACTURING carbon emissions influencing factors Log-Mean Divisia Index (LMDI) industrial structure adjustment Jilin Province China 碳排放强度 吉林省 制造业 发展趋势 影响因素 产业结构调整 能源强度 中国
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