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Journal of Arid Land  2014, Vol. 6 Issue (2): 145-155    DOI: 10.1007/s40333-013-0242-3
Research Articles     
Changes in carbon dioxide emissions and LMDI-based impact factor decomposition: the Xinjiang Uygur autonomous region as a case
Li ZHANG1,2, Jun LEI1*, Xuan ZHOU3, XiaoLei ZHANG1, Wen DONG1, Yu YANG2,4
1 Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;
2 University of Chinese Academy of Sciences, Beijing 100049,China;
3 Department of Mathematics, Jinan University, Guangzhou 510632, China;
4 Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
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Abstract   Studies on carbon dioxide (CO2) emissions at provincial level can provide a scientific basis for the optimal use of energy and the formulation of CO2  reduction policies. We studied the variation of CO2 emissions of primary energy consumption and its influencing factors based on data in Xinjiang Uygur autonomous region from 1952 to 2008, which were calculated according to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories. Xinjiang’s CO2 emission process from 1952 to 2008 could be divided into five stages according to the growth rates of total amount of CO2  emissions and CO2 emission intensity. The impact factors were quantitatively analyzed using Logarithmic Mean Divisia Index (LMDI) method in each stage. Various factors, including government policies and technological progress related to the role of CO2  emissions, were comprehensively analyzed, and the internal rela-tionships among various factors were clarified. The results show that the contribution rates of various impact factors are different in each stage. Overall, economic growth and energy consumption intensity were the main driving factors for CO2  emissions. Since the implementation of the birth control policy, the driving force of population growth on the increase in CO2  emissions has slowly weakened. The energy consumption intensity was further affected by the industrial structure and energy consumption intensity of primary, secondary and tertiary industries, with the energy consumption intensity of the secondary industries and the proportion of secondary industries being the most important factors affecting the energy consumption intensity. Governmental policies and technological progress were also important factors that affected CO2  emissions.

Received: 01 June 2012      Published: 10 April 2014

This project was funded by the National Natural Science Foundation of China (41101159) and the Western Doctor Project of West Light Foundation of the Chinese Academy of Sciences (XBBS201009).

Corresponding Authors: Jun LEI     E-mail:
Cite this article:

Li ZHANG, Jun LEI, Xuan ZHOU, XiaoLei ZHANG, Wen DONG, Yu YANG. Changes in carbon dioxide emissions and LMDI-based impact factor decomposition: the Xinjiang Uygur autonomous region as a case. Journal of Arid Land, 2014, 6(2): 145-155.

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