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Energy-related greenhouse gas emission features in China’s energy supply region: the case of Xinjiang

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  • Guo, Bin
  • Geng, Yong
  • Dong, Huijuan
  • Liu, Yaxuan

Abstract

Xinjiang Uygur Autonomous Region was selected for studying its energy-related greenhouse gas emission features due to its rich reserve of coal, crude oil and natural gas. First, GHG inventories in Xinjiang were presented in order to provide a holistic picture of its features and trajectories on energy-related GHG emission. Then, transferred GHG emission embodied in exported energy products was analyzed. Finally, the driving forces for energy-related GHG emission increment were uncovered by adopting a time series LMDI analysis. Results indicate that annual energy-related GHG emission increased stably after 2002 and reached 227.71 Mt CO2e in 2011. Fugitive GHG emission was an important contributor to Xinjiang׳s GHG emission, accounting for more than 8% of the total energy-related GHG emission in 2011. Transferred GHG emission embodied in exported energy products was up to 8.07 Mt CO2e in 2011, accounting for 3.54% of the total energy related GHG emission, indicating a shift of environmental pollution from other regions to Xinjiang. Decomposition analysis shows that economic activity effect was the key driving force for energy-related GHG emission increment in Xinjiang during 1995–2011 and intensity effect partially offset the energy-related GHG emission growth. Research findings propose that a comprehensive consideration on all the relevant aspects should be initiated so that appropriate mitigation policies can be raised by considering the local realities.

Suggested Citation

  • Guo, Bin & Geng, Yong & Dong, Huijuan & Liu, Yaxuan, 2016. "Energy-related greenhouse gas emission features in China’s energy supply region: the case of Xinjiang," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 15-24.
  • Handle: RePEc:eee:rensus:v:54:y:2016:i:c:p:15-24
    DOI: 10.1016/j.rser.2015.09.092
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    as
    1. Wang, Can & Chen, Jining & Zou, Ji, 2005. "Decomposition of energy-related CO2 emission in China: 1957–2000," Energy, Elsevier, vol. 30(1), pages 73-83.
    2. Liu, Zhu & Geng, Yong & Lindner, Soeren & Guan, Dabo, 2012. "Uncovering China’s greenhouse gas emission from regional and sectoral perspectives," Energy, Elsevier, vol. 45(1), pages 1059-1068.
    3. Diakoulaki, D. & Mavrotas, G. & Orkopoulos, D. & Papayannakis, L., 2006. "A bottom-up decomposition analysis of energy-related CO2 emissions in Greece," Energy, Elsevier, vol. 31(14), pages 2638-2651.
    4. Geng, Yong & Zhao, Hongyan & Liu, Zhu & Xue, Bing & Fujita, Tsuyoshi & Xi, Fengming, 2013. "Exploring driving factors of energy-related CO2 emissions in Chinese provinces: A case of Liaoning," Energy Policy, Elsevier, vol. 60(C), pages 820-826.
    5. Liang, Sai & Zhang, Tianzhu, 2011. "What is driving CO2 emissions in a typical manufacturing center of South China? The case of Jiangsu Province," Energy Policy, Elsevier, vol. 39(11), pages 7078-7083.
    6. Dong, Huijuan & Ohnishi, Satoshi & Fujita, Tsuyoshi & Geng, Yong & Fujii, Minoru & Dong, Liang, 2014. "Achieving carbon emission reduction through industrial & urban symbiosis: A case of Kawasaki," Energy, Elsevier, vol. 64(C), pages 277-286.
    7. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    8. Xi, Fengming & Geng, Yong & Chen, Xudong & Zhang, Yunsong & Wang, Xinbei & Xue, Bing & Dong, Huijuan & Liu, Zhu & Ren, Wanxia & Fujita, Tsuyoshi & Zhu, Qinghua, 2011. "Contributing to local policy making on GHG emission reduction through inventorying and attribution: A case study of Shenyang, China," Energy Policy, Elsevier, vol. 39(10), pages 5999-6010, October.
    9. Bi, Jun & Zhang, Rongrong & Wang, Haikun & Liu, Miaomiao & Wu, Yi, 2011. "The benchmarks of carbon emissions and policy implications for China's cities: Case of Nanjing," Energy Policy, Elsevier, vol. 39(9), pages 4785-4794, September.
    10. Liu, Zhu & Liang, Sai & Geng, Yong & Xue, Bing & Xi, Fengming & Pan, Ying & Zhang, Tianzhu & Fujita, Tsuyoshi, 2012. "Features, trajectories and driving forces for energy-related GHG emissions from Chinese mega cites: The case of Beijing, Tianjin, Shanghai and Chongqing," Energy, Elsevier, vol. 37(1), pages 245-254.
    11. Lindner, Soeren & Liu, Zhu & Guan, Dabo & Geng, Yong & Li, Xin, 2013. "CO2 emissions from China’s power sector at the provincial level: Consumption versus production perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 164-172.
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    2. Jiancheng Qin & Hui Tao & Chinhsien Cheng & Karthikeyan Brindha & Minjin Zhan & Jianli Ding & Guijin Mu, 2020. "Analysis of Factors Influencing Carbon Emissions in the Energy Base, Xinjiang Autonomous Region, China," Sustainability, MDPI, vol. 12(3), pages 1-15, February.
    3. Cui, Can & Shan, Yuli & Liu, Jianghua & Yu, Xiang & Wang, Hongtao & Wang, Zhen, 2019. "CO2 emissions and their spatial patterns of Xinjiang cities in China," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    4. Feng, Tian-tian & Yang, Yi-sheng & Xie, Shi-yan & Dong, Jun & Ding, Luo, 2017. "Economic drivers of greenhouse gas emissions in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 996-1006.
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    6. Arega, Tiruwork & Tadesse, Tewodros, 2017. "Household willingness to pay for green electricity in urban and peri-urban Tigray, northern Ethiopia: Determinants and welfare effects," Energy Policy, Elsevier, vol. 100(C), pages 292-300.
    7. Li, Hao & Zhao, Yuhuan & Qiao, Xiaoyong & Liu, Ya & Cao, Ye & Li, Yue & Wang, Song & Zhang, Zhonghua & Zhang, Yongfeng & Weng, Jianfeng, 2017. "Identifying the driving forces of national and regional CO2 emissions in China: Based on temporal and spatial decomposition analysis models," Energy Economics, Elsevier, vol. 68(C), pages 522-538.
    8. Jin Zhu & Huaping Sun & Dequn Zhou & Lin Peng & Chuanwang Sun, 2020. "Carbon emission efficiency of thermal power in different regions of China and spatial correlations," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1221-1242, October.

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