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Residential Energy-Related CO 2 Emissions in China’s Less Developed Regions: A Case Study of Jiangxi

Author

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  • Yong Yang

    (Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang 330022, China
    School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China)

  • Junsong Jia

    (Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang 330022, China
    School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China)

  • Chundi Chen

    (College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China)

Abstract

The residential sector is the second-largest consumer of energy in China. However, little attention has been paid to reducing the residential CO 2 emissions of China’s less developed or undeveloped regions. Taking Jiangxi as a case study, this paper thus aims at fully analyzing the difference of the residential energy-related CO 2 emissions between urban and rural regions based on the Log-Mean Divisia Index (LMDI) and Tapio decoupling model. The main results are showed as follows: (1) Since 2008, residential energy-related CO 2 emissions have increased rapidly in both urban and rural Jiangxi. From 2000 to 2017, the residential energy-related CO 2 emissions per capita in rural regions rapidly increased and exceeded that in urban regions after 2015. Furthermore, the residential energy structures had become multiple in both urban and rural regions, but rural regions still had room to optimize its energy structure. (2) Over the study period, consumption expenditure per capita played the dominant role in increasing the residential energy-related CO 2 emissions in both urban and rural regions, followed by energy demand and energy structure. Energy price had the most important effect on decreasing the urban and rural residential energy-related CO 2 emissions, followed by the carbon emission coefficient. However, urbanization increased the urban residential energy-related CO 2 emissions but decreased the CO 2 emissions in rural regions. Population made marginal and the most stable contribution to increase the residential energy-related CO 2 emissions both in urban and rural regions. (3) Overall, the decoupling status showed the weak decoupling (0.1) and expansive negative decoupling (1.21) in urban and rural regions, respectively.

Suggested Citation

  • Yong Yang & Junsong Jia & Chundi Chen, 2020. "Residential Energy-Related CO 2 Emissions in China’s Less Developed Regions: A Case Study of Jiangxi," Sustainability, MDPI, vol. 12(5), pages 1-28, March.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:5:p:2000-:d:328877
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    as
    1. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    2. Feng, Zhen-Hua & Zou, Le-Le & Wei, Yi-Ming, 2011. "The impact of household consumption on energy use and CO2 emissions in China," Energy, Elsevier, vol. 36(1), pages 656-670.
    3. Fan, Jing-Li & Zhang, Yue-Jun & Wang, Bing, 2017. "The impact of urbanization on residential energy consumption in China: An aggregated and disaggregated analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 220-233.
    4. Tapio, Petri, 2005. "Towards a theory of decoupling: degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001," Transport Policy, Elsevier, vol. 12(2), pages 137-151, March.
    5. Yang, Lin & Yang, Yuantao & Zhang, Xian & Tang, Kai, 2018. "Whether China's industrial sectors make efforts to reduce CO2 emissions from production? - A decomposed decoupling analysis," Energy, Elsevier, vol. 160(C), pages 796-809.
    6. Qiang Wang & Rongrong Li & Rui Jiang, 2016. "Decoupling and Decomposition Analysis of Carbon Emissions from Industry: A Case Study from China," Sustainability, MDPI, vol. 8(10), pages 1-17, October.
    7. Shonali Pachauri, 2014. "Household electricity access a trivial contributor to CO2 emissions growth in India," Nature Climate Change, Nature, vol. 4(12), pages 1073-1076, December.
    8. Tian, Xin & Chang, Miao & Lin, Chen & Tanikawa, Hiroki, 2014. "China’s carbon footprint: A regional perspective on the effect of transitions in consumption and production patterns," Applied Energy, Elsevier, vol. 123(C), pages 19-28.
    9. Lin Boqiang & Kui Liu, 2017. "Using LMDI to Analyze the Decoupling of Carbon Dioxide Emissions from China’s Heavy Industry," Sustainability, MDPI, vol. 9(7), pages 1-16, July.
    10. Nie, Hongguang & Kemp, René, 2014. "Index decomposition analysis of residential energy consumption in China: 2002–2010," Applied Energy, Elsevier, vol. 121(C), pages 10-19.
    11. Ren, Shenggang & Fu, Xiang & Chen, XiaoHong, 2012. "Regional variation of energy-related industrial CO2 emissions mitigation in China," China Economic Review, Elsevier, vol. 23(4), pages 1134-1145.
    12. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    13. Shao, Shuai & Yang, Lili & Yu, Mingbo & Yu, Mingliang, 2011. "Estimation, characteristics, and determinants of energy-related industrial CO2 emissions in Shanghai (China), 1994-2009," Energy Policy, Elsevier, vol. 39(10), pages 6476-6494, October.
    14. Ang, B. W. & Liu, F. L. & Chew, E. P., 2003. "Perfect decomposition techniques in energy and environmental analysis," Energy Policy, Elsevier, vol. 31(14), pages 1561-1566, November.
    15. Fan, Jing-Li & Liao, Hua & Liang, Qiao-Mei & Tatano, Hirokazu & Liu, Chun-Feng & Wei, Yi-Ming, 2013. "Residential carbon emission evolutions in urban–rural divided China: An end-use and behavior analysis," Applied Energy, Elsevier, vol. 101(C), pages 323-332.
    16. Shao, Shuai & Yang, Lili & Gan, Chunhui & Cao, Jianhua & Geng, Yong & Guan, Dabo, 2016. "Using an extended LMDI model to explore techno-economic drivers of energy-related industrial CO2 emission changes: A case study for Shanghai (China)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 516-536.
    17. Zhao, Xiaoli & Li, Na & Ma, Chunbo, 2012. "Residential energy consumption in urban China: A decomposition analysis," Energy Policy, Elsevier, vol. 41(C), pages 644-653.
    18. Donglan, Zha & Dequn, Zhou & Peng, Zhou, 2010. "Driving forces of residential CO2 emissions in urban and rural China: An index decomposition analysis," Energy Policy, Elsevier, vol. 38(7), pages 3377-3383, July.
    19. Omer, Abdeen Mustafa, 2008. "Energy, environment and sustainable development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(9), pages 2265-2300, December.
    20. Zhang, Ming & Song, Yan & Li, Peng & Li, Huanan, 2016. "Study on affecting factors of residential energy consumption in urban and rural Jiangsu," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 330-337.
    21. Ang, B.W. & Liu, Na, 2007. "Handling zero values in the logarithmic mean Divisia index decomposition approach," Energy Policy, Elsevier, vol. 35(1), pages 238-246, January.
    22. Zhu, Qin & Peng, Xizhe & Wu, Kaiya, 2012. "Calculation and decomposition of indirect carbon emissions from residential consumption in China based on the input–output model," Energy Policy, Elsevier, vol. 48(C), pages 618-626.
    23. Lijun Zhang & Caiyun Kou & Ji Zheng & Yu Li, 2018. "Decoupling Analysis of CO 2 Emissions in Transportation Sector from Economic Growth during 1995–2015 for Six Cities in Hebei, China," Sustainability, MDPI, vol. 10(11), pages 1-15, November.
    24. Michael Grubb & Fu Sha & Thomas Spencer & Nick Hughes & Zhongxiang Zhang & Paolo Agnolucci, 2015. "A review of Chinese CO 2 emission projections to 2030: the role of economic structure and policy," Climate Policy, Taylor & Francis Journals, vol. 15(sup1), pages 7-39, December.
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    3. Cheng, Shulei & Wang, Ping & Chen, Boyang & Fan, Wei, 2022. "Decoupling and decomposition analysis of CO2 emissions from government spending in China," Energy, Elsevier, vol. 243(C).
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    7. Hui Liu & Jiwei Liu & Qun Li, 2022. "Asymmetric Effects of Economic Development, Agroforestry Development, Energy Consumption, and Population Size on CO 2 Emissions in China," Sustainability, MDPI, vol. 14(12), pages 1-34, June.

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