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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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    2. Miao, Yuang & Lu, Huixia & Cui, Shizhang & Zhang, Xu & Zhang, Yusheng & Song, Xinwang & Cheng, Haiying, 2024. "CO2 emissions change in Tianjin: The driving factors and the role of CCS," Applied Energy, Elsevier, vol. 353(PA).
    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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    5. 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.
    6. Kuşkaya, Sevda, 2022. "Residential solar energy consumption and greenhouse gas nexus: Evidence from Morlet wavelet transforms," Renewable Energy, Elsevier, vol. 192(C), pages 793-804.
    7. Zhou, Qiang & Liu, Yong & Qu, Shen, 2022. "Emission effects of China's rural revitalization: The nexus of infrastructure investment, household income, and direct residential CO2 emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).

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