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Coupling analysis of China’s urbanization and carbon emissions: example from Hubei Province

Author

Listed:
  • Qi Li

    (Chinese Academy of Sciences)

  • Ya-Ni Wei

    (Chinese Academy of Sciences)

  • Yanfang Dong

    (China Earthquake Administration)

Abstract

Urbanization is a process of human production and lifestyle reform as the social productive forces reach a certain level. There is a very tight coupling relationship between urbanization and energy consumption as well as carbon emissions, e.g., mutual promotion or mutual restraint. Taking Hubei Province as an example, comparative analyses between urbanization and energy consumption as well as carbon emissions are conducted based on the data from 1990 to 2012; they can be observed roughly that the overall trend is basically consistent; and in recent years, after 2000, they all show rapid growth, indicating the strong correlation. In addition, the Logarithmic Mean Divisia Index (LMDI) method is applied to decompose the change in carbon emissions into some influencing factors caused by urbanization. The decomposition results show that economic development has the greatest positive effect on carbon emissions, and energy intensity contributes largely to carbon emission reduction; the contribution of energy mix and gross population is not absolute and obvious due to the small change during the period of 1990–2012. To harmonize the development of urbanization with low carbon emissions, the energy development pattern and carbon dioxide (CO2) capture, utilization, and storage (CCUS) strategy are proposed for Hubei Province. In the short term, new energy and renewable energy should be explored and developed, such as nuclear power and biomass, whereas for long-term interests, the development of CCUS will be a significant choice in the process of urbanization and industrialization.

Suggested Citation

  • Qi Li & Ya-Ni Wei & Yanfang Dong, 2016. "Coupling analysis of China’s urbanization and carbon emissions: example from Hubei Province," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 1333-1348, March.
  • Handle: RePEc:spr:nathaz:v:81:y:2016:i:2:d:10.1007_s11069-015-2135-6
    DOI: 10.1007/s11069-015-2135-6
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    4. Han Zhou & Jiejun Huang & Yanbin Yuan, 2017. "Analysis of the Spatial Characteristics of the Water Usage Patterns Based on ESDA-GIS: An Example of Hubei Province, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(5), pages 1503-1516, March.
    5. Zhang, Dong & Zheng, Yu & Wu, Jianghao & Li, Bingyang & Li, Jinping, 2020. "Annual energy characteristics and thermodynamic evaluation of combined heating, power and biogas system in cold rural area of Northwest China," Energy, Elsevier, vol. 192(C).
    6. Xu, Bin & Lin, Boqiang, 2016. "A quantile regression analysis of China's provincial CO2 emissions: Where does the difference lie?," Energy Policy, Elsevier, vol. 98(C), pages 328-342.
    7. Song, Qijiao & Zhou, Nan & Liu, Tianle & Siehr, Stephanie A. & Qi, Ye, 2018. "Investigation of a “coupling model” of coordination between low-carbon development and urbanization in China," Energy Policy, Elsevier, vol. 121(C), pages 346-354.
    8. Wang, Yanan & Li, Xinbei & Kang, Yanqing & Chen, Wei & Zhao, Minjuan & Li, Wei, 2019. "Analyzing the impact of urbanization quality on CO2 emissions: What can geographically weighted regression tell us?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 127-136.
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