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Investigation of a “coupling model” of coordination between low-carbon development and urbanization in China

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  • Song, Qijiao
  • Zhou, Nan
  • Liu, Tianle
  • Siehr, Stephanie A.
  • Qi, Ye

Abstract

Based on data from 30 provinces in China, this paper builds a coordination degree model and a coupling coordination degree model (CCDM) for a carbon emission-urbanization system (CUS) that explores how to achieve low-carbon development during a rapid urbanization phase. Scenario analyses and case study were applied to illustrate the results, which show five basic conclusions. 1) Low-carbon development doesn’t require eliminating energy consumption completely during urbanization 2) The average level of urbanization is relatively low owing to the large disparities among provinces and the provinces’ economic development. Though the development of low-carbon in the 30 provinces is generally rapid, the gap between the highest provinces and the lowest provinces is relatively large because of their different socio-economic features. 3) Much more attention should be paid to CO2 emissions per capita. The quality of public social service,the basic and medical insurance coverage for the elderly, the community service coverage in infrastructure and the green design during urban construction should be improved. 4) The coordination of CUS is closely related to the different development stages and geographic locations of each province. 5) For different types of provinces with different degrees of coupling coordination,there is a need to explore different development directions.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:enepol:v:121:y:2018:i:c:p:346-354
    DOI: 10.1016/j.enpol.2018.05.037
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    References listed on IDEAS

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    1. 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.
    2. 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.
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    2. Zhang, Qian & Shen, Juqin & Sun, Fuhua, 2021. "Spatiotemporal differentiation of coupling coordination degree between economic development and water environment and its influencing factors using GWR in China's province," Ecological Modelling, Elsevier, vol. 462(C).
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    7. Tao, Chang-Qi & Yi, Meng-Ying & Wang, Chang-Song, 2023. "Coupling coordination analysis and Spatiotemporal heterogeneity between data elements and green development in China," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 1-15.
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    9. Guoen Wei & Pingjun Sun & Zhenke Zhang & Xiao Ouyang, 2020. "The Coordinated Relationship between Investment Potential and Economic Development and Its Driving Mechanism: A Case Study of the African Region," Sustainability, MDPI, vol. 12(1), pages 1-19, January.
    10. Chenxi Li & Xing Gao & Bao-Jie He & Jingyao Wu & Kening Wu, 2019. "Coupling Coordination Relationships between Urban-industrial Land Use Efficiency and Accessibility of Highway Networks: Evidence from Beijing-Tianjin-Hebei Urban Agglomeration, China," Sustainability, MDPI, vol. 11(5), pages 1-23, March.
    11. Xuedong Liang & Qunxi Gong & Sipan Li & Siyuan Huang & Gengxuan Guo, 2023. "Regional agricultural sustainability assessment in China based on a developed model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8729-8752, August.
    12. Hao, Xiaoli & Deng, Feng, 2019. "The marginal and double threshold effects of regional innovation on energy consumption structure: Evidence from resource-based regions in China," Energy Policy, Elsevier, vol. 131(C), pages 144-154.
    13. Qiao, Renlu & Wu, Zhiqiang & Jiang, Qingrui & Liu, Xiaochang & Gao, Shuo & Xia, Li & Yang, Tianren, 2024. "The nonlinear influence of land conveyance on urban carbon emissions: An interpretable ensemble learning-based approach," Land Use Policy, Elsevier, vol. 140(C).
    14. Sung-Lin Hsueh & Yue Sun & Min-Ren Yan, 2019. "Conceptualization and Development of a DFuzzy Model for Low-Carbon Ecocities," Sustainability, MDPI, vol. 11(20), pages 1-15, October.
    15. Di Wang & Dong Jiang & Jingying Fu & Gang Lin & Jialun Zhang, 2020. "Comprehensive Assessment of Production–Living–Ecological Space Based on the Coupling Coordination Degree Model," Sustainability, MDPI, vol. 12(5), pages 1-18, March.
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