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Discovering the patterns of energy consumption, GDP, and CO2 emissions in China using the cluster method

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  • Gong, Bing
  • Zheng, Xiaochen
  • Guo, Qing
  • Ordieres-Meré, Joaquín

Abstract

This paper explores the effects of enforced Chinese policies regarding environmental matters at the provincial level. The paper proposes several features and explores datasets from the last four Five-Year Plans, which extensively covered the period from 1995 to 2015.

Suggested Citation

  • Gong, Bing & Zheng, Xiaochen & Guo, Qing & Ordieres-Meré, Joaquín, 2019. "Discovering the patterns of energy consumption, GDP, and CO2 emissions in China using the cluster method," Energy, Elsevier, vol. 166(C), pages 1149-1167.
    • Handle: RePEc:eee:energy:v:166:y:2019:i:c:p:1149-1167
    DOI: 10.1016/j.energy.2018.10.143
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    References listed on IDEAS

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    Cited by:

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    2. Xi Jin & Bin Zou & Chan Wang & Kaifeng Rao & Xiaowen Tang, 2019. "Carbon Emission Allocation in a Chinese Province-Level Region Based on Two-Stage Network Structures," Sustainability, MDPI, vol. 11(5), pages 1-24, March.
    3. Yang, Xue & Xu, He & Su, Bin, 2022. "Factor decomposition for global and national aggregate energy intensity change during 2000–2014," Energy, Elsevier, vol. 254(PB).
    4. Xu, Bin & Lin, Boqiang, 2020. "Investigating drivers of CO2 emission in China’s heavy industry: A quantile regression analysis," Energy, Elsevier, vol. 206(C).
    5. Haiyang Shang & Ying Kou & Fang Su & Nini Song & Shuxin Mao, 2021. "The Policy Effect, Spatial Heterogeneity, and Spillover Effect of Land System Pilots," Sustainability, MDPI, vol. 13(21), pages 1-19, October.
    6. Csereklyei, Zsuzsanna & Anantharama, Nandini & Kallies, Anne, 2021. "Electricity market transitions in Australia: Evidence using model-based clustering," Energy Economics, Elsevier, vol. 103(C).
    7. Zhang, Lixiao & Yang, Min & Zhang, Pengpeng & Hao, Yan & Lu, Zhongming & Shi, Zhimin, 2021. "De-coal process in urban China: What can we learn from Beijing's experience?," Energy, Elsevier, vol. 230(C).
    8. Domínguez, R. & Vitali, S., 2021. "Multi-chronological hierarchical clustering to solve capacity expansion problems with renewable sources," Energy, Elsevier, vol. 227(C).

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