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Economy and carbon dioxide emissions effects of energy structures in China: Evidence based on a novel AHP-SBMDEA model

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Listed:
  • Han, Yongming
  • Cao, Lian
  • Guo, Qing
  • Geng, Zhiqiang
  • Yang, Weiyang
  • Fan, Jinzhen
  • Liu, Min

Abstract

With the completion of the poverty alleviation task in China, the Chinese economy has made great breakthroughs. Meanwhile, the implementation of Chinese "dual carbon" goal has entered an important window period of both strategic opportunities and difficulties. The emission of carbon dioxide (CO2) leads to the greenhouse effect, which affects the sustainable development of society. Therefore, this paper proposes an improved analytic hierarchy process (AHP) with Slacks-based measure integrating data envelopment analysis (SBMDEA) (AHP-SBMDEA) based efficiency evaluation model for different provincial-level administrative regions in China, which is used to analyze and optimize the Chinese energy structure of different provincial-level administrative regions. With coal, gasoline, petroleum, fuel oil, diesel, crude oil and natural gas as inputs, the per capita Gross Domestic Product (GDP) as the desired output and the CO2 as the undesired output, after linear weighted calculation of the results of the AHP-SP model and the SBMDEA model, the energy efficiency evaluation model of different provincial administrative regions in China is established. The results show that there is a large difference in efficiency between Chinese northern and southern regions, and the overall efficiency of southern regions is higher than that of northern regions. In addition, it is easier to find out the optimal energy efficiency benchmark, which can provide suggestions and help to guide the energy consumption input structure improvement of other inefficient provincial-level administrative regions. Furthermore, the energy structure can also be adjusted through the redundant variable calculated by the SBMDEA model. For example, Sichuan Province can reduce the consumption of the coal, the gasoline, the diesel, the fuel oil, the crude oil and the natural gas by 5269.95 ×10000 tons (WT), 513.01 WT, 59.05 WT, 34.37 WT, 4,73.33 WT and 130.37 billion cubic meters (BCM), respectively. Its CO2 emissions can be reduced by 1925.4 WT, and raise the efficiency of energy utilization in the province.

Suggested Citation

  • Han, Yongming & Cao, Lian & Guo, Qing & Geng, Zhiqiang & Yang, Weiyang & Fan, Jinzhen & Liu, Min, 2024. "Economy and carbon dioxide emissions effects of energy structures in China: Evidence based on a novel AHP-SBMDEA model," Energy, Elsevier, vol. 290(C).
    • Handle: RePEc:eee:energy:v:290:y:2024:i:c:s0360544223031808
    DOI: 10.1016/j.energy.2023.129786
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    1. Yong-Hong Kuo & Andrew Kusiak, 2019. "From data to big data in production research: the past and future trends," International Journal of Production Research, Taylor & Francis Journals, vol. 57(15-16), pages 4828-4853, August.
    2. Linlin Yao & Paravee Maneejuk & Woraphon Yamaka & Jianxu Liu, 2022. "Quantifying the Competitiveness of Cultural Industry and Its Impacts on Chinese Economic Growth," Sustainability, MDPI, vol. 15(1), pages 1-19, December.
    3. Xiang, Xiwang & Ma, Minda & Ma, Xin & Chen, Liming & Cai, Weiguang & Feng, Wei & Ma, Zhili, 2022. "Historical decarbonization of global commercial building operations in the 21st century," Applied Energy, Elsevier, vol. 322(C).
    4. Zhang, Tiantian & Nakagawa, Kei & Matsumoto, Ken'ichi, 2023. "Evaluating solar photovoltaic power efficiency based on economic dimensions for 26 countries using a three-stage data envelopment analysis," Applied Energy, Elsevier, vol. 335(C).
    5. Xiaochun Zhao & Huixin Xu & Qun Sun, 2022. "Research on China’s Carbon Emission Efficiency and Its Regional Differences," Sustainability, MDPI, vol. 14(15), pages 1-14, August.
    6. Liu, Fangmei & Li, Li & Ye, Bin & Qin, Quande, 2023. "A novel stochastic semi-parametric frontier-based three-stage DEA window model to evaluate China's industrial green economic efficiency," Energy Economics, Elsevier, vol. 119(C).
    7. Shu Zhang & Wenying Chen, 2022. "Assessing the energy transition in China towards carbon neutrality with a probabilistic framework," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    8. Li, Ke & Zou, Danyu & Li, Hailing, 2023. "Environmental regulation and green technical efficiency: A process-level data envelopment analysis from Chinese iron and steel enterprises," Energy, Elsevier, vol. 277(C).
    9. Tomasz Żyłowski & Jerzy Kozyra, 2023. "Crop Cultivation Efficiency and GHG Emission: SBM-DEA Model with Undesirable Output Approach," Sustainability, MDPI, vol. 15(13), pages 1-18, July.
    10. Orla A. Murphy & Ping Wang & Sunny X. Wang & Greg Tkacz, 2013. "An economic efficiency study on different regions of Ghana via Slack-based data envelopment analysis and regression analysis," Applied Economics, Taylor & Francis Journals, vol. 45(34), pages 4773-4780, December.
    11. Hao Chen & Zongxue Xu & Yang Liu & Yixuan Huang & Fang Yang, 2022. "Urban Flood Risk Assessment Based on Dynamic Population Distribution and Fuzzy Comprehensive Evaluation," IJERPH, MDPI, vol. 19(24), pages 1-17, December.
    12. Wei, Xintong & Qiu, Rui & Liang, Yongtu & Liao, Qi & Klemeš, Jiří Jaromír & Xue, Jinjun & Zhang, Haoran, 2022. "Roadmap to carbon emissions neutral industrial parks: Energy, economic and environmental analysis," Energy, Elsevier, vol. 238(PA).
    13. Liu, Haiyue & Zhang, Ruchuan & Zhou, Li & Li, Aijun, 2023. "Evaluating the financial performance of companies from the perspective of fund procurement and application: New strategy cross efficiency network data envelopment analysis models," Energy, Elsevier, vol. 269(C).
    Full references (including those not matched with items on IDEAS)

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