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Spatiotemporal evolution characteristics and influencing factors of energy-ecology-economy complex system efficiency: Case study of Yangtze River Economic Belt in China

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  • Yang, Guangming
  • Gui, Qingqing
  • Liu, Junyue
  • Yang, Yanjun
  • Cheng, Siyi
  • Yang, Yunrui

Abstract

Given the growing concern over global warming, the issue of balancing ecological preservation with economic development is receiving increased attention from researchers and policymakers. This paper uses the two-stage NDEA-SBM model to calculate the energy, ecology, and economic (3E) efficiency of the Yangtze River Economic Belt (YREB) and analyze the spatial distribution characteristics and influencing factors of 3E. The main results are as follows: (1) The 3E efficiency in the YREB demonstrates a gradual improvement, increasing from 0.65 in 2011 to 0.75 in 2020. The most 3E efficient cities are mainly concentrated in the middle and lower reaches of the YREB. (2) Before 2014, the highest efficiency of 3E was in the upper reaches, followed by the middle reaches, and then the lower reaches. After 2014, the middle reaches were the highest, followed by the lower reaches, with the upper reaches being the lowest. (3) The center of gravity of 3E efficiency gradually moves to the lower reaches, and the moving range is mainly concentrated in the middle reaches, signifying a decline in 3E efficiency in the upper reaches and an increase in the lower reaches. (4) The efficiency of 3E is positively correlated with manufacturing scale, economic development, and government intervention, and negatively correlated with financial development and opening up. This study provides new insight into the contradiction between economic development and environmental protection.

Suggested Citation

  • Yang, Guangming & Gui, Qingqing & Liu, Junyue & Yang, Yanjun & Cheng, Siyi & Yang, Yunrui, 2024. "Spatiotemporal evolution characteristics and influencing factors of energy-ecology-economy complex system efficiency: Case study of Yangtze River Economic Belt in China," Energy, Elsevier, vol. 312(C).
    • Handle: RePEc:eee:energy:v:312:y:2024:i:c:s0360544224033024
    DOI: 10.1016/j.energy.2024.133526
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    References listed on IDEAS

    as
    1. Liu, Chao & Xu, Yueqing & Lu, Xinhai & Han, Jing, 2021. "Trade-offs and driving forces of land use functions in ecologically fragile areas of northern Hebei Province: Spatiotemporal analysis," Land Use Policy, Elsevier, vol. 104(C).
    2. Shahab Ud Din & Muhammad Yar Khan & Majid Jamal Khan & Memoona Nilofar, 2022. "Nexus Between Sustainable Development, Adjusted Net Saving, Economic Growth, and Financial Development in South Asian Emerging Economies," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(3), pages 2372-2385, September.
    3. Meng, Ming & Pang, Tingting, 2022. "Operational efficiency analysis of China's electric power industry using a dynamic network slack-based measure model," Energy, Elsevier, vol. 251(C).
    4. de Carvalho, Ariovaldo Lopes & Henggeler Antunes, Carlos & Freire, Fausto & Oliveira Henriques, Carla, 2016. "A multi-objective interactive approach to assess economic-energy-environment trade-offs in Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1429-1442.
    5. Cole, Matthew A. & Elliott, Robert J.R. & Shimamoto, Kenichi, 2005. "Industrial characteristics, environmental regulations and air pollution: an analysis of the UK manufacturing sector," Journal of Environmental Economics and Management, Elsevier, vol. 50(1), pages 121-143, July.
    6. Qingyou Yan & Xu Wang & Tomas Baležentis & Dalia Streimikiene, 2018. "Energy–economy–environmental (3E) performance of Chinese regions based on the data envelopment analysis model with mixed assumptions on disposability," Energy & Environment, , vol. 29(5), pages 664-684, August.
    7. Tone, Kaoru & Tsutsui, Miki, 2009. "Network DEA: A slacks-based measure approach," European Journal of Operational Research, Elsevier, vol. 197(1), pages 243-252, August.
    8. Tone, Kaoru & Toloo, Mehdi & Izadikhah, Mohammad, 2020. "A modified slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 287(2), pages 560-571.
    9. Bahram Fathi & Malihe Ashena & Majid Anisi, 2023. "Efficiency evaluation of sustainability indicators in a two-stage network structure: a Nash bargaining game approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(2), pages 1832-1851, February.
    10. You, Jianmin & Zhang, Wei, 2022. "How heterogeneous technological progress promotes industrial structure upgrading and industrial carbon efficiency? Evidence from China's industries," Energy, Elsevier, vol. 247(C).
    11. 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).
    12. Quanxin Gan & Liu Yang & Jin Liu & Xiaofan Cheng & Han Qin & Jiafu Su & Weiyi Xia, 2021. "The Level of Regional Economic Development, Green Image, and Enterprise Environmental Protection Investment: Empirical Evidence from China," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-12, April.
    13. Charnes, A. & Cooper, W. W. & Golany, B. & Seiford, L. & Stutz, J., 1985. "Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 91-107.
    14. Jianhuan Huang & Juanjuan Chen & Zhujia Yin, 2014. "A Network DEA Model with Super Efficiency and Undesirable Outputs: An Application to Bank Efficiency in China," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-14, April.
    15. Shahbaz, Muhammad & Sarwar, Suleman & Chen, Wei & Malik, Muhammad Nasir, 2017. "Dynamics of electricity consumption, oil price and economic growth: Global perspective," Energy Policy, Elsevier, vol. 108(C), pages 256-270.
    16. Wang, Zhaohua & Feng, Chao, 2015. "A performance evaluation of the energy, environmental, and economic efficiency and productivity in China: An application of global data envelopment analysis," Applied Energy, Elsevier, vol. 147(C), pages 617-626.
    17. Usman, Muhammad & Jahanger, Atif & Makhdum, Muhammad Sohail Amjad & Balsalobre-Lorente, Daniel & Bashir, Adnan, 2022. "How do financial development, energy consumption, natural resources, and globalization affect Arctic countries' economic growth and environmental quality? An advanced panel data simulation," Energy, Elsevier, vol. 241(C).
    18. Kang, Jijun & Yu, Chenyang & Xue, Rui & Yang, Dong & Shan, Yuli, 2022. "Can regional integration narrow city-level energy efficiency gap in China?," Energy Policy, Elsevier, vol. 163(C).
    19. Fu, Z.H. & Xie, Y.L. & Li, W. & Lu, W.T. & Guo, H.C., 2017. "An inexact multi-objective programming model for an economy-energy-environment system under uncertainty: A case study of Urumqi, China," Energy, Elsevier, vol. 126(C), pages 165-178.
    20. Keskin, Burak, 2021. "An efficiency analysis on social prosperity: OPEC case under network DEA slack-based measure approach," Energy, Elsevier, vol. 231(C).
    21. Chen, Shanshan & Zhang, Ruchuan & Li, Peiwen & Li, Aijun, 2023. "How to improve the performance of China's energy-transport-economy-environment system: An analysis based on new strategy parallel-series input-output data envelopment analysis models," Energy, Elsevier, vol. 281(C).
    22. Pan, Xiongfeng & Ai, Bowei & Li, Changyu & Pan, Xianyou & Yan, Yaobo, 2019. "Dynamic relationship among environmental regulation, technological innovation and energy efficiency based on large scale provincial panel data in China," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 428-435.
    23. 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.
    24. Zhanhua Jia & Guofeng Gu, 2021. "Is Local Government Intervention Effective In Promoting The Tfp Of An Old Industrial Area? — A Spatial Econometric Analysis Of Northeast China," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 66(03), pages 933-951, June.
    25. Ma, Chunbo & Stern, David I., 2008. "China's changing energy intensity trend: A decomposition analysis," Energy Economics, Elsevier, vol. 30(3), pages 1037-1053, May.
    26. Shuangjie Li & Wei Wang & Liming Wang & Ge Wang, 2023. "Digital Economy and 3E Efficiency Performance: Evidence from EU Countries," Sustainability, MDPI, vol. 15(7), pages 1-18, March.
    27. Kao, Chiang, 2022. "Closest targets in the slacks-based measure of efficiency for production units with multi-period data," European Journal of Operational Research, Elsevier, vol. 297(3), pages 1042-1054.
    28. Alfaro, Laura & Chanda, Areendam & Kalemli-Ozcan, Sebnem & Sayek, Selin, 2010. "Does foreign direct investment promote growth? Exploring the role of financial markets on linkages," Journal of Development Economics, Elsevier, vol. 91(2), pages 242-256, March.
    29. Chen, Ya & Li, Yongjun & Liang, Liang & Salo, Ahti & Wu, Huaqing, 2016. "Frontier projection and efficiency decomposition in two-stage processes with slacks-based measures," European Journal of Operational Research, Elsevier, vol. 250(2), pages 543-554.
    30. Pastor, J. T. & Ruiz, J. L. & Sirvent, I., 1999. "An enhanced DEA Russell graph efficiency measure," European Journal of Operational Research, Elsevier, vol. 115(3), pages 596-607, June.
    31. Jie, Huo & Khan, Irfan & Alharthi, Majed & Zafar, Muhammad Wasif & Saeed, Asif, 2023. "Sustainable energy policy, socio-economic development, and ecological footprint: The economic significance of natural resources, population growth, and industrial development," Utilities Policy, Elsevier, vol. 81(C).
    32. Zhang, Xing-Ping & Cheng, Xiao-Mei & Yuan, Jia-Hai & Gao, Xiao-Jun, 2011. "Total-factor energy efficiency in developing countries," Energy Policy, Elsevier, vol. 39(2), pages 644-650, February.
    33. Li, Na & Zhang, Xiaoling & Shi, Minjun & Zhou, Shenglv, 2017. "The prospects of China’s long-term economic development and CO2 emissions under fossil fuel supply constraints," Resources, Conservation & Recycling, Elsevier, vol. 121(C), pages 11-22.
    34. Ji, Zhengsen & Niu, Dongxiao & Li, Wanying & Wu, Gengqi & Yang, Xiaolong & Sun, Lijie, 2022. "Improving the energy efficiency of China: An analysis considering clean energy and fossil energy resources," Energy, Elsevier, vol. 259(C).
    35. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    36. Guo, I-Lung & Lee, Hsuan-Shih & Lee, Dan, 2017. "An integrated model for slack-based measure of super-efficiency in additive DEA," Omega, Elsevier, vol. 67(C), pages 160-167.
    37. Ouyang, Wendi & Yang, Jian-bo, 2020. "The network energy and environment efficiency analysis of 27 OECD countries: A multiplicative network DEA model," Energy, Elsevier, vol. 197(C).
    38. Cui, Qiang & Jin, Zi-yin, 2020. "Airline environmental efficiency measures considering negative data: An application of a modified network Modified Slacks-based measure model," Energy, Elsevier, vol. 207(C).
    39. Rita, Rui & Marques, Vitor & Bárbara, Diogo & Chaves, Inês & Macedo, Pedro & Moutinho, Victor & Pereira, Mariana, 2023. "Crossing non-parametric and parametric techniques for measuring the efficiency: Evidence from 65 European electricity Distribution System Operators," Energy, Elsevier, vol. 283(C).
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