IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i3p1888-d1041579.html
   My bibliography  Save this article

Spatiotemporal Pattern and Convergence Test of Energy Eco-Efficiency in the Yellow River Basin

Author

Listed:
  • Shan Feng

    (School of Economics, Ocean University of China, Qingdao 266100, China
    Institute of Ocean Development, Key Research Base of Humanities and Social Sciences, Ministry of Education, Qingdao 266100, China)

  • Yawen Kong

    (School of Economics, Ocean University of China, Qingdao 266100, China)

  • Shuguang Liu

    (School of Economics, Ocean University of China, Qingdao 266100, China
    Institute of Ocean Development, Key Research Base of Humanities and Social Sciences, Ministry of Education, Qingdao 266100, China)

  • Hongwei Zhou

    (Institute of Ocean Development, Key Research Base of Humanities and Social Sciences, Ministry of Education, Qingdao 266100, China)

Abstract

Examining the convergence characteristics of energy eco-efficiency in the Yellow River Basin (YRB) is of great significance for the sustainable development of China. It fulfills the international commitment to carbon peak and carbon neutrality. Based on the Super-EBM model and ML index, this paper measures the energy eco-efficiency of 60 cities in the YRB during 2006–2018, and then spatial and temporal patterns are both analyzed before the final investigation of the convergence in the YRB. The results show the following: (1) From 2006 to 2018, the energy eco-efficiency of the YRB showed a significant upward trend, but there was still a 25.61% improvement compared with the production frontier. (2) The spatial differentiation of the energy eco-efficiency in the YRB was significant, and the inter-regional differences were the main reason for this. (3) There was no σ -convergence in energy eco-efficiency in the YRB during 2006–2018, but absolute and conditional β -convergence did occur. (4) Although the significant factors in the convergences were different, the levels of energy eco-efficiency in the different reaches all developed towards stable levels, and the catch-up effects in the less-developed regions were significant.

Suggested Citation

  • Shan Feng & Yawen Kong & Shuguang Liu & Hongwei Zhou, 2023. "Spatiotemporal Pattern and Convergence Test of Energy Eco-Efficiency in the Yellow River Basin," IJERPH, MDPI, vol. 20(3), pages 1-17, January.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:3:p:1888-:d:1041579
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/3/1888/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/20/3/1888/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tone, Kaoru & Tsutsui, Miki, 2010. "An epsilon-based measure of efficiency in DEA - A third pole of technical efficiency," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1554-1563, December.
    2. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    3. Steven Chu & Arun Majumdar, 2012. "Opportunities and challenges for a sustainable energy future," Nature, Nature, vol. 488(7411), pages 294-303, August.
    4. Patterson, Murray G, 1996. "What is energy efficiency? : Concepts, indicators and methodological issues," Energy Policy, Elsevier, vol. 24(5), pages 377-390, May.
    5. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Zhao-Hua & Zeng, Hua-Lin & Wei, Yi-Ming & Zhang, Yi-Xiang, 2012. "Regional total factor energy efficiency: An empirical analysis of industrial sector in China," Applied Energy, Elsevier, vol. 97(C), pages 115-123.
    2. Zebin Zheng & Wenjun Xiao & Ziye Cheng, 2023. "China’s Green Total Factor Energy Efficiency Assessment Based on Coordinated Reduction in Pollution and Carbon Emission: From the 11th to the 13th Five-Year Plan," Sustainability, MDPI, vol. 15(9), pages 1-20, April.
    3. Zhicheng Lai & Lei Li & Zhuomin Tao & Tao Li & Xiaoting Shi & Jialing Li & Xin Li, 2023. "Spatio-Temporal Evolution and Influencing Factors of Ecological Well-Being Performance from the Perspective of Strong Sustainability: A Case Study of the Three Gorges Reservoir Area, China," IJERPH, MDPI, vol. 20(3), pages 1-25, January.
    4. Pillai N., Vijayamohanan, 2019. "Measuring Energy Efficiency: An Application of Data Envelopment Analysis to Power Sector in Kerala," MPRA Paper 101945, University Library of Munich, Germany.
    5. Antunes, Jorge Junio Moreira & Neves, Juliana Campos & Elmor, Larissa Rosa Carneiro & Araujo, Michel Fontaine Reis De & Wanke, Peter Fernandes & Tan, Yong, 2023. "A new perspective on the U.S. energy efficiency: The political context," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    6. Ze Tian & Fang-Rong Ren & Qin-Wen Xiao & Yung-Ho Chiu & Tai-Yu Lin, 2019. "Cross-Regional Comparative Study on Carbon Emission Efficiency of China’s Yangtze River Economic Belt Based on the Meta-Frontier," IJERPH, MDPI, vol. 16(4), pages 1-19, February.
    7. Chang, Ming-Chung, 2013. "A comment on the calculation of the total-factor energy efficiency (TFEE) index," Energy Policy, Elsevier, vol. 53(C), pages 500-504.
    8. Li, Lan-Bing & Hu, Jin-Li, 2012. "Ecological total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 46(C), pages 216-224.
    9. Georgia Makridou, Kostas Andriosopoulos, Michael Doumpos, and Constantin Zopounidis, 2015. "A Two-stage approach for energy efficiency analysis in European Union countries," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    10. Hu, Jin-Li & Lio, Mon-Chi & Yeh, Fang-Yu & Lin, Cheng-Hsun, 2011. "Environment-adjusted regional energy efficiency in Taiwan," Applied Energy, Elsevier, vol. 88(8), pages 2893-2899, August.
    11. Blomberg, Jerry & Henriksson, Eva & Lundmark, Robert, 2012. "Energy efficiency and policy in Swedish pulp and paper mills: A data envelopment analysis approach," Energy Policy, Elsevier, vol. 42(C), pages 569-579.
    12. Hu, Jin-Li & Wang, Shih-Chuan, 2006. "Total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 34(17), pages 3206-3217, November.
    13. Wen-Min Lu & Qian Long Kweh & Kai-Chu Yang, 2022. "Multiplicative efficiency aggregation to evaluate Taiwanese local auditing institutions performance," Annals of Operations Research, Springer, vol. 315(2), pages 1243-1262, August.
    14. Xie, Wei & Sheng, Pengfei & Guo, Xiaohui, 2015. "Coal, oil, or clean energy: Which contributes most to the low energy efficiency in China?," Utilities Policy, Elsevier, vol. 35(C), pages 67-71.
    15. Pillai N., Vijayamohanan, 2019. "Measuring Energy Efficiency: An Application of Stochastic Frontier Production Function Analysis to Power Sector in Kerala," MPRA Paper 101944, University Library of Munich, Germany.
    16. Yi Qu & Xiao Lyu & Wenlong Peng & Zongfei Xin, 2021. "How to Evaluate the Green Utilization Efficiency of Cultivated Land in a Farming Household? A Case Study of Shandong Province, China," Land, MDPI, vol. 10(8), pages 1-18, July.
    17. Fang, Chin-Yi & Hu, Jin-Li & Lou, Tze-Kai, 2013. "Environment-adjusted total-factor energy efficiency of Taiwan's service sectors," Energy Policy, Elsevier, vol. 63(C), pages 1160-1168.
    18. Ying Li & Yung-ho Chiu & Tai-Yu Lin, 2019. "The Impact of Economic Growth and Air Pollution on Public Health in 31 Chinese Cities," IJERPH, MDPI, vol. 16(3), pages 1-26, January.
    19. Changjun Jiang & Sanggyun Na & Fengting Jiang, 2019. "Influencing Efficiency of Tax Relief on the Capital Market: An Empirical Study of China Supply-Side Reform," Sustainability, MDPI, vol. 11(11), pages 1-19, May.
    20. Zhi Li & Lu Lv & Zuo Zhang, 2022. "Research on the Characteristics and Influencing Factors of Chinese Urban Households’ Electricity Consumption Efficiency," Energies, MDPI, vol. 15(20), pages 1-15, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2023:i:3:p:1888-:d:1041579. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.