IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i14p6063-d1436237.html
   My bibliography  Save this article

Spatial Evolution and Driving Factors of Ecological Well-Being Performance in the Yellow River Basin

Author

Listed:
  • Ningyi Liu

    (School of Statistics, Lanzhou University of Finance and Economics, Lanzhou 730020, China)

  • Yongyu Wang

    (School of Statistics, Lanzhou University of Finance and Economics, Lanzhou 730020, China)

  • Sisi Liu

    (School of Finance, Lanzhou University of Finance and Economics, Lanzhou 730020, China)

Abstract

Ecological well-being performance (EWP) is a key indicator of sustainable development and has garnered significant research attention. This study measures the overall and stage-by-stage efficiency of the urban agglomerations in the Yellow River Basin based on the ends–means framework of steady-state economics. This study then delves into the spatiotemporal transfer characteristics of EWP through Moran’s I, and spatial Markov chains. Additionally, this research investigates the factors influencing EWP using a random forest model. The findings indicate a notable enhancement in EWP in the urban agglomerations in the YRB from 2006 to 2021, showing clear spatial agglomeration patterns. The shift in EWP types displays a “path dependence” effect, with distinct evolutionary paths influenced by spatial lag effects. Ecological input emerges as a key internal driver of EWP, while urbanization and technological advancements are highlighted as significant external factors. Industrial agglomeration and industrial structure also contribute to improving EWP. The findings of this study help to clarify the spatial and temporal characteristics of ecological welfare performance and its driving mechanisms in the urban agglomerations of the Yellow River Basin. This is conducive to the achievement of high-quality urban transformation and regional green development, and it provides a reference for the construction of an ecological civilization.

Suggested Citation

  • Ningyi Liu & Yongyu Wang & Sisi Liu, 2024. "Spatial Evolution and Driving Factors of Ecological Well-Being Performance in the Yellow River Basin," Sustainability, MDPI, vol. 16(14), pages 1-23, July.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:14:p:6063-:d:1436237
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/14/6063/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/14/6063/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zekun Li & Shenjing He & Shiliang Su & Guie Li & Fei Chen, 2020. "Public Services Equalization in Urbanizing China: Indicators, Spatiotemporal Dynamics and Implications on Regional Economic Disparities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(1), pages 1-65, November.
    2. Pirgmaier, Elke, 2017. "The Neoclassical Trojan Horse of Steady-State Economics," Ecological Economics, Elsevier, vol. 133(C), pages 52-61.
    3. Xuhui Cong & Zhipeng Qi & Sai Wang & Peikun Su & Liang Wang & Jonas Šaparauskas & Jarosław Górecki & Miroslaw J. Skibniewski, 2023. "Ecological Welfare Performance Evaluation and Spatial–Temporal Difference Evolution of Blue Economic Zones: A Case Study of the Blue Economic Zone of Shandong Peninsula," Land, MDPI, vol. 12(10), pages 1-15, October.
    4. 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.
    5. Common, Mick, 2007. "Measuring national economic performance without using prices," Ecological Economics, Elsevier, vol. 64(1), pages 92-102, October.
    6. Pereira, Miguel Alves & Camanho, Ana Santos & Marques, Rui Cunha & Figueira, José Rui, 2021. "The convergence of the World Health Organization Member States regarding the United Nations’ Sustainable Development Goal ‘Good health and well-being’," Omega, Elsevier, vol. 104(C).
    7. 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.
    8. Yuanyuan Zhu & Rui Zhang & Jiaxing Cui, 2022. "Spatial Differentiation and Influencing Factors in the Ecological Well-Being Performance of Urban Agglomerations in the Middle Reaches of the Yangtze River: A Hierarchical Perspective," IJERPH, MDPI, vol. 19(19), pages 1-22, October.
    9. Binswanger, Mathias, 2001. "Technological progress and sustainable development: what about the rebound effect?," Ecological Economics, Elsevier, vol. 36(1), pages 119-132, January.
    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. Ningyi Liu & Yongyu Wang, 2022. "Urban Agglomeration Ecological Welfare Performance and Spatial Convergence Research in the Yellow River Basin," Land, MDPI, vol. 11(11), pages 1-18, November.
    2. 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.
    3. Joohwan Kim & Hwayoung Kim, 2021. "Evaluation of the Efficiency of Maritime Transport Using a Network Slacks-Based Measure (SBM) Approach: A Case Study on the Korean Coastal Ferry Market," Sustainability, MDPI, vol. 13(11), pages 1-17, May.
    4. Wang, Xiaoyin & Gao, Cuiyun, 2024. "Does green finance policy help to improve carbon reduction welfare performance? Evidence from China," Energy Economics, Elsevier, vol. 132(C).
    5. Lan Yao & Zhenning Yu & Mengya Wu & Jiachen Ning & Tiangui Lv, 2020. "The Spatiotemporal Evolution and Trend Prediction of Ecological Wellbeing Performance in China," Land, MDPI, vol. 10(1), pages 1-17, December.
    6. Shi, Jiangang & Dai, Xingying & Duan, Kaifeng & Li, Jiajia, 2023. "Exploring the performances and determinants of public service provision in 35 major cities in China from the perspectives of efficiency and effectiveness," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    7. Mocholi-Arce, Manuel & Sala-Garrido, Ramon & Molinos-Senante, Maria & Maziotis, Alexandros, 2022. "Performance assessment of the Chilean water sector: A network data envelopment analysis approach," Utilities Policy, Elsevier, vol. 75(C).
    8. Khezrimotlagh, Dariush & Kaffash, Sepideh & Zhu, Joe, 2022. "U.S. airline mergers’ performance and productivity change," Journal of Air Transport Management, Elsevier, vol. 102(C).
    9. Wen-Min Lu & Qian Long Kweh & Chung-Wei Wang, 2021. "Integration and application of rough sets and data envelopment analysis for assessments of the investment trusts industry," Annals of Operations Research, Springer, vol. 296(1), pages 163-194, January.
    10. Hadi Ghafoorian & NikIntan Norhan & Mohammed Ndaliman Abubakar & Fazel Mohammadi Nodeh, 2013. "Efficiency Considering Credit Risk in Banking Industry, Using Two-stage DEA," Journal of Social and Development Sciences, AMH International, vol. 4(8), pages 356-360.
    11. Chen, Yufeng & Ni, Liangfu & Liu, Kelong, 2021. "Does China's new energy vehicle industry innovate efficiently? A three-stage dynamic network slacks-based measure approach," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    12. Mohammad Nourani & Qian Long Kweh & Evelyn Shyamala Devadason & V.G.R. Chandran, 2020. "A decomposition analysis of managerial efficiency for the insurance companies: A data envelopment analysis approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(6), pages 885-901, September.
    13. Chen, Ping-Chuan & Hung, Shiu-Wan, 2016. "An actor-network perspective on evaluating the R&D linking efficiency of innovation ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 303-312.
    14. Kronenberg, Tobias, 2010. "Finding common ground between ecological economics and post-Keynesian economics," Ecological Economics, Elsevier, vol. 69(7), pages 1488-1494, May.
    15. Yongqi Feng & Haolin Zhang & Yung-ho Chiu & Tzu-Han Chang, 2021. "Innovation efficiency and the impact of the institutional quality: a cross-country analysis using the two-stage meta-frontier dynamic network DEA model," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3091-3129, April.
    16. Ana Labella-Fernández & M. Mar Serrano-Arcos & Belén Payán-Sánchez, 2021. "Firm Growth as a Driver of Sustainable Product Innovation: Mediation and Moderation Analysis. Evidence from Manufacturing Firms," IJERPH, MDPI, vol. 18(5), pages 1-22, March.
    17. Patricija Bajec & Danijela Tuljak-Suban, 2019. "An Integrated Analytic Hierarchy Process—Slack Based Measure-Data Envelopment Analysis Model for Evaluating the Efficiency of Logistics Service Providers Considering Undesirable Performance Criteria," Sustainability, MDPI, vol. 11(8), pages 1-18, April.
    18. Khushalani, Jaya & Ozcan, Yasar A., 2017. "Are hospitals producing quality care efficiently? An analysis using Dynamic Network Data Envelopment Analysis (DEA)," Socio-Economic Planning Sciences, Elsevier, vol. 60(C), pages 15-23.
    19. Hartono, Djoni & Resosudarmo, Budy P., 2008. "The economy-wide impact of controlling energy consumption in Indonesia: An analysis using a Social Accounting Matrix framework," Energy Policy, Elsevier, vol. 36(4), pages 1404-1419, April.
    20. Chi-Yo Huang & Min-Jen Yang & Jeen-Fong Li & Hueiling Chen, 2021. "A DANP-Based NDEA-MOP Approach to Evaluating the Patent Commercialization Performance of Industry–Academic Collaborations," Mathematics, MDPI, vol. 9(18), pages 1-26, September.

    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:jsusta:v:16:y:2024:i:14:p:6063-:d:1436237. 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.