IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i11p1928-d957743.html
   My bibliography  Save this article

Ecological Well-Being Performance Evaluation of Chinese Major Node Cities along the Belt and Road

Author

Listed:
  • Jing Bian

    (School of Management, Xi’an University of Architecture and Technology, Xi’an 710055, China
    Research Center of Green Development and Mechanism Innovation of Real Estate Industry in Shaanxi Province, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Feng Lan

    (School of Management, Xi’an University of Architecture and Technology, Xi’an 710055, China
    Research Center of Green Development and Mechanism Innovation of Real Estate Industry in Shaanxi Province, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Zhao Hui

    (School of Management, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Jiamin Bai

    (School of Management, Xi’an University of Architecture and Technology, Xi’an 710055, China)

  • Yuanping Wang

    (School of Civil Engineering, Chongqing University of Science and Technology, Chongqing 401331, China)

Abstract

Under the constraints of resources and the environment, improving the urban ecological well-being performance ( EWP ) is a fundamental requirement and inevitable choice for urban ecological civilization construction and sustainable development. In this paper, 36 Chinese major node cities along the Belt and Road were selected as the research area, and an EWP evaluation index system was constructed. The two-stage Super Network Slack-based measure (Super-NSBM) model was used to evaluate the static EWP from 2011 to 2018, and the Malmquist–Luenberger productivity index was used to evaluate the dynamic EWP . It was found that: (1) The EWP value of 36 Chinese major node cities along the Belt and Road from 2011 to 2018 did not reach effectiveness, with Sanya, Shenzhen, and Haikou being the top three performers. (2) In terms of two-stage efficiency, the ecological economic efficiency in the first stage was significantly lower than the economic well-being efficiency in the second stage, which indicated that the low ecological economic efficiency was the main reason for the low average value of the EWP . (3) From the dynamic analysis results, the Malmquist–Luenberger productivity index experienced a fluctuating upward trend, and the technical change was the main factor for the improvement in the EWP . Finally, policy recommendations were proposed based on the above findings. This study will contribute to the sustainable development of Chinese major node cities along the Belt and Road, and can provide a reference for other Belt and Road regions.

Suggested Citation

  • Jing Bian & Feng Lan & Zhao Hui & Jiamin Bai & Yuanping Wang, 2022. "Ecological Well-Being Performance Evaluation of Chinese Major Node Cities along the Belt and Road," Land, MDPI, vol. 11(11), pages 1-19, October.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:11:p:1928-:d:957743
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/11/1928/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/11/11/1928/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liu, Zuankuo & Xin, Li, 2019. "Has China's Belt and Road Initiative promoted its green total factor productivity？——Evidence from primary provinces along the route," Energy Policy, Elsevier, vol. 129(C), pages 360-369.
    2. Victor Moutinho & Mara Madaleno, 2021. "A Two-Stage DEA Model to Evaluate the Technical Eco-Efficiency Indicator in the EU Countries," IJERPH, MDPI, vol. 18(6), pages 1-21, March.
    3. Shengyun Wang & Liancheng Duan & Qin Zhu & Yaxin Zhang, 2022. "Spatial Differences of Ecological Well-Being Performance in the Poyang Lake Area at the Local Level," IJERPH, MDPI, vol. 19(18), pages 1-19, September.
    4. Xiaoming Song & Ze Tian & Chenhui Ding & Chao Liu & Wei Wang & Ronggai Zhao & Yingchun Xing, 2022. "Digital Economy, Environmental Regulation, and Ecological Well-Being Performance: A Provincial Panel Data Analysis from China," IJERPH, MDPI, vol. 19(18), pages 1-21, September.
    5. Vaninsky, Alexander, 2018. "Energy-environmental efficiency and optimal restructuring of the global economy," Energy, Elsevier, vol. 153(C), pages 338-348.
    6. Xuebin Zhang & Litang Yao & Jun Luo & Wenjuan Liang, 2022. "Exploring Changes in Land Use and Landscape Ecological Risk in Key Regions of the Belt and Road Initiative Countries," Land, MDPI, vol. 11(6), pages 1-22, June.
    7. Wang, Changjian & Miao, Zhuang & Chen, Xiaodong & Cheng, Yu, 2021. "Factors affecting changes of greenhouse gas emissions in Belt and Road countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    8. Daly, Herman E, 1974. "The Economics of the Steady State," American Economic Review, American Economic Association, vol. 64(2), pages 15-21, May.
    9. Shengyun Wang & Liancheng Duan & Shuwen Jiang, 2022. "Research on Spatial Differences and Driving Effects of Ecological Well-Being Performance in China," IJERPH, MDPI, vol. 19(15), pages 1-20, July.
    10. Common, Mick, 2007. "Measuring national economic performance without using prices," Ecological Economics, Elsevier, vol. 64(1), pages 92-102, October.
    11. Moran, Daniel D. & Wackernagel, Mathis & Kitzes, Justin A. & Goldfinger, Steven H. & Boutaud, Aurelien, 2008. "Measuring sustainable development -- Nation by nation," Ecological Economics, Elsevier, vol. 64(3), pages 470-474, January.
    12. Demiral, Elif E. & Sağlam, Ümit, 2021. "Eco-efficiency and Eco-productivity assessments of the states in the United States: A two-stage Non-parametric analysis," Applied Energy, Elsevier, vol. 303(C).
    13. Shengyun Wang & Yaxin Zhang & Xingren Yao, 2021. "Research on Spatial Unbalance and Influencing Factors of Ecological Well-Being Performance in China," IJERPH, MDPI, vol. 18(17), pages 1-23, September.
    14. Liang-jun Long, 2021. "Eco-efficiency and effectiveness evaluation toward sustainable urban development in China: a super-efficiency SBM–DEA with undesirable outputs," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 14982-14997, October.
    15. Cracolici, Maria Francesca & Cuffaro, Miranda & Lacagnina, Valerio, 2018. "Assessment of Sustainable Well-being in the Italian Regions: An Activity Analysis Model," Ecological Economics, Elsevier, vol. 143(C), pages 105-110.
    16. Jahanger, Atif & Usman, Muhammad & Murshed, Muntasir & Mahmood, Haider & Balsalobre-Lorente, Daniel, 2022. "The linkages between natural resources, human capital, globalization, economic growth, financial development, and ecological footprint: The moderating role of technological innovations," Resources Policy, Elsevier, vol. 76(C).
    17. Chuansheng Wu & Yuyue Li & Lingling Qi, 2022. "Assessing the Impact of Green Transformation on Ecological Well-Being Performance: A Case Study of 78 Cities in Western China," IJERPH, MDPI, vol. 19(18), pages 1-21, September.
    18. Jing Bian & Feng Lan & Yulin Zhou & Zhenzhen Peng & Mingfang Dong, 2022. "Spatial and Temporal Evolution and Driving Factors of Urban Ecological Well-Being Performance in China," IJERPH, MDPI, vol. 19(16), pages 1-19, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Feng Lan & Zhao Hui & Jing Bian & Ying Wang & Wenxin Shen, 2022. "Ecological Well-Being Performance Evaluation and Spatio-Temporal Evolution Characteristics of Urban Agglomerations in the Yellow River Basin," Land, MDPI, vol. 11(11), pages 1-21, November.

    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. 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.
    2. 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.
    3. Guokui Wang & Junbo Gao & Yangyang Li, 2024. "Does Low-Carbon Transition Promote Regional Sustainable Development? Evidence from the Huaihe River Ecological Economic Belt," Sustainability, MDPI, vol. 16(20), pages 1-17, October.
    4. Ling Bai & Tianran Guo & Wei Xu & Kang Luo, 2022. "The Spatial Differentiation and Driving Forces of Ecological Welfare Performance in the Yangtze River Economic Belt," IJERPH, MDPI, vol. 19(22), pages 1-21, November.
    5. Yu Zhang & Xi Cai & Yanying Mao & Liudan Jiao & Liu Wu, 2023. "What Is the State of Development of Eco-Wellbeing Performance in China? An Analysis from a Three-Stage Network Perspective," Land, MDPI, vol. 12(8), pages 1-18, July.
    6. Shengyun Wang & Liancheng Duan & Qin Zhu & Yaxin Zhang, 2022. "Spatial Differences of Ecological Well-Being Performance in the Poyang Lake Area at the Local Level," IJERPH, MDPI, vol. 19(18), pages 1-19, September.
    7. Shengyun Wang & Yaxin Zhang & Xingren Yao, 2021. "Research on Spatial Unbalance and Influencing Factors of Ecological Well-Being Performance in China," IJERPH, MDPI, vol. 18(17), pages 1-23, September.
    8. Amirmohsen Behjat & Mohammad Hassan Tarazkar, 2021. "Investigating the factors affecting the ecological well-being performance in Iran from 1994 to 2014," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(9), pages 13871-13889, September.
    9. 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.
    10. Jundong Hou & Xinxin Ruan & Jun Lv & Haixiang Guo, 2020. "Two-Stage Super-Efficiency Slacks-Based Model to Assess China’s Ecological Wellbeing," IJERPH, MDPI, vol. 17(19), pages 1-19, September.
    11. Can Zhang & Jixia Li & Tengfei Liu & Mengzhi Xu & Huachun Wang & Xu Li, 2022. "The Spatiotemporal Evolution and Influencing Factors of the Chinese Cities’ Ecological Welfare Performance," IJERPH, MDPI, vol. 19(19), pages 1-27, October.
    12. Feng Lan & Zhao Hui & Jing Bian & Ying Wang & Wenxin Shen, 2022. "Ecological Well-Being Performance Evaluation and Spatio-Temporal Evolution Characteristics of Urban Agglomerations in the Yellow River Basin," Land, MDPI, vol. 11(11), pages 1-21, November.
    13. Jing Bian & Feng Lan & Yulin Zhou & Zhenzhen Peng & Mingfang Dong, 2022. "Spatial and Temporal Evolution and Driving Factors of Urban Ecological Well-Being Performance in China," IJERPH, MDPI, vol. 19(16), pages 1-19, August.
    14. Shengyun Wang & Liancheng Duan & Shuwen Jiang, 2022. "Research on Spatial Differences and Driving Effects of Ecological Well-Being Performance in China," IJERPH, MDPI, vol. 19(15), pages 1-20, July.
    15. Xiaoming Song & Ze Tian & Chenhui Ding & Chao Liu & Wei Wang & Ronggai Zhao & Yingchun Xing, 2022. "Digital Economy, Environmental Regulation, and Ecological Well-Being Performance: A Provincial Panel Data Analysis from China," IJERPH, MDPI, vol. 19(18), pages 1-21, September.
    16. Chuansheng Wu & Yuyue Li & Lingling Qi, 2022. "Assessing the Impact of Green Transformation on Ecological Well-Being Performance: A Case Study of 78 Cities in Western China," IJERPH, MDPI, vol. 19(18), pages 1-21, September.
    17. 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.
    18. Liu, Yang & Wang, Jianda & Dong, Kangyin & Taghizadeh-Hesary, Farhad, 2023. "How does natural resource abundance affect green total factor productivity in the era of green finance? Global evidence," Resources Policy, Elsevier, vol. 81(C).
    19. Chu, Junfei & Shao, Caifeng & Emrouznejad, Ali & Wu, Jie & Yuan, Zhe, 2021. "Performance evaluation of organizations considering economic incentives for emission reduction: A carbon emission permit trading approach," Energy Economics, Elsevier, vol. 101(C).
    20. Sicen Liu & Xiaodong Chen & Zhiyang Shen & Tomas Baležentis, 2022. "Industrial energy consumption and pollutant emissions: Combined decomposition of relative performance and absolute changes," Business Strategy and the Environment, Wiley Blackwell, vol. 31(7), pages 3454-3469, November.

    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:jlands:v:11:y:2022:i:11:p:1928-:d:957743. 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.