IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i8p4550-d539363.html
   My bibliography  Save this article

Spatio-Temporal Differentiation Mode and Threshold Effect of Yangtze River Delta Urban Ecological Well-Being Performance Based on Network DEA

Author

Listed:
  • Meijuan Hu

    (School of Tourism and Culinary Science, Yangzhou University, Yangzhou 225127, China)

  • Suleman Sarwar

    (Finance and Economics Department, College of Business, University of Jeddah, Jeddah 21442, Saudi Arabia)

  • Zaijun Li

    (Research Institute of Central Jiangsu Development, Yangzhou University, Yangzhou 225009, China)

Abstract

Improving ecological well-being performance (EWP) is the essential requirement of green transformation development and ecological civilization construction. With the help of a network DEA model and threshold panel regression model, this study evaluated urban ecological well-being performance to explore the evolution process, impact, and optimization path of urban ecological well-being performance in the Yangtze River Delta from 2001 to 2017. The findings are as follows: (1) The ecological well-being performance of all cities in the region had been steadily improving since 2001, most cities had realized the transformation from a low performance level to a higher performance level, and there was an obvious spatial mismatch between urban economic development level and ecological well-being performance. (2) A regional urban ecological well-being performance development mode was constantly optimized, sustainable urban development ability was improved, and the number of high-high (HH) mode cities was gradually increasing while the number of low-low (LL) mode cities was gradually decreasing. (3) Under the influence of threshold variables of population density, industrialization level, and environmental regulation, the impact of urbanization on ecological well-being performance had different threshold characteristics. Economic growth, industrialization, and government macro-control had significantly negative restraining effects, while consumption level, industrial structure upgrading, energy efficiency, and technological innovation had significantly positive driving effects.

Suggested Citation

  • Meijuan Hu & Suleman Sarwar & Zaijun Li, 2021. "Spatio-Temporal Differentiation Mode and Threshold Effect of Yangtze River Delta Urban Ecological Well-Being Performance Based on Network DEA," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:8:p:4550-:d:539363
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/8/4550/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/8/4550/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    2. 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.
    3. Jorgenson, Andrew K. & Alekseyko, Alina & Giedraitis, Vincentas, 2014. "Energy consumption, human well-being and economic development in central and eastern European nations: A cautionary tale of sustainability," Energy Policy, Elsevier, vol. 66(C), pages 419-427.
    4. Qunyong Wang, 2015. "Fixed-effect panel threshold model using Stata," Stata Journal, StataCorp LP, vol. 15(1), pages 121-134, March.
    5. Peter Victor, 2010. "Questioning economic growth," Nature, Nature, vol. 468(7322), pages 370-371, November.
    6. Luc Anselin, 2001. "Spatial Effects in Econometric Practice in Environmental and Resource Economics," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 705-710.
    7. Osama D. Sweidan, 2018. "Economic performance and carbon intensity of human well-being: empirical evidence from the MENA region," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 61(4), pages 699-723, March.
    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. Max-Neef, Manfred, 1995. "Economic growth and quality of life: a threshold hypothesis," Ecological Economics, Elsevier, vol. 15(2), pages 115-118, November.
    10. Common, Mick, 2007. "Measuring national economic performance without using prices," Ecological Economics, Elsevier, vol. 64(1), pages 92-102, October.
    11. 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.
    12. Niccolucci, Valentina & Pulselli, Federico M. & Tiezzi, Enzo, 2007. "Strengthening the threshold hypothesis: Economic and biophysical limits to growth," Ecological Economics, Elsevier, vol. 60(4), pages 667-672, February.
    13. Andrew K. Jorgenson, 2014. "Economic development and the carbon intensity of human well-being," Nature Climate Change, Nature, vol. 4(3), pages 186-189, March.
    14. Tone, Kaoru & Tsutsui, Miki, 2010. "Dynamic DEA: A slacks-based measure approach," Omega, Elsevier, vol. 38(3-4), pages 145-156, June.
    15. Engelbrecht, Hans-Jürgen, 2009. "Natural capital, subjective well-being, and the new welfare economics of sustainability: Some evidence from cross-country regressions," Ecological Economics, Elsevier, vol. 69(2), pages 380-388, December.
    16. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    17. Xionghe Qin & Debin Du & Mei-Po Kwan, 2019. "Spatial spillovers and value chain spillovers: evaluating regional R&D efficiency and its spillover effects in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 721-747, May.
    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. Lili Yang & Ning Ma, 2022. "Empirical Study on the Influence of Urban Environmental Industrial Structure Optimization on Ecological Landscape Greening Construction," IJERPH, MDPI, vol. 19(24), pages 1-16, December.
    2. Mingxiong Bi & Chencheng Wang & Dian Fu & Xun Tan & Shurong Yu & Junbai Pan & Kun Lv, 2022. "Chinese-Style Fiscal Decentralization, Ecological Attention of Government, and Regional Energy Intensity," Energies, MDPI, vol. 15(22), pages 1-28, November.
    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. Dandan Wu & Wei Dong, 2022. "Does Local Government’s Competitive Behavior to Attract Foreign Investment Affect Ecological Welfare Performance? Evidence from China," Sustainability, MDPI, vol. 14(19), pages 1-24, October.
    5. Zaijun Li & Xiang Zheng & Suleman Sarwar, 2022. "Spatial Measurements and Influencing Factors of Comprehensive Human Development in China," Sustainability, MDPI, vol. 14(9), pages 1-20, April.
    6. Jiayu Kang & Xuejun Duan & Ruxian Yun, 2023. "The Impact of Urbanization on Food Security: A Case Study of Jiangsu Province," Land, MDPI, vol. 12(9), pages 1-16, August.
    7. 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.
    8. 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.
    9. 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.
    10. Xiao Han & Yining Chen & Hehua Zhao, 2023. "Temporal–Spatial Evolution, Influencing Factors, and Driving Mechanisms of Environmental Regulation Performance Disparities: Evidence from China," Sustainability, MDPI, vol. 15(15), pages 1-26, July.
    11. Run Zhao & Chaofeng Shao & Rong He, 2021. "Spatiotemporal Evolution of Ecosystem Health of China’s Provinces Based on SDGs," IJERPH, MDPI, vol. 18(20), pages 1-19, October.
    12. 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.
    13. 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.
    14. Qin, Lu & Aziz, Ghazala & Hussan, Muhammad Wasim & Qadeer, Afifa & Sarwar, Suleman, 2024. "Empirical evidence of fintech and green environment: Using the green finance as a mediating variable," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 33-49.
    15. Huaming Xie & Tong Xu & Qianjiao Wu & Mengya Zhang & Ningning Tong & Ting Zhang, 2022. "Spatial and Economic Effects of Yangtze River-Huaihe River Water Transfer Project on the Transportation Accessibility of Bulk Cargo within Anhui Province, China," Sustainability, MDPI, vol. 14(12), pages 1-20, June.
    16. Abdul Sattar & Muhammad Noshab Hussain & Muhammad Ilyas, 2022. "An Impact Evaluation of Belt and Road Initiative (BRI) on Environmental Degradation," SAGE Open, , vol. 12(1), pages 21582440221, March.
    17. Liwen Sun & Ying Han, 2022. "Spatial Correlation Network Structure and Influencing Factors of Two-Stage Green Innovation Efficiency: Evidence from China," Sustainability, MDPI, vol. 14(18), pages 1-22, 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.

    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. 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.
    2. 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.
    3. 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.
    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. Lingyan Bao & Xuhui Ding & Jingxian Zhang & Dingyi Ma, 2023. "Can New Urbanization Construction Improve Ecological Welfare Performance in the Yangtze River Economic Belt?," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
    6. 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.
    7. 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.
    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. 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.
    10. 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.
    11. Alperovych, Yan & Hübner, Georges & Lobet, Fabrice, 2015. "How does governmental versus private venture capital backing affect a firm's efficiency? Evidence from Belgium," Journal of Business Venturing, Elsevier, vol. 30(4), pages 508-525.
    12. 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).
    13. 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.
    14. Yu-Chuan Chen & Yung-Ho Chiu & Tzu-Han Chang & Tai-Yu Lin, 2023. "Sustainable Development, Government Efficiency, and People’s Happiness," Journal of Happiness Studies, Springer, vol. 24(4), pages 1549-1578, April.
    15. Yung‐ho Chiu & Tai‐Yu Lin & Tzu‐Han Chang & Yi‐Nuo Lin & Shih‐Yung Chiu, 2021. "Prevaluating efficiency gains from potential mergers and acquisitions in the financial industry with the Resample Past–Present–Future data envelopment analysis approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(2), pages 369-384, March.
    16. Chen, Kuan-Chen & Lin, Sun-Yuan & Yu, Ming-Miin, 2022. "Exploring the efficiency of hospital and pharmacy utilizations in Taiwan: An application of dynamic network data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    17. Zhen Shi & Fengping Wu & Huinan Huang & Xinrui Sun & Lina Zhang, 2019. "Comparing Economics, Environmental Pollution and Health Efficiency in China," IJERPH, MDPI, vol. 16(23), pages 1-30, December.
    18. 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.
    19. Yu, Ming-Miin, 2010. "Assessment of airport performance using the SBM-NDEA model," Omega, Elsevier, vol. 38(6), pages 440-452, December.
    20. Aparicio, Juan & Kapelko, Magdalena, 2019. "Accounting for slacks to measure dynamic inefficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 278(2), pages 463-471.

    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:13:y:2021:i:8:p:4550-:d:539363. 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.