IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i12p2063-d1534388.html
   My bibliography  Save this article

Research on a Multidimensional Dynamic Environmental Assessment: Based on the PSR Analysis Framework and Bootstrap-DEA Model, in the Yellow River Basin, China

Author

Listed:
  • Jiaxin Hao

    (School of Economics and Management, Northwest University, Xi’an 710127, China)

  • Yan Zhang

    (School of Economics and Management, Northwest University, Xi’an 710127, China)

  • Lihong Guo

    (School of Economics and Management, Northwest University, Xi’an 710127, China)

Abstract

An environmental assessment is a complex and interrelated entity. A multidimensional and dynamic environmental assessment can directly reflect the effectiveness and capacity of the ecological governance system. Assessing the factors influencing the resource–environment coupling efficiency in the Yellow River Basin is crucial for advancing environmental management and regulation, enhancing public participation and transparency, as well as fostering international exchange and cooperation. This study uses the PSR analysis framework and the Bootstrap-DEA model to measure the resource–environment coupling efficiency. It employs spatial autocorrelation, kernel density estimation, Dagum Gini coefficient analysis, σ-convergence, and spatial beta convergence methods to explore the multi-level spatial pattern and convergence trend of the resource–environment coupling efficiency. The findings indicate that overall resource–environment coupling efficiency exhibits minimal temporal variation characterized by a hierarchy of upstream > downstream > middle reaches, alongside a spatial differentiation trend marked by small agglomeration coupled with significant dispersion. Additionally, regional disparities reveal a distribution pattern of downstream > middle reaches > upstream. Notably, while there are no σ-convergence characteristics, evidence supporting spatial β-convergence suggests that these efficiencies will converge toward a steady-state level over time.

Suggested Citation

  • Jiaxin Hao & Yan Zhang & Lihong Guo, 2024. "Research on a Multidimensional Dynamic Environmental Assessment: Based on the PSR Analysis Framework and Bootstrap-DEA Model, in the Yellow River Basin, China," Land, MDPI, vol. 13(12), pages 1-25, December.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:12:p:2063-:d:1534388
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/12/2063/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/13/12/2063/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gene M. Grossman & Alan B. Krueger, 1995. "Economic Growth and the Environment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 353-377.
    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. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    4. Cheng, Zhonghua & Liu, Jun & Li, Lianshui & Gu, Xinbei, 2020. "Research on meta-frontier total-factor energy efficiency and its spatial convergence in Chinese provinces," Energy Economics, Elsevier, vol. 86(C).
    5. Xu, Zhenci & Zhang, Di & McCord, Paul & Gong, Mimi & Liu, Jianguo, 2019. "Shift in a national virtual energy network," Applied Energy, Elsevier, vol. 242(C), pages 561-569.
    6. World Commission on Environment and Development,, 1987. "Our Common Future," OUP Catalogue, Oxford University Press, number 9780192820808, Decembrie.
    7. Caradonna, Jeremy L., 2014. "Sustainability: A History," OUP Catalogue, Oxford University Press, number 9780199372409, Decembrie.
    8. Songul Cinaroglu, 2024. "Efficiency effects of public hospital closures in the context of public hospital reform: a multistep efficiency analysis," Health Care Management Science, Springer, vol. 27(1), pages 88-113, March.
    9. Xiao Chen & Fangyi Rong & Shenghui Li, 2024. "Driving Force–Pressure–State–Impact–Response-Based Evaluation of Rural Human Settlements’ Resilience and Their Influencing Factors: Evidence from Guangdong, China," Sustainability, MDPI, vol. 16(2), pages 1-18, January.
    10. Patrick Schroeder & Kartika Anggraeni & Uwe Weber, 2019. "The Relevance of Circular Economy Practices to the Sustainable Development Goals," Journal of Industrial Ecology, Yale University, vol. 23(1), pages 77-95, February.
    11. Dagum, Camilo, 1997. "A New Approach to the Decomposition of the Gini Income Inequality Ratio," Empirical Economics, Springer, vol. 22(4), pages 515-531.
    12. David Niemeijer & Rudolf Groot, 2008. "Framing environmental indicators: moving from causal chains to causal networks," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 10(1), pages 89-106, February.
    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. Halkos, George & Tzeremes, Nickolaos, 2011. "A conditional full frontier modelling for analyzing environmental efficiency and economic growth," MPRA Paper 32839, University Library of Munich, Germany.
    2. Yang Li & An-Chi Liu & Shu-Mei Wang & Yiting Zhan & Jingran Chen & Hsiao-Fen Hsiao, 2022. "A Study of Total-Factor Energy Efficiency for Regional Sustainable Development in China: An Application of Bootstrapped DEA and Clustering Approach," Energies, MDPI, vol. 15(9), pages 1-13, April.
    3. Magdalena Cyrek & Barbara Fura, 2019. "Employment for Sustainable Development: Sectoral Efficiencies in EU Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 277-318, May.
    4. Yang Li & An-Chi Liu & Yi-Ying Yu & Yueru Zhang & Yiting Zhan & Wen-Cheng Lin, 2022. "Bootstrapped DEA and Clustering Analysis of Eco-Efficiency in China’s Hotel Industry," Sustainability, MDPI, vol. 14(5), pages 1-16, March.
    5. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499.
    6. Pishchulov, Grigory & Trautrims, Alexander & Chesney, Thomas & Gold, Stefan & Schwab, Leila, 2019. "The Voting Analytic Hierarchy Process revisited: A revised method with application to sustainable supplier selection," International Journal of Production Economics, Elsevier, vol. 211(C), pages 166-179.
    7. Daniel Fiorino, 2011. "Explaining national environmental performance: approaches, evidence, and implications," Policy Sciences, Springer;Society of Policy Sciences, vol. 44(4), pages 367-389, November.
    8. Ruijing Zheng & Yu Cheng & Haimeng Liu & Wei Chen & Xiaodong Chen & Yaping Wang, 2022. "The Spatiotemporal Distribution and Drivers of Urban Carbon Emission Efficiency: The Role of Technological Innovation," IJERPH, MDPI, vol. 19(15), pages 1-22, July.
    9. H Fukuyama & W L Weber, 2009. "Estimating indirect allocative inefficiency and productivity change," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(11), pages 1594-1608, November.
    10. Zhou, Xiaoyan & Zhang, Jie & Li, Junpeng, 2013. "Industrial structural transformation and carbon dioxide emissions in China," Energy Policy, Elsevier, vol. 57(C), pages 43-51.
    11. María Victoria Uribe‐Bohorquez & Jennifer Martínez‐Ferrero & Isabel‐María García‐Sánchez, 2019. "Women on boards and efficiency in a business‐orientated environment," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 26(1), pages 82-96, January.
    12. Fadzlan Sufian & Fakarudin Kamarudin, 2014. "The impact of ownership structure on bank productivity and efficiency: Evidence from semi-parametric Malmquist Productivity Index," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-27, December.
    13. Long Qian & Yunjie Zhou & Ying Sun, 2023. "Regional Differences, Distribution Dynamics, and Convergence of the Green Total Factor Productivity of China’s Cities under the Dual Carbon Targets," Sustainability, MDPI, vol. 15(17), pages 1-26, August.
    14. Alessandra Cepparulo & Gilles Mourre, 2020. "How and How Much? The Growth-Friendliness of Public Spending through the Lens," European Economy - Discussion Papers 132, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    15. Costantini, Valeria & Monni, Salvatore, 2008. "Environment, human development and economic growth," Ecological Economics, Elsevier, vol. 64(4), pages 867-880, February.
    16. Nguyen, Bao Hoang & Simar, Léopold & Zelenyuk, Valentin, 2022. "Data sharpening for improving central limit theorem approximations for data envelopment analysis–type efficiency estimators," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1469-1480.
    17. Isabel-María García-Sánchez & Luis Rodríguez-Domínguez & Javier Parra-Domínguez, 2013. "Yearly evolution of police efficiency in Spain and explanatory factors," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 21(1), pages 31-62, January.
    18. Santos, Joana & Simões, Pedro & Costa, Álvaro & Cunha Marques, Rui, 2010. "Efficiency of the Portuguese metros. is it different from other European metros?," MPRA Paper 34904, University Library of Munich, Germany.
    19. Kristof De Witte & Rui Marques, 2010. "Designing performance incentives, an international benchmark study in the water sector," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 18(2), pages 189-220, June.
    20. Xiaodong Chen & Anda Guo & Jiahao Zhu & Fang Wang & Yanqiu He, 2022. "Accessing performance of transport sector considering risks of climate change and traffic accidents: joint bounded-adjusted measure and Luenberger decomposition," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(1), pages 115-138, March.

    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:13:y:2024:i:12:p:2063-:d:1534388. 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.