IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i18p8130-d1480087.html
   My bibliography  Save this article

Estimation of Urban High-Quality Development Level Using a Three-Stage Stacks-Based Measure Model: A Case Study of Urban Agglomerations in the Yellow River Basin

Author

Listed:
  • Sisi Liu

    (School of Economics, Lanzhou University, Lanzhou 730000, China)

  • Suchang Yang

    (School of Economics, Lanzhou University, Lanzhou 730000, China)

  • Ningyi Liu

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

Abstract

The high-quality development paradigm, which emphasizes the organic unity of efficiency, equity, and sustainability, has gained increasing global recognition as an extension of the concept of sustainable green development. In this study, we use green development efficiency as a metric of high-quality development and employ a three-stage Stacks-based Measure Model (SBM) in order to assess the true green development efficiency (GDE) levels of urban agglomerations in China’s Yellow River Basin (YRB) from 2011 to 2020. The results indicate that external environmental factors significantly impacted the green development efficiency levels of these urban agglomerations; after removing these factors, their green development efficiency shifted from trendless fluctuations to more consistent upward trends. Additionally, the disparities between different urban agglomerations are the primary sources of overall differences in green development efficiency in the YRB. Influenced by economic development levels and administrative divisions, the degree of internal development imbalance varies among urban agglomerations; however, regional disparities show a decreasing trend, indicating a catch-up effect. Based on these findings, we further propose relevant policy recommendations in this paper. The results of this study help us to understand the current status and trends of high-quality development in the urban agglomerations of the YRB, providing empirical evidence for policy formulation.

Suggested Citation

  • Sisi Liu & Suchang Yang & Ningyi Liu, 2024. "Estimation of Urban High-Quality Development Level Using a Three-Stage Stacks-Based Measure Model: A Case Study of Urban Agglomerations in the Yellow River Basin," Sustainability, MDPI, vol. 16(18), pages 1-24, September.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:18:p:8130-:d:1480087
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/18/8130/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/18/8130/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lee, Chi-Chuan & Lee, Chien-Chiang, 2022. "How does green finance affect green total factor productivity? Evidence from China," Energy Economics, Elsevier, vol. 107(C).
    2. Dagum, Camilo, 1997. "A New Approach to the Decomposition of the Gini Income Inequality Ratio," Empirical Economics, Springer, vol. 22(4), pages 515-531.
    3. Davis, James C. & Henderson, J. Vernon, 2003. "Evidence on the political economy of the urbanization process," Journal of Urban Economics, Elsevier, vol. 53(1), pages 98-125, January.
    4. Ross Levine, 1997. "Financial Development and Economic Growth: Views and Agenda," Journal of Economic Literature, American Economic Association, vol. 35(2), pages 688-726, June.
    5. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    6. Zhao, Haoran & Guo, Sen & Zhao, Huiru, 2019. "Provincial energy efficiency of China quantified by three-stage data envelopment analysis," Energy, Elsevier, vol. 166(C), pages 96-107.
    7. Li, Ye & Chen, Yiyan, 2021. "Development of an SBM-ML model for the measurement of green total factor productivity: The case of pearl river delta urban agglomeration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    8. H. Fried & C. Lovell & S. Schmidt & S. Yaisawarng, 2002. "Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 17(1), pages 157-174, January.
    9. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    10. Song, Malin & Du, Juntao & Tan, Kim Hua, 2018. "Impact of fiscal decentralization on green total factor productivity," International Journal of Production Economics, Elsevier, vol. 205(C), pages 359-367.
    11. Jing Zhang & Yang Liu & Cuicui Liu & Su Guo & Junfu Cui, 2023. "Study on the Spatial and Temporal Evolution of High-Quality Development in Nine Provinces of the Yellow River Basin," Sustainability, MDPI, vol. 15(8), pages 1-21, April.
    12. World Bank, 2012. "Inclusive Green Growth : The Pathway to Sustainable Development," World Bank Publications - Books, The World Bank Group, number 6058, April.
    13. Beck, Thorsten & Levine, Ross, 2002. "Industry growth and capital allocation:*1: does having a market- or bank-based system matter?," Journal of Financial Economics, Elsevier, vol. 64(2), pages 147-180, May.
    14. Kumbhakar,Subal C. & Lovell,C. A. Knox, 2003. "Stochastic Frontier Analysis," Cambridge Books, Cambridge University Press, number 9780521666633, June.
    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. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    2. Yuxin Fang & Hongjun Cao & Jihui Sun, 2022. "Impact of Artificial Intelligence on Regional Green Development under China’s Environmental Decentralization System—Based on Spatial Durbin Model and Threshold Effect," IJERPH, MDPI, vol. 19(22), pages 1-27, November.
    3. Junqi Wen & Yong Lan & Guoqin Bu, 2024. "Do Innovation and Entrepreneurship Support Policies Promote Urban Green Transformation?—The Mediating Role of Fiscal Technology Expenditure," Sustainability, MDPI, vol. 16(7), pages 1-24, March.
    4. Geng Peng & Xiaodan Zhang & Fang Liu & Lijuan Ruan & Kaiyou Tian, 2021. "Spatial–temporal evolution and regional difference decomposition of urban environmental governance efficiency in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(6), pages 8974-8990, June.
    5. Juan Tang & Fangming Qin, 2022. "Analyzing the impact of local government competition on green total factor productivity from the factor market distortion perspective: based on the three stage DEA model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(12), pages 14298-14326, December.
    6. Pei Zhao & Junhua Guo & Yang Wang, 2023. "How Does the Digital Economy Affect Green Development?—Evidence from 284 Cities in China," Sustainability, MDPI, vol. 15(15), pages 1-24, July.
    7. Jianqing Zhang & Song Wang & Peilei Yang & Fei Fan & Xueli Wang, 2020. "Analysis of Scale Factors on China’s Sustainable Development Efficiency Based on Three-Stage DEA and a Double Threshold Test," Sustainability, MDPI, vol. 12(6), pages 1-26, March.
    8. Qing Yin & Yadong Wang & Kaidi Wan & Delu Wang, 2020. "Evaluation of Green Transformation Efficiency in Chinese Mineral Resource-Based Cities Based on a Three-Stage DEA Method," Sustainability, MDPI, vol. 12(22), pages 1-29, November.
    9. Carla Henriques & Clara Viseu, 2022. "Are ERDFs Devoted to Boosting ICTs in SMEs Inefficient? A Three-Stage SBM Approach," Sustainability, MDPI, vol. 14(17), pages 1-20, August.
    10. Lv, Chengchao & Song, Jie & Lee, Chien-Chiang, 2022. "Can digital finance narrow the regional disparities in the quality of economic growth? Evidence from China," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 502-521.
    11. Zhang, Tiantian & Nakagawa, Kei & Matsumoto, Ken'ichi, 2023. "Evaluating solar photovoltaic power efficiency based on economic dimensions for 26 countries using a three-stage data envelopment analysis," Applied Energy, Elsevier, vol. 335(C).
    12. Meng Ye & Yanan Jin & Fumin Deng, 2022. "Municipal waste treatment efficiency in 29 OECD countries using three-stage Bootstrap-DEA model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(9), pages 11369-11391, September.
    13. Zhang, Caiqing & Chen, Panyu, 2022. "Applying the three-stage SBM-DEA model to evaluate energy efficiency and impact factors in RCEP countries," Energy, Elsevier, vol. 241(C).
    14. Gaopeng Jiang & Rui Jin & Cuijie Lu & Menglong Gao & Jie Li, 2024. "Provincial Coal Flow Efficiency of China Quantified by Three-Stage Data-Envelopment Analysis," Sustainability, MDPI, vol. 16(11), pages 1-21, May.
    15. Zhong Fang & Hua Bai & Yuriy Bilan, 2019. "Evaluation Research of Green Innovation Efficiency in China’s Heavy Polluting Industries," Sustainability, MDPI, vol. 12(1), pages 1-21, December.
    16. Zhen Zeng & Xianzhong Mu, 2024. "Can the Development of Renewable Energy Improve Total-Factor Carbon Emissions Efficiency? Evidence from 30 Provinces in China," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 14(6), pages 1-16.
    17. Ning Li & Ruiling Li & Shangshang Yu, 2024. "Managerial Myopia and Enterprise Green Total Factor Productivity: Perspectives on the Supervisory Effect and Incentive Effect," Sustainability, MDPI, vol. 16(16), pages 1-21, August.
    18. Hongxia Xu & Ning Xu, 2024. "Industrial Co-Agglomeration and Urban Green Total Factor Productivity: Multidimensional Mechanism and Spatial Effect," Sustainability, MDPI, vol. 16(21), pages 1-23, October.
    19. Guang Chen & Akira Hibiki, 2022. "Can the Carbon Emission Trading Scheme Influence Industrial Green Production in China?," Sustainability, MDPI, vol. 14(23), pages 1-22, November.
    20. Jiyou Xiang & Linfang Tan & Da Gao, 2024. "Unlocking Green Patterns: The Local and Spatial Impacts of Green Finance on Urban Green Total Factor Productivity," Sustainability, MDPI, vol. 16(18), pages 1-17, 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:18:p:8130-:d:1480087. 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.