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The Efficiency of Urban–Rural Integration in the Yangtze River Economic Belt and Its Optimization

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  • Gubu Muga

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China
    Key Laboratory for Rule of Law Research, Ministry of Natural Resources, Wuhan 430074, China)

  • Shougeng Hu

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China
    Key Laboratory for Rule of Law Research, Ministry of Natural Resources, Wuhan 430074, China)

  • Zhilan Wang

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China
    Key Laboratory for Rule of Law Research, Ministry of Natural Resources, Wuhan 430074, China)

  • Luyi Tong

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China
    Key Laboratory for Rule of Law Research, Ministry of Natural Resources, Wuhan 430074, China)

  • Zongnan Hu

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China
    Key Laboratory for Rule of Law Research, Ministry of Natural Resources, Wuhan 430074, China)

  • Hui Huang

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China
    Key Laboratory for Rule of Law Research, Ministry of Natural Resources, Wuhan 430074, China)

  • Shijin Qu

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China
    Key Laboratory for Rule of Law Research, Ministry of Natural Resources, Wuhan 430074, China)

Abstract

China has entered a new stage of integrated development of urban and rural areas under the constraints of scarce land resources and the need for high-quality economic and social development. While there is concern about the state and speed of urban–rural integrated development (URID), increasing attention is being paid to efficiency improvement. This paper comprehensively measures the efficiency of URID from the input–output perspective, taking into account the impact of carbon emissions; it also studies the efficiency of URID and its developmental spatiotemporal characteristics in 73 cities within three major city clusters in the Yangtze River Economic Belt (YREB) from 2010 to 2019, and analyzes the input–output optimization strategies for URID within each of these major urban systems. The results show that (1) the comprehensive efficiency evaluation system constructed by the study can more objectively reflect the state and trends of URID. From 2010 to 2019, the efficiency of URID in the three major city clusters in the YREB showed a downward trend; in cities with better economic development, the efficiency of URID was lower than in cities with average economic development, where carbon emission indicators showed a significant impact. (2) The spatial distribution of URID efficiency in the three major city clusters in the YREB follows an inverted “U” shape; URID efficiency in the urban agglomeration in the middle reaches of the Yangtze River (MRYRUA) is higher than in the Chengyu urban agglomeration (CYUA), where it is higher than in the Yangtze River Delta urban agglomeration (YRDUA). (3) The input redundancy rates are high in the indicators for culture, sports and media, energy conservation and environmental protection, urban and rural communities, and housing security expenditures. Carbon emission redundancy has a negative impact on efficiency in URID. Based on the high redundancy rates of each input–output indicator, this paper proposes methods to optimize the efficiency of URID in each of the three major city clusters and provides directional guidance for promoting the high-quality development of regional urban–rural integration.

Suggested Citation

  • Gubu Muga & Shougeng Hu & Zhilan Wang & Luyi Tong & Zongnan Hu & Hui Huang & Shijin Qu, 2023. "The Efficiency of Urban–Rural Integration in the Yangtze River Economic Belt and Its Optimization," Sustainability, MDPI, vol. 15(3), pages 1-20, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2419-:d:1050584
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    1. Yoruk, BarIs K. & Zaim, Osman, 2005. "Productivity growth in OECD countries: A comparison with Malmquist indices," Journal of Comparative Economics, Elsevier, vol. 33(2), pages 401-420, June.
    2. Kevin Z. Chen & Rui Mao & Yunyi Zhou, 2022. "Rurbanomics for common prosperity: new approach to integrated urban-rural development," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 15(1), pages 1-16, May.
    3. Christian Fertner, 2013. "The Emergence and Consolidation of the Urban-Rural Region: Migration Patterns around Copenhagen 1986–2011," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 104(3), pages 322-337, July.
    4. Alison Caffyn & Margareta Dahlstrom, 2005. "Urban-rural interdependencies: Joining up policy in practice," Regional Studies, Taylor & Francis Journals, vol. 39(3), pages 283-296.
    5. Tone, Kaoru & Tsutsui, Miki, 2010. "An epsilon-based measure of efficiency in DEA - A third pole of technical efficiency," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1554-1563, December.
    6. Xin Wu & Peng Cui, 2016. "A Study of the Time–Space Evolution Characteristics of Urban–Rural Integration Development in a Mountainous Area Based on ESDA-GIS: The Case of the Qinling-Daba Mountains in China," Sustainability, MDPI, vol. 8(11), pages 1-17, October.
    7. Antonio Afonso & Sonia Fernandes, 2006. "Measuring local government spending efficiency: Evidence for the Lisbon region," Regional Studies, Taylor & Francis Journals, vol. 40(1), pages 39-53.
    8. Kaoru Tone & Miki Tsutsui, 2010. "An epsilon-based measure of efficiency in DEA revisited -A third pole of technical efficiency," GRIPS Discussion Papers 09-21, National Graduate Institute for Policy Studies.
    9. Ila Alam & Robin Sickles, 1998. "The Relationship Between Stock Market Returns and Technical Efficiency Innovations: Evidence from the US Airline Industry," Journal of Productivity Analysis, Springer, vol. 9(1), pages 35-51, January.
    10. 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.
    11. Tian, Yasi & Qian, Jing & Wang, Lei, 2021. "Village classification in metropolitan suburbs from the perspective of urban-rural integration and improvement strategies: A case study of Wuhan, central China," Land Use Policy, Elsevier, vol. 111(C).
    12. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    13. Lilyan E. Fulginiti & Richard K. Perrin, 1998. "Agricultural productivity in developing countries," Agricultural Economics, International Association of Agricultural Economists, vol. 19(1-2), pages 45-51, September.
    14. Charnes, A. & Cooper, W. W. & Rhodes, E., 1979. "Measuring the efficiency of decision-making units," European Journal of Operational Research, Elsevier, vol. 3(4), pages 339-338, July.
    15. Chen, Kunqiu & Long, Hualou & Liao, Liuwen & Tu, Shuangshuang & Li, Tingting, 2020. "Land use transitions and urban-rural integrated development: Theoretical framework and China’s evidence," Land Use Policy, Elsevier, vol. 92(C).
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