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Conflict or Coordination? Analysis of Spatio-Temporal Coupling Relationship between Urbanization and Eco-Efficiency: A Case Study of Urban Agglomerations in the Yellow River Basin, China

Author

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  • Yuhan Ren

    (School of Land Science and Technology, China University of Geosciences, Beijing 100083, China)

  • Yuping Bai

    (School of Land Science and Technology, China University of Geosciences, Beijing 100083, China
    Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Yihan Liu

    (School of Land Science and Technology, China University of Geosciences, Beijing 100083, China)

  • Jiale Wang

    (School of Land Science and Technology, China University of Geosciences, Beijing 100083, China)

  • Fan Zhang

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100149, China)

  • Zheng Wang

    (School of Land Science and Technology, China University of Geosciences, Beijing 100083, China)

Abstract

The coordination and coupling of new urbanization and the ecological environment is of great significance for the high-quality development of the Yellow River basin, China. In this paper, the urbanization efficiency and ecological efficiency of seven urban agglomerations in the Yellow River basin, China, from 2006 to 2019 are calculated at the city level. Spatial correlation analysis between urbanization efficiency and ecological efficiency is carried out by applying the spatial association model. Then, the spatio-temporal coupling relationship is estimated based on the relative development and spatial coupling models. The results show that urbanization efficiency has been rising, from 0.83 in 2006 to 0.91 in 2019. Ecological efficiency first stabilized and then rose from 1.03 in 2006 to 1.23 in 2019. Spatially, cities with high urbanization efficiency development are increasing from west to east. Cities with high eco-efficient developments are increasing from northwest to southeast. The coupling relationship between the two is an N-type relationship, with the trend of first rising, then falling, and then rising. Spatially, the coupling degree of the upper and lower reaches of the Yellow River basin, China, is higher than that of the middle reaches of the Yellow River basin, China. Finally, this paper puts forward policy recommendations on the coordinated and coupling development of urban agglomerations in the Yellow River basin, China, from the perspective of the future differentiated development of different urban agglomerations.

Suggested Citation

  • Yuhan Ren & Yuping Bai & Yihan Liu & Jiale Wang & Fan Zhang & Zheng Wang, 2022. "Conflict or Coordination? Analysis of Spatio-Temporal Coupling Relationship between Urbanization and Eco-Efficiency: A Case Study of Urban Agglomerations in the Yellow River Basin, China," Land, MDPI, vol. 11(6), pages 1-19, June.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:6:p:882-:d:835565
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    References listed on IDEAS

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    1. Yitian Ren & Heng Li & Liyin Shen & Yu Zhang & Yang Chen & Jinhuan Wang, 2018. "What Is the Efficiency of Fast Urbanization? A China Study," Sustainability, MDPI, vol. 10(9), pages 1-26, September.
    2. Yu, Binbin, 2021. "Ecological effects of new-type urbanization in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    3. Leleu, Herve, 2006. "A linear programming framework for free disposal hull technologies and cost functions: Primal and dual models," European Journal of Operational Research, Elsevier, vol. 168(2), pages 340-344, January.
    4. Picazo-Tadeo, Andrés J. & Beltrán-Esteve, Mercedes & Gómez-Limón, José A., 2012. "Assessing eco-efficiency with directional distance functions," European Journal of Operational Research, Elsevier, vol. 220(3), pages 798-809.
    5. Lifeng Guo & Ahmed Farouk, 2021. "Coupling Coordination Degree between New Urbanization and Eco-Environment in Shaanxi, China, and Its Influencing Factors," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-8, August.
    6. Zijing Wu & Zhijian Li & Hui Zeng, 2020. "Using Remote Sensing Data to Study the Coupling Relationship between Urbanization and Eco-Environment Change: A Case Study in the Guangdong-Hong Kong-Macao Greater Bay Area," Sustainability, MDPI, vol. 12(19), pages 1-19, September.
    7. Brülhart, Marius & Mathys, Nicole A., 2008. "Sectoral agglomeration economies in a panel of European regions," Regional Science and Urban Economics, Elsevier, vol. 38(4), pages 348-362, July.
    8. 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.
    9. Cook, Wade D. & Seiford, Larry M., 2009. "Data envelopment analysis (DEA) - Thirty years on," European Journal of Operational Research, Elsevier, vol. 192(1), pages 1-17, January.
    10. 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.
    11. Zhenfeng Shao & Lin Ding & Deren Li & Orhan Altan & Md. Enamul Huq & Congmin Li, 2020. "Exploring the Relationship between Urbanization and Ecological Environment Using Remote Sensing Images and Statistical Data: A Case Study in the Yangtze River Delta, China," Sustainability, MDPI, vol. 12(14), pages 1-28, July.
    12. Tang, Zi, 2015. "An integrated approach to evaluating the coupling coordination between tourism and the environment," Tourism Management, Elsevier, vol. 46(C), pages 11-19.
    13. Su, Huidong & Wang, Wei & Jia, Yangwen & Han, Shin-Chan & Gao, Hong & Niu, Cunwen & Ni, Guangheng, 2021. "Impact of urbanization on precipitation and temperature over a lake-marsh wetland: A case study in Xiong’an New Area, China," Agricultural Water Management, Elsevier, vol. 243(C).
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    Cited by:

    1. Kunjie Peng & Xiaorong He & Chunxiao Xu, 2023. "Coupling Coordination Relationship and Dynamic Response between Urbanization and Urban Resilience: Case of Yangtze River Delta," Sustainability, MDPI, vol. 15(3), pages 1-25, February.
    2. Ming Hao & Gang Li & Changyou Chen & Liutao Liang, 2022. "A Coupling Relationship between New-Type Urbanization and Tourism Resource Conversion Efficiency: A Case Study of the Yellow River Basin in China," Sustainability, MDPI, vol. 14(21), pages 1-24, October.
    3. Fei Chen & Guotong Qiao & Na Wang & Dandan Zhang, 2022. "Study on the Influence of Population Urbanization on Agricultural Eco-Efficiency and on Agricultural Eco-Efficiency Remeasuring in China," Sustainability, MDPI, vol. 14(20), pages 1-18, October.
    4. Hui Zhang & Yingqi Sun & Zhaoying Fan & Zhi Long & Shilong Wan & Zilong Zhang & Xingpeng Chen, 2023. "Analysis of County-Scale Eco-Efficiency and Spatiotemporal Characteristics in China," Land, MDPI, vol. 12(2), pages 1-21, February.
    5. Mei Yang & Mengyun Jiao & Jinyu Zhang, 2022. "Coupling Coordination and Interactive Response Analysis of Ecological Environment and Urban Resilience in the Yangtze River Economic Belt," IJERPH, MDPI, vol. 19(19), pages 1-23, September.

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