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Temporal–Spatial Variations and Convergence Analysis of Land Use Eco-Efficiency in the Urban Agglomerations of the Yellow River Basin in China

Author

Listed:
  • Fanchao Kong

    (School of Statistics and Mathematics, Shandong University of Finance and Economics, Jinan 250014, China)

  • Kaixiao Zhang

    (School of Statistics and Mathematics, Shandong University of Finance and Economics, Jinan 250014, China)

  • Hengshu Fu

    (School of Statistics and Mathematics, Shandong University of Finance and Economics, Jinan 250014, China)

  • Lina Cui

    (School of Statistics and Mathematics, Shandong University of Finance and Economics, Jinan 250014, China)

  • Yang Li

    (School of Statistics and Mathematics, Shandong University of Finance and Economics, Jinan 250014, China)

  • Tengteng Wang

    (School of Statistics and Mathematics, Shandong University of Finance and Economics, Jinan 250014, China)

Abstract

Achieving synergistic development of efficient urban land use and the natural environment is crucial in promoting green urbanization. The assessment of land use eco-efficiency (LUEE) and its temporal–spatial changes provides an effective means of quantifying the relationship between the urban ecological environment and land use. Targeting 55 selected cities in the Yellow River Basin (YRB), in this study, we utilize the Super-EBM method to gauge the LUEE. We explore the temporal patterns and the spatial convergence of LUEE utilizing kernel density estimation and spatial econometric methods. Considering the resource and environmental costs of land use, we assumed the industrial pollutant emissions generated during urban land use as the undesired outputs and designed a framework for measuring the level of LUEE under double constraints, which theoretically revealed the formation process and spatial convergence mechanism of LUEE. The results show the following: (1) Throughout the sample period, the LUEE of the YRB urban agglomeration decreased from 0.158 in 2009 to 0.094 in 2020, indicating a decreasing spatial disparity in LUEE over time. Notably, the Lanxi urban cluster exhibited the largest gap in LUEE, whereas the Guanzhong Plain urban agglomeration displayed the smallest gap. The hyper-variable density exceeded the inter-group gap as the main factor leading to the difference in LUEE. (2) Although the LUEE of urban agglomerations has increased, there still exists a noticeable polarization phenomenon. (3) The LUEE of YRB demonstrates a pattern of conditional convergence and exerts a significant spatial spillover effect. Over time, the LUEE of YRB will tend towards an individual steady state. The findings have implications for strengthening linkage and synergy among cities in YRB, promoting factor integration across administrative regions, and formulating heterogeneous policies.

Suggested Citation

  • Fanchao Kong & Kaixiao Zhang & Hengshu Fu & Lina Cui & Yang Li & Tengteng Wang, 2023. "Temporal–Spatial Variations and Convergence Analysis of Land Use Eco-Efficiency in the Urban Agglomerations of the Yellow River Basin in China," Sustainability, MDPI, vol. 15(16), pages 1-20, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12182-:d:1213743
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    as
    1. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    2. Jing Huang & Dongqian Xue, 2019. "Study on Temporal and Spatial Variation Characteristics and Influencing Factors of Land Use Efficiency in Xi’an, China," Sustainability, MDPI, vol. 11(23), pages 1-16, November.
    3. Feng, Wei & Li, Jiajia, 2021. "International technology spillovers and innovation quality: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 289-308.
    4. Xie, Hualin & Chen, Qianru & Wang, Wei & He, Yafen, 2018. "Analyzing the green efficiency of arable land use in China," Technological Forecasting and Social Change, Elsevier, vol. 133(C), pages 15-28.
    5. Zhao, Zhe & Bai, Yuping & Wang, Guofeng & Chen, Jiancheng & Yu, Jiangli & Liu, Wei, 2018. "Land eco-efficiency for new-type urbanization in the Beijing-Tianjin-Hebei Region," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 19-26.
    6. 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.
    7. Liu, Yuan & Gao, Hong & Cai, Jiming & Lu, Yang & Fan, Zhenyu, 2022. "Urbanization path, housing price and land finance: International experience and China’s facts," Land Use Policy, Elsevier, vol. 113(C).
    8. Liyuan Zhang & Xiang Ma & Young-Seok Ock & Lingli Qing, 2022. "Research on Regional Differences and Influencing Factors of Chinese Industrial Green Technology Innovation Efficiency Based on Dagum Gini Coefficient Decomposition," Land, MDPI, vol. 11(1), pages 1-20, January.
    9. Koroso, Nesru H., 2023. "Urban land policy and urban land use efficiency: An analysis based on remote sensing and institutional credibility thesis," Land Use Policy, Elsevier, vol. 132(C).
    10. Zhengda Li & Dong Li & Wanping Yang & Xiaoyan Qi, 2022. "The spatial-temporal evolution and spatial convergence of ecological total factor productivity in china," Energy & Environment, , vol. 33(4), pages 617-639, June.
    11. Long, X. & Ji, Xi & Ulgiati, S., 2017. "Is urbanization eco-friendly? An energy and land use cross-country analysis," Energy Policy, Elsevier, vol. 100(C), pages 387-396.
    12. Liu, Yansui, 2018. "Introduction to land use and rural sustainability in China," Land Use Policy, Elsevier, vol. 74(C), pages 1-4.
    13. Hukkinen, Janne, 2001. "Eco-efficiency as abandonment of nature," Ecological Economics, Elsevier, vol. 38(3), pages 311-315, September.
    14. Kun Ge & Shan Zou & Danling Chen & Xinhai Lu & Shangan Ke, 2021. "Research on the Spatial Differences and Convergence Mechanism of Urban Land Use Efficiency under the Background of Regional Integration: A Case Study of the Yangtze River Economic Zone, China," Land, MDPI, vol. 10(10), pages 1-20, October.
    15. Ning Xu & Desen Zhao & Wenjie Zhang & He Zhang & Wanxu Chen & Min Ji & Ming Liu, 2022. "Innovation-Driven Development and Urban Land Low-Carbon Use Efficiency: A Policy Assessment from China," Land, MDPI, vol. 11(10), pages 1-21, September.
    16. Mengchao Yao & Yihua Zhang, 2021. "Evaluation and Optimization of Urban Land-Use Efficiency: A Case Study in Sichuan Province of China," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    17. Lv, Chengchao & Bian, Baocheng & Lee, Chien-Chiang & He, Zhiwen, 2021. "Regional gap and the trend of green finance development in China," Energy Economics, Elsevier, vol. 102(C).
    18. Peter Wood, 2006. "Urban Development and Knowledge‐Intensive Business Services: Too Many Unanswered Questions?," Growth and Change, Wiley Blackwell, vol. 37(3), pages 335-361, September.
    19. Ouyang, Xiao & Tang, Lisha & Wei, Xiao & Li, Yonghui, 2021. "Spatial interaction between urbanization and ecosystem services in Chinese urban agglomerations," Land Use Policy, Elsevier, vol. 109(C).
    20. Kuang, Bing & Lu, Xinhai & Zhou, Min & Chen, Danling, 2020. "Provincial cultivated land use efficiency in China: Empirical analysis based on the SBM-DEA model with carbon emissions considered," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    21. Adnan Abbas & Chengyi Zhao & Waheed Ullah & Riaz Ahmad & Muhammad Waseem & Jianting Zhu, 2021. "Towards Sustainable Farm Production System: A Case Study of Corn Farming," Sustainability, MDPI, vol. 13(16), pages 1-12, August.
    22. Elahi, Ehsan & Khalid, Zainab & Zhang, Zhixin, 2022. "Understanding farmers’ intention and willingness to install renewable energy technology: A solution to reduce the environmental emissions of agriculture," Applied Energy, Elsevier, vol. 309(C).
    23. Guo, Zelian & Hu, Yecui & Zheng, Xinqi, 2020. "Evaluating the effectiveness of land use master plans in built-up land management: A case study of the Jinan Municipality, eastern China," Land Use Policy, Elsevier, vol. 91(C).
    24. Qian Wang & Yanan Wang & Wei Chen & Xue Zhou & Minjuan Zhao, 2021. "Factors affecting industrial land use efficiency in China: analysis from government and land market," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(7), pages 10973-10993, July.
    25. Rongtian Zhang & Jianfei Lu, 2022. "Spatial–Temporal Pattern and Convergence Characteristics of Provincial Urban Land Use Efficiency under Environmental Constraints in China," IJERPH, MDPI, vol. 19(17), pages 1-15, August.
    26. Dagum, Camilo, 1997. "A New Approach to the Decomposition of the Gini Income Inequality Ratio," Empirical Economics, Springer, vol. 22(4), pages 515-531.
    27. Yumeng Gu & Chunjie Qi & Fuxing Liu & Quanyong Lei & Yuchao Ding, 2023. "Spatiotemporal Evolution and Spatial Convergence Analysis of Total Factor Productivity of Citrus in China," Agriculture, MDPI, vol. 13(6), pages 1-14, June.
    28. Bingqing Li & Zhanqi Wang & Ji Chai, 2022. "Verifying the Synthesized Effects of Intensive Urban Land Use on Quality of Life, Ecology, and Urban-Land-Use Scale in China," Land, MDPI, vol. 11(5), pages 1-18, May.
    29. Tian Ma & Yisheng Liu & Meng Yang, 2022. "Spatial-Temporal Heterogeneity for Commercial Building Carbon Emissions in China: Based the Dagum Gini Coefficient," Sustainability, MDPI, vol. 14(9), pages 1-18, April.
    30. Xie, Xue & Fang, Bin & Xu, Hanzeyu & He, Shasha & Li, Xin, 2021. "Study on the coordinated relationship between Urban Land use efficiency and ecosystem health in China," Land Use Policy, Elsevier, vol. 102(C).
    31. Timothy D. Searchinger & Stefan Wirsenius & Tim Beringer & Patrice Dumas, 2018. "Assessing the efficiency of changes in land use for mitigating climate change," Nature, Nature, vol. 564(7735), pages 249-253, December.
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