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Relationship between Urban Land Use Efficiency and Economic Development Level in the Beijing–Tianjin–Hebei Region

Author

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  • Sijia Li

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

  • Meichen Fu

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

  • Yi Tian

    (School of Land Science and Technology, China University of Geosciences (Beijing), Beijing 100083, China
    Beijing Key Laboratory of the Land Resources Information Research and Exploration, Beijing 100083, China)

  • Yuqing Xiong

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

  • Cankun Wei

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

Abstract

Due to limited land resources, it is necessary to balance urban economic development and efficient land use. Clarifying the relationship between the two is crucial to improving both economic efficiency and land use efficiency. Considering the undesirable output of urban land use, this paper adopts a super efficiency SBM model to quantify the urban land use efficiency (ULUE) of the Beijing–Tianjin–Hebei (BTH) region from 1999 to 2019, and analyzes the relationship between ULUE and economic development level (EDL) by combining the Tapio model and the environmental Kuznets curve (EKC) model. The results show the following: (1) During the study period, the ULUE showed a fluctuating upward trend on the temporal scale, with the lowest and highest inflection points occurring in 2002 and 2018, respectively, and a distribution pattern of “high in the southeast and low in the northwest” on the spatial scale. (2) The decoupling relationship between ULUE and EDL showed repeated fluctuations between decoupling and coupling states on the temporal scale, but the overall showed a transition trend from decoupling state to coupling state. On the spatial scale, from north to south, there were a strong decoupling state (SDS), weak decoupling state (WDS), strong decoupling state (SDS), and weak decoupling state (WDS) in order, showing a regular interval repetition distribution pattern. (3) The relationship between ULUE and EDL showed an EKC “U-shaped” curve, that is, ULUE decreases first and then increases with the increases in EDL. The results of this study can provide a reference for the coordinated and sustainable development of the BTH region.

Suggested Citation

  • Sijia Li & Meichen Fu & Yi Tian & Yuqing Xiong & Cankun Wei, 2022. "Relationship between Urban Land Use Efficiency and Economic Development Level in the Beijing–Tianjin–Hebei Region," Land, MDPI, vol. 11(7), pages 1-18, June.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:7:p:976-:d:848355
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    as
    1. Yang Zhang & Yanfang Liu & Yan Zhang & Xuesong Kong & Ying Jing & Enxiang Cai & Lingyu Zhang & Yi Liu & Zhengyu Wang & Yaolin Liu, 2019. "Spatial Patterns and Driving Forces of Conflicts among the Three Land Management Red Lines in China: A Case Study of the Wuhan Urban Development Area," Sustainability, MDPI, vol. 11(7), pages 1-17, April.
    2. Shiying Hou & Liangrong Song & Jiaqi Wang & Shujahat Ali, 2021. "How Land Finance Affects Green Economic Growth in Chinese Cities," Land, MDPI, vol. 10(8), pages 1-16, August.
    3. Tone, Kaoru & Toloo, Mehdi & Izadikhah, Mohammad, 2020. "A modified slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 287(2), pages 560-571.
    4. Yu, Junqing & Zhou, Kaile & Yang, Shanlin, 2019. "Land use efficiency and influencing factors of urban agglomerations in China," Land Use Policy, Elsevier, vol. 88(C).
    5. Xue, Dan & Yue, Li & Ahmad, Fayyaz & Draz, Muhammad Umar & Chandio, Abbas Ali & Ahmad, Munir & Amin, Waqas, 2022. "Empirical investigation of urban land use efficiency and influencing factors of the Yellow River basin Chinese cities," Land Use Policy, Elsevier, vol. 117(C).
    6. Zhang, Wenxi & Wang, Bo & Wang, Jian & Wu, Qun & Wei, Yehua Dennis, 2022. "How does industrial agglomeration affect urban land use efficiency? A spatial analysis of Chinese cities," Land Use Policy, Elsevier, vol. 119(C).
    7. Gao, Huina, 2019. "Public land leasing, public productive spending and economic growth in Chinese cities," Land Use Policy, Elsevier, vol. 88(C).
    8. Xiangzheng Deng & John Gibson, 2020. "Sustainable land use management for improving land eco-efficiency: a case study of Hebei, China," Annals of Operations Research, Springer, vol. 290(1), pages 265-277, July.
    9. Mills Busa, Julianne H., 2013. "Dynamite in the EKC tunnel? Inconsistencies in resource stock analysis under the environmental Kuznets curve hypothesis," Ecological Economics, Elsevier, vol. 94(C), pages 116-126.
    10. Chen, Yao, 2005. "Measuring super-efficiency in DEA in the presence of infeasibility," European Journal of Operational Research, Elsevier, vol. 161(2), pages 545-551, March.
    11. Esposito, Piero & Patriarca, Fabrizio & Salvati, Luca, 2018. "Tertiarization and land use change: The case of Italy," Economic Modelling, Elsevier, vol. 71(C), pages 80-86.
    12. Ajanaku, B.A. & Collins, A.R., 2021. "Economic growth and deforestation in African countries: Is the environmental Kuznets curve hypothesis applicable?," Forest Policy and Economics, Elsevier, vol. 129(C).
    13. Sun, Yifan & Ma, Anbing & Su, Haorui & Su, Shiliang & Chen, Fei & Wang, Wen & Weng, Min, 2020. "Does the establishment of development zones really improve industrial land use efficiency? Implications for China’s high-quality development policy," Land Use Policy, Elsevier, vol. 90(C).
    14. Badeeb, Ramez Abubakr & Lean, Hooi Hooi & Shahbaz, Muhammad, 2020. "Are too many natural resources to blame for the shape of the Environmental Kuznets Curve in resource-based economies?," Resources Policy, Elsevier, vol. 68(C).
    15. 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).
    16. Yin, Chenglong & Meng, Fei & Yang, Xinyue & Yang, Fengshuo & Fu, Pingjie & Yao, Guobiao & Chen, Ruishan, 2022. "Spatio-temporal evolution of urban built-up areas and analysis of driving factors —A comparison of typical cities in north and south China," Land Use Policy, Elsevier, vol. 117(C).
    17. Meng, Fanxin & Wang, Dongfang & Meng, Xiaoyan & Li, Hui & Liu, Gengyuan & Yuan, Qiuling & Hu, Yuanchao & Zhang, Yi, 2022. "Mapping urban energy–water–land nexus within a multiscale economy: A case study of four megacities in China," Energy, Elsevier, vol. 239(PB).
    18. Bao, Helen X.H. & Robinson, Guy M., 2022. "Behavioural land use policy studies: Past, present, and future," Land Use Policy, Elsevier, vol. 115(C).
    19. Fang, Hsin-Hsiung & Lee, Hsuan-Shih & Hwang, Shiuh-Nan & Chung, Cheng-Chi, 2013. "A slacks-based measure of super-efficiency in data envelopment analysis: An alternative approach," Omega, Elsevier, vol. 41(4), pages 731-734.
    20. Wanfu Jin & Chunshan Zhou & Lijia Luo, 2018. "Impact of Land Input on Economic Growth at Different Stages of Development in Chinese Cities and Regions," Sustainability, MDPI, vol. 10(8), pages 1-19, August.
    21. Wong, Zoey & Li, Rongrong & Zhang, Yidie & Kong, Qunxi & Cai, Molly, 2021. "Financial services, spatial agglomeration, and the quality of urban economic growth–based on an empirical analysis of 268 cities in China," Finance Research Letters, Elsevier, vol. 43(C).
    22. Jingxin, Gao & Jinbo, Song & Lufang, Wu, 2022. "A new methodology to measure the urban construction land-use efficiency based on the two-stage DEA model," Land Use Policy, Elsevier, vol. 112(C).
    23. Dong Feng & Jian Li & Xintao Li & Zaisheng Zhang, 2019. "The Effects of Urban Sprawl and Industrial Agglomeration on Environmental Efficiency: Evidence from the Beijing–Tianjin–Hebei Urban Agglomeration," Sustainability, MDPI, vol. 11(11), pages 1-12, May.
    24. Batara Surya & Agus Salim & Hernita Hernita & Seri Suriani & Firman Menne & Emil Salim Rasyidi, 2021. "Land Use Change, Urban Agglomeration, and Urban Sprawl: A Sustainable Development Perspective of Makassar City, Indonesia," Land, MDPI, vol. 10(6), pages 1-31, May.
    25. Shen, Liyin & Cheng, Guangyu & Du, Xiaoyun & Meng, Conghui & Ren, Yitian & Wang, Jinhuan, 2022. "Can urban agglomeration bring “1 + 1 > 2Effect”? A perspective of land resource carrying capacity," Land Use Policy, Elsevier, vol. 117(C).
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    4. Qikang Zhong & Zhe Li & Yujing He, 2023. "Coupling Evaluation and Spatial–Temporal Evolution of Land Ecosystem Services and Economic–Social Development in a City Group: The Case Study of the Chengdu–Chongqing City Group," IJERPH, MDPI, vol. 20(6), pages 1-29, March.
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    6. Xueli Zhong & Yongfeng Li, 2023. "Mediating Effect and Suppressing Effect: Intermediate Mechanism of Urban Land Use Efficiency and Economic Development," Land, MDPI, vol. 12(6), pages 1-22, May.

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