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An Empirical Study on the Mismatch Phenomenon in Utilizing Urban Land Resources in China

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  • Liyin Shen

    (School of Management Science and Real Estate, Chongqing University, Chongqing 400045, China
    School of Spatial Planning and Design, Hangzhou City University, Hangzhou 310015, China)

  • Lingyu Zhang

    (School of Management Science and Real Estate, Chongqing University, Chongqing 400045, China)

  • Haijun Bao

    (School of Spatial Planning and Design, Hangzhou City University, Hangzhou 310015, China)

  • Siuwai Wong

    (Department of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong, China)

  • Xiaoyun Du

    (School of Management Engineering, Zhengzhou University, Zhengzhou 450001, China)

  • Xiaoxuan Wei

    (School of Management Science and Real Estate, Chongqing University, Chongqing 400045, China)

Abstract

Effective land use contributes to sustainable urban development. However, there are various reports suggesting that urban land resources used mismatch to different extents in many Chinese cities. This study measures the degree of the mismatch phenomenon in utilizing urban land resources from a supply–demand perspective, and a mismatching coefficient, namely land resource mismatch (LRM), is adopted as the measurement. The data used for the empirical analysis are from a sample of 35 cities in China. The empirical study shows the effectiveness of employing the mismatching coefficient LRM model in evaluating the degree of the mismatch phenomenon in utilizing urban land resources. The research findings suggest the following: (1) Overall, the mismatch phenomenon in utilizing urban land resources is significant in China in the form of either supply shortage or over-supply. (2) The degree of the mismatch phenomenon is different between different types of land, with the land for administration and public services showing more serious mismatching and the land for commercial and business facilities showing less mismatching. (3) There are significant differences both in the type and the degree of land use mismatch among different cities, which are contributed largely by the intensity of local government’s controlling and planning role on land resources and the maturity of applying market mechanisms. The results from this study can inform the government of the importance and necessity of adopting effective policy measures for mitigating the mismatch phenomenon in utilizing urban land resources. The research method applied in this study can be applied in a larger context internationally for understanding the effectiveness of utilizing urban land resources.

Suggested Citation

  • Liyin Shen & Lingyu Zhang & Haijun Bao & Siuwai Wong & Xiaoyun Du & Xiaoxuan Wei, 2023. "An Empirical Study on the Mismatch Phenomenon in Utilizing Urban Land Resources in China," Land, MDPI, vol. 12(6), pages 1-29, June.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:6:p:1196-:d:1165837
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    References listed on IDEAS

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    1. Song, Yang & Yeung, Godfrey & Zhu, Daolin & Xu, Yang & Zhang, Lixin, 2022. "Efficiency of urban land use in China’s resource-based cities, 2000–2018," Land Use Policy, Elsevier, vol. 115(C).
    2. Chang-Tai Hsieh & Enrico Moretti, 2019. "Housing Constraints and Spatial Misallocation," American Economic Journal: Macroeconomics, American Economic Association, vol. 11(2), pages 1-39, April.
    3. Xie, Rui & Yao, Siling & Han, Feng & Zhang, Qi, 2022. "Does misallocation of land resources reduce urban green total factor productivity? An analysis of city-level panel data in China," Land Use Policy, Elsevier, vol. 122(C).
    4. Wei Wang & Zihao Zhou & Jun Chen & Wen Cheng & Jian Chen, 2021. "Analysis of Location Selection of Public Service Facilities Based on Urban Land Accessibility," IJERPH, MDPI, vol. 18(2), pages 1-20, January.
    5. Aidong Zhao & Jinsheng Huang & Fugang Gao & Hao Meng & Chong Peng, 2023. "Regional allocation of industrial land in industrializing China: does spatial mismatch exist?," Landscape Research, Taylor & Francis Journals, vol. 48(3), pages 396-411, April.
    6. Elena Batunova & Maria Gunko, 2018. "Urban shrinkage: an unspoken challenge of spatial planning in Russian small and medium-sized cities," European Planning Studies, Taylor & Francis Journals, vol. 26(8), pages 1580-1597, August.
    7. Xin Zhang & Jinghu Pan, 2021. "Spatiotemporal Pattern and Driving Factors of Urban Sprawl in China," Land, MDPI, vol. 10(11), pages 1-16, November.
    8. Virgiliu Midrigan & Daniel Yi Xu, 2014. "Finance and Misallocation: Evidence from Plant-Level Data," American Economic Review, American Economic Association, vol. 104(2), pages 422-458, February.
    9. Zhang, Chao & Anadon, Laura Diaz, 2014. "A multi-regional input–output analysis of domestic virtual water trade and provincial water footprint in China," Ecological Economics, Elsevier, vol. 100(C), pages 159-172.
    10. Sun, Wenwen & Jin, Hongyu & Chen, Yan & Hu, Xin & Li, Zhuoran & Kidd, Akari & Liu, Chunlu, 2021. "Spatial mismatch analyses of school land in China using a spatial statistical approach," Land Use Policy, Elsevier, vol. 108(C).
    11. Yang, Guo-liang & Fukuyama, Hirofumi & Chen, Kun, 2019. "Investigating the regional sustainable performance of the Chinese real estate industry: A slack-based DEA approach," Omega, Elsevier, vol. 84(C), pages 141-159.
    12. Biitir, Samuel B. & Nara, Baslyd B. & Ameyaw, Stephen, 2017. "Integrating decentralised land administration systems with traditional land governance institutions in Ghana: Policy and praxis," Land Use Policy, Elsevier, vol. 68(C), pages 402-414.
    13. 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).
    14. Wu, Yuzhe & Shan, Jiaming & Choguill, Charles L., 2021. "Combining behavioral interventions with market forces in the implementation of land use planning in China: A theoretical framework embedded with nudge," Land Use Policy, Elsevier, vol. 108(C).
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    1. Xinyu Shan & Zihan Li & Xinyi Shao & Xinyi Wang & Zhe Feng & Kening Wu, 2024. "How Do Population Changes and Land Use Policies Affect the Relationship between the Urban Economy and Public Services?," Land, MDPI, vol. 13(4), pages 1-20, April.

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