IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v10y2021i5p543-d558136.html
   My bibliography  Save this article

The Spatial Effect of Administrative Division on Land-Use Intensity

Author

Listed:
  • Pengrui Wang

    (Department of Public Management-Land Management, Huazhong Agricultural University, Wuhan 430070, China)

  • Chen Zeng

    (Department of Public Management-Land Management, Huazhong Agricultural University, Wuhan 430070, China)

  • Yan Song

    (Department of City and Regional Planning, University of North Carolina-Chapel Hill, Chapel Hill, NC 27599, USA)

  • Long Guo

    (Department of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China)

  • Wenping Liu

    (College of Horticulture & Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, China)

  • Wenting Zhang

    (Department of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China)

Abstract

Land-use intensity (LUI) is one of the most direct manifestations of regional land use efficiency. The study of cross-administrative LUI in urban agglomerations is of great importance for the sustainable development of land, new urbanization, and territorial spatial planning. In this study, the urban agglomeration in the middle reaches of the Yangtze River in China was used as the case study area to explore the spatial spillover effect through the administrative division, underlying driving mechanism, and spatial interactions or constraints of LUI. First, LUI was measured using the index of the proportion of construction land to the total area of the administrative region. Second, the adjacency relationship of the county-level administrative units was identified on the basis of the queen-type adjacency criterion under the county-level administrative division system. Thereafter, spatial weight matrix for spatial modeling was constructed. Last, a spatial model using the “Spatial adjacency matrix” was devised to examine the influencing factors and the potential spatial interactions or constraints of administrative units. Results revealed that the level of LUI of different county-level administrative units were quite different, and the gap of LUI among county-level administrative units widened from 2010 to 2017. The fixed asset investment per land (FAIL), gross domestic product per capital (PGDP), and proportion of tertiary sector (PTS) are the driving factors of LUI. County-level administrative units not only had a significant and increasing spatial interaction effect based on the relationship of cooperation, but also had an influence of restraint mutually which was caused by the competition. The direct spatial spillover effect was remarkable. In the future, the effect of interaction among administrative units under the administrative division should be considered to promote the reasonable use and optimal layout of regional urban land to realize the optimal allocation of land resources.

Suggested Citation

  • Pengrui Wang & Chen Zeng & Yan Song & Long Guo & Wenping Liu & Wenting Zhang, 2021. "The Spatial Effect of Administrative Division on Land-Use Intensity," Land, MDPI, vol. 10(5), pages 1-18, May.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:5:p:543-:d:558136
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/10/5/543/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/10/5/543/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cegielska, Katarzyna & Noszczyk, Tomasz & Kukulska, Anita & Szylar, Marta & Hernik, Józef & Dixon-Gough, Robert & Jombach, Sándor & Valánszki, István & Filepné Kovács, Krisztina, 2018. "Land use and land cover changes in post-socialist countries: Some observations from Hungary and Poland," Land Use Policy, Elsevier, vol. 78(C), pages 1-18.
    2. Zhang, Pengyan & Yang, Dan & Qin, Mingzhou & Jing, Wenlong, 2020. "Spatial heterogeneity analysis and driving forces exploring of built-up land development intensity in Chinese prefecture-level cities and implications for future Urban Land intensive use," Land Use Policy, Elsevier, vol. 99(C).
    3. Liu, Yansui & Zhou, Yang, 2021. "Territory spatial planning and national governance system in China," Land Use Policy, Elsevier, vol. 102(C).
    4. Kairong Hong & Yucheng Zou & Mingyuan Zhu & Yanwei Zhang, 2021. "A Game Analysis of Farmland Expropriation Conflict in China under Multi-Dimensional Preference: Cooperation or Resistance?," Land, MDPI, vol. 10(2), pages 1-29, January.
    5. Colsaet, Alice & Laurans, Yann & Levrel, Harold, 2018. "What drives land take and urban land expansion? A systematic review," Land Use Policy, Elsevier, vol. 79(C), pages 339-349.
    6. Ma, Yiguan & Chiu, Rebecca L.H., 2018. "Governing rural redevelopment and re-distributing land rights: The case of Tianjin," Land Use Policy, Elsevier, vol. 72(C), pages 533-546.
    7. Luca Salvati & Margherita Carlucci, 2016. "Patterns of Sprawl: The Socioeconomic and Territorial Profile of Dispersed Urban Areas in Italy," Regional Studies, Taylor & Francis Journals, vol. 50(8), pages 1346-1359, August.
    8. Feng, Rundong & Wang, Kaiyong, 2021. "Spatiotemporal effects of administrative division adjustment on urban expansion in China," Land Use Policy, Elsevier, vol. 101(C).
    9. Zeng, Chen, 2019. "Spatial spillover effect on land conveyance fee—A multi-scheme investigation in Wuhan agglomeration," Land Use Policy, Elsevier, vol. 89(C).
    10. Christian Hilbe & Štěpán Šimsa & Krishnendu Chatterjee & Martin A. Nowak, 2018. "Evolution of cooperation in stochastic games," Nature, Nature, vol. 559(7713), pages 246-249, July.
    11. Yanting Zheng & Sai Zhao & Jinyuan Huang & Aifeng Lv, 2021. "Analysis of the Spatiotemporal Pattern and Mechanism of Land Use Mixture: Evidence from China’s County Data," Land, MDPI, vol. 10(4), pages 1-22, April.
    12. Tong, De & Yuan, Yuxi & Wang, Xiaoguang, 2021. "The coupled relationships between land development and land ownership at China’s urban fringe: A structural equation modeling approach," Land Use Policy, Elsevier, vol. 100(C).
    13. Jiejing Wang & Anthony GO Yeh, 2020. "Administrative restructuring and urban development in China: Effects of urban administrative level upgrading," Urban Studies, Urban Studies Journal Limited, vol. 57(6), pages 1201-1223, May.
    14. Mingyu Zhang & Qiuxiao Chen & Kewei Zhang & Dongye Yang, 2021. "Will Rural Collective-Owned Commercial Construction Land Marketization Impact Local Governments’ Interest Distribution? Evidence from Mainland China," Land, MDPI, vol. 10(2), pages 1-20, February.
    15. Fan, Xin & Qiu, Sainan & Sun, Yukun, 2020. "Land finance dependence and urban land marketization in China: The perspective of strategic choice of local governments on land transfer," Land Use Policy, Elsevier, vol. 99(C).
    16. Shu, Cheng & Xie, Hualin & Jiang, Jinfa & Chen, Qianru, 2018. "Is Urban Land Development Driven by Economic Development or Fiscal Revenue Stimuli in China?," Land Use Policy, Elsevier, vol. 77(C), pages 107-115.
    17. Chen Zeng & Zhe Zhao & Cheng Wen & Jing Yang & Tianyu Lv, 2020. "Effect of Complex Road Networks on Intensive Land Use in China’s Beijing-Tianjin-Hebei Urban Agglomeration," Land, MDPI, vol. 9(12), pages 1-19, December.
    18. Wang, Rong & Zameer, Hashim & Feng, Yue & Jiao, Zhilun & Xu, Li & Gedikli, Ayfer, 2019. "Revisiting Chinese resource curse hypothesis based on spatial spillover effect: A fresh evidence," Resources Policy, Elsevier, vol. 64(C).
    19. Tan, Rong & Wang, Rongyu & Heerink, Nico, 2020. "Liberalizing rural-to-urban construction land transfers in China: Distribution effects," China Economic Review, Elsevier, vol. 60(C).
    20. Li, Yurui & Li, Yi & Karácsonyi, Dávid & Liu, Zhengjia & Wang, Yongsheng & Wang, Jieyong, 2020. "Spatio-temporal pattern and driving forces of construction land change in a poverty-stricken county of China and implications for poverty-alleviation-oriented land use policies," Land Use Policy, Elsevier, vol. 91(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yu Liu & Zhuorui Yu & Daining Liu & Hao Zhang & Long Zhou & Guoqiang Shen & Chasong Zhu & Yiheng Sun & Yanran Wang, 2022. "Triple Spatial Effects of the Administrative Hierarchy on Urban Built-Up Areas in Fujian Province, China: Heterogeneity, Radiation, and Segmentation," Land, MDPI, vol. 11(12), pages 1-24, December.
    2. Mengxue Liu & Xiaobin Dong & Xuechao Wang & Bingyu Zhao & Hejie Wei & Weiguo Fan & Chenyang Zhang, 2022. "The Trade-Offs/Synergies and Their Spatial-Temporal Characteristics between Ecosystem Services and Human Well-Being Linked to Land-Use Change in the Capital Region of China," Land, MDPI, vol. 11(5), pages 1-22, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Andrew Allan & Ali Soltani & Mohammad Hamed Abdi & Melika Zarei, 2022. "Driving Forces behind Land Use and Land Cover Change: A Systematic and Bibliometric Review," Land, MDPI, vol. 11(8), pages 1-20, August.
    2. Jiao Hou & Xinhai Lu & Shiman Wu & Shangan Ke & Jia Li, 2022. "Analysis of the Dynamic Relationship between Green Economy Efficiency and Urban Land Development Intensity in China," IJERPH, MDPI, vol. 19(13), pages 1-17, June.
    3. Hui Li & Kunqiu Chen & Lei Yan & Yulin Zhu & Liuwen Liao & Yangle Chen, 2021. "Urban Land Use Transitions and the Economic Spatial Spillovers of Central Cities in China’s Urban Agglomerations," Land, MDPI, vol. 10(6), pages 1-27, June.
    4. Dong Ouyang & Xigang Zhu & Xingguang Liu & Renfei He & Qian Wan, 2021. "Spatial Differentiation and Driving Factor Analysis of Urban Construction Land Change in County-Level City of Guangxi, China," Land, MDPI, vol. 10(7), pages 1-21, June.
    5. Punzo, Gennaro & Castellano, Rosalia & Bruno, Emma, 2022. "Using geographically weighted regressions to explore spatial heterogeneity of land use influencing factors in Campania (Southern Italy)," Land Use Policy, Elsevier, vol. 112(C).
    6. Youlin Chen & Lei Wang & Peiheng Yu & Ning Nie & Xuan Yang & Yiyun Chen, 2023. "Spatiotemporal Linkages between Administrative Division Adjustment and Urban Form: Political Drivers of the Urban Polycentric Structure," Land, MDPI, vol. 12(9), pages 1-27, August.
    7. Qiuguang Hu & Weiteng Shen, 2021. "Effects of Industrial Land Conveyance on Coastal Marine Pollution: An Spatial Durbin Econometric Analysis," Sustainability, MDPI, vol. 13(13), pages 1-18, June.
    8. Yu Liu & Zhuorui Yu & Daining Liu & Hao Zhang & Long Zhou & Guoqiang Shen & Chasong Zhu & Yiheng Sun & Yanran Wang, 2022. "Triple Spatial Effects of the Administrative Hierarchy on Urban Built-Up Areas in Fujian Province, China: Heterogeneity, Radiation, and Segmentation," Land, MDPI, vol. 11(12), pages 1-24, December.
    9. Weiguo Fan & Wei Yao & Kehan Chen, 2023. "Integrating Energy Systems Language and Emergy Approach to Simulate and Analyze the Energy Flow Process of Land Transfer," Land, MDPI, vol. 12(5), pages 1-24, May.
    10. Zou, Yucheng & Yan, Lei & Zhang, Yanwei, 2023. "Game analysis of incremental income allocation in the marketization of rural collectively-owned commercial construction land under fairness preference," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 1-14.
    11. Edita, Abalikstiene & Dalia, Perkumiene, 2022. "Challenges and problems of agricultural land use changes in Lithuania according to territorial planning documents: Case of Vilnius district municipality," Land Use Policy, Elsevier, vol. 117(C).
    12. Shenjie Yang & Lanjiao Wen, 2023. "Regional Heterogeneity in China’s Rural Collectively Owned Commercialized Land Market: An Empirical Analysis from 2015–2020," Land, MDPI, vol. 12(2), pages 1-15, February.
    13. Yu Wang & Lin Zhang, 2023. "The Impact of Technology Innovation on Urban Land Intensive Use in China: Evidence from 284 Cities in China," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
    14. Feng Yuan & Weiye Xiao & Yehua Dennis Wei, 2023. "Heterogeneous mechanisms of urban land price in China: a perspective of natural restrictions and strategic supply," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    15. Ouyang, Xiao & Xu, Jun & Li, Jiayu & Wei, Xiao & Li, Yonghui, 2022. "Land space optimization of urban-agriculture-ecological functions in the Changsha-Zhuzhou-Xiangtan Urban Agglomeration, China," Land Use Policy, Elsevier, vol. 117(C).
    16. Wang, Di & Ren, Cairu & Zhou, Tao, 2021. "Understanding the impact of land finance on industrial structure change in China: Insights from a spatial econometric analysis," Land Use Policy, Elsevier, vol. 103(C).
    17. Yubo Wang & Yuyu Xue & Jianchao Xi, 2022. "Inter-Provincial Differences in Potential Obstacles to Land Transfer Income to Support Rural Revitalization in China," Land, MDPI, vol. 11(4), pages 1-18, March.
    18. Wei Pan & Jing Wang & Zhi Lu & Yurui Li, 2023. "Swelling Cities? Detecting China’s Urban Land Transition Based on Time Series Data," Land, MDPI, vol. 12(1), pages 1-12, January.
    19. Tan, Shukui & Hu, Bixia & Kuang, Bing & Zhou, Min, 2021. "Regional differences and dynamic evolution of urban land green use efficiency within the Yangtze River Delta, China," Land Use Policy, Elsevier, vol. 106(C).
    20. Kehao Zhou & Ronghui Tan, 2022. "More Than Thirty Years of Environmentally Sensitive Area Loss in Wuhan: What Lessons Have We Learned from Urban Containment Policy?," Land, MDPI, vol. 11(8), pages 1-20, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:10:y:2021:i:5:p:543-:d:558136. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.