IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i6p942-d842451.html
   My bibliography  Save this article

A Dynamic Performance and Differentiation Management Policy for Urban Construction Land Use Change in Gansu, China

Author

Listed:
  • Yajun Ma

    (New District Branch, Lanzhou Urban and Rural Planning and Design Institute, Lanzhou 730030, China)

  • Ping Zhang

    (College of Civil Engineering and Architecture, Jiaxing University, Jiaxing 314001, China
    College of Architecture and Urban Planning, Lanzhou Jiaotong University, Lanzhou 730070, China)

  • Kaixu Zhao

    (College of Urban and Environmental Science, Northwest University, Xi’an 710127, China)

  • Yong Zhou

    (Graduate Institute of National Development, National Taiwan University, Taipei 10617, Taiwan)

  • Sidong Zhao

    (School of Civil Engineering and Architecture, Guangxi University, Nanning 530004, China
    School of Architecture, Southeast University, Nanjing 210096, China)

Abstract

Making efforts to promote rationalized urban construction land change, distribution, allocation, and its performance is the core task of territory spatial planning and a complex issue that the government must face and solve. Based on the Boston Consulting Group matrix, a decoupling model, and a GIS tool, this paper constructs a new tool that integrates “dynamic analysis + performance evaluation + policy design” for urban construction land. We reached the following findings from an empirical study of Gansu, China: (1) Urban construction land shows diversified changes, where expansion is dominant and shrink cannot be ignored. (2) Most cities are in the non-ideal state of LH (Low-High) and LL (Low-Low), with a small number in the state of HH (High-High) and HL (High-Low). (3) Urban construction land change and population growth, economic development, and income increase are in a discordant relationship, mostly in strong negative decoupling and expansive negative decoupling. (4) The spatial heterogeneity of urban construction land change and its performance are at a high level, and they show a slow upward trend. Additionally, the cold and the hot spots show obvious spatial clustering characteristics, and the spatial pattern of different indexes is different to some extent. (5) It is suggested that in territory spatial planning Gansu should divide the space into four policy areas—incremental, inventory, a reduction development policy area, and a transformation leading policy area—to implement differentiated management policies and to form a new spatial governance system of “control by zoning and management by class”. The change of urban construction land, characterized by dynamics and complexity, is a direct mapping of the urban growth process. The new tools constructed in this paper will help to reveal the laws of urban development and to improve the accuracy of territory spatial planning in the new era. They are of great theoretical significance and practical value for promoting high-quality and sustainable urban development.

Suggested Citation

  • Yajun Ma & Ping Zhang & Kaixu Zhao & Yong Zhou & Sidong Zhao, 2022. "A Dynamic Performance and Differentiation Management Policy for Urban Construction Land Use Change in Gansu, China," Land, MDPI, vol. 11(6), pages 1-31, June.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:6:p:942-:d:842451
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/6/942/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/11/6/942/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Danning Du, 2017. "The causal relationship between land urbanization quality and economic growth: evidence from capital cities in China," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(6), pages 2707-2723, November.
    2. Stephan Schmidt, 2009. "Land Use Planning Tools and Institutional Change in Germany: Recent Developments in Local and Regional Planning," European Planning Studies, Taylor & Francis Journals, vol. 17(12), pages 1907-1921, December.
    3. Pavel Ciaian & d'Artis Kancs & Maria Espinosa, 2018. "The Impact of the 2013 CAP Reform on the Decoupled Payments’ Capitalisation into Land Values," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(2), pages 306-337, June.
    4. Mu Li & Yunyang Shi & Wenkai Duan & Aiqi Chen & Nan Wang & Jinmin Hao, 2019. "Spatiotemporal Decoupling of Population, Economy and Construction Land Changes in Hebei Province," Sustainability, MDPI, vol. 11(23), pages 1-20, November.
    5. Antonio Pesce, 2017. "The Decoupling Of Emerging Economies: Theoretical And Empirical Puzzle," Journal of Economic Surveys, Wiley Blackwell, vol. 31(2), pages 602-631, April.
    6. Ruben N. Lubowski & Andrew J. Plantinga & Robert N. Stavins, 2008. "What Drives Land-Use Change in the United States? A National Analysis of Landowner Decisions," Land Economics, University of Wisconsin Press, vol. 84(4), pages 529-550.
    7. Bo Sun & Derek T. Robinson, 2018. "Comparison of Statistical Approaches for Modelling Land-Use Change," Land, MDPI, vol. 7(4), pages 1-33, November.
    8. Myung-Jin Jun, 2005. "Forecasting Urban Land-Use Demand Using a Metropolitan Input-Output Model," Environment and Planning A, , vol. 37(7), pages 1311-1328, July.
    9. Lee, Jongpyo & Jung, Sanghoon, 2020. "Industrial land use planning and the growth of knowledge industry: Location pattern of knowledge-intensive services and their determinants in the Seoul metropolitan area," Land Use Policy, Elsevier, vol. 95(C).
    10. Verda Kocabas & Suzana Dragicevic, 2013. "Bayesian networks and agent-based modeling approach for urban land-use and population density change: a BNAS model," Journal of Geographical Systems, Springer, vol. 15(4), pages 403-426, October.
    11. Chen, Jiandong & Wang, Ping & Cui, Lianbiao & Huang, Shuo & Song, Malin, 2018. "Decomposition and decoupling analysis of CO2 emissions in OECD," Applied Energy, Elsevier, vol. 231(C), pages 937-950.
    12. Manuel González de Molina & David Soto Fernández & Juan Infante-Amate & Eduardo Aguilera & Jaime Vila Traver & Gloria I. Guzmán, 2017. "Decoupling Food from Land: The Evolution of Spanish Agriculture from 1960 to 2010," Sustainability, MDPI, vol. 9(12), pages 1-18, December.
    13. 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).
    14. 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.
    15. Lingyue Li & Zhixin Qi & Shi Xian & Dong Yao, 2021. "Agricultural Land Use Change in Chongqing and the Policy Rationale behind It: A Multiscale Perspective," Land, MDPI, vol. 10(3), pages 1-18, March.
    16. Chengcheng Wang & Yanfang Liu & Xuesong Kong & Jiwei Li, 2017. "Spatiotemporal Decoupling between Population and Construction Land in Urban and Rural Hubei Province," Sustainability, MDPI, vol. 9(7), pages 1-19, July.
    17. Megersa Kebede Leta & Tamene Adugna Demissie & Jens Tränckner, 2021. "Modeling and Prediction of Land Use Land Cover Change Dynamics Based on Land Change Modeler (LCM) in Nashe Watershed, Upper Blue Nile Basin, Ethiopia," Sustainability, MDPI, vol. 13(7), pages 1-24, March.
    18. Teresa Serra & David Zilberman & Jose Gil & Allen Featherstone, 2009. "The effects of decoupling on land allocation," Applied Economics, Taylor & Francis Journals, vol. 41(18), pages 2323-2333.
    19. Jinhua Zhang & Zhenhuai Shi & Xiaoping Chu & Yao Shen, 2021. "The effect of the spatial misallocation of land supply on entrepreneurial activity," Applied Economics Letters, Taylor & Francis Journals, vol. 28(11), pages 949-953, June.
    20. Shu, Hui & Xiong, Ping-ping, 2019. "Reallocation planning of urban industrial land for structure optimization and emission reduction: A practical analysis of urban agglomeration in China’s Yangtze River Delta," Land Use Policy, Elsevier, vol. 81(C), pages 604-623.
    21. Chester Arnold & Emily Wilson & James Hurd & Daniel Civco, 2020. "30 Years of Land Cover Change in Connecticut, USA: A Case Study of Long-Term Research, Dissemination of Results, and Their Use in Land Use Planning and Natural Resource Conservation," Land, MDPI, vol. 9(8), pages 1-26, July.
    22. Asabere, Stephen Boahen & Acheampong, Ransford A. & Ashiagbor, George & Beckers, Sandra Carola & Keck, Markus & Erasmi, Stefan & Schanze, Jochen & Sauer, Daniela, 2020. "Urbanization, land use transformation and spatio-environmental impacts: Analyses of trends and implications in major metropolitan regions of Ghana," Land Use Policy, Elsevier, vol. 96(C).
    23. Nina Schwarz & Daniel Kahlenberg & Dagmar Haase & Ralf Seppelt, 2012. "ABMland - a Tool for Agent-Based Model Development on Urban Land Use Change," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(2), pages 1-8.
    24. Evidence Chinedu Enoguanbhor & Florian Gollnow & Jonas Ostergaard Nielsen & Tobia Lakes & Blake Byron Walker, 2019. "Land Cover Change in the Abuja City-Region, Nigeria: Integrating GIS and Remotely Sensed Data to Support Land Use Planning," Sustainability, MDPI, vol. 11(5), pages 1-18, March.
    25. Huilian Han & Hui Li, 2020. "Coupling Coordination Evaluation between Population and Land Urbanization in Ha-Chang Urban Agglomeration," Sustainability, MDPI, vol. 12(1), pages 1-23, January.
    26. Yaolin Liu & Enxiang Cai & Ying Jing & Jie Gong & Zhengyu Wang, 2018. "Analyzing the Decoupling between Rural-to-Urban Migrants and Urban Land Expansion in Hubei Province, China," Sustainability, MDPI, vol. 10(2), pages 1-15, January.
    27. Antonio Tomao & Walter Mattioli & David Fanfani & Carlotta Ferrara & Giovanni Quaranta & Rosanna Salvia & Luca Salvati, 2021. "Economic Downturns and Land-Use Change: A Spatial Analysis of Urban Transformations in Rome (Italy) Using a Geographically Weighted Principal Component Analysis," Sustainability, MDPI, vol. 13(20), pages 1-14, October.
    28. Lin Li & Kaixu Zhao & Xinyu Wang & Sidong Zhao & Xingguang Liu & Weiwei Li, 2022. "Spatio-Temporal Evolution and Driving Mechanism of Urbanization in Small Cities: Case Study from Guangxi," Land, MDPI, vol. 11(3), pages 1-34, March.
    29. Sims, Katharine R.E. & Schuetz, Jenny, 2009. "Local regulation and land-use change: The effects of wetlands bylaws in Massachusetts," Regional Science and Urban Economics, Elsevier, vol. 39(4), pages 409-421, July.
    30. Sidong Zhao & Kaixu Zhao & Ping Zhang, 2021. "Spatial Inequality in China’s Housing Market and the Driving Mechanism," Land, MDPI, vol. 10(8), pages 1-33, August.
    31. Sen Li & Tao Wang & Changzhen Yan, 2017. "Assessing the Role of Policies on Land-Use/Cover Change from 1965 to 2015 in the Mu Us Sandy Land, Northern China," Sustainability, MDPI, vol. 9(7), pages 1-18, July.
    32. Qu, Shijin & Hu, Shougeng & Li, Weidong & Wang, Hui & Zhang, Chuanrong & Li, Quanfeng, 2020. "Interaction between urban land expansion and land use policy: An analysis using the DPSIR framework," Land Use Policy, Elsevier, vol. 99(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. Xiao Zhu & Di Yao & Hanyue Shi & Kaichen Qu & Yuxiao Tang & Kaixu Zhao, 2022. "The Evolution Mode and Driving Mechanisms of the Relationship between Construction Land Use and Permanent Population in Urban and Rural Contexts: Evidence from China’s Land Survey," Land, MDPI, vol. 11(10), pages 1-44, October.
    2. Weiwei Li & Ping Zhang & Kaixu Zhao & Hua Chen & Sidong Zhao, 2023. "The Evolution Model of and Factors Influencing Digital Villages: Evidence from Guangxi, China," Agriculture, MDPI, vol. 13(3), pages 1-26, March.
    3. Ping Zhang & Weiwei Li & Kaixu Zhao & Yi Zhao & Hua Chen & Sidong Zhao, 2023. "The Impact Factors and Management Policy of Digital Village Development: A Case Study of Gansu Province, China," Land, MDPI, vol. 12(3), pages 1-32, March.
    4. Congguo Zhang & Di Yao & Yanlin Zhen & Weiwei Li & Kerun Li, 2022. "Mismatched Relationship between Urban Industrial Land Consumption and Growth of Manufacturing: Evidence from the Yangtze River Delta," Land, MDPI, vol. 11(9), pages 1-35, August.
    5. Fei Xie & Shuaibing Zhang & Kaixu Zhao & Fengmei Quan, 2022. "Evolution Mode, Influencing Factors, and Socioeconomic Value of Urban Industrial Land Management in China," Land, MDPI, vol. 11(9), pages 1-33, September.
    6. Xiaojuan Yang & Weiwei Li & Ping Zhang & Hua Chen & Min Lai & Sidong Zhao, 2023. "The Dynamics and Driving Mechanisms of Rural Revitalization in Western China," Agriculture, MDPI, vol. 13(7), pages 1-26, July.

    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. Biao Zhang & Dian Shao & Zhonghu Zhang, 2022. "Spatio-Temporal Evolution Dynamic, Effect and Governance Policy of Construction Land Use in Urban Agglomeration: Case Study of Yangtze River Delta, China," Sustainability, MDPI, vol. 14(10), pages 1-36, May.
    2. Xiao Zhu & Di Yao & Hanyue Shi & Kaichen Qu & Yuxiao Tang & Kaixu Zhao, 2022. "The Evolution Mode and Driving Mechanisms of the Relationship between Construction Land Use and Permanent Population in Urban and Rural Contexts: Evidence from China’s Land Survey," Land, MDPI, vol. 11(10), pages 1-44, October.
    3. Congguo Zhang & Di Yao & Yanlin Zhen & Weiwei Li & Kerun Li, 2022. "Mismatched Relationship between Urban Industrial Land Consumption and Growth of Manufacturing: Evidence from the Yangtze River Delta," Land, MDPI, vol. 11(9), pages 1-35, August.
    4. Ping Zhang & Xiaojuan Yang & Hua Chen & Sidong Zhao, 2023. "Matching Relationship between Urban Service Industry Land Expansion and Economy Growth in China," Land, MDPI, vol. 12(6), pages 1-29, May.
    5. Weiwei Li & Ping Zhang & Kaixu Zhao & Hua Chen & Sidong Zhao, 2023. "The Evolution Model of and Factors Influencing Digital Villages: Evidence from Guangxi, China," Agriculture, MDPI, vol. 13(3), pages 1-26, March.
    6. Xiaojuan Yang & Weiwei Li & Ping Zhang & Hua Chen & Min Lai & Sidong Zhao, 2023. "The Dynamics and Driving Mechanisms of Rural Revitalization in Western China," Agriculture, MDPI, vol. 13(7), pages 1-26, July.
    7. Sidong Zhao & Weiwei Li & Kaixu Zhao & Ping Zhang, 2021. "Change Characteristics and Multilevel Influencing Factors of Real Estate Inventory—Case Studies from 35 Key Cities in China," Land, MDPI, vol. 10(9), pages 1-29, September.
    8. Lin Li & Kaixu Zhao & Xinyu Wang & Sidong Zhao & Xingguang Liu & Weiwei Li, 2022. "Spatio-Temporal Evolution and Driving Mechanism of Urbanization in Small Cities: Case Study from Guangxi," Land, MDPI, vol. 11(3), pages 1-34, March.
    9. Yunfei Peng & Fangling Yang & Lingwei Zhu & Ruru Li & Chao Wu & Deng Chen, 2021. "Comparative Analysis of the Factors Influencing Land Use Change for Emerging Industry and Traditional Industry: A Case Study of Shenzhen City, China," Land, MDPI, vol. 10(6), pages 1-17, May.
    10. Ping Zhang & Weiwei Li & Kaixu Zhao & Yi Zhao & Hua Chen & Sidong Zhao, 2023. "The Impact Factors and Management Policy of Digital Village Development: A Case Study of Gansu Province, China," Land, MDPI, vol. 12(3), pages 1-32, March.
    11. Fei Xie & Shuaibing Zhang & Kaixu Zhao & Fengmei Quan, 2022. "Evolution Mode, Influencing Factors, and Socioeconomic Value of Urban Industrial Land Management in China," Land, MDPI, vol. 11(9), pages 1-33, September.
    12. Junheng Qi & Mingxing Hu & Bing Han & Jiemin Zheng & Hui Wang, 2022. "Decoupling Relationship between Industrial Land Expansion and Economic Development in China," Land, MDPI, vol. 11(8), pages 1-21, July.
    13. Jiwei Li & Qingqing Ye & Weiqiang Chen & Xuesong Kong & Qingsheng Bi & Jie Lu & Enxiang Cai & Hejie Wei & Xinwei Feng & Yulong Guo, 2022. "An Analysis Method of Quantitative Coupling Rationality between Urban–Rural Construction Land and Population: A Case Study of Henan Province in China," Land, MDPI, vol. 11(5), pages 1-18, May.
    14. Shuangshuang Liu & Qipeng Liao & Yuan Liang & Zhifei Li & Chunbo Huang, 2021. "Spatio–Temporal Heterogeneity of Urban Expansion and Population Growth in China," IJERPH, MDPI, vol. 18(24), pages 1-26, December.
    15. Weisong Mi & Kaixu Zhao & Pei Zhang, 2022. "Spatio-Temporal Evolution and Driving Mechanism of Green Innovation in China," Sustainability, MDPI, vol. 14(9), pages 1-27, April.
    16. Raushan Bokusheva & Lukáš Čechura & Subal C. Kumbhakar, 2023. "Estimating persistent and transient technical efficiency and their determinants in the presence of heterogeneity and endogeneity," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(2), pages 450-472, June.
    17. Zilu Ma & Yaping Huang, 2024. "The Spatial Pattern and Influencing Factors of Urban Knowledge-Intensive Business Services: A Case Study of Wuhan Metropolitan Area, China," Sustainability, MDPI, vol. 16(3), pages 1-16, January.
    18. Fei Tao & Guoan Tang & Yihao Wu & Tong Zhou, 2022. "Spatiotemporal Heterogeneity and Driving Mechanism of Co-Ordinated Urban Development: A Case Study of the Central Area of the Yangtze River Delta, China," Sustainability, MDPI, vol. 14(9), pages 1-23, April.
    19. Shuaibing Zhang & Kaixu Zhao & Shuoyang Ji & Yafang Guo & Fengqi Wu & Jingxian Liu & Fei Xie, 2022. "Evolution Characteristics, Eco-Environmental Response and Influencing Factors of Production-Living-Ecological Space in the Qinghai–Tibet Plateau," Land, MDPI, vol. 11(7), pages 1-26, July.
    20. Shuangqing Sheng & Wei Song & Hua Lian & Lei Ning, 2022. "Review of Urban Land Management Based on Bibliometrics," Land, MDPI, vol. 11(11), pages 1-25, November.

    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:11:y:2022:i:6:p:942-:d:842451. 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.