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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
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    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    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. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. Bo Sun & Derek T. Robinson, 2018. "Comparison of Statistical Approaches for Modelling Land-Use Change," Land, MDPI, vol. 7(4), pages 1-33, November.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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).
    25. 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.
    26. 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.
    27. 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).
    28. 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.
    29. 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).
    30. 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.
    31. 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.
    32. 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.
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