IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v141y2019icp36-46.html
   My bibliography  Save this article

Trade-offs in land-use competition and sustainable land development in the North China Plain

Author

Listed:
  • Jin, Gui
  • Chen, Kun
  • Wang, Pei
  • Guo, Baishu
  • Dong, Yin
  • Yang, Jun

Abstract

Using the Computable General Equilibrium of Land Use Change (CGELUC) and Dynamics of Land System (DLS) models, we simulated land-use structures and patterns in Shandong Province in 2025 under three scenarios: baseline, resource consumption, and green development. Compared with the situation in 2015, a slight decrease in grassland, cultivated, and unused land was evident under the green development scenario. Forest land cover remained basically unchanged, whereas water bodies and construction land increased slightly. Under the baseline and resource consumption scenarios, all of the above land-use types showed a decreasing trend apart from construction land, which rapidly increased. Changes in the land-use allocation pattern demonstrated overall consistency and local differences under these scenarios. Among them, most changes in construction and cultivated land occurred around cities, with changes in forests and grassland mainly distributed in the central and northeastern regions. Changes in water bodies and unused land mainly occurred in the northern Yellow River basin and in northeastern coastal areas. Local differences were evident under the green development scenario, with conversion of a small amount of cultivated land in the central region into forests and grassland, and transformation of a small area of cultivated land in the northeastern coastal area into water bodies. The study's findings provide a scientific projection of competitive land-use relations in Shandong Province over the next decade under different land expropriation price and regulation scenarios, which can guide policy formulation and the selection of pathways for achieving sustainable regional development.

Suggested Citation

  • Jin, Gui & Chen, Kun & Wang, Pei & Guo, Baishu & Dong, Yin & Yang, Jun, 2019. "Trade-offs in land-use competition and sustainable land development in the North China Plain," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 36-46.
  • Handle: RePEc:eee:tefoso:v:141:y:2019:i:c:p:36-46
    DOI: 10.1016/j.techfore.2019.01.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162518312757
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2019.01.004?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Choi, Yongrok & Liu, Yu & Lee, Hyoungseok, 2017. "The economy impacts of Korean ETS with an emphasis on sectoral coverage based on a CGE approach," Energy Policy, Elsevier, vol. 109(C), pages 835-844.
    2. R White & G Engelen, 1993. "Cellular Automata and Fractal Urban Form: A Cellular Modelling Approach to the Evolution of Urban Land-Use Patterns," Environment and Planning A, , vol. 25(8), pages 1175-1199, August.
    3. Liu, Zheng & Miao, Jianjun & Zha, Tao, 2016. "Land prices and unemployment," Journal of Monetary Economics, Elsevier, vol. 80(C), pages 86-105.
    4. Kauffman, Nathan S. & Hayes, Dermot J., 2013. "The trade-off between bioenergy and emissions with land constraints," Energy Policy, Elsevier, vol. 54(C), pages 300-310.
    5. Xie, Hualin & Chen, Qianru & Wang, Wei & He, Yafen, 2018. "Analyzing the green efficiency of arable land use in China," Technological Forecasting and Social Change, Elsevier, vol. 133(C), pages 15-28.
    6. White, David J. & Hubacek, Klaus & Feng, Kuishuang & Sun, Laixiang & Meng, Bo, 2018. "The Water-Energy-Food Nexus in East Asia: A tele-connected value chain analysis using inter-regional input-output analysis," Applied Energy, Elsevier, vol. 210(C), pages 550-567.
    7. Mustafa, Ahmed & Cools, Mario & Saadi, Ismaïl & Teller, Jacques, 2017. "Coupling agent-based, cellular automata and logistic regression into a hybrid urban expansion model (HUEM)," Land Use Policy, Elsevier, vol. 69(C), pages 529-540.
    8. Guardado, Jenny, 2018. "Land tenure, price shocks, and insurgency: Evidence from Peru and Colombia," World Development, Elsevier, vol. 111(C), pages 256-269.
    9. Zheng Liu & Pengfei Wang & Tao Zha, 2013. "Land‐Price Dynamics and Macroeconomic Fluctuations," Econometrica, Econometric Society, vol. 81(3), pages 1147-1184, May.
    10. Hayden, Carol & Round, Jefferey I., 1982. "Developments in social accounting methods as applied to the analysis of income distribution and employment issues," World Development, Elsevier, vol. 10(6), pages 451-465, June.
    11. Song, Wei & Deng, Xiangzheng & Yuan, Yongwei & Wang, Zhan & Li, Zhaohua, 2015. "Impacts of land-use change on valued ecosystem service in rapidly urbanized North China Plain," Ecological Modelling, Elsevier, vol. 318(C), pages 245-253.
    12. Marr, Eric Joseph & Howley, Peter, 2018. "Woodlots, wetlands or wheat fields? Agri-environmental land allocation preferences of stakeholder organisations in England and Ontario," Land Use Policy, Elsevier, vol. 75(C), pages 673-681.
    Full references (including those not matched with items on IDEAS)

    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. Eleni Iliopulos & François Langot & Thepthida Sopraseuth, 2019. "Welfare Cost of Fluctuations When Labor Market Search Interacts with Financial Frictions," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(8), pages 2207-2237, December.
    2. Marcus Moelbak Ingholt, 2017. "House Prices, Geographical Mobility, and Unemployment," Discussion Papers 17-06, University of Copenhagen. Department of Economics.
    3. J. Scott Davis & Kevin X. D. Huang & Ayse Sapci, 2020. "Imperfect substitution in real estate markets and the effect of housing demand on corporate investment," Vanderbilt University Department of Economics Working Papers 20-00002, Vanderbilt University Department of Economics.
    4. Devereux, Michael B. & Young, Eric R. & Yu, Changhua, 2019. "Capital controls and monetary policy in sudden-stop economies," Journal of Monetary Economics, Elsevier, vol. 103(C), pages 52-74.
    5. Davis, J. Scott & Huang, Kevin X.D. & Sapci, Ayse, 2022. "Land price dynamics and macroeconomic fluctuations with imperfect substitution in real estate markets," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
    6. Gan, Li & Wang, Pengfei & Zhang, Qinghua, 2018. "Market thickness and the impact of unemployment on housing market outcomes," Journal of Monetary Economics, Elsevier, vol. 98(C), pages 27-49.
    7. Liu, Zheng & Miao, Jianjun & Zha, Tao, 2016. "Land prices and unemployment," Journal of Monetary Economics, Elsevier, vol. 80(C), pages 86-105.
    8. Gong, Liutang & Wang, Chan & Zhao, Fuyang & Zou, Heng-fu, 2017. "Land-price dynamics and macroeconomic fluctuations with nonseparable preferences," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 149-161.
    9. Jianjun Miao & Pengfei Wang & Tao Zha, 2020. "Discount Shock, Price–Rent Dynamics, And The Business Cycle," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(3), pages 1229-1252, August.
    10. Jensen, Henrik & Ravn, Søren Hove & Santoro, Emiliano, 2018. "Changing credit limits, changing business cycles," European Economic Review, Elsevier, vol. 102(C), pages 211-239.
    11. Anasua Chakraborty & Sujit Sikder & Hichem Omrani & Jacques Teller, 2022. "Cellular Automata in Modeling and Predicting Urban Densification: Revisiting the Literature since 1971," Land, MDPI, vol. 11(7), pages 1-19, July.
    12. Cai, Zhifeng, 2021. "Secular stagnation, financial frictions, and land prices," Journal of Monetary Economics, Elsevier, vol. 124(C), pages 66-90.
    13. Marcus Ingholt, 2018. "LTV vs. DTI Constraints: When Did They Bind, and How Do They Interact?," 2018 Meeting Papers 866, Society for Economic Dynamics.
    14. Sadooghi, Seyed Ehsan & Taleai, Mohammad & Abolhasani, Somaie, 2022. "Simulation of urban growth scenarios using integration of multi-criteria analysis and game theory," Land Use Policy, Elsevier, vol. 120(C).
    15. Xiaoqing Lin & Chunyan Lu & Kaishan Song & Ying Su & Yifan Lei & Lianxiu Zhong & Yibin Gao, 2020. "Analysis of Coupling Coordination Variance between Urbanization Quality and Eco-Environment Pressure: A Case Study of the West Taiwan Strait Urban Agglomeration, China," Sustainability, MDPI, vol. 12(7), pages 1-19, March.
    16. Sylvain Catherine & Thomas Chaney & Zongbo Huang & David Sraer & David Thesmar, 2022. "Quantifying Reduced‐Form Evidence on Collateral Constraints," Journal of Finance, American Finance Association, vol. 77(4), pages 2143-2181, August.
    17. Kuang, Pei, 2014. "A model of housing and credit cycles with imperfect market knowledge," European Economic Review, Elsevier, vol. 70(C), pages 419-437.
    18. Yuejuan Yang & Kun Wang & Di Liu & Xinquan Zhao & Jiangwen Fan & Jinsheng Li & Xiajie Zhai & Cong Zhang & Ruyi Zhan, 2019. "Spatiotemporal Variation Characteristics of Ecosystem Service Losses in the Agro-Pastoral Ecotone of Northern China," IJERPH, MDPI, vol. 16(7), pages 1-23, April.
    19. Pei Kuang, 2013. "Imperfect Knowledge About Asset Prices and Credit Cycles," Discussion Papers 13-02, Department of Economics, University of Birmingham.
    20. Nyakabawo, Wendy & Miller, Stephen M. & Balcilar, Mehmet & Das, Sonali & Gupta, Rangan, 2015. "Temporal causality between house prices and output in the US: A bootstrap rolling-window approach," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 55-73.

    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:eee:tefoso:v:141:y:2019:i:c:p:36-46. 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: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    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.