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A Multi-Regional CGE Model for the Optimization of Land Resource Allocation: A Simulation of the Impact of High-Quality Development Policies in China

Author

Listed:
  • Luge Wen

    (School of Government, Peking University, Beijing 100871, China)

  • Tiyan Shen

    (School of Government, Peking University, Beijing 100871, China)

  • Yuran Huang

    (Beijing Municipal Finance Bureau, Beijing 101160, China)

Abstract

Land, as the foundation of all productive activities, plays a crucial role in achieving high-quality development across regions. China’s current land allocation model, which focuses on land quota distribution, has several drawbacks and does not address the conflict between limited land availability and increasing demand. To maximize land use benefits, it is essential to develop scientifically sound allocation plans that effectively adjust land structure and layout. However, existing research often relies on single-attribute geographic or linear programming models which do not meet the multidimensional needs of modern territorial planning. Additionally, commonly used CGE models often overlook the critical role of construction land. To address these gaps, this study introduces a multi-scale, multi-type China Territorial Spatial Planning Simulation Model (CTSPM). This model integrates cultivated, forest, grassland, and construction land, simulating the land use changes driven by socioeconomic impacts through price mechanisms. By employing a land use transition matrix, the CTSPM enhances practical applicability and improves predictions for residential and non-agricultural construction land. It provides a scientific tool for evaluating land policies, supporting interdepartmental negotiations on land quotas, and contributing to natural resource governance and territorial spatial planning. Using the CTSPM, we simulated various high-quality development scenarios and derived the following conclusions: (1) An increase in Total Factor Productivity (TFP) significantly boosts regional economic development and the demand for non-agricultural land; a 1% increase in TFP leads to a 1.48% rise in actual GDP and a 0.19% increase in total non-agricultural land demand. (2) At the regional level, eastern regions experience a greater impact on total land demand compared to central and western regions. (3) In terms of land use types, cultivated and grassland areas show a decreasing trend, while forest and construction land areas are increasing.

Suggested Citation

  • Luge Wen & Tiyan Shen & Yuran Huang, 2025. "A Multi-Regional CGE Model for the Optimization of Land Resource Allocation: A Simulation of the Impact of High-Quality Development Policies in China," Land, MDPI, vol. 14(3), pages 1-26, February.
    • Handle: RePEc:gam:jlands:v:14:y:2025:i:3:p:450-:d:1596415
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    References listed on IDEAS

    as
    1. Robert C. Feenstra & Robert Inklaar & Marcel P. Timmer, 2015. "The Next Generation of the Penn World Table," American Economic Review, American Economic Association, vol. 105(10), pages 3150-3182, October.
    2. Lemelin, André & Savard, Luc, 2022. "What do CGE models have to say about fiscal reform?," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 758-774.
    3. Yvan Decreux & Hugo Valin, 2007. "MIRAGE, Updated Version of the Model for Trade Policy Analysis: Focus on Agriculture and Dynamics," Working Papers 2007-15, CEPII research center.
    4. Shenghua Lu & Hui Wang, 2022. "Limited Decentralization: Understand China’s Land System from the Perspective of Central-Local Relation," Land, MDPI, vol. 11(4), pages 1-15, April.
    5. Zhou, Yan & Huang, Xianjin & Zhong, Taiyang & Chen, Yi & Yang, Hong & Chen, Zhigang & Xu, Guoliang & Niu, Lede & Li, Hehui, 2020. "Can annual land use plan control and regulate construction land growth in China?," Land Use Policy, Elsevier, vol. 99(C).
    6. Wu, Shuping & Yang, Zan, 2020. "Informal government preferences and asymmetric land allocation in China," Land Use Policy, Elsevier, vol. 99(C).
    7. Yu, Ziyue & Deng, Xiangzheng & Cheshmehzangi, Ali & Mangi, Eugenio, 2023. "Structural succession of land resources under the influence of different policies: A case study for Shanxi Province, China," Land Use Policy, Elsevier, vol. 132(C).
    8. Parrado, Ramiro & De Cian, Enrica, 2014. "Technology spillovers embodied in international trade: Intertemporal, regional and sectoral effects in a global CGE framework," Energy Economics, Elsevier, vol. 41(C), pages 76-89.
    9. Wanping Yang & Ruoying Huang & Dong Li, 2024. "China’s high-quality economic development: a study of regional variations and spatial evolution," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-30, April.
    10. Qi Zhang & Xinxin Zhang & Qi Cui & Weining Cao & Ling He & Yexin Zhou & Xiaofan Li & Yunpeng Fan, 2022. "The Unequal Effect of the COVID-19 Pandemic on the Labour Market and Income Inequality in China: A Multisectoral CGE Model Analysis Coupled with a Micro-Simulation Approach," IJERPH, MDPI, vol. 19(3), pages 1-21, January.
    11. Liu, Yansui & Zhou, Yang, 2021. "Territory spatial planning and national governance system in China," Land Use Policy, Elsevier, vol. 102(C).
    12. 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.
    13. Alam, M. S. & Elias, S. M. & Rahman, M. M., 1995. "Optimum Land Use Pattern And Resource Allocation In A Growing Economy: A Closed Model Approach," Bangladesh Journal of Agricultural Economics, Bangladesh Agricultural University, vol. 18(2), pages 1-23, December.
    14. Joaquim Bento de Souza Ferreira Filho & Luis Ribera & Mark Horridge, 2015. "Deforestation Control and Agricultural Supply in Brazil," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(2), pages 589-601.
    15. Li, Bingqing & Wang, Zhanqi & Chai, Ji & Zhang, Di, 2019. "Index system to assess implementation of strategic land use plans in China," Land Use Policy, Elsevier, vol. 88(C).
    16. Yu, Junqing & Zhou, Kaile & Yang, Shanlin, 2019. "Land use efficiency and influencing factors of urban agglomerations in China," Land Use Policy, Elsevier, vol. 88(C).
    17. Peng, Qiuping & Zhou, Huaikang, 2024. "Chinese land complex: Hometown ties and corporate land acquisition," Land Use Policy, Elsevier, vol. 138(C).
    18. Keola, Souknilanh & Andersson, Magnus & Hall, Ola, 2015. "Monitoring Economic Development from Space: Using Nighttime Light and Land Cover Data to Measure Economic Growth," World Development, Elsevier, vol. 66(C), pages 322-334.
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