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Optimization Model of Permanent Basic Farmland Indicators Distribution from the Perspective of Equity: A Case from W County, China

Author

Listed:
  • Qun Zhang

    (Department of Land Management, Zhejiang University, Hangzhou 310058, China)

  • Cifang Wu

    (Department of Land Management, Zhejiang University, Hangzhou 310058, China)

Abstract

Based on its national conditions and food availability, China has embarked on the road to establishing food security in a way by implementing the concepts of innovative, coordinated, green, open and inclusive development, and the requirements of high-quality development and a national food security strategy for a new era. As a result, the permanent basic farmland protection zone designated for high-quality arable land reserves had become a fundamental national policy. However, the allocation of permanent basic farmland protection quantity indicator is always a challenge due to the conflicts between the development and protection process. The unequal protection indicator allocation is often cited as an inefficient source of permanent basic farmland production and protection. In this article, an optimization model is introduced to allocate preservation indicators by using the Gini coefficient, a widely used index of income inequality in economics. The optimization model is based on a hierarchical structure of the multi-criteria factors and the objective weighting method. The allocation of a permanent basic farmland protection indicator in W county, China, is chosen as a case study to illustrate the application of this model with a focus on a balance between equality and efficiency. The result shows that the method can provide profound insight for land management policymakers.

Suggested Citation

  • Qun Zhang & Cifang Wu, 2022. "Optimization Model of Permanent Basic Farmland Indicators Distribution from the Perspective of Equity: A Case from W County, China," Land, MDPI, vol. 11(8), pages 1-13, August.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:8:p:1290-:d:885603
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    Cited by:

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    3. Tolkyn Kakizhanova & Asel Sagynbay & Shynggys Nurgazy & Gulmira Andabayeva & Galiya Dauliyeva, 2024. "Impact of Energy Consumption and Food Security on Income Inequality: NARDL Approach from Kazakhstan," International Journal of Energy Economics and Policy, Econjournals, vol. 14(6), pages 184-194, November.
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    5. Jiancheng Yu & Shuting Guo & Shiyuan Wang & Yanyun Luo, 2025. "Multi-Scenario Simulation of Land Use Change and Ecosystem Health Assessment in Chengdu Metropolitan Area Based on SD-PLUS-VORS Coupled Modeling," Sustainability, MDPI, vol. 17(7), pages 1-23, April.

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