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Assessing Grain Productivity Coupled with Farmers’ Behaviors Based on the Agro-Ecological Zones (AEZ) Model

Author

Listed:
  • Tao Sun

    (College of Public Administration, Nanjing Agricultural University, Nanjing 210095, China)

  • Jie Guo

    (College of Public Administration, Nanjing Agricultural University, Nanjing 210095, China
    State and Local Joint Engineering Research Center of Rural Land Resources Utilization and Consolidation, Nanjing 210095, China
    China Resources & Environment and Development Academy, Nanjing 210095, China)

  • Minghao Ou

    (College of Public Administration, Nanjing Agricultural University, Nanjing 210095, China
    State and Local Joint Engineering Research Center of Rural Land Resources Utilization and Consolidation, Nanjing 210095, China
    China Resources & Environment and Development Academy, Nanjing 210095, China)

Abstract

This study presents a method that dynamically embeds constraints of farmers’ management and input levels to improve a traditional agro-ecological zones (AEZ) model to solve the problem of overestimation of grain production capacity. The proposed method is applied to Yuanjiang county in central China to evaluate the grain productivity of farmland and analyze its spatial distribution characteristics. Our results indicated that (1) The feasibility of the AEZ method coupled with farmers’ behavior had been verified, and the revised model can better improve the accuracy of the evaluation results. (2) Low-value areas of grain production potential are mainly distributed in the central region, high-value areas are mainly distributed in the southwest and northeast regions, and the spatial differentiation characteristics of production potential and total production capacity are the same. (3) The total grain productivity is 935,800 tons, and the total yield gap is 470,100 tons, which is 1.01 times the actual yield, indicating a large potential to increase grain production under the current technicality. The main contribution of this study is to propose a method to dynamically embed farmers’ behavioral factors into the traditional AEZ model, and apply this method to the actual farmland productivity evaluation in small-scale areas, which improves the reliability of the actual regional productivity evaluation results.

Suggested Citation

  • Tao Sun & Jie Guo & Minghao Ou, 2022. "Assessing Grain Productivity Coupled with Farmers’ Behaviors Based on the Agro-Ecological Zones (AEZ) Model," Land, MDPI, vol. 11(8), pages 1-19, July.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:8:p:1149-:d:871705
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    References listed on IDEAS

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    1. Renyi Yang & Wanying Du & Zisheng Yang, 2021. "Spatiotemporal Evolution and Influencing Factors of Urban Land Ecological Security in Yunnan Province," Sustainability, MDPI, vol. 13(5), pages 1-17, March.
    2. Xiang Li & Huifeng Guo & Guowei Feng & Bangbang Zhang, 2022. "Farmers’ Attitudes and Perceptions and the Effects of the Grain for Green Project in China: A Case Study in the Loess Plateau," Land, MDPI, vol. 11(3), pages 1-11, March.
    3. Li Ma & Shijun Wang & Anders Wästfelt, 2022. "The Poverty of Farmers in a Main Grain-Producing Area in Northeast China," Land, MDPI, vol. 11(5), pages 1-16, April.
    4. Liao, Liuwen & Long, Hualou & Gao, Xiaolu & Ma, Enpu, 2019. "Effects of land use transitions and rural aging on agricultural production in China’s farming area: A perspective from changing labor employing quantity in the planting industry," Land Use Policy, Elsevier, vol. 88(C).
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    1. Edgar Vladimir Gutiérrez Castorena & Gustavo Andrés Ramírez Gómez & Carlos Alberto Ortíz Solorio, 2023. "The Agricultural Potential of a Region with Semi-Dry, Warm and Temperate Subhumid Climate Diversity through Agroecological Zoning," Sustainability, MDPI, vol. 15(12), pages 1-18, June.

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