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Evaluation of Scale Management Suitability Based on the Entropy-TOPSIS Method

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  • Xiaoteng Cao

    (College of Resources and Environment, Southwest University, Chongqing 400715, China
    Key Lab Arable Land Conservat Southwest China, Ministry of Agriculture, Chongqing 400715, China)

  • Chaofu Wei

    (College of Resources and Environment, Southwest University, Chongqing 400715, China
    Key Lab Arable Land Conservat Southwest China, Ministry of Agriculture, Chongqing 400715, China)

  • Deti Xie

    (College of Resources and Environment, Southwest University, Chongqing 400715, China
    Key Lab Arable Land Conservat Southwest China, Ministry of Agriculture, Chongqing 400715, China)

Abstract

The evaluation of scale management suitability provides a comprehensive assessment of the various factors driving farmland management conditions. This research objectively evaluated the conditions for scale management suitability by applying the entropy-TOPSIS method with the aim of effectively balancing the space for agricultural production, the development of towns, and ecological protection. First, to ensure a balance between agricultural production, urban development, and ecological protection, 13 indexes were selected to represent the following three areas: natural factors, socioeconomic factors, and characteristics of cultivated land factors. The original matrix was standardized to evaluate the suitability of natural resources, the social economy, and cultivated land conditions, and a comprehensive suitability evaluation of scale management in the Jiangjin District of Chongqing was conducted. The research results divide the study area into four regions based on the level of scale management suitability. Examining the spatial distribution, the level of scale management suitability decreased gradually from north to south, regions at the high and middle levels of scale management suitability were concentrated in the northern area beside the Yangtze river, and the regions at a low level were concentrated in the southern mountain area. This research can provide a reference for the rational utilization of land resources and land use policymaking.

Suggested Citation

  • Xiaoteng Cao & Chaofu Wei & Deti Xie, 2021. "Evaluation of Scale Management Suitability Based on the Entropy-TOPSIS Method," Land, MDPI, vol. 10(4), pages 1-17, April.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:4:p:416-:d:536594
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    References listed on IDEAS

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    4. Nisar Ahamed, T. R. & Gopal Rao, K. & Murthy, J. S. R., 2000. "GIS-based fuzzy membership model for crop-land suitability analysis," Agricultural Systems, Elsevier, vol. 63(2), pages 75-95, February.
    5. F Wang, 1994. "The Use of Artificial Neural Networks in a Geographical Information System for Agricultural Land-Suitability Assessment," Environment and Planning A, , vol. 26(2), pages 265-284, February.
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    1. Tian Bai & Junming Yang & Xinyu Wang & Rui Su & Samuel A. Cushman & Gillian Lawson & Manshu Liu & Guifang Wang & Donghui Li & Jiaxin Wang & Jingli Zhang & Yawen Wu, 2025. "Multi-Source Data-Driven Spatiotemporal Study on Integrated Ecosystem Service Value for Sustainable Ecosystem Management in Lake Dianchi Basin," Sustainability, MDPI, vol. 17(9), pages 1-22, April.
    2. Zhuoya Zhang & Zheneng Hu & Fanglei Zhong & Qingping Cheng & Mingzhu Wu, 2022. "Spatio-Temporal Evolution and Influencing Factors of High Quality Development in the Yunnan–Guizhou, Region Based on the Perspective of a Beautiful China and SDGs," Land, MDPI, vol. 11(6), pages 1-19, May.

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