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Evaluation of Agricultural Extension Service for Sustainable Agricultural Development Using a Hybrid Entropy and TOPSIS Method

Author

Listed:
  • Zhiguo Wang

    (Economics and Management School, Nantong University, Nantong 226019, China)

  • Junbin Wang

    (School of Business, Changshu Institute of Technology, Suzhou 215500, China)

  • Guoping Zhang

    (School of Business, Changshu Institute of Technology, Suzhou 215500, China
    Suzhou Agricultural Modernization Research Center, Suzhou 215500, China)

  • Zhixiong Wang

    (Pudong Agricultural Extension Service Center, Shanghai 201201, China)

Abstract

Agricultural extension service is the foundation of sustainable agricultural development. The evaluation and analysis of the agricultural extension service for sustainable agricultural development can provide an effective analytical tool for sustainable agriculture. This paper analyzes the influence of agricultural extension service on sustainable agricultural development, and constructs an evaluation system for sustainable agricultural development from the four dimensions of agricultural environment, society, economy, and agricultural extension service. This work proposes a framework based on the combination of technique for order performance by similarity to ideal solution (TOPSIS) and entropy method to evaluate the performance of the evaluation system. Taking three national modern agriculture demonstration zones in Suzhou in Jiangsu Province as a case study, the method was verified. Moreover, the main factors affecting sustainable agricultural development are discussed, and the improvement measures and management suggestions are also put forward to reduce the obstacles to sustainable agricultural development and improve sustainable agriculture practice.

Suggested Citation

  • Zhiguo Wang & Junbin Wang & Guoping Zhang & Zhixiong Wang, 2021. "Evaluation of Agricultural Extension Service for Sustainable Agricultural Development Using a Hybrid Entropy and TOPSIS Method," Sustainability, MDPI, vol. 13(1), pages 1-17, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:1:p:347-:d:473803
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    5. Ustaoglu, E. & Sisman, S. & Aydınoglu, A.C., 2021. "Determining agricultural suitable land in peri-urban geography using GIS and Multi Criteria Decision Analysis (MCDA) techniques," Ecological Modelling, Elsevier, vol. 455(C).
    6. Chen, Ning & Li, Xianyue & Shi, Haibin & Yan, Jianwen & Zhang, Yuehong & Hu, Qi, 2023. "Evaluating the effects of plastic film mulching duration on soil nitrogen dynamic and comprehensive benefit for corn (Zea mays L.) field," Agricultural Water Management, Elsevier, vol. 286(C).
    7. Ai Rui & Xiao Shishun & Martinson Ankrah Twumasi, 2022. "Does Rural Operation System Reform Enhance Agricultural Output? Evidence from Sichuan Province," Land, MDPI, vol. 11(12), pages 1-18, December.
    8. Lianghu Wang & Jun Shao, 2024. "Can Digitalization Improve the High-quality Development of Manufacturing? An Analysis Based on Chinese Provincial Panel Data," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 2010-2036, March.
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    10. Hongpeng Guo & Xin Yi & Chulin Pan & Baiming Yang & Yin Li, 2021. "Analysis on the Temporal and Spatial Features of the Coupling and Coordination of Industrialization and Agricultural Green Development in China during 1990–2019," IJERPH, MDPI, vol. 18(16), pages 1-27, August.

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