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A Fuzzy Analytic Hierarchy Process-Based Analysis of the Dynamic Sustainable Management Index in Leisure Agriculture

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  • Chun-Nan Lin

    (Department of Agribusiness Management, National Ping-Tung University of Science and Technology, Pingtung 90041, Taiwan)

Abstract

Agricultural leisure is one of the development trends in modern society. However, in leisure agriculture management, managers must consider the dual characteristics of agricultural production technology and the leisure service industry. Therefore, managers often face various selection pressures during management decision-making. This study examined the following five evaluation aspects: organization and operation, leisure agricultural resources, environmental maintenance management, public facility maintenance management, and operational performance. Thereafter, according to the five evaluation aspects, 21 subprojects were further divided at the second level on the basis of different attributes. Fuzzy analytic hierarchy process (FAHP) was adopted to calculate the relative weights of various indicators, and the indicators were dynamically sorted according to their importance. Moreover, the study summarized the dynamic management indicators of leisure agriculture and contributed to research on leisure farming. The results show that managers’ approach toward leisure agriculture management can be divided into three types: active, moderate, and conservative. The indicators in which the active managers attach importance when managing leisure agricultural enterprises are clearly different from those valued by moderate and conservative managers. Finding managers who are suitable for leisure agriculture management is of great significance to leisure agriculture enterprises. Appointing managers with appropriate attitudes who can continuously improve the efficiency of enterprises and create a competitive advantage can bring sustainable business value to these enterprises.

Suggested Citation

  • Chun-Nan Lin, 2020. "A Fuzzy Analytic Hierarchy Process-Based Analysis of the Dynamic Sustainable Management Index in Leisure Agriculture," Sustainability, MDPI, vol. 12(13), pages 1-18, July.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:13:p:5395-:d:380072
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    References listed on IDEAS

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    6. HUA Jinzhu & CHEN Zebin & SHI Yajun & LIU Jia'ni & YAO Liyuan & ZHANG Yuyu & HU Jingxiang & WANG Haotian & ZHENG Zhiwei, 2017. "Leisure Agriculture Based on Cultural Resources of Sani People in Yunnan," Asian Agricultural Research, USA-China Science and Culture Media Corporation, vol. 9(04), April.
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    1. Ignacio J. Navarro & José V. Martí & Víctor Yepes, 2021. "Neutrosophic Completion Technique for Incomplete Higher-Order AHP Comparison Matrices," Mathematics, MDPI, vol. 9(5), pages 1-19, February.
    2. Reshma T. Vilasan & Vijay S. Kapse, 2022. "Evaluation of the prediction capability of AHP and F-AHP methods in flood susceptibility mapping of Ernakulam district (India)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(2), pages 1767-1793, June.
    3. Jiaxing Cui & Ruihao Li & Lingyu Zhang & Ying Jing, 2021. "Spatially Illustrating Leisure Agriculture: Empirical Evidence from Picking Orchards in China," Land, MDPI, vol. 10(6), pages 1-20, June.
    4. Xiyuan Yu & Wenli Liu & Lingli Qing & Di Zhang, 2023. "Improving Farm Cooperatives’ Performance and Sustainability: A Study of Agricultural Managers’ Competencies Based on the Grounded Theory and the fsQCA Methods," Sustainability, MDPI, vol. 15(2), pages 1-16, January.
    5. Shu Yu & Yongtong Mu, 2022. "Sustainable Agricultural Development Assessment: A Comprehensive Review and Bibliometric Analysis," Sustainability, MDPI, vol. 14(19), pages 1-18, September.
    6. Mohsen Mostafa & Nishtman Hatami & Kambiz Espahbodi & Farhad Asadi, 2022. "Fuzzy Analytic Hierarchy Process (FAHP) applied to evaluating the forest management approaches," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 68(7), pages 263-276.

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