PROPOSING SOLUTIONS TO DEVELOP SUSTAINABLE AGRICULTURE TO ADAPT TO CLIMATE CHANGE USING THE T-FANP MODEL

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Published Mar 16, 2024
Nguyen Hoang Tuan Truong Thanh Canh

Abstract

The aim of this study is to propose priority strategies for agricultural development amidst drought in Ninh Thuan province, Vietnam. In the context of drought, the agricultural sector faces significant challenges due to the impact of both natural and socio-economic factors. In order to conduct this research and propose effective strategies, the study utilized the SWOT analysis model via the TOWS matrix, delineating 15 strategies to pinpoint the most fitting approach for the agricultural sector. The study quantified and ranked factors within the SWOT analysis and prioritized strategies using the Fuzzy Analytic Network Process (FANP). The outcomes identified advantageous strategies for agricultural production, emphasizing the evaluation and identification of drought while focusing on market development for economically valuable agricultural products based on primary crops. The step-by-step application of these prioritized strategies aims to contribute to the sustainable development of agricultural production in Ninh Thuan province and facilitate the utilization of a multi-criteria decision-making model in resource and environmental management.

How to Cite

Nguyen Hoang Tuan, & Truong Thanh Canh. (2024). PROPOSING SOLUTIONS TO DEVELOP SUSTAINABLE AGRICULTURE TO ADAPT TO CLIMATE CHANGE USING THE T-FANP MODEL. International Journal of the Analytic Hierarchy Process, 15(3). https://doi.org/10.13033/ijahp.v15i3.1028

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Keywords

MCDM, SWOT, ANP, FANP, Climate Change, Fuzzy logic

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