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
References
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Correia, F. N. (2007). Water scarcity and drought a priority of the Portuguese presidency. Portugal: Ministério do Ambiente, do Ordenamento do Território e do Desenvolvimento Regional.
Dağdeviren, M., & Yüksel, İ. (2010). A fuzzy analytic network process (ANP) model for measurement of the sectoral competititon level (S.C.L.). Expert Systems with Applications, 37(2), 1005–1014. Doi: https://doi.org/10.1016/j.eswa.2009.05.074
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DARD (Department of Agriculture and Rural Development of Ninh Thuan). (2017). Comprehensive planning for the development of the Agriculture-Forestry-Fisheries sector in Ninh Thuan province until 2020
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Domeisen, N. (1995). Disasters: Threat to social development. STOP Disasters. The IDNDR Magazine 23(Winter). Geneva, Switzerland: IDNDR Secretariat.
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Esfahanian, E., Nejadhashemi, A. P., Abouali, M., Adhikari, U., Zhang, Z., Daneshvar, F., & Herman, M. R. (2017). Development and evaluation of a comprehensive drought index. Journal of Environmental Management, 185, 31–43. Doi: https://doi.org/10.1016/j.jenvman.2016.10.050
FAO. (2011). The state of the world’s land and water resources for food and agriculture: Managing systems at risk (1st ed). Earthscan.
FAO. (2013). Climate-Smart agriculture: Managing ecosystems for sustainable livelihoods. Food and Agriculture Organization of the United Nations.
https://www.fao.org/climatechange/29790-0178d452d0ca9af024aad1092d4b78b1d.pdf
FAO. (2021). World Food and Agriculture – Statistical Yearbook 2021. Rome: FAO Doi: https://doi.org/10.4060/cb4477en
Gil, M., Garrido, A., & Hernandez-Mora, N. (2013). Direct and indirect economic impacts of drought in the agri-food sector in the Ebro River basin (Spain). Natural Hazards and Earth System Science, 13(10), 2679–2694. Doi: https://doi.org/10.5194/nhess-13-2679-2013
Gillette, H. P. (1950). A creeping drought under way. Water and Sewage Works, 10(1), 104–105.
GSA (Geological Society of America). (2006). Managing drought: A roadmap for change in the United States. Presented at Managing Drought and Water Scarcity in Vulnerable Environments, 18–20 September, Longmont, CO.
Haque, H. M. E., Dhakal, S., & Mostafa, S. M. G. (2020). An assessment of opportunities and challenges for cross-border electricity trade for Bangladesh using SWOT-AHP approach. Energy Policy, 137, 111118. Doi: https://doi.org/10.1016/j.enpol.2019.111118
Henry, B., McKeon, G., Syktus, J., Carter, J., Day,K. & David Rayner. (2007). Climate variability, climate change and land degradation. In V.K. Mannava, Sivakumar, Ndiangui Ndegwa (Eds.) Climate and land degradation (pp. 20–221). Berlin Heidelberg, Germany: Springer.
Hill, T., & Westbrook, R. (1997). SWOT analysis: It is time for a product recall. Long Range Planning, 30(1), 46–52. Doi: https://doi.org/10.1016/S0024-6301(96)00095-7
Humphrey, A. (2005). SWOT analysis for management consulting. SRI Alumni Newsletter . United States: SRI International.
Hung, K. (2013). Understanding China’s hotel industry: A SWOT analysis. Journal of China Tourism Research, 9(1), 81–93. Doi: https://doi.org/10.1080/19388160.2013.756771
Hussey, L. K. (2014). Analytic Network Process (ANP) for housing quality evaluation: A case study in Ghana (Electronic Thesis and Dissertation Repositor.2407) [Doctoral dissertation, Western University]. https://ir.lib.uwo.ca/etd/2407
IPCC. (2007). Climate Change 2007: The physical science basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change [Solomon, S., D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M. Tignor and H.L. Miller (eds.)]. Cambridge: Cambridge University Press.
Jahangir, A. T. M., Sayedur, R. M., & Saadat, A. H. M. (2013). Monitoring meteorological and agricultural drought dynamics in Barind region Bangladesh using standard precipitation index and Markov chain model. International Journal of Geomatics and Geosciences, 3(3), 511–524. Doi: http://dx.doi.org/10.1002/ird.1800
Jenkins, K. L. (2011). Modelling the economic and social consequences of drought under future projections of climate change. PhD Thesis, Department of Land Economy, University of Cambridge, UK.
Kabak, M., Dagdeviren, M., & Burmaoglu, S. (2016). A hybrid SWOT-FANP model for energy policy making in Turkey. Energy Sources, Part B: Economics, Planning, and Policy, 11(6), 487–495. Doi: https://doi.org/10.1080/15567249.2012.673692
Kahraman, C. (2012). Computational intelligence systems in industrial engineering: With recent theory and applications. Springer Science & Business Media.
Kallioras, A., Pliakas, F., Diamantis, I., & Kallergis, G. (2010). SWOT analysis in groundwater resources management of coastal aquifers: A case study from Greece. Water International, 35(4), 425–441. Doi: https://doi.org/10.1080/02508060.2010.508929
Kaya, İ., Çolak, M., & Terzi, F. (2019). A comprehensive review of fuzzy multi criteria decision making methodologies for energy policymaking. Energy Strategy Reviews, 24, 207–228. Doi: https://doi.org/10.1016/j.esr.2019.03.003
Khatir, M. V., & Akbarzadeh, Z. (2019). Elucidation of structural relationships of SWOT: A mixed method approach based on FMADM for formulating science and technology strategies. Technology in Society, 56, 44–56. Doi: https://doi.org/10.1016/j.techsoc.2018.09.004
Koba, M. (2014, September 5). Global drought real threat to lives and economies: Experts. CNBC. http://www.cnbc.com/2014/09/05/global-drought-real-threat-to-lives-and-economices-experts.html
Koupaei, M. N., Sobhanallahi, M. A., & Horri, A. (2015). A Fuzzy ANP-SWOT approach for analyzing the I.T. problems based on capabilities in Iran. International Journal of Supply and Operations Management, 1(4), 427.
Lee, Y.-H. (2013). Application of a SWOT-FANP method. Technological and Economic Development of Economy, 19(4), 570–592. Doi: https://doi.org/10.3846/20294913.2013.837111
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