Abstract
This study sought to determine the factors influencing rice farmers’ adaptation to a slow-onset hazard such as saltwater inundation. The research is based on a survey conducted through personal interviews using Kobotool App consisting of 326 coastal rice farmers in Northern Mindanao, the Philippines and 258 rice farmers in two provinces in the Mekong Delta in Vietnam. There were four levels of analyses for the assessment of the feasibility of the adaptation measures implemented by the farmers. First, it classified adaptation measures into specific categories: technology based, farm-based crop management, ecosystem-based adaptation, off-farm income diversification, and other measures. Second, it developed a multi-criteria assessment tool on adaptation measures based on stakeholder analysis and expert judgment based on four major feasibility criteria. Third, it determined the level of adaptation based on the combination of measures and the feasibility of the chosen measures by constructing a measure-based adaptation index (MAI). Finally, it came up with a model showing the factors influencing the MAI of the farmers. The results revealed that adaptation takes place at different levels in the two countries based on the diversity of measures, the feasibility of the various measures, and the varying conditions of saltwater inundation. The empirical evidence provides systematic support for the hypothesis that adaptation measures are influenced by a confluence of social, institutional, and economic factors.
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References
Abuyuan R (2014) Slow onset climate change impacts. Institute for Climate and Sustainable Cities, Christian Aid, Manila, Philippines
Adger WNN, Agrawala S, Mirza MMQ, Conde C, O’Brien K, Pulhin J, Pulwarty R, Smit B, Takahashi K (2007) Assessment of adaptation practices, options, constraints and capacity. Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. In Parry ML, Canziani OF, Palutikof JP, van der Linden PJ, Hanson CE (Eds), Cambridge University Press, Cambridge, UK, pp 717–743
Adger WN, Dessai S, Goulden M, Hulme M, Lorenzoni I, Nelson DR, Wreford A (2009) Are there social limits to adaptation to climate change? Clim Change 93(3–4):335–354. https://doi.org/10.1007/s10584-008-9520-z
Adger WNN, Pulhin JMJ, Barnett J, Dabelko GDGD, Hovelsrud GKGK, Levy M, …, Vogel CCH (2014) Human security. Climate change 2014: impacts, adaptation, and vulnerability. Part A: global and sectoral aspects. Contribution of Working Group II to the fifth assessment report of the Intergovernmental Panel on Climate. Change, 755–791. https://doi.org/10.1017/CBO9781107415379.017
Agrawal A, Lemos MC (2015) Adaptive development. Nat Clim Change 5(3):185–187. https://doi.org/10.1038/nclimate2501
Alam GMM, Alam K, Mushtaq S (2017) Climate change perceptions and local adaptation strategies of hazard-prone rural households in Bangladesh. Clim Risk Manag 17:52–63. https://doi.org/10.1016/j.crm.2017.06.006
Alemayehu A, Bewket W (2017) Determinants of smallholder farmers’ choice of coping and adaptation strategies to climate change and variability in the central highlands of Ethiopia. Environmental. Development 24:77–85. https://doi.org/10.1016/j.envdev.2017.06.006
Arbuckle JG, Morton LW, Hobbs, J (2015) Understanding farmer perspectives on climate change adaptation and mitigation: the roles of trust in sources of climate information, climate change beliefs, and perceived risk. https://doi.org/10.1177/0013916513503832
Arfanuzzaman M, Islam S, Syed A (2016) Evaluation of adaptation practices in the agriculture sector of Bangladesh: an ecosystem based assessment. Climate 4(11):2–12. https://doi.org/10.3390/cli4010011
Bayani JKE, Dorado MA, Dorado RA (2009) Economic vulnerability and possible adaptation to coastal erosion in San Fernando City, Philippines. EEPSEA Research Report
Below TB, Mutabazi KD, Kirschke D, Franke C, Sieber S (2012) Can farmers’ adaptation to climate change be explained by socio‐economic household ‐ level variables? Glob Environ Change 22(1):1–32
Bewket W (2017) Climate change perceptions and adaptive responses of smallholder farmers in central highlands of Ethiopia Climate change perceptions and adaptive responses of smallholder farmers in central highlands of Ethiopia, 7233, October. https://doi.org/10.1080/00207233.2012.683328
Bierbaum RM, Zoellick RB (2009) Development and climate change. World Development Report 2010, vol 326. https://doi.org/10.1126/science.1183876
Binh NT (2011) Vulnerability Assessment to Salinity Intrusion in the Mekong Delta. Scientific Report in Can Tho University, Vietnam, Code T2011-57
Binh NT (2015) Vulnerability and adaptation to salinity intrusion in the Mekong delta of Vietnam. Doctoral dissertation, Bonn University, p 159
Brown A, Dayal A, Rumbaitis Del Rio C (2012) From practice to theory: emerging lessons from Asia for building urban climate change resilience. Environ Urban 24(2):531–556. https://doi.org/10.1177/0956247812456490
Bryan E, Ringler C, Okoba B, Roncoli C, Silvestri S, Herrero M (2013) Adapting agriculture to climate change in Kenya: household strategies and determinants. J Environ Manag 114:26–35. https://doi.org/10.1016/j.jenvman.2012.10.036
Carraro C, De Cian E, Bosello F (2009) An analysis of adaptation as a response to climate change. SSRN Electron J: 62. https://doi.org/10.2139/ssrn.1513286
CGIAR Research Program on Climate Change, Agriculture and Food Security–Southeast Asia (CCAFS-SEA) (2016) The drought and salinity intrusion in the Mekong River Delta of Vietnam: assessment report. CCAFS-SEA Regional Program, Hanoi, Vietnam
Chandra A, Dargusch P, McNamara KE, Caspe AM, Dalabajan D (2017) A study of climate-smart farming practices and climate-resiliency field schools in Mindanao, the Philippines. World Dev 98:214–230. https://doi.org/10.1016/j.worlddev.2017.04.028
Cismaru M, Cismaru R, Ono T, Nelson K (2011) “Act on climate change”: an application of protection motivation theory. Soc Mark Q 17(3):62–84. https://doi.org/10.1080/15245004.2011.595539
Colls A, Ash N, Ikkala N (2009) Ecosystem-based adaptation: a natural response to climate change. IUCN, p 16. http://cmsdata.iucn.org/downloads/iucn_eba_brochure.pdf
Danh V, Khai H (2014) Using a RISK COST-BENEFIT ANALYSIS FOR A SEA DIKE TO ADAPT TO THE SEA LEVEl in the Vietnamese Mekong River Delta. Climate 2(2):78–102. https://doi.org/10.3390/cli2020078
Dietz S (2012) From efficiency to justice: utility as the informational basis of climate strategies, and some alternatives. The Oxford handbook of climate change and society, vol 15, p 1–23. https://doi.org/10.1093/oxfordhb/9780199566600.003.0020
Eakin H, Bojórquez-Tapia LA (2008) Insights into the composition of household vulnerability from multicriteria decision analysis. Glob Environ Change 18(1):112–127. https://doi.org/10.1016/j.gloenvcha.2007.09.001
Elum ZA, Modise DM, Marr A (2016) Farmer’s perception of climate change and responsive strategies in three selected provinces of South Africa. Climate Risk Management. https://doi.org/10.1016/j.crm.2016.11.001
Elum ZA, Modise DM, Marr A (2017) Farmer’s perception of climate change and responsive strategies in three selected provinces of South Africa. Clim Risk Manag 16:246–257. https://doi.org/10.1016/j.crm.2016.11.001
Eriksen S, Brown K (2011) Sustainable adaptation to climate change. Clim Dev 3(1):3–6. https://doi.org/10.3763/cdev.2010.0064
Feng X, Liu M, Huo X, Ma W (2017) What motivates farmers’ adaptation to climate change? The case of apple farmers of Shaanxi in China. Sustainability 9(4):519. https://doi.org/10.3390/su9040519
Frondel M, Simora M, Sommer S (2017) Risk perception of climate change: empirical evidence for Germany. Ecol Econ 137:173–183. https://doi.org/10.1016/j.ecolecon.2017.02.019
Fujisawa M, Kobayashi K, Johnston P, New M (2015) What drives farmers to make top-down or bottom-up adaptation to climate change and fluctuations? A comparative study on 3 cases of apple farming in Japan and South Africa, p 1–16. https://doi.org/10.1371/journal.pone.0120563
Füssel HM (2010) How inequitable is the global distribution of responsibility, capability, and vulnerability to climate change: a comprehensive indicator-based assessment. Glob Environ Change 20(4):597–611. https://doi.org/10.1016/j.gloenvcha.2010.07.009
Gandure S, Walker S, Botha JJ (2013) Farmers’ perceptions of adaptation to climate change and water stress in a South African rural community. Environ Dev 5:39–53. https://doi.org/10.1016/j.envdev.2012.11.004
Grothmann T, Reusswig F (2006) People at risk of flooding: why some residents take precautionary action while others do not. Nat Hazards 38(1–2):101–120. https://doi.org/10.1007/s11069-005-8604-6
Harrison SR, Qureshi ME (2000) Choice of stakeholder groups and members in multicriteria decision models. Nat Resour Forum 24(1):11–19. https://doi.org/10.1016/S0165-0203(99)00040-9
Hartter J, Stampone MD, Ryan SJ, Kirner K, Chapman CA, Goldman A (2012) Patterns and perceptions of climate change in a biodiversity conservation hotspot. PLoS ONE 7(2). https://doi.org/10.1371/journal.pone.0032408
Hinkel J, Klein RJT (2009) Integrating knowledge to assess coastal vulnerability to sea-level rise: the development of the DIVA tool. Glob Environ Change 19(3):384–395. https://doi.org/10.1016/j.gloenvcha.2009.03.002
Howden SM, Soussana J-F, Tubiello FN, Chhetri N, Dunlop M, Meinke H (2007) Adapting agriculture to climate change. Proc Natl Acad Sci 104(50):19691–19696. https://doi.org/10.1073/pnas.0701890104
Huang J, Wang J, Wang Y (2015) Farmers’ adaptation to extreme weather events through farm management and its impacts on the mean and risk of rice yield in China. Am J Agric Econ 97(2):602–617. https://doi.org/10.1093/ajae/aav005
Huq N, Hugé J, Boon E, Gain AK (2015) Climate change impacts in agricultural communities in rural areas of coastal bangladesh: a tale of many stories. Sustainability 7(7):8438–8460. https://doi.org/10.3390/su7078437
IPCC (2012) Managing the risks of extreme events and disasters to advance climate change adaptation. IPCC. https://doi.org/10.1596/978-0-8213-8845-7
Jagger J, Rounsevell MDA, Harrison PA, Omann I, Dunford R, Kammerlander M, Pataki G (2014) Assessing policy robustness of climate change adaptation measures across sectors and scenarios. Climatic Change 128(3–4):395–407. https://doi.org/10.1007/s10584-014-1240-y
Khang ND, Kotera A, Sakamoto T, Yokozawa M (2008) Sensitivity of salinity intrusion to sea level rise and river flow change in Vietnamese Mekong Delta-Impacts on availability of irrigation water for rice cropping. J Agric Meteorol 64(3):167–176. https://doi.org/10.2480/agrmet.64.3.4
Khanom T (2016) Effect of salinity on food security in the context of interior coast of Bangladesh. Ocean Coast Manag 130:205–212. https://doi.org/10.1016/j.ocecoaman.2016.06.013
Kibue GW, Liu X, Zheng J (2016) Farmers’ perceptions of climate variability and factors influencing adaptation: evidence from Anhui and Jiangsu, China. Environ Manag 57(5):976–986. https://doi.org/10.1007/s00267-016-0661-y
Kim I, Elisha I, Lawrence E, Moses M (2017) Farmers adaptation strategies to the effect of climate variation on rice production: a case study in Ekiti State, Nigeria. Agrosearch 5(4):289–301. https://doi.org/10.13189/eer.2017.050406
Kumar A, Pulwarty RS, Seyller EA, Ii BLT, Washington WM, Wilbanks TJ (2012) Hell and high water: practice-relevant adaptation science. Science 342(6159):696–698. https://doi.org/10.1126/science.1239569
Le Dang H, Li E, Nuberg I, Bruwer J (2014) Farmers’ assessments of private adaptive measures to climate change and influential factors: a study in the Mekong Delta, Vietnam. Nat Hazards 71(1):385–401. https://doi.org/10.1007/s11069-013-0931-4
Limantol AM, Keith BE, Azabre BA, Lennartz B (2016) Farmers’ perception and adaptation practice to climate variability and change: a case study of the Vea catchment in Ghana. SpringerPlus 5. https://doi.org/10.1186/s40064-016-2433-9
Mabe FN, Sienso G, Donkoh SA (2014) Determinants of choice of climate change adaptation strategies in Northern Ghana. Res Appl Econ 6(4):75. https://doi.org/10.5296/rae.v6i4.6121
Mertz O, Mbow C, Reenberg A, Diouf A (2009) Farmers’ perceptions of climate change and agricultural adaptation strategies in rural sahel. Environ Manag 43(5):804–816. https://doi.org/10.1007/s00267-008-9197-0
Morton JF (2007) The impact of climate change on smallholder and subsistence agriculture. Proc Natl Acad Sci 104(50):19680–19685. https://doi.org/10.1073/pnas.0701855104
Mulenga BP, Wineman A, Sitko NJ (2017) Climate Trends and Farmers’ Perceptions of Climate Change in Zambia. Environ Manag: 291–306. https://doi.org/10.1007/s00267-016-0780-5
Nguyen TPL, Seddaiu G, Virdis SGP, Tidore C, Pasqui M, Roggero PP (2016) Perceiving to learn or learning to perceive? Understanding farmers’ perceptions and adaptation to climate uncertainties. Agric Syst 143:205–216. https://doi.org/10.1016/j.agsy.2016.01.001
Pallant J (2001) SPSS survival manual, a step by step guide to data analysis using SPSS for windows (version 10). Open University Press, Philadelphia, PA. www.openup.co.uk/spss
Pandey R, Jha SK (2012) Climate vulnerability index - measure of climate change vulnerability to communities: a case of rural Lower Himalaya, India. Mitig Adapt Strateg Glob Change 17(5):487–506. https://doi.org/10.1007/s11027-011-9338-2
Pandey S, Bhandari H, Hardy B (2007) Economic costs of drought and rice farmers’ coping mechanisms: a cross-country comparative analysis. J Chem Inf Model 53. https://doi.org/10.1017/CBO9781107415324.004
Rolland A (2013) Reference-based preferences aggregation procedures in multi-criteria decision making. Eur J Operational Res 225(3):479–486. https://doi.org/10.1016/j.ejor.2012.10.013
Safi AS, Smith WJ, Liu Z (2012) Rural Nevada and climate change: vulnerability, beliefs, and risk perception. 32(6). https://doi.org/10.1111/j.1539-6924.2012.01836.x
Saito N (2013) Mainstreaming climate change adaptation in least developed countries in South and Southeast Asia. Mitig Adapt Strateg Glob Change 18(6):825–849. https://doi.org/10.1007/s11027-012-9392-4
Smit B, Pilifosova O (2003) Adaptation to climate change in the context of sustainable development and equity. In: A Patwardhan & JF Soussana (eds) Working group II: impacts, adaptation and vulnerability, vol 8, p 880–912. IPCC. http://www.ipcc.ch/ipccreports/tar/wg2/pdf/wg2TARchap18.pdf
Smit B, Wandel J (2006) Adaptation, adaptive capacity and vulnerability. Glob Environ Change 16(3):282–292. https://doi.org/10.1016/j.gloenvcha.2006.03.008
Tessema YA, Joerin J, Patt A (2018) Factors affecting smallholder farmers’ adaptation to climate change through non-technological adjustments. Environ Dev 25:33–42. https://doi.org/10.1016/j.envdev.2017.11.001
Thuy NN, Anh HH (2015) Vulnerability of rice production in mekong river delta under impacts from floods, salinity and climate change. Int J Adv Sci Eng Inf Technol 5(4):272–279. https://doi.org/10.18517/ijaseit.5.4.545
Tompkins EL, Adger WN, Boyd E, Nicholson-Cole S, Weatherhead K, Arnell N (2010) Observed adaptation to climate change: UK evidence of transition to a well-adapting society. Glob Environ Change 20(4):627–635. https://doi.org/10.1016/j.gloenvcha.2010.05.001
Truelove HB, Carrico AR, Thabrew L (2015) A socio-psychological model for analyzing climate change adaptation: a case study of Sri Lankan paddy farmers. Glob Environ Change 31:85–97. https://doi.org/10.1016/j.gloenvcha.2014.12.010
Uddin MN, Bokelmann W, Dunn ES (2017) Determinants of farmers’ perception of climate change: a case study from the coastal region of Bangladesh: 151–165. https://doi.org/10.4236/ajcc.2017.61009
Yohe G, Tol RSJ (2001) Indicators for social and economic coping capacity-moving toward a working definition of adaptive capacity. Sep Glob Environ Change 12(1):25–40
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This research is funded through the Collaborative Research for Young Scientists Program of the Asia-Pacific Network for Global Change Research (APN), Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA) and the Commission of Higher Education.
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Almaden, C.R.C., Diep, T.T., Rola, A.C. et al. Factors Influencing Measure-based Adaptation of Rice Farmers for Slow-Onset Hazard: the Case of Saltwater Inundation in the Philippines and Vietnam. Environmental Management 66, 629–643 (2020). https://doi.org/10.1007/s00267-020-01332-2
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DOI: https://doi.org/10.1007/s00267-020-01332-2