Published December 1, 2020
| Version v1
Journal article
Open
Economic Impact of Super Typhoon Yolanda on the Livelihood of Coconut (Cocos nucifera) Farmers in Selected Areas of Leyte
- 1. Pomponan National High School, Baybay City
- 2. Department of Economics, Visayas State University
Description
This paper examines the impact of the super typhoon Yolanda on the livelihood of coconut farmers in Leyte using quantitative approach. Impact evaluation answers to the cause-and-effect questions thus providing information about the impact of and intervention or an event. The impact quantification will be done by analyzing the survey data using descriptive analysis, gross-margin analysis, means comparison, and propensity score matching method. The propensity score matching is a method of impact assessment where the multidimensionality of the data is reduced to a single dimension. A total of one hundred seventy-six (176) coconut farmers were interviewed face to face using structured questionnaire of which eighty-three (83) were from the not-affected area and ninety-three (93) were from the typhoon affected area. We find that the impact of the super typhoon has significantly reduced the annual income of coconut farmers. Majority of the farmers replanted the damaged coconut trees. It is recommended that the replanting of coconut trees must be assisted by government agencies to select better and resilient varieties of coconut. Farmers may also consider using an improved variety such as hybrid coconut varieties to maximize productivity of coconuts in Leyte, Philippines.
Files
Vol-4-Paper-4-2020-pp.-51-69-Calungsod-Ramoneda.pdf
Files
(561.0 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:97b495560e34df271879ef55a3432b42
|
561.0 kB | Preview Download |
Additional details
Related works
- Is derived from
- Journal article: http://www.reserds.com/volume-4-paper-4/ (URL)
References
- Ali A., & Erenstein O. (2016). Assessing farmer use of climate change adaptation practices and impacts on food security and poverty in Pakistan. Climate Risk Management,16 (2017), 183-194. https://doi.org/10.1016/j.crm.2016.12.001
- Brown, S. (2013). The Philippines is the most storm-exposed country on earth. Retrieved September 8, 2020, from https://world.time.com/2013/11/11/the-philippines-is-the-most-storm-exposed-country-on-earth/
- Dy, R. (2006). The Philippine Coconut Industry: Performance, Issues, and Recommendations, Economic Policy Reform Advocacy Retrieved February 26, 2018, from https://www.scribd.com/doc/4938753/The-Philippine-Coconut-Industry-Performance-Issues-and-Recommendations
- Department of Agriculture (DA). (2014). Yolanda-affected farmers will soon reap first crop after typhoon. Retrieved May 6, 2020, from https://www.officialgazette.gov.ph/2014/03/24/yolanda-affected-farmers-will-soon-reap-first-crop-after-typhoon/
- Food and Agriculture Organization of the United Nations (FAO) (2015). The impact of disasters on agriculture and food security. Retrieved September 8, 2020, from https://reliefweb.int/sites/reliefweb.int/files/resources/a-i5128e.pdf
- Gertler, P. J., Martinez, S., Premand, P., Rawlings, L. B., & Vermeersch, C. M. (2016). Impact Evaluation in Practice (Second ed.). Washington, DC. The World Bank and Inter-American Development Bank.
- Herrera A., Brul E., Cadavid R., & Chavarría E. (2019). Building Resilience of Coconut Smallholder Farmers in the Philippines: Final Evaluation Report of the Farmer Link Program.
- Kim, T. K. (2015). T-test as Parametric Statistic. Korean Journal of Anesthesiology, 68, 540–546. https://doi.org/10.4097/kjae.2015.68.6.540.
- Lagmay, A.M.F., Agaton, R.P., Bahala, M.A.C., Briones J.B.L.T., Cabacaba K.M.C., Caro, C.V.C., Dasallas, L.L., Gonzalo, L.A.L., Ladiero, C.N., Lapidez, J.P., Muncal, M.T.F., Puno, J.V.R., Ramos, M.M.A.C., Snatiago, J., Suarez, J.K., & Tablazon, J.P., (2014). Devastating storm surges of Typhoon Haiyan. International Journal of Disaster Risk Reduction, 11, 1-12. https://doi.org/10.1016/j.ijdrr.2014.10.006
- Magat, S., 2014. Understanding Right, the Productivity (yield) of Coconut from the Philippines' Research and Field Experience: A Knowledge Tool for Industry Development and Management (A Research Notes). Retrieved October 19, 2018, from http://www.da.gov.ph/coconutrde/images/yield.pdf
- Mendelson, R., Emmanuel, K., Chonabayashi, S., & Bakkensen, L., (2012). The Impact of Climate Change on Global Tropical Cyclone Damage. Nature Climate Change, 2, 205-209.
- Mendola, M. (2007). Agricultural technology adoption and poverty reduction: A propensity-score matching analysis for rural Bangladesh. Food Policy, 32, 372-393. https://doi.org/10.1016/j.foodpol.2006.07.003
- Mondeñedo, R., (2004). Choice of Market Outlets by Coconut Producers among Selected Barangays in Baybay, Leyte. Unpublished Undergraduate Thesis. Visayas State University, Baybay City, Leyte.
- National Disaster Risk Reduction Management Council (NDRRMC). (2015). Final Report. Retrieved September 15, 2016, from http://www.ndrrmc.gov.ph/attachments/article/1329/FINAL_REPORT_ re_Effects_of_Typhoon_YOLANDA_(HAIYAN)_06-09NOV2013.pdf
- OXFAM. (2013). Rebuilding Better For Coconut Farmers, Post-Haiyan reconstruction in the Philippines. OXFAM International. Retrieved October 19, 2018, from https://www.oxfam.org/sites/www.oxfam.org/files/bn-coconut-livelihoods-Philippines-recovery-120214-en.pdf.
- Philippine Coconut Authority (PCA). (2015). Philippine Coconut Authority. Retrieved February 28, 2018, from http://www.pca.da.gov.ph/index.php/2015-10-26-03-15-57/2015-10-26-03-22-41
- Rojers, P. (2012). Introduction to Impact Evaluation. Impact Evaluation Notes No. 1. Retrieved January 27, 2019, from https://www.interaction.org/wp-content/uploads/2019/03/1-Introduction-to-Impact-Evaluation.pdf
- Rosenbaum, P. & Rubin, D. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70, 41-55.
- Ruales, J.H., Seriño, M.N.V., Ratilla, T. C., Cuizon, J. G., & Enerlan, W.C. (2020). Investment Appraisal of Selected Climate Smart Agricultural (CSA) Practices Among Small Scale Coconut Farmers in Leyte, Philippines. Scientific Papers Series Management, Economic Engineering in Agriculture and Rural Development, 20(3), 499-506.
- Seriño, M.N.V., Ureta, J.C., Baldesco, J., Galvez, K.J., Predo, C., & Seriño, E.K.L. (2017). Valuing the protection service provided by mangroves in typhoon-hit areas in the Philippines. (Economy and Environment Program for Southeast Asia (EEPSEA) Research Report No. 2017-RR19). http://www.eepseapartners.org/wp-content/uploads/publication/2017-RR19Serino_web.pdf
- Seriño, M.N.V., Cavero, J.A., Cuizon, J., Ratilla, T.C., Ramoneda, B.M., Bellezas, M.H.I. & Ceniza, M.J.C. (2020). Impact of the 2013 Super Typhoon Haiyan on the Livelihood of Small-Scale Coconut Farmers in Leyte Island, Philippines. International Journal of Disaster Risk Reduction, 101939. https://doi.org/10.1016/j.ijdrr.2020.101939.
- Taganas, A.H. (2019). Assessing the Impact of Super Typhoon Yolanda (Haiyan) on the Livelihood of Coconut Dependent Farmers in Kananga, Leyte and Sogod, Southern Leyte, Philippines. Review of Socio-Economic Research and Development Studies, 3(1), 58-77. http://www.reserds.com/vol-3-paper-4/
- United Coconut Association of the Philippines (UCAP). (2018). United Coconut Association in the Philippines. Retrieved March 1, 2018 from https://ucap.org.ph/news-manager/2019/17/philippine-export-of-coconut-products-up-in-october-2018/
- Ureta B.B.E., Higgins D., & Arslan A. (2020). Irrigation infrastructure and farm productivity in the Philippines: A stochastic Meta-Frontier analysis. World Development, 135, 2020, 105073.