Rainfall variability and coconut production dynamics in Eastern Visayas, Philippines: A spatiotemporal analysis using panel data (2010-2025)

Authors

  • Nathan Andrie Ama Department of Agribusiness, Southern Leyte State University, Hinunangan Campus, Philippines

DOI:

https://doi.org/10.25081/jpc.2026.v54.i2.10112

Abstract

This study examined spatiotemporal patterns of coconut production and their association with rainfall across six provinces of Eastern Visayas, Philippines, from 2010 to 2025. A balanced provincial panel (6 provinces × 16 years; N=96) was analyzed using Mann–Kendall trend tests with Sen's slope, a province fixed-effects regression of yield on bearing-tree density and one-year-lagged annual rainfall, and an area–yield–interaction decomposition. Production declined in five of six provinces, but no production trend remained significant after correction for serial autocorrelation. Annual rainfall showed no monotonic trend in any province, which does not show that rainfall was stable. Bearing-tree density and province accounted for 84.3% of the variance in yield, mostly between provinces. One-year-lagged rainfall added 0.008 to R² (p = .034) but was only narrowly significant under a wild cluster bootstrap (p = .043), and density was not (p = .193); residuals were serially correlated, so conventional p-values are likely too small. Yield change was the larger component of production change in four of six provinces. These are associations from a short observational panel, not causal effects; finer rainfall indicators and typhoon, replanting and management data are needed.

Downloads

Download data is not yet available.

References

Aclan, M. A., & Curay, M. G. (2025). Irregularity and time-series trend analysis of rainfall in Baybay City, Leyte, Philippines. Annals of Tropical Research, 47(1), 90-102. https://doi.org/10.32945/atr4717.2025

Agoh, C. F., Saley, M. B., Lekadou, T. T., Yao, S. D. M., Coffi, P.-M. J., Hala, N. F., & Goula, B. T. A. (2023). Impacts of climate variability on the production of Dwarf × Tall and Tall × Tall coconut (Cocos nucifera L.) palm hybrids planted on the coast in Côte d'Ivoire. International Journal of Biological and Chemical Sciences, 17(2), 451-474. https://doi.org/10.4314/ijbcs.v17i2.14

Antia-Obong, E., Eno, W., & Obot, A. (2024). Analysis of coconut production trends under three policy phases in Nigeria. Kahramanmaraş Sütçü İmam Üniversitesi Tarım ve Doğa Dergisi, 27(3), 665-673. https://doi.org/10.18016/ksutarimdoga.vi.1309549

Bentayao, C. M., Verzosa, R. C., Vilela, E. M., & Nemenzo-Calica, P. (2025). Knowledge, attitudes, and agricultural practices of coconut farmers on the impacts of climate change on coconut productivity and sustainability in Barangay Capasnan, Manay, Davao Oriental, Philippines. Journal of Tropical Crop Science, 12(1), 158-171. https://doi.org/10.29244/jtcs.12.01.158-171

Beveridge, F. C., Kalaipandian, S., Yang, C., & Adkins, S. W. (2022). Fruit biology of coconut (Cocos nucifera L.). Plants, 11(23), 3293. https://doi.org/10.3390/plants11233293

Bogale, G. A. (2023). Analysis the characterization of climate change and its impacts on smallholder farmers in Eastern Ethiopia. Heliyon, 9(10), e20293. https://doi.org/10.1016/j.heliyon.2023.e20293

Calungsod, M., & Ramoneda, B. (2020). Economic impact of Super Typhoon Yolanda on the livelihood of coconut (Cocos nucifera) farmers in selected areas of Leyte. Review of Socio-Economic Research and Development Studies, 4(1), 51-69.

Cameron, A. C., Gelbach, J. B., & Miller, D. L. (2008). Bootstrap-based improvements for inference with clustered errors. The Review of Economics and Statistics, 90(3), 414-427. https://doi.org/10.1162/rest.90.3.414

Child, R. (1974). Coconuts. (2nd ed.). Longman.

Crisostomo, S. D., Cruz, C. D. V. D., Quilloy, R. B., & Reaño, C. E. (2023). Narrowing the yield gap of coconut (Cocos nucifera L.) through integrated nutrient management in the Philippines: An on-farm experiment approach. IOP Conference Series: Earth and Environmental Science, 1235, 012008. https://doi.org/10.1088/1755-1315/1235/1/012008

Driscoll, J. C., & Kraay, A. C. (1998). Consistent covariance matrix estimation with spatially dependent panel data. The Review of Economics and Statistics, 80(4), 549-560. https://doi.org/10.1162/003465398557825

Evans, I. S. (1977). The selection of class intervals. Transactions of the Institute of British Geographers, 2(1), 98-124. https://doi.org/10.2307/622195

Gilbert, R. O. (1987). Statistical methods for environmental pollution monitoring. Van Nostrand Reinhold.

Hamed, K. H., & Rao, A. R. (1998). A modified Mann–Kendall trend test for autocorrelated data. Journal of Hydrology, 204(1-4), 182-196. https://doi.org/10.1016/S0022-1694(97)00125-X

Kendall, M. G. (1975). Rank correlation methods. (4th ed.). Charles Griffin.

Kumar, M., Agrawal, P. K., Roy, P., & Sircar, D. (2022). GC-MS-based metabolomics reveals dynamic changes in the nutritionally important metabolites in coconut meat during nut maturation. Journal of Food Composition and Analysis, 114, 104869. https://doi.org/10.1016/j.jfca.2022.104869

Mann, H. B. (1945). Nonparametric tests against trend. Econometrica, 13(3), 245-259. https://doi.org/10.2307/1907187

Minhas, B. S., & Vaidyanathan, A. (1965). Growth of crop output in India, 1951–54 to 1958–61: An analysis by component elements. Journal of the Indian Society of Agricultural Statistics, 17(2), 230-252.

Moreno, M. L., Kuwornu, J. K. M., & Szabo, S. (2020). Overview and constraints of the coconut supply chain in the Philippines. International Journal of Fruit Science, 20(S2), S524-S541. https://doi.org/10.1080/15538362.2020.1746727

Narmadha, N., & Karunakaran, K. R. (2022). Growth performance of coconut production in global scenario: A quin-decadal analysis. Journal of Experimental Agriculture International, 44(11), 7-15. https://doi.org/10.9734/jeai/2022/v44i1130902

Nery, M. K. M., Fernandes, G. S. T., Pinto, J. V. de N., Rua, M. L., Santos, M. G. M., Ribeiro, L. R. T., Navarro, L. M., de Souza, P. J. O. P., & Rolim, G. de S. (2025). The application of machine learning to model the impacts of extreme climatic events on the productivity of dwarf green coconut trees in the eastern Amazon. AgriEngineering, 7(2), 33. https://doi.org/10.3390/agriengineering7020033

Peiris, T. S. G., Thattil, R. O., & Mahindapala, R. (1995). An analysis of the effect of climate and weather on coconut (Cocos nucifera). Experimental Agriculture, 31(4), 451-460. https://doi.org/10.1017/S0014479700026430

Petilla, C. E. R., Tonga, L. P. S., Olaguera, L. M. P., & Matsumoto, J. (2023). Changes in intensity and tracks of tropical cyclones crossing the central and southern Philippines from 1979 to 2020: An observational study. Progress in Earth and Planetary Science, 10, 32. https://doi.org/10.1186/s40645-023-00563-1

Pettitt, A. N. (1979). A non-parametric approach to the change-point problem. Journal of the Royal Statistical Society: Series C (Applied Statistics), 28(2), 126-135. https://doi.org/10.2307/2346729

Philippine Coconut Authority. (2022). PCA mobilizes to assist coconut farmers and communities affected by “Odette”. Retrieved from https://www.pca.gov.ph/index.php/10-news/404-pca-mobilizes-to-assist-coconut-farmers-and-communities-affected-by-odette

Philippine Statistics Authority. (2024). 2023 commodity fact sheets. Retrieved from https://psa.gov.ph/system/files/main-publication/Commodity%20Fact%20Sheets%202023_26November2024_e-signed-RCL.pdf

Philippine Statistics Authority–Regional Statistical Services Office VIII. (2025, July 29). Eastern Visayas provincial StatWatch. Retrieved from https://rsso08.psa.gov.ph/system/files/publication/EV_Provincial_Statwatch_Jul%202025.pdf

Pormon, M. M. M., Tamayo, K. R., Ledda, A. A. B., Baranda, E. L. O., Auza, J. M., & Morillo, M. L. (2021). An assessment of post-Yolanda rehabilitation programs: A case of the coconut industry in Burauen, Leyte. International Journal of Disaster Risk Reduction, 59, 102233. https://doi.org/10.1016/j.ijdrr.2021.102233

Rani, S., Maheswarappa, H. P., & Sudhalakshmi, C. (2021). Impact of temperature and rainfall on production and productivity of coconut. Indian Journal of Horticulture, 78(3), 287-291. https://doi.org/10.5958/0974-0112.2021.00041.4

Reyes, A. C. (2025). Nature's fury to bounty: Coconuts washed ashore by Typhoon Tino provide lifeline for sea village folks. Philippine Information Agency. Retrieved from https://pia.gov.ph/features/natures-fury-to-bounty-coconuts-washed-ashore-by-typhoon-tino-provide-lifeline-for-sea-village-folks/

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.

Sekhon, N., David, C. P. C., Geronia, M. C. M., Custado, M. J. G., & Ibarra, D. E. (2022). Investigating the response of hydrological processes to El Niño events using a 100-year dataset from the western Pacific Ocean. Journal of Hydrology: Regional Studies, 42, 101174. https://doi.org/10.1016/j.ejrh.2022.101174

Sen, P. K. (1968). Estimates of the regression coefficient based on Kendall's tau. Journal of the American Statistical Association, 63(324), 1379-1389. https://doi.org/10.1080/01621459.1968.10480934

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, 52, 101939. https://doi.org/10.1016/j.ijdrr.2020.101939

Silva, K. I., & Matsui, K. (2026). Assessing multiple-year climate variability impacts on coconut production and price in Sri Lanka. Climate, 14(3), 62. https://doi.org/10.3390/cli14030062

Talib, S. A. A., Idris, W. M. R., Neng, L. J., Lihan, T., & Rasid, M. Z. A. (2024). Irregularity and time series trend analysis of rainfall in Johor, Malaysia. Heliyon, 10(9), e30324. https://doi.org/10.1016/j.heliyon.2024.e30324

Trac, N. T., & Thuy, P. T. P. (2026). The current status of cultivation and soil fertility of coconut plantations in Vinh Long province, Vietnam. Agricultural Science Digest, 46(3), 415-421. https://doi.org/10.18805/ag.df-827

Wooldridge, J. M. (2010). Econometric analysis of cross section and panel data. (2nd ed.). MIT Press.

Wooldridge, J. M. (2015). Introductory econometrics: A modern approach. (6th ed.). Cengage Learning.

Yue, S., Pilon, P., Phinney, B., & Cavadias, G. (2002). The influence of autocorrelation on the ability to detect trend in hydrological series. Hydrological Processes, 16(9), 1807-1829. https://doi.org/10.1002/hyp.1095

Zainol, F. A., Arumugam, N., Daud, W. N. W., Suhaimi, N. A. M., Ishola, B. D., Ishak, A. Z., & Afthanorhan, A. (2023). Coconut value chain analysis: A systematic review. Agriculture, 13(7), 1379. https://doi.org/10.3390/agriculture13071379

Published

23-10-2026

How to Cite

Ama, N. A. (2026). Rainfall variability and coconut production dynamics in Eastern Visayas, Philippines: A spatiotemporal analysis using panel data (2010-2025). Journal of Plantation Crops, 54(2), 80–93. https://doi.org/10.25081/jpc.2026.v54.i2.10112

Issue

Section

Research Articles