ENSO (El-Niño Southern Oscillation) AND CONSUMER PRICES IN SOUTHEAST ASIA
DOI:
https://doi.org/10.17501/2357268X.2025.10103Keywords:
ENSO, consumer prices, consumer food prices, inflation, Southeast AsiaAbstract
ENSO (El Niño–Southern Oscillation) affects agricultural productivity by altering rainfall patterns and temperatures, which subsequently influence agricultural prices and may even trigger the rise of consumer prices. This study aims to examine the correlation of ENSO as represented by Oceanic Niño Index (ONI) and rainfall, as well as to examine the differences in consumer prices across different ENSO events, i.e., El Niño and La Niña, in Southeast Asian countries. We utilized rainfall data from the World Bank, ONI from the National Oceanic and Atmospheric Administration (NOAA), and consumer price index data (both general and food) from the Food and Agriculture Organization (FAO). Spearman’s rank correlation and the Mann-Whitney U test are used in this study. The results indicate Indonesia is the most affected country by ENSO, showing the strongest correlation (-0.7631) between ONI and rainfall, where El Niño reduces rainfall and La Niña otherwise. Additionally, consumer prices tend to differ noticeably between El Niño and when it does not happen. Timor Leste shows the largest gap (32.74), suggesting that strong El Niño are often associated with higher consumer prices. Similarly, the food prices in Lao PDR records the widest difference (61.60). In contrast, most countries do not show meaningful changes during La Niña. The results indicate that food prices react more strongly to El Niño than general prices which likely linked to lower agricultural yield, disruptions in supply chains, and greater price volatility in main food commodities. The need to strengthen climate-responsive food security policies are essential like prioritizing early warning system to integrate climate forecasts with agricultural planning, alongside the enhancement of food reserves and social protection as well to build resilience.
Downloads
References
Ahmad, F. S., Siregar, H., & Pasaribu, S. H. (2019). The Impact of El Nino on Inflation in Regional Indonesia: Spatial Panel Approach. Signifikan: Jurnal Ilmu Ekonomi, 8(1), 51–70. https://doi.org/10.15408/sjie.v8i1.7130
Alizadeh, O. (2022). A review of the El Niño-Southern Oscillation in future. Earth-Science Reviews, 235, 104246. https://doi.org/10.1016/j.earscirev.2022.104246
Badan Pusat Statistik. (2024). Laporan Perekonomian Indonesia 2024.
Cai, X., & Sakemoto, R. (2022). El Niño and Commodity Prices: New Findings From Partial Wavelet Coherence Analysis. Frontiers in Environmental Science, 10, 893879. https://doi.org/10.3389/FENVS.2022.893879/BIBTEX
Callahan, C. W., & Mankin, J. S. (2023). Persistent effect of El Niño on global economic growth. Science, 380(6649), 1064–1069. https://doi.org/10.1126/science.adf2983
Cevik, S., & Jalles, J. T. (2023). Eye of the Storm: The Impact of Climate Shocks on Inflation and Growth (0276; Research in Economics and Mathematics (REM) Working Paper). https://www.facebook.com/researchrem/
Chen, Y., Teo, F. Y., Wong, S. Y., Chan, A., Weng, C., & Falconer, R. A. (2024). Monsoonal Extreme Rainfall in Southeast Asia: A Review. Water, 17(1), 5. https://doi.org/10.3390/W17010005
Cherian, S., Sridhara, S., Manoj, K. N., Gopakkali, P., Ramesh, N., Alrajhi, A. A., Dewidar, A. Z., & Mattar, M. A. (2021). Impact of El Niño Southern Oscillation on Rainfall and Rice Production: A Micro-Level Analysis. Agronomy 2021, Vol. 11, Page 1021, 11(6), 1021. https://doi.org/10.3390/AGRONOMY11061021
Damatac, A. M., & Santos, M. D. (2016). Possible Effects of El Niño on Some Philippine Marine Fisheries Resources. In Philippine Journal of Science (Vol. 145, Issue 3).
Dufrénot, G., Ginn, W., & Pourroy, M. (2023). ENSO Climate Patterns on Global Economic Conditions. https://amu.hal.science/hal-04064759v1
Fajri, H. C., Siregar, H., & Sahara, S. (2019). Impact of Climate Change on Food Price in the Affected Provinces of El Nino and La Nina Phenomenon: Case of Indonesia. International Journal of Food and Agricultural Ecnomics, 7(4), 329–339. http://ageconsearch.umn.edu
FAO. (2024). GIEWS Update - Emerging La Niña conditions raise concerns about agricultural production and food security, particularly in areas still recovering from the lingering effects of the recent El Niño. https://openknowledge.fao.org/server/api/core/bitstreams/ef5db4a2-9c4a-4f6a-a186-8686909f7b88/content
Field, R. D., Van Der Werf, G. R., Fanin, T., Fetzer, E. J., Fuller, R., Jethva, H., Levy, R., Livesey, N. J., Luo, M., Torres, O., & Worden, H. M. (2016). Indonesian fire activity and smoke pollution in 2015 show persistent nonlinear sensitivity to El Niño-induced drought. Proceedings of the National Academy of Sciences of the United States of America, 113(33), 9204–9209. https://doi.org/10.1073/pnas.1524888113
Hidayat, R., Juniarti, M. D., & Ma’Rufah, U. (2018). Impact of la Niña and la Niña Modoki on Indonesia rainfall variability. IOP Conference Series: Earth and Environmental Science, 149(1). https://doi.org/10.1088/1755-1315/149/1/012046
Ichoku, H., Anthony, I., Olushola, T., & Martins, A. (2023). Modelling Dynamic Linkage Between Climate Change and Food Inflation in Nigeria. International Journal of Environment and Climate Change, 13(11), 1200–1217. https://doi.org/10.9734/ijecc/2023/v13i113272
Ismaya, B. I., & Anugrah, D. F. (2018). Determinant of Food Inflation: The Case of Indonesia. Buletin Ekonomi Moneter Dan Perbankan, 21(1), 81–94. https://doi.org/10.21098/bemp.v21i1.926
Kogan, F., & Guo, W. (2017). Strong 2015–2016 El Niño and implication to global ecosystems from space data. International Journal of Remote Sensing, 38(1), 161–178. https://doi.org/10.1080/01431161.2016.1259679
Li, Y., Strapasson, A., & Rojas, O. (2020). Assessment of El Niño and La Niña impacts on China: Enhancing the Early Warning System on Food and Agriculture. Weather and Climate Extremes, 27, 100208. https://doi.org/10.1016/J.WACE.2019.100208
Malau, L. R. E., Ulya, N. A., Anjani, R., & Rahmat, M. (2021). Study of ENSO impact on agricultural food crops price as basic knowledge to improve community resilience in climate change. IOP Conference Series: Earth and Environmental Science, 874(1). https://doi.org/10.1088/1755-1315/874/1/012008
Marpaung, B., Siregar, H., & Anggraeni, L. (2019). Analysis of El Niño Impact and the Price of Food Commodities on Inflation. In Jurnal Ekonomi Indonesia • (Vol. 8).
Moessner, R. (2022). Effects of Precipitation on Food Consumer Price Inflation (9961; CESifo Working Paper). www.RePEc.org
National Geographic Education. (2024, December). El Niño. National Geographic. https://education.nationalgeographic.org/resource/el-nino/
Nguyen-Thanh, H., Ngo-Duc, T., & Herrmann, M. (2023). The distinct impacts of the two types of ENSO on rainfall variability over Southeast Asia. Climate Dynamics, 61(5–6), 2155–2172. https://doi.org/10.1007/S00382-023-06673-2/FIGURES/11
Odongo, M. T., Misati, R. N., Kamau, A. W., & Kisingu, K. N. (2022). Climate Change and Inflation in Eastern and Southern Africa. Sustainability (Switzerland), 14(22). https://doi.org/10.3390/su142214764
Rodysill, J. R., Russell, J. M., Vuille, M., Dee, S., Lunghino, B., & Bijaksana, S. (2019). La Niña-driven flooding in the Indo-Pacific warm pool during the past millennium. Quaternary Science Reviews, 225. https://doi.org/10.1016/j.quascirev.2019.106020
Scaife, A., Guilyardi, E., Cain, M., & Gilbert, A. (2019). What is the El Niño–Southern Oscillation? In Weather (Vol. 74, Issue 7, pp. 250–251). John Wiley and Sons Ltd. https://doi.org/10.1002/wea.3404
Smith, S. C., & Ubilava, D. (2017). The El Niño Southern Oscillation and economic growth in the developing world. Global Environmental Change, 45, 151–164. https://doi.org/10.1016/j.gloenvcha.2017.05.007
Sun, Q., Miao, C., Kouchak, A. A., Mallakpour, I., Ji, D., & Duan, Q. (2020). Possible increased frequency of ENSO-related dry and wet conditions over some major watersheds in a warming climate. Bulletin of the American Meteorological Society, 101(4), E409–E426. https://doi.org/10.1175/BAMS-D-18-0258.1
Thirumalai, K., DInezio, P. N., Okumura, Y., & Deser, C. (2017). Extreme temperatures in Southeast Asia caused by El Niño and worsened by global warming. Nature Communications 2017 8:1, 8(1), 1–8. https://doi.org/10.1038/ncomms15531
Trenberth, K. E. (2013). El Niño Southern Oscillation (ENSO). In Encyclopedia of Ocean Sciences, Third Edition: Volume 1-5 (Vols. 1–5, pp. V6-420-V6-432). Elsevier. https://doi.org/10.1016/B978-0-12-409548-9.04082-3
Ubilava, D. (2016). The Role of El Niño Southern Oscillation in Commodity Price Movement and Predictability. American Journal of Agricultural Economics, 100(1), 239–263.
Varghese, R., Behera, S., & Behera, M. D. (2024). Tropical ocean teleconnections with gross primary productivity of monsoon-Asia. Science of the Total Environment, 938. https://doi.org/10.1016/j.scitotenv.2024.173337
Yu, J.-Y., Wang, X., Yang, S., Paek, H., & Chen, M. (2017). The Changing El Niño–Southern Oscillation and Associated Climate Extremes. In Climate Extremes: Patterns and Mechanisms.
Zouabi, O., & Dimou, M. (2024). The Impact of Climate Change on Inflation in Tunisia: Evidence from The Asymmetric NARDL Model. Environmental Economics and Policy Studies. https://doi.org/10.1007/s10018-024-00398-0
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Panca Rahadi Mulyo, Arini Wahyu Utami, Irham Irham

This work is licensed under a Creative Commons Attribution 4.0 International License.

This work is licensed under a Creative Commons Attribution 4.0 International License.

