[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/bdr/borrec/1189.html
   My bibliography  Save this paper

Extreme weather events and high Colombian food prices: A non-stationary extreme value approach

Author

Listed:
  • Luis Fernando Melo-Velandia
  • Camilo Andrés Orozco-Vanegas
  • Daniel Parra-Amado
Abstract
Given the importance of climate change and the increase of its severity under extreme weather events, we analyze the main drivers of high food prices in Colombia between 1985 and 2020 focusing on extreme weather shocks like a strong El Niño. We estimate a non-stationary extreme value model for Colombian food prices. Our findings suggest that perishable foods are more exposed to extreme weather conditions in comparison to processed foods. In fact, an extremely low precipitation level explains only high prices in perishable foods. The risk of high perishable food prices is significantly larger for low rainfall levels (dry seasons) compared to high precipitation levels (rainy seasons). This risk gradually results in higher perishable food prices. It is non linear and is also significantly larger than the risk related to changes in the US dollar-Colombian peso exchange rate and fuel prices. Those covariates also explain high prices for both perishable and processed foods. Finally, we find that the events associated with the strongest El Niño in 1988 and 2016 are expected to reoccur once every 50 years. **** RESUMEN: Dada la importancia del cambio climático y su impacto sobre la ocurrencia de eventos climáticos extremos, se analizan los principales determinantes que explican altos precios de alimentos en Colombia entre 1985 y 2020 haciendo énfasis sobre los choques extremos climáticos como por ejemplo un fenómeno de El Niño fuerte. Se estima un modelo no estacionario de valores extremos para los precios de alimentos en Colombia y se encuentra evidencia que sugiere que aquellos bienes perecederos son los más expuestos a las condiciones climáticas en comparación con bienes de alimentos procesados. El riesgo asociado a altos precios de alimentos perecederos es significativamente más elevado para bajos niveles de precipitación (temporadas secas) comparados con altos niveles de precipitación (temporada de lluvias). Este riesgo del clima explica en buena parte los altos precios de perecederos el cual no es lineal. Adicionalmente, el riesgo asociado al factor climático es significativamente más alto a aquellos otros determinantes de altos precios como lo son la tasa de cambio peso-dólar y la dinámica de los precios de combustibles. Estas variables también explican altos precios de los alimentos tanto procesados como perecederos. Finalmente, se encuentra evidencia que sugiere que eventos como El Niño fuerte observados en 1988 y 2016 fueron los más extremos y las estimaciones sugieren que eventos parecidos tienen una re-ocurrencia de una vez cada 50 años.

Suggested Citation

  • Luis Fernando Melo-Velandia & Camilo Andrés Orozco-Vanegas & Daniel Parra-Amado, 2022. "Extreme weather events and high Colombian food prices: A non-stationary extreme value approach," Borradores de Economia 1189, Banco de la Republica de Colombia.
    • Handle: RePEc:bdr:borrec:1189
    DOI: 10.32468/be.1189
    as

    Download full text from publisher

    File URL: https://doi.org/10.32468/be.1189
    Download Restriction: no
    File URL: https://libkey.io/10.32468/be.1189?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. M. Ivette Gomes & Armelle Guillou, 2015. "Extreme Value Theory and Statistics of Univariate Extremes: A Review," International Statistical Review, International Statistical Institute, vol. 83(2), pages 263-292, August.
    2. Jawoo Koo & Abdullah Mamun & Will Martin, 2021. "From bad to worse: Poverty impacts of food availability responses to weather shocks," Agricultural Economics, International Association of Agricultural Economists, vol. 52(5), pages 833-847, September.
    3. Toshichika Iizumi & Jing-Jia Luo & Andrew J. Challinor & Gen Sakurai & Masayuki Yokozawa & Hirofumi Sakuma & Molly E. Brown & Toshio Yamagata, 2014. "Impacts of El Niño Southern Oscillation on the global yields of major crops," Nature Communications, Nature, vol. 5(1), pages 1-7, September.
    4. Sang-Wook Yeh & Jong-Seong Kug & Boris Dewitte & Min-Ho Kwon & Ben P. Kirtman & Fei-Fei Jin, 2009. "El Niño in a changing climate," Nature, Nature, vol. 461(7263), pages 511-514, September.
    5. Allan D. Brunner, 2002. "El Niño and World Primary Commodity Prices: Warm Water or Hot Air?," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 176-183, February.
    6. Germán ROMERO OTALORA & Sioux Fanny MELO LEON & Leidy Cáterin RIVEROS SALCEDO & Andrés Camilo ÁLVAREZ & Carolina DIAZ GIRALDO & Silvia Liliana CALDERON DIAZ, 2017. "Efectos económicos de futuras sequías en Colombia: Estimación a partir del Fenómeno El Nino 2015," Archivos de Economía 15851, Departamento Nacional de Planeación.
    7. Christopher L. Gilbert, 2010. "How to Understand High Food Prices," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(2), pages 398-425, June.
    8. Ubilava, David & holt, Matt, 2013. "El Ni~no southern oscillation and its effects on world vegetable oil prices: assessing asymmetries using smooth transition models," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(2), pages 1-25.
    9. Cashin, Paul & Mohaddes, Kamiar & Raissi, Mehdi, 2017. "Fair weather or foul? The macroeconomic effects of El Niño," Journal of International Economics, Elsevier, vol. 106(C), pages 37-54.
    10. Sephton, Peter S., 2019. "El Niño, La Niña, and a cup of Joe," Energy Economics, Elsevier, vol. 84(C).
    11. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2014. "What Do We Learn from the Weather? The New Climate-Economy Literature," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 740-798, September.
    12. Richard S. J. Tol, 2009. "The Economic Effects of Climate Change," Journal of Economic Perspectives, American Economic Association, vol. 23(2), pages 29-51, Spring.
    13. Rémi Generoso & Cécile Couharde & Olivier Damette & Kamiar Mohaddes, 2020. "The Growth Effects of El Niño and La Niña: Local Weather Conditions Matter," Annals of Economics and Statistics, GENES, issue 140, pages 83-126.
    14. Smith, Sarah C. & Ubilava, David, 2017. "The El Niño Southern Oscillation and Economic Growth in the Developing World," Working Papers 2017-11, University of Sydney, School of Economics, revised May 2017.
    15. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    16. Daniel Parra-Amado & Davinson Stev Abril-Salcedo & Luis Fernando Melo-Velandia, 2016. "Impactos de los fenómenos climáticos sobre el precio de los alimentos en Colombia," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 34(80), pages 146-158, June.
    17. Ubilava, David, 2017. "The ENSO Effect and Asymmetries in Wheat Price Dynamics," World Development, Elsevier, vol. 96(C), pages 490-502.
    18. Acevedo, Sebastian & Mrkaic, Mico & Novta, Natalija & Pugacheva, Evgenia & Topalova, Petia, 2020. "The Effects of Weather Shocks on Economic Activity: What are the Channels of Impact?," Journal of Macroeconomics, Elsevier, vol. 65(C).
    19. Thanarak Laosuthi & David D. Selover, 2007. "Does El Nino Affect Business Cycles," Eastern Economic Journal, Eastern Economic Association, vol. 33(1), pages 21-42, Winter.
    20. David Ubilava, 2012. "El Niño, La Niña, and world coffee price dynamics," Agricultural Economics, International Association of Agricultural Economists, vol. 43(1), pages 17-26, January.
    21. Luis Santos Pereira, 2017. "Water, Agriculture and Food: Challenges and Issues," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(10), pages 2985-2999, August.
    22. Sang-Wook Yeh & Jong-Seong Kug & Boris Dewitte & Min-Ho Kwon & Ben P. Kirtman & Fei-Fei Jin, 2009. "Erratum: El Niño in a changing climate," Nature, Nature, vol. 462(7273), pages 674-674, December.
    23. Taghizadeh-Hesary, Farhad & Rasoulinezhad, Ehsan & Yoshino, Naoyuki, 2019. "Energy and Food Security: Linkages through Price Volatility," Energy Policy, Elsevier, vol. 128(C), pages 796-806.
    24. Stephen Devereux, 2007. "The impact of droughts and floods on food security and policy options to alleviate negative effects," Agricultural Economics, International Association of Agricultural Economists, vol. 37(s1), pages 47-58, December.
    25. Gilleland, Eric & Katz, Richard W., 2016. "extRemes 2.0: An Extreme Value Analysis Package in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 72(i08).
    26. J. Rolf Olsen & James H. Lambert & Yacov Y. Haimes, 1998. "Risk of Extreme Events Under Nonstationary Conditions," Risk Analysis, John Wiley & Sons, vol. 18(4), pages 497-510, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Peter S. Sephton, 2024. "Finite Sample Lag Adjusted Critical Values and Probability Values for the Fourier Wavelet Unit Root Test," Computational Economics, Springer;Society for Computational Economics, vol. 64(2), pages 693-705, August.
    2. Julián Alonso Cárdenas-Cárdenas & Deicy J. Cristiano-Botia & Nicolás Martínez-Cortés, 2023. "Colombian inflation forecast using Long Short-Term Memory approach," Borradores de Economia 1241, Banco de la Republica de Colombia.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Salisu, Afees A. & Gupta, Rangan & Nel, Jacobus & Bouri, Elie, 2022. "The (Asymmetric) effect of El Niño and La Niña on gold and silver prices in a GVAR model," Resources Policy, Elsevier, vol. 78(C).
    2. Davinson Stev Abril‐Salcedo & Luis Fernando Melo‐Velandia & Daniel Parra‐Amado, 2020. "Nonlinear relationship between the weather phenomenon El niño and Colombian food prices," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(4), pages 1059-1086, October.
    3. Atems, Bebonchu & Sardar, Naafey, 2021. "Exploring asymmetries in the effects of El Niño-Southern Oscillation on U.S. food and agricultural stock prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 1-14.
    4. Hernan Botero & Andrew P. Barnes, 2022. "The effect of ENSO on common bean production in Colombia: a time series approach," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(6), pages 1417-1430, December.
    5. Smith, Sarah C. & Ubilava, David, 2017. "The El Niño Southern Oscillation and Economic Growth in the Developing World," Working Papers 2017-11, University of Sydney, School of Economics, revised May 2017.
    6. Zhu, Yichen & Ghoshray, Atanu, 2021. "Climate Anomalies and Its Impact on U.S. Corn and Soybean Prices," 2021 Conference, August 17-31, 2021, Virtual 315271, International Association of Agricultural Economists.
    7. Andrea Bastianin & Alessandro Lanza & Matteo Manera, 2018. "Economic impacts of El Niño southern oscillation: evidence from the Colombian coffee market," Agricultural Economics, International Association of Agricultural Economists, vol. 49(5), pages 623-633, September.
    8. Damette, Olivier & Mathonnat, Clément & Thavard, Julien, 2024. "Climate and sovereign risk: The Latin American experience with strong ENSO events," World Development, Elsevier, vol. 178(C).
    9. Gilles Dufrénot & William Ginn & Marc Pourroy, 2023. "ENSO Climate Patterns on Global Economic Conditions," AMSE Working Papers 2308, Aix-Marseille School of Economics, France.
    10. David Ubilava, 2018. "The Role of El Niño Southern Oscillation in Commodity Price Movement and Predictability," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(1), pages 239-263.
    11. Cashin, Paul & Mohaddes, Kamiar & Raissi, Mehdi, 2017. "Fair weather or foul? The macroeconomic effects of El Niño," Journal of International Economics, Elsevier, vol. 106(C), pages 37-54.
    12. Wei, Yu & Zhang, Jiahao & Chen, Yongfei & Wang, Yizhi, 2022. "The impacts of El Niño-southern oscillation on renewable energy stock markets: Evidence from quantile perspective," Energy, Elsevier, vol. 260(C).
    13. Ventosa-Santaulària, Daniel & Tapia, Edwin & Pérez-Peña, Anna Karina, 2024. "Inflation dynamics under different weather regimes: Evidence from Mexico," Ecological Economics, Elsevier, vol. 220(C).
    14. Ubilava, David, 2017. "The ENSO Effect and Asymmetries in Wheat Price Dynamics," World Development, Elsevier, vol. 96(C), pages 490-502.
    15. Checo, Ariadne & Mejía, Mariam & Ramírez, Francisco A., 2017. "El rol de los regímenes de precipitaciones sobre la dinámica de precios y actividad del sector agropecuario de la República Dominicana durante el período 2000-2016 [The role of rainfall regimes on ," MPRA Paper 80301, University Library of Munich, Germany.
    16. César Salazar & Andrés Acuña‐Duarte & José Maria Gil, 2023. "Drought shocks and price adjustments in local food markets in Chile: Do product quality and marketing channel matter?," Agricultural Economics, International Association of Agricultural Economists, vol. 54(3), pages 349-363, May.
    17. Cécile Couharde & Rémi Generoso & Olivier Damette & Kamiar Mohaddes, 2019. "Reexamining the growth effects of ENSO: the role of local weather conditions," Working Papers hal-04141873, HAL.
    18. Rémi Generoso & Cécile Couharde & Olivier Damette & Kamiar Mohaddes, 2020. "The Growth Effects of El Niño and La Niña: Local Weather Conditions Matter," Annals of Economics and Statistics, GENES, issue 140, pages 83-126.
    19. Matteo Bonato & Oğuzhan Çepni & Rangan Gupta & Christian Pierdzioch, 2023. "El Niño, La Niña, and forecastability of the realized variance of agricultural commodity prices: Evidence from a machine learning approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 785-801, July.
    20. Mohammad Reza Yeganegi & Hossein Hassani & Rangan Gupta, 2023. "The ENSO cycle and forecastability of global inflation and output growth: Evidence from standard and mixed‐frequency multivariate singular spectrum analyses," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1690-1707, November.

    More about this item

    Keywords

    Extreme weather events; Extreme value theory; Food inflation; Return levels; Relative Risk ratio; Eventos climáticos extremos; Teoría de valor extremo (EVT); precios de alimentos; niveles de riesgo; razones de riesgo relativo;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bdr:borrec:1189. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Clorith Angélica Bahos Olivera (email available below). General contact details of provider: https://edirc.repec.org/data/brcgvco.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.