Climate change and sugarcane yield at the Tres Valles sugar mill

Authors

  • Fermín Romero-Sandoval Universidad Autónoma Chapingo. Carretera México-Texcoco km 38.5, Chapingo, Texcoco, Estado de México. CP. 56230
  • Miguel Ángel Martínez-Damián Colegio de Posgraduados-Campus Montecillo. Carretera México- Texcoco km 36.5, Montecillos, Texcoco, Estado de México. CP. 56264 https://orcid.org/0000-0002-1215-7406
  • J. Reyes Altamirano-Cárdenas Universidad Autónoma Chapingo. Carretera México-Texcoco km 38.5, Chapingo, Texcoco, Estado de México. CP. 56230. https://orcid.org/0000-0002-9937-7179
  • Ramón Valdivia-Alcalá Universidad Autónoma Chapingo. Carretera México-Texcoco km 38.5, Chapingo, Texcoco, Estado de México. CP. 56230. https://orcid.org/0000-0003-0434-3169

DOI:

https://doi.org/10.29312/remexca.v16i7.3855

Keywords:

climatological normals, distorted prices, Gauss-Markov theorem, sucrose in fresh cane

Abstract

The sugarcane agribusiness is important for food sovereignty in Mexico, but climate change affects its production and yield. This study analyzed how climatic variables and prices impact sucrose yield in fresh cane at the Tres Valles mill, Veracruz, from 1995 to 2022, using a model of two simultaneous equations. The objective was to analyze to what extent climatic variables and respective relevant prices affect the yield of sucrose in cane, expressed in its equivalent of fresh cane, in order to quantify the magnitude of this impact. The results show that thermal oscillation has the greatest positive impact (elasticity of 1.01), whereas solar radiation has the greatest negative impact (elasticity of -2.06). Carbon dioxide emissions have a moderate positive effect (elasticity of 0.78) and precipitation has a smaller positive impact (elasticity of 0.17). The index of prices of cane sugar shows a positive elasticity of 0.96, while the wholesale price of standard sugar has a negative elasticity of -0.2. It was concluded that this type of study provides valuable information on the sensitivity of sucrose yield to climatic and economic factors, useful for mitigating climate change.

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Author Biography

J. Reyes Altamirano-Cárdenas, Universidad Autónoma Chapingo. Carretera México-Texcoco km 38.5, Chapingo, Texcoco, Estado de México. CP. 56230.

El Dr. J Reyes Altamirano Cardenas es Profesor-Investigador en la UACh.

References

Aguilar, R. N.; Galindo, M. G.; Fortanelli, M. J. y Contreras, S. C. 2011. Factores de competitividad de la agroindustria de la caña de azúcar en México. Región y sociedad. 33(52):261-297. https://www.scielo.org.mx/pdf/regsoc/v23n52/v23n52a9.pdf.

Arnell, N. W.; Lowe, J. A.; Challinor, A. J. and Osborn, T. J. 2019. Global and regional impacts of climate change at different levels of global temperature increase. Climatic Change. 155(1):377-391. Doi: https://doi.org/10.1007/s10584-019-02464-z.

Bibi, F. and Rahman, A. 2023. An overview of climate change impacts on agriculture and their mitigation strategies. Agriculture. 13(8):1-15. Doi: https://doi.org/10.3390/agriculture13081508.

BM. 2024. Banco de México. Serie histórica diaria del tipo de cambio peso-dólar. https://www.banxico.org.mx/SieInternet/consultarDirectorioInternetAction.do?sector=6&accion=consultarCuadro&idCuadro=CF373&locale=es.

Byg, A. and Salick, J. 2009. Local perspectives on a global phenomenon. Climate change in eastern Tibetan villages. Global Environmental Change. 19(2):156-166. Doi: https://doi.org/10.1016/j.gloenvcha.2009.01.010.

Cardozo, N. P. and Sentelhas, P. C. 2013. Climatic effects on sugarcane ripening under the influence of cultivars and crop age. Scientia Agricola. 70(6):449-456. https://doi.org/10.1590/S0103-90162013000600011.

Casellas, E.; Bergez, J. E.; Belhouchette, H.; Therond, O.; Adam, M.; Metay, A. and Wery, J. 2009. A methodology for the evaluation and improvement of a generic biophysical soil-plant-atmosphere crop model based on 'mini-application'. Ed. Integrated assessment of agriculture and sustainable development. Setting the Agenda for Science and Polic. Egmond and Zee, The Netherlands. 198-199 pp. https://hal.inrae.fr/hal-02755379v1/file/41721-20110225053142917-2.pdf.

Castro, L. O. R. y Gil, A. 2010. Efecto de la temperatura en la acumulación de azúcar estudio preliminar realizado en ingenio la unión. Centro Guatemalteco de Investigación y Capacitación de la Caña de Azúcar (CENGICAÑA). 3-5 pp. https://cengicana.org/files/20150828053605101.pdf.

Chandio, A. A.; Jiang, Y.; Rehman, A. and Rauf, A. 2020. Short and long-run impacts of climate change on agriculture: an empirical evidence from China. International Journal of Climate Change Strategies and Management. 12(2):201-221. Doi: https://doi.org/10.1108/IJCCSM-05-2019-0026.

Cheavegatti, G. A.; Couto-Abreu, H. M.; Arruda, P.; Bespalhok, F. J. C.; Lee, B. W.; Creste, S.; Ciero, L.; Aparecido, F. J. and Vargas, O. F. A. 2011. Sugarcane (Saccharum X officinarum): a reference study for the regulation of genetically modified cultivars in Brazil. Tropical Plant Biology. 4(1):62-89. Doi: 10.1007/s12042-011-9068-3.

CNIAA. 2024. Cámara Nacional de las Industrias Azucarera y Alcoholera. El manual azucarero mexicano. Compañía Editorial del Manual Azucarero. 187-394 pp. https://www.manualazucarero.com/-files/ugd/fc2095-b4e9661cd898438aadc336a83992d281.pdf.

CONADESUCA. 2010. Comité Nacional para el Desarrollo Sustentable de la Caña de Azúcar. Metodología del precio nacional de azúcar estándar al mayoreo. Definiciones y procedimiento de cálculo del precio de referencia del kilogramo de azúcar base estándar. 1-4 pp. http://conadesuca.gob.mx/politica%20comercial/metodolog%c3%8da%20del%20precio%20nacional%20de%20az%c3%9acar%20est%c3%81ndar%20al%20mayoreo.pdf.

De Souza, R. G.; Buzinaro, C. N. B.; Brunini, M. V. and Prela, P. A. 2015. Influence of El Niño and La Niña on sugarcane yield and sucrose production in northern São Paulo, Brazil. Australian Journal of Crop Science. 9(6):509-516. https://www.cropj.com/moreto-9-6-2015-509-516.pdf.

Everinghama, Y. L.; Muchowb, R. C.; Stonec, R. C.; Inman-Bambera, N. G.; Singelsd, A. and Bezuidenhout, C. N. 2002. Enhanced risk management and decision-making capability across the sugarcane industry value chain based on seasonal climate forecasts. Agricultural Systems. 74(2) 459-477. Doi: 10.1016/s0308-521x(02)00050-1.

FAO. 2024. Food and Agriculture Organization of the United Nations FAO Food Price Index. https://www.fao.org/worldfoodsituation/foodpricesindex/en/.

Gujarati, D. N. and Porter, D. C. 2009. Basic econometrics 5th Ed. McGraw-Hill Irwin. 673-682 pp.

Habib-ur-Rahman, M.; Ahmad, A.; Raza, A.; Hasnain, M. U.; Alharby, H. F.; Alzahrani, Y. M.; Bamagoos, A. A.; Hakeem, K. R.; Ahmad, S.; Nasim, W.; Ali, S.; Mansour, F. and El Sabagh, A. 2022. Impact of climate change on agricultural production. Issues, challenges, and opportunities in Asia. Frontiers in Plant Science. 13(1):01-22. Doi: https://doi.org/10.3389/fpls.2022.925548.

Hair, Jr. J. F.; Black, W. C.; Babin, B. J. and Anderson, R. R. 2019. Multivariate data analysis 8th Ed. Cengage. 795-815 pp.

Inman, M, N. G.; Bonnett, G. D.; Smith, D. M. and Thorburn, P. J. 2005. Sugarcane physiology: integrating from cell to crop to advance sugarcane production. Field Crops Research. 92(2-3):115-366. https://doi.org/10.1016/j.fcr.2005.01.011.

Jones, J. W.; Antle, J. M.; Basso, B.; Boote, K. J.; Conant, R. T.; Foster, I. and Wheeler, T. R. 2017. Brief history of agricultural systems modeling. Agricultural Systems. 155(3):240-254. https://doi.org/10.1016/j.agsy.2016.05.014.

Lacis, A. A.; Schmidt, G. A.; Rind, D. and Ruedy, R. A. 2010. Atmospheric CO2: principal control knobs governing Earth's temperature. Science. 330(6002):356-359. https://doi.org/10.1126/science.1190653.

McNunn, G.; Heaton, E.; Archontoulis, S.; Licht, M. and Loocke, A. V. 2019. Using a crop modeling framework for precision cost-benefit analysis of variable seeding and nitrogen application rates. Frontiers in Sustainable Food Systems. 3(108):1-15. Doi: https://doi.org/10.3389/fsufs.2019.00108.

Morris, T. L.; Schulze, M.; Riethmuller, G. and Angadi, S. V. 2019. Using a crop modeling framework for precision cost-benefit analysis of variable seeding and nitrogen application rates. Frontiers in Sustainable Food Systems. 3(6):1-16. https://doi.org/10.3389/fsufs.2019.00108.

NASA. 2024. National Aeronautics and Space Administration. The prediction of worldwide energy resources project. https://power.larc.nasa.gov/data-access-viewer/.

NOAA. 2024. National Oceanic and Atmospheric Administration. Carbon cycle greenhouse gases. Trends in CO2. https://gml.noaa.gov/ccgg/trends/data.html.

SAS Institute Inc. 2024. El Niño and La Niña years and intensities based on oceanic Niño index (ONI). Golden gate weather services. https://ggweather.com/enso/oni.htm.

Schlenker, W.; Hanemann, W. M. and Fisher, A. C. 2006. The impact of global warming on US. agriculture: an econometric analysis of optimal growing conditions. The Review of Economics and Statistics. 88(1):113-125. Doi: https://doi.org/10.2307/40042963.

Stern, N.; Stiglitz, J. E. and Taylor, C. 2022. The economics of immense risk, urgent action and radical change: towards new approaches to the economics of climate change. Journal of Economic Methodology. 29(3):181-216. Doi: https://doi.org/10.1080/1350178X.2022.2040740.

UNC-CNPR. 2004. Unión Nacional de Cañeros-Confederación Nacional de Propietarios Rurales. Estadísticas de la agroindustria de la caña de azúcar. 15-147 pp.

UNC-CNPR. 2014. Unión Nacional de Cañeros-Confederación Nacional de Propietarios Rurales. Estadísticas de la agroindustria de la caña de azúcar. 37-397 pp.

UNC-CNPR. 2023. Unión Nacional de Cañeros-Confederación Nacional de Propietarios Rurales. Estadísticas de la agroindustria de la caña de azúcar. 42-400 pp.

UNC-CNPR. 2023. Unión Nacional de Cañeros-Confederación Nacional de Propietarios Rurales. Estadísticas de la agroindustria de la caña de azúcar. 48-409 pp.

Wooldridge, J. M. 2016. Introductory econometrics: a modern approach to the 6th Ed. Cengage Learning. 423-439 pp.

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Published

2025-11-13

How to Cite

Romero-Sandoval, Fermín, Miguel Ángel Martínez-Damián, J. Reyes Altamirano-Cárdenas, and Ramón Valdivia-Alcalá. 2025. “Climate Change and Sugarcane Yield at the Tres Valles Sugar Mill”. Revista Mexicana De Ciencias Agrícolas 16 (7). México, ME:e3855. https://doi.org/10.29312/remexca.v16i7.3855.

Issue

Vol. 16 No. 7 (2025)

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