Response of the Relative Wheat Acreage (Triticum aestivum) to Changes in Relative Wheat Prices in Bolivia
DOI:
https://doi.org/10.71068/SMJ00101Keywords:
pricing policy, relative hectareage wheat to corn, impulse response function, relative price wheat to corn, Autoregressive VectorsAbstract
Despite a favorable princing policy for wheat, the relative wheat-to-corn acreage remained below one throughout the analysis period, indicating that producers prefer corn. It is important to analyze how de relative wheat-to-corn acreage responds to the pricing policies implemented in Bolivia. To evaluate this response, the impulse response function of a VAR model was estimated. The results show that, in Santa Cruz, in the short and long term, a one-standard-error increase in relative wheat-to-corn prices has no effect; in the medium term, is has an eventually positive affect, that converges to a steady state. In contrast, in the western region, in the short term, a one-standard-error increase in relative wheat-to-corn prices has no effect on the response of relative wheat-to-corn acreage; an eventually positive effect in the medium term; and neutral in the long term, which also converges to a steady state. Therefore, a pro-wheat princig policy is insufficient to increase relative wheat-to-corn acreage and generate structural changes in the national wheat supply. Our model will serve as a starting point for developing more sophisticated models to analyze the response of wheat supply to variations in the producer price of the grain in Bolivia
References
Abu, O., Olaide, R. A., & Odu, O. V. A. (2015). Acreage response of soybeans to price in nigeria. European Journal of Physical And Agricultural Sciences, 3(1), 22–31. https://www.idpublications.org/wp-content/uploads/2015/01/ACREAGE-RESPONSE-OF-SOYBEANS-TO-PRICE-IN-NIGERIA-Full-paper.pdf
Alemu, Z. G., Oosthuisen, K., & Schalkwyk, H. D. (2003). GRAIN-SUPPLY RESPONSE IN ETHIOPIA: AN ERROR- CORRECTION APPROACH. AgEcon Search, 42(4), 1–26. https://www.researchgate.net/publication/23772537_Grain-supply_response_in_Ethiopia_An_error-correction_approach
Anapo en Cifras Histórico de Cultivos (p. 9). (2008). https://anapobolivia.org/images/publicacion_documentos/anapo-cifras-23.pdf
Anwarul, H. A. S. M., Mohamed, A. F., & Nurul, I. G. (2013). Supply response of wheat in Bangladesh: Cointegration and vector error correction analysis. African Journal of Agricultural Research, 8(44), 5440–5446. https://doi.org/10.5897/AJAR10.375
Awokuse, T. O. (2005). Impact of macroeconomic policies on agricultural prices. Agricultural and Resource Economics Review, 34(2), 226–237. https://doi.org/10.1017/S1068280500008388
Bailey, K. W., & Womack, A. W. (1985). Wheat acreage response: a regional econometric investigation. Southern Journal of Agricultural Economics, 17(2), 171–180. https://www.cambridge.org/core/journals/journal-of-agricultural-and-applied-economics/article/abs/wheat-acreage-response-investigation-a-regional-econometric-investigation/237AB29A423D29942C2AB167FF442929
Bhandari, T. (2023). Assessment of Government Policies, Farm Subsidies, and Agriculture Growth. State, Society and Development: PMPD Perspectives, 1, 125–136. https://doi.org/10.3126/ssd.v1i1.58475
Bharati, S., Bhandari, T., Panta, H. K., & Thapa, B. (2024). Understanding Allocation and Farmers’ Access to Varied Level of Agricultural Input Subsidies from Different Tiers of Government: A Case Study in Kavrepalanchowk District, Nepal. Agriculture Development Journal, 23–36. https://doi.org/10.3126/adj.v17i1.66445
Cancino, S. E., Cancino-Escalante, G. O., & Cancino-Ricketts, D. F. (2022). Aplicación del método de vectores autorregresivos para estimar la oferta de huevos en Colombia. Eco Matemático, 13(2), 18–28. https://doi.org/10.22463/17948231.3490
Chuquimia, V. H. (2022). Dependencia alimentaria de Bolivia, en trigo. Cienciagro, 12(1), 1–11. www.institutoagrario.org/cienciagro
Culas, R., & Prasad, T. K. (2019). LAND USE AND PROFITABILITY IN WHEAT PRODUCTION: THE AUSTRALIAN WHEAT-SHEEP ZONE. International Journal of Food and Agricultural Economics, 7(2), 107–126. https://scholar.google.com.bo/scholar?q=LAND+USE+AND+PROFITABILITY+IN+WHEAT+PRODUCTION:+THE+AUSTRALIAN+WHEAT-SHEEP+ZONE+Richard&hl=es&as_sdt=0&as_vis=1&oi=scholart
Elobeid, A., & Tokgoz, S. (2008). Removing distortions in the U.S. ethanol market: What does It imply for the United States and Brazil? American Journal of Agricultural Economics, 90(4), 918–932. https://doi.org/10.1111/j.1467-8276.2008.01158.x
EMAPA. (2021). Programa multsectorial de fomento a la producción de trigo.
Endalew, B., Aynalem, M., Assefa, F., & Ayalew, Z. (2020). Determinants of Wheat Commercialization among Smallholder Farmers in Debre Elias Woreda, Ethiopia. Advances in Agriculture, 2020. https://doi.org/10.1155/2020/2195823
Endricks, N. P. H., Smith, A., & Sumner, D. A. (2014). Crop supply dynamics and the illusion of partial adjustment. American Journal of Agricultural Economics, 96(5), 1469–1491. https://doi.org/10.1093/ajae/aau024
FAO. (2024). Estadísticas de la FAO. https://www.fao.org/faostat/es/#home
Food and Agriculture Organization of the United Nations. (1995). Macroeconomía y políticas agrícolas. Una guía metodológica (FAO (Ed.); Primera).
Gomez, E. D., & Gardner, B. D. (1976). THE ECONOMICS OF BOLIVIAN SELF- SUFFICIENCY IN WHEAT PRODUCTION. Southern Journal of Agricultural Economics, 8(1), 79–84. https://ideas.repec.org/a/cup/jagaec/v8y1976i01p79-84_01.html
Goodwin, B. K., & Schroeder, T. C. (1991). Price Dynamics in International Wheat Markets. Canadian Journal of Agricultural Economics/Revue Canadienne d’agroeconomie, 39(2), 237–254. https://doi.org/10.1111/j.1744-7976.1991.tb03570.x
Guzmán Plata, M. de L. P., & García Alba Iduñate, P. (2008). EL MODELO VAR Y SUS PRINCIPALES PROBLEMAS. Panorama Económico, 3(6), 95–117. https://www.researchgate.net/publication/322487736_EL_MODELO_VAR_Y_SUS_PRINCIPALES_PROBLEMAS
Habte, Z., Legesse, B., Haji, J., & Jaleta, M. (2020). Determinants of Supply in the Wheat Value Chain of Ethiopia. Eastern Africa Social Science Research Review, 36(1), 37–61. https://doi.org/10.1353/eas.2020.0002
Haile, M. G., & Kalkuhl, M. (2013). Agricultural supply response to international food prices and price volatility: a cross- country panel analysis. In AgEcon Search. file:///C:/Users/User1/Downloads/AAEA_2013 Paper.pdf
Instituto Nacional de Estadísticas de Honduras. (2019). Boletín estadistico sobre el trigo 2015 - 2019. https://www.ine.gob.hn/V3/imag-doc/2020/08/BOLETIN-DE-TRIGO-2019-1.pdf
Irarrazaval, E. R. (1979). RESPUESTAS A PRECIOS DEL HECTAREAJE, LA PRODUCCION Y LOS RENDIMIENTOS DE TRIGO Y MAIZ EN CHILE. Ciencia e Investigación Agraria, 6(2), 135–149. https://revistaschilenas.uchile.cl/handle/2250/156451
Kaya, M. (2018). Türkiye Buğday Piyasasında Toprak Mahsulleri Ofisi Alımlarının Ekonometrik Analizi. Ekonomik Yaklaşım, 29(106), 73–111. https://www.researchgate.net/publication/369660423_Turkiye%27de_bugday_piyasasi_TMO_alimlarinin_ekonometrik_analizi
Lanteri, L. (2009). Respuesta a precios del área sembrada de soja en la Argentina. http://hdl.handle.net/10419/86137%0AStandard-Nutzungsbedingungen:
Mamingi, N. (1997). The impact of prices and macroeconomic policies on agricultural supply: a synthesis of available results. Agricultural Economics, 16(1), 17–34. https://doi.org/10.1111/j.1574-0862.1997.tb00438.x
Mohammad, S., Javed, M. S., Ahmad, B., & Mushtaq, K. (2007). Price and Non-Price Factors Affecting Acreage Response of Wheat in Different Agro-Ecological Zones in Punjab : a Co-Integration Analysis. Pak. J. Agri. Sci., 44(2), 370–377. https://www.google.com/search?q=PRICE+AND+NON-PRICE+FACTORS+AFFECTING+ACREAGE+RESPONSE+OF+WHEAT+IN+DIFFERENT+AGRO-ECOLOGICAL+ZONES+IN+PUNJAB%3A+A+CO-INTEGRATION+ANALYSIS&oq=PRICE+AND+NON-PRICE+FACTORS+AFFECTING+ACREAGE+RESPONSE+OF+WHEAT+IN+DIFFERENT+AGRO-
Mushtaq, K., & Dawson, P. J. (2002). Acreage response in Pakistan: a co-integration approach. Agricultural Economics, 27(2), 111–121. https://www.sciencedirect.com/science/article/abs/pii/S0169515002000312
Novales, A. (2017). Modelos vectoriales autoregresivos (VAR). In Universidad Complutense de Madrid (p. 58). https://www.ucm.es/data/cont/media/www/pag-41459/VAR.pdf
Prudencio, B. J. (1990). La inseguridad alimentaria en Bolivia: El caso del trigo. http://julioprudencio.com/wp-content/uploads/2018/08/La-inseguridad-alimentaria-en-Bolivia-El-caso-del-trigo-1990.pdf
Rahman, S. U., Rahman, Z. U., Atta, A., & Afzal, F. (2022). AN IMPLICATION OF IMPULSE RESPONSE FUNCTION IN THE PERSPECTIVE OF GREEN REVOLUTION, CREDIT DISBURSEMENT AND FOSSIL FUEL UTILIZATION IN PAKISTAN. 4(2), 58–64. https://www.scienceimpactpub.com/journals/index.php/jei/article/view/290
Rodriguez, A. G. A. (2023). Producir mas trigo está en nuestras manos. https://ibce.org.bo/publicaciones-descarga-columna.php?id=328
Shafique, M., Hussain, J. Z., & Maqbool, S. (2007). Supply Response of Wheat Crop in Punjab, Pakistan. European Journal of Scientific Research, 18(1), 64–78. https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=79b6dcebbe02fc49fa2f5adcd7b2a55c0555c317#page=64
Shakoor, U., Rashid, M., Saboor, A., Khurshid, N., Husnain, Z., & Rehman, A. (2017). Maize Production Response to Climate Change in Pakistan: A Time Series Assessment. Sarhad Journal of Agriculture, 33(2), 320–330. https://doi.org/10.17582/journal.sja/2017/33.2.320.330
Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1. https://doi.org/10.2307/1912017
Sims, C. A., & Weber, W. E. (1985). Are Forecasting Models Usable for Policy Analysis? Federal Reserve Bank of Minneapolis Quarterly Review, 10(1), 2–16. https://www.minneapolisfed.org/research/quarterly-review/are-forecasting-models-usable-for-policy-analysis
Tadesse, G., Algieri, B., Kalkuhl, M., & von Braun, J. (2014). Drivers and triggers of international food price spikes and volatility. Food Policy, 47, 117–128. https://doi.org/10.1016/j.foodpol.2013.08.014
Trujillo Calagua, G. (2010). La Metodología del Vector Autorregresivo: Presentación y Algunas Aplicaciones. UCV - Scientia, 2(2), 103–108. file:///D:/Downloads/Dialnet-LaMetodologiaDelVectorAutorregresivo-6181495.pdf
Vera-Ninacondor, C. P., Cusihuamán-Sisa, G. N., Alarcón-Condori, J. G., & Aguilar-Del-Carpio, C. I. (2023). Elasticidad en el comportamiento del productor, según oferta de arroz en Perú. TECHNO REVIEW. International Technology, Science and Society Review /Revista Internacional de Tecnología, Ciencia y Sociedad, 15(1), 91–105. https://doi.org/10.37467/revtechno.v15.5066
Weersink, A., Cabas, J. H., & Olale, E. (2010). Acreage response to weather, yield, and price. Canadian Journal of Agricultural Economics, 58(1), 57–72. https://doi.org/10.1111/j.1744-7976.2009.01173.x
Zhang, S., Wu, B., Chen, R., Liang, J., Khan, N., & Ray, R. L. (2023). Government Intervention on Cooperative Development in Poor Areas of Rural China: A Case Study of XM Beekeeping Cooperative in Sichuan. Land, 12(4), 15. https://doi.org/10.3390/land12040731
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Humberto Chuquimia Vargas, Jaime Arturo Matus Gardea (Autor/a)

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


