Factores que influyen en la adopción de prácticas sostenibles en el cultivo del arroz: El caso de Costa Rica
DOI:
https://doi.org/10.15517/am.2024.56879Palabras clave:
adopción de tecnología, prácticas agrícolas, adopción de medidas de defensa contra el cambio climático, agricultura sostenibleResumen
Introducción. Las prácticas sostenibles son importantes como herramientas de mitigación y adaptación al cambio climático, por lo que es oportuno comprender que factores influencian las decisiones de las personas productoras del cultivo de arroz en adoptar una práctica de conservación en su sistema de producción. Objetivo. Determinar las relaciones causales entre las variables que permiten entender la adopción de prácticas de conservación en el cultivo del arroz por parte de las personas productoras. Materiales y métodos. Entre julio y septiembre del 2021 se realizó un estudio en los sistemas productivos de arroz en Costa Rica con personas productoras de las regiones productoras de arroz en Costa Rica: Brunca, Chorotega, Huetar y Pacífico Central, a través de un muestreo por cuotas. Se aplicó una encuesta a un total de 67 personas productoras de arroz. La investigación realizada fue cuantitativa identificando grados de adopción de prácticas de conservación, agrupaciones mediante clústeres y se utilizó un modelo probit ordenado para analizar los factores que influyen en la intensidad de adopción de tecnologías o prácticas de conservación en estos sistemas productivos. Resultados. Una mayor adopción de prácticas de conservación en los sistemas productivos del cultivo de arroz está influenciada por el nivel de escolaridad de la persona productora, la pertenencia o afiliación a organizaciones del sector arrocero y la tenencia de la tierra. Conclusiones. Esta investigación destaca que, el diseño de estrategias de prácticas de conservación en el cultivo del arroz se beneficia de una mejor comprensión de las relaciones entre las variables socioeconómicas, productivas y del entorno, que permitan aumentar la probabilidad de que una persona productora implemente y mantenga en el tiempo el uso de estas prácticas de conservación.
Descargas
Citas
Abdulai, S., Zakariah, A., & Donkoh, S. A. (2018). Adoption of rice cultivation technologies and its effect on technical efficiency in Sagnarigu District of Ghana. Cogent Food and Agriculture, 4(1), 1–15. https://doi.org/10.1080/23311932.2018.1424296
Alam, M. K., Bell, R. W., & Biswas, W. K. (2019). Increases in soil sequestered carbon under conservation agriculture cropping decrease the estimated greenhouse gas emissions of wetland rice using life cycle assessment. Journal of Cleaner Production, 224, 72–87. https://doi.org/10.1016/j.jclepro.2019.03.215
Alarcón, R., Hernández-Plaza, E., Navarrete, L., Sánchez, M. J., Escudero, A., Hernanz, J. L., Sánchez-Giron, V., & Sánchez, A. M. (2018). Effects of no-tillage and non-inversion tillage on weed community diversity and crop yield over nine years in a Mediterranean cereal-legume cropland. Soil and Tillage Research, 179, 54–62. https://doi.org/10.1016/j.still.2018.01.014
Alauddin, M., & Sarker, M. A. R. (2014). Climate change and farm-level adaptation decisions and strategies in drought-prone and groundwater-depleted areas of Bangladesh: An empirical investigation. Ecological Economics, 106, 204–213. https://doi.org/10.1016/j.ecolecon.2014.07.025
Ali, H., Menza, M., Hagos, F., & Haileslassie, A. (2022). Impact of climate-smart agriculture adoption on food security and multidimensional poverty of rural farm household in the Central Rift Valley of Ethiopia. Agriculture & Food Security, 11(62), 1–16. https://doi.org/https://doi.org/10.1186/s40066-022-00401-5
Apraku, A., Morton, J. F., & Apraku Gyampoh, B. (2021). Climate change and small-scale agriculture in Africa: Does indigenous knowledge matter? Insights from Kenya and South Africa. Scientific African, 12. https://doi.org/10.1016/j.sciaf.2021.e00821
Aryal, J. P., Jat, M. L., Sapkota, T. B., Khatri-Chhetri, A., Kassie, M., Rahut, D. B., & Maharjan, S. (2018). Adoption of multiple climate-smart agricultural practices in the Gangetic plains of Bihar, India. International Journal of Climate Change Strategies and Management, 10(3), 407–427. https://doi.org/10.1108/IJCCSM-02-2017-0025
Aseres, M. E., Liu, A., & Mwalupaso, G. E. (2019). Adoption of sustainable intensification practices and its effect on smallholders’ food security in Ethiopia. Applied Ecology and Environmental Research, 17(3), 6681–6700. https://doi.org/10.15666/aeer/1703_66816700
Awotide, B. A., Karimov, A. A., & Diagne, A. (2016). Agricultural technology adoption, commercialization and smallholder rice farmers’ welfare in rural Nigeria. Agricultural and Food Economics, 4(1), 1–24. https://doi.org/10.1186/s40100-016-0047-8
Belay, A., Recha, J. W., Woldeamanuel, T., & Morton, J. F. (2017). Smallholder farmers’ adaptation to climate change and determinants of their adaptation decisions in the Central Rift Valley of Ethiopia. Agriculture and Food Security, 6(24), 1–13. https://doi.org/10.1186/s40066-017-0100-1
Benitez-Altuna, F., Trienekens, J., Materia, V. C., & Bijman, J. (2021). Factors affecting the adoption of ecological intensification practices: A case study in vegetable production in Chile. Agricultural Systems, 194, 1–13. https://doi.org/10.1016/j.agsy.2021.103283
Bongiorno, G., Bünemann, E. K., Oguejiofor, C. U., Meier, J., Gort, G., Comans, R., Mäder, P., Brussaard, L., & de Goede, R. (2019). Sensitivity of labile carbon fractions to tillage and organic matter management and their potential as comprehensive soil quality indicators across pedoclimatic conditions in Europe. Ecological Indicators, 99, 38–50. https://doi.org/10.1016/j.ecolind.2018.12.008
Bopp, C., Engler, A., Poortvliet, P. M., & Jara-Rojas, R. (2019). The role of farmers’ intrinsic motivation in the effectiveness of policy incentives to promote sustainable agricultural practices. Journal of Environmental Management, 244, 320–327. https://doi.org/10.1016/j.jenvman.2019.04.107
Brant, R. (1990). Assessing proportionality in the proportional odds model for ordinal logistic regression. Biometrics, 46(4), 1171–1178. https://doi.org/10.2307/2532457
Carlisle, L. (2016). Factors influencing farmer adoption of soil health practices in the United States: a narrative review. Agroecology and Sustainable Food Systems, 40(6), 583–613. https://doi.org/10.1080/21683565.2016.1156596
Chen, Z.-D., & Chen, F. (2022). Socio-economic factors influencing the adoption of low carbon technologies under rice production systems in China. Carbon Balance and Management, 17(19), 1–15. https://doi.org/10.1186/s13021-022-00218-6
Chenu, C., Angers, D. A., Barré, P., Derrien, D., Arrouays, D., & Balesdent, J. (2019). Increasing organic stocks in agricultural soils: Knowledge gaps and potential innovations. Soil and Tillage Research, 188, 41–52. https://doi.org/10.1016/j.still.2018.04.011
Corporación Arrocera Nacional. (2022). Informe anual estadístico 2020-2021. https://www.conarroz.com/userfile/file/Informe_anual_estad%C3%ADstico2020-2021.pdf
Cramér, H. (1999). Mathematical methods of statistics (Vol. 9). Princeton University Press. https://press.princeton.edu/books/paperback/9780691005478/mathematical-methods-of-statistics-pms-9-volume-9
Daloǧlu, I., Nassauer, J. I., Riolo, R. L., & Scavia, D. (2014). Development of a farmer typology of agricultural conservation behavior in the american corn belt. Agricultural Systems, 129, 93–102. https://doi.org/10.1016/j.agsy.2014.05.007
Delaroche, M. (2020). Adoption of conservation practices: what have we learned from two decades of social-psychological approaches? Current Opinion in Environmental Sustainability, 45, 25–35. https://doi.org/10.1016/j.cosust.2020.08.004
Donkoh, S. A., Azumah, S. B., & Awuni, J. A. (2019). Adoption of improved agricultural technologies among rice farmers in Ghana: a multivariate probit approach. Ghana Journal of Development Studies, 16(1), 46–67. https://doi.org/10.4314/gjds.v16i1.3
Etsay, H., Negash, T., & Aregay, M. (2019). Factors that influence the implementation of sustainable land management practices by rural households in Tigrai region, Ethiopia. Ecological Processes, 8(1), 1–16. https://doi.org/10.1186/s13717-019-0166-8
Fagerland, M. W., & Hosmer, D. W. (2016). Tests for goodness of fit in ordinal logistic regression models. Journal of Statistical Computation and Simulation, 86(17), 3398–3418. https://doi.org/10.1080/00949655.2016.1156682
Foguesatto, C. R., Borges, J. A. R., & Machado, J. A. D. (2020). A review and some reflections on farmers’ adoption of sustainable agricultural practices worldwide. Science of the Total Environment, 729, 1–7. https://doi.org/10.1016/j.scitotenv.2020.138831
Hosmer, D. W., & Lemeshow, S. (2000). Applied logistic regression (2nd ed). John Wiley & Sons. https://doi.org/10.1002/0471722146
Jambo, I. J., Groot, J. C. J., Descheemaeker, K., Bekunda, M., & Tittonell, P. (2019). Motivations for the use of sustainable intensification practices among smallholder farmers in Tanzania and Malawi. NJAS - Wageningen Journal of Life Sciences, 89(May), 1–10. https://doi.org/10.1016/j.njas.2019.100306
Janssen, E., & Swinnen, J. (2019). Technology adoption and value chains in developing countries: Evidence from dairy in India. Food Policy, 83, 327–336. https://doi.org/10.1016/j.foodpol.2017.08.005
Joao, A. R. B., Luzardo, F., & Vanderson, T. X. (2015). An interdisciplinary framework to study farmers decisions on adoption of innovation: Insights from Expected Utility Theory and Theory of Planned Behavior. African Journal of Agricultural Research, 10(29), 2814–2825. https://doi.org/10.5897/ajar2015.9650
Kassie, M., Jaleta, M., Shiferaw, B., Mmbando, F., & Mekuria, M. (2013). Adoption of interrelated sustainable agricultural practices in smallholder systems: Evidence from rural Tanzania. Technological Forecasting and Social Change, 80(3), 525–540. https://doi.org/10.1016/j.techfore.2012.08.007
Kruskal, W. H., & Wallis, W. A. (1952). Use of Ranks in One-Criterion Variance Analysis. Journal of the American Statistical Association, 47(260), 583–621. https://doi.org/10.1080/01621459.1952.10483441
Kumar, N., Chhokar, R. S., Meena, R. P., Kharub, A. S., Gill, S. C., Tripathi, S. C., Gupta, O. P., Mangrauthia, S. K., Sundaram, R. M., Sawant, C. P., Gupta, A., Naorem, A., Kumar, M., & Singh, G. P. (2021). Challenges and opportunities in productivity and sustainability of rice cultivation system: a critical review in Indian perspective. Cereal Research Communications, 50, 573–601. https://doi.org/10.1007/s42976-021-00214-5
Kumar, S., Singh, D. R., Singh, A., Singh, N. P., & Jha, G. K. (2020). Does adoption of soil and water conservation practice enhance productivity and reduce risk exposure? Empirical evidence from semi-arid tropics (SAT), India. Sustainability, 12(17). https://doi.org/10.3390/SU12176965
Li, Q., Zeng, F., Mei, H., Li, T., & Li, D. (2019). Roles of motivation, opportunity, ability, and trust in the willingness of farmers to adopt green fertilization techniques. Sustainability (Switzerland), 11(24). https://doi.org/10.3390/su11246902
Lipsitz, S. R., Fitzmaurice, G. M., & Molenberghs, G. (1996). Goodness-of-fit tests for ordinal response regression models. Journal of the Royal Statistical Society. Series C: Applied Statistics, 45(2), 175–190. https://doi.org/10.2307/2986153
Lu, J., Ranjan, P., Floress, K., Arbuckle, J. G., Church, S. P., Eanes, F. R., Gao, Y., Gramig, B. M., Singh, A. S., & Prokopy, L. S. (2022). A meta-analysis of agricultural conservation intentions, behaviors, and practices: Insights from 35 years of quantitative literature in the United States. Journal of Environmental Management, 323. https://doi.org/10.1016/j.jenvman.2022.116240
Lu, Q., Song, Y. F., Pan, K. Q., Li, Y., Tang, M. X., Zhong, G. H., & Liu, J. (2022). Improved crop protection and biodiversity of the agroecosystem by reduced tillage in rice paddy fields in southern China. Journal of Integrative Agriculture, 21(8), 2345–2356. https://doi.org/10.1016/S2095-3119(21)63802-9
MacQueen, J. (1967). Some methods for classification and analysis of multivariate observations. Proceedings of the 5th Berkeley Symposium on Mathematical Statistic and Probability, 281–297. https://digitalassets.lib.berkeley.edu/math/ucb/text/math_s5_v1_article-17.pdf
Marie, M., Yirga, F., Haile, M., & Tquabo, F. (2020). Farmers´choices and factors affecting adoption of climate change adaptation strategies: evidence from northwestern Ethiopia. Heliyon, 6. https://doi.org/https://doi.org/10.1016/j.heliyon.2020.c03867
Miah, M. A. M., Bell, R. W., Haque, E., Rahman, M. W., Sarkar, M. A. R., & Rashid, M. A. (2023). Conservation agriculture practices improve crop productivity and farm profitability when adopted by Bangladeshi smallholders in the Eastern Gangetic Plain. Outlook on Agriculture, 52(1), 11-21. https://doi.org/10.1177/00307270221150830
Mugumaarhahama, Y., Mondo, J. M., Cokola, M. C., Ndjadi, S. S., Mutwedu, V. B., Kazamwali, L. M., Cirezi, N. C., Chuma, G. B., Ndeko, A. B., Ayagirwe, R. B. B., Civava, R., Karume, K., & Mushagalusa, G. N. (2021). Socio-economic drivers of improved sweet potato varieties adoption among smallholder farmers in South-Kivu Province, DR Congo. Scientific African, 12. https://doi.org/10.1016/j.sciaf.2021.e00818
Organización de las Naciones Unidas para la Alimentación y la Agricultura. (2023). Perspectivas de cosechas y situación alimentaria #2, julio 2023. FAO. https://doi.org/10.4060/cc6806es
Oyetunde-Usman, Z., Olagunju, K. O., & Ogunpaimo, O. R. (2021). Determinants of adoption of multiple sustainable agricultural practices among smallholder farmers in Nigeria. International Soil and Water Conservation Research, 9(2), 241–248. https://doi.org/10.1016/j.iswcr.2020.10.007
Pearson, K. (1900). X. On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 50(302), 157–175. https://doi.org/10.1080/14786440009463897
Prokopy, L. S., Floress, K., Arbuckle, J. G., Church, S. P., Eanes, F. R., Gao, Y., Gramig, B. M., Ranjan, P., & Singh, A. S. (2019). Adoption of agricultural conservation practices in the United States: Evidence from 35 years of quantitative literature. Journal of Soil and Water Conservation, 74(5), 520–534. https://doi.org/10.2489/jswc.74.5.520
Pulkstenis, E., & Robinson, T. J. (2004). Goodness-of-fit tests for ordinal response regression models. Statistics in Medicine, 23(6), 999–1014. https://doi.org/10.1002/sim.1659
Ranjan, P., Arbuckle, J. G., Church, S. P., Eanes, F. R., Floress, K., Gao, Y., Gramig, B. M., Singh, A. S., & Prokopy, L. S. (2022). Understanding the relationship between land tenure and conservation behavior: Recommendations for social science research. Land Use Policy, 120. https://doi.org/10.1016/j.landusepol.2022.106161
R Core Team. (2022). R: A language and environment for statistical computing (4.2.1). R Foundation for Statistical Computing. https://www.R-project.org/
Siyum, N., Giziew, A., & Abebe, A. (2022). Factors influencing adoption of improved bread wheat technologies in Ethiopia: empirical evidence from Meket district. Heliyon, 8(2). https://doi.org/10.1016/j.heliyon.2022.e08876
Sunny, F. A., Fu, L., Rahman, M. S., Karimanzira, T. T. P., & Zuhui, H. (2022). What influences Bangladeshi Boro rice farmers’ adoption decisions of recommended fertilizer doses: A case study on Dinajpur district. PLOS ONE, 17(6). https://doi.org/10.1371/journal.pone.0269611
Syakur, M. A., Khotimah, B. K., Rochman, E. M. S., & Satoto, B. D. (2018). Integration K-Means clustering method and elbow method for identification of the best customer profile cluster. IOP Conference Series: Materials Science and Engineering, 336. https://doi.org/10.1088/1757-899X/336/1/012017
Thompson, N. M., Bir, C., Widmar, D. A., & Mintert, J. R. (2019). Farmer perceptions of precision agriculture technology benefits. Journal of Agricultural and Applied Economics, 51(1), 142–163. https://doi.org/10.1017/aae.2018.27
Thorndike, R. L. (1953). Who belongs in the family? Psychometrika, 18(4), 267–276. https://doi.org/10.1007/BF02289263
Wainaina, P., Tongruksawattana, S., & Qaim, M. (2016). Tradeoffs and complementarities in the adoption of improved seeds, fertilizer, and natural resource management technologies in Kenya. Agricultural Economics (United Kingdom), 47(3), 351–362. https://doi.org/10.1111/agec.12235
Wilcoxon, F. (1945). Individual comparisons by ranking methods. Biometrics Bulletin, 1(6), 80–83. https://doi.org/10.2307/3001968
Zeng, Y., Tian, Y., He, K., & Zhang, J. (2020). Environmental conscience, external incentives and social norms in rice farmers’ adoption of pro-environmental agricultural practices in rural Hubei province, China. Environmental Technology, 41(19), 2518–2532. https://doi.org/10.1080/09593330.2019.1574907
Descargas
Publicado
Cómo citar
Número
Sección
Licencia
Derechos de autor 2024 Luz Barrantes-Aguilar, David Gómez-Castillo, Vanessa Villalobos-Ramos, Rodrigo Valdés-Salazar
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.
1. Política propuesta para revistas de acceso abierto
Los autores/as que publiquen en esta revista aceptan las siguientes condiciones:
- Los autores/as conservan los derechos morales de autor y ceden a la revista el derecho de la primera publicación, con el trabajo registrado con la licencia de atribución, no comercial y sin obra derivada de Creative Commons, que permite a terceros utilizar lo publicado siempre que mencionen la autoría del trabajo y a la primera publicación en esta revista, no se puede hacer uso de la obra con propósitos comerciales y no se puede utilizar las publicaciones para remezclar, transformar o crear otra obra.
- Los autores/as pueden realizar otros acuerdos contractuales independientes y adicionales para la distribución no exclusiva de la versión del artículo publicado en esta revista (p. ej., incluirlo en un repositorio institucional o publicarlo en un libro) siempre que indiquen claramente que el trabajo se publicó por primera vez en esta revista.
- Se permite y recomienda a los autores/as a publicar su trabajo en Internet (por ejemplo en páginas institucionales o personales) antes y durante el proceso de revisión y publicación, ya que puede conducir a intercambios productivos y a una mayor y más rápida difusión del trabajo publicado (vea The Effect of Open Access).
