Factors that influence the operation and communication of governmental support programs among small-scale bovine dairy farmers in central Mexico

Guillermo Gomez-Espinoza, Dalia Andrea Plata-Reyes, Carlos Manuel Arriaga-Jordan, Adolfo Armando Rayas-Amador, Carlos Galdino Martínez García

Abstract


Background: Social networks that comprise farmers, institutions, researchers, and outreach services are strategic for rural development. It is necessary to identify factors that promote or restrict the participation of small-scale dairy farmers in governmental support programs and their dynamics in the social network in the communication and dissemination of information. Objective: To identity factors that influence the operation and communication of governmental support programs among small-scale dairy farmers. Methodology: A questionnaire was applied to 213 farmers. For identifying differences between farmers who receive governmental supports (Group 1, n=93) and those who do not (Group 2, n=120), a Mann-Whitney U test was conducted. Variables associated for obtaining governmental support were identified through a binary logistic regression analysis. The key actors in information dissemination were found through a social network analysis of the 93 farmers who receive governmental supports. Results: Significant differences (P<0.05) were found between groups. The farmers with governmental supports had larger production units, higher technology level and perceived that it was less difficult to carry out the procedures to access such programs. Variables related to total hectares, number of feeding techniques, daily sales of milk, and perception of difficulty were associated to participation in governmental support programs. Implications: The key actors in the social network were the farmers with the largest farms, greater availability of economic resources and links with other farmers or officials from governmental institutions and organizations; however, farmers with restricted liquidity and smaller farms, but who generate links in the network were also recognized as key actors. Conclusions: The participation of farmers in governmental support programs was associated to the size of the production unit, perception of simplicity or difficulty to carry out the legal procedures, in addition to links with key actors who make the legal procedures easy.

Keywords


small-scale dairy farms; governmental programs; key actors.

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References


Andersson, A, Höjgård, S. and Rabinowicz, E., 2017. Evaluation of results and adaptation of EU rural development programms. Land Use Policy, 67, pp. 298-314. https://doi.org/10.1016/j.landusepol.2017.05.002

Ávila-Foucat, V.S., 2017. Desafíos del sector primario y políticas públicas sustentables. Economía Informa, 402, pp. 29-39. https://doi.org/10.1016/j.ecin.2017.01.003

Banco de México, 2020. Sistema de información económica. Mercado cambiario (Tipos de cambio). Available at https://www.banxico.org.mx/tipcamb/main.do?page=tip&idioma=sp (accessed 15 February 2023).

Campos, R.F.de A., da Cunha, D.A. and Bueno N.P., 2020. Disseminação de informações em sistemas socioecológicos: análise de um modelo híbrido de Dinâmica de Sistemas e Modelagem Baseada em Agentes. Nova Economia, 30, pp. 257-286. https://doi.org/10.1590/0103-6351/4723

Carolan, B.V., 2014. Social Network Analysis and Education. Theory Methods and Applications. United States of America: SAGE Publications.

Crespo, J., Réquier-Desjardins, D. and Vicente, J., 2014. Why can collective action fail in Local Agri-food Systems? A social network analysis of cheese producers in Aculco, Mexico. Food Policy 46, pp. 165-177. https://doi.org/10.1016/j.foodpol.2014.03.011

De Roo, N., Almekinders, C., Leeuwis, C. and Tefera, T., 2019. Scaling modern technology or scaling exclusion? The socio-political dynamics of accessing in malt barley innovation in two highland communities in Southern Ethiopia. Agricultural Systems, 174, pp. 52-62. https://doi.org/10.1016/j.agsy.2019.04.004

de Souza, A.F.M., Provezano, A. G. and Ferreira de Freitas, A., 2021. Social networks and efficiency in dairy farming: The case of the Program for the Development of Dairy Farming in Minas Gerais, Brazil. Livestock Science, 244, p. 104401. https://doi.org/10.1016/j.livsci.2021.104401

Ervilha, G.T. and Gomes, A.P., 2017. Efficiency and selection of benchmarks in milk production in Minas Gerais – Brazil. Rivista Di Economia Agraria. 72, pp. 107-134. https://doi.org/10.13128/REA-22657

Espinoza-Ortega, A., Espinosa-Ayala, E., Bastida-López, J., Castañeda-Martínez, T. and Arriaga-Jordán, C.M., 2007. Small-scale dairy farming in the highlands of central Mexico, technical, economic and social aspects and their impact on poverty. Experimental Agriculture, 43, pp. 241-256. https://doi.org/10.1017/S0014479706004613

Field A., 2013. Discovering Statistics Using IBM SPSS Statistics. 4th Edn. London: SAGE Publications.

Gan, X., Chang, R. and Wen, T., 2018. Overcoming barriers to off-site construction through engaging stakeholders: A two-mode social network analysis. Journal of Cleaner Production, 201, pp. 735-747. https://doi.org/10.1016/j.clepro.2028.07.299

Gonçalves, R.M.L., Vierira, W.C., Lima, J.E. and Gomes, S.T., 2008. Analysis of technical efficiency of milk-producing farms in Minas Gerais. Economia Aplicada, 12, pp. 321-335. http://doi.org/10.1590/S1413-80502008000200007

Harris, D., 2018. Intensification benefit index: how much can rural households benefit from agricultural intensification? Experimental Agriculture, 55, pp. 273-287. https://doi.org/10.1017/S0014479718000042

Heinrichs, A.J, Jones, C.M., Gray, S.M., Heinrichs, P.A. and Cornelisse, S.A.R.C., 2013. Goodling Identifying efficient dairy heifer producers using production costs and data envelopment analysis. Journal of Dairy Science, 96, pp. 7355-7362. https://doi.org/10.3168/jds.2012-6488

Henning, C., Aßmann, C., Hedtrich, J., Ehrenfels, J. and Krampe, E., 2019. What drives participatory policy processes: Grassroot activities, scientific knowledge or donor money? - A comparative policy network approach. Social Networks, 58, pp. 78-104. https://doi.org/10.1016/j.socnet.2019.03.001

DATA Mexico, 2025. Aculco, municipio del Estado de México. Consultado el 28 de agosto de 2025. Available at: https://www.economia.gob.mx/datamexico/es/profile/geo/aculco#economy

INEGI, 2022a. Censo Agropecuario 2022. Número de unidades de producción con cría y explotación de bovinos según función zootécnica del ganado por entidad federativa y estratos de superficie total. Available at: https://www.inegi.org.mx/programas/ca/2022/#tabulados (accessed 13 august 2025).

INEGI, 2022b. Censo Agropecuario 2022. Existencias de bovinos según función zootécnica del ganado por entidad federativa y municipio. Available at: https://view.officeapps.live.com/op/view.aspx?src=https%3A%2F%2Fwww.inegi.org.mx%2Fcontenidos%2Fprogramas%2Fca%2F2022%2Ftabulados%2Fca2022_gan04.xlsx&wdOrigin=BROWSELINK (accessed 13 august 2025).

Joshi A., Kale S., Chandel, S. and Pal, D.K., 2015. Likert Scale: Explored and Explained. British Journal of Applied Science and Technology, 7, pp. 396-403. https://doi.org/10.9734/BJAST/2015/14975

Junjian, Z.A., Matous, P. and Tan, D.K.Y., 2020. Forget opinion leaders: the role of social network brokers in the adoption of innovative farming practices in North-western Cambodia. International Journal of Agricultural Sustainability, 18, pp. 266-284. https://doi.org/10.1080/14735903.2020.1769808

Kiryluk-Dryjska, E., Beba, P. and Poczta, W., 2020. Local determinants of the Common Agricultural Policy rural development funds’ distribution in Poland and their spatial implications. Journal of Rural Studies, 74, pp. 201-209. https://doi.org/10.1016/j.jrurstud.2020.01.018

Lang, R. and Fink, M., 2019. Rural social entrepreneurship: The role of social capital within and across institutional levels. Journal of Rural Studies, 70, pp. 155-168. https://doi.org/10.1016/j.jrurstud.2018.03.012

Liu, Z., Zhang, T., Yu, J. and Zhou, L., 2019. Determinants of rural households' afforestation program participation: Evidence from China's Ningxia and Sichuan provinces. Global Ecology and Conservation, 17, p. e00533. https://doi.org/10.1016/j.gecco.2019.e00533

Lombardi, M., Lopolito, A., Andriano, A.M., Prosperi, M., Stasi, A. and Iannuzzi, E., 2020. Network impact of social innovation initiatives in marginalised rural communities. Social Networks, 63, pp. 11-20. https://doi.org/10.1016/j.socnet.2020.04.001

Martínez-García, C.G., Dorward, P. and Rehman, T., 2012. Farm and socio-economic characteristics of smallholder milk producers and their influence on technology adoption in Central Mexico. Tropical Animal Health and Production, 44, pp. 1199-1211. https://doi.org/10.1007/s11250-011-0058-0

Martínez-García, C.G., Ugoretz, S.J., Arriaga-Jordán, C.M. and Wattiaux, M.A., 2015. Farm, household and farmer characteristics associated with changes in management practices and technology adoption among dairy smallholders. Tropical Animal Health and Production, 47, pp. 311-316. https://doi.org/10.1007/s11250-014-0720-4

Martínez-García, C.G., Dorward, P. and Rehman, T., 2016. Factors influencing adoption of crop and forage related and animal husbandry technologies by small-scale dairy farmers in central Mexico. Experimental Agriculture, 52, pp. 87-109. https://doi.org/10.1017/S001447971400057X

Martínez-García, C.G., Rayas-Amor, A.A., García-Martínez, A., Estrada-Flores, J.G. and Arriaga-Jordán, C.M., 2021. Small-scale dairy producers’ intention to use corn silage and the role of socioeconomic and socio-psychological factors in decision making. Tropical and Subtropical Agroecosystems, 24, p. 077. http://dx.doi.org/10.56369/tsaes.3619

Meij, E., Haarsten, T. and Meijering, L., 2020. Enduring rural poverty: Stigma, class practices and social networks in a town in the Groninger Veenkoloniën. Journal of Rural Studies, 79, pp. 226-234. https://doi.org/10.1016/j.jrurstud.2020.08.031

Minh, T.T., Larsen, C.E.S. and Neef, A., 2010. Challenges to institutionalizing participatory extension: The case of farmer livestock school in Vietnam. Journal of Agricultural Education and Extension, 16, pp. 179-194. https://doi.org/10.1080/13892241003651449

Plata-Reyes, D., Estrada-Flores, J.G., Rayas-Amor, A.A. and Martínez-García, C.G., 2025. Intention of small-scale cow dairy producers to use maize silage, and the role of friendship network in the communication of the innovation. Tropical and Subtropical Agroecosystems, 28, pp. 1-14. http://doi.org/10.56369/tsaes.5834

Romo-Bacco, C.E., Valdivia-Flores, A.G., Carranza-Trinidad, R.G., Cámara-Córdova, J., Zavala-Arias, M.P., Flores-Ancira, E. and Espinosa-García, J.A., 2014. Gaps in economic profitability among small-scale dairy farms in the Mexican Highland Plateau. Revista Mexicana de Ciencias Pecuarias, 5, pp. 273-290. http://www.scielo.org.mx/pdf/rmcp/v5n3/v5n3a2.pdf

Rudnick, J., Niles, M., Lubell, M. and Cramer, L., 2019. A comparative analysis of governance and leadership in agricultural development policy networks. World Development, 117, pp. 112-126. https://doi.org/10.1016/j.worlddev.2018.12.015

Rogers, E.M., 2003. Diffusion of Innovations (5th Edition). New York: Free Press.

Salinas-Martínez, J.A., Posadas-Domínguez, R.P., Morales-Díaz, L.D., Rebollar-Rebollar, D. and Rojo-Rubio, R., 2020. Cost analysis and economic optimization of small-scale dairy production systems in Mexico. Livestock Science, 237, 104028. https://doi.org/10.1016/j.livsci.2020.104028

Shahrina, Md.N., Shuhaida, M.N. and Moho, S.binMd.S., 2014. Innovation Diffusion of New Technologies in the Malaysian Paddy Fertilizer Industry. Procedia - Social and Behavioral Sciences, 109, pp. 768 – 778. http://doi.org/10.1016/j.sbspro.2013.12.542

Simões, A.R.P., Bueno, N.P., Almeida, F.M.de S., Nicholson, C.F., dos Reis, J.D. and Leonel, F.deP, 2020. Public policies for enhancing diffusion of technology: a network analysis for a dairy farmer community in Minas Gerais, Brazil. Revista Brasileira de Zootecnia, 49, pp. 1-11. https://doi.org/10.37496/rbz4920190207

Stokes, J.R., Tozer, P.R. and Hyde, J., 2007. Identifying Efficient Dairy Producers Using Data Envelopment Analysis. Journal of Dairy Science. 90, pp. 2555-2562. https://doi.org/10.3168/jds.2006-596

Stivala, A.D., Koskinen, J.H., Rolls, D.A., Wang, P. and Robins, G.L., 2016. Snowball sampling for estimating exponential random graph models for large networks. Social Networks, 47, pp. 167-188. https://doi.org/10.1016/j.socnet.2015.11.003

Thi, M.T., Schou, L.S.C.E. and Neef, A., 2010. Challenges to institutionalizing participatory extension: The case of farmer livestock school in Vietnam. Journal of Agriculture Education and Extension 16, pp. 179-194. https://doi.org/10.1080/13892241003651449

Ullah, A., Arshad, M., Kächele, H., Khan, A., Mahmood, N. and Müller, K., 2020. Information asymmetry, input markets, adoption of innovations and agricultural land use in Khyber Pakhtunkhwa, Pakistan. Land Use Policy, 90, 104261. https://doi.org/10.1016/j.landusepol.2019.104261

Valente, T.W., 2010. Social Networks and Health Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195301014.001.0001

Yang, S., Keller, F.B. and Zheng, L., 2017. Social Network Analysis. Methods and Examples. United State of America: SAGE Publications.




URN: http://www.revista.ccba.uady.mx/urn:ISSN:1870-0462-tsaes.v28i3.64365

DOI: http://dx.doi.org/10.56369/tsaes.6436



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