Rural agro-industrial enterprises diversity: typologies of panela production in Huila, Colombia
DOI:
https://doi.org/10.15517/am.v33i2.47969Keywords:
multivariate analysis, Saccharum spp., food technology, family farmingAbstract
Introduction. Typologies can be used as a mechanism to address the heterogeneity of agricultural systems. Panela, or non-centrifuged cane sugar, is a traditional sweetener of great economic and cultural importance in Colombia, it generates 236,000 direct jobs per year and is produced in 47 % of the country’s municipalities. Objective. To identify typologies of agro-industrial production units (UPA) of panela based on technical and socioeconomic characteristics in the department of Huila, Colombia. Materials and methods. The multivariate statistical technique of mixed data factor analysis (AFDM) was used with data from 94 UPAs, taken from a representative cross-sectional survey of the year 2019 carried out within the framework of this study. The survey provided information on production cycle, socioeconomic, and environmental management management of by-products. Results. Three differentiated types of UPA were identified: type 1(6 UPA- 6.38 %): composed of units oriented to productive diversification and technological transition; type 2 (63 UPA-67.02 %): composed of units with traditional management of the cultivation, processing and use of by-products; and type 3 (25 UPA-26,6 %): composed of units specialized in the production of panela, with greater technification in cultivation and processing of sugarcane. Conclusions. Different heterogeneous groups of panela agro-industrial production units were identified in the department of Huila, Colombia, where a traditional small-scale operation model is developed. The empirical exploration of this research made it possible to delineate the potential for technology adoption in the identified groups. Technology transfer programs should consider the technical and socioeconomic characteristics of the UPAs.
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Ahimbisibwe, B. P., Morton, J. F., Feleke, S., Alene, A., Abdoulaye, T., Wellard, K., Mungatana, E., Bua, A., Asfaw, S., & Manyong, V. (2020). Household welfare impacts of an agricultural innovation platform in Uganda. Food and Energy Security, 9(3), Article e22. https://doi.org/10.1002/fes3.225
Ainembabazi, J. H., & Mugisha, J. (2014). The role of farming experience on the adoption of agricultural technologies: Evidence from smallholder farmers in Uganda. The Journal of Development Studies, 50(5), 666–679. https://doi.org/10.1080/00220388.2013.874556
Alarcón, N. L., Orjuela, A., Narváez, P. C., & Camacho, E. C. (2020). Thermal and rheological properties of juices and syrups during non-centrifugal sugar cane (Jaggery) production. Food and Bioproducts Processing, 121, 76–90. https://doi.org/10.1016/j.fbp.2020.01.016
Alboukadel, K. & Fabian, M. (2017). Factoextra: Extract and visualize the results of multivariate data analyses (R Package Version 1.0.5.). R Foundation for Statistical Computing. https://CRAN.R-project.org/package=factoextra
Alvarez, S., Timler, C. J., Michalscheck, M., Paas, W., Descheemaeker, K., Tittonell, P., Andersson, J. A., & Groot, J. C. J. (2018). Capturing farm diversity with hypothesis-based typologies: An innovative methodological framework for farming system typology development. PLOS ONE, 13(5), Article e0194757. https://doi.org/10.1371/journal.pone.0194757
Blazy, J. M., Ozier-Lafontaine, H., Doré, T., Thomas, A., & Wery, J. (2009). A methodological framework that accounts for farm diversity in the prototyping of crop management systems: Application to banana-based systems in Guadeloupe. Agricultural Systems, 101(1–2), 30–41. http://doi.org/10.1016/j.agsy.2009.02.004
Castellanos, O., Torres, L., & Flórez, D. (2010). Agenda prospectiva de investigación y desarrollo tecnológico para la cadena productiva de la panela y su agroindustria en Colombia. Ministerio de Agricultura y Desarrollo Rural. https://repository.agrosavia.co/bitstream/handle/20.500.12324/12695/81353_59328.pdf?sequence=1&isAllowed=y
Coaquira Incacari, R., Julca Otiniano, A., Coaquira Lastarria, R. J., & Mendoza Cortez, J. W. (2019). Caracterización de las unidades productoras de papa (Solanum tuberosum L.) en la provincia de Jauja, Junín, Perú. Idesia (Arica), 37(4), 101–108. http://doi.org/10.4067/S0718-34292019000400101
Corporación Colombiana de Investigación Agropecuaria. (2016). PECTIA: Plan Estratégico de Ciencia, Tecnología e Innovación del sector Agropecuario Colombiano (2017-2027). https://repository.agrosavia.co/handle/20.500.12324/12759
Curry, G. N., Nake, S., Koczberski, G., Oswald, M., Rafflegeau, S., Lummani, J., Peter, E., & Nailina, R. (2021). Disruptive innovation in agriculture: Socio-cultural factors in technology adoption in the developing world. Journal of Rural Studies, 88, 422-431. https://doi.org/10.1016/j.jrurstud.2021.07.022
Departamento Administrativo Nacional de Estadística. (2021). Cuentas nacionales departamentales. https://www.dane.gov.co/index.php/servicios-al-ciudadano/65-espanol/cuentas-nacionales/cuentas-nacionales-departamentales.
Feyisa, B. W. (2020). Determinants of agricultural technology adoption in Ethiopia: A meta-analysis. Cogent Food & Agriculture, 6(1), Article 1855817. https://doi.org/10.1080/23311932.2020.1855817
Gao, Y., Niu, Z., Yang, H., & Yu, L. (2019). Impact of green control techniques on family farms’ welfare. Ecological Economics, 161, 91–99. https://doi.org/10.1016/j.ecolecon.2019.03.015
Hammond, J., Rosenblum, N., Breseman, D., Gorman, L., Manners, R., van Wijk, M. T., Sibomana, M., Remans, R., Vanlauwe, B., & Schut, M. (2020). Towards actionable farm typologies: Scaling adoption of agricultural inputs in Rwanda. Agricultural Systems, 183, Article 102857. https://doi.org/10.1016/j.agsy.2020.102857
Helfand, S. M., & Taylor, M. P. (2021). The inverse relationship between farm size and productivity: Refocusing the debate. Food Policy, 99, Article 101977. https://doi.org/10.1016/j.foodpol.2020.101977
Instituto Geográfico Agustín Codazzi. (1994). Estudio general de suelos y zonificación de tierras del departamento del Huila. Ministerio de Hacienda y Crédito Público.
Kostov, B., Bécue-Bertaut, M., & Husson, F. (2015). Correspondence analysis on generalised aggregated lexical tables (CA-GALT) in the FactoMineR Package. The R Journal, 7(1), Article 109. http://doi.org/10.32614/rj-2015-010
Kovtun, O. V. (2020). Pluriatividade e agroindústrias rurais no Maranhão: uma análise baseada no censo agropecuário de 2006. Revista Pós Ciências Sociais, 16(32), Article A189. https://doi.org/10.18764/2236-9473.v16n32p189-217
Kpadonou, R. A. B., Owiyo, T., Barbier, B., Denton, F., Rutabingwa, F., & Kiema, A. (2017). Advancing climate-smart-agriculture in developing drylands: Joint analysis of the adoption of multiple on-farm soil and water conservation technologies in West African Sahel. Land Use Policy, 61, 196–207. https://doi.org/10.1016/j.landusepol.2016.10.050
Kuivanen, K., Alvarez, S., Michalscheck, M., Adjei-Nsiah, S., Descheemaeker, K., Mellon-Bedi, S., & Groot, J. (2016). Characterising the diversity of smallholder farming systems and their constraints and opportunities for innovation: A case study from the Northern Region, Ghana. NJAS: Wageningen Journal of Life Sciences, 78(1), 153–166. https://doi.org/10.1016/j.njas.2016.04.003
Kwadzo, M., & Quayson, E. (2021). Factors influencing adoption of integrated soil fertility management technologies by smallholder farmers in Ghana. Heliyon, 7(7), Article e07589. https://doi.org/10.1016/j.heliyon.2021.e07589
Lampach, N., to The, N., & Dinh, T. T. (2020). Technical Efficiency and the Adoption of Multiple Agricultural Technologies in the Mountainous areas of northern Vietnam. SSRN Electronic Journal, 2020, Article 3421434. https://doi.org/10.2139/ssrn.3421434
Lê, S., Josse, J., & Husson, F. (2008). FactoMineR: AnRPackage for Multivariate Analysis. Journal of Statistical Software, 25(1), 1–18. https://doi.org/10.18637/jss.v025.i01
Lopez-Ridaura, S., Frelat, R., van Wijk, M. T., Valbuena, D., Krupnik, T. J., & Jat, M. (2018). Climate smart agriculture, farm household typologies and food security. Agricultural Systems, 159, 57–68. https://doi.org/10.1016/j.agsy.2017.09.007
Machado-Vargas, M. M., Nicholls, C. I., Márquez, S. M., & Turbay, S. (2015). Caracterización de nueve agroecosistemas de café de la cuenca del río Porce, Colombia, con un enfoque agroecológico. Idesia (Arica), 33(1), 69–83. http://doi.org/10.4067/S0718-34292015000100008
Makate, C., Makate, M., & Mango, N. (2018). Farm household typology and adoption of climate-smart agriculture practices in smallholder farming systems of southern Africa. African Journal of Science, Technology, Innovation and Development, 10(4), 421–439. https://doi.org/10.1080/20421338.2018.1471027
Mao, H., Zhou, L., Ying, R., & Pan, D. (2021). Time Preferences and green agricultural technology adoption: Field evidence from rice farmers in China. Land Use Policy, 109, Article 105627. https://doi.org/10.1016/j.landusepol.2021.105627
Marshall, N., Stokes, C., Webb, N., Marshall, P., & Lankester, A. (2014). Social vulnerability to climate change in primary producers: A typology approach. Agriculture, Ecosystems & Environment, 186, 86–93. https://doi.org/10.1016/j.agee.2014.01.004
Mendiburu, F.D. (2015). Agricolae: Statistical procedures for agricultural research (R package version 1.2-3.). R Foundation for Statistical Computing. http://CRAN.R-project.org/package=agricolae
Mendoza-Orozco, M. E., Morales-Flores, F. J., & Méndez-Gallego, S. D. J. (2019). Tipología de productores de nopal tunero en Pinos, Zacatecas. Revista Mexicana de Ciencias Agrícolas, 22, 77–88. https://doi.org/10.29312/remexca.v0i22.1860
Ministerio de Agricultura y Desarrollo Rural. (s.f.). Total indicadores del sector agropecuario y agroindustrial. http://www.siembra.co/Indicadores/Indicador/ReporteLista
Ministerio de Protección Social (2006). Resolución No. 779: Por la cual se establece el reglamento técnico sobre los requisitos sanitarios que se deben cumplir en la producción y comercialización de la panela para consumo humano y se dictan otras disposiciones. Recuperado el 26 de junio de 2021, de http://www.fedepanela.org.co/files/RESOLUCIN_779_DE_2006.pdf
Mooi, E., & Sarstedt, A. (2011). Cluster analysis. In E. Mooi, & A. Sarstedt (Eds.), A concise guide to market research (1st ed., pp. 237–284). Springer. http://doi.org/10.1007/978-3-642-12541-6
Musafiri, C. M., Macharia, J. M., Ng’etich, O. K., Kiboi, M. N., Okeyo, J., Shisanya, C. A., Okwuosa, E. A., Mugendi, D. N., & Ngetich, F. K. (2020). Farming systems’ typologies analysis to inform agricultural greenhouse gas emissions potential from smallholder rain-fed farms in Kenya. Scientific African, 8, Article e00458. https://doi.org/10.1016/j.sciaf.2020.e00458
Organización de las Naciones Unidas para la Alimentación y la Agricultura. (2011). Farm business school handbook: Training of farmers programme for South Asia. https://www.fao.org/publications/card/es/c/8bbd1638-d60b-5be5-ba9e-7a5dbe824088/
Parsons, V. L. (2017). Stratified sampling. In N. Balakrishnan, T. Colton, B. Everitt, W. Piegorsch, F. Ruggeri, & J. L. Teugels (Eds.), Wiley StatsRef: Statistics reference online. John Wiley & Sons, Ltd. https://doi.org/10.1002/9781118445112.stat05999.pub2
Prada Forero, L. E., García Bernal, H. R., & Chaves Guerrero, A. (2015). Efecto de las variables de evaporación: presión y flujo calórico en la calidad de la panela. Revista Ciencia y Tecnología Agropecuaria, 16(1), 7–23. https://doi.org/10.21930/rcta.vol16_num1_art:376
Ramírez Gil, J. G. (2017). Characterization of traditional production systems of sugarcane for panela and some prospects for improving their sustainability. Revista Facultad Nacional de Agronomía, 70(1), 8045–8055. https://doi.org/10.15446/rfna.v70n1.61763
Razafimbelo, T., Barthès, B., Larré-Larrouy, M. -C., Luca, E. F. D., Laurent, J. -Y., Cerri, C. C., & Feller, C. (2006). Effect of sugarcane residue management (mulching versus burning) on organic matter in a clayey Oxisol from southern Brazil. Agriculture, Ecosystems & Environment, 115(1–4), 285–289. https://doi.org/10.1016/j.agee.2005.12.014
Ren, C., Liu, S., van Grinsven, H., Reis, S., Jin, S., Liu, H., & Gu, B. (2019). The impact of farm size on agricultural sustainability. Journal of Cleaner Production, 220, 357–367. https://doi.org/10.1016/j.jclepro.2019.02.151
Rodríguez, J., Velázquez, F., Espitia, J., Escobar, S., & Mendieta, O. (2018). Thermal performance evaluation of production technologies for non-centrifuged sugar for improvement in energy utilization. Energy, 152, 858–865. https://doi.org/10.1016/j.energy.2018.03.127
Rodríguez-Borray, G. A. (2000). La Panela en Colombia frente al nuevo milenio: Un análisis de la cadena agroindustrial. En C. J. Mora-Padilla (Ed.), Manual de caña de azúcar para la producción de panela (pp. 25–39). Corporación Colombiana de Investigación Agropecuaria.
Rodríguez-Borray, G. A., Polo-Murcia, S. M., Buitrago-Ardila, A. M., & Angel-Riveros, M. (2020). La agroindustria panelera impulsando el desarrollo rural de Colombia (1ra ed., Vol. 1). Federación Nacional de Productores de Panela. http://hdl.handle.net/20.500.12324/36696
Rodríguez-Borray, G. A., Huertas-Carranza, B., Polo-Murcia, S. M., González-Chavarro, C. F., Tauta-Muñoz, J. L., Rodríguez-Cortina, J., Ramírez-Durán, J., Velásquez-Ayala, F. A., Espitia-González, J. J., & López-Zarazá, R. A. (2020). Modelo productivo de la caña de azúcar (Saccharum officinarum) para la producción de panela en Cundinamarca. Corporación Colombiana de Investigación Agropecuaria.
Rozo Wilches, L. S., Naranjo Delgado, N. Y., Ariza Motta, F., Bolaños Muñoz, D. L., Rivera, C. A., Muñoz Rodríguez, H., Gaviria, E. F., García Bernal, H. R., & Puentes Lemus, J. P. (2017). Evaluación de variedades de caña e Innovación en infraestructura para la agroindustria panelera sur Huila. Produmedios. https://www.onfandina.com/images/Publicaciones/Panela_/Evaluacion%20Variedades%20ca%C3%B1a%20-Innovacion%20infraestructura%20panelera_Sur%20Huila.pdf
RStudio Team. (2019). RStudio: Integrated development for R. R Foundation for Statistical Computing. http://www.rstudio.com/
Santistevan Méndez, M., Julca Otiniano, A., Borjas Ventura, R., & Tuesta Hidalgo, O. (2014). Caracterización de fincas cafetaleras en la localidad de Jipijapa (Manabí, Ecuador). Ecología Aplicada, 13(1–2), 187–192. http://doi.org/10.21704/rea.v13i1-2.469
Santos Chávez, V. M., Zuñiga Estrada, M., Leos Rodríguez, J. A., & Álvarez Macías, A. (2014). Tipología de productores agropecuarios para la orientación de políticas públicas: aproximación a partir de un estudio de caso en la región Texcoco, Estado de México, México. Revista Sociedades Rurales, Producción y Medio Ambiente, 14(28), 47–69. https://sociedadesruralesojs.xoc.uam.mx/index.php/srpma/article/view/268
Rashid Sarker, M., Valadares Galdos, M., Challinor, A. J., & Hossain, A. (2021). A farming system typology for the adoption of new technology in Bangladesh. Food and Energy Security, 10(3), Article e287. https://doi.org/10.1002/fes3.287
Shukla, R., Agarwal, A., Gornott, C., Sachdeva, K., & Joshi, P. K. (2019). Farmer typology to understand differentiated climate change adaptation in Himalaya. Scientific Reports, 9(1), Article 20375. http://doi.org/10.1038/s41598-019-56931-9
Sistema General de Regalías. (s.f.). Inversión. https://www.sgr.gov.co/Inversi%C3%B3n.aspx
Solís Lucas, L. A., Lanari, M. R., & Oyarzabal, M. I. (2020). Tipificación integral de sistemas caprinos de la provincia de Santa Elena, Ecuador. La Granja, 31(1), 72–85. https://doi.org/10.17163/lgr.n31.2020.06
Sousa, G. B., Martins Filho, M. V., & Matias, S. S. R. (2012). Perdas de solo, matéria orgânica e nutrientes por erosão hídrica em uma vertente coberta com diferentes quantidades de palha de cana-de-açúcar em Guariba - SP. Engenharia Agrícola, 32(3), 490–500. https://doi.org/10.1590/s0100-69162012000300008
Tauta Muñoz, J. L., Camacho Tamayo, J. H., & Rodríguez Borray, G. A. (2018). Estimación de erosión potencial bajo dos sistemas de corte de caña panelera utilizando la ecuación universal de pérdida de suelos. Revista U.D.C.A Actualidad & Divulgación Científica, 21(2), 405–413. https://doi.org/10.31910/rudca.v21.n2.2018.1074
Thar, S. P., Ramilan, T., Farquharson, R. J., & Chen, D. (2021). Identifying potential for decision support tools through farm systems typology analysis coupled with participatory research: A case for smallholder farmers in Myanmar. Agriculture, 11(6), Article 516. https://doi.org/10.3390/agriculture11060516
Tuesta Hidalgo, O., Julca Otiniano, A., Borjas Ventura, R., Rodríguez Quispe, P., & Santistevan Méndez, M. (2014). Tipología de fincas cacaoteras en la subcuenca media del río Huayabamba, distrito de Huicungo (San Martín, Perú). Ecología Aplicada, 13(1–2), 71–78. https://doi.org/10.21704/rea.v13i1-2.457
Vega-Dienstmaier, J. M., & Arévalo-Flores, J. M. (2014). Clasificación mediante análisis de conglomerados: un método relevante para la psiquiatría. Revista de Neuro-Psiquiatría, 77(1), 31–39. https://doi.org/10.20453/rnp.v77i1.1161
Velásquez, F., Espitia, J., Mendieta, O., Escobar, S., & Rodríguez, J. (2019). Non-centrifugal cane sugar processing: A review on recent advances and the influence of process variables on qualities attributes of final products. Journal of Food Engineering, 255, 32–40. https://doi.org/10.1016/j.jfoodeng.2019.03.009
Vera-Gutiérrez, T., García-Muñoz, M. C., Otálvaro-Alvarez, A. M., & Mendieta-Menjura, O. (2019). Effect of processing technology and sugarcane varieties on the quality properties of unrefined non-centrifugal sugar. Heliyon, 5(10), Article e02667. https://doi.org/10.1016/j.heliyon.2019.e02667
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