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Revista mexicana de ciencias agrícolas

versión impresa ISSN 2007-0934

Rev. Mex. Cienc. Agríc vol.12 no.7 Texcoco sep./nov. 2021  Epub 22-Mar-2022

https://doi.org/10.29312/remexca.v12i7.2781 

Articles

Description and analysis of coffee producers from the Mixe region, Oaxaca

José Uriel García-Domínguez¹ 

Yuri Villegas-Aparicio1  § 

Elvira Duran-Medina2 

José Cruz Carrillo-Rodríguez1 

Dora Ma. Sangerman-Jarquín3 

Ernesto Castañeda-Hidalgo1 

1Instituto Tecnológico del Valle de Oaxaca. Ex-Hacienda Nazareno, Santa Cruz Xoxocotlán, Oaxaca, México. CP. 71230. (urielgarcia.jugd@gmail.com; ernesto.ch@voaxaca.tecnm.mx; jose.cr@voaxaca.tecnm.mx).

2Instituto Politécnico Nacional-CIIDIR Unidad Oaxaca. Hornos núm. 1003, Santa Cruz Xoxocotlán, Oaxaca, México. CP. 71230. (eduran3@hotmail.com).

3Campo Experimental Valle de México-INIFAP. Carretera los Reyes-Texcoco km 13.5, Coatlinchán, Texcoco, Estado de México, México. CP. 56250. (sangerman.dora@inifap.gob.mx).


Abstract

Diagnoses of the members of agricultural productive sectors provide information to generate strategies and public policies that strengthen them, according to their contexts. The objective of this study was to describe and analyze coffee producers based on social, productive, economic aspects and their perception of coffee farming. The information was obtained through semi-structured interviews conducted between November 2018 and March 2019 with producers (n= 40) from the Mixe region, Oaxaca, selected through a non-probabilistic sampling. The information was analyzed with descriptive statistics, hierarchical cluster analysis, Kruskal-Wallis test, Pearson χ2 and principal component analysis. The results showed that producers carry out coffee farming with social, economic and productive disadvantages, where investment in coffee plantation renewal (χ2= 0), area in production (χ2= 0), sale of coffee (χ2 =0), perception of coffee farming as a production option (χ2= 0.001), age of producers (χ2= 0), years of experience (χ2 =0) and the degree of education (χ2= 0) explain the conformation of dissatisfied (37.5%), undecisive (22.5%) and satisfied (40%) producers. Producers have social, productive and economic deficiencies that manifest themselves in a subsistence coffee farming, agroecosystems that tend to reduce their agrobiodiversity, with a partial strategy of pests and diseases, and deficient commercial structures that lead to a perception of this productive activity where the majority is dissatisfied and indecisive.

Keywords: coffee growers; organization; principal component analysis

Resumen

Diagnósticos sobre los integrantes de sectores productivos agrícolas proveen información para generar estrategias y políticas públicas que les fortalezcan, acordes a sus contextos. El objetivo del presente estudio fue describir y analizar a productores de café con base en aspectos sociales, productivos, económicos y su percepción sobre la cafeticultura. La información se obtuvo mediante entrevistas semiestructuradas realizadas entre noviembre de 2018 y marzo de 2019 a productores (n= 40) de la región Mixe, Oaxaca escogidos mediante un muestreo no probabilístico. La información se analizó con estadística descriptiva, análisis de conglomerados jerárquicos, prueba de Kruskal-Wallis, χ2 de Pearson y análisis de componentes principales. Los resultados mostraron que los productores desarrollan la cafeticultura con desventajas sociales, económicas y productivas donde la inversión en renovación de cafetal (χ2= 0), superficie en producción (χ2= 0), venta de café (χ2= 0), percepción sobre la cafeticultura como opción productiva (χ2= 0.001), edad de los productores (χ2= 0), años de experiencia (χ2= 0) y el grado de educación (χ2= 0) explican la conformación de productores inconformes (37.5%), indecisos (22.5%) y conformes (40%). Los productores presentan carencias sociales, productivas y económicas que se manifiestan en una cafeticultura de subsistencia, agroecosistemas que tienden a disminuir su agrobiodiversidad, con estrategia parcial de plagas y enfermedades, y estructuras comerciales deficientes que orillan a una percepción sobre esta actividad productiva donde la mayoría está inconforme e indecisa.

Palabras clave: análisis de componentes principales; cafeticultores; organización

Introduction

Agroecosystems are fundamental for the provision of food and key products for contemporary societies, among the most symbolic are shade coffee agroecosystems that represent the livelihoods of around 25 million small producers in the world (Valencia et al., 2016; Wagner et al., 2019). Coffee cultivation, like other crops, operates in scenarios of uncertainty due to extreme climates, low prices, pests and diseases, this situation was evidenced with the recent rust crisis (Hemileia vastatrix Berkeley and Broome) in Central America and Mexico. This, together with the characteristics of the producers, makes them vulnerable as they are in conditions of marginalization (Haggar et al., 2015; Läderach et al., 2017; Gerlicz, 2018; WCR, 2019).

Producing coffee in social contexts where resource scarcity prevails is a challenge addressed with different approaches such as inclusive innovation (Amaro-Rosales and Gortari-Rabiela, 2016), organizational strengthening (Espinoza et al., 2020), livelihoods (Alonso et al., 2019) and the promotion of cooperativism and fair trade (Arboleda et al., 2020; Ramírez and Nava, 2020). In Mexico, coffee production is an activity that occurs in 14 states and covers an approximate area of 712 000 ha. Currently, Oaxaca is the fourth largest coffee producer in the country with around 135 000 ha grown in marginalized indigenous regions (Ruelas-Monjardín, 2014; Bara and Pérez, 2015; SAGARPA, 2016; Fernández and Méndez, 2018; Henderson, 2019; SIAP, 2019).

A region little studied is the Mixe region located in the northeast of the state, which has 15 municipalities that practice this activity in a context of high marginalization and poverty (CONEVAL, 2018). In several regions, the characteristics of producers are unknown, even though this is a prerequisite for proposing strategies to promote agriculture (Borja et al., 2018). It is important to understand local contexts to generate appropriate strategies and public policies, for this reason, the present work aimed to describe and analyze coffee producers based on social, productive, economic aspects and the current perception of coffee farming.

Materials and methods

Study area

This descriptive and analytical study was conducted in four localities: Zompantle, San Isidro Huayapam, Santa Margarita Huitepec and Santiago Ixcuintepec (16° 56’ 05.7”/17° 00’ 58.0” north latitude and 95° 37’ 24.1”/95° 54’ 09.1” west longitude), located in the Mixe region northeast of the state of Oaxaca, Mexico (Figure 1).

The area is part of the Sierra Madre del Sur, and its rugged topography is typical of these mountain ranges with steep slopes (INEGI, 2016). It is located in one of the priority terrestrial regions of Mexico (RTP-130) that has a diversity of interconnected environments between tropical montane cloud forests and tropical rainforest (Arriaga et al., 2000). The inhabitants of the area belong to the Mixe culture and practice subsistence agriculture, coffee farming, extensive cattle farming, they are in a migratory category of strong expulsion and the product of greater commercialization in the region is coffee (INPI, 2017).

Figure 1 Study area (INEGI, 2019). 

Since coffee boomed in the 1940s (Torres, 1997), coffee farming in this region has gone through different stages. Currently, there are approximately 5 420 producers organized in 16 groups and distributed in the four study municipalities (AMECAFÉ, 2020). The study was conducted in three stages: 1) non-probability sampling; 2) information collection; and 3) statistical analysis of information.

Probabilistic sampling. Field data were collected using a two-stage sampling technique. Firstly, a non-probabilistic sampling was carried out that led to the case of four groups selected for the willingness and approachable of the subjects. Secondly, 40 producers from a total of 108 producers that make up the four groups were randomly chosen to carry out the present study.

Information collection. A semi-structured interview was conducted with 25 questions organized into four sections: 1) social aspects (gender, age of the producer, number of members in the family, basic services in the home -water, electricity, drainage, cooking fuel), schooling, medical assistance service); 2) productive aspects (sales history, years of experience, total area of the plot, area in production, age of plantations (new-old), management or cultural practices, type of coffee plantation -composition by planted varieties, species for shade and other useful plantations); 3) economic aspects (family income, social programs, sources of income, coffee sales channels); and 4) perception of coffee farming (as a production option and reason for response) and problems.

Thirty-one men and nine women (n= 40) randomly selected were interviewed, these were carried out in their homes and plots during the period from November 2018 to March 2019. Statistical analysis of information. The information gathered was concentrated in a database. A descriptive analysis was made and subsequently the study subjects were classified into groups using a hierarchical cluster analysis using Euclidean squared distance and Ward’s method in order to optimize the homogeneity of the clusters. Of the groups formed, the variables that influence this conformation were analyzed by means of the Kruskal-Wallis test and Pearson’s χ2. Finally, the quantitative variables that showed statistical significance (p≤ 0.05) were subjected to a principal component analysis to explain the conformation of the groups. The analyses were performed in the SPSS V25.0 (2017) statistical package.

Results and discussion

Social characteristics

In organizational terms, it is highlighted that the coffee producers interviewed are made up of men (68%) and women (32%) organized in local working groups, this reflects the trend of inclusion and gender relations in power structures and economic benefits (Cárcamo et al., 2010; Paz, 2018); however, indigenous women continue to live in conditions of exclusion and marginalization (Muñoz and Vásquez, 2012). Regarding the sociodemographic aspects, the average age of the interviewees is 53.8 years, with families of 3.6 members on average and, according to their experience, there are three categories: 30% belong to the generation of older adults (≥ 61 years), 57.5% to the generation of middle-aged producers (36-60 years) and 12.5% to the generation of young producers (≤ 35 years).

The decrease in young producers threatens the continuity of coffee farming due to the lack of generational replacement, this coincides with other studies (Aguirre et al., 2016; Jiménez-Barbosa et al., 2018), and consequently, it entails the loss of the social, economic and environmental benefits provided by these systems recognized in other studies as sustainable (Haggar et al., 2017; Vanderhaegen et al., 2018; Ho et al., 2018; Morales et al., 2018).

The homes of the interviewees lack at least one basic service (100% drainage, 32.5% cooking fuel and 32.5% piped water at home), regarding electricity, all have this service. Government policies and programs for social care and those focused on the coffee sector have not been able to overcome these situations. Few initiatives have managed to improve the quality of life of small coffee growers and are considered success cases (Pacheco et al., 2019); however, the poverty conditions of small producers continue to reflect the few benefits they receive.

Eighty percent are considered illiterate (incomplete primary education and without formal education), this harms the initiatives related to capacity building those public policies or fair trade programs (Kudama, 2020) and in the reading and interpretation of instructions for the use of packaged inputs that social programs provide for the sector. All producers receive medical care in the rural medical units of the Mexican Institute of Social Security (UMR-IMSS, for its acronym in Spanish) and 57.5% resort to private doctors in cases of emergency.

Productive characteristics

Concerning production conditions, the record of sale of dried parchment coffee reflects a loss that reached 89% in the 2011-2012 cycle compared to the previous cycle (Figure 2). This devastation of coffee plantations due to the rust epidemic impacted at the national level and transformed the social, economic and ecological bases of coffee farming in the long term (Avelino et al., 2015; Renard and Larroa, 2017; Libert et al., 2019; Henderson, 2019).

Figure 2 History of sale of dried parchment coffee of coffee growers surveyed (n= 40) in the Mixe region, Oaxaca, Mexico. 

Currently, the producers surveyed have 1.2 ha of coffee plantation on average, which represents half of the production capacity. Renewal costs reach $102 000.00 ha-1 carried out over an average period of three years and supported by practice (Table 1). The coffee plantations were renewed with their own work, eventual support from day laborers and the support of social programs to boost the sector (support program for small producers -PROCAFÉ component-). According to the above, the production characteristics of the respondents correspond to the category of small producers, given that they own less than five hectares of land, depend mainly on family labor and only hire workers occasionally (FAO, 2013; Bacon et al., 2014; Gómez et al., 2019).

Table 1 Current production aspects of coffee growers surveyed (n= 40) in the Mixe region, Oaxaca, Mexico. 

Mean SD Minimum Maximum CV (%)
Experience as a coffee grower (years) 35.8 13 5 60 34.8
Total area of the plot (ha) 2.3 1.3 1 5 55.8
Area in production (ha) 1.2 0.6 0.25 3 53.1
Age of plantations (years) 10.5 7.54 3 18 71.81
Renewal cost ($ ha-1 3 years-1) 102 000 55 510 45 000 260 000 49.08

SD= standard deviation; CV= coefficient of variation.

Regarding the management of coffee plantations, this has been predominantly traditional with transition efforts towards organic production, in this sense, 85% of producers implement live or dead barriers in contour lines, cultivation of varieties resistant to rust, use of organic inputs for the contribution of nutrients to the soil and later to the renewed coffee plantations. All producers recognize that this type of management involves more work, they also expect a positive economic impact in the short term as has already been verified with other experiences (Calo and Wise, 2005; Rabanal et al., 2019; Rodríguez et al., 2019).

The coffee areas studied are classified as traditional polycultures. In the study areas, two subtypes are distinguished: 55% are considered highly diversified because there are between 14 and 32 useful plants, up to six varieties of coffee and six varieties of shade, although they currently have less quantity with respect to what was reported in other studies (Moguel and Toledo, 1999), producers indicate that they will continue to plant more species (Figure 3a) and 45% presents low diversification, where there are mainly one or two varieties of coffee, and banana and Inga vera sp., as the dominant shade with a slow diversification process and producers do not make it clear if they will follow that trend (Figure 3b).

Figure 3a and 3b. Subtypes of coffee plantations based on the agrobiodiversity of small producers (n= 40) in the Mixe region, Oaxaca, Mexico. 

Producers plant more than one variety of coffee according to their preferences and ease of acquisition, today they report that they have the following varieties of coffee: Marsellesa (97.5%), Garnica (87.5%), Costa Rica 95 (42.5%), Mundo Novo (40%), Caturra Amarrillo (30%), Bourbon (17.5%), Oro Azteca (15%) and Creole (7.5%). Within the plots, the Marsellesa variety is the one that currently predominates and covers on average 67% of the coffee plantations, the remaining 33% corresponds to the other varieties mentioned above. It is important to emphasize that previously the predominant variety was Creole or Typica that was devastated by rust.

The predominant shade species are: Inga vera sp. (100% -all producers have it planted-), followed by Musa paradisiaca L. (97.5%), Persea americana (50%), Citrus sinensis (47.5%), Pouteria sapota (47.5%), Cedrela odorata (32.5%). The average density of Inga vera sp., is 82 trees ha-1, the other shade varieties have an irregular density that is not reported by producers, except the species Cedrela odorata, there are 6 trees ha-1 on average.

Economic characteristics

Producers have an average income of $2 432 pesos per month that comes from coffee farming and other income. Five percent of producers are supported by self-consumption agriculture, 62.5% by self-consumption agriculture and the sale of labor and 32.5% by self-consumption agriculture, remittances and social programs. The economy of the small producers interviewed corresponds to peasant forms of income diversification or the multifunctionality of family farming (Idárraga and Sánchez, 2016; Ticllacuri et al., 2020).

Regarding sales channels, producers belong to a limited liability rural production company (SPR de RL, for its name in Spanish) where they register to market the coffee produced and thus face situations of coffee crisis, but despite the effort, this structure has had a limited performance, largely attributed to the lack of professional management and involvement of the partners, this coincides with other studies (Rodríguez, 2020; Garduño and Ramírez, 2020).

Perception of coffee farming

Seventy percent of producers consider that coffee farming is the best production option in the region because the crop is adapted to the ecological and social environment and has a market, this perception has been built socially within the framework of a historical-social, local and regional context; from the experience and position of producers in the production chain that has finally been of subsistence and social reproduction rather than the accumulation of wealth (Ejea, 2009; Rosales et al., 2018).

At the other extreme is 30% of hesitant producers and consider small-scale cattle farming, mixed amaranth and cinnamon cultivation as better local options and migration to seek better income opportunities and quality of life (Figure 4). As for the perception of current problems, 67.5% consider that low prices generate greater distress for producers, for 17.5% they are pests and diseases and 15% consider that extreme climates represent a threat.

Figure 4 Dispersion of producers according to principal components. 

Differentiation and analysis of producers

Three groups were identified through cluster analysis based on the social, economic, productive and social perception characteristics of coffee farming. Conglomerate I integrated 9 (22.5%) producers, conglomerate II groups 15 producers (37.5%) and group III is made up of 16 producers (40%) (Figure 5).

Figure 5 Grouping of producers using Ward’s method. 

Group I is made up of young producers who are on average 35.7 years old, can read and write, which represents a significant difference (χ 2 = 0) with respect to groups II and III. Another contrast is that they consider coffee farming as an unattractive activity (χ2= 0), this is reflected in the renewal of their coffee plantations, being 0.9 ha on average, of which 66.7% presents low diversification. The producers of group II are the ones that have invested the least in the renewal of their coffee plantation ($71 733.30 pesos) and have the lowest average area in production (0.7 ha) of which 86% of their coffee plantations are highly diversified.

A significant difference (χ2= 0.001) is that they have three sources of income because they have decided to explore other options such as cattle farming or temporary migration for the sale of labor. Their perception of coffee farming is ‘bad’, it makes a significant difference (χ2= 0.006) compared to the other groups, this is because they consider low prices to be the biggest problem. Group III is made up of elderly producers, with a lot of experience, a reduced workforce and they are considered illiterate.

They are the producers that have invested the most in the renewal of their coffee plantations, have the largest area in production in hectares, of which 75% are highly diversified coffee plantations, and registered the largest amount in sales of dried parchment coffee in the cycle 2019-2020. Their perception of coffee farming is very good, 93.8% consider that it is an ideal crop in economic, social and environmental terms (Table 2).

Table 2 Values (minimum, maximum and mean) and significance of the quantitative variables that make up group III. 

Variable Subgroup I (n= 9) Subgroup II (n= 15) Subgroup III (n= 16) Significance (χ2= p< 0.05)
Age of producer (years) 35.3 25 ±52 61.8 43 ±86 56.8 51 ±72 0.000
Coffee sales 2019- 2020 (kg) 117.2 45 ±260 94.4 40 ±210 247.8 112 ±360 0.000
Experience as a coffee grower (years) 17.8 5 ±35 40.8 20 ±60 36.8 25 ±55 0.000
Total area of the plot (ha) 2.1 1 ±4 1.9 1 ±4 2.8 1 ±5 0.154
Area in production (ha) 0.9 0.5 ±1.5 0.7 0.25 ±1.2 1.8 1 ±3 0.000
Renewal cost ($ ha-1 3 years-1) 88 111.1 42 000 ±145000 71 733.3 30000 ±120 000 165 937.5 105 000 ±260 000 0.000
Family income ($) 2 333 1 500 ±3 600 1 980 1 500 ±3 200 2 912 1 500 ±5 000 0.059

Principal component analysis (KMO= 0.721 p= 0) generated two components that explain 87.1% of the group formed (Figure 4). Component 1 is defined by the variables of renewal cost of coffee plantation, area in production, sale of dried parchment coffee, cycle 2019-2020 and perception of coffee farming, component 2 is defined by the age of the producers, the years of experience as coffee grower and the level of education.

This explains and defines the groups of producers dissatisfied with coffee farming because they consider low prices as the biggest problem (37.5%), a group of producer’s undecideds in maintaining this productive activity (22.5%) and producers who are satisfied with coffee farming (40%).

Conclusions

The social situation of the coffee growers interviewed is not favorable because most of the producers are elderly and do not have a relay to assume the challenges that the sector currently implies. They work with lack of at least one basic service in the home, illiteracy and basic medical service, this derives from social problems at the level of the municipalities, which are of low human development. In productive terms, coffee agroecosystems are impacted by rust and have been slowly renewed, the predominant management remains traditional with incipient efforts of transition towards organic production, but with a notable tendency towards reduction that can generate important changes in the structure and functioning.

There are producers dissatisfied with coffee farming because they consider low prices as the biggest problem, those undecisive in maintaining these productive activities and those who are satisfied with coffee farming are older adults.

Literatura citada

Aguirre, C. J. F.; Cadena, I. J.; Ramírez, V. B.; Trejo, T. B. I.; Juárez, S. J. P. y Morales, F. F. J. 2016. Diversificación de cultivos en fincas cafetaleras como estrategia de desarrollo. Caso de Amatlán. Acta Universitaria. 26(1):30-38. https://doi.org/10.15174/au.2016.833. [ Links ]

Amaro-Rosales, M. y Gortari-Rabiela, R. 2016. Innovación inclusiva en el sector agrícola mexicano los productores de café en Veracruz. Economía Informa. (Ed.). 86-104 pp. [ Links ]

Arboleda, O. L.; Zavala, H. E. y Cueto, E. N. 2020. El cooperativismo caficultor en Colombia: el caso de la Cooperativa de Caficultores de Andes en el departamento de Antioquia, 1927-2015. América latina en la historia económica. 27(1):1-26. Doi: 10.18232/alhe.1025. [ Links ]

Arriaga, L. J. M.; Espinoza, C.; Aguilar, E.; Martínez, L.; Gómez y Loa, E. 2000. Regiones terrestres prioritarias de México. Escala de trabajo. 1:1 000 000. Comisión Nacional para el Conocimiento y uso de la Biodiversidad. México. 611 p. [ Links ]

AMECAFÉ. 2020. Asociación mexicana del café. Productores y productoras (información a nivel municipal): Total de productores del estado de Oaxaca, desglosado por municipio. México. http://www.cafeybiodiversidad.mx/productores-mun.php?label=oaxaca&datos=1,109940 &id-estado=20&persona=f. [ Links ]

Avelino, J.; Cristancho, M.; Georgiou, S.; Imbach, P.; Aguilar, L.; Borne-mann, P. L.; Anzueto, F. y Hruska, C. M. 2015. The coffee rust crises in Colombia and Central America (2008-2013): impacts, plausible causes and proposed solutions. Food Securit. 7(2):303-321. doi: 10.1007/s12571-015-0446-9. [ Links ]

Bacon, C. M.; Sundstrom, W. A.; Flores, G. M. E.; Méndez, V. E.; Santos, R.; Goldoftas, B. y Dougherty, I. 2014. Explaining the ‘hungry farmer paradox’: smallholders and fair-trade cooperatives navigate seasonality and change in nicaragua’s corn and coffee markets. Global Environmental Change. 25:133-149. doi: 10.1016/j.gloenvcha.2014.02.005. [ Links ]

Bara, C. y Pérez, P. 2015. Status quo, desafíos y oportunidades del café alternativo que se produce en México y se consume en Alemania. Agric. Soc. Des. 12(1):59-86. [ Links ]

Borja, B. M.; Velez, I. A. y Ramos, G. J. L. 2018. Tipología y diferenciación de productores de guayaba (Psidium guajava L.) en Calvillo, Aguascalientes, México. Región y Sociedad. 71(30):3-22. https://doi.org/10.22198/rys.2018.71.a402. [ Links ]

Calo, B. M. and Wise, T. A. 2005. Revaluing peasant coffee production: organic and fair-trade markets in Mexico, Medford, Mass. Global Development and Environment Innstitute, October. http://ase.tufts.edu/gdae/pubs/rp/RevaluingCoffee05.pdf. [ Links ]

Cárcamo, T. N. J.; Vázquez, G. V.; Zapata, M. E. y Nazar, B. A. 2010. Género, trabajo y organización. Mujeres cafetaleras de la unión de productores orgánicos de San Isidro Chiltepec, Chiapas. Estudios Sociales. 18(36):156-176. [ Links ]

CONEVAL. 2018. Consejo nacional de evaluación de la política de desarrollo social. Informe de pobreza y evaluación 2018. Oaxaca. Ciudad de México. https://www.coneval.org.mx /coordinacion/entidades/documents/informes-de-pobreza-y-evaluacion2018Documentos/ InformeOaxaca2018.pdf. [ Links ]

Ejea, M. T. 2009. Café y cultura productiva en una región de Veracruz. Nueva Antropología. 70 (22): 33-56. http://www.scielo. org.mx/scielo.php?script=sci-arttext&pid=S0185-063620 0900010000 3&lng=es&nrm=iso. ISSN 0185-0636. [ Links ]

Espinoza, L. V.; Rojas, D.; Salas, T. E. E. y Samaniego, N. A. 2020. Fortalecimiento organizacional de asociaciones de productores de café en las provincias de Loja y Zamora Chinchipe, Ecuador. Vínculos-Espe. 5(1):25-36. [ Links ]

Fernandez, M. y Méndez V. E. 2018. Subsistence under the canopy: agrobiodiversity’s contributions to food and nutrition security amongst coffee communities in Chiapas, Mexico. Agroecol. Sustain. Food Syst. 43 (5)1-23 pp. doi:10.1080/21683565.2018.1530326. [ Links ]

FAO. 2013. Food and agriculture organization of the United Nations. Agricultores pequeños y familiares. Vías de sostenibilidad. http://www.fao.org/3/ar588s/ar588s.pdf. [ Links ]

Garduño, Á. G. y Ramírez, L. A. 2020. Beneficios de pertenecer a una organización cafetalera: el caso de Santa María Yucuhiti, Oaxaca. Problemas del desarrollo Rev. Latinoam. Econ. 5(202):91-116. https:// doi.org /10 .22 201 /iiec.20078951e.2020.202.69516. [ Links ]

Gerlicz, A.; Méndez, V. E.; Conner, D.; Baker, D. and Christel, D. 2018. Use and perceptions of alternative economic activities among smallholder coffee farmers in Huehuetenango and el Quiché departments in Guatemala. Agroecol. Sustain. Food Syst .43 (3) 1-19 pp. doi:10.1080/21683565.2018.1532480. [ Links ]

Gómez, M. E.; Barradas, P. y Sámano-Rentería, M. A. 2019. Condiciones sociales que caracterizan la multifuncionalidad de la agricultura en México. Campo território: Rev. Geogr. Agrár. 14(32):7-27. https://doi.org/10.14393/RCT143201. [ Links ]

Haggar, J.; Asigbaase, M.; Bonilla, G.; Pico, J. and Quilo, A. 2015. Tree diversity on sustainably certified and conventional coffee farms in Central America. Biod. Conserv. 24(5):1175-1194. doi: 10.1007/s10531-014-0851- y. [ Links ]

Haggar, J.; Soto, G.; Casanoves, F. and Virginio, E. de M. 2017. Environmental-economic benefits and trade-offs on sustainably certified coffee farms. Ecol. Indicators. 79:330-337. doi: 10.1016/j.ecolind.2017.04.023. [ Links ]

Henderson, T. P. 2019. La roya y el futuro del café en Chiapas. Rev. Mex. Sociol. 81(2):389-416. [ Links ]

Ho, T. Q.; Hoang, V. N.; Wilson, C. y Nguyen, T. T. 2018. Eco-efficiency analysis of sustainability-certified coffee production in vietnam. J. Cleaner Production. 183:251-260. doi: 10.1016/j.jclepro.2018.02.147. [ Links ]

Idárraga, Q. Á. y Sánchez R. J. J. 2016. Agricultura familiar ambientalmente sustentable y económicamente sostenible: estudio de caso de la asociación de pequeños productores de café (Asopecam). Estudios de caso desde la multifuncionalidad y su aporte a la paz Bogotá: (Ed.). Universidad Cooperativa de Colombia. 97-120 pp. [ Links ]

INEGI. 2016. Instituto Nacional de Estadística y Geografía. Anuario estadístico y geográfico de Oaxaca 2016. México. . http://internet.contenidos.inegi.org.mx/contenidos/Productos/prod-serv/contenidos/español/bvinegi/productos/nueva-estruc/AEGPEF-2016/702825087357.pdf . [ Links ]

INPI. 2017. Instituto Nacional de los Pueblos Indígenas Etnografía del pueblo Mixe de Oaxaca (ayuukjä'äy). Blog del Instituto Nacional de los Pueblos Indígenas. https://www.gob.mx/ inpi/articulos/etnografia-del-pueblo-mixe-ayuukja-ay#:~:text=Localizaci%C3%B3n,total %20de%204%20668.55%20km2. [ Links ]

Jiménez-Barbosa, W. G.; De la Portilla E.; Zúñiga L. A.; Zambrano D. F.; Rojas J. S. y Delgado, R. A. 2018. Relevo generacional para la continuidad de producción cafetera familiar. Caso municipio de Albán, Nariño-Colombia. Rev. Colomb. Cienc. Soc. 10(1):67-92 doi: https://doi.org/10.21501/22161201.3060. [ Links ]

Kudama, G. 2020. Determinants of fairtrade channel choice and its effect on income of coffee farm households. research square. doi: 10.21203/rs.3.rs-21332/v1. [ Links ]

Läderach, P.; Ramírez-Villegas, J.; Navarro-Racimes, C.; Zelaya, C.; Martínez-Valle, A. and Jarvis, A. 2017. Climate change adaptation of coffee production in space and time. Climatic change 141(1):47-62. Doi: 10.1007/s10584-016-1788-9. [ Links ]

Libert, A. A. y Paz-Pellat, F. 2019. Del papel a la acción en la mitigación y adaptación al cambio climático: la roya del cafeto en Chiapas. Madera y Bosques. 24(esp.):1-24. 2401914. https://dx.doi.org/10.21829/myb.2018.2401914. [ Links ]

Moguel, P. y Toledo, V. M. 1999. Biodiversity conservation in traditional coffee systems of Mexico. Conserv. Biol. 13(1):11-21. doi:10.1046/j.1523- 1739.1999. 97153. X. [ Links ]

Morales, H. J. I.; Méndez, M. L.; Nolasco R. S. P. and Cerón L. M T. 2018. Proposal for the creation of a network of family businesses in the mexican coffee industry. Inter. J. Adv. Eng. Manag. Sci. (IJAEMS). 4(11):773-781. https://dx.doi.org/10.22161/ijaems.4.11.6. [ Links ]

Muñoz, R. C. y Vázquez, G. V. 2012. El Estado neoliberal y las mujeres indígenas: Un estudio de caso de la sierra negra de puebla. Espiral. 19(53):91-121. [ Links ]

Pacheco, A. P.; Palacios, R. M. I.; Cervantes, E. F.; Ocampo, L. J. y Aguilar, Á. J. 2019. La asociación cooperativa como factor de sostenibilidad del sistema cafetalero en comunidades marginadas. Rev. Estudios Cooperativos. 131:125-150. http://dx.doi.org/ 10.5209/REVE.63563. [ Links ]

Paz, P. L. 2018. Mujeres del cafetal en la región central de Veracruz. Aportaciones femeninas a la economía campesina en el colapso de 2013-2017. Argumentos, estudios críticos de la sociedad. 31(86):229-250. [ Links ]

Rabanal Á. J.; Pinglo J. F. M.; Vásquez M. E. E.; Cayo-Colca I. S. y Guivin, G. L. 2019. Análisis del impacto económico de certificación orgánica de café (Coffea arabica) en la cooperativa agraria Alta Montaña- COOPAM- 2018. Rev. Investigación Científica UNTRM. Ciencias Naturales e Ingeniería. 1(2):44-47. [ Links ]

Ramírez G. S. y Nava, T.M. E. 2020. Comercio justo y empoderamiento de pequeños cafeticultores del centro de Veracruz. Agric. Soc. Des. 4(16):477-495. [ Links ]

Renard, H. M. C. y Larroa, T. R. M. 2017. Política pública y sustentabilidad de los territorios cafetaleros en tiempos de roya: Chiapas y Veracruz. Estudios Latinoam. Nueva Época. 40:95-113. [ Links ]

Rodríguez, H. D. M. 2020. Asociacionismo y cambio social en comunidades rurales andinas. Aproximación al caso de los cafeteros colombianos. Rev. Del CESLA. Inter. Latín Am. Studies Review. 25:57-79. https://doi.org/10.36551/2081-1160.2020.25.57-79. [ Links ]

Rodríguez, T. L. E.; Cárcamo, M. R. W. y Álvarez, M. A. 2019. La opción de la producción orgánica ante la crisis del café: el caso de los pequeños productores de Chilón, Chiapas, México. Sociedades Rurales, Producción y Medio Ambiente. 19(37):45-72. [ Links ]

Rosales, M. V.; Martínez, D. J. P.; Osorio, A. F.; López, R. G.; Asiaín, H. A. y Estrella, Ch. N. 2018. Aspectos culturales, sociales y productivos para una tipología de cafeticultores. Agric. Soc. Des. 15(1):47-61. [ Links ]

Ruelas-Monjardín, L. C.; Nava-Tablada, M. E.; Cervantes, J. y Barradas, V. L. 2014. Importancia ambiental de los agroecosistemas cafetaleros bajo sombra en la zona central montañosa del estado de Veracruz, México. Madera y Bosques . 20(3):27- 40. [ Links ]

SAGARPA. 2016. Secretaría de Agricultura, Ganadería, Desarrollo Rural, Pesca y Alimentación. Planeación agrícola nacional 2017-2030. Café mexicano. Ciudad de México. https://www.gob.mx/cms/uploads/attachment/file/256426/b-sico-caf-.pdf. [ Links ]

SIAP. 2019. Sistema de Información Agroalimentaria y Pesquera. Panorama agroalimentario 2019. Sistema de Información Agroalimentaria y Pesquera- Secretaría de Agricultura y Desarrollo Rural. Ciudad de México. https://nube.siap.gob.mx/gobmx-publicaciones-siap/pag/2019/atlas- agroalimentario-2019. [ Links ]

Ticllacuri, M. A. y Wesz, J. V. J. 2020. Análisis económico del cultivo de café en los caseríos de alto Yacusisa y alto Belén (José Crespo y Castillo-Huánuco-Perú). Agronegocios. 6(2):121-136. https://doi.org/10.18845/ea.v6i2.4993. [ Links ]

Valencia, V.; Naeem, S.; García-Barrios, L.; West, P. and Sterling, E. J. 2016. Conservation of tree species of late succession and conservation concern in coffee agroforestry systems. Agr. Ecosyst Environ. 219:32-41. [ Links ]

Vanderhaegen, K.; Akoyi, K. T.; Dekoninck, W.; Jocqué, R.; Muys, B.; Verbist, B. and Maertens, M. 2018. Do private coffee standards ‘walk the talk’ in improving socio-economic and environmental sustainability? global environmental change. 51:1-9. doi: 10.1016/j. gloenvcha. 2018.04.014. [ Links ]

Wagner, S.; Rigal, C.; Liebig, T.; Mremi, R.; Hemp, A.; Jones, M. and Preziosi, R. 2019. Ecosystem services and importance of common tree species in coffee agroforestry systems: Local knowledge of small-scale farmers at Mt. Kilimanjaro, Tanzania. Forests. 10(11):963. doi: 10.3390/f10110963. [ Links ]

Received: March 01, 2021; Accepted: July 01, 2021

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