Diversidad agroalimentaria: estrategias de reproducción campesina en economías de autosubsistencia en Los Altos de Chiapas, México
Abstract: Objective: To analyze the contribution of family agriculture in the construction of peasant food strategies as a response to socio-productive problems in communities in the municipalities of Tenejapa and San Juan Cancuc, in the Tseltal region of Chiapas’ Highlands. Methodology: The research is a case study that serves to characterize the strategies of social reproduction in a rural self-subsistence economy. The data were obtained through qualitative research techniques, including interviews, field visits, analysis of corn, coffee, honey and vegetable production systems, and focus group discussions. Results: It can be highlighted that agro-food diversity is the main strategy for social reproduction among self-subsistence farmers and that the most valued assets are land and production techniques, as well as the multifunctional nature of agriculture. Limitations: The study and its method can be a reference for analysis of social reproduction strategies in peasant families of indigenou
- Weitere Titel
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Agro-food diversity: strategies of peasant reproduction in self-subsistence economies in Highlands of Chiapas, Mexico
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Spanisch
- Anmerkungen
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Veröffentlichungsversion
begutachtet (peer reviewed)
In: Estudios Sociales: Revista de Alimentación Contemporánea y Desarrollo Regional ; 32 (2022) 59 ; 1-27
- Klassifikation
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Landschaftsgestaltung, Raumplanung
Sozialwissenschaften, Soziologie, Anthropologie
- Ereignis
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Veröffentlichung
- (wo)
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Mannheim
- (wer)
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SSOAR, GESIS – Leibniz-Institut für Sozialwissenschaften e.V.
- (wann)
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2022
- Urheber
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Alcazar-Sánchez, Jesús Geovani
Gómez-Martínez, Emanuel
- DOI
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10.24836/es.v32i59.1184
- URN
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urn:nbn:de:101:1-2406270918082.921815978793
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:46 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Alcazar-Sánchez, Jesús Geovani
- Gómez-Martínez, Emanuel
- SSOAR, GESIS – Leibniz-Institut für Sozialwissenschaften e.V.
Entstanden
- 2022