Archive/Sustainability and Family Farming Systems: A Mixed-Methods Analysis from a Small Island Developing State
Sustainability and Family Farming Systems: A Mixed-Methods Analysis from a Small Island Developing State
Gilkson Tiny, Maria Raquel Lucas, Ana Marta-Costa et al.
3. Juli 2026
en

Abstract

This study analyses the economic performance, sustainability, and resilience of family farming systems in São Tomé and Príncipe, using an approach that combines quantitative and qualitative data. Primary data were collected through a survey of 50 rural families from the seven districts of the country, focus group discussions, and field observations. Quantitative analysis included descriptive statistics and exploratory comparative procedures, complemented by economic evaluation, while thematic analysis examined the qualitative data. The findings reveal diversified agroforestry systems, integrating up to 33 crops and small-scale livestock production. At the individual and aggregate levels, agroforestry shows viable economic performance, with a net profit margin of 57.4%, capable of generating income and marketable surpluses. This improves rural livelihoods, strengthens resilience to climate and market shocks, and supports both subsistence and market-oriented production. Despite these strengths, structural constraints persist, including fragile value chains, limitations in access to credit and markets, low technology adoption, and climate vulnerability. Human capital, particularly education, emerges as a key factor in improving productivity and value creation. Integrated policies on access to resources and education are needed to promote diversification, multi-activity, and market integration as central strategies for increasing sustainability, food security, and risk reduction in family farming.

IPC Classification

G06A01

Keywords

sustainabilityfamilyfarmingsystemsmixed-methodsanalysissmallislanddevelopingstateanalyseseconomicperformanceresiliencencipeapproachcombinesquantitativequalitativedataprimarycollectedthroughsurvey
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