Sustainable Agriculture Management: Environmental, Economic and Social Conjunctures for Coffee Sector in Guerrero, via Traditional Knowledge Management

Abstract

Early studies on sustainability establish social, economic, and environmental improvement as the ultimate goal worldwide. This is true for nations or companies with significant economic and technological resources that apply indicators, data, and methodologies to manage harmonious, sustainable development; however, little is known about the management, integration, and measurement of unified social, economic, and environmental dimensions to achieve sustainable actions for agriculture. Therefore, under a qualitative-quantitative approach combining the knowledge management paradigm, sustainability criteria, and the log-linear statistical test, this paper investigates actions for sustainability around planting–harvesting–first disposal of the coffee circuit based on the tacit-explicit traditional knowledge of 55 members of its productive ecosystem from Guerrero, Mexico. The results show a statistical integration between environmental, economic, and social data with 0.000 (p < 0.05); a partial association on its effects with 0.209, 0.068, and 0.000, respectively (p > 0.05); the creation of on-site banks, training and assistance, and a state network for exchanging experiences as the conjectural actions that can show effects with 0.002, while the remaining were over >0.05 (p > 0.05). Governments, organizations, and researchers could extrapolate the model for sustainable agriculture management in the coffee-growing regions and for other crops.