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Exploring Gender Preferences in Farming System and Tree Species Selection: Perspectives of Smallholder Farmers in Southern Philippines
Author(s) -
Joan U. Ureta,
Kharmina Paola A. Evangelista,
Christine Marie D. Habito,
Rodel D. Lasco
Publication year - 2016
Publication title -
journal of environmental science and management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.156
H-Index - 9
ISSN - 0119-1144
DOI - 10.47125/jesam/2016_sp1/05
Subject(s) - agriculture , promotion (chess) , food security , business , agroforestry , investment (military) , context (archaeology) , analytic hierarchy process , tree (set theory) , selection (genetic algorithm) , agricultural science , agricultural economics , natural resource economics , geography , economics , political science , biology , computer science , mathematics , mathematical analysis , archaeology , mathematical economics , artificial intelligence , politics , law
Although agroforestry has been promoted in the Philippines through various programs and policies, the adoption of this practice is slower than expected. Determining the underlying reasons for the slow and declining adoption of agroforestry is vital, especially within the combined context of food insecurity, agricultural intensification and climate change. Using Analytic Hierarchy Process (AHP), this study identified the selection criteria and the priority farming systems and tree species of smallholder farmers in Lantapan, Bukidnon. Findings showed that financial benefit was the main consideration of both male and female farmers for crop selection along with other aspects of well-being (i.e. regulatory services, food security). Results indicated that both groups perceived crop-based farms as more beneficial than tree-based farms. In terms of tree species, women preferred plantation crops and timber trees, while men favored fruit trees. These results showed that it is important to ensure that promotion of agroforestry will translate to tangible economic benefits for farmers. The criteria identified will serve as inputs for crafting a gender-sensitive co-investment scheme to support the promotion of climate-smart, tree-based agriculture in the area. Funds generated from this scheme could compensate farmers for the opportunity costs of shifting gradually to tree-based farming systems.

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