Socioeconomic analysis of cocoa (Theobroma cacao L) agroforest in a tropical dry forest

Jesús-Geovanny Solarte-Guerrero, William Ballesteros-Possú, J. F. Navia
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Abstract

The characterization of production systems is important to determine limitations and potentialities that allow their management. This type of diagnosis has not been carried out in the study region; therefore, there is no information on cocoa-based agroforestry systems. Therefore, traditional cocoa farms in the municipality of Los Andes, department of Nariño (Colombia), were social and economically characterized. Basic information was reviewed and a semi-structured survey was applied to a stratified random sample of 60 cocoa farmers. Eighteen qualitative and 20 quantitative variables were analyzed simultaneously with multiple correspondence analysis (MCA) and principal components analysis (PCA). In the PCA, five components explained 58.7% of the variability. The variables with the highest contribution were farm area, income from cocoa yields, income from agricultural production other than cocoa, and family labor. In the MCA, 11 components explained 58.43% of the variability. The most important components were farmers' schooling, transport type, loans, marketing, technical assistance, gender, land tenure, production systems, roads, and domestic animals. Finally, topographic and climatic conditions, inadequate roads and marketing of cocoa and the low adoption of technologies limit the competitiveness of the cocoa farms, hence the need to create favorable conditions to enhance the potential of cocoa agroforests.
热带干旱林可可混交林的社会经济分析
生产系统的特征对于确定其管理的局限性和潜力是很重要的。这种类型的诊断尚未在研究地区进行;因此,没有关于以可可为基础的农林业系统的资料。因此,Nariño省(哥伦比亚)洛斯安第斯市的传统可可农场具有社会和经济特征。对基本信息进行了回顾,并对60名可可种植者进行了半结构化调查。采用多重对应分析(MCA)和主成分分析(PCA)对18个定性变量和20个定量变量进行分析。在主成分分析中,五个分量解释了58.7%的变异。贡献最大的变量是农场面积、可可产量收入、可可以外的农业生产收入和家庭劳动。在MCA中,11个分量解释了58.43%的变异。最重要的组成部分是农民的学校教育、交通方式、贷款、营销、技术援助、性别、土地使用权、生产系统、道路和家畜。最后,地形和气候条件、道路和可可销售不足以及技术采用率低限制了可可农场的竞争力,因此需要创造有利条件以提高可可农林的潜力。
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