4.4 Article

Relevant drivers of farmers' decision behavior regarding their adaptation to climate change: a case study of two regions in Cote d'Ivoire

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Publisher

SPRINGER
DOI: 10.1007/s11027-013-9486-7

Keywords

Adaptation behavior; Climate change; Smallholders; Categorical principal component analysis; Logistic regression; Cote d'Ivoire

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In addition to many other stressors, climate change has emerged as one of the major threats for smallholder farmers from Toumodi in the center and Korhogo in the north of Cote d'Ivoire. This study examined farmers' adaptation behavior with respect to subjective, socio-demographic, institutional, and physical variables. Focus group discussions with 205 farmers and large-scale surveys involving 800 farmers' households were conducted in both study areas for data collection. The data were analyzed using a categorical principal component analysis (CATPCA), reliability analyses, and binary logistic regression models to determine relevant influences on farmers' adaptation behavior. The results revealed that 77% of farmers perceived high increases in temperature and 75% perceived strong decreases in rainfall over the last 10 years. Farmers in Toumodi perceived more climate change than their colleagues in Korhogo. In addition, farmers from Korhogo perceived more new pests (81%) and new weeds (87%), while those from Toumodi agreed that there were strong changes in flowering and fruiting times (54%). Furthermore, two main adaptation groups were identified: changes in the sowing management and the technical itinerary. The levels of implemented strategies differed significantly across regions. Factors such as the perceived occurrence of new pests and insects and support from national and international organizations were relevant to farmers' decision to adapt to climate change. Moreover, the agro-ecological specificities, the types of food crops, and the owners of livestock had also an influence on farmers' adaptation choices. The appropriate policy response should henceforth integrate these factors to support efficient adaptation processes in response to climate change in Cote d'Ivoire.

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