2014
DOI: 10.5296/rae.v6i4.6121
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Determinants of Choice of Climate Change Adaptation Strategies in Northern Ghana

Abstract: This paper used binary logistic regression model to analyze factors that affect the choice of climate change adaptation strategies of farmers in Northern Ghana. Using semi-structured questionnaires, 155 farmers were randomly sampled from purposively selected three Northern Regions in Ghana. The empirical results of the binary logistic regression models revealed different effects of the factors on farmer's choice of adaptation strategies. Farming experience, farm income, access to phones, mixed farming, farmers… Show more

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Cited by 83 publications
(87 citation statements)
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“…Results indicate that with respect to climate change from a crop husbandry point of view, a majority of rural farmers resort to: changing crop varieties (77%), intercropping (69%), staggering planting dates (69%), supplementary irrigation (62%), use of compost and fertilizer (80%) and shifting cultivation (60%). Similar comparable results are reported in literature [6]- [13]. To enhance these strategies access, size and ownership of arable land may be an important factor.…”
Section: Resultssupporting
confidence: 80%
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“…Results indicate that with respect to climate change from a crop husbandry point of view, a majority of rural farmers resort to: changing crop varieties (77%), intercropping (69%), staggering planting dates (69%), supplementary irrigation (62%), use of compost and fertilizer (80%) and shifting cultivation (60%). Similar comparable results are reported in literature [6]- [13]. To enhance these strategies access, size and ownership of arable land may be an important factor.…”
Section: Resultssupporting
confidence: 80%
“…The following adaptation strategies are reported in literature: changing crop varieties, intercropping, staggering planting dates, integration of on-farm and off-farm livelihoods activities, supplementary irrigation, use of water conservation techniques/water harvesting [6], agro-forestry, use of compost and fertilizers, destocking, fallowing [13], shifting cultivation, crop-livestock and livestock-crop switching, shading and shelter, use of insurance and use of livestock species that are more suited to drier conditions [4]- [15].…”
Section: Literature Reviewmentioning
confidence: 99%
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“…For such a dichotomous outcome, the inferential statistical analysis used for this study is a logistic model (Mabe et al, 2014). The effect of X on the response probabilities, P(y = j/x) can be estimated by using binary logit model which is expressed as: P The logit regression equation, that is used to ascertain variables influencing youth understanding level of climate change, is:…”
Section: The Empirical Modelmentioning
confidence: 99%
“…Although smallholder farmers are likely to be seriously affected by the effects of climate change owing to their lack of capacity to adequately adapt, research shows that only a minority of them take advantage of adaptation options (Fosu-Mensah et al, 2012). As such, a clear understanding of the factors that influence farmers' adaptation decisions is essential to the designing of appropriate policies to promote effective adaptation in the agricultural sector (Mabe et al, 2014).…”
Section: Introductionmentioning
confidence: 99%