Abstract:The risks posed by climate change to Sub Saharan Africa's (SSA) smallholder fresh export fruit and vegetables production are amplifying the significance of farmers' climate change perceptions in enhancing adoption of suitable adaptation strategies. Production of fresh export fruit and vegetables in Kenya has increasingly been done under the Global-GAP standard scheme by smallholder farmers to improve both environmental conservation and market access. The objective of this study was to determine the effect of Global-GAP policy on climate change perceptions of smallholder French beans farmers. The analysis was based on data collected from a random sample of 616 households interviewed in the Central and Eastern regions of Kenya. The study used principal component analysis (PCA) to extract farmers' key prevailing climate change perceptions and logit regression model to examine the effect of Global-GAP policy on climate change perceptions among other socio-economic factors. The PCA analysis extracted three components proxying for 'droughts', 'delay in rainy seasons', 'diseases and pests' and three proxying for 'hot days', 'floods', and 'diseases and pests' as summarizing maximum variance in the perceptions in the Central and Eastern region respectively. The common, study area-wide climate change perception was identified as incidence of diseases and pest. Logit regression analysis found that Global-GAP policy significantly influenced and improved farmers' probability of perceiving climate change. Other factors found to influence farmers' probability of having the identified climate change perceptions included regional specificity, access to agricultural extension service, access to credit, plot size, and soil fertility. The policy implication of this study is that the government and service providers should mainstream factors like Global-GAP compliance and regional considerations found to improve probability of perceiving climate change in awareness creation extension strategies, towards enhancing adoption of adaptation measures in the smallholder fruits and vegetables farming sector.
This study analyzed the role of Global-GAP policy, on smallholder French beans farmers' climate change adaptation strategies in, fruit and vegetables farming. It considered: (1) the prevailing adaptation strategies used by the farmers; (2) regional differences in the farmers' adaptation strategies; and (3) how Global-GAP policy influence the farmers' decisions on the use of adaptation strategies. A total of 616 French beans growing households were randomly selected from Central and Eastern regions of Kenya and data collected through semi-structured questionnaire. Principal Component Analysis (PCA) and a logistic regression model were used to analyze the data. PCA results showed that, the French beans farmers' prevailing adaptation strategies were soil conservation, water harvesting, off-farm employment, leasing out of land, changing crop variety, irrigation and livestock rearing. The common study area-wide adaptation strategies to climate change were found to be, soil conservation and leasing out land. The empirical results of the logistical model showed that, Global-GAP policy compliance significantly and positively increased the probability of the farmers to undertake changing crop variety, water harvesting, finding off-farm jobs and soil conservation as adaptation strategies to climate change. The policy implication of this study is that, government and service providers should mainstream such factors as Global-GAP compliance and regional considerations which enhance the probability of adopting adaptation strategies to climate change related projects and programmes in the smallholder fruits and vegetables farming sector.
This data article provides the datasets that are used in the holistic ex-ante impact evaluation of an irrigation dam construction project in Northern Ethiopia [1]. We used an expert knowledge elicitation approach as a means of acquiring the data. The data shared here captures all the parameters considered important in the impact pathway (i.e. the expected benefits, costs, and risks) of the decision to construct an irrigation dam. The dataset is disaggregated for two impact pathway models: one complementing the dam construction with catchment restoration and the other without catchment restoration. Both models are scripted in the R programming language. The data can be used to examine how the construction of an irrigation dam affects the incomes as well as the food and nutritional status of farmers that are affected by the intervention.
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