Factors Affecting Adoption of Recommended Cauliflower Production Technology in Nepal

Abstract

Binary logit regression model of econometrics was used to identify the factors affecting adoption of recommended agricultural technology by the commercial farmers of Nepal. A survey was carried out in 2012 in 120 households from Kavre district, Nepal. The objective was to appraise factors affecting adoption of recommended technology of cauliflower, finding out the level of adoption, identifying the constraints of cauliflower cultivation, assessing the perceived level of satisfaction and studying the relationship of certain selected variables on the adoption. Education, Occupation, contact with Personal Localite sources of information, Group membership and Experience were the most influencing factors for adoption of recommended technology. Though, other factors were not strong enough to contribute significantly but indirectly influence the adoption decision of farmers as combined effects. Occupation was found as negatively associated. Landholding size was strongly and positively influencing among the non significant factors. The level of satisfaction and the constraints of cauliflower production were also identified. Transfer of technology will be effective if and only if the client adopts the technology. For an effective transfer of technology, it is better to go for activities for the welfare of the socioeconomic factors of the farmers.

Technological priorities in rice production among smallholder farmers in Ghana

“…This implies that rice farmers who were educated as well as had adequate information and available complementary inputs were in the best position to decipher information and comprehend the economic incentiveshigher yields, increased profits, and greater sustainabilityof improved rice varieties, leading to adoption. The findings are consistent with previous studies (Dhital and Joshi, 2016;Ghimire et al, 2015;Mittal, and Mehar, 2016) that found education, farm size, extension services and seed access to influence the adoption of improved technologies.…”

“…Several farm, farmer, and socio-economic characteristics have featured extensively in both the theoretical and empirical literature in explaining farmers' adoption decisions. Farmer's age, farm size, education, on-farm/off-farm income, extension contact, and access to credit have been found to be significantly related to the adoption of agricultural technologies (Dhital and Joshi, 2016;Ghimire et al, 2015;Mittal and Mehar, 2016;Simtowe et al, 2016). However, most existing studies have limited the measurement of smallholder farmers' adoption choice to a single technology, such as an improved variety or fertilizer (Ghimire et al, 2015;Simtowe et al, 2016) while only a few studies have focused on two or more technologies (Abay et al, 2016;Mittal and Mehar, 2016;Yirga et al, 2015).…”

Factors influencing adoption of major post-harvest handling practices of large cardamom in Nepal

“…Experience of large cardamom had positive impact on improved drying (p <0.1) and curing (p <0.05) whereas it had negative impact on cleaning (p <0.1) and grading (p <0.05). Farming experience was found to be positively associated with adoption of new recommended practice (Dhital & Joshi, 2016). Ekepu and Tirivanhu (2016) reported that farming experience showed no significant effect on adoption decisions of agriculture technologies.…”

“…Many literature showed the positive relationship of membership in any organizations and farmers decision to adopt new technologies (Dhital & Joshi, 2016;Katungi & Akankwasa, 2010;Subedi et al, 2019). Farmers in group tend to come together with a commitment and with sense of direction and plan for the future.…”

“…Training received was positive and significant impact on adoption of cleaning (18.4% at p <0.001) and grading based on color and size of large cardamom capsules (24.2% at p <0.001) whereas negatively and significant effect on curing (25.1% at p <0.001). Positive and significant influence of the frequency of contact of farmer with personal localite source of information on adopting the recommended technology (Abunga et al, 2012;Ayalew, 2003;Dhital & Joshi, 2016;Ekepu & Tirivanhu, 2016). Good extension contacts for the farmers influences the level of technology dissemination and adoption.…”