A field survey was conducted to study the factor that determines farmers’ decisions to adapt to climate change in Deurali and Agyouli V.D.Cs of Nawalparasi District. Altogether 180 household, 90 from each V.D.C were selected randomly for the study. A logit regression model was employed in the study. However, in order to measure the magnitude of the impact of the explanatory variables on the decision of the farmer to adapt to climate change marginal effects were computed. The study uses a binary dependent variable taking the value 1 if the farmer adapted to climate change and 0 otherwise. A farmer is considered to have adapted to climate change if he/she has employed at least one of the adaptation strategies such as early and late planting, use of drought resistant crops, zero tillage operation, crop diversification, use of mulching and composting of weeds to control water loss and conserving moisture in the field. This current research considers the following as potential factors determining farmers’ decisions to adapt to climate change; economically active members, education of the household head, farm size, annual cash earnings, access to credit, training and extension. Findings reveal that these factors influence farmers’ decisions to adapt to climate change in Nawalparasi District and marginal effects computed showed that per unit increase in these variables increased the probability of practicing different adaptation strategies by 4.3%, 31.4%, 3%, 1.5%, 17%, 66% respectively. The log likelihood was computed to be -43.45. Psuedo. R2 was calculated to be 39%.
This research was conducted in the Ramechap and Dolakha regions of Nepal to analyze the role of AFEC in the adoption of SSMP technology. A total of 120 samples were randomly collected from 4 VDC, namely Sindrawoti, Chisapani, Namdu and Puranogaun. Both qualitative and quantitative information were collected using a semi-structured questionnaire, household survey, important informative interview and focus group discussion. As a result of the study, it was found that the effectiveness of these committees was very important in participatory planning, resource mobilization and agriculture service presentation. Participation of farmers in local level planning is significantly higher in village development committee (VDC) with AFEC (73.3%) than VDC without AFEC (43.3%). AFEC farmers have begun to receive technical service with 2.84 index values compared to farmers without AFEC. The average adoption level is significantly higher in VDC with AFEC (43.69% household(HH)) than with non-AFEC (11.78%). According to the Logit regression model, HH development training and the presence of AFEC were statistically significant in determining the adoption of SSMP technology. ÖZET Bu araştırma, AFEC'in SSMP teknolojisinin benimsenmesindeki rolünü analiz etmek için Nepal'in Ramechap ve Dolakha ilçelerinde gerçekleştirildi. Toplam 40 örnek, 4 VDC'den, yani Sindrawati'den ve Chisapani Namdu, Puranogaun'dan rasgele toplanmıştır. 2 VDC'deki bu 4 VDC'nin içinden AFEC kuruldu. Hem nitel hem de niceliksel bilgi yarı yapılandırılmış anket kullanılarak hanehalkı araştırması, önemli bilgilendirici görüşme ve odak grup tartışması ile toplanmıştır. Çalışmadan, katılımcı planlama, kaynak seferberliği ve tarım hizmeti sunumunda bu komitelerin etkinliğinin son derece önemli olduğu ortaya çıkmıştır. Çiftçilerin yerel düzey planlamasına katılımı AFEC'li VDC'de (% 73,3) AFEC'siz VDC'lere (% 43,3) göre anlamlı derecede yüksektir. AFEC'li çiftçiler, AFEC'siz çiftçilere kıyasla 2.84 endeks değeri ile teknik servis almaya başlamıştır. Ortalama benimseme düzeyi AFEC'li VDC'lerde (yüzde 43.69 HH), AFEC olmayan VDC'ye (yüzde 11.78) göre anlamlı derecede yüksektir. Logit regresyon modeline göre HH geliştirme eğitimi ve AFEC varlığı SSMP teknolojisinin benimsenmesinin belirlenmesinde istatistiksel olarak anlamlı bulunmuştur.
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