Determinants of the Dairy Technology Adoption by the Rural Milk Producers in District Muzaffarabad, Azad Jammu and Kashmir

Abstract

D airy development is considered an influential factor in eradicating poorness and creating prosperity in the developing world. Livestock comprises 30% of the agricultural Gross Domestic Product (GDP) within the developing world, while about 40% of the worldwide agricultural GDP, is one amongst the fastest growing subsectors in agriculture (FAO, 2009). Dairy farming is considered a key instrument for improving the financial conditions of farmers in several countries. It is not simply a helpful source of balanced diet and income but is a path for asset accumulation (Sharon, 2011). Besides Abstract | The adoption of dairy technology has a direct impact on the socio-economic development of rural milk producers as milk production has a significant contribution to sustainable rural livelihoods. For this purpose, the present research was conducted to determine the socio-economic factors that influence the rural milk producers in the adoption of dairy technology. A survey was carried out in district Muzaffarabad of Azad Jammu and Kashmir by selecting 8 villages purposively, based on the average number of livestock population i.e 2-3 heads per household, for dairy production. A structured and pretested interview schedule was used to collect the primary data from randomly selected 333 respondents. For analysis of data descriptive statistics and binary logistic model was used through the Statistical Package for Social Sciences (SPSS) and STATA. Information about dairy practices was studied and percentages recorded, about 70% of the farmers were aware of artificial insemination and vaccination while at least 51% was reported about livestock management. Improved feeding was very active as 70% of farmers were well informed followed by breed status recorded by 70% of the farmers. Demographic results showed that 63% of respondents were literate with an average age of 51 years and farming experience of upto 11 years. Results from the binary logistic model indicate that number of family members, farm knowledge, accessibility of extension services, gender, credit access, farm size, farming experience, and crossbreeds' availability had a positive association with dairy technology adoption, while age and market distance had a negative association. According to the study results, it is concluded that the adoption of technology depends on their socio-economic conditions. Hence, it is suggested that the administration should encourage a deliberate strategy in building farmers' awareness regarding dairy technology through trainings, demonstrations, field visits, and experience sharing at different levels. The government should provide credit facilities to the farmers in consideration of their socio-economic conditions.

Determinants of Adoption of Improved Dairy Technologies: The Case of Offa Woreda, Wolaita Zone, Southern Ethiopia

“…As men gain more information, they make decisions on valuable assets such as land, labor, and capital, all of which are necessary for adoption. is finding is consistent with those of Akudugu et al [51] and Abbasi & Nawab [52], who discovered significant gender effects on technology adoption in Ghana.…”

“…e findings are consistent with those of Abbasi and Nawab [52], and Quddus [49], who discovered that the adoption of dairy technology is favorably associated with participation in off-farm activities.…”

“…is judgement is consistent with the writing that small farmers are more hesitant to accept new ideas than large farmers [27,52,[54][55][56]. According to the studies in [57,58], a large family size can alleviate labor restrictions and is likely to have a beneficial impact on the decision to use dairy technology.…”

“…In comparison, nonadopters had 36 (41.4%) and 27 (31%), respectively, indicating that education had no significant effect on dairy activity. According to Cicek et al [53] and Abbasi & Nawab [52], the educational level influences the adoption of scientific innovation in dairy cattle breeding.…”

Determinants of Small-Scale Irrigation Use for Poverty Reduction: The Case of Offa Woreda, Wolaita Zone, Southern Ethiopia

“…Female-headed families, according to the literature cited in Astetkei [44], have less access to improved technologies, land, and extension than male-headed households. is nding is similar to those of Akudugu et al [45] and Abbasi and Nawab [46], who both discovered signi cant gender di erences in technology adoption in Ghana.…”