10 pages, This research endeavor, conducted in year 2019-20, explores farmers’ perception regarding
climate change and the impacts of socioeconomic indicators affecting these perceptions in
district Mardan, KP-Pakistan. For this purpose, total of 140 sampled respondents, seventy
from each village were selected for primary data collection. Ordered probit model was used to
quantify the determinants of climate change perception. Demographic characteristics revealed
that average age of the respondents was 44.42 years, with average schooling, household size,
farming experience and farm size of 7.73 years, about 9.96 members, 27.90 years and 3.1
acres, respectively. The study findings indicated that age, education, household size, farming
experience, total income and nature of land significantly (p < 0.05) affect farmers’ perception
of climate change specifying that younger farmers perceive climate change impacts more as
compared to older farmers, while experienced were more likely to perceive than inexperienced.
Educated farmers perceived changes in climate more than less educated or uneducated. Small
holders perceived more than big landlords, rain-fed farm holders perceived more than irrigated
farm holders, high income farmers perceived more than low income farmers, owners perceived
more than owner-cum tenants and tenants and small families perceived more than big families.
The study recommended climate change awareness programs through government and nongovernment organizations, i.e. education programs, farmer field schools (FFS), agricultural
extension agencies to bridge the farmer- research gap, government role in realistic land reforms,
establishment of farm services centers (FSCs), climate information centers and diversify farm
income opportunities.
18 pages, The purpose of this study was to assess the knowledge level of farmers on basic computer literacy, social media use, and to explore which social and demographic factors affected their knowledge capacity. The study had a final sample of 176 participants from the northern, southern and central regions of Trinidad and Tobago. A survey instrument comprising of 14 multiple-choice questions with one accurate response was developed to decrease bias of farmers randomly selecting the accurate response. The questions addressed knowledge on basic computer and social media literacy. Analysis was conducted using one-way ANOVA with post-hoc testing. Results indicated that there were significant differences in farmers’ performance in the knowledge test based on characteristics such as age, education, and household use of social media and the internet. Based on the findings, minimal training in computer and social media literacy did not impede the farmers’ use of the computer or social media. These discoveries highlight the potential of extension programs using the internet and social media applications to improve communication efficiency among agricultural stakeholders within farming communities.
