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.
Journal paper no. 12951 of the Univ. of Nebraska, Agricultural Research Division, Although greater diversity in the agricultural landscape is an important goal, the decisions of individual farmers determine the diversity of crops used in each farming system. Cutforth et al developed and tested an integrated socioeconomic model of farmers' decisions on crop rotations as an indicator of overall crop diversity.
