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.
12 pages, We use the 2013 cotton precision farming survey data to study the adoption of irrigation technologies by cotton farmers in 14 states of the United States. We find that farmers with a higher irrigated yield, and who are from the Southern Plains (Texas and Oklahoma), adopt water-efficient irrigation technologies, such as sub-surface drip and trickle irrigation technologies. There are 10 irrigation technologies that farmers can adopt for cotton production in these 14 cotton-growing states. The intensity of the irrigation technologies, as measured by the number of irrigation technologies adopted in cotton production, is affected by the irrigated cotton yield realized, land holding (total land owned), education, computer use, and the origin of the cotton farmer being from the Southern Plains. We use a multivariate fractional regression model to identify land allocation by the different irrigation technologies used. Our results indicate that significant variables affecting land allocation with different irrigation technologies are the age of the operator, the cover crop, the information sources used, the per acre irrigated yield, the education, and the cotton farmer being from the Southern Plains.
Parents shape children's social choices through their social and economic actions. Parental social participation connects children to a civic culture and encourages involvement in civic groups. Parents' ties to farming in farm-dependent communities furuther enhance children's civic orientations by providing added opportunities and incentives for social participation. Data from Iowa Youth and Families Project confirm these hypotheses, showing that the children of farmers and of rural leaders are more likely to participate in civic groups. These results establish parental social involvement as a source of social capital and demonstrate the importance of farm incluences for understanding the social involvement of youth in rural society.
21 pages, Multiple dynamics jointly determine who we befriend, however, researchers have failed to systematically assess which processes matter most under different circumstances. Here I draw on observations around how the demands of paddy rice cultivation shape social interaction to demonstrate that the relative importance of reciprocity, transitivity and generalised exchange to who rice producers choose as friends varies with the amount of agricultural land under their control. In doing so, I use unique data on farm size and friendship amongst 4713 rice-growing smallholders in 162 rural villages in Jiangxi, China along with a new technique for measuring the relative importance of effects in Stochastic Actor-Oriented Models. In line with the micro-level component of the recently advanced “theory of network ecology”, results suggest that features of an individual’s proximal environment can powerfully moderate the relative expression of network-formation mechanisms such that for some individuals, a dynamic may be expected to hold substantial sway over the process of choosing social contacts and, for others, no sway at all.
