25 pages., The study adopted survey research design. The population of the study consisted 1200 respondents comprising (staff of the Zamfara State Agricultural Development Project, FADAMA III Project, IFAD, Animal rearers and Farmers). Instruments of data collection used for the study were the questionnaire, interview and discussions. One thousand two hundred questionnaires were distributed to respondents and only 988 (82.2%) were dully returned and found usable. The results of the responses were interpreted using simple percentage and frequency tables. The findings of the study include, that 95% of Zamfara State population are farmers, Maru and Gusau Local Government Areas recorded the highest farmers’ population. It was also discovered that there was a high rate of awareness of climate change information in the State with Radio, Television, extension services as major sources of climate change information in the State. It was also discovered that farmers in the State utilize climate change information like taking decisions on what and when to plant, planting improved crop varieties among others. There is also the challenges of reduction in annual rainfall, deforestation, insect-pests attack, high temperature among others. Recommendations were made for intensified awareness campaign on climate change, increased budgetary allocation to the agricultural sector for more mitigation and adaptation capacity for the farmers.
35pgs, The idea that citizens' support for environmental policies depends on their economic interest and the community that one lives in, has been debated extensively in the environmental attitudes literature. However, this literature has not differentiated between separate policy dimensions that concern measures that affect specific groups in different ways. This paper differentiates between a nature/agriculture dimension that divides those who prioritize the agrarian interest from those who prioritize the protection of nature and a climate/energy dimension that divides those who prioritize industrial interest from those who prioritize fighting climate change, using a new survey in the Netherlands (N = 11,327). This two-dimensional model meets three criteria: scalability, validity, and utility. Scalability is shown by factor analysis and Mokken scaling. Validity is shown by regression analyses that show that whether one lives in a rural or an urban community predicts one's position on the nature/agriculture dimension and that one's financial security predicts one's position on the climate/energy dimension. The utility is shown by regression analyses where the two dimensions are used to predict voting behavior. The Green Party voters favor nature and climate protection, the Liberal Party voters have the opposite views, the Christian-Democrats favor agricultural interests and the Freedom Party favor industrial interests.
9 pages, To understand environmental conditions Pennsylvania agricultural producers had observed in the past and what their environmental concerns were for the future, we conducted a statewide survey. We used Spearman rank order correlations to show differences between past observations and future concerns regarding environmental conditions and found a disconnect between what respondents previously had observed and their anticipations for the future. Additionally, we used chi-square analysis to determine whether perspectives on environmental conditions were related to producer demographic characteristics. Two demographic variables were significant: generation of farmer and political affiliation. Our findings can assist Extension professionals in developing programs tailored to target audiences' environmental perceptions and demographics.
