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.
15 pages, This paper studies Chinese grape growers’ time discounting and its implications for the adoption of technology that can reduce the negative effects of increasing precipitation. Using primary data collected in Xinjiang Province, we undertook a contingent valuation of rain covers that protect fruit from rain and estimated a discounted utility model using these data. Using a hierarchical Bayesian approach, we find that local grape growers discount the future very heavily, with a discount rate of 0.17 per year, which is almost four times higher than the Chinese market interest rate. Farmers also tend to underestimate the benefits of adopting covers, with their purchase decisions appearing to largely depend on their past actual losses rather than future anticipated losses. These findings have broader implications for policies promoting proactive adaptation in response to likely increased rainfall in the region. Targeting farmers who give lower weight to events far off in the future and understanding that many farmers may tend only to make adoption decisions that have strong short-term benefits could improve the efficacy of climate policies that target agricultural technologies.
