pgs. 559–574, Via online journal, The aim of this paper is to assess the eco-efficiency of dairy farms in Spain. To do so, we use data from a survey carried out in 2010 for the specific purpose of analysing the environmental performance of 50 dairy farms in the Spanish region of Asturias. The survey contains information on nutrients balances and greenhouse gas emissions which is used to calculate environmental pressure indicators. Eco-efficiency is measured using data envelopment analysis. We analyse the influence of farmers’ socio-economic characteristics and attitudes in explaining these eco-efficiency scores using truncated regression and bootstrapping procedures. On average, the dairy farms are found to be highly eco-inefficient. Among our results, farmers that are younger, that plan to continue in operation in the foreseeable future and that participate more in training schemes are found to be more eco-efficient. Self-reported positive environmental habits are also reflected in actual eco-efficient performance. We quantify these potential gains in eco-efficiency through a simulation analysis based on the estimated model’s coefficients.
16 pages., Online via UI e-subscription, Using fieldwork and in-depth-interviews with key informants, researchers examined how two groups (landowner group and citizen group) framed their arguments involving proposed sale of water from this aquifer. The citizen group was found more articulate in opposing the sale of water to the broader public. Findings also suggested that the framing strategies used by both groups served to escalate community dissension and therefore limit opportunities for resolution.
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.
