AGRICOLA IND 92004221, County agents receive cost of production information primarily from state extension services and then disseminate it to agricultural producers. A survey gathered data on agent usage of this information. A Poisson regression analysis using count data was performed to determine the factors influencing the number of times county agents directly referred to published cost of production (enterprise budget) information in a year. The agent's understanding of budget information use in management decisions, the availability of budgets, and his/her receiving the budgets in multiple forms (e.g., sheets, booklets, or software) had significant positive impacts on the use of budgets by the agent. (original)
8 pages., Via Science Direct., This paper aims to use a comprehensive modeling framework to investigate the intention of Iranian livestock producers to deploy renewable energies on their farms to mitigate climate change. A survey was conducted in southern Iran using a random sample of farmers (n = 140). Structural equation modeling showed that attitude, moral norm, subjective norm, and perceived behavioral control are significant predictors of farmers' intention to use renewable energies. Attitude was determined by positive affect and perceived benefits, and moral norm was determined by perceived benefits, perceived cost, and outcome efficacy. The findings not only have public policy implications for promoting the use of renewable energies by farmers in Iran, but also contribute to the literature on environmental psychology, renewable energy, and pro-environmental behavior in a non-Western country.