Crop insurance is an appropriate way to overcome the risk in agricultural production sector and increase farmer’s peace of mind for their future income. In the agricultural sector of Kohgiluyeh and Boyer Ahmad, the risk of production is high due to the substantial losses of crops and other diseases and so is the income risk. Since most local farmers have low incomes and livelihoods, natural dis...

The impact of climate change does not only affect the production aspects but also on household income and other socioeconomic aspects. The research aims to determine the household economic behaviors of rice farmers in decision-making with relation to the production risks due to climate change and determine the farmer’s adaptation strategies in the face of climate change. The approach taken is t...

Drought events in the Mediterranean are likely to increase in frequency, duration and intensity due to climate change, thereby affecting crop production. Information about drought is valuable for river basin authorities and the farmers affected by their decisions. The economic value of this information and the resulting decisions are of interest to these two stakeholder groups and to the inform...

Citrus production has a great importance and position in Iran. The growth and sustainability of the agriculture sector is impossible without appropriate and effective risk identification and management. In this study, the main risks of citrus gardens were identified based on the Delphi method through questionnaires completed by 16 experts. Then, using the TOPSIS technique, the risks involved in...

A study of equilibrium acreage allocation decisions at the farm and regional levels under risk aversion, yield uncertainty, and endogenous crop prices is undertaken in a two-crop, two-region setting. The main insight is that a partial specialization in one crop at a regional level may be an equilibrium dominant strategy relative to the more diversified crop mix produced on farm. This is due to ...

Risk analysis of production system, while the actual and appropriate data is not available, will cause wrong system parameters prediction and wrong decision making. In uncertainty condition, there are no appropriate measures for decision making. In epistemic uncertainty, we are confronted by the lack of data. Therefore, in calculating the system risk, we encounter vagueness that we have to use ...