In this paper an applied approach for analysing economic problems under risk and uncertainty based on networks of decisions (NODs) will be discussed. It can be shown that network of decision analysis can help to understand complex decision problems under risk and uncertainty in single case...

This study investigates the impact of climate change adaptation on farm households’ downside risk exposure (e.g., risk of crop failure) in the Nile Basin of Ethiopia. The analysis relies on a moment-based specification of the stochastic production function. We estimate a simultaneous equations...

Pine wood nematode, B. xylophilus poses a serious threat for the European forest industry. This study applies a quantitative risk assessment to analyze the risk of pine wood nematode in the EU, by estimating the reduction expected within forestry stock available for wood supply and its...

Although risk management in farming is a well-documented subject in scientific literature, this same literature is usually used only by other scientist and is not aiding individual farmers in their management. Risk perception and risk attitude are well described determinants of risk behaviour...

Risk considerations have become increasingly important in nowadays agriculture, due to a variety of reasons. Surprisingly, the practice of formalized risk management is not widespread despite the huge amount of scientific literature on this topic. This discrepancy between risk science and...

Current research evaluating biofuels policies focuses primarily on market-economic criteria. While it is widely acknowledged that both the economic and environmental, and social aspects of biofuels policy must all be balanced with each other in the process of developing a viable biofuels policy,...

Positive Mathematical Programming (PMP) is one of the most commonly used methods of calibrating activity linear programming (LP) models in agriculture. PMP applications published thus far focus on the estimation of a farm’s nonlinear cost or profit function and rely on the recovery of...

We analyze determinants of hail insurance use of Swiss farmers, covering the period 1990-2009 using FADN panel data. Mixed effect logistic regression models are estimated to identify the most important farm and farmer characteristics that determine insurance use. In addition, information on...