The heterogeneity of farms and the problem of self-selection are challenging the evaluation of treatments in agriculture. This is particularly the case for rural development measures whit voluntary participation and heterogeneous outcomes. But knowledge about the selection mechanisms for a...

The aim of this paper is to analysis the impact of the policies of development and investments in the food industry at geographical and enterprises levels. We will analysis how the different geographical areas inside the Italian region Emilia-Romagna are sensitive to the development policies. A...

This paper discusses an approach to implement output quotas in the GTAP model which permits an endogenous adjustment of both the supplied quantity and the quota rent. Since the quota rent is interpreted as additional earnings of the factors used no change of the worldwide GTAP data base is...

The paper reviews the empirical problem of estimating state-contingent production functions. The major problem is that states of nature may not be registered and/or that the number of observation per state is low. Monte Carlo simulation is used to generate an artificial, uncertain production...

Pollen-mediated gene flow is one of the main concerns associated with the introduction of genetically modified (GM) crops, since growers of GM varieties normally do not take into account its possible impact on conventional and organic growers therefore generating negative externalities. Should a...

Within an overall project to assess the ability of the agricultural sector to contribute to bioenergy production, we set out here to examine the economic and technological viability of a bioenergy facility in an uncertain economic context, using the stochastic viability approach. We consider two...

In eastern Switzerland there is a substantial weather risk during the wheat harvest. Increasing the number of available combine harvesters reduces harvest losses due to bad weather conditions, whilst increasing machinery costs. Simulating weather risk, we analyse harvest losses and machinery...

Stochastic budgeting is used to simulate the business and financial risk and the performance over a six-year planning horizon on a Norwegian dairy farm. A major difficulty with stochastic whole-farm budgeting lies in identifying and measuring dependency relationships between stochastic...

This paper presents possible approach how different sources of data at farm level, national statistics and analytical models could be merged in simulation process to analyse income risk at the sector level. Baseline is production structure resumed out of annual subsidy applications as key...