We used data from a 6-year survey of 60 apiaries in Greece and economic modelling to assess at the field level the effects of neonicotinoid insecticides on honey production. Based on production function estimates, we found that sub-lethal concentrations of two widely used neonicotinoid insecticides (imidacloprid and thiamethoxam) detected in the nectar of flowers resulted in substantial losses in honey production for commercial beekeepers in our sample.
In this article we first develop a theoretically consistent supply-response model for producers with invariant preferences facing price risk, and then we empirically apply the model for a group of Cretan olive-oil producers. For doing so, we estimate a Generalized Leontief cost function and we use the price distribution historically faced by individual farmers to induce three different representations of price risk corresponding to the second, third and fourth lp norms. These risk measures are combined with the estimated cost-structure to provide three separate representations of the efficient frontier for the representative producer.
We develop a biologically correct cost system for production systems facing invasive pests that allows the estimation of population dynamics without a priori knowledge of their true values. We apply that model to a data set for olive producers in Crete and derive from it predictions about the underlying populations dynamics. Those dynamics are compared to information on population dynamics obtained from pest sampling with extremely favorable results.
Using the Lichtenberg-Zilberman-Fox-Weersink damage specification, we develop a short-run, supply-response framework based on rational producer behavior in the presence of damage agents.
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