This paper analyses the role of the extensive versus the intensive farming systems on rural development and specifically in a Greek rural area Trikala. The Generation of Regional Input Output Tables (GRIT) technique is applied for the estimation of the socio-economic impact of the farming...

Nitrate pollution from agriculture is an important environmental problem, caused bythe excessive use of inorganic fertilizers. The internalization of this externality, via a tax onmineral nitrogen, could lead to a second best solution, reducing nitrate emissions. Severalauthors suggest that a...

Positive Mathematical Programming (PMP) is one of the most commonly used methods for calibrating activity programming models. In this article we consider PMP as a calibration method for risk programming models with a mean-variance (E-V) specification. We argue that the restrictive theoretical...

Nitrate pollution from agriculture is an important environmental problem, caused by the excessive use of inorganic fertilizers. The internalization of this externality, via a tax on mineral nitrogen, could lead to a second best solution, reducing nitrate emissions. Several authors suggest that a...

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...

A mathematical programming model based on a countrywide sample of farms is used to assess the impacts of the new C.A.P on the supply of the cotton sector in Greece. Results show a decrease in cotton cultivated area along with the introduction of a new production system called "semi-abandonment...

Although the policy impacts on farms accumulate year by year, most farm decision models focus on short-term decisions, evaluating policies based on snapshots. Structural changes are gradually built; therefore, farm decision models should consider the sequences within the period under study....