Assessment of Multifunctionality and Jointness of Production - Environmental and Agricultural Modelling - page 30

variations at the regional level would require a calibrated procedure to assess in which
sense positive and negative variations compensate (or not) each other.
Quantitative Assessment of Jointness
This section is a first attempt to quantitatively assess indicators of multifunctionality
using SEAMLESS-IF. We opted for an estimation technique that is based on the
assumption that was already derived from the outcomes presented in Table 2. 4 which
states that environmental subsidies are an estimator for the value of the subsidised
non-commodity outputs. Unfortunately, such a proxy could not be found for non-
commodity outputs that are not subsidized because of a lack of simulation results.
The assumption that environmental subsidies are an estimator for the value of the
subsidized non-commodity outputs enabled us to measure the share of modelled
income that is due to the environmental subsidies (direct effect plus cross-effects on
output, input and intermediate consumptions), for the years 2000 and 2004.
Figure 2.5 plots the difference of the 2000 and 2004 values for this indicator.
Analysing Figure 2.5 emphasises that regions that receive relatively high
environmental subsidies on a per hectare basis (Finland, Austria, East-Germany)
Fig. 2.5 Evolution of the total effect of environmental subsidies of the average farm income in
each region between 2000 and 2004 (in blue decreasing effect and in green increasing one)