The recent CAP aims at better targeting beneficiaries and being more selective in its objectives. This has drawn attention to how policies interact with resources used by farms in terms of both economic and environmental costs. Conditional Process Models under Structural Equation Modeling framework may offer statistical indications on these complex interactions. The proposed model, called SMIRNE, is applied to an Italian macro-area at severe risk of land pollution (Pianura Padana) caused by livestock sector. Results show a more substantial support from pillar I policies than those provided by pillar II in addressing a relevant response of policies to the economic and environmental costs of the livestock activities with reference to the use of land.
This paper uses a multisector, multiregional general equilibrium input-output model to study the spillovers of global carbon pricing to Germany and Europe. It uses the World Input-Output Database (WIOD) to calibrate the intersectoral trade between seven regions and 56 economic sectors per region as well as EXIOBASE’s sectoral accounts of greenhouse gas emissions to calibrate emission costs. We find that moving from European-only to global carbon prices does neither reduce nor increase the aggregate GDP loss for Germany or Europe as a whole. However, this masks a large degree of heterogeneity across sectors. Sectors that rely on foreign sectors, which are themselves sensitive to the transition, experience large negative spillovers from global carbon pricing. Other sectors, even those with a high emission or trade intensity, tend to benefit from global carbon pricing due to an improvement in international competitiveness.

