Curbing methane emissions from Italian cattle farms. An agroeconomic modelling simulation of alternative policy tools.

Methane (CH) emissions from cattle farms have been prioritised on the EU agenda, as shown by recent legislative initiatives. This study employs a supply-side agroeconomic model that mimics the behaviour of heterogeneous individual farms to simulate the application of alternative economic policy instruments to curb CH emissions from Italian cattle farms, as identified by the 2020 Farm Accountancy Data Network survey. Simulations consider increasing levels of a tax on each tonne of CH emitted or of a subsidy paid for each tonne of CH curbed with respect to the baseline.

Farm to Fork strategy and restrictions on the use of chemical inputs: Impacts on the various types of farming and territories of Italy.

This study evaluates the impacts of reduction in chemical inputs use, as defined to the Farm to Fork strategy, on the Italian agricultural sector based on current production practices and technologies, as well as market and political framework. The impacts are evaluated in terms of some economic, environmental and social indicators, and are shown and discussed both geographic area and types of farming. The analysis was conducted on all Farm Accountancy Data Network (FADN) sample of Italian farms in various years, about 40,000 farms, by using the AGRITALIM model.

Greening and legume-supported crop rotations: An impacts assessment on Italian arable farms.

Since the 1990s, the European Union has progressively and structurally reformed the Common Agricultural Policy with a gradual integration of environmental objectives. For the period post-2020, one of the most relevant changes could be the upgrading of the crops diversification, imposing it as an obligation to rotate crops by introducing legumes in the cropping patterns. This paper proposes an assessment of the possible effects of such obligation on the arable crops sector in Italy.

To what extent is climate change adaptation a novel challenge for agricultural modellers?

Modelling is key to adapting agriculture to climate change (CC), facilitating evaluation of the impacts and efficacy of adaptation measures, and the design of optimal strategies. Although there are many challenges to modelling agricultural CC adaptation, it is unclear whether these are novel or, whether adaptation merely adds new motivations to old challenges. Here, qualitative analysis of modellers' views revealed three categories of challenge: Content, Use, and Capacity.

CAP's environmental policy and land use in arable farms: An impacts assessment of greening practices changes in Italy.

The study assesses the possible impact of first pillar reform of the Common Agricultural Policy by focusing on the new greening rules defined by the recent Omnibus regulation. The analysis was carried out on a Farm Accountancy Data Network sample of Italian farms using by a Positive Mathematical Programming model. Moreover, our analysis is stratified by geographical area and altimetric level and uses some additional environmental and social indicators beyond those economic.