In this study, the economic profitability of hazelnut production in central Italy using conventional and organic farming systems was evaluated using the cost–benefit analysis methodology. Viterbo’s province is the leading province in Italy in terms of quantity produced. Three indicators were calculated for both farming systems: net present value, payback time, internal rate of return. The analysis was conducted utilizing primary data collected by means of interviews and surveys with local farmers and organizations of producers. The collected production data refer to the decade 2008–2018; a global area of 100.34 ha and 76.14 ha were considered for conventional and organic cultivation, respectively. Sensitivity analysis was carried out considering different discount rates, price variability, and inflation rates. The net present value is equal to 92,800 €/ha and to 3778 €/ha, the payback time is 10.47 years and 42.94 years, while the internal rate of return is 12.2% and 1.1% for the conventional and organic production systems, respectively. The conventional production system performs significantly more remuneratively, considering that the price premium paid by the market for the organic product and the subsidies granted to organic farmers are not sufficient to balance the lower yield.

Aquaculture is increasingly considered a major contributor to the growing demand for worldwide seafood production. Sustainability is becoming a key issue for aquaculture systems, with the objective to produce seafood with lower environmental impacts and that is economically viable and socially fair. In the context of the SIMTAP project, a multi-attribute model called DEXiAqua was developed. DEXiAqua uses the DEX method to assess the sustainability of aquaculture systems via indicators from technical domains and reference methods (i.e., life cycle assessment, life cycle costing, social life cycle assessment, and emergy accounting) selected and organized by the partners in the SIMTAP project. The DEX method consists of building an attribute tree that is organized to characterize a complex problem. Qualitative or quantitative indicators are measured at the end of each branch of the tree. The value of each indicator is translated into a qualitative scale for the associated attribute via threshold values. Weighted utility functions are used to build attributes from sub-attributes until the attribute of overall sustainability is reached. DEXiAqua was applied to a case study of salmon farming in France, which illustrated its ability to assess overall sustainability and help identify ways to improve the production system by identifying environmental, social, and economic hotspots. More case studies are required to apply DEXiAqua to a variety of systems with technical and contextual differences, which could result in changing attribute weights to adapt it better to different contexts.

Reducing methane (CH₄) is a key objective to address climate change quickly. Manure management and storage play a significant role. In this context, a real-scale trial was performed to measure the ability of the commercial additive SOP LAGOON to reduce carbon-based greenhouse gas (GHG) emissions from liquid manure over approximately 4 months. Gas emissions were measured at a commercial dairy farm from two slurry tanks, one treated with the abovementioned product (SL) and the other used as the untreated control (UNT). After 3 and 4 months from the first additive applications, the SL storage tank showed lower and statistically significantly different emissions concerning the UNT (up to −80% for CH₄ and −75% for CO₂, p < 0.001), confirming and showing improved results from those reported in the previous small-scale works. The pH of the UNT tank was lower than that of the SL on two dates, while the other chemical characteristics of the slurry were not affected. In this work, SOP LAGOON proved to be an effective additive to help the farmers mitigate the contribution of stored liquid manure to global CH₄ emissions, potentially improving the overall sustainability of the dairy industry.