The purpose of our research is to develop an integrated sustainability score (ISS) choosing the farm level as system’s boundaries and developing a methodology, based on a geometric mean algorithm, which is negatively affected by the internal imbalance of the agroecosystem. The first step is to identify and calculate the indicators of systems and sub-systems to assess the agro-ecological and socioeconomic dimensions of sustainability. The second step is the selection, weighting and integration of indicators that permit the calculation of the ISS ranging from 0 to 1. The farm sustainability score is categorized into three levels: weak, intermediate and strong. This methodology has been verified on a stockless organic farming system case study of 12 farms in Italy. Results show that most of the farms reached intermediate levels of sustainability but there are significant differences on ISS scores within the study group. Agro-ecological and socioeconomic dimension play a different role in highlighting the coexistence of different models of sustainability. A further development of the present methodology should include an in-depth analysis of the social dimension of sustainability and integrate an assessment procedure to formulate improved management practices that will help farmers to find win-win solutions that decrease the contrast between environmental and economic sustainability.

The aim of this paper is to propose a multi-attribute hierarchical evaluation model for the evaluation of the aggregate sustainability of livestock farms integrating the economic, environmental, and social aspects. This approach uses an aggregation criterion based on the geometric mean to assess a farm’s current level of sustainability. Sustainability was measured through the use of indicators including carbon footprint, farm income, and animal welfare. Secondly, based on the relationships between the sustainability aspects, the effects of improvement measures on all the indicators were estimated. This paper presents eight livestock case studies from Italy, analyzed in 2014. The results show intermediate values for the aggregate index of sustainability for most of the farms. The index mainly depends on the estimated values of the sustainability indicators related to the economic and environmental aspects. Lower values of animal welfare sustainability are quantified. The introduction of improvement measures in relation to the preparation of the soil had positive effects, both in terms of emissions and animal welfare. The increase of available space per Livestock Unit (LU) resulted in the greatest positive effect on animal welfare, among all the other actions analyzed.

This study develops a methodology for the assessment of disproportionate costs according to the Water Framework Directive guidelines. The originality of the approach lies in the focus on the interdependencies between water bodies and the consideration of the multiple interactions between measures and pressures. However, the broad architecture of the study fits into a wider assessment procedure, already developed in recent studies. Specifically, a cost effectiveness analysis, implemented to select an efficient combination of measures, is integrated with a cost benefit analysis, which allows for the evaluation of the economic feasibility of the proposed actions. This methodology is applied to the Emilia-Romagna Region (Italy). In spite of the uncertainties in the estimations of costs and benefits, the study enables the identification of areas where disproportionate costs are more likely to occur. The results show that disproportionality tends to increase from foothill regions, where most of the functional uses of regional water resources are found, to plain areas, where the sources of pressure tend to be located. Finally, the study offers policy direction for the selection of measures in the case study region.

The paper explores how agricultural water pricing could contribute to lowering water demand when uses are unobserved (asymmetric information). The topic of the paper is justified by the fact that most water authorities worldwide do not control water uses at the farm scale. The study draws inspiration from the pricing policies of a Reclamation and Irrigation Board in Northern Italy. It analyses the optimal design of current tariff strategies with respect both to the actual regulator’s goals and the cost recovery objective of an ideal regulator driven by European Water Framework Directive principles and having full information. The analysis is based on the logic of a Principal-Agent model implemented as a mathematical non-linear programming model. Given the current pricing structure and assuming zero transaction costs, the results show a relevant increase in net benefits for the ideal scenario with respect to the actual one as water use costs increase. Benefits differences between the two scenarios mark a limit in value below which mechanisms able to solve the existing asymmetries between the principal and the agents are economically desirable. The study concludes by showing that the current regulator’s discriminatory strategy (pricing structure) would be better justified with higher levels of cost for water use. However, the existence of non-zero transaction costs related to the control of water uses points to the need for further research in order to analyze incentive mechanisms in the absence of water metering.

Numerous Information and Communication Technologies (ICTs) applications have been developed in irrigated agriculture. While there are studies focusing on ICTs impacts at the farm level, no research deals with this issue at the Water Authority (WA) level where ICTs can support strategic decisions on land and water allocation. The present study aims to design a theoretical model to estimate economic benefits from the ICT-informed decision process of water management in agriculture. Specifically, the study analyzes the motivations driving a case study WA using ICTs to support strategic management decisions involving risky choices. Results show that the WA under investigation has potentialities to save water and to implement adaptation strategies to climate change. Higher benefits from ICTs are attainable in areas with limited water availability and where the WA can effectively manage land allocation and control water delivery volumes. The study concludes that ICTs might have a disruptive potential in fulfilling WA’s specific information needs, but there is still a need to improve their accuracy due to the risk surrounding the decisions at stake.