The present research is aimed at establishing how farmers can be encouraged to adopt irrigation water saving measures. By developing and implementing an extended version of the well-known Theory of Planned Behavior, we considered farmers’ propensity to adopt innovations and their water footprints. In a sample of 150 Italian farmers, we found that favorable attitudes towards water saving measures, and the orientations of environmental associations and public bodies favorably influence farmers’ intentions to adopt water saving measures. Farmers’ innovativeness and water footprints also exert a significant influence on their adoption intentions. The paper also discusses the contribution of these results to the previous literature and highlights practical implications for policy makers interested in promoting the adoption of irrigation water saving measures.

The worsening of groundwater quality is a huge problem for some regions, especially where a karst aquifer system is the most important water resource because of the deficiency of a well-developed superficial water supply. In this study the chemical quality of a deep aquifer of the Salento peninsula (Southern Italy), where a shallow aquifer and an extensive deep aquifer are exploited as a source of drinking water and irrigation water, was monitored. The indicator used to assess the sustainability of pollution produce by human activities is the “grey water footprint” (GWF) which measures the amount of water required to assimilate a polluting load produced from anthropic activity. The GWF, calculated for each chemical parameter, shows a widespread contamination by Mercury (Hg), Vanadium (V) and Ammonium (NH₄⁺) with concentrations above the limits (Lgs. D. 31/2001). The high Mercury and Vanadium concentrations may thus be associated with anthropic pressures on the aquifer, while Ammonium derives mainly from fertilizers used in agriculture. The situation that emerged involves reflections on the continuous human pressure on natural resources. Therefore, the management of groundwater quality requires a multidisciplinary approach focused on identifying the measures necessary to protect our water resources.

As the highest carbon emission country in the world, it is particularly important to investigate the implementation effect of China’s carbon emission trading (CET) system. Because of the complexity to figure out the counterfactual effect when a single unit is treated, the counterfactual and causal effects of the CET system on the carbon emissions are seldom identified. In order to overcome the weakness that counterfactual effect is difficult to be verified and policy persistence is difficult to be estimated, Synthetic Control Method (SCM) and Regression Discontinuity (RD) are combined to better understand and evaluate the impact of CET system in China. Through the analysis, it is found that CET system is effective in China, but the effect is driven by economic development, energy consumption, FDI and other variables. Because of the differences in economic, geographical, technological and environmental conditions in various areas, each Chinese provincial government should formulate a targeted policy according to local conditions, ensuring an economic and environmentally sustainable growth in the future.