Decision support in disinfection technologies for treated wastewater reuse

The environmental and social impact derived from treated wastewater reuse is an intrinsically complex multidimensional process, which involves multiple criteria and multiple stakeholders. This paper presents the use of multicriteria decision through the TOPSIS method, applied to six different methodologies concerning the disinfection of treated wastewater before reusing. Results have shown that the best disinfection technique for treated wastewater has been chlorination with 4 ppm, if this water is to be destined to an urban, agricultural or industrial use, due to a large weight given to cost and environmental criteria. Conversely, in recreational and environmental uses, the alternative of ultraviolet light disinfection was the chosen alternative. Economic criteria showed priority in the most entrepreneurial uses of the water, although social and political cost had a greater weight in the case of environmental or recreational uses. The inclusion of environmental and social assessment in the disinfection technique decision support clearly provides a cleaner and more sustainable production.     

Environmental practices and firm performance: an empirical analysis in the Spanish hotel industry

The impact of environmental practices on firm performance raises an ongoing debate in which the review of the existing literature yields no conclusive results. Different methods have been used to study this relationship and most of the analyses have focused on manufacturing companies. This paper examines the link between environmental practices and firm performance in the Spanish hotel industry using two methods: a cluster analysis and a regression analysis. First, three groups were defined according to their environmental proactivity, and hotels showing a stronger commitment to environmental practices proved to reach higher performance levels. Second, through the regression analysis, findings showed that environmental practices impact significantly on several performance variables.