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Discrimination against LGBT people represents a significant and long-standing societal problem that occurs in several forms, including lexical discrimination, which consists in frequent usage of discriminatory epithets. Lexical discrimination produces a vicious circle where speakers grow subconsciously accustomed to abusive language and marginalisation becomes institutionalised. A vast literature has tackled lexical discrimination, providing several country-level studies. The cases of France and Italy are described as very different: while the French experience is centred around grassroot mobilisation, Italy features a traditional strategy of silence. This work aims to verify such difference empirically. Using a rich and detailed dataset, we apply time series analysis on the frequencies of usage of the terms that characterise male homosexuality. Our results highlight some similarities and some differences between the French and the Italian case, stressing the importance of lexical resemantisation that occurred in France but not in Italy. [ABSTRACT FROM AUTHOR]

Wildfires constitute a serious threat for both the environment and human well-being. The US fire policy aims to tackle this problem, devoting a sizeable amount of resources and resorting extensively to fire suppression strategies. The theoretical literature has established a link between climate conditions and wildfire incidence. Using state-level data from 2002 to 2013 for the USA, this work proposes a wildfire incidence indicator and runs a generalized spatial ordered probit model in order to test the findings of the previous literature empirically. Moreover, this article investigates the extent of spatial spillovers in the climatic covariates. The results highlight a significant impact of precipitation and temperature on fire incidence and provide some evidence of the role of spatial spillovers. In particular, transitions from lower to higher wildfire incidence levels are significantly encouraged by increases in local temperature and significantly discouraged by increases in both local precipitation and lagged precipitation. The present analysis complements the recent literature, confirming the previous findings with a solid empirical investigation and offering a policy-oriented picture of wildfire risks all over the USA. [ABSTRACT FROM AUTHOR]

Following the definition provided by the EU-funded FUSIONS project (food use for social innovation by optimising waste prevention strategies), this work estimates food waste at the provincial level (NUTS-3) in Italy, using official records on separate waste collection over the 2004–2014 time span. Moreover, it sheds some light on how economic and socio-demographic characteristics affect food waste levels and composition. We run a fixed effects panel regression taking into account a number of socio-economic factors. Our results show that food waste is positively affected by population density and consumption levels, while it is negatively affected by the share of women, elderly people, immigrants and unemployed in the population. We also analyse the components of food waste—the one resulting from unsorted waste and the one resulting from separated collection—and we show how they are affected by socio-economic drivers. Overall, our analysis highlights the role of consumption levels. Locally targeted awareness campaigns aiming to reduce food consumption need to be devised in order to tackle the food waste challenge. [ABSTRACT FROM AUTHOR]