: This research analyses the issue, unexplored to date, of the causal relationship between women politicians and selective waste collection. Differing attitudes towards environmental issues between men and women may affect waste management at the municipal level, so an increase in women's political representation can be expected to enhance the effectiveness of selective waste collection. The analysis tests for this in Italy, exploiting a gender quota measure (Law 215/2012) as an exogenous shock to the percentage of female municipal councilors. Difference-in-differences instrumental variable analysis finds that an increase of one standard deviation in the percentage of female councilors increases the percentage of selective waste collection by 2.18 percentage points and the total tonnage of selective waste by 447.86. At the same time it reduces the amount of non-selective waste collection by 491.22 tonnes. The study comprises a number of sensitivity analyses for different model specifications, different definitions of dependent variables, different size of municipalities and different geographical areas.

Does gender affect environmentally virtuous behaviour? Evidence from selective waste collection

Baraldi, Anna Laura;Cantabene, Claudia;De Iudicibus, Alessandro
2024

Abstract

: This research analyses the issue, unexplored to date, of the causal relationship between women politicians and selective waste collection. Differing attitudes towards environmental issues between men and women may affect waste management at the municipal level, so an increase in women's political representation can be expected to enhance the effectiveness of selective waste collection. The analysis tests for this in Italy, exploiting a gender quota measure (Law 215/2012) as an exogenous shock to the percentage of female municipal councilors. Difference-in-differences instrumental variable analysis finds that an increase of one standard deviation in the percentage of female councilors increases the percentage of selective waste collection by 2.18 percentage points and the total tonnage of selective waste by 447.86. At the same time it reduces the amount of non-selective waste collection by 491.22 tonnes. The study comprises a number of sensitivity analyses for different model specifications, different definitions of dependent variables, different size of municipalities and different geographical areas.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11591/518570
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