Gender politics, environmental behaviours, and local territories: Evidence from Italian municipalities
We investigated the impact of female politicians on waste collection in Italian municipalities in different territories observed over the years 2010-2019. We used a staggered difference-in-differences design to obtain a causal interpretation of the estimated effects. We find that the majority of women in the municipal council positively influence pro-environmental individual behaviour. The impact of a female-majority council is heterogeneous by region and more pronounced in areas with lower social capital. Female politicians as catalysts for positive change fade after 5-6 years, likely due to persistent social norms locally, thus stressing the need for additional cultural actions with long-lasting effects.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Women, politics and Twitter: Using machine learning to change the discourse
Including diverse voices in political decision-making strengthens our democratic institutions. Within the Canadian political system, there is gender inequality across all levels of elected government. Online abuse, such …
BIG-bench Machine LearningDecision MakingDiscovering Transition Pathways Towards Coviability with Machine Learning
Coviability refers to the multiple socio-ecological arrangements and governance structures under which humans and nature can coexist in functional, fair, and persistent ways. Transitioning to a coviable state in environm…
#ContextMatters: Advantages and Limitations of Using Machine Learning to Support Women in Politics
The United Nations identified gender equality as a Sustainable Development Goal in 2015, recognizing the underrepresentation of women in politics as a specific barrier to achieving gender equality. Political systems arou…
Evaluating gender portrayal in Bangladeshi TV
Computer Vision and machine learning methods were previously used to reveal screen presence of genders in TV and movies. In this work, using head pose, gender detection, and skin color estimation techniques, we demonstra…
Relating Word Embedding Gender Biases to Gender Gaps: A Cross-Cultural Analysis
Modern models for common NLP tasks often employ machine learning techniques and train on journalistic, social media, or other culturally-derived text. These have recently been scrutinized for racial and gender biases, ro…
Cultural Vocal Bursts Intensity PredictionWord Embeddings