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Does earning money empower women? Evidence from India

This study investigates the relationship between women’s earnings and empowerment in India, focusing on married women aged 15-49. Utilizing data from the Indian DHS (2019–21), the research employs Bayesian statistical analyses to explore how earning money influences women’s empowerment in areas like financial and bodily autonomy, marital rights, attitudes towards intimate partner violence, and peer recognition. The study reveals that while earning money enhances women’s financial and bodily autonomy, decision-making capacity, and societal recognition, it simultaneously restricts their marital rights, degrades intimate partner relations, and increases the risk of domestic violence. The findings contribute to the discourse on gender equality, offering empirical insights into the complexities of women’s empowerment in India. This research has practical implications for policymakers, NGOs, and stakeholders working towards women’s empowerment, providing a deeper understanding of the varied impact of women’s economic contributions in India’s socio-cultural context.

What makes a man unmanly? The global concept of ‘unmanliness’

This paper presents the findings of a multi-national study that led to the development of a new analytical framework in masculinity research—the Global Concept of ‘Unmanliness’ (GCU). Drawing on three key theories—hegemonic masculinity, precarious manhood and masculinity threat, and emasculation—we conducted an innovative study across 15 countries (selected from an initial pool of 62) to examine cultural perceptions of ‘unmanliness.’ Participants provided open-ended responses to identify traits and behaviors considered unmanly within their cultural contexts. By analyzing common themes expressed by young men, we propose the Global Concept of ‘Unmanliness’ as a framework for understanding how societies define and enforce masculinity norms. Furthermore, comparing these findings with the Global Gender Gap Index (GGGI) revealed a key distinction in how ‘unmanliness’ is characterized across different levels of gender emancipation. In countries with high GGGI rankings (e.g., Norway, Ireland, Germany), ‘unmanliness’ is more often associated with physical traits and behaviors linked to femininity (e.g., clothing, makeup). Conversely, in countries with low GGGI rankings (e.g., Pakistan, Morocco, Nigeria), it is more commonly defined by acts such as violence against women. Our study highlights how cultural and structural gender dynamics shape the boundaries of masculinity and offers a new lens for cross-cultural research on gender norms.

A severe local flood and social events show a similar impact on human mobility

While a social event, such as a concert or a food festival, is a common experience to people, a natural disaster is experienced by a fewer individuals. The ordinary and common ground experience of social events could be, therefore, used to better understand the complex impacts of uncommon, but devastating natural events on society, such as floods. Based on this idea, we present a comparison — in terms of human mobility — between an extreme local flood that occurred in 2017 in Switzerland, and social events which took place in the same region, in the weeks before and after the inundation. Using mobile phone location data, we show that the severe local flood and social events have a similar impact on human mobility, both at the national scale and at a local scale. At the national level, we found a small difference between the distributions of visitors and their travelled distances among the several weeks in which the events took place. At the local level, instead, we detected the anomalies (in time series) in the number of people travelling each road and railway, and we found that the distributions of anomalies, and of their clusters, are comparable between the flood and the social events. Hence, our findings suggest that the knowledge on ubiquitous social events can be employed to characterise the impacts of rare natural disasters on human mobility. The proposed methods at the local level can thus be used to analyse the disturbances in complex spatial networks and, in general, as complementary approaches for the analyses of complex systems.

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