Empowering girls, delaying marriage: Exploring the role of marital age and education on domestic violence in India

Domestic violence represents the most important component of violence against women. Whilst some literature report female empowerment as a protective factor against domestic violence, some literature find the opposite because the husband may attempt to compensate for the enhanced status of his wife. This paper aims to investigate the effects of female empowerment in the form of marital age and education on domestic violence in India, where intimate partner violence is amongst the highest in Asia. The analysis is based on the sample of eligible women aged 15-49 with valid response on domestic violence in the 2015- 2016 National Family Health Survey (NFHS-4) (n=9722). Upon estimating a series of instrumental variable (IV) regressions using age at menarche as an exogenous and strong instrument, we establish a causal relationship between empowerment and domestic violence taking into account the endogeneity of marital age and education. We further disentangle the relationships between domestic violence and age at marriage and education, separately. In addition, we investigate how maritage age and education influence domestic violence through labour market participation and spouse quality channels. We find that: i) empowered women do experience less domestic violence; ii) marital age and education are partially complementary; iii) labour market participation and spousal quality are relevant mediators of these relationships. Policies aiming at reducing domestic violence in India hence should be holistic, focussing on investing in education both for women and men and improving the conditions of the women’ labour market

News from the front: Estimation of excess mortality and life expectancy in the major epicenters of the COVID-19 pandemic in Italy

Existing studies commonly rely on national official reports to estimate the impact of COVID-19 on human life. This is problematic because classification, estimation and reporting of COVID-19 mortality are not consistent across countries. To overcome these problems, this study exploits all cause daily death registrations data provided by the Italian Statistical Office (ISTAT) from January 1 to April 15, 2020. This allows us to: 1) calculate excess mortality in 2020 compared to the average of the years 2015 to 2019; and 2) estimate life expectancy on a seasonal and annual basis. Focusing on the five most severely hit provinces in Italy (Bergamo, Brescia, Cremona, Lodi and Piacenza) and Lombardy region, this analysis captures the impact of COVID-19 on mortality and life expectancy, which are likely to be underestimated when only national level data are considered. We find that seasonal life expectancy in 2020 in the five provinces reduced by 5.1 to 7.8 and 3.2 to 5.8 years for men and women, respectively. For annual life expectancy for the year 2020, in a scenario with no harvesting effect i.e. mortality rates resume to an average level of the years 2015-2019 after the end of the first epidemic wave, the years of life lost is equivalent to 2 to 3.5 years for men and 1.1. to 2.5 years for women in the five provinces. This represents the largest decline in life expectancy after the 1918 influenza pandemic and the Second World War

A systematic review of empirical evidence on migration influenced by environmental change in Africa

BACKGROUND Despite an increase in scholarly and policy interests in the impacts of environmental and climate change on migration, empirical knowledge in the field remains varied, patchy and limited. Generalized discourse on migration influenced by environmental change frequently leads to an oversimplification of the complex channels through which environmental change influences the migration process. The role of environmental and climate change in driving migration reported in existing studies seems to vary from one extreme to the other ‒ from limited and rather indirect role to significant impacts ‒ preventing us from drawing a conclusive evidence. OBJECTIVE This paper seeks to systematize the existing empirical evidence on migration influenced by environmental change with a focus on Africa, the continent most vulnerable to climate change. METHODS We combine elements of a systematic evidence assessment with a more reflexive form of evidence-focused literature review. 53 qualitative and quantitative studies selected from the comprehensive “Climig database” on the influence of environmental change on migration are systematically analyzed based on the framework of the multi-dimensional drivers of migration. RESULTS Environmental change influences migration in Africa in an indirect way i.e. through affecting other drivers of migration including sociodemographic, economic and political factors. How and in what direction environmental change influences migration depends on socioeconomic and geographical contexts, demographic characteristics and type and duration of migration. CONCLUSIONS It is not possible to draw a universal conclusion whether environmental change will increase or suppress migration in Africa since it is context-specific. CONTRIBUTION The review provides a first systematic and comprehensive summary of empirical evidence on environmental driver of migration in Africa considering direct and indirect pathways through which environmental change influence internal and international migration

Human costs of the first wave of the COVID-19 pandemic in the major epicentres in Italy

Deaths from COVID-19 can be miscounted due to under-reporting and inaccurate death registration. Mortality is often reported at the national level, which can result in the underestimation of the true scale of the impact of the pandemic since outbreaks tend to be localised. This study exploits all-cause daily death registration data provided by the Italian Statistical Office (ISTAT) from 1 January to 31 October to estimate the excess mortality and the corresponding changes in life expectancy during the first wave of the COVID-19 pandemic. Focusing on the five most severely hit provinces in Italy (Bergamo, Brescia, Cremona, Lodi and Piacenza), we calculate the excess mortality in 2020 compared to the average mortality of the years 2015 to 2019. Moreover, we estimate the excess mortality in the first quadrimester of 2020, and the annual life expectancy at birth. The estimated excess deaths show that during this period, mortality was significantly higher than the official mortality statistics for COVID-19. According to our estimates for the first quadrimester, life expectancy in the five provinces declined by 5.4 to 8.1 for men and by 4.1 to 5.8 years for women. In addition, we find that annual life expectancy decreased by 2.4 to 4.1 years for men and by 1.9 to 2.8 years for women compared to the 2015–2019 average. Thus, we conclude that the first wave of the COVID-19 pandemic had a substantial impact on population health in the hardest hit areas in Italy