Education and Health: Redrawing the Preston Curve
In: Population and development review, Band 44, Heft 2, S. 343-361
ISSN: 1728-4457
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In: Population and development review, Band 44, Heft 2, S. 343-361
ISSN: 1728-4457
In: Population studies: a journal of demography, Band 76, Heft 1, S. 137-156
ISSN: 1477-4747
Population projections for sub-Saharan Africa have, over the past decade, been corrected upwards because in a number of countries, the earlier declining trends in fertility stalled around 2000. While most studies so far have focused on economic, political, or other factors around 2000, here we suggest that in addition to those period effects, the phenomenon also matched up with disruptions in the cohort trends of educational attainment of women after the postindependence economic and political turmoil. Disruptions likely resulted in a higher proportion of poorly educated women of childbearing age in the late 1990s and early 2000s than there would have been otherwise. In addition to the direct effects of education on lowering fertility, these less-educated female cohorts were also more vulnerable to adverse period effects around 2000. To explore this hypothesis, we combine individual-level data from Demographic and Health Surveys for 18 African countries with and without fertility stalls, thus creating a pooled dataset of more than two million births to some 670,000 women born from 1950 to 1995 by level of education. Statistical analyses indicate clear discontinuities in the improvement of educational attainment of subsequent cohorts of women and stronger sensitivity of less-educated women to period effects. We assess the magnitude of the effect of educational discontinuity through a comparison of the actual trends with counterfactual trends based on the assumption of no education stalls, resulting in up to half a child per woman less in 2010 and 13 million fewer live births over the 1995–2010 period.
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Population projections for sub-Saharan Africa have, over the past decade, been corrected upwards because in a number of countries, the earlier declining trends in fertility stalled around 2000. While most studies so far have focused on economic, political, or other factors around 2000, here we suggest that in addition to those period effects, the phenomenon also matched up with disruptions in the cohort trends of educational attainment of women after the postindependence economic and political turmoil. Disruptions likely resulted in a higher proportion of poorly educated women of childbearing age in the late 1990s and early 2000s than there would have been otherwise. In addition to the direct effects of education on lowering fertility, these less-educated female cohorts were also more vulnerable to adverse period effects around 2000. To explore this hypothesis, we combine individual-level data from Demographic and Health Surveys for 18 African countries with and without fertility stalls, thus creating a pooled dataset of more than two million births to some 670,000 women born from 1950 to 1995 by level of education. Statistical analyses indicate clear discontinuities in the improvement of educational attainment of subsequent cohorts of women and stronger sensitivity of less-educated women to period effects. We assess the magnitude of the effect of educational discontinuity through a comparison of the actual trends with counterfactual trends based on the assumption of no education stalls, resulting in up to half a child per woman less in 2010 and 13 million fewer live births over the 1995-2010 period.
BASE
In: Asian population studies, Band 19, Heft 1, S. 81-104
ISSN: 1744-1749
In: Demographic Research, Band 41, S. 491-544
ISSN: 1435-9871
BACKGROUND Despite an increase in scholarly and policy interest regarding the impacts of environmental change on migration, empirical knowledge in the field remains varied, patchy, and limited. Generalised discourse on environmental migration frequently oversimplifies the complex channels through which environmental change influences the migration process. OBJECTIVE This paper aims to systematise the existing empirical evidence on migration influenced by environmental change with a focus on Africa, the continent most vulnerable to climate change. METHODS We select 53 qualitative and quantitative studies on the influence of environmental change on migration from the comprehensive Climig database and systematically analyse the literature considering the multidimensional drivers of migration. RESULTS Environmental change influences migration in Africa in an indirect way by 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 the type and duration of migration. CONCLUSIONS The contextually contingent nature of migration-environment relationships prevents us from drawing a universal conclusion, whether environmental change will increase or suppress migration in Africa. However, this study unravels the complex interactions between the nature and duration of the environmental pressure, the livelihood of the populations, the role of kinship ties and the role of demographic differentials on migration response. CONTRIBUTION The review provides an initial systematic and comprehensive summary of empirical evidence on the environmental drivers of migration in Africa. It also discusses the implications of the scale, materials, and methods used in the 53 studies.
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BACKGROUND: Despite an increase in scholarly and policy interest regarding the impacts of environmental change on migration, empirical knowledge in the field remains varied, patchy, and limited. Generalised discourse on environmental migration frequently oversimplifies the complex channels through which environmental change influences the migration process. OBJECTIVE: This paper aims to systematise the existing empirical evidence on migration influenced by environmental change with a focus on Africa, the continent most vulnerable to climate change. METHODS: We select 53 qualitative and quantitative studies on the influence of environmental change on migration from the comprehensive Climig database and systematically analyse the literature considering the multidimensional drivers of migration. RESULTS: Environmental change influences migration in Africa in an indirect way by 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 the type and duration of migration. CONCLUSIONS: The contextually contingent nature of Migration-environment relationships prevents us from drawing a universal conclusion, whether environmental change will increase or suppress migration in Africa. However, this study unravels the complex interactions between the nature and duration of the environmental pressure, the livelihood of the populations, the role of kinship ties and the role of demographic differentials on migration response. Contribution: The review provides an initial systematic and comprehensive summary of empirical evidence on the environmental drivers of migration in Africa. It also discusses the implications of the scale, materials, and methods used in the 53 studies.
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