Population Studies-A Journal of Demography最新文献

Despite common perceptions to the contrary, pandemic diseases do not affect populations indiscriminately. In this paper, we review literature produced by demographers, historians, epidemiologists, and other researchers on disparities during the 1918-20 influenza pandemic and the Covid-19 pandemic. Evidence from these studies demonstrates that lower socio-economic status and minority/stigmatized race or ethnicity are associated with higher morbidity and mortality. However, such research often lacks theoretical frameworks or appropriate data to explain the mechanisms underlying these disparities fully. We suggest using a framework that considers proximal and distal factors contributing to differential exposure, susceptibility, and consequences as one way to move this research forward. Further, current pandemic preparedness plans emphasize medically defined risk groups and epidemiological approaches. Therefore, we conclude by arguing in favour of a transdisciplinary paradigm that recognizes socially defined risk groups, includes input from the social sciences and humanities and other diverse perspectives, and contributes to the reduction of health disparities before a pandemic hits.

The human population is at the centre of research on global environmental change. On the one hand, population dynamics influence the environment and the global climate system through consumption-based carbon emissions. On the other hand, the health and well-being of the population are already being affected by climate change. A knowledge of population dynamics and population heterogeneity is thus fundamental to improving our understanding of how population size, composition, and distribution influence global environmental change and how these changes affect population subgroups differentially by demographic characteristics and spatial distribution. The increasing relevance of demographic research on the topic, coupled with availability of theoretical concepts and advancement in data and computing facilities, has contributed to growing engagement of demographers in this field. In the past 25 years, demographic research has enriched climate change research-with the key contribution being in moving beyond the narrow view that population matters only in terms of population size-by putting a greater emphasis on population composition and distribution, through presenting both empirical evidence and advanced population forecasting to account for demographic and spatial heterogeneity. What remains missing in the literature is research that investigates how global environmental change affects current and future demographic processes and, consequently, population trends. If global environmental change does influence fertility, mortality, and migration, then population estimates and forecasts need to adjust for climate feedback in population projections. Indisputably, this is the area of new research that directly requires expertise in population science and contribution from demographers.

Around the time that Population Studies celebrated its 50th anniversary in 1996, Susan Greenhalgh published 'An intellectual, institutional, and political history of twentieth-century demography'. Her contribution described a discipline that, when viewed from its margins, prompted scholars in other disciplines to ask the following questions: 'Why is the field still wedded to many of the assumptions of mid-century modernization theory and why are there no critical … perspectives in the discipline?' (Greenhalgh 1996, p. 27). Those questions still arise today. Similarly, Greenhalgh's observation that 'neither the global political economies of the 1970s, nor the postmodernisms and postcolonialities of the 1980s and 1990s, nor the feminisms of any decade have had much perceptible impact on the field' (pp. 27-8), remains a fairly accurate depiction of research published in Population Studies and other demography journals. In this contribution, focusing predominantly on feminist research and insights, I discuss how little has changed since 1996 and explain why the continued lack of engagement concerns me. Demographers still often fail to appreciate the impossibility of atheoretical 'just descriptive' research. Our methods carry assumptions and so rely on (often) implicit theoretical frameworks. Not making frameworks explicit does not mean they do not exert an important influence. I end by proposing that the training of research students should be part of a strategy to effect change.

Although many contemporary demographers pay attention to historical demography, there is often a surprising lack of appreciation of the demographic circumstances and systems of the past, suggesting an implicit assumption that they are not relevant to the present or that the methods, data, and questions addressed by historical and contemporary demographers are different. This paper provides an overview of historical demography as published in Population Studies and how this has developed over time. Drawing on this, I demonstrate that historical and contemporary demography use similar data sources and identical methods, and they often address comparable questions. I argue that an appreciation of demographic patterns and processes is beneficial for all demographers, even those who work on the most recent time periods, and that better integration of historical and contemporary demography would be beneficial to both. The paper also considers three challenges for historical demography as it moves forward.

Population Studies advances research on fertility, mortality, family, migration, methods, policy, and beyond, yet it lacks a recent, rigorous review. We examine all papers published between 1947 and 2020 (N = 1,901) and their authors, using natural language processing, social network analysis, and mixed methods that combine unsupervised machine learning with qualitative coding. After providing a brief history, we map the evolution in authorship and papers towards shorter, multi-authored papers, also finding that females comprise 33.5 per cent of authorship across the period under study, with varied sex ratios across topics. Most papers examine fertility, mortality, and family, studying groups and change, but topics vary over time. Children are rarely studied, and research on women focuses on family planning, fertility decline, and unions, whereas key domains for research on men are migration, historical demography (war, famine), and employment. Research on Africa and Asia focuses on family planning, with work on fertility decline concentrated on North America and Europe, consistent with theories of demographic transition. Our resulting discussion identifies future directions for demographic research.

Over the past 25 years, technological improvements that have made the collection, transmission, storage, and analysis of data significantly easier and more cost efficient have ushered in what has been described as the 'big data' era or the 'data revolution'. In the social sciences context, the data revolution has often been characterized in terms of increased volume and variety of data, and much excitement has focused on the growing opportunity to repurpose data that are the by-products of the digitalization of social life for research. However, many features of the data revolution are not new for demographers, who have long used large-scale population data and been accustomed to repurposing imperfect data not originally collected for research. Nevertheless, I argue that demography, too, has been affected by the data revolution, and the data ecosystem for demographic research has been significantly enriched. These developments have occurred across two dimensions. The first involves the augmented granularity, variety, and opportunities for linkage that have bolstered the capabilities of 'old' big population data sources, such as censuses, administrative data, and surveys. The second involves the growing interest in and use of 'new' big data sources, such as 'digital traces' generated through internet and mobile phone use, and related to this, the emergence of 'digital demography'. These developments have enabled new opportunities and offer much promise moving forward, but they also raise important ethical, technical, and conceptual challenges for the field.

Voluntary family planning is a key mainstay of demographic work and population policies. The 1994 International Conference on Population and Development (ICPD) signalled a decisive shift away from fertility reduction and target-setting to an emphasis on voluntary family planning as intrinsic to reproductive health and women's empowerment. Yet, criticisms of voluntary family planning programmes persist, interrogating how 'voluntariness' is understood and wielded or questioning the instrumentalization of women's fertilities in the service of economic and developmental goals. In this paper, I reflect on these debates with the aim of troubling the notion of voluntary family planning as an unambiguous good that enables equitable empowerment and development for all. Drawing on literature from cognate disciplines, I highlight how voluntariness is linked to social and structural conditions, and I challenge the instrumentalization of voluntary family planning as a 'common agenda' to solve 'development' problems. Engaging with this work can contribute to key concepts (e.g. 'voluntary') and measurements (e.g. autonomy), strengthening the collective commitment to achieving the ICPD and contributing to reproductive empowerment and autonomy. Through this intervention, I aim to help demographers see why some critics call for a reconsideration of voluntary family planning and encourage a decoupling of interventions from fertility reduction aims, instead centring human rights, autonomy, and reproductive empowerment.

Using panel data, this study tracks the impact of reproductive transitions on women's status in the household in India. Here, status refers to the social benefits that women experience by meeting societal expectations related to childbearing. The analysis shows that becoming a mother is associated with increased freedom of movement and access to enabling resources. The adoption of permanent contraception-a common life course event marking the end of childbearing in India-is associated with increased freedom of movement but has no association with changes in access to enabling resources. Household decision-making, another dimension of women's status examined in the paper, is less dynamic over time and there is limited evidence of its association with reproductive transitions. The findings illustrate the tight linkages between household power dynamics and the life course in the South Asian context, and highlight the centrality of women's role as mothers in determining their social position.

Testing theories about human senescence and longevity demands accurate information on older-adult mortality; this is rare in low- to middle-income countries where raw data may be distorted by defective completeness and systematic age misreporting. For this reason, such populations are frequently excluded from empirical tests of mortality and longevity theories, thus limiting their reach, as they reflect only a small and selected human mortality experience. In this paper we formulate an integrated method to compute estimates of older-adult mortality when vital registration and population counts are defective due to inaccurate coverage and/or systematic age misreporting. The procedure is validated with a simulation study that identifies a strategy to compute adjustments, which, under some assumptions, performs quite well. While the paper focuses on Latin American and Caribbean countries, the method is quite general and, with additional information and some model reformulation, could be applied to other populations with similar problems.