JOURNAL OF POPULATION RESEARCH最新文献

Immigration from a diverse range of source countries has been instrumental in increasing the diversity of religions among Australia’s population. Immigrants’ religious adherences may affect their labour market outcomes and integration into the host society more broadly by influencing their accumulation of human capital, work and family-related attitudes and values, social networks, and experiences of discrimination. Such effects of religion may differ between immigrants from different countries of origin. This paper examines the effects of religion and birthplace on unemployment, labour force participation and occupational status using 2016 Australian Census data, paying particular attention to the largest Asian immigrant groups. The results show that religion has stronger effects on labour force participation for females than for males. Christians tend to have higher employment and occupational status than Muslims and Buddhists. The results show the variations in labour force participation and occupational status between people with different religions are generally wider within immigrant groups than among the Australia-born, and the pattern of variation differs between Asian country of birth groups. The study demonstrates the importance of religion to the delineation of the heterogenous paths of economic integration of immigrant populations.

Some European countries, such as Greece and Spain, were severely hit by the 2008 economic crisis whereas others, such as Germany, were practically spared by it. This divergence allowed us to implement a difference in differences research design which offered the possibility to observe the long-lasting effects produced by the crisis on European life expectancy. Our analysis-based on Eurostat data from 2001 to 2019-shows that life expectancy increased faster, after the onset of the crisis, in those countries where the rise in unemployment was more intense. Furthermore, our results show that this gain in life expectancy persisted, and sometimes further increased, until 2019 when most macro-economic variables had returned to their pre-crisis values. Previous research has identified that mortality behaves procyclically in developed countries: when the economy slows down mortality decreases and vice versa. Our findings show, by contrast, that life expectancy behaves asymmetrically: it responded to an increase but not to a decrease in unemployment. This calls for a reconsideration of the causal mechanisms linking together the economic cycle and mortality in developed countries.

An aspect of the Covid-19 pandemic that merits attention is its effects on marriage and childbirth. Although the direct fertility effects of people getting the virus may be minor, the impact of delayed marriages due to the first preventive lockdown, such as that imposed in Pakistan from March 14 to May 8 2020, and the closure of marriage halls that lasted till September 14 may be non-negligible. These demographic consequences are of particular import to developing countries such as Pakistan where birth rates remain high, marriage is nearly universal, and almost all child-bearing takes place within marriage. Based on historic marriage patterns, we estimate that the delay in nuptiality during the first wave of the coronavirus outbreak may affect about half of the marriages that were to take place during the year. In Pakistan, childbearing begins soon after marriage, and about 37% of Pakistani married women give birth to their first child within twelve months of marriage. A sizeable number out of these, around 400,000 annual births that occur within twelve months of the marriage, may consequently be delayed. Postponement of marriages due to the accompanying difficult economic situation and employment precariousness will accentuate this fertility effect. The net fertility impact of the Covid-19 outbreak will ultimately depend not only on the delay in marriages but also on the reproductive behavior of existing couples.

The paper projects aggregate populations of six Pacific Island countries in both pre- and post-COVID19 scenarios using a Cohort Component Method for the period 2020-2060. It uses baseline indicators resembling China and Italy's experiences and finds that Pacific countries could experience a fatality rate between 5 and 20% due to the pandemic. It also finds that most Pacific Island countries would experience higher fatalities in the older age groups, consistent with what is being witnessed in other countries around the world. The analysis also shows that while the risk escalates for people over 50 years onward in all other sample countries, in Fiji, those in the age range of 60 years or more are at higher risk. The findings also indicate that for all countries, the fatality rate for 80 years and older is about 50%. The population projections show that Fiji will be most impacted, while others will experience around 2% initial population decline. The convergence to baseline is found to be slow (except for Tonga) in most Pacific countries. Consequently, the paper suggests a cautious approach in dealing with the current crisis.

Emerging at the end of 2019, COVID-19 has become a public health threat to people worldwide. Apart from deaths with a positive COVID-19 test, many others have died from causes indirectly related to COVID-19. Therefore, the COVID-19 confirmed deaths underestimate the influence of the pandemic on society; instead, the measure of 'excess deaths' is a more objective and comparable way to assess the scale of the epidemic and formulate lessons. One common practical issue in analysing the impact of COVID-19 is to determine the 'pre-COVID-19' period and the 'post-COVID-19' period. We apply a change point detection method to identify any change points using excess deaths in Belgium.

This article explores for a large number of countries in the European Union (plus the United Kingdom) the main demographic differentials in positive tested COVID-19 cases and excess mortality during the first wave in 2020, accounting for differences at territorial level, where population density and size play a main role in the diffusion and effects of the disease in terms of morbidity and mortality. This knowledge complements and refines the epidemiological information about the spread and impact of the virus. For this analysis, we rely on the descriptive exploration of (1) data from The European Surveillance System (TESSy) database developed at the European Centre for Disease Prevention and Control (ECDC) on the number of cases and fatality rates and (2) of weekly mortality data collected by Eurostat. The analysis at territorial level studies the changes in R0-the basic reproduction number-and median excess mortality, across territories with different levels of urbanization. The unique findings of this study encompassing most European Union Member States confirm and define the demographic and territorial differential impacts in terms of infections and fatalities during the first wave of the pandemic in 2020. The information is important for stakeholders at European Union, national and sub-national levels in charge of designing containment measures for COVID-19 and adaptation policies for the future by anticipating the rebound for certain segments of the population with differential medical and economic needs.

Australia's pro-immigration policies have played a vital role in national population growth, serving to address what would otherwise be chronic labour shortages and population ageing. While migrants to Australian have shown a clear preference for cities and tend to locate with co-ethnics, variations by visa class-employment, family reunification, and asylum-have yet to be fully explored. This paper aims to identify variations in settlement patterns of immigrants in Australia by visa types and the factors underpinning these choices, paying particular attention to ethnic networks and employment opportunities. We apply a series of negative binomial regressions to aggregate census data linked to visa status. At the suburb level, our results show the importance of the presence of compatriots in shaping the location choices of family migrants, with the exception of skilled and humanitarian immigrants from China, Malaysia and Thailand. At the regional level, skilled migrants, including skilled regional migrants, respond to employment opportunities to a greater extent than family and humanitarian migrants.

International graduates have been shown to experience comparatively poor outcomes in their transition to the host labour market after course completion. In Australia, international graduates typically fare worse than domestic graduates in the labour market, with new evidence pointing to a deterioration in their relative labour market position over the years. The contributing factors for the deterioration, however, remain unclear. In this article, we analysed unique large-scale survey data from the Australian Graduate Survey to identify the factors underlying the deteriorating labour market outcomes of international graduates from 2000. Our findings indicate that the deteriorating labour market outcomes of international graduates can be largely linked to the declining share of these graduates who are a citizen or permanent resident of Australia. The rising percentage of international graduates who are non-native English-speakers also played a role, albeit a modest one. These findings call attention to the persistent labour market disadvantage of international graduates and highlight the inadequacies of existing policies aimed at temporary retention and stronger English language skills in promoting labour market integration.

Indigenous Peoples in the United States have been experiencing disproportionate impacts of COVID-19. American Indian and Alaska Native persons are more likely to be infected, experience complications, and die from coronavirus. Evidence suggests that Indigenous persons have 3.5 times the incidence rate of non-Hispanic/Latinx whites. Unfortunately, this is likely a gross underestimate because of a lack of reliable and accurate COVID-19 data for American Indian and Alaska Native populations. Multiple factors contribute to poor data quality including the lack of Indigenous representation in the data and rampant racial misclassification at both the individual and group levels. The current pandemic has shed light on multiple pre-existing issues related to Indigenous data sovereignty in data collection and management. We discuss the importance of centring Indigenous data sovereignty in the systemic efforts to increase COVID-19 data availability and quality. The federal and state governments must support and promote Tribes' rights to access data. Federal and state governments should also focus on bolstering their data availability and quality for aggregated data on AIAN populations and for providing disaggregated Tribal data to Tribes. Given the pivotal moment in the United States with ongoing and parallel pandemics of coronavirus and racism, we urge demographers and population scientists to reflect on the role of structural racism in data, data collection and analysis.