Climate change and population migration in Brazil’s Northeast: scenarios for 2025–2050

This research contributes to an understanding of the relationship between climate change, economic impacts and migration. We model the long-term relationship (up to 45 years of projection) between demographic dynamics—particularly migration—driven by changes in the performance of the economy due to climate changes in the Northeast region of Brazil. The region is of particular relevance to the study of climate change impacts given its large human population (28% of Brazil’s population) and high levels of impoverishment, having an extensive semi-dry area which will be severely impacted by growing temperatures. Ultimately, the integrated model generates state- and municipal-level migration scenarios based on climate change impacts on the primary economic sectors and their articulations with other sectors. Results suggest that the predicted climate changes will impact severely the agriculture sector in the region, acting as a potential migration push factor to other regions in the country. Finally, we discuss how the increased vulnerability of some groups, particularly migrants, can be factored into Brazilian public policy and planning.     

Climate shocks and the timing of migration from Mexico

Although evidence is increasing that climate shocks influence human migration, it is unclear exactly when people migrate after a climate shock. A climate shock might be followed by an immediate migration response. Alternatively, migration, as an adaptive strategy of last resort, might be delayed and employed only after available in situ (in-place) adaptive strategies are exhausted. In this paper, we explore the temporally lagged association between a climate shock and future migration. Using multilevel event-history models, we analyze the risk of Mexico-US migration over a seven-year period after a climate shock. Consistent with a delayed response pattern, we find that the risk of migration is low immediately after a climate shock and increases as households pursue and cycle through in situ adaptive strategies available to them. However, about 3 years after the climate shock, the risk of migration decreases, suggesting that households are eventually successful in adapting in situ.     

Seasonal and weather-related behavioral effects among urban Aboriginal, urban non-Aboriginal, and remote Aboriginal participants in Canada

The influence of seasonal change and weather on mood, social activity, weight, food consumption, and sleep length was compared across urban Aboriginals (n = 43), urban non-Aboriginals (n = 49), and remote Aboriginals (n = 39) in Ontario, Canada. Such research is important since climate change may differentially shape the well-being of social groups. Behavioral items—including mood, social activity, weight, sleep, and food consumption—were measured using the Seasonal Pattern Assessment Questionnaire, and associations between these items and meteorological data were examined with bivariate and multivariate approaches. Weather variables had consistent, significant associations with behavior except within the remote Aboriginal group despite living in a more extreme climate. Lifestyle and adaptation may contribute to an increased weather tolerance among remote Aboriginal people, intriguing findings as cultures grapple with the implications of future climate change.     

中国人口的迁移转变——基于迁移率的考察

经典人口转变理论侧重死亡和生育转变过程的测量、描述和解释,地理学家将迁移转变纳入人口转变框架,以完善人口转变理论。不过与死亡和生育转变研究不同,中国的迁移研究侧重基于对迁移流动人口规模和结构的考察分析,少有采用人口学意义上的迁移率指标的研究。文章利用2010—2015年历次中国综合社会调查的合并数据,通过人口学方法和泊松回归模型,计算和分析了1950—2015年中国人口迁移率趋势及社会经济差异。中国的迁移转变在宏观趋势上与中国的政治经济变迁高度一致。与死亡和生育转变相比,其波折性更强,说明更易受到经济社会政策变化的冲击。同时也观察到逢“0”和逢“5”年份的申报偏好。另外,迁移的社会经济差异明显。男性迁移率高于女性,但是两性差异在不断缩小;乡城迁移和未婚迁移大幅度增长;而越来越多受教育程度较高人群加入迁移,使得受教育程度越高的人群具有越高的迁移率。可以认为基于迁移率的考察揭示了中国迁移转变更具体生动的过程。     

Coordinated approaches to large-scale movements of people: contributions of the Paris Agreement and the Global Compacts for migration and on refugees

It is not yet clear how climate change will affect the structural constraints and spatial and social complexity that affect population movements in the future. Today, countries of origin, transit, and destination have reached a juncture. The UNFCCC Paris Agreement adds value to decisions these countries face by helping them explore possible scenarios for impacts that include large movements of people that could be associated with a rise in global average temperatures between 1.5 and 2 °C above pre-industrial levels. Climate policy and mainstream migration and refugee policy are developing recommendations by the end of 2018 that, together, will provide new contours for governing human mobility in the twenty-first century. This paper compares work on human mobility under the United Nations Framework Convention on Climate Change (UNFCCC) and how climate change features in the initial drafts of the Global Compact for Safe, Orderly and Regular Migration (GCM) and the Global Compact on Refugees (GCR). The international community can choose not to include such future considerations, missing opportunities to avert risks of involuntary movements of people as climate change impacts intensify. Alternatively, the international community can help countries to preempt risks arising from governance gaps and climate impacts, incorporate climate and mobility considerations in planning, and establish contingency arrangements for large-scale movements of people. A measure of efficacy in coordinating responses to large-scale movements of people will be the degree to which both state and non-state actors take up the recommendations of the Task Force on Displacement, how the Global Compact for Migration is negotiated, and the degree to which states utilize the Comprehensive Refugee Response Framework as climate and other dynamics unfold in future years.     

The uneven geography of research on “environmental migration”

Climate change and environmental hazards affect the entire world, but their interactions with—and consequences on—human migration are unevenly distributed geographically. Research on climate and migration have their own geographies which do not necessarily coincide. This paper critically confronts these two geographies by presenting the first detailed mapping of research in the field of environmentally induced migration. After a brief review of the geography of research on climate change, the paper presents an overview of nearly 50 years of case studies on the basis of CliMig, a bibliographic database of 1193 scientific papers and books on climate/environmental change and migration, among them 463 empirical case studies. We analyze the locations of these case studies, the academic affiliations of their researchers, and the origin of their funding. Mapping the locations of case studies worldwide points toward blind spots in the research and identifies “overstudied” areas. We describe the methodologies used in the studies and present a typology of environmental hazards. Our results show that research on environmental migration is mainly done in countries of the Global South, whereas climate science research in general is focused on countries of the Global North. We contend that the peculiar geography of environmental migration cannot be explained solely by the uneven vulnerability of southern populations to the environment. It must also be understood through the lens of post-colonial and securitization studies as the result of a framing of “environmental refugees” (and refugees in general) as an intrinsically “southern problem” and as a security risk for the North. This paper is an original contribution to the literature on the North-South divide in scientific research and will help to outline future directions of investigation.     

Racial residential segregation in the sun belt

In recent years demographic researchers have devoted considerable attention to two topics: (1) migration to the sun belt and (2) racial and economic transformation of neighborhoods. This study addresses both, and develops a theoretical and analytical model to test the relationship of intra-urban and inter-urban migration patterns as they relate to race and social class. The study measures and analyzes patterns of racial and economic transition in neighborhoods for two Oklahoma SMSAs. Comparisons are made between differential degrees of residential segregation accounted for by in-migrants, utilizing U.S. Census tracts for 1970 and 1980. The model, once specified and evaluated, demonstrates that patterns and factors traditionally associated with residential segregation may have less relevance forsun belt cities in the coming decades.     

Applications of the Capability Approach in the Health Field: A Literature Review

The scientific understanding of the causes of global warming is based on a vast body of rigorous, peer-reviewed research, but there is little systematic empirical evidence on consequences for humans. Using direct questions about satisfaction with winter and with summer weather, I show that warming’s effects on subjective well-being can be reliably estimated from cross-sectional survey data across a broad temperature spectrum and, moreover, that these effects are large. Combining a US national survey (N = 2295) and standard National Oceanic and Atmospheric Administration data on actual month-by-month temperatures at each location over many years, shows that changes to be expected from the widely discussed, allegedly “dangerous”, 2 °C of global warming are both familiar and small, equivalent to moving from Wisconsin to Michigan, or Virginia to North Carolina, or more generally 180 miles south. Such warming will greatly increase Americans’ satisfaction with winter weather, especially in the north, but somewhat decrease satisfaction with summer weather in both north and south. On balance, the nation benefits slightly. Regional differences are large, with northerners’ gains roughly equivalent to a 1–2 % increase in their GDP, while southerners losses are about the same size. These changes are important, about as large as the combined financial implications of all other aspects of global warming. They have important policy implications, suggesting that prompt action to reduce carbon emissions may not be optimal because that would restrict warming both in the summer and in the south (gains) but also in the winter and in the north (losses).     

The role of demography on per capita output growth and saving rates

Computable general equilibrium (CGE) models and “convergence models” differ in their assessment of the extent to which demography influences economic growth. Here, I show that CGE models produce results similar to those of convergence models when more detailed demographic information is used. To do so, I implement a CGE model to explain Taiwan’s economic miracle during the period 1965–2005. I find that Taiwan’s demographic transition accounts for 22 % of per capita output growth and 17.7 % of investment rate for the period 1965–2005. Moreover, this paper confirms most of the literature written on the role of demography on per capita output growth and saving rates since the seminar article by Coale and Hoover (1958).     

How is internal migration reshaping metropolitan populations in Latin America? A new method and new evidence

Internal migration is a key driver of patterns of human settlement and socio-economic development, but little is known about its compositional impacts. Exploiting the wide availability of census data, we propose a method to quantify the internal migration impacts on local population structures, and estimate these impacts for eight large Latin American cities. We show that internal migration generally had small feminizing, downgrading educational, and demographic window effects: reducing the local sex ratio, lowering the average years of schooling, and raising the share of working-age population due to an increased young adult population. Over time, a rise in the proportion of males and a drop in the share of the young adult population moving into cities reduced the feminizing and demographic window effects. Concurrently, a rise in the average years of schooling associated with people moving into cities attenuated the downgrading impact of internal migration on local education levels.     

Understanding the demographic implications of climate change: estimates of localized population predictions under future scenarios of sea-level rise

Significant advances have been made to understand the interrelationship between humans and the environment in recent years, yet research has not produced useful localized estimates that link population forecasts to environmental change. Coarse, static population estimates that have little information on projected growth or spatial variability mask substantial impacts of environmental change on especially vulnerable populations. We estimate that 20 million people in the United States will be affected by sea-level rise by 2030 in selected regions that represent a range of sociodemographic characteristics and corresponding risks of vulnerability. Our results show that the impact of sea-level rise extends beyond the directly impacted counties due to migration networks that link inland and coastal areas and their populations. Substantial rates of population growth and migration are serious considerations for developing mitigation, adaptation, and planning strategies, and for future research on the social, demographic, and political dimensions of climate change.     

Recovery migration to the City of New Orleans after Hurricane Katrina: a migration systems approach

Hurricane Katrina’s effect on the population of the City of New Orleans provides a model of how severe weather events, which are likely to increase in frequency and strength as the climate warms, might affect other large coastal cities. Our research focuses on changes in the migration system—defined as the system of ties between Orleans Parish and all other U.S. counties—between the pre-disaster (1999–2004) and recovery (2007–2009) periods. Using Internal Revenue Service county-to-county migration flow data, we find that in the recovery period, Orleans Parish increased the number of migration ties with and received larger migration flows from nearby counties in the Gulf of Mexico coastal region, thereby spatially concentrating and intensifying the in-migration dimension of this predominantly urban system, while the out-migration dimension contracted and had smaller flows. We interpret these changes as the migration system relying on its strongest ties to nearby and less-damaged counties to generate recovery in-migration.     

Effects of changes in rainfall and temperature on age- and sex-specific patterns of rural-urban migration in sub-Saharan Africa

We evaluate how changes in weather patterns affected rural-urban migration across 41 sub-Saharan African countries, by age and sex, over the 1980–2015 period. We combine recent age- and sex-specific estimates of net rural-urban migration with historical data on rainfall and temperature from the Climate Research Unit (CRU). We also compare standard unweighted estimates of rainfall and temperature to estimates weighted by the proportion of the country’s total rural population in the CRU grid. Results show that rural out-migration of young adults is the most sensitive to shifts in weather patterns, with lower rainfall, lower variability in rainfall, and higher temperatures increasing subsequent rural out-migration—though the last of these is not observed in weighted models. The strength of these effects has grown stronger over time for 20–24 year olds, though weaker above age 30. In contrast, increasing temperature variability is associated with a higher rural in-migration of children (0–9) and older adults (55–64). Gender differences in these effects are minimal and concentrated in areas which experienced heavy reductions in rainfall.

     

The Impact of Migration on Fertility under China’s Underlying Restrictions: A Comparative Study Between Permanent and Temporary Migrants

Compared with that in other countries, the issue of fertility in China is more complicated because of its restriction policy or system. Several major hypotheses have been proposed to explain and predict the impact of migration on China’s fertility regardless of China’s real situation. Therefore, this paper analyzes the impact of migration on fertility considering China’s underlying restrictions using the data from the Chinese General Social Survey carried out in 2008. The social class in this study was divided into two, namely urban class and rural class. By building the 2 × 2 mobility tables and the diagonal mobility model, the study determined the impact of migration on fertility and analyzed the influence of some restrictions, such as family planning, traditional fertility concept, and household registration system. Results show that migration greatly affects fertility: upward migration (i.e., from rural to urban) may decrease the fertility, whereas downward migration (i.e., from urban to rural) may increase it. The degree of decline on fertility is greater than that of increase. Family planning still plays a role in fertility decline. Traditional concepts on fertility, for example, bringing up sons to take care of parents in their old age and preferring boys to girls, are anchored on the people’s mind, which is detrimental to the stability of the fertility rate. Moreover, the household registration system primarily influences the fertility behavior of temporary migration, with a negative relationship between them.     

The development and use of demographic models

In this review, we first examine two classical demographic models - conventional life tables and stable populations - and a modern generalization of stable population theory; we then discuss mathematical models of conception and birth. These models involve purely mathematical relations in formal demography as opposed to empirical regularities. Next we consider model age schedules of mortality, nuptialitiy, marital fertility, fertility, and migration that are explicitly based on such empirical patterns. We close this empirical section with a discussion of model stable populations, which are based on model life tables. We next examine the use of demographic models in forecasting future mortality, nuptiality, and fertility and in population projection. Following a discussion of microsimulation models, which gives us the opportunity to mention model age schedules of post partum amenorrhoea and of sterility, we close with observations about the purposes and uses of demographic models.     

Do Rainfall Deficits Predict U.S.-Bound Migration from Rural Mexico? Evidence from the Mexican Census

Environmental and climatic changes have shaped human mobility for thousands of years and research on the migration-environment connection has proliferated in the past several years. Even so, little work has focused on Latin America or on international movement. Given rural Mexico’s dependency on primary sector activities involving various natural resources, and the existence of well-established transnational migrant networks, we investigate the association between rainfall patterns and U.S.-bound migration from rural locales, a topic of increasing policy relevance. The new economics of labor migration theory provides background, positing that migration represents a household-level risk management strategy. We use data from the year 2000 Mexican census for rural localities and socioeconomic and state-level precipitation data provided by the Mexican National Institute for Statistics and Geography. Multilevel models assess the impact of rainfall change on household-level international out-migration while controlling for relevant sociodemographic and economic factors. A decrease in precipitation is significantly associated with U.S.-bound migration, but only for dry Mexican states. This finding suggests that programs and policies aimed at reducing Mexico-U.S. migration should seek to diminish the climate/weather vulnerability of rural Mexican households, for example by supporting sustainable irrigation systems and subsidizing drought-resistant crops.     

Impact of demographic variables on women’s economic empowerment: An ordered probit model

The present study aimed to empirically examine the demographic variables that determine women’s economic empowerment. A sample of 500 married women between 21 and 49 years old (M_age = 35.49, SD = 7.66) was conveniently selected from district Multan (Pakistan). Control over economic resources was used as a proxy for women’s economic empowerment. Ordered probit regression was run to assess the demographic determinants (i.e., age, education, paid job, income, and property) of economic empowerment of the least empowered, moderately empowered, and highly empowered women. Paid job, age, income, and property appeared as positive and significant predictors of women’s economic empowerment. Implications of the study were also discussed.     

Natural disasters and local demographic change in the United States

Classic studies on local demographic consequences of natural disasters in the United States are now more than 30 years old, raising questions about how and to what extent relevant patterns have changed over intervening years, as the number and cost of recorded environmental hazards have increased. This study examines these questions at the county level for the nation as a whole, using recent census and hazards data in conjunction with statistical methods that account for spatial dependencies among neighboring counties. Results indicate a positive correlation between cumulative disaster impact during the 1990s and changes in local population and housing units; they also reveal patterns of increased socioeconomic polarization among local residents. These findings differ from earlier studies and put recent case studies in broader context, suggesting that current disaster recoveries contribute to the growth of larger and more unequal populations in environmentally hazardous places.     

Population dynamics in Germany: the role of immigration and population momentum

The effects of changes in rates of mortality, fertility, and migration depend not only on the age-specific patterns and levels of these rates, but on the age structure of the population. In order to remove the influences of the age structure and concentrate on the effects of the demographic rates themselves, a common practice is to analyze the influences of the rates for a standard age structure. This paper analyzes current and future population changes in Germany, using a stationary population equivalent model (SPE) that shows long-term effects of current fertility, mortality, and international migration patterns. Results indicate that the German population will eventually decline because of below replacement fertility, if net immigration does not counteract this decrease. This means, for instance, that the long-term stationary population levels for Germany will decrease by approximately 6.5 million during a decade in which current fertility, mortality, and international migration levels prevail. The paper also reports how various other assumptions for mortality, fertility, and international migration affect the SPE model for Germany.     

Replacement Migration: A Questionable Tactic for Delaying the Inevitable Effects of Fertility Transition

This article critiques a recent U.N. Population Division report, Replacement Migration: Is it a Solution to Declining and Ageing Populations? The report explores the use of increased immigration to bolster future population size and change age distribution patterns in a group of developed countries. Fertility rate declines and lengthening life expectancies associated with demographic transition inevitably yield an aging population and a falling potential support ratio (PSR), a situation which some demographers and economists view with alarm. As the U.N. report itself suggests, replacement migration can only temporarily delay population aging and decline. These issues are ultimately better addressed through changes in retirement policy. Population projections should be used only with great caution in designing long-term demographic policy. In particular, some assumptions used to make the U.N. projections are questionable, and even minor changes in those assumptions would yield substantially different policy conclusions. Replacement migration also raises difficult environmental questions by moving large numbers of people from low to high per-capita consumption nations. Modest population decline, particularly in more developed countries, may have significant local and global environmental and climate policy benefits.