Climate variability and inter-provincial migration in South America, 1970–2011
Introduction
The effects of catastrophic events (e.g., extreme drought and flooding) on migration in the developing world often draw the attention of the public and policymakers. However, human migration is also consistently linked to less visible but more pervasive forms of climate variability, such as increased temperature (Gray and Mueller, 2012a, Gray and Mueller, 2012b, Marchiori et al., 2012, Bohra-Mishra et al., 2014, Mueller et al., 2014). Although evidence of such effects is much more robust than it was only ten years ago, nearly all existing studies have been relatively narrow in geographic scope (for an exception see Gray and Wise, 2016). As well, diverse methodologies have been applied across these studies. As a result, the extent to which previous findings are generalizable across populations and contexts is an open question.
Our study addresses these limitations by quantifying human migration responses to climate variability using 25 rounds of census microdata from eight South American countries, and applying a common methodology and uniform definitions of migration and climate. This approach allows us to assess the extent to which climate change is affecting migration patterns across a very large geographic region—nearly an entire continent—and across multiple decades. We are also able to test for differences in climate effects according to affected individuals’ sex, age, educational attainment, country of residence, and the type of destination (i.e., urban or rural). Attention to heterogeneity in climate effects is important for our understanding of behavioral responses to environmental change. Variations in response to similar changes in climate suggest systematic differences in the adaptation mechanisms that affected individuals are able or likely to use. Studying such patterns is merited since understanding the contours of how response patterns are distributed is a requisite for designing effective social protection policies vis-à-vis climate impacts. Evidence regarding the composition of climate-induced migration is also necessary to assess the likely social and economic consequences of these migration streams. Recent evidence shows that environmentally-induced migration in developing countries can bear negative consequences on the wages of residents in the receiving communities (Strobl and Valfort, 2015, Maystadt et al., 2016). Yet exactly who these migrants will affect depends on where they go and what skillset they bring to the destination, a question that has motivated large bodies of research on migration in general (Aydemir and Borjas, 2007, Sjaastad, 1962, Todaro, 1969). We begin to address this issue here by considering the characteristics of environmentally-induced migrants and the type of destinations they are moving to.
The remainder of the paper proceeds as follows. In the next section, we review existing evidence regarding climate effects on migration and identify key substantive and methodological limits to existing knowledge. We then outline our research objectives, data, and methodology. Next, we present our estimates of overall climate effects on inter-province migration, and test for heterogeneity across demographic groups. We then present estimates of climate effects on inter-province migration by the rural/urban status of destination using a subset of the data that includes information on destinations. As a final set of analyses, we assess whether the effects of climate variability on inter-province migration vary by country and historical climate conditions. We conclude by discussing our results and identifying implications for future research on this topic.
Section snippets
Climate and migration
As consensus formed around evidence of global anthropogenic climate change, concerns about climate-related migration—and so-called climate or environmental refugees—became increasingly widespread (Myers, 1997). While human migration continues to be one of the main social impacts of climate change, a more nuanced and evidence-based perspective has largely replaced predictions that climate change will uniformly cause large scale (and international) population movements (Black et al., 2011,
Research objectives
Diversity among existing findings regarding whether and how climatic conditions affect migration reflects institutional and agro-ecological differences across the contexts in which prior studies have taken place. However, previous research has also employed different, and in most cases non-comparable, data and methods. Given that estimates of climate effects on migration are sensitive to how variability in conditions is conceptualized and measured (Auffhammer et al., 2013, Hsiang, 2016), it is
Data
We use two secondary data sources for our analysis. First, we extracted multiple rounds of census data from the Integrated Public Use Microdata Series-International (IPUMS-International) (Minnesota Population Center, 2015). Using these data, we create a dataset that includes indicators of migration status, individual characteristics (age, sex, and primary school attainment) and location on census day and five years prior. All observations in our analytic sample include an indicator variable
Empirical strategy
We estimate a series of logistic regression models applied to our dataset to measure individual migration responses to climate variability. We control for exogenous individual characteristics (age, sex, and primary school attainment) and climate variability by including a set of variables Xi(t)p,t. We also include fixed effects for p origin province and d census-decade, with decades defined as ten year intervals starting from 1970. We control for common temporal changes on this ten-year basis
Descriptive statistics
We begin by describing key variables in our analysis (Table 1). Migration and climatic conditions are the primary variables of interest. The 5-year inter-province migration rate is 5.1 per 100. Our supplementary analyses also consider inter-province migration by the rural/urban status of destination. Less than one-fifth of inter-province moves for which we have information about the type of destination went to rural areas (rate = 0.9 per 100), with a large majority moving to urban areas (rate = 4.0
Discussion and conclusion
In this paper, we evaluate the effects of climatic variability on human migration in eight South American countries, considering the effects of prolonged or repeated shocks and anomalous conditions over multi-year periods. The entirety of our results offers a complex picture of climate-migration linkages in the region, with impacts contingent upon the climate phenomenon in question, migration outcome examined, and national or demographic sub-population considered.
A number of notable patterns
Acknowledgements
Earlier versions of this paper were presented at the 2016 annual meeting of the Population Association of America, Washington, DC; and the 2016 workshop on Climate, Migration, and Health: Connections Through Urbanization in Latin America, Institute for Behavioral Studies, University of Colorado-Boulder. The authors acknowledge the constructive comments of Mark Montgomery and participants at the Boulder workshop. Brian Thiede acknowledges the support of the Louisiana Board of Regents Support
References (81)
Vulnerability
Global Environ. Change
(2006)- et al.
The impact of income and non-income shocks on child labor: evidence from a panel survey of Tanzania
World Dev.
(2015) - et al.
Climatic change and rural-urban migration: the case of Sub-Saharan Africa
J. Urban Econ.
(2006) - et al.
Child labor and agricultural shocks
J. Dev. Econ.
(2006) - et al.
The effect of environmental change on human migration
Global Environ. Change
(2011) - et al.
The roles of destination, gender, and household composition in explaining remittances: an analysis for the Dominican Sierra
J. Dev. Econ.
(2002) - et al.
Determinants of farmers’ choice of adaptation methods to climate change in the Nile basin of Ethiopia
Global Environ. Change
(2009) - et al.
Measuring the environmental dimensions of human migration: the demographer’s toolkit
Global Environ. Change
(2014) - et al.
Drought and population mobility in rural Ethiopia
World Dev.
(2012) Environment, land, and rural out-migration in the southern Ecuadorian Andes
World Dev.
(2009)
Are the poor less well insured? Evidence on vulnerability to income risk in rural China
J. Dev. Econ.
The potential impacts of climate change on maize production in Africa and latin America in 2055
Global Environ. Change
Consumption smoothing? Livestock insurance, and drought in rural Burkina Faso
J. Dev. Econ.
The impact of weather anomalies on migration in Sub-Saharan Africa
J. Environ. Econ. Manage.
Amplification or suppression: social networks and the climate change-migration association in rural Mexico
Global Environ. Change
Urban growth and uninsured rural risk: booming towns in bust times
J. Dev. Econ.
Climate change-induced migration and violent conflict
Polit. Geogr.
Ex ante and ex post labor supply response to risk in a low-income area
J. Dev. Econ.
Spatial variation of crop yield response to climate change in East Africa
Global Environ. Change
Climate change, weather variability, and corn yield at a higher latitude locale: southwestern Quebec
Clim. Change
Using weather data and climate model output in economic analyses of climate change
Rev. Environ. Econ. Policy
Cross-country variation in the impact of international migration: Canada, Mexico, and the United States
J. Eur. Econ. Assoc.
Migration and climate change: examining thresholds of change to guide effective adaptation decision-making?
Popul. Environ.
Toward a theory of resilience for international development applications
Proc. Natl. Acad. Sci.
Nonlinear permanent migration response to climatic variations but minimal response to disasters
Proc. Natl. Acad. Sci.
Adaptation to climate change: evidence in US agriculture
Am. Econ. J. Econ. Policy
Global non-linear effect of temperature on economic production
Nature
The economics of poverty traps and persistent poverty: an asset-based approach
J. Dev. Stud.
Intraregional migration in South America: trends and a research agenda
Ann. Rev. Sociol.
Population recovery in new orleans after hurricane katrina: exploring the potential role of stage migration in migration systems
Popul. Environ.
Temperature shocks and economic growth: evidence from the last half century
Am. Econ. J.: Macroecon.
What do we learn from the weather? The new climate-economy literature
J. Econ. Lit.
Growth and shocks: evidence from rural Ethiopia
J. Dev. Econ.
Natural disaster hotspots: a global risk analysis
Disaster Risk Management Series No. 5
Migratory responses to agricultural risk in Northern Nigeria
Am. J. Agric. Econ.
Farming Systems and Poverty: Improving Farmers’ Livelihoods in a Changing World
Does drought increase migration? A study of migration from rural Mali during the 1983–1985 drought
Int. Migr. Rev.
Homeownership and housing displacement after Hurricane Katrina among low-income African-American mothers in New Orleans
Soc. Sci. Q.
Temperature and human capital in the short-and long-run. Working paper 21157
Natural disaster and population mobility in Bangladesh
Proc. Natl. Acad. Sci.
Cited by (98)
Leave for where? The impact of air quality on migration: Evidence at the city-pair level in China
2023, Economics and Human BiologyProactive policy options for drought resilience in the Sahel region
2023, Journal of Arid EnvironmentsRainfall variability and internal migration: The importance of agriculture linkage and gender inequality
2023, Economic Analysis and PolicyCitation Excerpt :However, there is no consensus on how climate change induces or subsumes migration. While some studies find climate change influences international migration (e.g., Backhaus et al. (2015), Beine and Parsons (2017), Cattaneo and Peri (2016) and Coniglio and Pesce (2015)) and internal migration (e.g., Bohra-Mishra et al. (2014), Dallmann and Millock (2017) and Thiede et al. (2016)), others find little or no evidence at all (e.g., Di Falco et al. (2012), Gray and Bilsborrow (2013), Ruyssen and Rayp (2014), Beine and Parsons (2015), Gröschl and Steinwachs (2017) and Goldbach (2017)). Among the most affected countries, Vietnam has emerged as a prime example to study the impacts of climate change.
Perceived risk of child mortality and fertility choices in climate-vulnerable regions of Bangladesh
2024, Humanities and Social Sciences CommunicationsRelationship among weather variation, agricultural production, and migration: A systematic methodological review
2024, Health Science Reports