Learning From Natural Experiments to Accelerate Demographic Research on Climate-Related Threats to Human Populations

TL;DR

The paper explores how natural experiments from disasters can help understand climate-related threats to human populations and improve demographic research.

Contribution

The paper introduces a framework for using natural experiments to study climate impacts on population outcomes with novel design elements.

Findings

Measures of pre- and post-disaster outcomes improve understanding of disaster effects on health and wellbeing.

Multiple follow-up data waves and exposure variability measures yield novel insights into disaster impacts.

Linking administrative and survey data with hazard exposure data can expand research coverage and accelerate findings.

Abstract

Climate change has increased the destructive force of natural hazards and the occurrence of disasters that damage housing and infrastructure and threaten the health and wellbeing of human populations. Demographic research on disasters advances understanding of climate impacts on coastal populations exposed to tropical cyclones, storm surge, and flooding. However, rigorous study designs that allow for inferences about causal mechanisms are needed. We review natural experimental study design elements and research findings from four demographic surveys disrupted by large-scale disasters. Two studies focus on the effects of Hurricane Katrina on New Orleans’ population and the other two on the 2004 Indian Ocean and 2011 Tōhoku Tsunami effects in Indonesia and Japan, respectively. Three elements of the studies’ designs support the most novel findings: measures of pre- and post-disaster demographic and health outcomes; multiple post-disaster follow-up data waves; and measures of variability in hazard exposure and impact. Two other design elements, population representation and the existence of an unexposed control group, are less critical. Study results advanced knowledge of the effects of damage-related displacement on mental and physical health and wellbeing, as well as harder-to-observe effects of disaster exposure on mortality and fertility outcomes. Acknowledging that natural experiments are rare, we evaluate opportunities for research on hazard exposures and population outcomes using administrative data, existing panel surveys, and new retrospective surveys. Linkage of these data sources to hazard exposure data can expand geographic and population coverage in this field and accelerate understanding of climate-related impacts on population outcomes.

This article is categorized under:

The Social Status of Climate Change Knowledge > Sociology/Anthropology of Climate Knowledge

Assessing Impacts of Climate Change > Observed Impacts of Climate Change

Perceptions, Behavior, and Communication of Climate Change > Behavior Change and Responses