Social vulnerability and local economic outcomes during the Covid-19 pandemic
Bibliographic Data
| ID | 7366589 |
|---|---|
| Authors | Jim Lee (0000-0002-9830-3012, corresponding author) |
| Year | 2023 |
| Volume | 10 |
| Issue | 1 |
| Pages | 845-869 |
| Publication date | 2023-11-09 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Regional Studies Regional Science (JOURNAL) |
| Journal identifiers | ISSN: 2168-1376 • E-ISSN: 2168-1376 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/21681376.2023.2274097 |
| OpenAlex | W4388532666 |
| Language | EN |
| Citations received | 2 |
| References cited | 34 |
This paper investigates factors associated with disparities in the exposure of US counties to the initial COVID-19 economic shock in early 2020 and their disparate economic recovery paths during the pandemic. We focus on three alternative composite measures of social vulnerability to disasters: the Centers for Disease Control and Prevention’s Social Vulnerability Index, the University of South Carolina’s Social Vulnerability Index and the Census Bureau’s Community Resilience Estimate. Empirical evidence under the conventional ‘global’ regression approach supports a cross-sectional correlation between the social vulnerability indices and local economic outcomes during the recovery phase, although the results are equivocal for characterising uneven local economic downturns triggered by the pandemic. Economic outcomes were dominated by other local characteristics, including population density, the share of hospitality employment, government policy measures and unobservable factors. In addition to validating the empirical relevance of the social vulnerability indices in the context of the COVID-19 pandemic, a geographically and temporally weighted autoregressive model offers insights into both disparate and clustering patterns across broad regions in the role of inherent sociodemographic attributes for characterising local economic dynamics over time
Climate change · Context (archaeology · Coronavirus disease 2019 (COVID-19 · Development economics · Disease · Economic growth · Economics · Geography · Pandemic · Population · Psychological resilience · Social vulnerability · Sociology · Vulnerability (computing · Vulnerability index · Demography · Disaster Management and Resilience · Medicine · Psychology · Regional resilience and development · Urban, Neighborhood, and Segregation Studies
Introduction to Spatial Econometrics
Estimation and Inference of Impulse Responses by Local Projections
Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices
Why different interpretations of vulnerability matter in climate change discourses
Geographical and Temporal Weighted Regression (GTWR)
The impact of the Covid-19 pandemic on the demand for density
How many jobs can be done at home?
Covid-19 economic impacts in perspective
The economic aftermath of Hurricanes Harvey and Irma
The Geography of Remote Work
Economic diversification and the resiliency hypothesis
Validating Resilience and Vulnerability Indices in the Context of Natural Disasters
The Economic Cost of Covid Lockdowns
A Shapley-based decomposition of the R-Square of a linear regression
A place-based model for understanding community resilience to natural disasters
Researching Volunteered Geographic Information
The geographies of community disaster resilience
Urban-Rural Differences in Disaster Resilience
How Valid Are Social Vulnerability Models
Assessing the Relationship Between Social Vulnerability and Community Resilience to Hazards
| Unique citing works | 2 |
|---|---|
| Citations per year | 1 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |