Measuring social equity in flood recovery funding. (26th May 2020)
- Record Type:
- Journal Article
- Title:
- Measuring social equity in flood recovery funding. (26th May 2020)
- Main Title:
- Measuring social equity in flood recovery funding
- Authors:
- Emrich, Christopher T.
Tate, Eric
Larson, Sarah E.
Zhou, Yao - Abstract:
- ABSTRACT: Deconstructing causal linkages between place attributes and disaster outcomes at coarse scales like zip codes and counties is difficult because heterogeneous socio-economic characteristics operating at finer scales are masked. However, capturing detailed disaster outcomes about individuals and households for large areas can be equally complicated. This dichotomy highlights the need for a more nuanced and empirically-driven approach to understanding financial disaster recovery support. This study assessed how social characteristics influenced federal disaster recovery support following the 2015 South Carolina floods. Ordinary linear and spatial regression models provided a mechanism for pinpointing statistically significant links between individual/compound vulnerabilities and resource distribution from four federal disaster response and recovery programmes. The study makes two unique contributions. First, exploration of how social characteristics influence recovery support is a critical, yet understudied path toward fair and equitable disaster recovery. Second, finer scale inquiry across a large impact area is rare in quantitative case studies of US disasters. While we found flood recovery assistance to be strongly associated with physical damage overall the relationship was more tenuous in places with higher social vulnerability. Results indicate that future disaster recovery programs focusing on both physical damage and social vulnerable would lead to a moreABSTRACT: Deconstructing causal linkages between place attributes and disaster outcomes at coarse scales like zip codes and counties is difficult because heterogeneous socio-economic characteristics operating at finer scales are masked. However, capturing detailed disaster outcomes about individuals and households for large areas can be equally complicated. This dichotomy highlights the need for a more nuanced and empirically-driven approach to understanding financial disaster recovery support. This study assessed how social characteristics influenced federal disaster recovery support following the 2015 South Carolina floods. Ordinary linear and spatial regression models provided a mechanism for pinpointing statistically significant links between individual/compound vulnerabilities and resource distribution from four federal disaster response and recovery programmes. The study makes two unique contributions. First, exploration of how social characteristics influence recovery support is a critical, yet understudied path toward fair and equitable disaster recovery. Second, finer scale inquiry across a large impact area is rare in quantitative case studies of US disasters. While we found flood recovery assistance to be strongly associated with physical damage overall the relationship was more tenuous in places with higher social vulnerability. Results indicate that future disaster recovery programs focusing on both physical damage and social vulnerable would lead to a more equitable disaster recoveries. Findings provide new understanding of equity at the intersection of social vulnerability, impacts, and disaster recovery and showcase both best-practices and areas for programme improvements for future disasters. … (more)
- Is Part Of:
- Environmental hazards. Volume 19:Number 3(2020)
- Journal:
- Environmental hazards
- Issue:
- Volume 19:Number 3(2020)
- Issue Display:
- Volume 19, Issue 3 (2020)
- Year:
- 2020
- Volume:
- 19
- Issue:
- 3
- Issue Sort Value:
- 2020-0019-0003-0000
- Page Start:
- 228
- Page End:
- 250
- Publication Date:
- 2020-05-26
- Subjects:
- Flood recovery -- disaster assistance -- social vulnerability -- social equity -- distributive equity
Environmental disasters -- Periodicals
Environmental disasters -- Prevention -- Periodicals
Natural disasters -- Periodicals
Natural disasters -- Prevention -- Periodicals
Environmental protection -- Periodicals
363.7005 - Journal URLs:
- http://www.earthscan.co.uk/JournalsHome/EHAZ/tabid/37213/Default.aspx ↗
http://www.ingentaconnect.com/content/earthscan/ehaz ↗
http://www.tandfonline.com/toc/tenh20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/17477891.2019.1675578 ↗
- Languages:
- English
- ISSNs:
- 1747-7891
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3791.476600
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13653.xml