Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Household resilience to climate change hazards in Uganda
Department of Geography, Geo-Informatics, and Climatic Sciences, Makerere University, Uganda; Department of Physical Geography and Ecosystem Science, Lund University, Sweden; Department of Geography, Gulu University, Uganda.
Department of Earth Sciences, Centre of Natural Hazards and Disaster Science, Uppsala University, Sweden.
Department of Earth Sciences, Centre of Natural Hazards and Disaster Science, Uppsala University, Sweden.
Department of Geography, Geo-Informatics, and Climatic Sciences, Makerere University, Uganda.
Show others and affiliations
2020 (English)In: International Journal of Climate Change Strategies and Management, ISSN 1756-8692, E-ISSN 1756-8706Article in journal (Refereed) Epub ahead of print
Abstract [en]

Purpose – As climate change shocks and stresses increasingly affect urban areas in developing countries, resilience is imperative for the purposes of preparation, recovery and adaptation. This study aims to investigate demographic characteristics and social networks that influence the household capacity to prepare, recover and adapt when faced with prolonged droughts or erratic rainfall events in Mbale municipality in Eastern Uganda.

Design/methodology/approach – A cross-sectional research design was used to elicit subjective opinions. Previous studies indicate the importance of subjective approaches for measuring social resilience but their use has not been well explored in the context of quantifying urban resilience to climate change shocks and stresses. This study uses 389 structured household interviews to capture demographic characteristics, social networks and resilience capacities. Descriptive and inferential statistics were used for analysis.

Findings – The ability of low-income households to meet their daily expenditure needs, household size, and networks with relatives and non government organizations (NGOs) were significant determinants of preparedness, recovery and adaptation to prolonged droughts or erratic rainfall events.

Practical implications – The results imply that policymakers and practitioners have an important role vis-à-vis encouraging activities that boost the ability of households to meet their daily expenditure needs, promoting small household size and reinforcing social networks that enhance household resilience.

Originality/value – Even the low-income households are substantially more likely to prepare for and recover from prolonged droughts or erratic rainfall events if they can meet their daily expenditure needs. This finding is noteworthy because the poorest in society are generally the most vulnerable to hazards.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2020.
Keywords [en]
resilience, drought, urban, networks, rainfall, demographic
National Category
Other Earth and Related Environmental Sciences
Identifiers
URN: urn:nbn:se:fhs:diva-8859DOI: 10.1108/IJCCSM-10-2018-0069OAI: oai:DiVA.org:fhs-8859DiVA, id: diva2:1377406
Available from: 2019-12-11 Created: 2019-12-11 Last updated: 2020-01-19

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records BETA

Albrecht, Frederike

Search in DiVA

By author/editor
Albrecht, Frederike
In the same journal
International Journal of Climate Change Strategies and Management
Other Earth and Related Environmental Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 10 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf