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Country logistics performance and disaster impact
Alain Vaillancourt1, Ira Haavisto2
1PhD Candidate and Researcher, HUMLOG Institute, Hanken School of Economics, Helsinki, Finland.
Disasters
|August 19, 2015
Summary
Strong country logistics performance significantly reduces disaster impact. This study analyzed 117 countries, finding logistics indicators crucial for effective disaster response and humanitarian aid.
Area of Science:
- Disaster Management and Logistics
- International Development and Humanitarian Aid
- Supply Chain Resilience
Background:
- Disaster impact is influenced by various factors, including a nation's logistical capabilities.
- Effective humanitarian aid delivery relies heavily on robust logistics infrastructure.
- Previous research has not fully quantified the relationship between national logistics performance and disaster outcomes.
Purpose of the Study:
- To investigate the correlation between country-level logistics performance and the impact of disasters.
- To identify specific logistics indicators that most significantly mitigate disaster effects.
- To provide empirical evidence on the role of logistics in disaster response operations.
Main Methods:
- Correlation analysis and regression models were employed.
- Data from 117 countries between 2007-2012 were utilized.
- Disaster impact data from the International Disaster Database (EM-DAT) and logistics performance indicators from the World Bank were used.
Main Results:
- A significant overall relationship was found between country logistics performance and disaster impact.
- Five out of six specific logistics performance indicators showed a significant association with disaster impact.
- The relationship was further explored for epidemic, flood, and storm disasters.
Conclusions:
- Country logistics performance is a critical determinant of disaster impact.
- Improving specific logistics indicators can enhance a nation's resilience to disasters.
- Empirical evidence supports the importance of logistics in humanitarian contexts and disaster response.
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