Country logistics performance and disaster impact
Datos Bibliográficos
| ID | 3897503 |
|---|---|
| Autores | Alain Vaillancourt (0000-0001-5242-5981, PhD Candidate and Researcher, HUMLOG Institute Hanken School of Economics Helsinki Finland, autor de correspondencia), Ira Haavisto (0000-0002-6948-845X, Post‐doctoral Researcher and Director, HUMLOG Institute Hanken School of Economics Helsinki Finland) |
| Año | 2016 |
| Volumen | 40 |
| Número | 2 |
| Páginas | 262-283 |
| Fecha de publicación | 2016-04-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Disasters (JOURNAL) |
| Identificadores de la revista | ISSN: 0361-3666 • E-ISSN: 1467-7717 |
| Editorial | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/disa.12146 |
| PMID | 26282578 |
| OpenAlex | W1936624765 |
| Idioma | EN |
| Citas recibidas | 5 |
| Referencias citadas | 54 |
The aim of this paper is to deepen the understanding of the relationship between country logistics performance and disaster impact. The relationship is analysed through correlation analysis and regression models for 117 countries for the years 2007 to 2012 with disaster impact variables from the International Disaster Database (EM-DAT) and logistics performance indicators from the World Bank. The results show a significant relationship between country logistics performance and disaster impact overall and for five out of six specific logistic performance indicators. These specific indicators were further used to explore the relationship between country logistic performance and disaster impact for three specific disaster types (epidemic, flood and storm). The findings enhance the understanding of the role of logistics in a humanitarian context with empirical evidence of the importance of country logistics performance in disaster response operations
Business · Context (archaeology · Empirical research · Geography · Humanitarian Logistics · Logistic regression · Process management · Statistics · Computer Science · Disaster Management and Resilience · Facility Location and Emergency Management · Supply Chain Resilience and Risk Management
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| Obras citantes distintas | 5 |
|---|---|
| Citas por año | 0,83 |
| Intervalo de citas | 2020 - 2025 (6) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 5 |