Country logistics performance and disaster impact
Bibliographic Data
| ID | 3897503 |
|---|---|
| Authors | Alain Vaillancourt (0000-0001-5242-5981, PhD Candidate and Researcher, HUMLOG Institute Hanken School of Economics Helsinki Finland, corresponding author), Ira Haavisto (0000-0002-6948-845X, Post‐doctoral Researcher and Director, HUMLOG Institute Hanken School of Economics Helsinki Finland) |
| Year | 2016 |
| Volume | 40 |
| Issue | 2 |
| Pages | 262-283 |
| Publication date | 2016-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Disasters (JOURNAL) |
| Journal identifiers | ISSN: 0361-3666 • E-ISSN: 1467-7717 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/disa.12146 |
| PMID | 26282578 |
| OpenAlex | W1936624765 |
| Language | EN |
| Citations received | 5 |
| References cited | 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
Balancing innovation and accountability
A systematic review of humanitarian supply chains performance measurement literature from 2007 to 2021
Can we prevent disasters using socioeconomic and political policy tools
Fifty years of peril
Adoption of a probabilistic network model investigating country risk drivers that influence logistics performance indicators
Data Against Disasters
Going Global
Humanitarian aid logistics
Humanitarian logistics in disaster relief operations
Economic development and the impacts of natural disasters
From emergency relief to livelihood recovery
A wave of destruction and the waves of relief
Securing disaster supply chains with cryptography enhanced RFID
Coordinating multi‐organisational responses to disaster
An overview on disasters
Issues in disaster relief
Preparing communities for disasters
Natural Disasters, Economic Development, and Humanitarian Aid
A place-based model for understanding community resilience to natural disasters
Empirical forecasting of slow-onset disasters for improved emergency response
Determinants of International Emergency Aid—Humanitarian Need Only
Natural Disasters and Growth
Earthquake Propensity and the Politics of Mortality Prevention
Natural disaster situations and growth
The macroeconomic consequences of disasters
Port efficiency, maritime transport costs, and bilateral trade
Flooding, vulnerability and coping strategies
Cyclone preparedness and response
The worldwide governance indicators
A dynamic model for costing disaster mitigation policies
New Organizational Approaches for Speeding Food Relief in International Disasters
Optimizing hurricane disaster relief goods distribution
Corruption in emergency procurement
In the aftermath of the Qa'yamat
Survivor needs or logistical convenience? Factors shaping decisions to deliver relief to earthquake-affected communities, Pakistan 2005-06
Re-framing Risk
Economic Crises and Natural Disasters
| Unique citing works | 5 |
|---|---|
| Citations per year | 0,83 |
| Citation span | 2020 - 2025 (6) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 5 |