Do non-governmental organisations’ socio-economic and training programmes improve disaster prevention capacity of their beneficiaries
Bibliographic Data
| ID | 9973527 |
|---|---|
| Authors | Mohammad Aktaruzzaman Khan (0000-0002-5486-3958, Universiti Sains Malaysia, Malaysia; International Islamic University Chittagong, Bangladesh, corresponding author), Anees Janee Ali (0000-0003-1752-0611, Universiti Sains Malaysia, Malaysia) |
| Year | 2015 |
| Volume | 58 |
| Issue | 3 |
| Pages | 401-420 |
| Publication date | 2015-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Social Work (JOURNAL) |
| Journal identifiers | ISSN: 0020-8728 • E-ISSN: 1461-7234 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/0020872815570074 |
| OpenAlex | W2026373431 |
| Language | EN |
| Citations received | 5 |
| References cited | 58 |
This study examines the relationship between non-governmental organisations’ (NGOs) socio-economic and training programmes and their beneficiaries’ coping capacity during natural disasters. NGOs are the most active force supporting community welfare programmes in dealing with vulnerable clients during disasters. This study utilises both qualitative and quantitative techniques based on multi-staged stratified sampling using multiple regression analysis. The results indicate that NGOs’ training reaction significantly improves their clients’ disaster prevention capacity. This finding implies that NGOs should put greater emphasis on socio-economic programmes as well as training programmes
Business · Capacity building · Coping (psychology · Economic growth · Economics · Emergency management · Geography · Natural disaster · Political science · Public relations · Qualitative property · Qualitative research · Sociology · Stratified sampling · Training (meteorology · Welfare · Agricultural risk and resilience · Disaster Management and Resilience · Disaster Response and Management · Medicine · Psychology
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| Unique citing works | 5 |
|---|---|
| Citations per year | 0,56 |
| Citation span | 2017 - 2022 (6) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 5 |