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Gender Dimensions and Women's Vulnerability in Disaster Situations: A Case Study of Flood Prone Areas Impacting Women in Malabon City, Metro Manila
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Gender Dimensions and Women's Vulnerability in Disaster Situations: A Case Study of Flood Prone Areas Impacting Women in Malabon City, Metro Manila
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Journal Article
Gender Dimensions and Women's Vulnerability in Disaster Situations: A Case Study of Flood Prone Areas Impacting Women in Malabon City, Metro Manila
2017
Overview
Disasters are common in the Philippines, the effects of which are more adverse in the metropolis, characterized by population crowding and presence of geophysical hazards. Malabon City in Metro Manila is characterized by such risk factors to disasters. The target population of this study were women as they frequently remain at home while their husbands are out for work. The methodologies were both qualitative and quantitative through the use of key expert and subject interviews, and a survey questionnaire respectively. The objectives of the study were to look into the structure of Philippine disaster management, to investigate the role of institutions in the vulnerability of women to local disasters, and to identify the various experiences of disasters among women. The data showed that gender sensitivity was not included in reaching out to victims of disasters and that resilience is associated with reverting back to pre-disaster conditions without any mechanisms for preventing disasters. From the data, it can be surmised too that institutional intervention was not sufficient to mitigate the adverse effects of disasters due to its weak contribution to gendered social protection, the existence of politically induced discrimination, and the inadequacy of the services of the government. The vulnerability of households and communities to disaster occurrence is dependent on the interplay between natural and socio-economic conditions. In this interplay, the institutional role is vital in responding to mitigating natural disasters and to improve socio-economic conditions both before and after disasters.
