Based on Regression Models to Analyze the Role of Disaster Management Authorities in Disaster Prone Areas in Sindh
DOI:
https://doi.org/10.51872/prjah.vol8.Iss1.465Keywords:
Regression Models, Analysis, Disaster Management Authorities, Logistic Regression, Disaster Prone Areas, Disaster Risk ReductionAbstract
This research investigates the role of Disaster Management Authorities (DMA) in disaster-prone areas of Sindh, i.e., District Dadu. The area is exposed to Disasters such floods, heavy rain falls, droughts and heat waves frequently. This study aims to evaluate the operational role, preparedness capacity and response effectiveness of DMA in disaster-prone districts of Sindh. Additionally, a comprehensive review of theoretical, conceptual and empirical literature related to Disaster Risk Management (DRM) studies are also included in this paper. The study adopts mixed-method in research methodology to examine the role of DMA, including regression models. The study used two Binary logistic Regression models for empirical results; Community based model and DMA organization’s model. The research further presents empirical findings and their interpretation for evaluating the effectiveness of DMA operations in the selected district. The hypotheses testing further validate the results. The findings overall stress on the need of enhancing institutional capability of DMAs in Sindh. Moreover, this study provide recommendation of there should have integration of Community-based disaster risk reduction approach with institutional governance which will ultimately improve the preparedness, response, recovery outcomes in disaster-prone areas of Sindh, particularly in district Dadu.
References
United Nations Office for Disaster Risk Reduction. (2020). Human cost of disasters: An overview of the last 20 years (2000–2019). UNDRR. https://www.undrr.org/publication/human-cost-disasters-overview-last-20-years-2000-2019
United Nations Office for Disaster Risk Reduction. (2015). Sendai Framework for Disaster Risk Reduction 2015–2030. UNDRR. https://www.undrr.org/sendai-framework
United Nations Office for Disaster Risk Reduction. (2025). Global Assessment Report on Disaster Risk Reduction (GAR2025). UNDRR. https://www.undrr.org/publications
United Nations Development Programme. (2022). Integrating disaster risk reduction and climate adaptation for sustainable development. UNDP. https://www.undp.org/publications
Wen, Y. (2023). Climate change and hydro-meteorological disaster risks: Global challenges and local solutions. Environmental Science and Policy, 146, 120–132. https://doi.org/10.1016/j.envsci.2023.03.015
World Meteorological Organization. (2021). State of the Global Climate 2021. WMO. https://library.wmo.int/index.php?lvl=notice_display&id=21918
Eckstein, D., Künzel, V., Schäfer, L., &Winges, M. (2021). Global Climate Risk Index 2021. Germanwatch. https://www.germanwatch.org/en/cri
Khuwaja, A. H., Memon, K. N., Khidri, F. F., Riaz, H., &Khuwaja, I. U. H. (2024). Vulnerability, preparedness, and previous experience of disasters among the population of a high-hazard region — rural southern Sindh, Pakistan. Disaster Medicine and Public Health Preparedness. https://doi.org/10.1017/dmp.2024.39
MSF South Asia. (2023, December 13). Pakistan: After responding to devastating floods in Dadu, MSF hands over medical activities to local health providers. https://msfsouthasia.org/pakistan-after-responding-to-devastating-floods-in-dadu-msf-hands-over-medical-activities-to-local-health-providers/
Mustafa, D., Gioli, G., Qazi, A., Waraich, R., Rehman, A., & Khan, I. (2018). Pinning down social vulnerability in Sindh Province, Pakistan. International Journal of Disaster Risk Reduction, 28, 728–738. https://pmc.ncbi.nlm.nih.gov/articles/PMC7379619/
Qamer, F. M., et al. (2023). The case study of 2022 Pakistan floods. Scientific Reports, 13(1), 1285. https://www.nature.com/articles/s41598-023-30347-y
Shah, A. A. (2019). Current capacities, preparedness and needs of local institutions in Pakistan. International Journal of Disaster Risk Reduction, 34, 165–174. https://www.sciencedirect.com/science/article/abs/pii/S2212420918308641
UNICEF. (2022). Devastating floods in Pakistan: Pakistan Floods Emergency. https://www.unicef.org/emergencies/devastating-floods-pakistan
Usmani, M., et al. (2025). Flood mapping and impact analysis by fusion of remote sensing imagery in Sindh Province. The Egyptian Journal of Remote Sensing and Space Science. https://www.sciencedirect.com/science/article/pii/S1110982325000201
World Bank. (2023). Pakistan Floods 2022: Post-Disaster Needs Assessment. https://documents.worldbank.org/en/publication/documents-reports/documentdetail/099090023092914106
Maqbool, M. Y., &Hussain, S. (2014). Institutionalization of Disaster Risk Management in Pakistan. ISSRA Papers. Retrieved from https://www.researchgate.net/publication/322656349_Institutionalization_of_Disaster_Risk_Management_in_Pakistan ResearchGate
Maqbool, M. Y., Hussain, S., & Bashir Khan, M. (2017). Institutional Framework for Disaster Risk Management in Pakistan: Issues, Challenges and Policy Recommendations. Abasyn Journal of Social Sciences. Retrieved from https://www.researchgate.net/publication/323453660_Institutional_Framework_for_Disaster_Risk_Management_in_Pakistan_Issues_Challenges_and_Policy_Recommendations ResearchGate
Blaikie, P., Cannon, T., Davis, I., & Wisner, B. (2005). At risk: Natural hazards, people’s vulnerability and disasters (2nd ed.). London, UK: Routledge.
Coppola, D. P. (2015). Introduction to international disaster management (3rd ed.). Oxford, UK: Elsevier Butterworth-Heinemann.
Inter-Agency Standing Committee. (2006). Guidance note on using the cluster approach to strengthen humanitarian response. Geneva, Switzerland: IASC.
Mustafa, D., Ahmed, S., Saroch, E., & Bell, H. (2018). Pinning down vulnerability: From narratives to numbers and back again. Disasters, 42(1), 97–118. https://doi.org/10.1111/disa.12267
Intergovernmental Panel on Climate Change (IPCC). (2022). Sixth Assessment Report: Impacts, adaptation and vulnerability. https://www.ipcc.ch/report/ar6/wg2/
United Nations Development Programme. (2020). Gender and disaster risk reduction. https://www.undp.org/publications/gender-and-disaster-risk-reduction
United Nations Office for Disaster Risk Reduction. (2017). Words into action: Disaster risk assessment. https://www.undrr.org/publication/words-action-disaster-risk-assessment
World Bank. (2019). Understanding risk: Assessment and application. https://www.worldbank.org/en/topic/disasterriskmanagement
Jamali, Q., Panhwar, S., & Rind, A. (2022). Community preparedness and flood risk management in rural Sindh. Asian Journal of Environment and Disaster Management, 14(2), 85–99. https://doi.org/10.1177/09754253221101234
United Nations Office for Disaster Risk Reduction. (2021). People-centred early warning systems. https://www.undrr.org/publication/people-centred-early-warning-systems
World Bank. (2021). The benefits of disaster preparedness. https://www.worldbank.org/en/topic/disasterriskmanagement
Khan, M. S., & Ahmad, R. (2022). Disaster governance and institutional challenges in Sindh, Pakistan. Journal of Asian Public Policy, 15(3), 412–428. https://doi.org/10.1080/17516234.2021.1977436
Noor, S., Aslam, M., & Ali, S. (2022). Mobile-based early warning systems and community preparedness in flood-prone areas of Pakistan. International Journal of Disaster Risk Reduction, 74, 102915. https://doi.org/10.1016/j.ijdrr.2022.102915
