Abstract
Pakistan is ranked among the most climate change adversely affected countries of the world due to facing higher frequency of extreme natural hazards events as floods, drought, and earthquakes. Inadequate mitigation measures regarding severity and consecutive events of floods have badly affected millions of households' livelihoods. Pakistan has experienced five consecutive floods in the current decade from 2010 to 2015. These floods severely affected the mostly districts of Punjab province among these three most flood-affected districts Rahim Yar Khan, Muzaffargarh, and Rajanpur were selected for this research work. This study used the cross-sectional data of 840 flood-affected households from these three districts. Empirical estimates indicated the study area households major adaptation measures were foundation strengthen, elevated ground floor, precautionary saving, and construction of the house with reinforced material. Probit model estimates signified age, gender, location, and family size; monthly income, physical disability, education, and house ownership were major factors influencing mitigation strategies of households' level. Limited resources, inadequate planning for land use, lack of advanced and early warning system, and inadequate sound financial status were major obstacles regarding households' level adaptation of mitigation strategies. In addressing household level obstacles regarding advanced adaptation measures, development requires for local disaster policies such as ample spatial planning, codes of house building, practices of building infrastructure, propagation and forecasting updated flood information, and advanced and updated early warning system.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.