Author: Md. Mustafa Saroar
AIT Library Call Number: AIT Diss. no.RD-10-06
Year: 2010
Academic Program: Regional and Rural Development Planning (RRDP)
Type: Thesis (Ph.D.) – Asian Institute of Technology, 2010
Examination Committee: Jayant Kumar Routray (Chairperson); Soparth Pongquan, L.A.S. Ranjith Perera, Rajan K. Gengaje(Examination Committee Members)
Abstract: Climate change induced sea level rise (SLR) has posed a formidable challenge for people who have been living in the coastal area of Bangladesh. Considerable amount of experts’ opinion based literatures indicate that huge out migration would be obvious due to SLR. They commonly labeled the marginalized people as the prospective migrants. This study was aimed primarily to empirically test whether coastal people intend to out migrate for different projected scenarios of SLR. Then the inquiry was extended to characterize the people likely to migrate, and to identify a range of measures that can reduce the likely trend of out migration. Furthermore, peoples’ climate awareness, adaptive capacity and perception about livelihood insecurity were also studied alongside their current coping practices. The empirical part of this research was conducted in three coastal villages of Kalapara Upazila (sub-district) of Patuakhali district which is susceptible to SLR. This area was selected because it represents typical coastal characteristics. A sample survey of 285 households was randomly done during January-April 2009. The semi-structured questionnaire survey was supplemented by focus group discussions and key informant interviews. Study revealed that respondents used to follow a host of coping and adaptation strategies for livelihood security. Coping and adaptation strategies vary depending on their exposure to hazards, occupational engagement and risk perception. The MANOVA results show that differential perception about livelihood security are primarily associated with peoples’ education, occupation, farmland holding, past exposure to various hazards, access to information, and spatial factors that determine self efficacy and response efficacy. From the OLS regression analysis various ‘socio-dem
Scholarship Donor(s): Norwegian Ministry of Foreign Affairs
Note: A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Regional and Rural Development Planning
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