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  <titleInfo>
    <title>Effect of climate finance on adaptation measures of households in coastal Bangladesh</title>
  </titleInfo>
  <name type="personal">
    <namePart>Hussain, Firdaus Ara</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  <name type="personal">
    <namePart>Ahmad, Mokbul Morshed</namePart>
    <role>
      <roleTerm type="text">Chairperson</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Routray, Jayant Kumar</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Chatterjee, Joyee S.</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>AIT Fellowship</namePart>
    <role>
      <roleTerm type="text">Scholarship Donor</roleTerm>
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  <typeOfResource>text</typeOfResource>
  <genre authority="marc">series</genre>
  <genre authority="marc">technical report</genre>
  <originInfo>
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      <placeTerm type="code" authority="marccountry">th</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Pathum Thani, Thailand</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>2020</dateIssued>
    <issuance>continuing</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <abstract>Effectively utilising climate funds to reduce the risks at the household level is vital to  adapt to climate change. This research examined how the support from climate  finance affects the engagement in adaptation measures and factors which influence  the risk and adaptation appraisal process of households. The empirical research was  led in Galachipa of Patuakhali district, affected by climate change. A field survey on 240 beneficiary households receiving climate finance (CF) and 120 non-climate  finance households (Non-CF) was conducted. This study followed a methodological  approach with applications of quantitative tools and techniques to analyse the  household data, which remains limited in the framework of climate finance. Based on household-level data, the study quantified the percentage of finance spent  by the households and derived that the CF HHs exhibit higher engagement in  adaptation measures than Non-CF HHs and assume most adaptation costs from their  own financing. The analysis showed that higher income, assets, social capital and  financial support from different sources and information to climate change influence  the overall risk and adaptation appraisal of the recipient households.  However, delivery modalities of climate finance constrain some households to get  support from climate finance since the support is often concentrated on housing, crops  or fisheries, which requires land ownership. Many vulnerable households no longer own land and therefore, are systematically excluded. Furthermore, due to the novelty of climate finance and limited experience and understanding of the household  adaptation requirements, other poverty reduction and income-generating initiatives  may be mis-utilizing climate finance for purposes other than adaptation. The lack of  an internationally agreed definition of climate finance continues to allow regular  development projects to be mis-labelled as climate change projects. Finally, the  research determined that climate finance for adaptation, though not adequate, acted as  a catalytic and stimulation factor for the assisted household to explore and invest more funds from other interlinked sources to strengthen adaptation measures in areas  of poverty reduction, livelihood activities, housing and others, indicating private  proactive adaptation. The empirical findings provide policy-makers, practitioners and  planners with practical insights of implementation challenges in the delivery of climate finance for household adaptation at the local level. </abstract>
  <note>A dissertation submitted in partial fulfillment of the requirements for the degree of  Doctor of Philosophy in Regional and Rural Development Planning, School of Environment, Resources and Development</note>
  <note>Thesis (Ph.D.) - Asian Institute of Technology, 2020</note>
  <subject authority="lcsh">
    <topic>Climatic changes</topic>
    <geographic>Bangladesh</geographic>
    <topic>Economic aspects</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Climate change mitigation</topic>
    <geographic>Bangladesh</geographic>
    <topic>Finance</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Households</topic>
    <geographic>Bangladesh</geographic>
  </subject>
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    <titleInfo>
      <title>Dissertation ; no. RD-20-04</title>
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      <namePart>Asian Institute of Technology.</namePart>
      <namePart/>
    </name>
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  <identifier type="uri">http://203.159.5.9/ait-thesis/detail.php?q=B20480</identifier>
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    <recordCreationDate encoding="marc">230831</recordCreationDate>
    <recordChangeDate encoding="iso8601">20260818094902.0</recordChangeDate>
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