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  <responseDate>2026-04-14T22:10:39Z</responseDate>
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      <header>
        <identifier>oai:meral.edu.mm:recid/00008318</identifier>
        <datestamp>2024-05-27T03:52:47Z</datestamp>
        <setSpec>1582963436320</setSpec>
        <setSpec>1582963436320:1582965763232</setSpec>
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          <dc:title>Impact of Microcredit on Living Standards in Suburb Area (Tin Kyawt Kyawt Aye, 2022)</dc:title>
          <dc:creator>Tin Kyawt Kyawt Aye</dc:creator>
          <dc:description>Low-Cost Housing plays an important role in response to housing needs of
low-income and middle-income households. The objectives of the study are to identify
the socioeconomic and microcredit factors and to explore the influencing factors of
living standards among micro-credit users in suburb area at Shwe Lin Pan Low-Cost
Housing. Two stage sampling technique and logistic regression analysis were applied
to explore the significant factors of occupation, loan amount and loan repayment. The
overall percentage classification indicates that the improvement of living standards
predicted correctly. The binary logistic regression analysis shows that observed
occupation of company staff is significant and negatively associated with the
improvement of living standards. In this area, the most of the company staff are working
at garment factories and their income are depending on day and night shift. So that not
stabled monthly income. Government staff occupation is positively associated with the
improvement of living standards and significant on improvement of living standards.
The government staffs’ monthly income is stability to pay loan repayment regularly.
The coefficient of loan repayment is significant when influence of holding other
independent variables because of monthly installment is lower amount, so that
households can get extra money such as saving, buying assets, education, health and
expenditure.</dc:description>
          <dc:date>2022-07-01</dc:date>
          <dc:identifier>https://meral.edu.mm/records/8318</dc:identifier>
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