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  <titleInfo>
    <nonSort>An </nonSort>
    <title>analysis of the demand for electricity in Thailand</title>
  </titleInfo>
  <name type="personal">
    <namePart>Pradhan, Madhab P.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Tang, John C.S.</namePart>
    <role>
      <roleTerm type="text">Chairperson</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Pakorn Adulbhan</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Prapon Vongvichien</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart> Carl Duisberg Gesellschaft, e.V</namePart>
    <role>
      <roleTerm type="text">Scholarship Donor</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">th</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Bangkok</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>1979</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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    <extent>1 v. (various pagings)</extent>
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  <abstract>The purpose of this research is to study the electricity consumption, to identify the factors that determine electricity demand and to estimate the electricity demand functions for residential, commercial, industrial sectirs.  Electricity demand functions are derived on the assumptions that the demands are products of rate of utilization of electrical appliances and stock of the appliances, and the desired stock of appliances is related to  actual stock of the appliances by logarithmic adjustment flow model. The demand functions are dynamic with one year lagged dependent variable as an  independent variable. The electricity consumption and other economic data of each region are pooled together to increase the sample size and the demand functions are  estimated by error component method with an instrument variable for the lagged variable. The demand functions are found to be price and income  inelastic in short run.</abstract>
  <note>A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Engineering and Technology</note>
  <note>Thesis (M.Eng.) - Asian Institute of Technology, 1979</note>
  <subject authority="lcsh">
    <topic>Electricity</topic>
  </subject>
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    <titleInfo>
      <title>Thesis ; no. IE-79-12</title>
    </titleInfo>
    <name type="corporate">
      <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=B22310</identifier>
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    <url displayLabel="Full-Text">http://203.159.5.9/ait-thesis/detail.php?q=B22310</url>
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    <recordCreationDate encoding="marc">190698</recordCreationDate>
    <recordChangeDate encoding="iso8601">20260817162446.0</recordChangeDate>
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