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  <titleInfo>
    <title>Spatial spillover effects of tourism on regional poverty reduction across districts and cities in North Sumatra, Indonesia</title>
  </titleInfo>
  <name type="personal">
    <namePart>Sigiro, Ely Elprida</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  <name type="personal">
    <namePart>Tsusaka, Takuji W.</namePart>
    <role>
      <roleTerm type="text">Chairperson</roleTerm>
    </role>
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  <name type="personal">
    <namePart>Pichdara, Lonn</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
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  <name type="personal">
    <namePart>Pramanik, Malay K.</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>DAAD, Government of Germany</namePart>
    <role>
      <roleTerm type="text">Scholarship Donor</roleTerm>
    </role>
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    <place>
      <placeTerm type="text">Pathum Thani</placeTerm>
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    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>2026</dateIssued>
    <issuance>continuing</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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    <extent>124 leaves : ill.+e1 online resource</extent>
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  <abstract>Tourism is widely regarded as a driver of regional economic development, yet its  capacity to reduce poverty depends heavily on how its benefits are distributed across  administrative boundaries. In North Sumatra, poverty persists across 33 districts and  cities despite a decade of expanding visitor arrivals, and the spatial mechanisms through  which tourism effects transmit across district boundaries remain empirically  unexamined. This study investigates both direct and indirect effects of tourism on  poverty alleviation across all 33 districts and cities in North Sumatra, Indonesia, from  2013 to 2023. The analysis employs balanced panel data obtained from Statistics  Indonesia and utilizes a two-way fixed-effects estimation framework in conjunction  with the Spatial Durbin Model, which integrates a K-Nearest Neighbor-4 (KNN-4)  spatial weights matrix. This empirical technique enables a clear distinction between the  impacts observed within specific districts and those resulting from spatial spillovers to  neighboring districts. The study evaluates various criteria, including economic  performance, infrastructure development, and access to education.The two-way fixed effects model indicates that after controlling for district and year  fixed effects, tourism factors do not have statistically significant direct effects on local  poverty, except for road infrastructure, which achieves marginal significance. The  Spatial Durbin Model confirms strong positive spatial autocorrelation in poverty  distribution across districts, with a Moran's I of 0.6577. Two spatial spillover channels  emerge as statistically significant. The spatial lag of the average length of stay carries  a positive coefficient, indicating that deeper tourist engagement in neighboring hub  districts is associated with rising poverty in surrounding peripheral districts, consistent  with a labor displacement mechanism. The spatial lag of education carries a negative  coefficient, indicating that higher educational attainment in neighboring districts  reduces local poverty through cross-border human capital diffusion. A robustness check  using queen contiguity spatial weights confirms both findings across alternative  specifications. These results indicate that tourism-poverty dynamics in North Sumatra  are fundamentally spatial, and that coordinated regional investment in human capital,  rather than site-specific tourism infrastructure, is the more effective pathway to broad based poverty reduction across the province. </abstract>
  <note>A thesis submitted in patial fulfillment of the requirements for the degree of Master of Science in Natural Resources Management</note>
  <note>Thesis (M. Sc.) - Asian Institute of Technology, 2026</note>
  <subject authority="lcsh">
    <topic>Tourism</topic>
    <topic>Economic aspects</topic>
    <geographic>Indonesia</geographic>
    <geographic>Sumatera Utara</geographic>
  </subject>
  <subject authority="lcsh">
    <topic>Poverty</topic>
    <geographic>Indonesia</geographic>
    <geographic>Sumatera Utara</geographic>
  </subject>
  <subject authority="lcsh">
    <topic>Economic development</topic>
    <geographic>Indonesia</geographic>
    <geographic>Sumatera Utara</geographic>
  </subject>
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    <titleInfo>
      <title>Thesis ; no. NR-26-04</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=B24137</identifier>
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    <recordCreationDate encoding="marc">260514</recordCreationDate>
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