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  <leader>02211naa a2200241 i 4500</leader>
  <controlfield tag="001">acta72033</controlfield>
  <controlfield tag="005">20230302143919.0</controlfield>
  <controlfield tag="008">210216s2020    hu      o     1||   eng d</controlfield>
  <datafield tag="024" ind1="7" ind2=" ">
   <subfield code="a">10.14232/casep21c.10</subfield>
   <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="040" ind1=" " ind2=" ">
   <subfield code="a">SZTE Egyetemi Kiadványok Repozitórium</subfield>
   <subfield code="b">hun</subfield>
  </datafield>
  <datafield tag="041" ind1=" " ind2=" ">
   <subfield code="a">eng</subfield>
  </datafield>
  <datafield tag="100" ind1="1" ind2=" ">
   <subfield code="a">Sedighi Somayeh</subfield>
  </datafield>
  <datafield tag="245" ind1="1" ind2="0">
   <subfield code="a">Good governance</subfield>
   <subfield code="h">[elektronikus dokumentum] :</subfield>
   <subfield code="b">does it improve manufacturing export in resource-rich countries? /</subfield>
   <subfield code="c"> Sedighi Somayeh</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
   <subfield code="c">2020</subfield>
  </datafield>
  <datafield tag="300" ind1=" " ind2=" ">
   <subfield code="a">140-147</subfield>
  </datafield>
  <datafield tag="490" ind1="0" ind2=" ">
   <subfield code="a">The Challenges of Analyzing Social and Economic Processes in the 21st Century</subfield>
  </datafield>
  <datafield tag="520" ind1="3" ind2=" ">
   <subfield code="a">Resource-rich countries experience a slow development rate in manufacturing sectors compared to countries with scarce resources. it has been a challenge to demystify the slow development in manufacturing sectors in those countries, therefore this study aimed to develop an efficient model to estimate the effects of good governance and natural resource rents on the performance of manufacturing export in countries endowed in natural resources. In this study world bank data for the year, 2000 to 2016 and the panel data model from 14 countries rich in natural resources were used alongside the six dependent variable indices including good governance, natural resource rents, real exchange rate, and gross domestic product (GDP). The results revealed that an increase in natural resources (NR), rule of low (RL), control of corruption (CC) as well as a reduction in inflation (INF) in countries under investigation will lead to increase in Manufacturing export. As well as an increase in Real Exchange Rate (RER) will lead to a reduction in the Manufacturing export of these countries. Hence demystify the slow development rate in manufacturing sectors in resource-rich countries.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="4">
   <subfield code="a">Társadalomtudományok</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="4">
   <subfield code="a">Közgazdasági és gazdálkodástudományok</subfield>
  </datafield>
  <datafield tag="695" ind1=" " ind2=" ">
   <subfield code="a">Gazdaságpolitika, Feldolgozóipar</subfield>
  </datafield>
  <datafield tag="700" ind1="0" ind2="1">
   <subfield code="a">Szanyi Miklós</subfield>
   <subfield code="e">aut</subfield>
  </datafield>
  <datafield tag="711" ind1=" " ind2=" ">
   <subfield code="a">Társadalmi és gazdasági folyamatok elemzésének kérdései a XXI. században</subfield>
   <subfield code="c">Szeged</subfield>
   <subfield code="d">2019</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2="0">
   <subfield code="u">http://acta.bibl.u-szeged.hu/72033/1/the_challenges_of_analyzing_social_and_economic_processes_140-147.pdf</subfield>
   <subfield code="z">Dokumentum-elérés </subfield>
  </datafield>
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