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  <doi_batch_id>aspg-42-4305-1792223509</doi_batch_id>
  <timestamp>20261017075149</timestamp>
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   <depositor_name>American Scientific Publishing Group</depositor_name>
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  <journal>
   <journal_metadata language="en">
    <full_title>Journal of International Economics Research</full_title>
    <abbrev_title>JIER</abbrev_title>
    <issn media_type="electronic">3070-5665</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2026</year>
    </publication_date>
    <journal_volume>
     <volume>4</volume>
    </journal_volume>
    <issue>1</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Logistics Performance and Global Trade Integration: An Empirical Analysis of the Logistics Performance Index (LPI) Across 153 Countries</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Pardaev</given_name>
      <surname>Khurshidbek</surname>
      <affiliations>
       <institution>
        <institution_name>Tashkent State University of Economics, Uzbekistan</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Muhammad Eid</given_name>
      <surname>Balbaa</surname>
      <affiliations>
       <institution>
        <institution_name>Tashkent State University of Economics, Uzbekistan</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>How much does logistics efficiency actually matter for a country’s trade performance in today’s volatile global economy? This study explores this question by analyzing a comprehensive dataset of 153 countries for the year 2023. Using a robust OLS regression, the research examines the direct relationship between the Logistics Performance Index (lpi) and national trade-to-GDP ratios, while also accounting for economic development (gdp_pc) and macroeconomic stability (inflation). The empirical results offer clear evidence that logistics is a primary driver of trade success. The model reveals that a better logistics environment has a statistically significant positive impact on trade integration (coefficient = 0.2798, p &lt; 0.05). This suggests that reducing &quot;trade friction&quot; through smarter customs and better infrastructure is essential for global competitiveness. Furthermore, the analysis shows that while higher income levels support trade, price instability remains a major obstacle, with inflation showing a strong negative effect (-0.4174, p &lt; 0.001). These findings lead to a straightforward conclusion: to thrive in the modern market, nations must look beyond physical borders and invest heavily in the speed, reliability, and digital integration of their supply chains. This research provides a practical roadmap for policymakers aiming to enhance their country’s international trade footprint.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2026</year>
    </publication_date>
    <pages>
     <first_page>39</first_page>
     <last_page>45</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">4305</item_number>
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     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
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     <doi>10.54216/JIER.040105</doi>
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