<?xml version="1.0" encoding="UTF-8"?>
<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/"
  xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
  xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd">
<responseDate>2026-04-21T08:31:14.660Z</responseDate>
<request verb="ListRecords">https://watflffhuchrsocdsxtb.supabase.co/functions/v1/oai-pmh</request>
<ListRecords>
<record>
  <header>
    <identifier>oai:silvapress:046fd8e4-4474-4615-8163-8294538fb3f8</identifier>
    <datestamp>2026-03-20</datestamp>
    <setSpec>ijbeda</setSpec>
  </header>
  <metadata>
    <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"
      xmlns:dc="http://purl.org/dc/elements/1.1/"
      xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
      xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
      <dc:title>The Privacy Paradox in Digital Markets: Behavioral Responses to Zero-Price Business Models</dc:title>
      <dc:creator>Helena Vanderbilt</dc:creator>
      <dc:creator>Mark Jansen</dc:creator>
      <dc:subject>Zero-price effect</dc:subject>
      <dc:subject>Privacy paradox</dc:subject>
      <dc:subject>Digital economy</dc:subject>
      <dc:subject>Consumer behavior</dc:subject>
      <dc:subject>Prospect theory</dc:subject>
      <dc:description>This paper investigates the 'zero-price effect' within modern digital ecosystems, specifically focusing on how consumers perceive value when data is utilized as a form of non-monetary currency. Using a randomized controlled trial (N=1,200), we analyze decision-making processes in subscription-based versus data-harvesting models. Our findings suggest that individuals significantly undervalue their privacy when faced with a zero-cost entry point, a behavior that persists even when the long-term data costs are clearly articulated. We apply prospect theory to explain this irrational preference for 'free' services, suggesting that the immediate psychological benefit of avoiding a price tag outweighs the abstract future loss of privacy. The results have significant implications for regulatory frameworks governing data privacy and digital competition.</dc:description>
      <dc:date>2026-03-20</dc:date>
      <dc:type>research-article</dc:type>
      <dc:format>text/html</dc:format>
      <dc:identifier>doi:10.55205/ijbeda.mmz1brha</dc:identifier>
      <dc:identifier>https://silvapress.com/articles/046fd8e4-4474-4615-8163-8294538fb3f8</dc:identifier>
      <dc:language>en</dc:language>
      <dc:rights>CC-BY</dc:rights>
      <dc:source>International Journal of Behavioral Economics and Decision Analytics</dc:source>
      <dc:publisher>Silvapress Publishing</dc:publisher>
    </oai_dc:dc>
  </metadata>
</record>
<record>
  <header>
    <identifier>oai:silvapress:54ceaa98-adf5-4cb7-8dd9-b642545c44cf</identifier>
    <datestamp>2026-03-05</datestamp>
    <setSpec>ijbhlse</setSpec>
  </header>
  <metadata>
    <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"
      xmlns:dc="http://purl.org/dc/elements/1.1/"
      xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
      xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
      <dc:title>Nanoparticle-Enhanced Silk Fibroin Scaffolds for High-Force Biohybrid Actuation</dc:title>
      <dc:creator>Marcus Schmidt</dc:creator>
      <dc:creator>Elara Vance</dc:creator>
      <dc:subject>biohybrid actuators</dc:subject>
      <dc:subject>silk fibroin</dc:subject>
      <dc:subject>soft robotics</dc:subject>
      <dc:subject>cardiomyocytes</dc:subject>
      <dc:subject>nanocomposites</dc:subject>
      <dc:description>This study explores the integration of primary cardiomyocyte cultures with gold-nanoparticle-doped silk fibroin scaffolds to develop high-performance biohybrid actuators. By optimizing the electrical conductivity of the scaffold material through nanoparticle concentration, we achieved a 40% increase in contractile force compared to pure silk constructs. The research evaluates the long-term viability and spontaneous beating frequency of the engineered tissue over a 21-day period. Our results indicate that the biohybrid system maintains robust electromechanical coupling and responds predictably to external pacing, offering potential applications in soft robotics and drug toxicity screening. The integration of inorganic conductive elements into protein-based matrices provides a scalable platform for developing next-generation living machines with enhanced power density.</dc:description>
      <dc:date>2026-03-05</dc:date>
      <dc:type>research-article</dc:type>
      <dc:format>text/html</dc:format>
      <dc:identifier>doi:10.55205/ijbhls.mmp8fe9d</dc:identifier>
      <dc:identifier>https://silvapress.com/articles/54ceaa98-adf5-4cb7-8dd9-b642545c44cf</dc:identifier>
      <dc:language>en</dc:language>
      <dc:rights>CC-BY</dc:rights>
      <dc:source>International Journal of Biohybrid and Living Systems Engineering</dc:source>
      <dc:publisher>Silvapress Publishing</dc:publisher>
    </oai_dc:dc>
  </metadata>
</record>
<record>
  <header>
    <identifier>oai:silvapress:7ebeeea5-c9dd-486a-bda6-2314d2b83259</identifier>
    <datestamp>2026-01-10</datestamp>
    <setSpec>ijsaai</setSpec>
  </header>
  <metadata>
    <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"
      xmlns:dc="http://purl.org/dc/elements/1.1/"
      xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
      xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
      <dc:title>Machine Learning Approaches to Precision Agriculture: A Comprehensive Review</dc:title>

      <dc:subject>machine learning</dc:subject>
      <dc:subject>precision agriculture</dc:subject>
      <dc:subject>crop yield</dc:subject>
      <dc:description>This paper reviews recent advances in machine learning applied to precision agriculture, covering crop yield prediction, pest detection, and soil health monitoring using satellite and drone imagery.</dc:description>
      <dc:date>2026-01-10</dc:date>
      <dc:type>review-article</dc:type>
      <dc:format>text/html</dc:format>
      
      <dc:identifier>https://silvapress.com/articles/7ebeeea5-c9dd-486a-bda6-2314d2b83259</dc:identifier>
      <dc:language>en</dc:language>
      <dc:rights>CC-BY</dc:rights>
      <dc:source>International Journal of Smart Agriculture and Agri-Tech Innovations</dc:source>
      <dc:publisher>Silvapress Publishing</dc:publisher>
    </oai_dc:dc>
  </metadata>
</record>
<record>
  <header>
    <identifier>oai:silvapress:c4a9dcb2-89b0-4736-998a-3c72ceb4fbc4</identifier>
    <datestamp>2026-01-05</datestamp>
    <setSpec>ijcsdac</setSpec>
  </header>
  <metadata>
    <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"
      xmlns:dc="http://purl.org/dc/elements/1.1/"
      xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
      xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
      <dc:title>Federated Learning for Privacy-Preserving Healthcare Analytics</dc:title>

      <dc:subject>federated learning</dc:subject>
      <dc:subject>healthcare</dc:subject>
      <dc:subject>privacy</dc:subject>
      <dc:description>We propose a novel federated learning framework that enables collaborative model training across hospitals without sharing patient data.</dc:description>
      <dc:date>2026-01-05</dc:date>
      <dc:type>research-article</dc:type>
      <dc:format>text/html</dc:format>
      
      <dc:identifier>https://silvapress.com/articles/c4a9dcb2-89b0-4736-998a-3c72ceb4fbc4</dc:identifier>
      <dc:language>en</dc:language>
      <dc:rights>CC-BY</dc:rights>
      <dc:source>International Journal of Computer Science, Data Analytics, and Cybersecurity</dc:source>
      <dc:publisher>Silvapress Publishing</dc:publisher>
    </oai_dc:dc>
  </metadata>
</record>
<record>
  <header>
    <identifier>oai:silvapress:82c7743b-5025-46cf-94d7-5f6a02fff6c2</identifier>
    <datestamp>2025-12-20</datestamp>
    <setSpec>ijcarrs</setSpec>
  </header>
  <metadata>
    <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"
      xmlns:dc="http://purl.org/dc/elements/1.1/"
      xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
      xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
      <dc:title>Urban Heat Island Mitigation Through Green Infrastructure: A Meta-Analysis</dc:title>

      <dc:subject>urban heat island</dc:subject>
      <dc:subject>green infrastructure</dc:subject>
      <dc:subject>climate adaptation</dc:subject>
      <dc:description>A comprehensive meta-analysis of 85 studies examining the effectiveness of green roofs, urban forests, and permeable surfaces in reducing urban heat island effects.</dc:description>
      <dc:date>2025-12-20</dc:date>
      <dc:type>review-article</dc:type>
      <dc:format>text/html</dc:format>
      
      <dc:identifier>https://silvapress.com/articles/82c7743b-5025-46cf-94d7-5f6a02fff6c2</dc:identifier>
      <dc:language>en</dc:language>
      <dc:rights>CC-BY</dc:rights>
      <dc:source>International Journal of Climate Adaptation, Risk, and Resilience Studies</dc:source>
      <dc:publisher>Silvapress Publishing</dc:publisher>
    </oai_dc:dc>
  </metadata>
</record>
<record>
  <header>
    <identifier>oai:silvapress:b03b7550-49ff-4f59-8e55-60e002da40ae</identifier>
    <datestamp>2025-12-15</datestamp>
    <setSpec>ijbeda</setSpec>
  </header>
  <metadata>
    <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"
      xmlns:dc="http://purl.org/dc/elements/1.1/"
      xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
      xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
      <dc:title>Behavioral Nudges in Digital Financial Decision-Making</dc:title>

      <dc:subject>behavioral economics</dc:subject>
      <dc:subject>nudges</dc:subject>
      <dc:subject>fintech</dc:subject>
      <dc:description>We examine how interface design nudges influence savings behavior and investment decisions among millennials in emerging economies.</dc:description>
      <dc:date>2025-12-15</dc:date>
      <dc:type>research-article</dc:type>
      <dc:format>text/html</dc:format>
      <dc:identifier>doi:10.55205/ijbeda202500002</dc:identifier>
      <dc:identifier>https://silvapress.com/articles/b03b7550-49ff-4f59-8e55-60e002da40ae</dc:identifier>
      <dc:language>en</dc:language>
      <dc:rights>CC-BY</dc:rights>
      <dc:source>International Journal of Behavioral Economics and Decision Analytics</dc:source>
      <dc:publisher>Silvapress Publishing</dc:publisher>
    </oai_dc:dc>
  </metadata>
</record>
<record>
  <header>
    <identifier>oai:silvapress:e2c228c8-0432-4dbf-aa21-5a5e713b6b45</identifier>
    <datestamp>2025-11-30</datestamp>
    <setSpec>ijaepm</setSpec>
  </header>
  <metadata>
    <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"
      xmlns:dc="http://purl.org/dc/elements/1.1/"
      xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
      xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
      <dc:title>Monetary Policy Transmission in Dollarized Economies</dc:title>

      <dc:subject>monetary policy</dc:subject>
      <dc:subject>dollarization</dc:subject>
      <dc:subject>VAR model</dc:subject>
      <dc:description>This paper investigates the effectiveness of monetary policy tools in partially dollarized economies using a structural VAR model.</dc:description>
      <dc:date>2025-11-30</dc:date>
      <dc:type>research-article</dc:type>
      <dc:format>text/html</dc:format>
      
      <dc:identifier>https://silvapress.com/articles/e2c228c8-0432-4dbf-aa21-5a5e713b6b45</dc:identifier>
      <dc:language>en</dc:language>
      <dc:rights>CC-BY</dc:rights>
      <dc:source>International Journal of Applied Economics and Policy Modeling</dc:source>
      <dc:publisher>Silvapress Publishing</dc:publisher>
    </oai_dc:dc>
  </metadata>
</record>
<record>
  <header>
    <identifier>oai:silvapress:dfa96d46-73f1-4ea0-ab1d-febf96a6c60a</identifier>
    <datestamp>2025-11-20</datestamp>
    <setSpec>ijlegd</setSpec>
  </header>
  <metadata>
    <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"
      xmlns:dc="http://purl.org/dc/elements/1.1/"
      xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
      xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
      <dc:title>Constitutional Frameworks for AI Governance: A Comparative Study</dc:title>

      <dc:subject>AI governance</dc:subject>
      <dc:subject>constitutional law</dc:subject>
      <dc:subject>regulation</dc:subject>
      <dc:description>This study compares emerging constitutional and legislative frameworks governing artificial intelligence across the EU, US, and East Asia.</dc:description>
      <dc:date>2025-11-20</dc:date>
      <dc:type>research-article</dc:type>
      <dc:format>text/html</dc:format>
      
      <dc:identifier>https://silvapress.com/articles/dfa96d46-73f1-4ea0-ab1d-febf96a6c60a</dc:identifier>
      <dc:language>en</dc:language>
      <dc:rights>CC-BY</dc:rights>
      <dc:source>International Journal of Law, Ethics, and Governance Dynamics</dc:source>
      <dc:publisher>Silvapress Publishing</dc:publisher>
    </oai_dc:dc>
  </metadata>
</record>
<record>
  <header>
    <identifier>oai:silvapress:dde5eb56-2681-4ec2-8d4a-7c13b79ed776</identifier>
    <datestamp>2025-10-25</datestamp>
    <setSpec>ijsseds</setSpec>
  </header>
  <metadata>
    <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"
      xmlns:dc="http://purl.org/dc/elements/1.1/"
      xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
      xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
      <dc:title>Impact of Gamification on Student Engagement in Higher Education</dc:title>

      <dc:subject>gamification</dc:subject>
      <dc:subject>higher education</dc:subject>
      <dc:subject>student engagement</dc:subject>
      <dc:description>A quasi-experimental study measuring the effects of gamified learning platforms on student motivation, attendance, and academic performance in Nigerian universities.</dc:description>
      <dc:date>2025-10-25</dc:date>
      <dc:type>research-article</dc:type>
      <dc:format>text/html</dc:format>
      
      <dc:identifier>https://silvapress.com/articles/dde5eb56-2681-4ec2-8d4a-7c13b79ed776</dc:identifier>
      <dc:language>en</dc:language>
      <dc:rights>CC-BY</dc:rights>
      <dc:source>International Journal of Social Sciences, Education, and Development Studies</dc:source>
      <dc:publisher>Silvapress Publishing</dc:publisher>
    </oai_dc:dc>
  </metadata>
</record>
<record>
  <header>
    <identifier>oai:silvapress:3f97e693-d8d0-4cc4-a824-4e203318ed10</identifier>
    <datestamp>2025-10-10</datestamp>
    <setSpec>ijqmbr</setSpec>
  </header>
  <metadata>
    <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"
      xmlns:dc="http://purl.org/dc/elements/1.1/"
      xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
      xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
      <dc:title>Bayesian Methods for Small Sample Clinical Trials</dc:title>

      <dc:subject>Bayesian statistics</dc:subject>
      <dc:subject>clinical trials</dc:subject>
      <dc:subject>small samples</dc:subject>
      <dc:description>We demonstrate the superiority of Bayesian adaptive designs over frequentist approaches for phase II oncology trials with limited patient populations.</dc:description>
      <dc:date>2025-10-10</dc:date>
      <dc:type>research-article</dc:type>
      <dc:format>text/html</dc:format>
      
      <dc:identifier>https://silvapress.com/articles/3f97e693-d8d0-4cc4-a824-4e203318ed10</dc:identifier>
      <dc:language>en</dc:language>
      <dc:rights>CC-BY</dc:rights>
      <dc:source>International Journal of Quantitative Methods in Business Research</dc:source>
      <dc:publisher>Silvapress Publishing</dc:publisher>
    </oai_dc:dc>
  </metadata>
</record>
<record>
  <header>
    <identifier>oai:silvapress:0f87e084-f56b-4c27-97e7-ad9d4f1783d6</identifier>
    <datestamp>2025-09-30</datestamp>
    <setSpec>ijlhrpp</setSpec>
  </header>
  <metadata>
    <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"
      xmlns:dc="http://purl.org/dc/elements/1.1/"
      xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
      xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
      <dc:title>Digital Rights and Freedom of Expression in Sub-Saharan Africa</dc:title>

      <dc:subject>digital rights</dc:subject>
      <dc:subject>freedom of expression</dc:subject>
      <dc:subject>Africa</dc:subject>
      <dc:description>An analysis of internet shutdowns, digital surveillance, and their implications for human rights law in sub-Saharan Africa.</dc:description>
      <dc:date>2025-09-30</dc:date>
      <dc:type>research-article</dc:type>
      <dc:format>text/html</dc:format>
      
      <dc:identifier>https://silvapress.com/articles/0f87e084-f56b-4c27-97e7-ad9d4f1783d6</dc:identifier>
      <dc:language>en</dc:language>
      <dc:rights>CC-BY</dc:rights>
      <dc:source>International Journal of Law, Human Rights, and Public Policy</dc:source>
      <dc:publisher>Silvapress Publishing</dc:publisher>
    </oai_dc:dc>
  </metadata>
</record>
<record>
  <header>
    <identifier>oai:silvapress:79f57b28-7747-47e8-887c-f4d06bc9c6d2</identifier>
    <datestamp>2025-09-15</datestamp>
    <setSpec>ijmsci</setSpec>
  </header>
  <metadata>
    <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"
      xmlns:dc="http://purl.org/dc/elements/1.1/"
      xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
      xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
      <dc:title>Influencer Marketing ROI: A Cross-Platform Analysis Using Panel Data</dc:title>

      <dc:subject>influencer marketing</dc:subject>
      <dc:subject>ROI</dc:subject>
      <dc:subject>social media</dc:subject>
      <dc:description>Using panel data from 500 brands, we quantify the return on investment of influencer marketing campaigns across Instagram, TikTok, and YouTube.</dc:description>
      <dc:date>2025-09-15</dc:date>
      <dc:type>research-article</dc:type>
      <dc:format>text/html</dc:format>
      
      <dc:identifier>https://silvapress.com/articles/79f57b28-7747-47e8-887c-f4d06bc9c6d2</dc:identifier>
      <dc:language>en</dc:language>
      <dc:rights>CC-BY</dc:rights>
      <dc:source>International Journal of Marketing Strategy and Consumer Intelligence</dc:source>
      <dc:publisher>Silvapress Publishing</dc:publisher>
    </oai_dc:dc>
  </metadata>
</record>
<record>
  <header>
    <identifier>oai:silvapress:d51ccde9-6f1f-4a03-9e58-97aeacb88c50</identifier>
    <datestamp>2025-08-20</datestamp>
    <setSpec>ijcarrs</setSpec>
  </header>
  <metadata>
    <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"
      xmlns:dc="http://purl.org/dc/elements/1.1/"
      xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
      xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
      <dc:title>Climate-Induced Migration and Coastal Community Resilience in Southeast Asia</dc:title>

      <dc:subject>climate migration</dc:subject>
      <dc:subject>coastal resilience</dc:subject>
      <dc:subject>Southeast Asia</dc:subject>
      <dc:description>Mapping climate-induced displacement patterns and evaluating community-based adaptation strategies in coastal villages of the Philippines and Vietnam.</dc:description>
      <dc:date>2025-08-20</dc:date>
      <dc:type>research-article</dc:type>
      <dc:format>text/html</dc:format>
      
      <dc:identifier>https://silvapress.com/articles/d51ccde9-6f1f-4a03-9e58-97aeacb88c50</dc:identifier>
      <dc:language>en</dc:language>
      <dc:rights>CC-BY</dc:rights>
      <dc:source>International Journal of Climate Adaptation, Risk, and Resilience Studies</dc:source>
      <dc:publisher>Silvapress Publishing</dc:publisher>
    </oai_dc:dc>
  </metadata>
</record>
<record>
  <header>
    <identifier>oai:silvapress:09228cc6-15ff-4f18-aa41-8c19d4c48f66</identifier>
    <datestamp>2025-07-30</datestamp>
    <setSpec>ijaepm</setSpec>
  </header>
  <metadata>
    <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"
      xmlns:dc="http://purl.org/dc/elements/1.1/"
      xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
      xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
      <dc:title>Exchange Rate Pass-Through to Consumer Prices in ECOWAS Countries</dc:title>

      <dc:subject>exchange rate</dc:subject>
      <dc:subject>pass-through</dc:subject>
      <dc:subject>ECOWAS</dc:subject>
      <dc:subject>inflation</dc:subject>
      <dc:description>This study estimates the degree and speed of exchange rate pass-through to consumer prices across ECOWAS member states using ARDL bounds testing.</dc:description>
      <dc:date>2025-07-30</dc:date>
      <dc:type>research-article</dc:type>
      <dc:format>text/html</dc:format>
      
      <dc:identifier>https://silvapress.com/articles/09228cc6-15ff-4f18-aa41-8c19d4c48f66</dc:identifier>
      <dc:language>en</dc:language>
      <dc:rights>CC-BY</dc:rights>
      <dc:source>International Journal of Applied Economics and Policy Modeling</dc:source>
      <dc:publisher>Silvapress Publishing</dc:publisher>
    </oai_dc:dc>
  </metadata>
</record>
</ListRecords>
</OAI-PMH>