International Journal of Emerging Multidisciplinaries: Social Science
https://ojs.ijemd.com/index.php/SocialScience
<p>I<strong>JEMD-SS: International Journal of Emerging Multidisciplinaries Social Science</strong><br /><strong>Print ISSN:</strong> 2957-5311 <br /><strong>Online ISSN:</strong> 2958-0277</p> <p><img 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" /></p> <p><strong>HEC Recognized (Y-Category) </strong></p> <p>International Journal of Emerging Multidisciplinaries (IJEMD-SS) is a multidisciplinary, peer-reviewed, open access journal published biannually by <strong><a href="https://phiepublications.com/">Publishing House International Enterprise (PHIE)</a></strong>. The journal provides a scholarly platform for academics, researchers, and practitioners to publish high-quality, original research that contributes to the advancement of knowledge in the social sciences and humanities.</p> <p>All manuscripts submitted to IJEMD-SS undergo a rigorous <strong>double-blind peer review</strong> process by at least two independent experts to ensure academic quality, transparency, and integrity.</p> <p>All articles are published under the <strong><a href="https://creativecommons.org/licenses/by/4.0/">Creative Common Attribution 4.0 International License (CC-BY 4.0)</a></strong><strong>)</strong>. This allows immediate, free, and unrestricted access to read, download, copy, distribute, print, search, or link to the full texts of articles without any subscription barriers.</p> <p>The journal is published electronically through <strong>Open Journal Systems (OJS)</strong> and assigns a unique<strong> DOI</strong> to every article as a<strong> Crossref</strong> member. Detailed submission guidelines, author policies, and publication ethics are available on the journal website.</p>International Publishing House Enterprise (PHIE)en-USInternational Journal of Emerging Multidisciplinaries: Social Science2957-5311<p>Under the <a href="https://creativecommons.org/licenses/by/4.0/">Creative Common Attribution (CC-BY 4.0)</a> license, authors retain copyright and grant the journal right of first publication.</p>From Implementation Failure to Policy Reform: Explaining Institutional Learning Through Comparative Evidence from Denmark, Austria and Pakistan
https://ojs.ijemd.com/index.php/SocialScience/article/view/720
<p>Public policies frequently encounter difficulties during execution, yet the institutional processes through which governments convert those experiences into organisational learning and policy reform remain poorly understood. While implementation research explains why policies encounter difficulties in practice and policy-learning scholarship examines how governments adapt through experience, the institutional pathway connecting these two traditions has received comparatively little attention. This article addresses that gap through a qualitative comparative case study of Denmark, Austria and Pakistan based on documentary evidence drawn from ombudsman reports, audit findings, legislative documents and official government publications.</p> <p>The study develops the Implementation Learning and Reform Framework (ILRF), a middle-range analytical framework that explains how practical experience is translated into progressively different levels of governmental response through six sequential stages: evidence production, evidence aggregation, institutional attribution, response selection, implementation and verified learning. The comparative analysis demonstrates that operational setbacks do not automatically generate organisational learning or policy reform. Instead, reform depends on institutional processes that interpret recurring evidence, attribute responsibility and authorise organisational responses. Although the three cases differ substantially in administrative traditions and state capacity, they exhibit a common institutional sequence through which experience is converted into administrative correction, organisational adaptation or policy reform. By specifying this sequence, ILRF explains why governments confronting similar implementation challenges often follow markedly different reform trajectories. The article contributes to comparative public policy by integrating implementation research and policy-learning scholarship within a single explanatory framework while providing a practical analytical tool for examining institutional learning across diverse governance settings.</p>Syeda Masheea Fatima
Copyright (c) 2026 Syeda Masheea Fatima
https://creativecommons.org/licenses/by/4.0
2026-08-112026-08-1153193610.54938/ijemdss.2026.05.3.720Long-Run Relationship Between Tourism Receipts and Economic Development in Pakistan: Evidence from a VECM Framework
https://ojs.ijemd.com/index.php/SocialScience/article/view/718
<p style="margin: 0in; text-align: justify; line-height: 150%;">The present study investigates the long and short-run relationship between tourism receipts and inclusive growth dimension (measured as GDP per capita) in Pakistan with controls of employment, trade openness and inflation, using annual data for the period 2000-2025. It differs from the single-equation ARDL model which has been prevalent in the literature of Pakistan specific studies, and uses a complete Vector Error Correction Model (VECM) to estimate the long-run equilibrium and system-wide short-run feedback simultaneously. All series are found to be 1st order integrated by the unit root tests, which is a necessary condition for co-integration, and an Engle-Granger test and a Johansen test are used to confirm that there is a significant long-run equilibrium relationship. Tourism receipts, employment, trade openness and inflation have positive and negative long run effects on inclusive growth's growth dimension, respectively, with the consistent negative impact of trade deficits and macroeconomic instability. The error-correction term is negative, and is highly significant, with disequilibrium being corrected at around 77% per year. The short-run results demonstrate positive tourism impact, which supports the Tourism-Led Growth Hypothesis, and negative employment impact, which may be associated with the structural and/or disguised unemployment. The results suggest that tourism is a statistically sound development tool in and of itself and that it can be pursued against this background with targeted investments in the infrastructure and in the destination marketing, with the trade-liberalisation policy, on the other hand, being coupled with export-competitiveness measures. Inclusive growth is measured with GDP per capita, which only reflects the growth side of inclusive growth, and there is a scope for future research to include distributional indicators.</p> Muahmmad Umar FarooqYasir AliAbdul Majeed Nadeem
Copyright (c) 2026 Yasir Ali, Muahmmad Umar Farooq, Abdul Majeed Nadeem
https://creativecommons.org/licenses/by/4.0
2026-08-112026-08-115310.54938/ijemdss.2026.05.3.718The Fisher Effect and Its Implications in Emerging and Transitional Economies: Empirical Evidence and Theoretical Insights from Pakistan
https://ojs.ijemd.com/index.php/SocialScience/article/view/722
<p>This study examines the empirical validity and macroeconomic implications of the Fisher effect in emerging and transitional economies, with a specific focus on Pakistan. By analyzing the dynamic relationship between inflation, nominal interest rates, and real interest rates, this paper explores how inflationary pressures alter investor risk perceptions and capital allocation in transitional financial markets. In highly volatile economic environments, rising inflation shifts investor expectations, demanding higher premium returns to offset purchasing power risks. Our conceptual framework demonstrates that failure to properly adjust nominal discount rates to match inflationary trends leads to adverse distortions in investment behavior and broader economic stability. These findings underscore the critical role of the Fisher effect in monetary policy formulation and investment risk management within developing economies.</p>Rana Shahid Imdad AkashAftab AhmadMajid Imdad Khan
Copyright (c) 2026 Rana Shahid Imdad Akash, Aftab Ahmad, Majid Imdad Khan
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2026-08-122026-08-1253596810.54938/ijemdss.2026.05.3.722Investment Dynamics and Capital Formation in Pakistan: Financial Intermediation, Industrial Transformation and Macroeconomic Stability: A VECM Analysis
https://ojs.ijemd.com/index.php/SocialScience/article/view/719
<p>Pakistan continues to experience persistently low levels of capital formation, constraining long-term economic growth and productive capacity. This study examines the macroeconomic determinants of Gross Fixed Capital Formation (GFCF) in Pakistan within the framework of financial intermediation, industrial performance, and macroeconomic stability over the period 1991–2024. Annual time-series data are analysed using the Augmented Dickey–Fuller (ADF) unit root test, the Johansen cointegration approach, and the Vector Error Correction Model (VECM). The results indicate that all variables are integrated of order one, I(1), and the Johansen tests confirm the existence of a long-run equilibrium relationship among the variables. The long-run estimates reveal that national savings</p> <p>positively influence capital formation, whereas the exchange rate has a significant effect on</p> <p>investment. Industrial performance demonstrates a statistically significant long-run association with capital formation, while inflation and bank credit to the private sector do not exhibit statistically significant long-run effects. The error correction term is negative and statistically significant, indicating that approximately 70.4% of short-run disequilibrium is corrected annually. Impulse response analysis suggests that shocks to national savings and industrial performance support capital accumulation over time. The findings underscore the importance of strengthening financial intermediation, mobilising domestic savings, promoting industrial development, and maintaining macroeconomic stability to achieve sustainable capital formation and long-term economic growth in Pakistan.</p>Mehwish Darakhshan ZiaSaghir Pervaiz Ghauri
Copyright (c) 2026 Mehwish Darakhshan Zia, Saghir Pervaiz Ghauri
https://creativecommons.org/licenses/by/4.0
2026-08-112026-08-1153375810.54938/ijemdss.2026.05.3.719