https://mail.jseg.ro/index.php/jseg <p><strong>Open </strong><strong>access and peer reviewed online </strong>international journal</p> <p>The <strong>only</strong> international journal centered around the concept of smart economic growth</p> <p>Incorporates <strong>interdisciplinary developments from all fields of economics and business</strong></p> <p>Helps understanding the new peculiarities, trends and paradigms emerging into the process of contemporary economic growth&nbsp;</p> <p>Quality research papers, and particularly papers following a <strong>quantitative and empirical approach</strong>,</p> Monica Szeles Phd en-US JOURNAL OF SMART ECONOMIC GROWTH 2537-141X https://mail.jseg.ro/index.php/jseg/article/view/356 <p><em>This article analyses the determinants of youth graduate unemployment in Tunisia by combining classical econometric methods (logistic regression) with three machine learning algorithms (Random Forest, XGBoost, RBF-kernel SVM) applied to an original survey of 1,200 Tunisian graduates. The econometric results reveal that female gender, belonging to the engineering field, and education employment mismatch are the most significant determinants. The machine learning analysis confirms the predominance of gender in discriminating between unemployed and employed individuals, and uncovers non-linear relationships that parametric models fail to capture. XGBoost and SVM offer the best predictive performance. These findings call for a deep reform of the university system, targeted policies against gender discrimination, and improved recruitment transparency.</em></p> Sami Mestiri Copyright (c) 2026 Sami Mestiri https://creativecommons.org/licenses/by-nc-sa/4.0 2026-08-05 2026-08-05 11 2 1 18 https://mail.jseg.ro/index.php/jseg/article/view/336 <p><em>Smart economic growth emphasizes development that simultaneously promotes productivity, social inclusion, and long-term sustainability. Urban housing systems play a critical role in this process because access to affordable housing determines labor mobility, human capital formation, and spatial economic balance. This study examines housing affordability as a structural constraint on smart economic growth using evidence from New York City. Combining a housing cost burden model, hedonic pricing framework, and neighborhood affordability index, the analysis evaluates how income–rent mismatch, educational accessibility, demographic composition, and density pressures interact to shape urban economic outcomes. The results indicate that rising rents relative to stagnant incomes significantly increase housing cost burdens and restrict residential mobility, thereby weakening labor market efficiency and reinforcing spatial inequality. The findings further show that school quality capitalization and housing scarcity create localized productivity barriers, limiting inclusive participation in high-opportunity areas. Overcrowding and demographic concentration intensify these effects by amplifying economic vulnerability in dense urban neighborhoods. The study demonstrates that housing affordability operates not merely as a social welfare concern but also as a measurable growth determinant that affects economic resilience and long-run development. Policy implications suggest that aligning wage growth, expanding affordable housing supply, and improving access to education constitute complementary mechanisms for achieving smart economic growth. The paper contributes to interdisciplinary growth literature by integrating housing market dynamics into the broader framework of sustainable and inclusive economic development.</em></p> Gbolahan Solomon Osho Onochie Jude Dieli Tawab Attaie Copyright (c) 2026 Gbolahan Solomon Osho, Onochie Jude Dieli, Tawab Attaie https://creativecommons.org/licenses/by-nc-sa/4.0 2026-08-05 2026-08-05 11 2 19 48