https://publicatii.uvvg.ro/index.php/studiaeconomia/issue/feedStudia Universitatis Vasile Goldiș Arad, Seria Științe Economice2025-01-10T15:00:34+08:00Florin Dumiterfdumiter@yahoo.comOpen Journal Systems<p><em><strong>The Journal Studia Universitatis "Vasile Goldiș" Arad. Economic Sciences, ISSN 1584 – 2339 has a long history in contributing to the research in Economics-related fields of interest, since its first edition in 1990.</strong></em></p> <p>Until now, the journal has been published annually by "Vasile Goldis" Western University of Arad, at its own Publishing House. Moreover, during the years Studia Universitatis "Vasile Goldiș" Arad. Economic Sciences has been evaluated by the National Council of Scientific Research in Higher Education of Romania in the B+ category, code 792 as recognition of its national visibility.</p> <p> </p> <p><strong>STUDIA UNIVERSITATIS ”VASILE GOLDIȘ” ARAD – ECONOMICS SERIES</strong></p> <p>The principal purpose of the journal is to publish scholarly work in the Economic Sciences, promoting relevant and insightful research in all related fields, within a sound methodological framework. In this journal, the Editorial Board wants to provide high quality articles in the economics field. However, the objective regarding publishing the original contribution in the Economic Sciences filed does not infringe the interdisciplinary, multidisciplinary and transdisciplinary approaches of the complex economic phenomenon and their connections. In this sense, many articles provide a strong enactment of law regarding the application and enactment the commercial law, civil law and tax law. The research published in the Journal is used to demonstrate the academic medium, students and specialist as the ways in solving different problems tackled by the different articles and authors. The econometric techniques and modelling relationship demonstrate the usefulness of different techniques in the solution of the different problems. Part of the articles published in this Journal are an improving path of the articles sustained at the different conferences organized by the University were different specialist gathered and debated some high relevant and important topics. The results of the research are directed also to some practical organizations in order to increase the practical usage of the economical techniques. Another part of the articles derived from different partial of final results of several research projects, fact that will increase the scientifical relevance. Finally, by using a specific structure of the article, meaning introduction, literature review, methodology, main finding results, discussion and conclusion will improve the understandings of the different research methods used in economic theory and practice in order to evaluate and assess more accurate the soundness of the final results of the research.</p> <p> </p> <hr> <div> </div> <div><span style="text-align: justify;"><span style="text-align: justify;"><img style="float: right;" src="/public/site/images/admin/Sciendo_Banner_template41.png"> Studia Universitatis Vasile Goldis Arad - Economics Series is covered by the following services:</span></span> <p><a href="https://www.sciendo.com/journal/SUES" target="_blank" rel="noopener"><em>Studia Universitatis "Vasile Goldis" Arad - Economics Series in DE GRUYTER OPEN since 2015</em></a></p> <p>Baidu Scholar; Cabell's Whitelist; CEEOL - Central and Eastern European Online Library; CNKI Scholar (China National Knowledge Infrastructure); CNPIEC - cnpLINKer; Dimensions; DOAJ (Directory of Open Access Journals); EBSCO (relevant databases); EBSCO Discovery Service; ERIH PLUS (European Reference Index for the Humanities and Social Sciences); EuroPub; Google Scholar; Index Copernicus; J-Gate; JournalGuide; JournalTOCs; KESLI-NDSL (Korean National Discovery for Science Leaders); Microsoft Academic; MyScienceWork; Naver Academic; Naviga (Softweco); Primo Central (ExLibris); ProQuest (relevant databases); Publons; QOAM (Quality Open Access Market); ReadCube; Research Papers in Economics (RePEc); SCOPUS; Semantic Scholar; Sherpa/RoMEO; Summon (ProQuest); TDNet; Ulrich's Periodicals Directory/ulrichsweb; WanFang Data; Web of Science - Emerging Sources Citation Index; WorldCat (OCLC);</p> <hr> <div> <p><span style="text-align: justify;"><img style="float: right;" src="/public/site/images/admin/Scopus_logo150px.jpg" width="111" height="110"> </span></p> <p><span style="text-align: justify;"> ”Since 2019 (29th Volume, 1st Issue) Studia Universitatis Vasile Goldis Arad - Economics Series is indexed in SCOPUS ELSEVIER”</span></p> </div> </div> <hr> <p><span style="text-align: justify;"><img style="float: right;" src="/public/site/images/admin/isi_uvvg2.jpg" width="185" height="67"> </span></p> <p><span style="text-align: justify;"> „Since 2018 (28th Volume, 1st issue), Studia Universitatis Vasile Goldis Arad - Economics Series is indexed in Clarivate - Web of Science Core Collection - Emerging Sources Citation Index” Analitics</span></p> <hr> <p> </p> <p><span style="text-align: justify;"><img style="float: right;" title="cross-check" src="/public/site/images/admin/crosscheck_it_trans.gif" alt="" width="140" height="50">The editorial board is participating in a growing community of <a title="what is crosscheck" href="http://www.crossref.org/crosscheck/index.html" target="_blank" rel="noopener">CrossCheck System’s</a> users in order to ensure that the content published is original and trustworthy, aiming to eliminate plagiarism and provide a high standard and quality peer-review.</span></p> <div style="width: 100%; float: left;"><hr> <p> </p> <img style="float: right;" src="/public/site/images/admin/Grammarly_logo.png" width="279" height="79"> <p><span style="text-align: justify;">Free language editing services for accepted papers by Grammarly.<br></span></p> <div style="width: 100%; float: left;"><hr> <p> </p> <p>Since 2015 (25th Volume, 1st issue), Studia Universitatis Vasile Goldis Arad - Economics Series uses <strong><a href="http://www.doi.org/" target="_blank" rel="noopener">DOI (Digital Object Identifier)</a></strong>as a permanent citation link to content article.</p> <hr> <p>Licensed under the Creative Commons — Attribution 4.0 International — CC BY 4.0 (<a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noopener">CC BY-NC-ND 4.0</a>)<img src="/public/site/images/admin/Untitled.png" width="150" height="31"></p> <hr> <div> </div> </div> </div>https://publicatii.uvvg.ro/index.php/studiaeconomia/article/view/824Modeling the Oil Price Influences Upon the Energy Sector in the Macroeconomic Context. Empirical Evidence from Central and Eastern European Countries2025-01-02T19:07:57+08:00Florin Cornel Dumiter fdumiter@yahoo.comȘtefania Amalia Nicoară jimonstefania@yahoo.comSamuel Nicoară nicoara.samuel@student.uoradea.roCristian Bențe cbente13@yahoo.comLuminița Păiușanpaiusan_luminita@yahoo.com<p>The oil price influences and tendencies have gained, lately major developments both at the European level and on the international level. Moreover, several interconnections between the energy sector and oil price influences have become the panacea of several important research and studies. In this article, we provide a qualitative and quantitative approach to the interconnections manifested between oil price movements and the developments of the energy sector. The study is focused on Central and Eastern European Countries which have similarities and differences both at the energy sector level and economy level. The econometric techniques used in this study reveal the importance of the causality relationship between oil price movements and the energy sector taking into account the macroeconomic context. The conclusions of this study highlight some important fine-tuning aspects that must be recalibrated in Central and Eastern European Countries to increase the economic outcomes, strengthen the energy sector, and respond properly to the oil price movement trends.</p>2025-01-02T18:45:12+08:00Copyright (c) 2025 Studia Universitatis Vasile Goldiș Arad, Seria Științe Economicehttps://publicatii.uvvg.ro/index.php/studiaeconomia/article/view/825The Impact of Ownership and Financial Stability on Bank Liquidity Creation2025-01-02T19:07:59+08:00Sudarto Sudartosudarto181920@gmail.comWiwiek Rabiatul Adawiyahwiwiekra@gmail.comNajmudin Najmudinnajmudin@unsoed.ac.idDian Purnomo Jatidian.jati@unsoed.ac.id<p>Employing a descriptive approach, this study intends to investigate the causal relationship between financial stability and liquidity creation and the effects of foreign ownership, local ownership, and financial stability on liquidity creation. The research sample included 35 banks listed on the Indonesia Stock Exchange based on a purposive sampling technique (non-random sampling) and the observation period between 2013 and 2020 utilizing quarterly data. According to the Granger causality test results, there is no reciprocal relationship between the creation of liquidity and financial stability. This indicates that the research variables avoid endogeneity problems. Using static panel data analysis, we discovered that neither foreign ownership nor financial stability has any impact on the creation of bank liquidity; however, the interaction between foreign ownership and financial stability has a significant positive impact, suggesting that the interaction between the two could become stronger. The asset-side liquidity creation component is the only one that plays this role. Domestic ownership favors liquidity creation, but there is less of an effect when ownership and financial stability are combined. When the creation of liquidity increases, production activities increase, suggesting that economic activity increases. Thus, these findings are useful for regulators and central banks in making economic and banking policies by considering bank ownership and stability.</p>2025-01-02T00:00:00+08:00Copyright (c) 2025 Studia Universitatis Vasile Goldiș Arad, Seria Științe Economicehttps://publicatii.uvvg.ro/index.php/studiaeconomia/article/view/826Value Added Tax and Economic Development: Focus on Human Capital Development2025-01-02T19:08:00+08:00Favour Orejesuoluwapo Kuyebifavour.kuyebi@stu.cu.edu.ngCordelia Onyinyechi Omoderoonyinyechi.omodero@covenantuniversity.edu.ng<p>This study investigates the impact of Value Added Tax on Economic Development and Human Capital Development from 1994 to 2022. Employing a longitudinal research design, the study utilizes data specific to Nigeria and obtained from the office of the Federal Inland Revenue Service (FIRS), the Statistical Bulletin of the Central Bank of Nigeria (CBN), and the World Bank. The collected data is then analyzed using the Johansen Co-integration, Vector Error Correction Model, and Vector Autoregressive analysis technique. The research establishes a connection between Value Added Tax (VAT) and the Exchange rate, demonstrating their impact on Economic Development and Human capital development in Nigeria. The verdicts show that both VAT and Exchange Rate significantly impact both Economic Development and Human Capital Development, though negatively. However, these findings are not meant to discourage but rather to serve as a catalyst for change. The recommendations outlined in the study emphasize the importance of training, oversight, exchange rate stabilization, investment in education, and financial security in promoting Economic Development and Human Capital Development in Nigeria. Tax regulatory authorities should improve management of VAT funds to ensure they are utilized for developmental objectives. Finally, organizations such as the EFCC must remain steadfast in their commitment to preventing the misuse or diversion of VAT funds meant for Capital Expenditure and the development of the nation’s human resources, thereby safeguarding the financial security of the government and the nation as a whole.</p>2025-01-02T18:57:05+08:00Copyright (c) 2025 Studia Universitatis Vasile Goldiș Arad, Seria Științe Economicehttps://publicatii.uvvg.ro/index.php/studiaeconomia/article/view/827Optimizing Financial Data Analysis: A Comparative Study of Preprocessing Techniques for Regression Modeling of Apple Inc.'s Net Income and Stock Prices2025-01-02T19:08:02+08:00Kevin Ungarkevin.ungar@ulbsibiu.roCamelia Oprean-Stancamelia.oprean@ulbsibiu.ro<p>This article presents a comprehensive methodology for processing financial datasets of Apple Inc., encompassing quarterly income and daily stock prices, spanning from March 31, 2009, to December 31, 2023. Leveraging 60 observations for quarterly income and 3774 observations for daily stock prices, sourced from Macrotrends and Yahoo Finance respectively, the study outlines five distinct datasets crafted through varied preprocessing techniques. Through detailed explanations of aggregation, interpolation (linear, polynomial, and cubic spline) and lagged variables methods, the study elucidates the steps taken to transform raw data into analytically rich datasets. Subsequently, the article delves into regression analysis, aiming to decipher which of the five data processing methods best suits capital market analysis, by employing both linear and polynomial regression models on each preprocessed dataset and evaluating their performance using a range of metrics, including cross-validation score, MSE, MAE, RMSE, R-squared, and Adjusted R-squared. The research findings reveal that linear interpolation with polynomial regression emerges as the top-performing method, boasting the lowest validation MSE and MAE values, alongside the highest R-squared and Adjusted R-squared values.</p>2025-01-02T19:00:29+08:00Copyright (c) 2025 Studia Universitatis Vasile Goldiș Arad, Seria Științe Economicehttps://publicatii.uvvg.ro/index.php/studiaeconomia/article/view/828The Dynamics of Labor Income Share in an Era of Robotic Automation: A Panel Data Analysis in High-Level Automation Countries2025-01-10T15:00:34+08:00Kemal Erkişikemal.erkisi@antalya.edu.trMelike Çetinmelike.cetin@antalya.edu.tr<p>This study examines the impact of robotic capital, physical capital, technological change, human capital, and trade globalization on labor income share dynamics in the era of robotic automation. Focusing on China, Germany, Japan, South Korea, and the United States – countries responsible for 79.2% of global industrial robotic installations from 2010 to 2023 – our analysis employs key variables such as labor income share, annual industrial robot installations, gross fixed capital formation, researchers in research and development, human capital index, and trade of goods and services. Estimations using Arellano-Bond, Generalized Estimating Equations, Driscoll-Kraay, and Arellano-Froot-Rogers methods reveal a consistent negative association between labor income share and robotic capital. Conversely, a positive relationship is observed with research and development. Notably, the study underscores the consistent negative impact of physical capital accumulation on labor income share across the Arellano-Bond, Driscoll-Kraay, and Arellano-Froot-Rogers methods. Furthermore, globalization, as assessed by the Arellano-Bond, Generalized Estimating Equations, and Driscoll-Kraay methods, is identified as a factor adversely affecting labor income share.</p>2025-01-02T00:00:00+08:00Copyright (c) 2025 Studia Universitatis Vasile Goldiș Arad, Seria Științe Economice