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EJPAR - Issue 3

Title	DEVELOPMENT OF PUBLIC ADMINISTRATION THROUGH ARTIFICIAL INTELLIGENCE
DOI	DOI: 10.47743/ejpar.2024-3-3
Author	Bogdan-Ștefan Cernat, Ana-Maria Bercu
Abstract	Both the specialized literature in the field of public administration and the official sources of information regarding artificial intelligence have shown that there is a desire to renew the administrative system, to the same extent that there is also a trend towards digitization. In the last decade, numerous directions of action oriented towards the implementation of artificial intelligence ecosystems have been outlined, and a relevant number of states around the world are undertaking measures with a unitary goal, especially in the European Union space. The purpose of this article is to establish the potential for the development of public administration through artificial intelligence, to establish the limits of action of modern ecosystems and the impact it has on servants of the state, on the one hand, and on the other hand, on citizens. The methodology used to create this article is based on the study of specialized literature, official websites that provide information about artificial intelligence, and the methods used are documentation and critical analysis. The importance of this study emerges from the increasing use of technologies based on artificial intelligence and its use in daily activities.
Keywords	artificial intelligence, public administration, development, public institutions
JEL Codes	H83, J18

Title	EXPLORING THE LANDSCAPE: A LITERATURE REVIEW OF AI'S IMPACT ON HUMAN RESOURCE MANAGEMENT
DOI	DOI: 10.47743/ejpar.2024-3-6
Author	Daniel-Florin Dăniloaia
Abstract	This article explores literature and finds the transformative impact of artificial intelligence (AI) on human resource management (HRM), highlighting its applications and benefits across various HR functions. AI enhances recruitment, training, performance management, and compensation by automating routine tasks and providing advanced analytics. This allows HR professionals to focus on strategic decision-making and personalized employee engagement. Despite challenges such as data privacy concerns and algorithmic bias, AI improves efficiency, accuracy, and employee satisfaction. The article emphasizes the need for balancing technological advancements with ethical considerations to ensure AI complements rather than replaces human skills.
Keywords	human resource management, artificial intelligence, AI-Driven HR functions
JEL Codes	M10

Title	THE IMPACT OF BANKING SECTOR DEVELOPMENT ON ECONOMIC GROWTH: THE CASE OF EU COUNTRIES
DOI	DOI: 10.47743/ejpar.2024-3-2
Author	Simona Dinu, Angela Roman
Abstract	Using a multiple linear regression model, this paper examines the role of banking sector development on economic growth in the European Union member countries. The analysis covers a period of 21 years (2000-2020) and is based on data obtained, mainly, from the World Bank's World Development Indicators database. Our empirical results would indicate a strong and statistically significant link between the development of the banking sector and economic growth, both at the level of the EU countries and at the level of the other two groups of countries (euro area countries and non-euro EU countries). However, we obtain some different results in the case of EU countries, which are not members of the euro area. In general, our findings are in line with economic theory, but also with the results of empirical studies relevant to our topic.
Keywords	banking sector, credit, economic growth, EU countries.
JEL Codes	G21, O40, C33

Title	DEVELOPMENT OF YOUTH EMPLOYABILITY ISSUES BY VOLUNTEERISM APPROACHES
DOI	DOI: 10.47743/ejpar.2024-3-4
Author	Magdalena Camanaru, Adriana Prodan
Abstract	There is a global warning signal regarding youth employability, with an estimate of a quarter of world youth population – i.e. 290 million youth aged 15 – 25 years old included in the NEETs (“not in education, employed or in training”) category. Last data provided by EUROSTAT in 2022 shows that Romania have almost 20% of its 15 – 29 years old youth as NEETs (19.8%). This percent is almost double compared to EU average of 11.7%. Therefore, a lot of effort was invested into funding special programs and projects aiming at increasing qualification, professional skills and education levels in youth. Between 2007 – 2015 more than 62% of the budget allocation targeting youth in general and NEETs youth in particular (Priority Axe 2 – Improve the Situation of Youth from NEETs Category), as part of the financial exercise for Romania, came from the Social European Fund, and the impact of this investment has not been assessed, yet (QURES, 2016, pp. 39). Volunteerism, though, as a means of gaining necessary skills and competences needed to find a job on the labour market, is often disregarded, although there are studies and initiatives that show there is a correlation between volunteerism, competences and increased employability chances, thus, underlining the economic capital volunteerism brings. The current article proposes to analyse the importance of volunteerism in increasing employability chances in youth in general, NEETs youth in particular, through comparative data showcase and examples from various countries, coming from practice and literature review, including Romania’s efforts in this regard.
Keywords	volunteerism, employability, competences, youth, NEETs.
JEL Codes	F66, J24, J69, M54

Title	ANALYSIS OF FACTORS AFFECTING THE PERFORMANCE OF BANKING SYSTEMS IN POST-COMMUNIST EU STATES
DOI	DOI: 10.47743/ejpar.2024-3-1
Author	Alina Maria Benghea, Iulia Cristina Iuga
Abstract	This study investigates the impact of specific banking factors and macroeconomic factors on banking performance indicators (ROA and ROE) in post-communist EU member states for the period 2000 – 2020. To determine the significant impact, an econometric panel data regression model was used. The study's results indicate that specific banking factors (Bank Size and Overhead Cost) have a negative impact on profitability indicators ROA and ROE, while other specific banking factors (Net Interest Margin and Non-Interest Banking Income) have a positive impact on the dependent variables. There is a positive impact of macroeconomic indicators on profitability indicators ROA and ROE, except for inflation, which has a negative impact on both ROA and ROE.
Keywords	banking performance; OLS; specific banking factors; macroeconomic factors
JEL Codes	G21

Title	STABILITY OF THE BANKING SECTOR AND MACROECONOMIC PERFORMANCE IN THE COUNTRIES OF THE EUROPEAN UNION
DOI	DOI: 10.47743/ejpar.2024-3-5
Author	Mina-Mădălina Toma, Angela Roman
Abstract	The paper aims to discuss the current challenges of the banking sector in terms of risks in bank lending and to highlight the importance of effective risk management. The analysis spans a 21-year period (2000-2020) and focuses on three groups of countries, namely all European Union (EU) countries, euro area countries and non-euro area countries. Using a multiple linear regression model and the Generalized Method of Moments (GMM) we empirically investigate the impact of macroeconomic factors on the stability of the banking sector, as measured by the non-performing loan (NPL) ratio. Our contribution consists in empirically analyzing the impact of macroeconomic factors on credit risk as measured by the NPL ratio and identifying its key determinants, while also assessing the stability of the banking sector
Keywords	banking sector, non-performing loans, macroeconomic factors, EU countries
JEL Codes	G21, C33, O52

ISSN-L 3008-4504