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Due to its complex character, the evaluation of the way an individual is religious involves multidimensional approaches, which includes both aspects of creeds and effective manifestation. The exhaustive bibliometric analysis reveals eight main research themes of interest, at the interaction of religiosity and youth. In the context of assessing religiosity, the paper further provides an analysis of the religious phenomenon among Romanian adolescents and young adults. It employs an exploratory factor analysis for identifying the specific religiosity dimensions, and principal components analysis for reducing dimensionality and for a more in-depth analysis. Both adolescents and young adults exhibit a relatively strong level of internal religiosity, which pertains to personal beliefs and faith. Additionally, both groups demonstrate a moderate level of external religiosity, which refers to religious practices and behaviours.
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Youth Religiosity: A Bibliometric Coverage and Quantitative Assesemnt of Internal and External Dimensions

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The purpose of this article is to determine the factors influencing the birth rate in Romania, by incorporating explicitly the spatial factor in the proposed models. The study is justified by the dramatic fall of the birth rate over the past three decades. With a negative natural population growth and an increasing number of emigrants, the population will become older and there will be a few million less in the next decades. To achieve the objective, various spatial modelling methods were used, such as Spatial AutoRegressive Model (SAR), Spatial Error Model (SEM), Geographically Weighted Regression (GWR) and a spatial panel data model. The data granularity is at the county level for the year 2020. Results show that GDP per capita and the amount of financial support received by families for raising a child have a significant effect on the birth rate. Using a spatial approach for modelling the birth rate, we reveal demographic problems that may exist in certain areas and identify the regions that would require a policy to stimulate birth rates.
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Economic Determinants of Birth Rate in Romania. A Spatial Analysis

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Cereal grains are basic nutrients in the human diet. Given the production capacity gap between countries, food security is subject to global challenges. The Russian invasion of Ukraine from February 2022 has inevitably raised concerns on the resilience of the agro-food system. In this paper, we use network theory to examine the export flows of the European producers of wheat, maize, and barley. Based on annual data from the United Nations Comtrade database, we build specific weighted and directed networks to comparatively assess the dynamics of cereal exporting patterns. We employ centrality metrics for network statistics and modularity for community detection. The central hub for all three cereals remained unchanged. Our results show the following core countries Russia for wheat, France for barley and Ukraine for maize. Their main export destination is also the same, from Russia to Türkiye, France to China and Ukraine to China respectively. Compared to the previous year, several destinations including low-income countries worldwide did not appear as recipients of the Ukrainian exports, but additional countries located in Europe and interconnected by land emerged as partners. This study provides a general assessment of the European exports to support a better understanding of the community structure under the Russo-Ukrainian conflict setting.
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An Assessment of the Russo-Ukrainian Conflict on the European Cereal Exports Using Network Theory

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The Digital Economy and Society Index can be considered a complex indicator that measures the digital performance of the European Union. This indicator has undergone some methodological changes, precisely to be permanently aligned with the European Union’s development strategies but especially with technological development. The aim of the paper is to highlight the impact of the standard of living and its components on digital performance at the level of the European Union. Moreover, the paper will analyse the current state of digital performance at the level of the European Union. The results can serve as a policymaking tool to facilitate the implementation of the digitalisation project at the European level.
In this article, hierarchical clustering was used to define groups of countries from the perspective of digitalisation. Ward’s algorithm determined four homogeneous clusters that were presented in the analysis. This approach serves as a hypothesis to test the correlation between digital performance and living standards. Thus, with the help of the linear correlation coefficient, a strong positive relationship was identified between the Human Development Index and the Digital Economy and Society Index. Moreover, at the level of the Human Development Index components, it was identified that individual well-being and education correlate linearly with the Digital Economy and Society Index; therefore, the analysis was completed with a multiple regression to verify this dependence. The last part of the case study is represented by the classic linear regression model, which confirms the hypothesis that living standards influence digital performance.
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The Impact of the Standard of Living on Digital Performance in the European Union

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Currently, in the business world, important attempts are being made to assess the possibility of verifying the creditworthiness of companies by going beyond traditional financial data and incorporating alternative data as well. Does the fact that the board of a company has a certain structure influence the financial health of that company? The paper’s objective is to ascertain if there is a correlation between the board of directors’ gender diversity, financial performance, and the probability of default for that respective company. The empirical study examined a sample of Romanian companies engaged in international trade. Using natural language processing techniques, I predicted the gender of the respective director by his/her first name. The second step of the research was the analysis of the correlation between the percentage of women on the board and traditional financial indicators such as profit or turnover, and the correlation between the percentage of women on the board and that company’s probability of default. The results show that there is generally not a strong correlation between the percentage of women on the board of the company and the other financial and risk indicators at the entire population level, but there is a strong correlation for some specific industries such as education, meaning that there are industries were the presence of women in board really impacts the performance of the business.
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Does Board Gender Diversity Really Improve Financial Performance and Default Risk? Evidence from Romanian Companies Engaged in International Trade

AHEAD OF PRINT

Volume 12 (2023): Issue 2 (December 2023)

Volume 12 (2023): Issue 1 (July 2023)

Volume 11 (2022): Issue 1-2 (December 2022)

Volume 10 (2021): Issue 1-2 (December 2021)

Volume 9 (2020): Issue 2 (December 2020)

Volume 9 (2020): Issue 1 (August 2020)

Volume 8 (2019): Issue 2 (December 2019)

Volume 8 (2019): Issue 1 (July 2019)

Journal of Social and Economic Statistics

 The Journal of Social and Economic Statistics (JSES) is an electronic open access journal that aims to publish original papers that make interesting and novel contributions to statistical theory and its applications to real life problems.  JSES is a publication of the Department of Statistics and Econometrics of the Bucharest Academy of Economic Studies.  The journal is published two times a year (Summer and Winter issues).  The Journal is indexed in the following databases: EBSCO, RePEc, and ERIHPLUS.  As information is increasingly gaining prominence in today’s globalised society, statistical methods represent a tool of constant interest and usage. There is a multitude of issues which deserve to be studied theoretically and empirically, which are useful for researchers, managers and policy makers alike.  To gain a more comprehensive and deeper understanding on how statistical methods can be conceptualized and understood, the Journal of Social and Economic Statistics aims to present new research on the theory and practice of statistics.  The goal of JSES is to bring together articles which contribute new research ideas in all areas of statistical science, the latest theoretical and applied research in statistics. JSES calls for contributions on how statistical methods can be conceptualized, developed and applied in social and economic practical settings. We welcome empirical papers, especially papers addressing insights from case study research, which can contribute to advancing our knowledge in this important area.  Theoretical, methodological and/or empirical research papers in any sector of the economy and society, qualitative and quantitative studies, as well as conceptual approaches are invited. Suitable topics include but are not limited to:   Theoretical, applied, computational or conceptual papers related to statistics and econometrics  Modelling and simulation  Studies that focus on how statistical methods can be employed to investigate microeconomic, macroeconomic, forecasting, business, and finance related topics  Decision analysis and decision techniques  Research methods   Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 