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        <title>Journal of Social and Economic Statistics Feed</title>
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            <title>Journal of Social and Economic Statistics Feed</title>
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        <copyright>All rights reserved 2026, Bucharest University of Economic Studies</copyright>
        <item>
            <title><![CDATA[Zipf's Law and the Evolution of Musical Lyrics: A Comparative Analysis of the 1960s, 1990s and the Present]]></title>
            <link>https://sciendo.com/article/10.2478/jses-2025-0008</link>
            <guid>https://sciendo.com/article/10.2478/jses-2025-0008</guid>
            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Song lyrics offer valuable insights into the social and cultural contexts of each period, reflecting the themes and concerns of the time. This study applies Zipf's law to analyse the evolution of lyrical complexity using data from the Billboard Year-End Hot 100 singles during three distinct periods: 1959–1969, 1991–1999, and 2016–2024. To assess repetitiveness trends, the analysis employs the Zipf coefficient (α̂) and the coefficient of determination (R²) derived from log-log models. The findings reveal lower repetitiveness in both the 1960s and the contemporary period, according to the value of the coefficient α, with higher degree observed in the 1990s. Contrary to the initial hypothesis, the results suggest that the digital age has not contributed to the simplification of lyrics. This research underscores the influence of technology on music production and opens avenues for further exploration into its impact on other forms of art and culture.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[The Evolution of Medicine Prices in Romania – An Analysis on the Consumer Price Index as Against December Using Jdemetra+ 2.2.4]]></title>
            <link>https://sciendo.com/article/10.2478/jses-2025-0006</link>
            <guid>https://sciendo.com/article/10.2478/jses-2025-0006</guid>
            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

The pricing of medicines has become a critical issue across the world, which has consequences on both healthcare accessibility and economic stability. In this regard, policymakers, healthcare providers, and the general public should understand the price change dynamics to ensure appropriate prices for the medicines and access to them by all. The focus in this paper is on the Consumer Price Index for medicines in Romania, for the January 2019 to December 2022 timeframe. In this research, JDemetra+ 2.2.4 has been used for seasonal adjustment in assessing the impacts of economic policy. Results show important seasonal variations which significantly influence the role that CPI plays as an indicator of inflation and its possible use for policy making. These findings highlight on the necessity of using seasonal adjustment methodologies for capturing correct price trends in the conditions of changing economic dynamics.
]]></description>
            <category>ARTICLE</category>
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        <item>
            <title><![CDATA[Determinants of Employability in the EU: The Role of majority Attitudes and Perceptions Toward Roma Communities]]></title>
            <link>https://sciendo.com/article/10.2478/jses-2025-0010</link>
            <guid>https://sciendo.com/article/10.2478/jses-2025-0010</guid>
            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

This study explores the factors affecting employability among the general population within the European Union by analysing how socio-demographic traits, household situations, and mainstream attitudes towards Roma communities influence labour market outcomes. Using microdata from Eurobarometer 91.4 (2019), the analysis incorporates descriptive statistics, non-parametric tests, and binary logistic regression, complemented by probit regression and linear discriminant analysis as robustness checks.Findings show that older individuals, married respondents, and those in larger households are more likely to be employed, while financial hardships, rural living, and early career changes decrease these chances. Gender disparities still favour men. Attitudinal factors also play a significant role: limited contact with Roma people, low awareness of Roma in schools, and uncertainty about discrimination are linked to poorer employment prospects, whereas integrated labour market participants exhibit higher social distance regarding minority political representation, suggesting a complex socio-political cleavage. The study concludes that labour-market integration depends not only on structural elements but also on social visibility and intergroup familiarity, highlighting the need for policies that address both economic barriers and societal perceptions within the majority population.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Data That Saves Lives? Statistical Capacity as a Pillar of Health Governance: Evidence from 99 Countries]]></title>
            <link>https://sciendo.com/article/10.2478/jses-2025-0005</link>
            <guid>https://sciendo.com/article/10.2478/jses-2025-0005</guid>
            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

This study investigates whether stronger national statistical systems are associated with changes in recorded health outcomes, focusing primarily on maternal mortality and secondarily on child mortality across 99 countries from 2013 to 2023. Motivated by the heightened awareness of data gaps during the COVID-19 pandemic, the analys s evaluates whether statistical infrastructure—measured through the World Bank's Statistical Performance Indicator (SPI_ALL)—is associated with changes in recorded preventable mortality, consistent with differences in reporting completeness and governance capacity. Using dynamic panel estimators, specifically the two-step System GMM estimator within the Arellano–Bond / Blundell–Bond framework, we control for macroeconomic, institutional, and demographic factors. Results show that higher statistical capacity is significantly associated with higher recorded maternal mortality across both low- and high-income countries. In contrast, its effect on child mortality is statistically significant only in high-income settings. This asymmetry highlights the role of institutional capacity in mediating the effectiveness of data systems, particularly governments’ ability to translate information into actionable governance responses. The findings suggest that statistical capacity functions not merely as a monitoring tool but as a foundational component of public health governance. By linking national data systems to improvements in the measurement, coverage, and usability of mortality statistics, this study supports WHO's strategy for interoperable health information systems and reinforces global priorities under the 2030 Sustainable Development Goals (SDGs).
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Uncovering Patterns of Informality and Skills in the EU Through Cluster Analysis]]></title>
            <link>https://sciendo.com/article/10.2478/jses-2025-0007</link>
            <guid>https://sciendo.com/article/10.2478/jses-2025-0007</guid>
            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

The informal economy remains a persistent structural challenge across European countries, closely linked to governance quality, socio-economic development and skill disparities. This study examines how informality relates to skills by combining four alternative estimates of the informal economy with a wide set of educational, digital and institutional indicators. Using Elastic Net regularisation, we identify the most robust determinants of economic performance and subsequently apply k-means clustering to classify 26 European countries according to their profiles of informality and skills. Tertiary education, regulatory quality, digitalisation and life expectancy emerge as recurrent structural factors. The results consistently reveal two clusters: one comprising high-capacity, high-skill, low-informality countries in Western and Northern Europe, and another including lower-skill, higher-informality countries in Southern and Eastern Europe. The study contributes new evidence to a relatively limited European literature on informality and skills, highlighting the need for more granular regional analyses to capture internal heterogeneity and better inform targeted policy interventions.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[The Price Elasticity of Electricity Demand in Romania]]></title>
            <link>https://sciendo.com/article/10.2478/jses-2025-0009</link>
            <guid>https://sciendo.com/article/10.2478/jses-2025-0009</guid>
            <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

This paper examines the causal relationships in electricity consumption patterns and price using Granger causality analysis. Our methodology implements vector autoregression models while accounting for electricity's nature as an essential resource with low price elasticity. Through Seasonal Autoregressive Integrated Moving Average (SARIMA) modelling and stationarity assessments, we establish that electricity consumption demonstrates significant inelasticity to price fluctuations, with price series integrated of order I(1) and consumption series of order I(2). Our findings reveal a unidirectional Granger causality from consumption to price, while no significant causality exists from price to consumption. These results suggest that consumption behaviour is primarily influenced by structural and seasonal factors rather than price signals. Furthermore the findings of this article contribute to understanding the dynamics of the electricity market and opens a door to understanding the policy formulation of the governmentsduring the transition to renewable energy.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Overview of disruptive technologies. A bibliometric approach]]></title>
            <link>https://sciendo.com/article/10.2478/jses-2025-0004</link>
            <guid>https://sciendo.com/article/10.2478/jses-2025-0004</guid>
            <pubDate>Fri, 01 Aug 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Disruptive technologies have integrated into all aspects of our modern lives, rapidly transforming industries and economies on a global scale. Although this phenomenon has attracted considerable attention from researchers and specialists across various fields, there is still an acute need for a detailed and comprehensive analysis. These technologies are both expansive, having a large-scale impact, and specific, acting differently depending on the sector in which they are implemented. This research aims to conduct a rigorous bibliographic analysis, using the Bibliometrix R package and VOSviewer, to understand the fundamental concepts underlying these innovative technologies and their disruptive nature. The study will deeply investigate how disruptive technologies modify traditional economic structures, causing essential changes in the way businesses operate and how economies develop. Additionally, the key findings include the identification of major conceptual clusters, such as innovation management, digital transformation, and sustainability, and the emergence of technologies like blockchain, cloud computing, and additive manufacturing. Trend analysis also highlights a shift in focus over time, with formerly central topics like the internet declining in prominence.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Abstract versus Full Paper: A quantitative approach]]></title>
            <link>https://sciendo.com/article/10.2478/jses-2025-0003</link>
            <guid>https://sciendo.com/article/10.2478/jses-2025-0003</guid>
            <pubDate>Fri, 30 May 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

The purpose of this article is to observe the differences between the words from selected papers and the terms from summaries or introductory chapters, that correspond with the selected papers, using quantitative methods. To test the above hypothesis, we took the terms from abstracts and introductory chapters, of three different type of papers (a scientific article, a literature book and a methodological study), and we compared them with the most frequent words from the selected papers. Furthermore, we also applied different methods from text mining, such as calculating the phi coefficient or checking compliance with a specific empirical law (Zipf, Heaps), to spot the existent dissimilarities. Following this analysis, it can be observed, from a quantitative point of view, that certain frequent words from the complete writings are found in their introductory components, present a fairly high frequency and outline the main ideas from the respective texts. This paper was co-financed by The Bucharest University of Economic Studies during the PhD program.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Unraveling the link between E-Government and sustainable development indicators in Europe with the PLS path model]]></title>
            <link>https://sciendo.com/article/10.2478/jses-2025-0001</link>
            <guid>https://sciendo.com/article/10.2478/jses-2025-0001</guid>
            <pubDate>Fri, 30 May 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

As we see around us, technology is part of our lives and will gain more and more ground, leading to technology in all areas of life. In this context, digitalization plays a crucial role for the public sector and the citizens, especially young people who are the most connected generation in online communication. Very often, when discussing state institutions, it comes to light the need for more efficient changes since the interaction with public administration is very complex. The purpose of this study is to make a significant contribution to the digitalization literature by exploring how sustainable development indicators influence governance digitalization performance. The conceptual framework of this study combines the 2022 United Nations E-Government predictors with several 2022 World Bank world development indicators. The partial least squares path modeling method was used to explore 2022 secondary data for thirty-six European countries. The findings of this study reveal that technology usage, trust in the public sector, decent work and economic growth and education duration have a significant impact on the digital government performance. Therefore, these insights offer valuable practical implications for optimizing E-Government functioning in the European countries.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Exploring the Efficacy and Bias of Sentiment Analysis Tools in Customer Reviews]]></title>
            <link>https://sciendo.com/article/10.2478/jses-2025-0002</link>
            <guid>https://sciendo.com/article/10.2478/jses-2025-0002</guid>
            <pubDate>Fri, 30 May 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Sentiment analysis is an important technique for understanding public sentiment in customer feedback. This study aims to compare the effectiveness and reliability of BERT and VADER in analysing customer reviews from an e-commerce platform. We analyzed mean sentiment scores and standard deviations for each tool, using Spearman’s Rho to assess correlations between VADER and BERT results due to non-normal score distributions. Our findings reveal that VADER predominantly categorizes reviews as Neutral, with limited Positive and Negative classifications, while BERT shows a bias towards Negative sentiments with some Positive and no Neutral classifications. A weak positive correlation indicates limited agreement between the two tools. Additionally, neither tool showed a strong correlation with actual review ratings, highlighting challenges in accurately capturing nuanced sentiments. The study discusses potential biases inherent in each tool’s methodology – VADER’s lexicon-based approach may oversimplify sentiments, and BERT’s deep learning architecture may introduce a negative bias. These findings suggest that combining VADER’s efficiency with BERT’s contextual sensitivity – for instance, through hybrid models – can mitigate individual tool limitations and offer a more robust sentiment analysis framework for e-commerce businesses. By integrating these insights, businesses can optimize customer feedback systems, refine marketing strategies, and improve product development processes
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Resilience Analysis of the European Insurance Industry]]></title>
            <link>https://sciendo.com/article/10.2478/jses-2024-0009</link>
            <guid>https://sciendo.com/article/10.2478/jses-2024-0009</guid>
            <pubDate>Sun, 23 Feb 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

The insurance market does not generate only a risk dispersion tool, but constitutes a complex system that contributes to the efficient and effective functioning of the economy. In order to guarantee the fundamental role of this market in sustainable economic growth, insurers must prove resilience in the face of risk and uncertainty generated by the complexity of the system of interdependencies in which they operate. The purpose of the article is to analyze the resilience of the European insurance market, its adaptability to changes and the recovery of delays caused by recent health (especially the COVID-19 pandemic). The data used include variables that define the European insurance system (such as gross written premiums, gross claims incurred, total technical expenses, total assets, total liabilities and number of entities) from EIOPA’s annual statistics from 2017 to2023. Analysis tools include cluster analysis to evaluate the dissimilarity and similarity of European Union countries. The resilience of the insurance industry to shocks was also analyzed from the perspective of financial performance by using a clusterization analysis in order to group countries based on Euclidean distance. The results indicate a grouping of countries in two clusters whose composition remained relatively stable to shocks.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Understanding Young Informal Workers in the European Union: Pre-Pandemic Labour Market Dynamics]]></title>
            <link>https://sciendo.com/article/10.2478/jses-2024-0010</link>
            <guid>https://sciendo.com/article/10.2478/jses-2024-0010</guid>
            <pubDate>Sun, 23 Feb 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

Young people are one of the most important groups in the labour market, but also one of the most vulnerable. They do not find it easy to enter the labour market, which may have a negative impact on the growth of undeclared work among this group. The main objective of this study is to establish a baseline understanding of the situation of young informal workers prior to the pandemic by developing a comprehensive profile of these workers at the EU27 level. This profile is based on statistical analysis of undeclared work data from Eurobarometer 92.1/2019. The results of this study include: the share of young informal workers in the EU27, the types of activities they perform, the sectors of the labour market in which they perform these activities and the reasons why they perform them. By creating this profile, this study aims to contribute to future research that will provide a clearer understanding of how the Covid-19 pandemic has led to labour market changes in youth informality.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Gender Gaps in Undergraduate Mathematics Performance in Romania: An Analysis Using General Linear Models]]></title>
            <link>https://sciendo.com/article/10.2478/jses-2024-0008</link>
            <guid>https://sciendo.com/article/10.2478/jses-2024-0008</guid>
            <pubDate>Sun, 23 Feb 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

This paper investigates gender gaps in mathematics performance among Romanian Baccalaureate students across four educational profiles: Mathematics-Informatics, Natural Sciences, Technological, and Pedagogical, between 2017 and 2023. Using descriptive statistics, and statistical analyses such as t-tests and General Linear Models, the study reveals consistent gender disparities in mathematics performance, with female students generally outperforming male students. The results highlight significant variations in performance across the different educational profiles, pointing to a need for profile-specific educational interventions. The spatial analysis underscores the need for targeted strategies that address not only gender gaps, but also regional inequalities. The findings suggest that Romania’s policy of equal access to education may not fully address the differences in educational outcomes, thereby calling for tailored interventions to bridge the performance gaps across gender, profile, and region.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Exploring the Labor Market Implications of the Pandemic for Women]]></title>
            <link>https://sciendo.com/article/10.2478/jses-2024-0007</link>
            <guid>https://sciendo.com/article/10.2478/jses-2024-0007</guid>
            <pubDate>Sun, 23 Feb 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[

The labour market has been profoundly impacted by the pandemic. Efforts to preserve employment during lockdowns have led to a significant shift toward remote work across various sectors, intensifying challenges in balancing work and family responsibilities. Our paper investigates how women were affected by the pandemic in terms of work and family. We rely on data from the Eurobarometer ‘Women in times of COVID-19’ to assess the experiences of women aged 15 and above in the 27 Member States of the European Union. A logistic regression-based approach is employed to evaluate which women were most impacted by the pandemic in terms of labour market participation and income reductions. The results revealed that women in rural areas or those being self-employed were more likely to be vulnerable. Furthermore, women caring for children under 15 encountered substantial difficulties in the labour market. Income reduction and decreased labour market participation were also challenging for women who experienced a negative impact on their mental health due to government measures during the pandemic or those who became more financially dependent on partners or family members.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Analysis of Vulnerable Migration in European Union Countries Using a Gravity Spatial Model: The Syrian Case]]></title>
            <link>https://sciendo.com/article/10.2478/jses-2024-0006</link>
            <guid>https://sciendo.com/article/10.2478/jses-2024-0006</guid>
            <pubDate>Tue, 24 Dec 2024 00:00:00 GMT</pubDate>
            <description><![CDATA[
Migration represents a complex phenomenon that, when associated with vulnerability, becomes a theme of particular importance in the current global context.
The refugees’ crisis had a direct influence on permanent migrants. The COVID-19 pandemic had an impact on short-term migration, increasing the quantity of short-term migrants while decreasing the number of long-term displacement. In this context, the data presented in our study are from 2019, a year in which the mobility constraints resulting from the pandemics have not yet had an impact on migratory flows.
All European Union countries were covered, except Cyprus, where data was unavailable. Our study uses a gravity model of migration Syrian migrant. Through our analysis, we aimed to capture the determinants of migration flows from Syria to EU countries. It also aims to capture a range of spatial effects that may have an impact on the factors influencing the migration flows of Syrian migrants into the European Union countries. The results showed significant influences on Syrian migration flow to European Union countries, distance being a decisive factor in the decision to migrate.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Forecasts of Performance Indicators in the Health System Using the Arima Method]]></title>
            <link>https://sciendo.com/article/10.2478/jses-2024-0005</link>
            <guid>https://sciendo.com/article/10.2478/jses-2024-0005</guid>
            <pubDate>Sat, 21 Dec 2024 00:00:00 GMT</pubDate>
            <description><![CDATA[

This paper presents quarterly forecasts on several performance indicators from the Romanian health system, from a county emergency hospital. Using data from the period 2010-2022, forecasts are made for the period 2023-2025 of the average duration of hospitalization, the rate of bed utilization, the index of complexity of cases, the number of cases and the average cost of hospitalization. The method used is that of the auto-regressive integrated moving average (ARIMA) applied to time series. The Dickey-Fuller test is used to check the stationarity of the time series, as well as other tests for the validation of prediction models.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Transition Trajectory: VAR Projections of Romania’s Shift to Renewable Energy]]></title>
            <link>https://sciendo.com/article/10.2478/jses-2024-0004</link>
            <guid>https://sciendo.com/article/10.2478/jses-2024-0004</guid>
            <pubDate>Sat, 21 Dec 2024 00:00:00 GMT</pubDate>
            <description><![CDATA[

Romania, along with many other nations, must take urgent action to significantly reduce greenhouse gas emissions to effectively address climate change. Through an examination of Romania’s renewable energy potential and strategies for transitioning to a more sustainable energy system, this study employs a Vector Autoregressive (VAR) model to explore the complex dynamic interrelationships between various energy sources within Romania including solar power, hydropower, coal, and natural gas. The results indicate that increased production of renewable resources, particularly solar and hydroelectric energy, serves to diminish reliance on fossil fuels by negatively impacting thermal energy output. Impulse response functions reveal that short-term shocks to thermal energy production lead to temporary decreases in solar and nuclear energy generation, followed by a gradual stabilisation, while variance decomposition analysis underscores solar energy's pivotal role in influencing other energy sources. The findings highlight Romania’s ability to replace polluting sources with environmentally friendly alternatives, implying that policies aimed at diversifying the energy mix, investing in green infrastructure development, and fostering innovation across industries are fundamental. Such strategies not only enhance Romania's energy sustainability over the long term but also contribute to broader economic growth and environmental protection objectives.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Service Quality and Customer Patronage of Telecommunication Products in Akwa Ibom State, Nigeria]]></title>
            <link>https://sciendo.com/article/10.2478/jses-2024-0003</link>
            <guid>https://sciendo.com/article/10.2478/jses-2024-0003</guid>
            <pubDate>Thu, 15 Aug 2024 00:00:00 GMT</pubDate>
            <description><![CDATA[

This study examined the relationship between service quality and patronage of telecommunication products in Akwa Ibom State, Nigeria. Service quality was measured using tangibility, reliability, responsiveness, simplicity, and availability. Primary data were collected via questionnaires from 384 respondents using convenience sampling. Descriptive statistics and regression analyses were used for data analysis. The results showed significant positive relationships between service quality dimensions and patronage: tangibility (r = 0.875), reliability (r = 0.837), responsiveness (r = 0.897), simplicity (r = 0.649), and availability (r = 0.462). The SEM analysis confirmed these findings, revealing that reliability and responsiveness were the strongest predictors of patronage, followed by availability, simplicity, and tangibility. The model fit indices indicated an acceptable fit, validating the hypothesized relationships. Recommendations include enhancing the physical environment and facilities to reflect the organization’s values, ensuring promised services are delivered, and promptly addressing customer problems. Telecommunication companies should focus on understanding and meeting customer needs to encourage continued patronage.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Effects of COVID-19 on Living Standards of Households in the North East Region of Ghana: A Linear Mixed Effects Model Approach]]></title>
            <link>https://sciendo.com/article/10.2478/jses-2024-0002</link>
            <guid>https://sciendo.com/article/10.2478/jses-2024-0002</guid>
            <pubDate>Thu, 15 Aug 2024 00:00:00 GMT</pubDate>
            <description><![CDATA[

The world was severely hit by the novel coronavirus (COVID-19) in the latter part of 2019. The coronavirus is an ongoing global pandemic caused by severe acute respiratory syndrome coronavirus (SARS-CoV-2) and was first identified in Wuhan, China. The pandemic has devastated every sector of Ghana's economy and has significantly affected the living standards of people in the country. This study seeks to investigate the effects of COVID-19 on the living standards of households in Ghana using the North East Region as a case study. A sample of 399 respondents was drawn from the six (6) districts/municipalities using a single-stage cluster sampling technique. A linear mixed-effects model was used to investigate the fixed effects and the random effects in the study. Results from the study showed that variables such as the marital status of respondents, highest educational level of respondents, dependents, and employment status of respondents had significant fixed effects on the living standard of households in the Region. Overall, the study results showed that COVID-19 had significantly affected most households which has resulted in deteriorating living standards making the overall living standards worse in the Region. It was recommended in the study that a similar investigation be carried out in other parts of the country to get a more holistic view of the effects of the pandemic.
]]></description>
            <category>ARTICLE</category>
        </item>
        <item>
            <title><![CDATA[Mapping Bucharest: Analyzing the Six Sectors Through Geospatial Data and Spatial Autocorrelation]]></title>
            <link>https://sciendo.com/article/10.2478/jses-2024-0001</link>
            <guid>https://sciendo.com/article/10.2478/jses-2024-0001</guid>
            <pubDate>Thu, 15 Aug 2024 00:00:00 GMT</pubDate>
            <description><![CDATA[

Connectivity at the level of basic services within a city is the basis for adopting an investment strategy, both at the level of public administration and in the private environment. In addition, based on the concept of connectivity to citizens' basic needs, individuals can make decisions about purchasing a home. Therefore, the paper aims to analyse Bucharest, at the level of the 6 administrative sectors, from the perspective of connectivity to basic services (health, education, culture, etc.). In order to achieve this objective, with the help of GIS technology, relevant data will be extracted on residential buildings, transport infrastructure, and variables characterizing basic services at city level, for all 6 sectors of the capital. At the level of the 6 sectors of the capital there are structural differences in terms of access to basic services, especially as a result of the expansionary residential trend in the peripheries of the 6 sectors of Bucharest.
]]></description>
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