Search Results (68)

This research investigates higher education admission outcomes at Hungarian universities for ethnic Hungarian minority students residing in countries within the Carpathian Basin. The region is distinguished by a variety of national policies that impact minority education. By analyzing extensive data on the availability of mother tongue education, the status of minority rights, advanced level examination performance, and types of settlement using a wide range of statistical methods, our study reveals significant cross-national differences in the distribution of admission scores and central tendencies. Compared to lower and more varied scores for students from Ukraine and Romania, ethnic Hungarian students from Serbia and Slovakia achieved high average admission scores. Performance was notably more consistent among students from EU member states compared to non-EU regions, strongly linking outcomes to the more robust implementation of minority rights and better access to mother-tongue education within the EU framework. A critical finding is the strong positive correlation (Pearson r = 0.837) between admission scores and advanced level examination results, highlighting the pivotal role of these exams for the academic progression of these minority students. The Jonckheere-Terpstra test (p < 0.05) further confirmed significant performance differences between ranked country groups, with Serbian and Slovak students generally outperforming their Ukrainian and Romanian counterparts. Counterintuitively, settlement type (urban vs. rural) exhibited a negligible relationship with admission scores (r = 0.150), explaining only 2% of score variability. This challenges common assumptions and suggests other factors specific to the Hungarian minority context are more influential. This study provides crucial insights into the complex dynamics influencing Hungarian minority students’ access to higher education, underscoring cross-country educational inequalities, and informing the development of equitable minority rights and mother-tongue education policies in Central Europe for these often-marginalized communities. Full article

The Roma population is one of Europe’s largest ethnic minorities, often living in inadequate living conditions, worse than those of the majority population. They frequently lack access to essential services, even in high-income countries. This lack of basic services—particularly in combination with proximity to (stray) animals and human and solid waste—significantly increases environmental health risks, and leads to a higher rate of endoparasitic infections. Our study sheds light on the living conditions and health situation in Roma communities in Slovakia, focusing on the prevalence of intestinal endoparasitic infections across various settlement localisations. It highlights disparities and challenges in access to safe drinking water, sanitation, and hygiene (WASH) and other potentially disease-exposing factors among these marginalised populations. This study combines a comprehensive review of living conditions as per national data provided through the Atlas of Roma communities with an analysis of empirical data on parasitological infection rates in humans, animals, and the environment in settlements, applying descriptive statistical methods. It is the first study in Europe to provide detailed insights into how living conditions vary and cause health risks across Roma settlements, ranging from those integrated within villages (inside, urban), to those isolated on the outskirts (edge, sub-urban) or outside villages (natural/rural). Our study shows clear disparities in access to services, and in health outcomes, based on where people live. Our findings underscore the fact that (i) place—geographical centrality in particular—in an already challenged population group plays a major role in health inequalities and disease exposure, as well as (ii) the urgent need for more current and comprehensive data. Our study highlights persistent disparities in living conditions within high-income countries and stresses the need for greater attention and more sensitive targeted health-promoting approaches with marginalised communities in Europe that take into consideration any and all of the humans, ecology, and animals affected (=One Health). Full article

Background: Effective prevention of SIDS/SUID requires a multidimensional approach. It is essential to provide targeted support for marginalized families, improve access to healthcare services, and implement policies aimed at reducing social and economic inequalities. The parallel effective way to reduce the risk of sudden unexpected infant death is through increased awareness of proper infant care. Despite the guidelines available in many countries, the risk of infant death from non-medical causes is still reported. The aim of the study was to assess awareness regarding an infant’s sleep environment and safe sleep practices among Polish caregivers. Methods: The survey was conducted among 451 mothers of infants under 18 months of age. The survey questionnaire was prepared, which consisted of single- and multiple-choice questions with closed and open answers assessing safe sleep practices. Results: Analysis of the survey responses showed that most mothers in the sample (88.9%) were aware that the supine position is the safest. According to the survey, 74.5% of respondents believed that infants should not sleep in the same bed as parents or siblings. In addition, 78.3% of those women stated that infants should sleep separately in their own bed. Despite this knowledge, almost 37.76% of female respondents still put their infants to sleep in their parents’ bed. As many as 98.4% of respondents knew that any items should not be placed in an infant’s crib. Despite this knowledge, a third of respondents still placed additional items in their baby’s crib. In the study 90.7% of women believed that breastfeeding should begin within the first hour after birth. Conclusions: Knowledge of safe sleep recommendations, including sleep environment, sleep position, and spatial organization, does not always translate into proper caregiving practices. Understanding caregivers’ motivations and how they perceive medical information is critical to effective prevention of infant sleep safety. Full article

The gridded spatial distribution data of Gross Domestic Product (GDP) has a wide range of application values in many fields, such as regional economic analysis, urban planning, sustainable utilization of resources, and disaster risk assessment. However, currently the publicly accessible GDP grid datasets face limitations in terms of temporal coverage, spatial extent, and accuracy. Therefore, based on the remote sensing data of land use and nighttime light, this study developed two methods: the factor averaging method (FAM) and grid averaging method (GAM), and used Random Forest (RF) and eXtreme Gradient Boosting (XGBoost) algorithms to jointly construct the spatial model of GDP, so as to produce China’s 1 km gridded GDP in 2020. The experimental results show the following: (1) The GAM yields higher R² values than the FAM in modeling the three industries, and therefore, it is adopted as the basis for GDP spatialization modeling. (2) XGBoost achieves higher R² values than RF in modeling primary and secondary industries, but lower R² values in modeling tertiary industry. Consequently, both methods are combined to construct the overall GDP spatialization model. (3) The accuracy of the GDP spatialization results is evaluated based on town-level GDP statistics, with an R² value of 0.78, indicating its reliable predictive capability. (4) Compared with publicly available GDP datasets, our dataset exhibits consistent spatial distribution patterns and aggregation trends. Furthermore, our GDP dataset provides a more detailed depiction of variations within county-level administrative units. Therefore, the method proposed in this study offers a valuable option for generating a gridded GDP dataset, visually displaying the uneven economic development across various regions in China. It helps to uncover economic disparities among regions and provides data support for formulating differentiated support policies, so as to promote balanced regional development among regions. Furthermore, it contributes to promoting sustained, inclusive, and sustainable economic growth (SDG 8) and reducing inequalities within and among countries (SDG 10), thereby providing strong support for urban planning and sustainable development. Full article

Traditional classifications of global development, such as the developed/developing dichotomy or Global North/South, often oversimplify the intricate landscape of human development. This paper leverages computational tools, advanced visualization techniques, and mathematical modeling to challenge these conventional categories and reveal a continuous development spectrum among nations. By applying hierarchical clustering, multidimensional scaling, and interactive visualizations to Human Development Index (HDI) data, we identify “development neighborhoods”—clusters of countries that exhibit similar development patterns, sometimes across geographical boundaries. Our methodology combines network theory, statistical physics, and digital humanities approaches to model development as a continuous field, introducing novel metrics for development potential and regional inequality. Through analysis of HDI data from 193 countries (1990–2022), we demonstrate significant regional variations in development trajectories, with Africa showing the highest mean change rate (28.36%) despite maintaining the lowest mean HDI (0.557). The implementation of circle packing and radial dendrogram visualizations reveals both population dynamics and development continuums, while our mathematical framework provides rigorous quantification of development distances and cluster stability. This approach not only uncovers sophisticated developmental progressions but also emphasizes the importance of continuous frameworks over categorical divisions. The findings highlight how digital humanities tools can enhance our understanding of global development, providing policymakers with insights that traditional methods might overlook. Our methodology demonstrates the potential of computational social science to offer more granular analyses of development, supporting policies that recognize the diversity within regional and developmental clusters, while our mathematical framework provides a foundation for future quantitative studies in development economics. Full article

The reversal of the trend towards the decline in income inequality in the last four decades in most countries has created favorable grounds for the rise of nationalist and anti-globalization sentiments. Economic failures of countries, groups of people and individuals are among important factors that cause nationalism. The rise of nationalism in many countries in recent decades, as measured by the decline in the “pride in your own country” indicator from the World Values Survey, is statistically significantly related to the change in income inequality (Gini coefficient) within the country. When globalization is properly managed, it is good for growth and income distribution and does not lead to nationalism. But if it is accompanied by the decline in real incomes for large masses of people, nationalist political forces have additional arguments for instigating anti-globalization and isolationist sentiments. The rise in income inequality within major countries since the 1980s poses a threat not only to social stability, but also to globalization. Full article

The COVID-19 pandemic has exacerbated the challenges faced by children in Malaysia, particularly in terms of poverty and hardship. This has led to concerns about the long-term impact on children’s welfare, particularly in terms of educational and economic inequalities. The multidimensional nature of poverty is often overlooked in public policy discussions, and most countries use National Multidimensional Poverty Indices (MPIs) to define child poverty levels within a nation. This article aims to compare the results of a child-specific Multidimensional Poverty Index (MPI) with those of a household-specific MPI, considering the uncertainty surrounding the capacity of Household MPIs to accurately identify multidimensionally impoverished children. This study, conducted in Pahang, Malaysia, uses survey data to examine the multidimensional child poverty status and its dynamic changes. The modified child poverty headcount ratio, using the Alkire–Foster methodology, evaluates both the traditional headcount ratio of child poverty and the mean level of deprivation among disadvantaged children. The results indicate low poverty rates in Pahang and its districts. Increased policy attention has been called for due to rising unemployment among parents and the increasing number of bereaved children due to the pandemic. Full article

Primary studies analyzing the distribution of exposure to the consequences of climate change among different vulnerable groups are scarce. This study addresses this gap by investigating racial and economic disparities in high-temperature exposure in Brazil, focusing on the impact on vulnerable subpopulations. We utilized georeferenced temperature data from the Global High-Resolution Estimates of Extreme Heat (GEHE) and population data from the 2010 Census. The disparity analyses included (i) estimating the exposure rate to temperatures exceeding 28 °C, expressed as population-weighted heat exposure ($\overline{\mathrm{P}\mathrm{H}\mathrm{E}}$); (ii) determining the difference in exposure between the most and least exposed groups; and (iii) calculating weighted Gini coefficients. The findings reveal that low-income and black, brown, and indigenous populations are predominantly the most exposed to $\overline{\mathrm{P}\mathrm{H}\mathrm{E}}$ exceeding 28 °C. Nationally, the indigenous population is the most exposed racial group, with a $\overline{\mathrm{P}\mathrm{H}\mathrm{E}}$ 47% higher than that of the white population. Stratified analyses indicate that, despite varying climatic and environmental conditions across regions, the black-brown-indigenous population consistently faces the highest heat exposure in Brazil. Income disparity analyses show that the lowest per capita income groups are the most exposed to high temperatures across the country. The study highlights the impact of climate change on economic inequality and the deepening of within-country inequalities, particularly affecting socioeconomically disadvantaged groups. These findings underscore the urgent need for evidence-informed public policies to address racial and economic disparities in high-temperature exposure, mitigate health risks associated with climate change, and emphasize the importance of context-sensitive analyses for a comprehensive understanding of heat-related risks and public health. Full article

Most of the affordable housing communities are built in disadvantaged locations (e.g., the suburbs of Chinese cities) and are generally considered to be the main space for middle- and low-income groups to live in. After decades of development, with the relocation of residents, housing sales and the implementation of mixed housing policies in some countries, there is a common phenomenon of mixed living among different groups in many affordable housing communities. Existing studies have explored the differences and social inequities between affordable housing communities and other types of neighborhoods, but little attention has been paid to the differentiation of residents’ daily activities and the unfair access to resources within affordable housing communities. Understanding this difference is crucial to sustainable community development and the delicate management of cities. From a personal-based perspective, this study examines the sociospatial differentiation of different income groups in the community from two aspects: the multidimensional characteristics of the individual activity space and the availability of different types of urban space. The results highlight significant differences in the activity spaces of different income groups across four dimensions: extensity, intensity, diversity, and exclusivity. Low-income suburban residents have fewer opportunities to access inner-city and inner-suburban areas compared to their non-low-income counterparts. They are more constrained to the outer suburbs. Regression models show that income is a key factor influencing how outer-suburb residents use urban spaces. Other factors, such as one’s employment status, family structure, education level, and the built environment, also play an important role in shaping access to different urban resources. This study highlights the impact of income on social isolation within Chinese urban affordable housing communities. It provides nuanced insights that can inform future policy recommendations in a broader urban context. Full article

Background: Malaria remains a public health challenge in low- and middle-income countries (LMICs). Despite gains from strategies like Insecticide-Treated Nets (ITNs) and Intermittent Preventive Treatment during pregnancy (IPTp), significant socioeconomic inequalities persist, particularly among pregnant women and children under five. This study analyzed temporal and socioeconomic inequalities in malaria prevention in sub-Saharan Africa (SSA). Methods: Nationally representative Demographic Health Surveys from 10 SSA countries (Mozambique, Burkina Faso, Tanzania, Côte d’Ivoire, Madagascar Kenya, Rwanda, Nigeria, Uganda, and Cameroon) were used, comparing two time periods. Changes in ITN use by pregnant women and children under five, as well as IPTp coverage, were assessed. Inequalities based on socioeconomic status (SES) and residence were analyzed using the Erreygers Normalized Concentration Index and Theil index. Results: The results revealed significant variability in ITN use and IPTp coverage within countries. Eight countries showed improvements in ITN use during pregnancy, with Nigeria seeing a 173.9% increase over five years. Burkina Faso and Tanzania consistently reported high ITN use (~87%) in children under five. IPTp coverage increased in all countries except Kenya. Decomposition using the Theil index indicated that within-group inequalities, particularly based on SES and residence, were the primary drivers of disparities. Conclusions: To ensure progress toward universal health coverage, malaria prevention programs must prioritize vulnerable populations and be continuously evaluated. Full article

This study fills a significant research gap by examining the factors influencing the circular economy in Thailand, particularly within the context of developing countries. Utilizing regression and correlation analysis, we investigate key environmental and socioeconomic variables: greenhouse gas emissions, forest area percentage, income levels among the poorest 20% of the population, access to electricity, and income inequality. The novelty of this work lies in its comprehensive integration of these dimensions to identify barriers and sustainable circular economy. Key findings reveal that higher greenhouse gas emissions correlate with increased recycling, underscoring the need for stricter emission controls and cleaner technologies. Conversely, greater forest coverage is associated with reduced recycled waste, highlighting the importance of forest conservation and sustainable land use. Economic disparities significantly impact recycling efforts, necessitating supportive policies for lower-income groups. Increased access to electricity correlates with higher waste generation, emphasizing the need for sustainable consumption practices. Although income inequality correlates with recycling rates, it is not a significant predictor, indicating the necessity for broader economic and environmental policies. This study offers novel, comprehensive recommendations for advancing Thailand’s circular economy. Strategies include implementing emission controls, enhancing forest conservation, promoting economic empowerment, encouraging sustainable consumption, and developing integrated policies. These recommendations aim to address identified challenges and support sustainable growth in alignment with circular economy goals. Full article

The transport sector worldwide relies heavily on oil products, and private cars account for the largest share of passenger mobility in several countries. Public transport could represent an interesting alternative under many perspectives, including a decrease in traffic, pollutants, and climate emissions. However, for public transport to succeed, it should be attractive for final users, representing a viable alternative to private mobility. In this work, we analyse the spatial distribution of public transport service provision within two metropolitan cities, considering the three key dimensions of mobility, competitiveness, and accessibility of public transport. The results show that private car performs better than public transport in all scopes considered, and that performance indicators are highly variable among city areas, indicating inequalities in social and environmental sustainability in urban systems. The outcomes of the analysis provide interesting insights for policy makers and researchers that deal with similar topics, and can also be extended to other cities and countries. Full article

As its usage has grown, social media has positively and negatively impacted public health. Although social media presents known harms to mental health and spreads misinformation, it also offers rapid dissemination of public health information, expanded access to health resources, and a robust source of health information. However, these benefits are not equitably shared due in part to the “digital divide” of unequal access and use of information and communication technologies. Measurable inequalities in digital access exist among regions, with an eight-fold difference between Central Africa (9.8% social media penetration) and Northern Europe (80.2% social media penetration). Digital inequalities also differ by gender, age, and socioeconomic classes within countries. Increased digital access has been positively associated with improved health information and outcomes related to chronic diseases, infectious disease outbreaks, and reproductive health. Given the expanding role of social media in public health and the emerging evidence on the health benefits of digital access, we argue for reducing digital inequities by (1) creating an enabling government policy and regulatory environment that views digital health access as a social determinant of health; (2) targeting public and private investments to expand digital access for underserved regions and populations; (3) making digital access and use affordable to low-resource populations; and (4) improving digital competency among these groups through digital literacy programs. Full article

To limit global warming to 1.5 °C, it is imperative to accelerate the global energy transition. This transition is crucial for solving the climate issue and building a more sustainable future. Therefore, within the loaded capacity curve (LCC) theory framework, this study investigates the effects of digital adaptation, energy transition, export diversification, and income inequality on the load capacity factor (LCF). This study also attempts to investigate the integration effects of digital adaptation and energy transition, and digital adaptation and export diversification, on LCF. Furthermore, we explored how income inequality influences the LCF in economies. For this study, 112 countries were selected based on the data availability. Panel data from 2010 to 2021 were analyzed using the STATA software 13 application utilizing a two-step system generalized method of moments (GMM) approach. First, interestingly, our finding shows that digital adaptation and income significantly affect the LCF. An increase in income increases the LCF among the middle-income group of countries. Therefore, LCC is confirmed in this research. Surprisingly, energy transition, export diversification, and foreign direct investment negatively impact the LCF in the base model. Second, the impact of integrating digital adaptation and energy transition has a positive effect on LCF. Third, a negative correlation was observed between the interaction of export diversification and digital adaptation with the LCF. Fourth, a positive correlation was observed between the interaction of renewable energy and digital adaptation with the LCF. Finally, this study explores the impact of the energy transition, export diversification, and income inequality on the LCF with reference to the Organization of Petroleum Exporting Countries (OPEC). The result shows a negative effect between export diversification and LCF among OPECs at a 10% significance level. To improve the quality of our planet, policymakers must understand the forces causing climate change. By adopting a comprehensive perspective, the study aims to understand how these interrelated factors collaboratively influence the LCF thoroughly. Additionally, this research seeks to provide valuable insights related to energy transition, digital adaptation, and export diversification to policymakers, researchers, and stakeholders regarding possible avenues for cultivating a more joyful and sustainable global community. Full article

The COVID-19 pandemic accelerated the adoption of online learning, particularly in higher education institutions. This shift underscores the importance of sustainable education practices aligned with the United Nations’ Sustainable Development Goals (SDGs). SDG 4 emphasizes inclusive and equitable quality education, highlighting how online learning environments can enhance accessibility and flexibility for students worldwide. SDG 9 underscores the role of technological advancements in education. SDG 10 focuses on reducing inequality within and among countries, and online education can bridge educational disparities by offering flexible learning options to diverse socioeconomic backgrounds. SDG 17 emphasizes the importance of partnerships, which have been crucial in developing effective online learning solutions. This study investigates the relationship between undergraduate students’ self-regulated online learning, perceived flexibility, and attitudes towards the use of distance learning environments at a state university in İzmir, Türkiye. Utilizing a survey-type correlational research model, data were collected from 300 undergraduate students. The results indicate that undergraduate students exhibit high-level self-regulation, perceive moderate flexibility, and hold positive attitudes towards the use of distance learning environments. The analysis showed that self-regulated online learning is moderately correlated with perceived flexibility and strongly correlated with attitudes towards the use of distance learning environments. These findings suggest that both perceived flexibility and positive attitudes towards the use of distance learning environments play important roles in predicting self-regulated online learning. This research provides valuable insights for educators and institutions aiming to enhance the online learning experience by promoting self-regulated learning behaviors and flexible learning environments. Full article