At the bottom and top of the educational system: Spatial patterns of highest educational attainment based on the Hungarian census of 2022

Introducing an employment variable with five levels of educational attainment per capita and employing inequality decomposition, this study addresses three questions. How does labour force vary by education and provinces? How does labour force utilization vary by education and provinces? What are the potential causes of differences? We find that the no‐primary‐education group is more endowed in less‐developed provinces and allocated most unequally among education groups across provinces, despite past universal primary education policies. The senior‐secondary‐education group with the largest labour share is a growing concern due to the lower employment rate and largest interprovincial inequality.

Research shows that education has played a crucial role in raising levels of earnings and that returns to education in Mexico have increased, particularly in higher education and in the upper tail of the conditional earnings distribution. The authors examine patterns of public spending on education in the face of further increases in earnings inequality. They analyze the incidence of benefits using two sets of data: data on unit costs per student by state and by education level, and data from surveys on household income and spending. Among their findings: Nationally, the poorest income groups get most of the national and state subsidy for primary education. At higher education levels the poor get progressively smaller subsidies. For all Mexico, government spending on primary education is very progressive. In lower secondary education it is neutral. And in upper secondary education it benefits mainly the middle and upper classes. Tertiary education is strongly regressive, benefiting mainly the richest deciles and mainly in urban areas. But those government patterns vary by region. In the central region average total spending is more uniformly distributed than the national pattern. In the northern region the subsidy is progressive. Primary education is neutral and higher levels of instruction are moderately regressive. In the central region primary schooling is very progressive, while lower secondary schooling is almost neutral. Upper secondary and tertiary instruction strongly benefit the richest income deciles. In the southern region basic (primary and lower secondary) education is very progressive, upper secondary education is neutral, and tertiary education is highly regressive. In Mexico City all levels of education except primary are strongly regressive. The authors show that public spending at the tertiary level is more regressive than household spending. So much of public spending on tertiary education favors non-poor families in urban areas that to reallocate the spending so that poor students have a chance to participate would require developing credit markets for higher education. The government's role should be to help overcome market failures in the financial sector, which limit the availability of long-term financing for higher education. These failures can be corrected through student loan programs or means-tested financial aid and scholarship programs. Such programs are rarely devoid of subsidy but are preferable to the direct, cost-free provision of services because the subsidy is targeted more closely to the source of market failure.

Bivariate choropleth mappings are proposed in this paper as an effective GIS-based approach that supports the monitoring of Sustainable Development Goals, listed in the Agenda 2030, namely build-up area expansion and population dynamics, the Tier II indicator for SDG 11 (11.3.1). This paper focuses on the application of a multidimensional approach to mapping land use efficiency in Poland between 2006 and 2018. The resulting data are assigned to counties and visualized as choropleth maps categorizing the counties based on the strength of land cover intensity and population growth. The proprietary class interdependence index (CII) based on the relationship between these two variables is used to evaluate class ranges of the bivariate choropleth map. The proposed cartographic presentation might be a useful and important tool in SDG monitoring as it provides information about the relation between population and land consumption rate, portraying the most correlated data in classes along the diagonal.

Searching is a fundamental but complex task in the map-reading process. Several psychologists have explored the role of visual search in cognition, and have proposed a number of models that may offer cartographers a basis for understanding how people search for specific map information. The purpose of this research was to examine the visual search process used by map readers when interacting with bivariate choropleth maps, and to assess the potential of one of psychology's models, Attentional Engagement Theory, for explaining that process. The study employed a standard search task that determined the efficiency of the search process by having subjects search for target colours among non-target colours across a map. An analysis of reaction times showed that the following variables affected search efficiency: target colour, the total number of objects on the map, and similarity of the target colour to all other non-target colours on the map. Keywords: visual search, cartography-colour, bivariate map.

Background: U.S. rural populations have been disproportionately affected by the syndemic of opioid-use disorder (OUD) and the associated increase in overdoses and risk of hepatitis C virus (HCV) and human immunodeficiency virus (HIV) transmission. Local health departments (LHDs) can play a critical role in the response to this syndemic. We utilized two geospatial approaches to identify areas of discordance between LHD service availability and disease burden to inform service prioritization in rural settings. Methods: We surveyed rural Illinois LHDs to assess their OUD-related services, and calculated county-level opioid overdose, HIV, and hepatitis C diagnosis rates. Bivariate choropleth maps were created to display LHD service provision relative to disease burden in rural Illinois counties. Results: Most rural LHDs provided limited OUD-related services, although many LHDs provided HIV and HCV testing. Bivariate mapping showed rural counties with limited OUD treatment and HIV services and with corresponding higher outcome/disease rates to be dispersed throughout Illinois. Additionally, rural counties with limited LHD-offered hepatitis C services and high hepatitis C diagnosis rates were geographically concentrated in southern Illinois. Conclusions: Bivariate mapping can enable geographic targeting of resources to address the opioid crisis and related infectious disease by identifying areas with low LHD services relative to high disease burden.

Using nationally representative household surveys, this paper examines the trends in attainment, enrollment, and access to tertiary (higher) education in India from 1983 to 2005. The findings suggest that there has been considerable progress in attainment and participation; however, they remain low. Important gaps exist in enrollment between rich and poor, rural and urban areas, men and women, disadvantaged groups and the general population, and states. Analysis of transition rates from secondary education to tertiary education and regression analysis indicate that inequality in tertiary education between disadvantaged groups and the general population is explained by low completion rates of secondary education. Inequality in tertiary education related to income, gender, rural residence, and between states is explained by: (i) differences in completion rates of secondary education, and (ii) differences in the probability of transitioning from secondary education to tertiary education. In particular, the importance of household income has grown markedly. Equitable expansion of secondary education is therefore critical for improving the equity of tertiary education. There is also a need to help qualified youth from low-income families and rural backgrounds to attend tertiary education, in particular the technical and engineering streams, in which participation is lower.

This article reconsiders the role of social origin in health selection by examining whether parental education moderates the association between early health and educational attainment and whether health problems mediate the intergenerational transmission of education. We used longitudinal register data on Finns born in 1986–1991 (n = 352,899). We measured the completion of secondary and tertiary education until age 27 and used data on hospital care and medication reimbursements to assess chronic somatic conditions, frequent infections, and mental disorders at ages 10–16. We employed linear probability models to estimate the associations between different types of health problems and educational outcomes and to examine moderation by parental education, both overall in the population and comparing siblings with and without health problems. Finally, we performed a mediation analysis with g-computation to simulate whether a hypothetical eradication of health problems would weaken the association between parental and offspring education. All types of health problems reduced the likelihood of secondary education, but mental disorders were associated with the largest reductions. Among those with secondary education, there was further evidence of selection to tertiary education. High parental education buffered against the negative impact of mental disorders on completing secondary education but exacerbated it in the case of tertiary education. The simulated eradication of health problems slightly reduced disparities by parental education in secondary education (up to 10%) but increased disparities in tertiary education (up to 2%). Adolescent health problems and parental education are strong but chiefly independent predictors of educational attainment.

A COVID-19 é uma doença respiratória aguda que foi classificada como pandemia em 11 de março de 2020, pela Organização Mundial da Saúde. Muitos esforços têm sido despendidos com o intuito de acompanhar e apresentar a distribuição espacial dos casos dessa doença e em várias escalas. São observadas abordagens metodológicas das mais diferenciadas, como mapas coropléticos e cartogramas, mapas com símbolos proporcionais, dinâmicos ou estáticos, além de gráficos e tabelas. Cada recurso adaptado às especificidades da escala ou do contexto regional. Com o objetivo de apresentar contribuições metodológicas para a representação de dados epidemiológicos, apresentamos a distribuição espacial dos casos confirmados da COVID-19 em Minas Gerais, até a data de 21 de junho de 2020, com uso de Cartogramas de Áreas Contíguas Univariados, de um Mapa Coroplético Bivariado e de um Mapa de Símbolos Proporcionais para a representação de dados relativos e absolutos. Os resultados evidenciaram a tendência de municípios com maiores populações ou maiores densidades demográficas apresentarem mais casos confirmados da doença e as medidas que relativizam os números absolutos de casos confirmados com a população residente, quando representados pelos cartogramas ou pelo mapa Coroplético Bivariado, revelaram informações que ficavam visualmente ocultadas pelas diferenças das áreas dos municípios.

BackgroundDespite efforts to view electronic health records (EHR) data through an equity lens, crucial contextual information regarding patients’ social environments remains limited. Integrating EHR data and Geographic Information Systems (GIS) technology can give deeper insights into the relationships between patients’ social environments, health outcomes, and geographic factors. This study aims to identify regions with the fastest and slowest access to outpatient physical therapy services using bivariate choropleth maps to provide contextual insights that may contribute to health disparity in access.MethodsThis was a retrospective cohort study of patients’ access timelines for the first visit to outpatient physical therapy services (n = 10,363). The three timelines evaluated were (1) referral-to-scheduled appointment time, (2) scheduled appointment to first visit time, and (3) referral to first visit time. Hot and coldspot analyses (CI 95%) determined the fastest and slowest access times with patient-level characteristics and bivariate choropleth maps that were developed to visualize associations between access patterns and disadvantaged areas using Area Deprivation Index scores. Data were collected between January 1, 2016 and January 1, 2020. EHR data were geocoded via GIS technology to calculate geospatial statistics (Gi∗ statistic from ArcGIS Pro) in an urban area.ResultsStatistically significant differences were found for all three access timelines between coldspot (i.e., fast access group) and hotspot (i.e., slow access group) comparisons (p < .05). The hotspot regions had higher deprivation scores; higher proportions of residents who were older, privately insured, female, lived further from clinics; and a higher proportion of Black patients with orthopaedic diagnoses compared to the coldspot regions.ConclusionsOur study identified and described local areas with higher densities of patients that experienced longer access times to outpatient physical therapy services. Integration of EHR and GIS data is a more robust method to identify health disparities in access to care. With this approach, we can better understand the intricate interplay between social, economic, and environmental factors contributing to health disparities in access to care.Supplementary InformationThe online version contains supplementary material available at 10.1186/s12913-024-10649-1.

AimParticipation in education is one of the strongest social determinants of health, yet the majority of the literature has examined early childhood education. We examined whether there are additional benefits...

This paper has contributed to confirming the link between education and health in developed countries. The analysis is based on 11 European Union countries. We estimate country-specific health functions, where the dependent variable is self-reported health status and the education attainment is one of the main inputs. All eight waves (1994-2001) of the European Community Household Panel are deployed. A random effects ordered probit is estimated in order to control, to a given extent, for unobserved heterogeneity. Explanatory variables are both time invariant (education attainment and gender) and time varying (gross wages, hours of work, age and living alone). Results confirm the positive impact of secondary education on health in most cases and tertiary education in all cases, even after controlling for other inputs in the health function and taking unobserved heterogeneity into account. Secondary education has an impact on health in all countries in the sample except for The Netherlands and UK. The effect does not differ between secondary and tertiary education in France, Ireland and Greece. The correlation between education and health is interpreted in different but complementary ways by diverse approaches and we may not disentangle the precise mechanism that connects health with education from our results. Anyway, it seems clear that better coordination is needed between education and health policies to effectively improve health literacy. Other relevant results from our study are that women register poorer health than men, age contributes to worsening health status and wages contribute positively to health.

Measuring Gender Equality in Education: Lessons from Trends in 43 Countries

Rapid urbanization exacerbates urban heat island (UHI) problem. Although urban green space (UGS) can produce multiple benefits for mitigating UHI, the accompanying problems of urban development cause multiple pressures on greenery. Therefore, the pattern of green spaces should be adjusted to adapt to the current situation of the built-up area, fully utilizing its cooling effect, which is of great significance for achieving sustainable and balanced urban development. We selected 849 community units in Harbin city for the study, calculated the urban green space pattern index (UGSP) based on geographically weighted principal component analysis (GWPCA), And used bivariate choropleth map and Cartesian coordinate system to explore the spatial relationship between UGSP and associated characteristics of urbanization (e.g., land function diversity and development intensity). The results showed the following. (1) Compared with traditional PCA, GWPCA can capture local details of UGSP, especially proportion of tree area was the most sensitive factor in the urban core area, and FRAC_MN and LSI were the sensitive factors in the west and south of urban outer areas, respectively. (2) The matching degree between development intensity (I) and UGSP was slightly better than that between land function diversity (D) and UGSP, and showed a more egalitarian phenomenon. (3) The equilibrium value (dLow) presented a relatively random spatial distribution when UGSP was less than D/I, and the unbalanced value (dHigh) was scattered in the core area. Both dLow and dHigh were concentrated outside the urban core area when UGSP was greater than D/I. Our study provides an effective guidance for community greenery to mitigate UHI and realize the harmonious coexistence between city and nature.

Rationale This article estimates the wage returns to different education levels in Germany, France, Italy and Spain by calculating the internal rates of return of tertiary education and upper secondary education and comparing them with lower secondary education. Takeaways •Employment income increases with education level. In the period 2010-2021 Germany was the country with the largest wage differential between individuals with a tertiary education and those with a lower secondary education, followed by France, Spain and Italy. •In these four countries the returns to tertiary education were over 10% higher than the returns to lower secondary education. Germany and France have the highest returns (around 20%), while Italy and Spain have lower returns (11% and 12%, respectively). •Regardless of field, the returns to long-cycle tertiary education are higher than the returns to higher vocational training. In addition, the returns to long-cycle tertiary education in the science, technology, engineering and mathematics fields are higher than in humanities. In all tertiary education specialisations, Germany stands out with the highest returns, followed by France, Spain and Italy.

For scholars of social stratification one of the key questions regarding educational expansion is whether it diminishes or magnifies existing inequalities in educational attainment. The effect of expansion on educational inequality in tertiary education is of particular importance, as tertiary education has become increasingly relevant for labour market prospects and life course opportunities. Our article studies the access to tertiary education of students with different social origins in light of educational expansion in Germany. First, we examine inequalities in access to four vertical alternatives of postsecondary education by means of multinomial regression with national data from four school-leaver surveys from 1983, 1990, 1994, and 1999. Second, for those students who enrol at a tertiary institution, effects of social origin on horizontal choices of fields of study are analysed. Results show that unequal opportunities to access postsecondary and tertiary institutions remain constant at a high level. Likewise, social background effects have not changed over time for the choice of field of study. Thus, students from different social backgrounds did not change their educational strategies irrespective of the ongoing expansion of secondary and tertiary education.