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"SOCIOECONOMIC INDICATORS"
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Ethnic Minorities in Northern Mountains of Vietnam
This study provides estimates of key socio-economic indicators reflecting employment, poverty, and welfare of ethnic minorities in Northern Mountains of Vietnam. The ethnic minorities in Northern Mountains have much lower assets and income than ethnic minorities in other regions. Their income is mainly from crops and livestock. Compared with Kinh/Hoa (ethnic majorities) and ethnic minorities in other regions, ethnic minorities in the study area have substantially lower income from wage and non-farm employment. By decomposing the income gap between the ethnic minorities in Northern Mountains and those in other region, this study provides the first evidence that the income gap between the two groups is mainly explained by the gap in wage and nonfarm incomes. Northern Mountain ethnic minorities spend less time on wage and nonfarm employment. Their non-farm income per working hours and farm income per working hours are substantially lower than those of other households.
Journal Article
The impact of socio-economic indicators on COVID-19: an empirical multivariate analysis of sub-Saharan African countries
The COVID-19 pandemic has triggered an unprecedented social and economic crisis. This study aims at investigating the impact of socio-economic indicators on the levels of COVID-19 (confirmed and death cases) in sub-Saharan Africa. The investigation makes use of the readily accessible public data: we obtain COVID-19 data from Johns Hopkins and socio-economic indicators from the World Bank. The socio-economic indicators (independent variables) used in the multilinear regression were GDP per capita, gross national income per capita, life expectancy, population density (people per sq. km of land area), the population aged 65 and above, current health expenditure per capita and total population. The dependent variables used were the COVID-19 confirmed and death cases. Amongst the seven socio-economic indicators, only 4 showed a statistically significant impact on COVID-19 cases: population density, gross national income per capita, population aged 65 and above and total population. The obtained
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2
of 69% and 63% indicated that the socio-economic indicators captured and explained the variation of COVID-19 confirmed cases and COVID-19 death cases, respectively. The startling results obtained in this study were the negative but statistically significant relationship between COVID-19 deaths and population density and the positive and statistically significant relationship between gross national income per capita and COVID-19 cases (both confirmed and deaths). Both these results are at odds with literature investigating these indicators in Europe, China, India and the UK.
Journal Article
Economic Inequality, Immigrants and Selective Solidarity: From Perceived Lack of Opportunity to In-group Favoritism
How does economic inequality affect support for redistribution to native citizens and immigrants? While prior studies have examined the separate effects of inequality and immigration on redistribution preferences, the interaction between inequality and communal identity has been largely overlooked. This article explains that inequality triggers selective solidarity. Individuals exposed to inequality become more supportive of redistribution – but only if the redistribution benefits native-born citizens. Inequality therefore reinforces the already popular opinion that native citizens deserve welfare priority and widens the gap between support for natives and support for immigrants. This study first provides cross-national evidence with survey data linked to contextual socio-economic indicators from advanced industrialized countries. To evaluate causally identified effects, it then presents the results of a survey experiment administered to a nationally representative sample of Italian citizens. The findings imply that economic inequality can increase support for populist radical right parties that advocate discrimination in access to welfare services based on native citizenship.
Journal Article
Using EEA and EUROSTAT data to identify climate risk inequalities: A practical example
The increasingly detailed granularity and completeness of both climate risk data and data generated by EUROSTAT on socioeconomic indicators, facilities and population structure is allowing more comprehensive and integrated assessments of climate risk inequalities across Europe. This presentation will look at the main results and methodological challenges of this line of work at the EEA.
Journal Article
Social Media and Twitter Data Quality for New Social Indicators
Social media represent an excellent opportunity for the construction of timely socio-economic indicators. Despite the many advantages of investigating social media for this purpose, however, there are also relevant statistical and quality issues. Data quality is an especially critical topic. Depending on the characteristics of the social media a researcher is using, the problems that arise related to errors are different. Thus, no one unique quality evaluation framework is suitable. In this paper, the quality of social media data is discussed considering Twitter as the reference social media. An original quality framework for Twitter data is introduced. A reformulation of the traditional quality dimensions is proposed, and the new quality aspects are discussed. The main sources of errors are identified, and examples are provided to show the process of finding evidence of these errors. The conclusion affirms the importance of using a mixed methods approach, which involves incorporating both qualitative and quantitative evaluations to assess data quality. A collection of good practices and proposed indicators for quality evaluation is provided.
Journal Article
An assessment of the correlation between urban green space supply and socio-economic disparities of Tehran districts—Iran
Contact with UGS (urban green spaces) is a critical element for urban quality of life and an essential aspect of environmental justice, so all citizens should be able to access UGS regardless of their social and economic condition. In this regard, several studies have shown a positive correlation between UGS justice with socio-economic status in different contexts. In recent decades, Tehran has also experienced much wider socio-economic inequalities, reflected in its spatial configuration. Therefore, this study explored the possible correlation between the UGS supply and accessibility in the 22 Tehran municipal districts and their socio-economic development level. For this purpose, UGS supply (per capita) and accessibility (areas within 800 m walking distance to UGS) indicators are used to assess the UGS justice in Tehran. The research data are drawn from official spatial and statistical data, analysed using ArcGIS. This quantitative data are converted into map layers to shape a basis for UGS assessment indicators in conjunction with socio-economic status. The findings show an unbalanced distribution of UGS in Tehran. However, the areas with highest socio-economic status are at an optimum level of UGS justice in relation to all 22 districts, but no direct correlation confirms the same results for areas with lower socio-economic status.
Journal Article