scholarly journals THE IMPACT OF ECONOMIC, DEMOGRAPHIC, AND INFRASTRUCTURAL FACTORS ON INCOME INEQUALITY AND POVERTY IN RUSSIA

2020 ◽  
Vol 1 ◽  
pp. 70-75
Author(s):  
Rogneda Groznykh ◽  
Elena Ignatieva ◽  
Oleg Mariev ◽  
Alla Serkova
Keyword(s):  
Income Inequality ◽  
Life Expectancy ◽  
University Graduates ◽  
Russian Regions ◽  
Average Life Expectancy ◽  
Explanatory Variables ◽  
Prime Objective ◽  
Relative Change ◽  
The Impact ◽  
The Relationship

The prime objective of the research is to examine the factors influencing both the alteration in the income distribution and the relative change in the incidence of poverty in the regions of Russia. The list of the identified factors/determinants includes economic, demographic, and infrastructural factors. An econometric model, indicating the relationship between the explanatory variables with both the income inequality index and the relative poverty proportions in Russian regions has been provided in this article. The determinants that cause variations in the income inequality and poverty of a country such as social mobility, average life expectancy of urban women, life expectancy of rural men, the number of university graduates, etc. have also been specified in this study. The analysis was executed based on a dataset of 72 Russian regions for the period between 2012-2017.

Retrospective analysis of the resilience of Russian regions as socio-economic systems

2019 ◽  
pp. 46-64 ◽  
Author(s):  
Vladimir V. Klimanov ◽  
Sofiya М. Kazakova ◽  
Anna A. Mikhaylova
Keyword(s):  
Panel Data ◽  
Economic Systems ◽  
Financial Indicators ◽  
Russian Regions ◽  
Integral Index ◽  
Negative Effects ◽  
Economic Resilience ◽  
Correlation Dependence ◽  
The Impact ◽  
The Relationship

The article examines the impact of various socio-economic and financial indicators on the resilience of Russian regions. For each region, the integral index of resilience is calculated, and its correlation dependence with the selected indicators is revealed. The study confirms the relationship between fiscal resilience and socio-economic resilience of the regions. The analysis of panel data for 75 regions from 2007 to 2016 shows that there are significant differences in the dynamics of indicators in different periods. In particular, the degree of exposure to the negative effects of the crises of 2008—2009 and 2014—2015 in non-resilient regions is higher than in resilient ones.

scholarly journals Inequality, policy polarization and the income gap in turnout

2021 ◽  
pp. 135406882110119
Author(s):  
Matthew Polacko
Keyword(s):  
Income Inequality ◽  
Low Income ◽  
Party Systems ◽  
Individual Level ◽  
Income Gap ◽  
Income Groups ◽  
Logistic Regressions ◽  
Negative Impacts ◽  
The Impact ◽  
The Relationship

Previous research into the relationship between income inequality and turnout inequality has produced mixed results, as consensus is lacking whether inequality reduces turnout for all income groups, low-income earners, or no one. Therefore, this paper builds on this literature by introducing supply-side logic, through the first individual-level test of the impact that income inequality (moderated by policy manifesto positions) has on turnout. It does so through multilevel logistic regressions utilizing mixed effects, on a sample of 30 advanced democracies in 102 elections from 1996 to 2016. It finds that higher levels of income inequality significantly reduce turnout and widen the turnout gap between rich and poor. However, it also finds that when party systems are more polarized, low-income earners are mobilized the greatest extent coupled with higher inequality, resulting in a significantly reduced income gap in turnout. The findings magnify the negative impacts income inequality can exert on political behavior and contribute to the study of policy offerings as a key moderating mechanism in the relationship.

scholarly journals Fundamental factors influencing returns of shares listed on the Johannesburg Stock Exchange in South Africa

2017 ◽  
Vol 9 (2) ◽  
pp. 426-435
Author(s):  
Marise Vermeulen
Keyword(s):  
Stock Exchange ◽  
Dividend Payout ◽  
Return On Equity ◽  
Explanatory Variables ◽  
Johannesburg Stock Exchange ◽  
Earnings Per Share ◽  
Asset Growth ◽  
Book To Market Ratio ◽  
The Impact ◽  
The Relationship

This study investigated the relationship between share returns and nine variables that had been proven to influence returns in previous research, using a multiple regression analysis. These variables are size, leverage, book-to-market ratio, earnings yield, dividend payout, earnings growth, return on equity, earnings per share and asset growth. The impact of some of the variables on share returns proved to be insignificant, and some collinearity was identified between some of the variables. However, three significant variables were identified and the final regression model included the book-to-market ratio, dividend payout and leverage as the explanatory variables.

scholarly journals Comments on "Researcher bias: The use of machine learning in software defect prediction"

2015 ◽  
Author(s):  
Chakkrit Tantithamthavorn ◽  
Shane McIntosh ◽  
Ahmed E Hassan ◽  
Kenichi Matsumoto
Keyword(s):  
Prediction Model ◽  
Strong Association ◽  
Model Performance ◽  
Strong Relationship ◽  
Defect Prediction ◽  
Explanatory Variables ◽  
Software Defect ◽  
The Impact ◽  
The Relationship ◽  
Selection Of

Shepperd et al. (2014) find that the reported performance of a defect prediction model shares a strong relationship with the group of researchers who construct the models. In this paper, we perform an alternative investigation of Shepperd et al. (2014)’s data. We observe that (a) researcher group shares a strong association with the dataset and metric families that are used to build a model; (b) the strong association among the explanatory variables introduces a large amount of interference when interpreting the impact of the researcher group on model performance; and (c) after mitigating the interference, we find that the researcher group has a smaller impact than the metric family. These observations lead us to conclude that the relationship between the researcher group and the performance of a defect prediction model may have more to do with the tendency of researchers to reuse experimental components (e.g., datasets and metrics). We recommend that researchers experiment with a broader selection of datasets and metrics to combat potential bias in their results.

scholarly journals Trends in Avoidable Mortality in Lithuania During 2001–2008 and Their Impact on Life Expectancy

Medicina ◽  
2011 ◽  
Vol 47 (9) ◽  
pp. 504 ◽  
Author(s):  
Vilius Grabauskas ◽  
Aldona Gaižauskienė ◽  
Skirmantė Sauliūnė ◽  
Rasa Mišeikytė
Keyword(s):  
Life Expectancy ◽  
Mortality Data ◽  
Avoidable Mortality ◽  
Average Life Expectancy ◽  
Mortality Trends ◽  
Annual Percent Change ◽  
Increasing Trend ◽  
Causes Of Deaths ◽  
Changes Over Time ◽  
The Impact

The process of the restructuring of health care system in Lithuania demonstrates the need to continue the monitoring of changes in avoidable mortality. Objective. To assess the level of avoidable mortality as well as its changes over time in Lithuania during 2001–2008 and to define the impact of avoidable mortality on life expectancy. Material and Methods. The mortality data were taken from the Lithuanian Department of Statistics. Twelve avoidable causes of deaths (treatable and preventable) were analyzed. Mortality trends were assessed by computing the average annual percent change (AAPC). The shortening of average life expectancy was computed from survival tables. Results. During the period 2001–2008, the avoidable mortality was increasing more significantly (AAPC 3.0%, P<0.05) than the overall mortality (AAPC 1.7%, P<0.05) in the population aged 5–64 years. The increasing trend was mainly determined by mortality from preventable diseases (AAPC 4.6%, P<0.05). The avoidable causes of death reduced the life expectancy by 1.77 years (preventable by 1.12 and treatable by 0.63 years). Diversity in trends in mortality of different avoidable causes was disclosed. A declining trend in mortality caused by chronic rheumatic heart disease and lung cancer was observed for males (AAPC –22.6% and –2.1%, respectively; P<0.05). However, the mortality caused by liver cirrhosis was increasing for both genders (AAPC 16.1% for males and 17.6% for females, P<0.01) and that caused by tuberculosis – only for females (AAPC 7.8%, P<0.05). Conclusions. An increasing trend in avoidable mortality was observed. Deaths caused by the diseases that could have been prevented had the greatest impact on the increasing mortality and decreasing life expectancy.

The great reanimation

2020 ◽  
Vol 41 (6) ◽  
pp. 81-84
Author(s):  
Peter Buell Hirsch
Keyword(s):  
Income Inequality ◽  
Design Methodology ◽  
Labor Movements ◽  
Tipping Points ◽  
Political Will ◽  
Content Type ◽  
Corporate Behavior ◽  
Emerging Trends ◽  
The Impact ◽  
The Relationship

Purpose The purpose of this paper is to highlight the ways in which long running secular trends and the COVID-19 pandemic have combined to re-energize labor movements and pushed political thinking to the left. Design/methodology/approach A review of emerging trends in public opinion and labor action to identify some critical tipping points. Findings There is a critical shift unfolding in which government intervention to stem income inequality is becoming politically acceptable. Originality/value To the best of the author’s knowledge, there have been few, if any comparable discussions of the relationship between the impact of the COVID-19 pandemic and the political will to stem income inequality and the implications for corporate behavior.

The relationship between income inequality and inequality in schooling

2010 ◽  
Vol 8 (1) ◽  
pp. 5-20 ◽  
Author(s):  
Susan E. Mayer
Keyword(s):  
United States ◽  
Economic Theory ◽  
Income Inequality ◽  
Educational Attainment ◽  
The United States ◽  
Education Policies ◽  
Empirical Estimates ◽  
Government Education ◽  
The Impact ◽  
The Relationship

Children of affluent parents get more schooling than children of poor parents, which seems to imply that reducing income inequality would reduce inequality in schooling. Similarly, one of the best predictors of an individual’s income is his educational attainment, which seems to imply that reducing inequality in schooling will reduce income inequality. Economic theory predicts that all else being equal an increase in income inequality will lead to an increase in inequality of educational attainment. Empirical estimates suggest that when income inequality increased in the United States so did inequality in educational attainment. But changes in government education policies reduced the impact of the increase in income inequality on inequality in schooling. Economic theory also predicts that all else being equal an increase in inequality of educational attainment will result in greater inequality of earnings. But unequal schooling does not account for much of the variance in income, so equalizing schooling will do little to reduce the overall variation in economic success among adults.

Globalization and women’s and girls’ health in 192 UN-member countries

2016 ◽  
Vol 43 (7) ◽  
pp. 692-721 ◽  
Author(s):  
Deniz Gevrek ◽  
Karen Middleton
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Life Expectancy ◽  
Health Outcomes ◽  
Fixed Effects ◽  
Content Type ◽  
Life Expectancy At Birth ◽  
Adolescent Fertility ◽  
The Impact ◽  
The Relationship

Purpose – The purpose of this paper is to explore the relationship between the ratification of the United Nations’ (UN’s) Convention on the Elimination of All Forms of Discrimination against Women (CEDAW) and women’s and girls’ health outcomes using a unique longitudinal data set of 192 UN-member countries that encompasses the years from 1980 to 2011. Design/methodology/approach – The authors focus on the impact of CEDAW ratification, number of reports submitted after ratification, years passed since ratification, and the dynamic impact of CEDAW ratification by utilizing ordinary least squares (OLS) and panel fixed effects methods. The study investigates the following women’s and girls’ health outcomes: total fertility rate, adolescent fertility rate, infant mortality rate, maternal mortality ratio, neonatal mortality rate, female life expectancy at birth (FLEB), and female to male life expectancy at birth. Findings – The OLS and panel country and year fixed effects models provide evidence that the impact of CEDAW ratification on women’s and girls’ health outcomes varies by global regions. While the authors find no significant gains in health outcomes in European and North-American countries, the countries in the Northern Africa, sub-Saharan Africa, Southern Africa, Caribbean and Central America, South America, Middle-East, Eastern Asia, and Oceania regions experienced the biggest gains from CEDAW ratification, exhibiting reductions in total fertility, adolescent fertility, infant mortality, maternal mortality, and neonatal mortality while also showing improvements in FLEB. The results provide evidence that both early commitment to CEDAW as measured by the total number of years of engagement after the UN’s 1980 ratification and the timely submission of mandatory CEDAW reports have positive impacts on women’ and girls’ health outcomes. Several sensitivity tests confirm the robustness of main findings. Originality/value – This study is the first comprehensive attempt to explore the multifaceted relationships between CEDAW ratification and female health outcomes. The study significantly expands on the methods of earlier research and presents novel methods and findings on the relationship between CEDAW ratification and women’s health outcomes. The findings suggest that the impact of CEDAW ratification significantly depends on the country’s region. Furthermore, stronger engagement with CEDAW (as indicated by the total number of years following country ratification) and the submission of the required CEDAW reports (as outlined in the Convention’s guidelines) have positive impacts on women’s and girls’ health outcomes.

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