scholarly journals The Mediating Roles of GDP on the Relationship Between Income Inequality and Life Expectancy

2021 ◽  
Author(s):  
Chia-Chang Chuang
Keyword(s):  
Income Inequality ◽  
Life Expectancy ◽  
Initial Step ◽  
Mediation Effect ◽  
Predictor Variables ◽  
Outcome Variable ◽  
Kuznets Curve ◽  
Set Up ◽  
The Relationship ◽  
Mediator Variable

This study examined the mediation effect of gross domestic product (GDP) on the relationship between life expectancy and income inequality based on data from 23 Organisation for Economic Co-operation and Development (OECD) countries for 2004 through 2014. To form a theoretical framework, Preston curve and Kuznets curve were employed. The study set up a mediation model with life expectancy as an outcome variable, GDP as a mediator variable, and three variables characterising income inequality as predictor variables: Gini index, income share held by highest 20%, and poverty headcount ratio at US$1.90 a day. The study found that GDP clearly mediates the effects of the predictor variables on life expectancy, although the magnitudes of the effects vary. This study takes an important initial step in exploring the mediation effect of GDP on the relationship between life expectancy and income inequality.

scholarly journals Beyond the income inequality hypothesis and human health: a worldwide exploration

2010 ◽  
Vol 44 (4) ◽  
pp. 695-702 ◽  
Author(s):  
Alvaro J Idrovo ◽  
Myriam Ruiz-Rodríguez ◽  
Abigail P Manzano-Patiño
Keyword(s):  
Social Capital ◽  
Income Inequality ◽  
Life Expectancy ◽  
Path Analysis ◽  
Human Health ◽  
Gini Coefficient ◽  
Predictor Variables ◽  
Political Regime ◽  
Outcome Variable ◽  
Life Expectancy At Birth

OBJECTIVE: To analyze whether the relationship between income inequality and human health is mediated through social capital, and whether political regime determines differences in income inequality and social capital among countries. METHODS: Path analysis of cross sectional ecological data from 110 countries. Life expectancy at birth was the outcome variable, and income inequality (measured by the Gini coefficient), social capital (measured by the Corruption Perceptions Index or generalized trust), and political regime (measured by the Index of Freedom) were the predictor variables. Corruption Perceptions Index (an indirect indicator of social capital) was used to include more developing countries in the analysis. The correlation between Gini coefficient and predictor variables was calculated using Spearman's coefficients. The path analysis was designed to assess the effect of income inequality, social capital proxies and political regime on life expectancy. RESULTS: The path coefficients suggest that income inequality has a greater direct effect on life expectancy at birth than through social capital. Political regime acts on life expectancy at birth through income inequality. CONCLUSIONS: Income inequality and social capital have direct effects on life expectancy at birth. The "class/welfare regime model" can be useful for understanding social and health inequalities between countries, whereas the "income inequality hypothesis" which is only a partial approach is especially useful for analyzing differences within countries.

Study on the Relationship between the Economics and Environment of Puyang City Based on Environmental Kuznets Curve

2013 ◽  
Vol 807-809 ◽  
pp. 773-782
Author(s):  
Qing Song Li ◽  
Kai Kang ◽  
Jia Wei Zhu ◽  
Qing Xiang Meng ◽  
Su Jun Deng
Keyword(s):  
Environmental Kuznets Curve ◽  
Industrial Structure ◽  
Kuznets Curve ◽  
Environmental Index ◽  
Per Capita Gdp ◽  
Sulfur Dioxide Emissions ◽  
Per Capita ◽  
Spss Software ◽  
Set Up ◽  
The Relationship

The study set up the model of per capita GDP and the environmental index based on the Environmental Kuznets Curve (EKC) with the support of SPSS software and the 2003-2011 economics and environment data of Puyang City. And the result shows that the environmental Kuznets Curve (EKC) of industrial wastewater discharge and industrial sulfur dioxide emissions both display inverted U-shape; and just across the turning point, the discharge present downward trend with the increasing of per capita GDP; while the EKC of industrial fumes emissions display positive U-shape, and its emission present upward trend first and then downward with the increasing of per capita GDP. It shows that the environmental problems of Puyang City has partly improved, but has not been fully restrained. The main reasons are unreasonable industrial structure, single dominated industy and relatively low investment on environmental improvement.

scholarly journals Income Inequality and Economic Growth: An Analysis Using a Panel Data

2018 ◽  
Vol 10 (5) ◽  
pp. 242
Author(s):  
Mohamed Bouincha ◽  
Mohamed Karim
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Developed Countries ◽  
Global Model ◽  
Kuznets Curve ◽  
Main Indicator ◽  
Development Indicator ◽  
Long Time ◽  
The Developed Countries ◽  
The Relationship

A long time ago, economic growth was the main indicator of countries’ economic health. However, since the 1970s, the analysis of the relationship between economic growth and other economic phenomena such as inequality has begun to grow (Sundrum, 1974). Much of the literature on the link between economic growth and income inequality is based on Kuznets revolutionary theory. The purpose of our article is to suspect the causality relationship between growth and inequality. To do this, we used data from 189 countries for the period between 1990 and 2015. We estimated a global model and three other of each category of countries in terms of development. In the global model, economic growth is insignificant even if its sign is positive. The same result appears in the developing country model and the moderately developed countries one. However, in the developed countries model, economic growth is negatively and statistically related to inequality. The Kuznets curve is approved in our study only when using human development indicator in the place of growth. Growth explain inequality’s movement in our study only in the model of developed countries and its coefficient is negative.

scholarly journals Intrapreneurial Self-Capital and Connectedness to Nature within Organizations

2019 ◽  
Vol 11 (13) ◽  
pp. 3699 ◽  
Author(s):  
Duradoni ◽  
Di Fabio
Keyword(s):  
Sustainable Development ◽  
Personality Traits ◽  
Personality Trait ◽  
Mediation Analysis ◽  
Outcome Variable ◽  
Mediation Model ◽  
The Sustainable Development ◽  
Connectedness To Nature ◽  
The Relationship ◽  
Mediator Variable

Research exists regarding personality traits in relation to connectedness with nature. However, it is not possible to increase personality through training. As an alternative, intrapreneurial self-capital (ISC) could be a promising core of resources for enhancing the sustainable development of behaviors and practices. Using a sample of 198 workers, this study exploratively analyzed the relationship between the extraversion personality trait, ISC, and connectedness to nature. A mediation model was employed to assess the effects of extraversion on connectedness to nature (outcome variable) through ISC (conceived as an intervening mediator variable). The mediation analysis highlighted that ISC potentially promotes workers’ connectedness to nature within organizations. Thus, implementing dedicated interventions to increase ISC could encourage sustainable development by enhancing workers’ levels of connectedness to nature.

scholarly journals Academic Motivation and Self- Efficacy as Predictors of Academic Performance Among form Three Students in Kitui County, Kenya

2021 ◽  
Vol 9 (06) ◽  
pp. 1732-1755
Author(s):  
Kipngetich Francis Kogei
Keyword(s):  
Gender Differences ◽  
Academic Performance ◽  
Self Efficacy ◽  
Psychological Factors ◽  
Academic Motivation ◽  
Predictor Variables ◽  
Outcome Variable ◽  
Poor Academic Performance ◽  
Ex Post ◽  
The Relationship

Poor academic performance in national examinations in Kenya like in most countries has been an issue of concern. Poor academic performance has been attributed to school environmental factors with individual psychological factors receiving little attention yet this may contribute towards poor students’ academic performance. In addition to this, most of the studies that have explored psychological factors have been done in developed countries hence leaving a gap locally. The purpose of the study was therefore to examine if self-efficacy and motivation predicts academic performance and if so, to what extent. Academic performance was the outcome variable while the predictor variables was motivation and self-efficacy. The objectives of the study were to examine the relationship between motivation and academic performance, establish the relationship between self-efficacy and academic performance, to determine the relative predictive weights of motivation and self-efficacy on academic performance and lastly to test for gender differences in academic motivation and self-efficacy. Self-determination theory by Ryan and Deci and Social Learning Theory by Bandura guided the study. Data was collected through use of questionnaires which also gave students biographical information. The researcher employed ex post facto design and involved 193 study participants. Out of 31 public secondary schools in Kitui County, 25% of the schools were sampled for this study. Stratified random sampling procedure was used to select the study sample, 8 schools were selected to participate in the study, and 24 students were randomly selected from each secondary school. A pilot study was carried out on a random sample of 40 students from a public school which was not part of the study sample but of similar characteristics as sampled schools. The academic motivation and academic self-efficacy scales were adapted to measure academic motivation and self-efficacy. Students’ academic performance was measured by use of examination records which was obtained from the schools. Pearson product moment correlation coefficient was used to test relationships between variables while multiple regression analysis tests were used to obtain the relative predictive weights of independent variable on outcome variable and t-test for predictor variables for gender. Data was analyzed by use of descriptive and quantitative statistics. This research may be of importance to the educators as they may understand how these psychological predictors may impact on their students. Secondly, the teachers may be able to gauge their students’ motivation and self-efficacy which may help them in setting realistic targets for performance. Understanding motivation and self-efficacy may enable schools reach operational efficiency as teachers will be in a position to address students according to their study requirements. In view of the findings, it can be inferred that academic motivation, self-efficacy and academic performance are statistically dependent as the p-value in the ANOVA model was .000 which is less than 0.05, the alpha level of significance for academic and self-efficacy and academic performance (R (192) =0.367.   The study recommended that all stakeholders in education should work together in creating conducive environments for development of academic motivation and self-efficacy, among students and appropriate intervention programmes should be developed in schools, particularly targeting girls in order to help reduce the gender differences which were found to exist with regard to students’ academic motivation and self-efficacy learning.  

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.

Student Attitudes toward Sports and Fitness Activities after Graduation

2006 ◽  
Vol 30 (2) ◽  
pp. 87-99 ◽  
Author(s):  
Scott Forrester ◽  
Christopher Arterberry ◽  
Bob Barcelona
Keyword(s):  
Physical Activity ◽  
Physical Health ◽  
Well Being ◽  
Colleges And Universities ◽  
Predictor Variables ◽  
Outcome Variable ◽  
Recreational Sports ◽  
Sports Involvement ◽  
The Relationship ◽  
Health And Well Being

Colleges and universities have generally been seen as environments where physical activity can be facilitated and promoted. Most colleges and universities offer programs and facilities that promote participation in recreational sports, physical activity, and overall physical health. This study was designed to examine the relationship between recreational sports involvement, satisfaction, interpersonal and group, physical health and well-being, and academic benefits of involvement and the importance of sports and fitness activities after graduation. Surveys were randomly distributed to students ( N = 718) participating in a variety of recreational sports programs. Multiple regression was used to analyze the relationship between the predictor variables (involvement, satisfaction, and benefits of involvement) and the outcome variable (importance of sports and fitness activities after graduation). Only physical health and well-being benefits and the combined measure of recreational sports involvement were significant predictor variables in the regression equation. Understanding the impact of campus programs devoted to influencing positive health behavior, including physical activity, is a critical component in understanding the benefits of recreational sports involvement. Suggestions for future research are made in the context of the limitations of the study.

scholarly journals Poverty, income inequality, and energy consumption based on EKC hypothesis: Evidence from developed and developing countries

2021 ◽  
Author(s):  
Yusuf Ekrem Akbas ◽  
Fuat Lebe
Keyword(s):  
Developing Countries ◽  
Energy Consumption ◽  
Income Inequality ◽  
Unit Root Test ◽  
Developed Countries ◽  
Primary Objective ◽  
Seemingly Unrelated Regression ◽  
Kuznets Curve ◽  
Ekc Hypothesis ◽  
The Relationship

Abstract The primary objective of this study is to examine the relationship between carbon dioxide (CO2) emissions, energy consumption, income inequality, and poverty within the framework of the Environmental Kuznets Curve (EKC) in 14 developed and ten developing countries over the period 2000–2018. We employed the Fourier unit root test and Dynamic Seemingly Unrelated Regression (DSUR) estimator to analyze the relationship between these variables. The results show that in developing countries, income inequality, poverty, and energy consumption positively affect CO2 emission. In contrast, in developed countries, there is no significant relationship between these variables. Moreover, we found out that the EKC hypothesis, which suggests an inverted U-shaped relationship between per capita income and CO2 emissions, is valid in developed countries and invalid in developing countries. We determined that the turning points obtained from regression analysis are outside of the sample period in five developing countries (Argentina, Armenia, Kazakhstan, Panama, and Uruguay). These results show that income inequality and poverty can indirectly affect environmental quality by energy consumption in developing countries.

scholarly journals The Impact of Income Inequality on Environmental Quality: A Sectoral-Level Analysis

2021 ◽  
Author(s):  
Sedat Alataş ◽  
Tuğba Akın
Keyword(s):  
Income Inequality ◽  
Carbon Emissions ◽  
Environmental Kuznets Curve ◽  
Kuznets Curve ◽  
Cross Sectional ◽  
Cointegration Tests ◽  
Cross Sectional Dependence ◽  
The Impact ◽  
The Relationship ◽  
Level Analysis

Abstract There is a growing literature on the relationship between income inequality and emissions. However, these studies ignore the sectoral level differences in carbon emissions. We argue that the environmental effect of inequality might vary at the sectoral level. Our main purpose is to contribute to this growing literature on the inequality-emissions nexus by considering sectoral-level differences. For that purpose, we focus on five different sectors: power industry, buildings, transport, other industrial combustion, and other sectors. To specify our model, we augment the environmental Kuznets curve framework with income inequality by controlling the effect of globalization and urbanization. Our country sample consists of 28 OECD economies for the period between 1990 and 2018. Methodologically, we apply the second-generation panel unit root, cointegration tests, and estimators, which produce robust results against the cross-sectional dependence. Our findings reveal that not only income but also income inequality is a crucial factor in explaining changes in sectoral emissions. While rising income inequality increases carbon emissions from the power and building sectors, this finding turns out to be negative for the transport, other industrial combustion, and other sectors. Our results suggest that policies aimed at reducing carbon emissions should be designed at the sectoral level.

Income Inequality, Economic Growth and Carbon Dioxide Emissions Nexus: Empirical Evidence from Ethiopia

2021 ◽  
Author(s):  
Shemelis Kebede Hundie
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Unit Root ◽  
Carbon Dioxide Emissions ◽  
Unit Root Test ◽  
Policy Implications ◽  
Kuznets Curve ◽  
Low Carbon ◽  
Long Run ◽  
The Relationship

Abstract The relationship between income inequality, economic growth and CO2 emissions is ambiguous both theoretically and empirically. Hence, this study examines the link between income inequality and CO2 emissions in Ethiopia for time span covering 1979–2014 using ARDL bounds test and DOLS approach to cointegration. The Zivot-Andrews unit root test and Clemente-Montanes-Reyes unit root test reveal that some of the variables under consideration are stationary at level while others become stationary after first differencing. Both ARDL and DOLS approaches confirm that there is a long-run relationship among the series during the study period. The long-run empirical results show that a 1% increase in economic growth accounts for a 1.05% increase in CO2 emissions while a 1% increase in economic growth squared reduces CO2 emissions by 0.11%. The U-test result reveals that the relationship between CO2 emissions and economic growth confirms existence of the Environmental Kuznets Curve hypothesis. The effect of income inequality on CO2 is not robust to alternative estimation techniques; it is statistically insignificant under the ARDL estimation, but DOLS estimates show that a 1% increase in income inequality increases CO2 emissions by 0.21% in the long-run during the study period. In the long-run a 1% rise in urbanization, population size, energy intensity and industrialization each positively contribute to environmental degradation in Ethiopia by 0.38%, 0.22%, 0.07% and 0.11% respectively. Results from the Toda-Yamamoto Granger causality show a bidirectional causal relationship between CO2 emissions and all other variables except economic growth. CO2 emissions granger causes economic growth with no feedback effect. Results suggested important policy implications in the light of achieving its 2030 targets of low-carbon economy for Ethiopia.

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