The Impact of Income Inequality on Health Levels: Empirical Evidence from China:2002-2016

Income inequality had been one of the important manifestations of social inequality, which can affect the health level by affecting savings, health care and living standards. Existing researches about the relationship between income inequality and health ignored the comprehensive characteristic of health concept, and did not consider the intrinsic relationship between health and income inequality. This paper attempts to re-shed light on the relationship. Firstly, this paper constructs a new health level evaluation system from three aspects: health basis, health environment and behavior, and health security. By means of the combination evaluation method, the health levels can be obtained. Then, considering the interaction between health and income inequality, a simultaneous equation group model is constructed to empirically test the relationship between income inequality and health levels in China. The results reveal that health level is negatively correlated with income inequality. Reducing income inequality plays an important role in improving health levels in China.

Renewable energy, inequality and environmental degradation

The connection between income inequality and environmental degradation remains a topic of persistent debate, marked by inconsistencies in both theoretical and empirical studies. This study offers a novel contribution to this discourse by investigating the simultaneous influences of renewable energy and income inequality on environmental degradation. Utilizing data from 158 nations from 2000 to 2017, our research reveals a crucial moderating role of renewable energy in the nexus between income inequality and environmental degradation. The study's key finding is that the impact of income inequality on environmental degradation is contingent on the level of renewable energy development. In scenarios with limited renewable energy, income equality leads to increased environmental degradation. However, when renewable energy is more developed, income equality contributes to reducing environmental degradation. This novel insight suggests that renewable energy development can mitigate the trade-off between pursuing income equality and environmental sustainability, thereby enabling their simultaneous achievement. The research also highlights that a more equitable income distribution enhances the environmental benefits of renewable energy. Further analysis demonstrates the significant role played by household consumption behavior and social norms in shaping this phenomenon. By adding these new dimensions to the existing literature, the study significantly enriches the understanding of the complex interplay among economic factors, renewable energy, and environmental sustainability.

Income inequality effect of government investment behavior: Comparisons based on different investment areas, different regions and different groups in China

The research focuses on and analyses the effect of government investment on income distribution by evaluating the effects of public spending on income variation in various fields, in various regions, and at different income levels in the Chinese economy. The study found that government investment in different fields substantially decreases income inequality. Increasing housing security, medical, agriculture, forestry and other expenditures has a significant impact on improving the income inequality between rural and urban inhabitants; the impact of government investment in the western, central, and eastern regions on the reduction of income variation is decreasing successively, with emphasis on government investment in the western and central regions. The effects of government investment on the decline of the income distribution are twofold: first, it influences the amount of low- and middle-income groups; second, it has an impact on the reduction of high-income organizations; however, the impact on the income equality of high-income and low-income organizations is not considerable. In investment, the study demonstrates that income inequality can be reduced without negatively affecting the financial status of higher-income individuals. It is significant to value providing adequate housing security for low-income populations as a critical policy implication. This study, utilizing novel indicators, contributes to the current body of research on the impact of fiscal policy in addressing income inequality in China.

Gender differences in the relationship between income inequality and health in China: Evidence from the China Health and Nutrition Survey data

This study examines gender differences in the relationship between income inequality and health in China. Multilevel regression models were used to analyse data from the most recent five waves (2004-2015) across 12 provinces in the China Health and Nutrition Survey (CHNS). The findings remain robust when considering alternative measures of health outcomes and income inequality. Men showed greater sensitivity to income inequality in terms of adverse health outcomes. When individuals experienced the same level of changes in income inequality, men had a higher risk of reporting poor health status, higher BMI, higher systolic blood pressure, and a higher risk of smoking cigarettes and drinking alcohol than women. Despite missing data and causal inference challenges, this study highlights gender differences in the relationship between income inequality and health in China, potentially attributed to cultural gender norms. Double standards regarding weight and health-compromising behaviours based on gender roles and stereotypes are more intensive in China, particularly in areas with higher income inequality. One policy implication of this study is that reducing income inequality could enhance individual health outcomes, with a more notable impact on men's health compared to women's.

Neighborhood-level economic characteristics and depression and PTSD symptoms among Houstonians who have experienced Hurricane Harvey and COVID-19

Little is known about how neighborhood economic characteristics relate to risk of depression and Posttraumatic Stress Disorder (PTSD) in the context of multiple disasters. We sampled 88 super neighborhoods in Houston, Texas and surveyed 872 residents who were living in Houston during Hurricane Harvey and COVID-19 and lived in the same residence since Hurricane Harvey, about their demographics and symptoms of depression and PTSD. Using data from the American Community Survey, we estimated neighborhood-level unemployment, median income, and income inequality (i.e., Gini coefficient). We investigated whether these underlying neighborhood socioeconomic factors were associated with the mental health consequences of mass traumatic events. We examined associations between neighborhood-level constructs and individual-level depression and PTSD, using multilevel linear models. Partially adjusted multilevel models showed that lower neighborhood median income was associated with higher symptom scores of PTSD, while greater neighborhood income inequality was associated with higher symptom scores of depression and PTSD. However, fully adjusted models showed that these associations are better accounted for by event-specific stressors and traumas. These findings suggest that in the context of multiple large scale traumatic events, neighborhood socioeconomic context may structure individual-level exposure to stressful and traumatic events.

Income Inequality and the Odds of Online Gambling Among a Large Sample of Adolescents in Canada

Consistent evidence points to the detrimental effects of income inequality on population health. Income inequality may be associated with online gambling, which is of concern since gambling is a risk factor for adverse mental health conditions, such as depression and suicide ideation. Thus, the overall objective of this study is to study the role of income inequality on the odds of participating in online gambling. Data from 74,501 students attending 136 schools participating in the 2018/2019 Cannabis, Obesity, Mental health, Physical activity, Alcohol, Smoking, and Sedentary behaviour (COMPASS) survey were used. The Gini coefficient was calculated based on school census divisions (CD) using the Canada 2016 Census linked with student data. We used multilevel modeling to explore the association between income inequality and self-reported participation in online gambling in the last 30 days, while controlling for individual- and area-level characteristics. We examined whether mental health (depressive and anxiety symptoms, psychosocial wellbeing), school connectedness, and access to mental health programs mediate this relationship. Adjusted analysis indicated that a standardized deviation (SD) unit increase in Gini coefficient (OR = 1.17, 95% CI 1.05, 1.30) was associated with increased odds of participating in online gambling. When stratified by gender, the association was significant only among males (OR = 1.12, 95% CI 1.03, 1.22). The relationship between higher income inequality and greater odds for online gambling may be mediated by depressive and anxiety symptoms, psychosocial well-being, and school connectedness. Evidence points to further health consequences, such as online gambling participation, stemming from exposure to income inequality.

The impact of technological innovations on the environmental Kuznets curve: evidence from EU-27

The EKC hypothesis expresses the inverted U-shaped relationship between per capita income and environmental quality. In the literature, the role of technological innovations and income inequality on pollution is a relatively recent discussion in the studies testing the EKC hypothesis. The aim of this paper is to investigate the impact of technological innovations, income inequality, exports, urbanization, and growth on CO2 emissions in EU-27. In addition, while investigating this relationship, exports and urbanization are also considered and panel vector autoregression (PVAR) analysis is applied for the 2005-2019 period. According to the coefficient estimation results, while income inequality, exports, and urbanization increase pollution, technological innovations contribute to environmental quality. Also, the results demonstrated that the EKC hypothesis is invalid in these countries and there is a U-shaped relationship between growth and emissions. The causality test results revealed the presence of unidirectional causality running from all explanatory variables to CO2 emissions. Moreover, impulse-response graphs demonstrated that the reply of emissions to the shocks in the explanatory variables is similar to the long-run coefficient results. In conclusion, all available empirical evidence for this relationship highlights that income inequality and technological innovations should be considered in policy-making processes to ensure environmental quality in EU-27 countries.

Income inequality and deaths of despair risk in Canada, identifying possible mechanisms

BACKGROUND

Declines in life expectancy in developed countries have been attributed to increases in drug-related overdose, suicide, and liver cirrhosis, collectively referred to as deaths of despair. Income inequality is proposed to be partly responsible for increases in deaths of despair rates. This study investigated the associations between income inequality, deaths of despair risk in Canada, and potential mechanisms (stress, social cohesion, and access to health services).

METHODS

We obtained data from the Canadian Community Health Survey and the Canadian Vital Statistics Database from 2007 to 2017. A total of 504,825 Canadians were included in the analyses. We used multilevel survival analyses, as measured by the Gini coefficient, to examine the relationships between income inequality and mortality attributed to drug overdose, suicide, death of despair, and all-cause. We then used multilevel path analyses to investigate whether each mediator (stress, social cohesion, and access to mental health professionals), which were investigated using separate mediation models, influenced the relationship between income inequality and drug overdose, suicide, deaths of despair, and all-cause death.

RESULTS

Adjusted multilevel survival analyses demonstrated significant relationships between a one-SD increase in Gini coefficient was associated with an increased hazard for drug overdose (HRadj. = 1.28; 95 CI = 1.05, 1.55), suicide (HRadj. = 1.24; 95 CI = 1.06, 1.46), deaths of despair (HRadj. = 1.26; 95 CI = 1.12, 1.40), and all-cause death (HRadj. = 1.04; 95 CI = 1.02, 1.07). Adjusted path analyses indicated that stress, social cohesion, and access to mental health professionals significantly mediated the association between income inequality and mortality outcomes.

CONCLUSION

Income inequality is associated with deaths of despair and this relationship is mediated by stress, social cohesion, and access to mental health professionals. Findings should be applied to develop programs to address income inequality in Canada.

Impact of digitization on carbon productivity: an empirical analysis of 136 countries

Enhancing carbon productivity (CP) is key to achieving carbon reduction goals while maintaining economic growth. Digital technology plays a significant role in improving CP. Based on panel data from 136 countries worldwide from 2000 to 2020, this study empirically examines the impact of digitalization on CP and its mechanisms using fixed-effects and mediation models. The conclusions are as follows: (1) Overall, digitalization significantly enhances CP. (2) In terms of the mechanism, digitalization primarily improves CP through technological innovation and mitigating income inequality. (3) In terms of the quantile regression results, as the quantile level of CP increases, the promoting effect of digitalization on CP gradually strengthens. (4) From the perspective of heterogeneity among regions, income levels and human capital levels, digitalization has the greatest promotion effect on carbon productivity in European countries, high-income countries and high human capital countries. This study provides a reference for policymakers worldwide to use digital technology in achieving carbon emission reduction targets.

Access to automated external defibrillators and first responders: Associations with socioeconomic factors and income inequality at small spatial scales

Aim

The 2021 European Resuscitation Council (ERC) guidelines recommend two automated external defibrillators (AEDs)/km2 and at least 10 first responders/km2. We examined 1) access to AEDs and volunteer first responders in line with these guidelines and 2) its associations with socioeconomic factors and income inequality, focusing on small spatial scales.

Method

We considered data on 776 AEDs in February 2022 and 1,173 out-of-hospital cardiac arrests (OHCAs) including 713 OHCA with app-alerted volunteer first responders from February to September 2022 in Berlin. We fit multilevel models to analyse AED area coverage and Poisson models to examine first responder availability across 12 districts and 536 neighbourhoods.

Results

Median AED area coverage according to the 2021 ERC guidelines was 43.1% (interquartile range (IQR) 2.3-87.2) at the neighbourhood level and median number of available first responders per OHCA case was one (IQR 0.0-1.0). AED area coverage showed a positive association with average income tax per capita, with better coverage in the highest compared to the lowest quartile neighbourhoods (coefficient: 0.13, 95% confidence interval (CI): 0.01-0.25). First responder availability was not associated with income tax. AED area coverage and first responder availability were positively associated with income inequality, with better coverage (coefficient: 0.13, 95% CI: 0.04-0.23) and availability (rate ratio: 1.31, 95% CI: 1.03-1.67) in quartiles of highest as compared to lowest inequality.

Conclusion

Access to resuscitation resources is neither equitable nor in accordance with the 2021 ERC guidelines. Ensuring better access necessitates understanding of socioeconomic factors and income inequality at small spatial scales.

New approach to measuring income inequality

We show that the conventional income inequality indexes assess income inequality incorrectly because of three problems. The unequally distributed (UD) income-based approach solves the problems, decomposes income inequality into two kinds of departure from equality, and provides two indexes. The comprehensive assessment of income inequality requires the integration of two kinds of departure. This paper proposes the relative UD (RUD) income-based approach. The RUD income-based approach combines the cumulative distribution function and quantile function of the RUD income and produces a new index integrating two kinds of departure. We investigate the properties of the new index and demonstrate its applicability through example income distributions.

Socioeconomic inequalities in adolescent mental health in the Nordic countries in the 2000s - A study using cross-sectional data from the Health Behaviour in School-aged Children study

BACKGROUND

Adolescents in Sweden experience more mental health problems and lower mental well-being than adolescents in other Nordic countries. According to the literature, one possible explanation may be differences in income inequality. The at-risk-of-poverty rate varies significantly across the Nordic countries, and the highest rate is found in Sweden. The aims of the study were to examine socioeconomic inequalities in subjective health complaints and life satisfaction among adolescents in the Nordic countries during 2002 - 2018 and to explore whether subjective health complaints and life satisfaction were related to income inequality in terms of the at-risk-of-poverty rate at the country level.

METHODS

Data regarding 15-year-olds from the Health Behaviour in School-aged Children study from five survey rounds (2002 - 2018) were used (n = 41,148). The HBSC Symptoms Checklist and Cantril's ladder were used as measures of subjective health complaints and life satisfaction, respectively. The Family Affluence Scale, the Perceived Family Wealth item and the at-risk-of-poverty rate in each country were used as measures of individual-level socioeconomic conditions and country-level income inequality. Statistical methods involved ANOVA, multiple linear regressions and multilevel regression analyses.

RESULTS

Absolute and relative socioeconomic inequalities in both subjective health complaints and life satisfaction were found in all countries. Sweden showed average socioeconomic inequalities, Iceland the largest and Denmark the smallest. Country-level income inequality in terms of the at-risk-of-poverty rate was associated with a higher prevalence of subjective health complaints and lower levels of life satisfaction in all countries.

CONCLUSION

Socioeconomic inequalities in adolescent mental health and well-being persisted in Nordic countries in the 2000s. Increasing income inequality may have contributed to higher levels of SHC and lower LS in Sweden compared to the other Nordic countries. Policies improving families' socioeconomic conditions and reducing income inequality at the country level are needed to improve and reduce inequalities in mental health and well-being among adolescents.

Globalization of production, manufacturing employment, and income inequality in developing nations

Theories of income distribution in developing nations suggest contrasting expectations regarding how employment industrialization affects income inequality. However, past studies have not considered how the globalization of production shapes the relationship between manufacturing share of employment and income inequality in developing countries. Relatedly, social scientists argue that the globalization of production has exacerbated inequality, but past cross-national research focused on the Global South has yielded inconsistent findings regarding the trade-inequality link. In this article, I draw on the political economy literature focused on the distributional effects of global value chains (GVCs) in the developing world and argue that the rise of globalized production in recent decades has undermined the egalitarian characteristics of the manufacturing sector. While the sector was characterized by higher wages for low-skilled workers and a compressed wage distribution, I argue that rising competition, declining bargaining power of workers, and skill-biased industrial upgrading associated with GVCs has stretched wage distributions and heightened the skill premium in the manufacturing sector. Empirical analyses of cross-national panel data from broad samples of developing nations between 1970 and 2014 suggest that global integration has diminished the equalizing effect of manufacturing employment. I conclude by discussing the prospects for inclusive development in this era of globalization as well as the theoretical and policy implications of these findings.

Does local income and wealth inequality affect mortality? A register-based fixed effects study of 58 million person-years

Aim: The Income Inequality Hypothesis asserts that income inequality causes negative health burdens within wealthy nations. We aimed to test the hypothesis in Norway, examining the relationship between both income and wealth inequality, net of individual economic resources, and individual all-cause mortality. To this day, little is known about the association between wealth inequality and mortality. In Norway, wealth is far more unequally distributed than income and can be a more prevalent indicator of long-term financial security. Methods: We estimated discrete-time event history models from Norwegian register data, covering all Norwegian-born men and women aged 25-84 years during the period 1993-2013. We include fixed effects at the municipal level, adjusting for time-invariant characteristics in the local area. Our data contain approximately 58.5 million person-year observations after sample restrictions. Results: Overall, increased income and wealth inequality (measured using Gini coefficients of individuals' pensionable income and net worth) is not associated with higher mortality risk in Norway. With a one percentage point increase in income inequality, odds ratio (OR) for mortality was estimated at 0.998 (95% confidence interval (CI) 0.996-1.001) for men and 1.002 (95% CI 0.999-1.006) for women. Corresponding OR from increased wealth inequality was 0.998 (95% CI 0.997-1.000) for men and 0.999 (95% CI 0.998-1.001) for women. Conclusions: Our results raise further doubts about the existence of a contextual effect of economic inequality on health, at least in a Nordic setting. Extensive health policies, relatively generous benefits and high levels of trust could potentially function as a buffer against negative health consequences of increased economic inequality in Norway.

How do energy consumption, globalization, and income inequality affect environmental quality across growth regimes?

This paper investigates the impacts of renewable and nonrenewable energy consumption, income inequality, and globalization on the ecological footprints of 49 countries for the period of 1995-2018. Panel cointegration test reveals a long-run relationship between the variables. Long-run parameter estimates derived from AMG and CCEMG, increasing income and nonrenewable energy consumption, have a significant positive impact on the ecological footprint, while countries that consume more renewable energy have seen an improvement in the quality of the environment. Conversely, neither income inequality nor globalization has a significant effect on national EFs. Evidence from the estimation of the panel threshold error correction model, where GDP growth is used as the transition variable, indicates a significant threshold effect, which supports a nonlinear relationship among the variables by identifying two distinct growth regimes: lower and upper. For the estimation sample, the positive and significant parameter estimates for economic growth in both growth regimes do not support the EKC hypothesis. The results indicate that renewable and nonrenewable energy consumption has a larger impact on the EF in the upper than lower growth regime. The threshold estimates are in line with the linear long-run estimates that do not indicate that income inequality has a significant impact on ecological footprint. However, globalization appears to negatively affect environmental quality in the lower growth regime.

A focus on Ghana's sustainable development: Examining the interplay of income inequality and energy poverty

This study investigates how income inequality influences energy poverty alleviation in Ghana as it seeks to achieve a sustainable economy. Employing the Granger causality test on a dataset from 1990 to 2021, the results show that both Gini post-tax and post-transfer (Income inequality-l l 1 ) and Gini pre-tax and pre-transfer (Income inequality-l l 2 ) Granger-cause access to electricity and rural area access to electricity. Urban area access to electricity Granger-causes Gini post-tax and post-transfer. Similarly, an FMOLS test was carried out to introduce some controlling variables and results showed that GDP, trade liberation, urbanization, population growth, and financial development increase income inequality and access to clean fuels and technology, as well as access to urban energy, have a substantial impact on economic disparity. In addition, GDP, financial development, energy intensity, industrialization, trade liberalization, urbanization, population rise, and FDI all have varying implications on energy poverty. These results imply the need to include energy poverty reduction measures within income inequality reduction policies to enhance not just access to today's cutting-edge energy but also affordability to the minimal income receivers. Other reforms and levies on electricity consumption options in renewable energy support can contribute to addressing income inequality and energy poverty issues in Ghana.

Impact of income inequality on carbon emissions: a matter of corruption governance

Corruption is often linked with income inequality and its impact on carbon emissions. This study investigates the moderating effect of corruption governance on the relationship between income inequality and carbon emissions. Panel data for 62 countries from 2012 to 2020 were used. We employed a threshold panel regression approach, considering income inequality as the explanatory variable and carbon dioxide emissions as the dependent variable, with corruption governance as the threshold variable. Our findings suggest that enhancing the level of corruption governance can mitigate the CO2 emissions driven by income inequality. Specifically, we found a shift in the impact on CO2 emissions when corruption governance crosses a certain threshold. This study provides insights into how improving corruption governance can help in managing the environmental effects of income inequality.

Income inequality and socioeconomic differences in bullying perpetration among adolescents in post-communist countries of Europe: Findings from the HBSC study

Background

Adolescent bullying is a major public health concern in post-Communist countries of Europe (PCCE). We studied the impact of income inequality on the prevalence of and socioeconomic differences in bullying perpetration.

Methods

Nationally representative samples of adolescents aged 11-15 years from 14 PCCE participating in the Health Behavior in School-aged Children survey during 2017-18 years were included. Multilevel logistic regression models were fitted.

Results

Overall, 71,119 adolescents participated in the survey. About 27.7 % of country differences in bullying perpetration were attributable to high income inequality. Adolescents with low and high family socioeconomic status (SES) had a 10-15 % greater risk (P < 0.05) of bullying perpetration compared to middle-SES adolescents. In cross-level interaction, the risk of bullying perpetration was the highest among high-SES adolescents from countries with wider income inequality (P-interaction = 0.003). The odds ratios of bullying perpetration comparing high- vs. low-SES adolescents ranged from 0.67 in the least unequal to 1.59 in the most unequal countries.

Conclusions

Our findings suggest that high income inequality might contribute to school bullying among adolescents in PCCE, particularly those from high-SES families. The necessary political and economic interventions should focus on improving the country socioeconomic environment in PCCE. Moving towards less neoliberal policies and creating a strong welfare state that promotes the population's economic and social well-being and reduces income inequality might be a necessary component of macro-level strategies aimed at preventing bullying among adolescents. Targeted public health interventions might be required for high-SES adolescents in countries with wide income inequality.

Income inequality and depressive symptoms among Chinese adults: a quasi-experimental study

OBJECTIVE

There is a lack of causal evidence on the impact of income inequality on depressive symptoms. The impact of China's Targeted Poverty Alleviation (TPA) policy on depressive symptoms is also unclear. Using a quasi-experimental design, this study aims to investigate the causal effects of TPA and income inequality on depressive symptoms among Chinese adults.

STUDY DESIGN

This is a population-based study.

METHODS

Three waves (2012, 2016, and 2018) of the China Family Panel Studies (CFPS), a nationally representative sample of China, were included in this study. We performed difference-in-difference (DID) models to assess the effect of TPA and income inequality on depressive symptoms. We further conducted the mixed effect models to examine the impact of income inequality on depressive symptoms. The study considered a range of spatial factors and spatial splines to address spatial autocorrelations.

RESULTS

This study included valid measures of depressive symptoms (Center for Epidemiologic Studies Depression Scale [CES-D-8] score) from 14,442 adults of CFPS. The DID results indicated that at the provincial level, the CES-D-8 score of the TPA treatment group was on average 0.570 (95% confidence interval [CI]: 0.358-0.783) less than the control group. Furthermore, a 0.1 increase in Gini index would lead to a 0.256 (95% CI: 0.064-0.448) increase in CES-D-8 score. The mixed effect model showed that income inequality was a risk factor for depressive symptoms at the provincial level (excess risk = 5.602% [95% CI: 3.047%-8.219%]).

CONCLUSIONS

Our findings suggest that income inequality adversely affects mental health, but China's Targeted Poverty Alleviation improves the mental health of the Chinese population.

Inequality's on Tap: A Longitudinal Study of Area-Level Income Inequality and Alcohol Consumption Among Canadian Adolescents

PURPOSE

To determine if income inequality at the census division level is associated with alcohol consumption and abuse among junior high and high school students.

METHODS

Data on adolescents are from the Cannabis use, Obesity, Mental health, Physical activity, Alcohol use, Smoking, and Sedentary behavior (COMPASS) study. Participant data (n = 19,759) were collected during three survey waves (2016-2017, 2017-2018, and 2018-2019) and linked to 30 census divisions within four Canadian provinces. Data on income inequality and other area-level factors were derived from the 2016 Canadian census. Multilevel logistic regression modelling was used to quantify the associations between income inequality, monthly alcohol consumption, and binge drinking.

RESULTS

After adjusting for covariates, students living in census divisions within the second and third quintiles of income inequality experienced an average 80% (OR = 1.80, 95% CI = 1.08-3.02) and 92% (OR = 1.92, 95% CI = 1.05-3.51) increased odds of engaging in monthly binge drinking, respectively, compared to those living in the first quintile. Similarly, adolescents living in census divisions within the second inequality quintile experienced an average 169% (OR = 2.69, 95% CI = 1.45, 4.99) increased odds of engaging in weekly binge drinking, compared to those living in the first quintile. There was no significant association between higher income inequality and current monthly alcohol consumption.

DISCUSSION

Moderate area-level income inequality within census divisions was adversely associated with alcohol consumption among adolescents. Future work should investigate the potential mechanisms that mediate this relationship.

Perceptions of Income Inequality and Women's Intrasexual Competition

Income inequality has been empirically linked to interpersonal competition and risk-taking behaviors, but a separate line of findings consistently shows that individuals have inaccurate perceptions of the actual levels of income inequality in society. How can inequality be both consistently misperceived and yet a reliable predictor of behavior? The present study extends both these lines of research by evaluating if the scope of input used to assess income inequality (i.e., at the national, state, county, or postal code level) can account for perception discrepancies and if actual/perceived inequality is associated with female intrasexual competition. Female participants recruited online from the general US population (n = 691) provided demographic information, measures of perceived income inequality, and measures of intrasexual competition attitudes and behavior. Actual and perceived income inequality (at any level) did not predict negative attitudes toward other women or female weighting of physical appearance as a desirable trait. Perceived income inequality and actual county-level inequality was, however, predictive of female competition in the form of self-sexualization clothing choice. Further analyses found that age and importance placed on physical attractiveness also predicted women's clothing choices. Perceptions of income inequality were predicted not by actual Gini indices, but by beliefs about the levels of poverty and income gaps. These results highlight the importance of better understanding the proximate cues by which people perceive environmental features such as inequality, and how those cues are used to adjust interpersonal behaviors.

Exploring the longitudinal associations between census division income inequality and BMI trajectories among Canadian adolescent: Is gender an effect modifier?

Background

Income inequality is a structural determinant of health linked to increased risk of overweight and obesity, although its links to the health of adolescent populations are not well understood. This study investigated the longitudinal associations between census-division-level (CD) income inequality and BMI trajectories among Canadian adolescents, and determine if these associations vary by gender.

Methods

Study data are from the Cannabis use, Obesity, Mental health, Physical Activity, Alcohol use, Smoking, and Sedentary behaviour (COMPASS) cohort of adolescents attending secondary schools in Canada. Our sample included 14,675 adolescents who were followed up across three waves of the COMPASS study (2016-2017, 2017-2018, and 2018-2019) and linked to 30 CDs. Measures of income inequality and other area-level covariates were derived and linked to COMPASS participants using data from the 2016 Canadian Census. We utilized multilevel mixed-effects linear regression modelling to quantify the associations between income inequality and BMI and test for effect modification by gender. Sensitivity analyses were run excluding those with BMI scores in the range considered overweight or obesity at baseline.

Results

Higher CD income inequality was significantly associated with higher z-transformed BMI scores (β = 0.11, 95% CI = 0.034 to 0.19). The interaction term between income inequality and time was not statistically significant, indicating that this association remained constant over time. Once stratified by gender, the association between inequality and BMI became stronger for males (β = 0.14, 95% CI = 0.060 to 0.022) and attenuated for females (β = 0.063, 95% CI = -0.047 to 0.17).

Conclusion

Attending schools in CDs with higher income inequality was associated with higher BMI scores among male but not female adolescents. Further work is needed to investigate this discrepancy and identify the structural mechanisms that mediate the relationship between inequality and adolescent health.

A Neighborhood-level analysis of mental health distress and income inequality as quasi-longitudinal risk of reported COVID-19 infection and mortality outcomes in Chicago

Extant literature investigates the impact of COVID-19 on mental health outcomes, however there is a paucity of work examining mental health distress as a risk factor for COVID-19 outcomes. While systemic variables like income inequality relate to both mental health and COVID-19, more work is needed to test theoretically informed models including such variables. Using a social-ecological framework, we aimed to address these gaps in the literature by conducting a neighborhood-level analysis of potential mental health distress and systemic- (income inequality) level predictors of reported COVID-19 infection and mortality over time in Chicago. Neighborhood-level comparisons revealed differences in mental health distress, income inequality, and reported COVID-19 mortality, but not reported COVID-19 infection. Specifically, Westside and Southside neighborhoods generally reported higher levels of mental health distress and greater concentration of poverty. The Central neighborhood showed a decline in reported mortality rates over time. Multi-level negative binomial models established that Zip-codes with greater mental health distress were at increased reported COVID-19 infection risk, yet lower mortality risk; Zip-codes with more poverty were at increased reported COVID-19 infection risk, yet lower mortality risk; and Zip-codes with the highest percentage of People of Color were at decreased risk of reported COVID-19 mortality. Taken together, these findings substantiate Chicago neighborhood-level disparities in mental health distress, income inequality, and reported COVID-19 mortality; identify unique differential associations of mental health distress and income inequality to reported COVID-19 infection and reported mortality risk; and, offer an alternative lens towards understanding COVID-19 outcomes in terms of race/ethnicity.

The effects of carbon trading on resident income: a theoretical and empirical study on the pilot carbon market in China

Establishing an efficient carbon emissions trading market is a priority to achieve the goal of carbon peaking and carbon neutrality. In the context of income inequality and emissions inequality, this study examined the efficiency of carbon trading in China from the perspective of resident income. First, this paper used the Cobb-Douglas (C-D) production function to incorporate carbon intensity into the production network model and obtained the expression of household income by solving the Walras equilibrium. Secondly, this study put forward a theory that Carbon trading affects the income level of individuals. Finally, in order to test the theory, the study used the differences-in-differences (DID) method, provincial panel data from 2005 to 2019, and the quasi-natural experiment of China's carbon emissions trading pilot. The results indicated that this policy could reduce the per capita disposable income level. Further heterogeneity research showed that although the emission reduction effect was significant, the pilot policy failed to save emission reduction costs and improve residents' welfare. The low efficiency of the carbon market was mainly attributed to the insufficient liquidity of the pilot carbon market. Therefore, it not only failed to achieve efficiency but also increased unnecessary costs, which had a negative impact on income. In addition, the consumption patterns of residents and the industrial-oriented economic structure exacerbated the decline in income.

Taxing for a better life? The impact of environmental taxes on income distribution and inclusive education

This paper examines the impact of environmental taxes on economic and social inequalities using data from 38 OECD countries from 1994 to 2020. The results show that the introduction of an environmental tax can have unequal consequences on population groups due to differences in consumption behaviour and access to environmental alternatives. The results also indicate that environmental taxes with a progressive character (i.e. higher for higher income households) can reduce inequalities and improve environmental efficiency. The introduction of environmental taxes should therefore be done with care and with due regard to their impact on inequality. Tax policies must be designed to protect the most vulnerable households and promote equity while protecting the environment. Thus, environmental taxation should be accompanied by social and economic policies that reduce inequalities and support the most affected social groups. It is also important for governments to have better communication and awareness-raising on the impacts of environmental taxation on inequalities, in order to ensure a just transition towards sustainable lifestyles.

Association of census-tract level gentrification and income inequality with 6-year incidence of metabolic syndrome in the Hispanic Community Health Study/Study of Latinos, an epidemiologic cohort study

BACKGROUND

Metabolic syndrome varies by socio-demographic characteristics, with younger (18-29 years) and older (50-69 years) Hispanic/Latino having higher prevalence compared to other groups. While there is substantial research on neighborhood influences on cardiometabolic health, there are mixed findings regarding the effects of gentrification and few studies have included Hispanic/Latinos. The role of neighborhood income inequality on metabolic health remains poorly understood.

OBJECTIVES

Examined associations of neighborhood gentrification and income inequality with metabolic syndrome (MetSyn) using data from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL).

DESIGN, SETTING AND PARTICIPANTS

The HCHS/SOL is a community-based cohort of adults of Hispanic/Latinos (aged 18-74). Analyses included 6710 adults who did not meet criteria for MetsS at baseline (2008-2011) and completed the visit 2 examination (2014-2017). Poisson regressions estimated odds ratios (IRR) and 95% confidence intervals (CI) for neighborhood gentrification and change in income inequality with MetSyn incidence.

MAIN OUTCOME AND EXPOSURE MEASURES

Gentrification was measured with an index that included changes (2000 to 2006-2010) in education, poverty, and income. Change in neighborhood income inequality (2005-2009 to 2012-2016) was measured using the Gini coefficient of income distribution. MetSyn was defined using National Cholesterol Education Program Adult Treatment Panel III criteria.

RESULTS

Among 6647 Hispanic/Latino adults, 23% (N = 1530) had incident MetSyn. In models adjusted for socio-demographic, health insurance status, and neighborhood characteristics, gentrification (IRR, 1.00, 95%CI, 0.96-1.03) and income inequality change (IRR, 1.00, 95%CI, 0.99-1.00) were not associated with MetSyn at visit 2. There was no association between cross-sectional income inequality (2005-2009) and MetSyn at visit 2 (IRR, 0.97, 95%CI, 0.82-1.15).

CONCLUSION

Neighborhood gentrification and income inequality change were not associated with incidence of MetSyn over 6 years among Hispanic/Latino adults. This study demonstrated that income-based residential changes alone may not be sufficient to explain neighborhood influences on health outcomes among this population.

Social network, political climate, income inequality, and Americans uptake of monovalent COVID-19 booster

The COVID-19 pandemic has posed an unprecedented impact on Americans for over three years. To control the damage, a booster shot becomes increasingly necessary because the efficacy of the initial vaccine is waning and new variants of the virus are emerging. This study aims to understand factors at both individual and state levels that influence one's decision to take the monovalent booster. We merged data from a national survey administered in the Spring of 2022 with state-level indicators of the political climate, income inequality, and public health conditions. Multilevel logistic regression is adopted for statistical estimation. Findings show contrasting effects of the social network. More vaccinated people in one's network promote booster uptake, while more family members and close friends who contracted the virus in one's network inhibit booster uptake. In addition, residents of states with more votes for the Democratic candidate in the 2020 general election are more likely to take the booster. Meanwhile, residents from states with high income inequality are less likely to become boosted. This study identified multilevel determinants of the individual decision to receive the monovalent COVID-19 booster. The results imply the need to leverage the social network, weaken partisanship salience, and reduce income inequality to encourage booster uptake.

Income is more protective against pain in more equal countries

It is empirically well-established that the rich suffer less pain on average than the poor. However, much less is known about the factors that moderate the size of the income gradient of pain. Using data from over 1 million adults from 127 countries worldwide, this article conducts a systematic test on whether income inequality moderates the pain gap between the rich and the poor. While pain is negatively associated with income in all but one country, there is strong evidence to suggest that an increase in income is much more protective against pain in countries where the income distribution is relatively more equal. The results are robust to using different measures of income inequality, removing outliers, and accounting for country and year fixed effects. We explain our results through the lens of income rank effects on health outcomes. Overall, our findings suggest that pain-reducing policies through income redistribution may need to take income inequality into consideration when evaluating their effectiveness.

"COVID-19 and income inequality in OECD countries:" A methodological comment

Wildman (2021), who identifies "a clear association between income inequality [measured by the Gini coefficient] and COVID-19 cases and deaths," concludes that "a goal of government should be to reduce [income] inequalities and [thereby] improve [the COVID-19 outcomes /] underlying health of their populations." In this Comment, we argue that reducing the Gini coefficient of the income distribution of a population need not weaken the population's social stress. It is this stress which is a source of adverse health outcomes of the population. Because a measure of this stress is a component of the Gini coefficient, reducing the coefficient can leave the measure as is, or even increase the measure.

Socio-economic correlates of childhood obesity in urban and rural England

OBJECTIVE

Physical access to food may affect diet and thus obesity rates. We build upon existing work to better understand how socio-economic characteristics of locations are associated with childhood overweight.

DESIGN

Using cross-sectional design and publicly available data, the study specifically compares rural and urban areas, including interactions of distance from supermarkets with income and population density.

SETTING

We examine cross-sectional associations with obesity prevalence both in the national scale and across urban and rural areas differing in household wealth.

PARTICIPANTS

Children in reception class (aged 4-5) from all state-maintained schools in England taking part in the National Child Measurement Programme (n 6772).

RESULTS

Income was the main predictor of childhood obesity (adj. R-sq=.316, p<.001), whereas distance played only a marginal role (adj. R-sq=.01, p<.001). In urban areas, distance and density correlate with obesity directly and conditionally. Urban children were slightly more obese, but the opposite was true for children in affluent areas. Association between income poverty and obesity rates was stronger in urban areas (7·59 %) than rural areas (4·95 %), the former which also showed stronger association between distance and obesity.

CONCLUSIONS

Obesogenic environments present heightened risks in deprived urban and affluent rural areas. The results have potential value for policy making as for planning and targeting of services for vulnerable groups.

The long-run effects of financial development on income inequality: Evidence from the Asia-Pacific countries

Income inequality is a vexing developmental challenge for governments and policymakers as it impedes social transformation and economic growth and development. Meanwhile, promoting financial development is generally regarded as an effective way to achieve inclusive and sustainable growth. This study examines the long-run effects of financial development, economic growth, and their combined effects on income inequality for 12 Asia-Pacific countries from 1990 to 2021. This paper employs various econometric techniques and different financial development proxies to ensure the findings' robustness. The paper also constructs a financial development index using the principal component analysis to fully capture the comprehensive effect of financial development on income inequality. Empirical results reveal that the impact of financial development on income inequality follows the inverted U-shaped relationship - financial development widens income inequality and only reduces income when surpassing its turning point. Findings further reveal that the nonlinear effect of financial development on income inequality is contingent upon the level of per capita income. Thus, policies promoting financial development to reduce income inequality should consider the existing level of per capita income.

A Longitudinal Study of Income Inequality and Mental Health Among Canadian Secondary School Students: Results From the Cannabis, Obesity, Mental Health, Physical Activity, Alcohol, Smoking, and Sedentary Behavior Study (2016-2019)

PURPOSE

Depression and anxiety among adolescents are major public health concerns. Findings indicate that income inequality was associated with increased risk for depression and anxiety among adolescents; however, this has not been tested longitudinally. We aim to quantify the longitudinal association between income inequality and depression and anxiety among Canadian adolescents.

METHODS

We used longitudinal data on 21,141 students from three waves (2016/17-2018/19) of the Cannabis, Obesity, Mental health, Physical activity, Alcohol, Smoking, and Sedentary behavior (COMPASS) school-based study. Multilevel modeling was used to assess the association between census division (CD)-level income inequality and depressive and anxiety symptoms and odds for depression and anxiety over time.

RESULTS

Across CDs, the mean Gini coefficient was 0.37 (range: 0.30, 0.46). Attending schools in CDs with higher levels of income inequality was associated with higher depressive scores (ß = 0.08; 95% confidence interval [CI] = 0.02, 0.14) and an increased odds for depression (odds ratio = 1.55, 95% CI = 1.06, 2.28) over time. Income inequality was not significantly associated with anxiety symptoms or experiencing anxiety over time. Additional analyses showed that income inequality was associated with higher depressive scores among females (ß = 0.10; 95% CI = 0.01, 0.18) and males (ß = 0.08, 95% CI = 0.01, 0.15) and for anxiety scores among females (ß = 0.13, 95% CI = 0.04, 0.22), but not among males (ß = -0.01, 95% CI = -0.09, 0.06).

DISCUSSION

Findings from this study indicated that income inequality is associated with depression over time among adolescents. This study highlights key points of intervention for the prevention of mental illness in adolescents.

The impacts of adverse childhood experiences on socioeconomic disadvantage by sexual and gender identity in the U.S

BACKGROUND

Adverse childhood experiences (ACEs) predict low education and low income, but this has scarcely been examined by sexual orientation and gender identity.

OBJECTIVE

We investigated prevalence and associations between ACEs, low income, and low education in sexual and gender diverse (SGD) and cisgender heterosexual (CGH) sub-groups.

PARTICIPANTS AND SETTING

Data came from 14 states in the 2019 Behavioral Risk Factor Surveillance System survey (n = 79,303).

METHODS

Chi-square, logistic regression, and moderation analyses were implemented to examine the prevalence and associations between ACEs, low income, and low education. Sample stratification was used to examine differences between SGD and CGH sub-groups.

RESULTS

SGD participants reported higher prevalence of ACEs, low income, and low education compared to CGH participants (p < 0.0001) with the highest proportions in transgender and queer/something else groups. ACEs were associated with low income (AOR 1.084, CI 1.067-1.102) and low education (AOR 1.056, CI 1.041-1.071) in the entire sample. Transgender and queer/something else groups had higher odds of low income (AOR 3.345, CI 1.975-5.665; AOR 1.702, CI 1.096-2.643) and low education (AOR 1.702, CI 1.096-2.643; AOR 3.552, CI 2.842-4.440) and gay/lesbian identity had reduced odds of low education (AOR 0.586, CI 0.457-0.751) compared to CGH males. The strength of associations between ACEs and low income and low education were weaker among SGD compared to CGH sub-groups.

CONCLUSION

These findings highlight the importance of including categories of sexual identity cross-classified by gender identity in population-based analyses in order to facilitate a comprehensive characterization of the life course outcomes of SGD populations.

Digitalization, income inequality, and public health: Evidence from developing countries

The COVID-19 pandemic has amplified the awareness and demand of public health worldwide. Based on the panel data of 81 developing countries from 2002 to 2019, this study probes into the effect of digitalization on public health and explores the mechanism through which digitalization affects public health from the perspective of income inequality. The results show that digitalization significantly enhances public health in developing countries, and this conclusion still holds after the robustness test. The heterogeneity analysis based on geographic location and income level indicates that the enhancing effect of digitalization on public health is most evident in Africa and middle-income countries. A further mechanism analysis suggests that digitalization can positively impact public health through the intermediary channel of suppressing income inequality. This study enriches the research on digitalization and public health and provides insights for comprehending public health needs and the powerful empowering effects of digitalization.

Income Inequality and Socioeconomic Disparities in Alcohol Use Among Eastern European Adolescents: A Multilevel Analysis

PURPOSE

In this study, we tested the "golden youth" hypothesis, which suggests that in Eastern Europe, affluent adolescents are at an increased risk of alcohol use. Also, we hypothesized that the relationship between high socioeconomic position (SEP) and more alcohol use is stronger in countries with wider income inequality.

METHODS

In total, 50,421 adolescents aged 13-15 years were included from 16 Eastern European countries participating in the 2013-2014 Health Behaviour in School-aged Children survey. Multilevel logistic regression analyses were performed.

RESULTS

Affluent adolescents had greater odds of weekly alcohol use (OR = 1.32, 95% CI = 1.23-1.41) and binge drinking (OR = 1.24, 95% CI = 1.16-1.32) than their peers from low-SEP families. However, no significant difference was observed between middle- and low-SEP adolescents. In countries with wider income inequality, the relationship between high family-SEP and weekly alcohol use (p interaction = .006), as well as high family-SEP and binge drinking (p interaction = .007), was stronger compared to countries with lower income inequality.

DISCUSSION

Possibly, influenced by the lifestyle choices of their parents, and using alcohol as a status symbol to establish and maintain friendly relationships with peers, Eastern European adolescents from affluent families, particularly in the most unequal settings, are at increased risk of alcohol use, confirming the golden youth hypothesis. Insecure self-image and perceived threat to their high status might be explanatory factors. More research is needed to identify the precise individual and family characteristics responsible for increased alcohol use among wealthy adolescents, especially in Eastern European countries with high income inequality.

Income Inequality in Africa: Exploring the Interaction Between Urbanization and Governance Quality

While many studies have examined the influence of urbanization on income inequality, the study on the moderating effect of governance on the relationship between urbanization and income inequality remains quite inexistent. To fill this gap in the literature, the study examines the moderation of governance quality on the influence of urbanization on income inequality in 46 African economies from 1996 to 2020. A two stage system GMM estimation approach has been used to achieve this goal. The results unveil that the impact of urbanization on income inequality is positive and significant, meaning that increase in urbanization exacerbates income inequality in Africa. However, the results show that the improvement of governance quality could contribute to improve income distribution in urban areas. Interestingly, the results show that improving governance quality in Africa could contribute to spurring a positive urbanization which could contribute to promote urban economic growth and reduce income inequality.

The effect of income inequality and economic growth on carbon dioxide emission

Most of the developing and emerging countries are focusing to increase economic growth, enhance the living standard of the people, and reduce income inequality. Increasing economic growth through the factors such as agriculture, energy use for production, and other related activities can harm the environment. Considering this situation, this study utilizes data from the Belt and Road Initiative countries for the period of 1999 and 2018 to explore the nexus between income inequality, agricultural value added, and carbon dioxide using two-step system GMM model. The findings of the study indicate that income inequality, economic growth, energy consumption, and agriculture significantly contribute to an increase in carbon emissions and a decrease in environmental quality. On the other hand, the findings also indicate that manufacturing and service industries significantly contribute to an improvement in environmental quality by reducing carbon emissions. The findings lend even more credence to the environmental Kuznets curve, but the results do not indicate that there is a strong relationship between income inequality and economic growth. The outcomes of this study have crucial policy implications for the sample countries to build environmental regulations.

ICT, Gender Inequality, and Income Inequality: A Panel Data Analysis Across Countries

ICT has been long recognized as a driver of sustainable development goals (SDGs). This study examines the relationship between ICT, gender (in)equality (SDG 5), and income inequality (SDG 10). We conceptualize ICT as an institutional actor and use the Capabilities Approach to theorize the relationships between ICT, gender inequality and income inequality. This study uses publicly available archival data to conduct a cross-lagged panel analysis of 86 countries from 2013 to 2016. The key contributions of the study include the establishment of the relationship between (a) ICT and gender inequality and (b) gender inequality and income inequality. We also make methodological contributions to the field by employing cross-lagged panel data analysis to further our understanding of the links between ICT, gender equality, and income inequality over time. Our findings have implications for both research and practice, which are discussed.

Income inequality, economic growth, renewable energy usage, and environmental degradation in the Belt and Road initiative countries: dynamic panel estimation

This study investigates the effect of income inequality, carbon dioxide emissions, renewable energy consumption, and economic growth on each other's in the Belt and Road initiative countries from 2002 to 2019. By using OLS, fixed effect, difference GMM, system GMM, and seemingly unrelated regression (SUR) models, the results show that income inequality and renewable energy consumption are reduced while economic growth, foreign direct investment, and financial development have an increasing effect on carbon emissions. The effect of carbon emissions and renewable energy consumption is negative, while economic growth is positive and negative for income inequality across different models. Income inequality, carbon dioxide emissions, economic growth, and foreign direct investment are negatives for renewable energy consumption. Income inequality is positive, while carbon dioxide and financial development negatively affect economic growth. The findings have considerable policy implications for the sample countries regarding income distribution, energy use, environmental quality, and enhancing economic growth. The countries should focus on acquiring renewable energy sources to increase economic growth and reduce environmental pollution.

On a tendency in health economics to dwell on income inequality and underestimate social stress

Social stress can cause physical and mental harm. It is therefore not surprising that public health policy makers have sought to identify and implement policies aimed at tackling this social ill. A frequently prescribed remedy is to reduce social stress by reducing income inequality, which is typically measured by the Gini coefficient. Decomposing the coefficient into a measure of a population's social stress and a population's income makes it possible to show that steps taken to lower the coefficient can actually exacerbate social stress. We formulate conditions under which lowering the Gini coefficient coincides with increasing social stress. If the aim of public policy is to improve public health and increase social welfare, and if social welfare is reduced by social stress, then lowering the Gini coefficient may not be the right course of action.

Could ecological restoration reduce income inequality? An analysis of 290 Chinese prefecture-level cities

Ecosystem degradation and the serious wealth gap caused by rapid economic development have become problems that cannot be neglected during the progress of pursuing sustainable development and reducing income inequality in China. To determine whether ecological restoration such as vegetation cover could affect the income gap, we used data for 290 prefecture-level cities in China from 2007 to 2018 and analyzed the effect of ecological restoration on income inequality in China. In addition, we chose the year 2012 as a boundary and performed heterogeneity analysis to permit a detailed comparison of the variation in the effect over time. We found that ecological restoration can reduce income inequality in general, but this effect was not statistically significant until 2012. However, due to some practical obstacles (e.g., employment opportunities, educational attainment, social discrimination), reducing income inequality through ecological restoration will be a time consuming process and requires constant effort from the Chinese government and local managers such as funding green industries, providing more targeted technical training for the poor and social services for the rural migrant workers.

Income and rural-urban status moderate the association between income inequality and life expectancy in US census tracts

BACKGROUND

A preponderance of evidence suggests that higher income inequality is associated with poorer population health, yet recent research suggests that this association may vary based on other social determinants, such as socioeconomic status (SES) and other geographic factors, such as rural-urban status. The objective of this empirical study was to assess the potential for SES and rural-urban status to moderate the association between income inequality and life expectancy (LE) at the census-tract level.

METHODS

Census-tract LE values for 2010-2015 were abstracted from the US Small-area Life Expectancy Estimates Project and linked by census tract to Gini index, a summary measure of income inequality, median household income, and population density for all US census tracts with non-zero populations (n = 66,857). Partial correlation and multivariable linear regression modeling was used to examine the association between Gini index and LE using stratification by median household income and interaction terms to assess statistical significance.

RESULTS

In the four lowest quintiles of income in the four most rural quintiles of census tracts, the associations between LE and Gini index were significant and negative (p between < 0.001 and 0.021). In contrast, the associations between LE and Gini index were significant and positive for the census tracts in the highest income quintiles, regardless of rural-urban status.

CONCLUSION

The magnitude and direction of the association between income inequality and population health depend upon area-level income and, to a lesser extent, on rural-urban status. The rationale behind these unexpected findings remains unclear. Further research is needed to understand the mechanisms driving these patterns.

COVID-19 and income inequality: evidence from monthly population registers

We measure the distributional impact of the COVID-19 pandemic using newly released population register data in Sweden. Monthly earnings inequality increased during the pandemic, and the key driver is income losses among low-paid individuals while middle- and high-income earners were almost unaffected. In terms of employment, as measured by having positive monthly earnings, the pandemic had a larger negative impact on private-sector workers and on women. In terms of earnings conditional on being employed, the effect was still more negative for women, but less negative for private-sector workers compared to publicly employed. Using data on individual take-up of government COVID-19 support, we show that policy significantly dampened the inequality increase, but did not fully offset it. Annual total market income inequality, which also includes capital income and taxable transfers, shows similar patterns of increasing inequality during the pandemic.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10888-022-09560-8.

Additional social welfare of environmental regulation: The effect of environmental taxes on income inequality

This study utilizes the environmental tax reform in China as a quasi-natural experiment to investigate the effect of environmental taxes on income inequality. In January 2018, the Environmental Protection Tax Law (EPTL) came into effect in China, provinces began to collect environmental taxes in accordance with the law. We find that the reform contributes to lower within-firm wage inequality. The reform leads to declines in executive compensation and increases in worker wages. We further find that tax enforcement, environmental regulations, fiscal stress and tax competition vary the relationship between the reform and wage inequality. Heterogeneity analyses show that the effect is greater in non-state-owned firms, small firms, and firms with higher board shareholdings. Extensive robustness tests corroborate our inferences. This paper verifies the effectiveness of environmental regulation in enhancing social welfare, and is beneficial for assessing the welfare effects of environmental regulation more accurately. The findings can also help the government reduce obstacles in the implementation of environmental taxes, and further enhance the effectiveness of the EPTL.

Your neighborhood matters: an ecological social determinant study of the relationship between residential racial segregation and the risk of firearm fatalities

BACKGROUND

Firearm fatalities are a major public health concern, claiming the lives of 40,000 Americans each year. While firearm fatalities have pervasive effects, it is unclear how social determinants of health (SDOH) such as residential racial segregation, income inequality, and community resilience impact firearm fatalities. This study investigates the relationships between these SDOH and the likelihood of firearm fatalities.

METHODS

County-level SDOH data from the Agency for Health Care Research and Quality for 2019 were analyzed, covering 72 Wisconsin counties. The dependent variable was the number of firearm fatalities in each county, used as a continuous variable. The independent variable was residential racial segregation (Dissimilarity Index), defined as the degree to which non-White and White residents were distributed across counties, ranging from 0 (complete integration) to 100 (complete segregation), and higher values indicate greater residential segregation (categorized as low, moderate, and high). Covariates were income inequality ranging from zero (perfect equality) to one (perfect inequality) categorized as low, moderate, and high, community resilience risk factors (low, moderate, and high risks), and rural-urban classifications. Descriptive/summary statistics, unadjusted and adjusted negative binomial regression adjusting for population weight, were performed using STATA/MPv.17.0; P-values ≤ 0.05 were considered statistically significant. ArcMap was used for Geographic Information System analysis.

RESULTS

In 2019, there were 802 firearm fatalities. The adjusted model demonstrates that the risk of firearm fatalities was higher in areas with high residential racial segregation compared to low-segregated areas (IRR.:1.26, 95% CI:1.04-1.52) and higher in areas with high-income inequality compared to areas with low-income inequality (IRR.:1.18, 95% CI:1.00-1.40). Compared to areas with low-risk community resilience, the risk of firearm fatalities was higher in areas with moderate (IRR.:0.61, 95% CI:0.48-0.78), and in areas with high risk (IRR.:0.53, 95% CI:0.41-0.68). GIS analysis demonstrated that areas with high racial segregation also have high rates of firearm fatalities.

CONCLUSION

Areas with high residential racial segregation have a high rate of firearm fatalities. With high income inequality and low community resilience, the likelihood of firearm fatalities increases.

Factors affecting public transport performance due to the COVID-19 outbreak: A worldwide analysis

In this paper we investigate the public transport trip frequency variations, as well as the reasons that led to the shift away from public transport means, due to the COVID-19 pandemic. We studied relevant data from the Moovit platform, and we compared operational and trip frequency characteristics of public transport systems before and after the outbreak of the pandemic in 87 cities worldwide. On average, waiting times at public transport stops/stations increased while trip distances decreased, apparently due to the mobility restriction and social distancing measures implemented in 2020. Most of the Moovit users who said that they abandoned public transport in 2020 were found in Italy and Greece. We developed linear regression analysis models to investigate (among the 35 variables examined in the study) the relationship between public transport abandonment rates and socioeconomic factors, quality of service characteristics, and indicators of pandemic's spread. Empirical findings show that public transport dropout rates are positively correlated with the COVID-19 death toll figures, the cleanliness of public transport vehicles and facilities, as well as with the income inequality (GINI) index of the population, and thus reconfirm previous research findings. In addition, the waiting time at stops/stations and the number of transfers required for commute trips appeared to be the most critical public transport trip segments, which significantly determine the discontinuation of public transport use under pandemic circumstances. Our research findings indicate specific aspects of public transport services, which require tailored adjustments in order to recover ridership in the post-pandemic period.

Analyzing environmental impact assessment of income inequality, globalization, and growth in sub-Saharan African countries

Despite the growing literature on the inequality-emissions nexus, this area of empirical interest is still inconclusive, particularly in the era of globalization. Hence, this empirical work investigates the effect of income inequality on carbon dioxide (CO₂) emissions controlling the model for globalization. Considering the unique characteristics of various proxies of inequality, different proxies have been employed to develop an in-depth understanding of the inequality-emission nexus. The Driscoll-Kraay and generalized least square regression approaches are used for 38 sub-Saharan African countries from 1990 to 2016. Empirical results infer that higher income inequality promotes carbon reduction in the sample countries of the study. Further, findings suggest that globalization is beneficial for the environment by contributing to carbon emission mitigation. Several additional variables are used to validate the findings. The study offers some important policy implications in the end.

Exploring the impact of emissions trading schemes on income inequality between urban and rural areas

While the Paris Agreement and 2030 Agenda for Sustainable Development are the two most important global governance agendas, in practice they have been implemented in isolation. This calls for the need to focus on the potential policy synergies between emission reduction policies and Sustainable Development Goals (SDGs). This paper therefore aims to explore whether the emissions trading scheme (ETS) policy-one of the most effective ways to fulfill the target determined by the Paris Agreement, would facilitate reducing income inequality (SDG10). By combining a difference-in-difference estimation and propensity score matching technique based on a balanced panel dataset for 31 Chinese provinces from 2010 to 2018, we quantify the impact of ETS policy on income inequality between urban and rural areas in China. The results demonstrate that compared with the regions without ETS, the Theil index between rural and urban areas with ETS decreased by 0.018 on average in China. In addition, the ETS would perform better in regions with low urbanization level and high coal dependence. Hence it is vital to speed up the establishment of a unified ETS market in China. This is particularly true for inner underdeveloped regions in China. These findings proven to be robust according to a series of tests challenge the view that SDG 10 has the least relevance to climate action and suggest rethinking the effectiveness and applicability of ETS. Therefore, our research can not only serve as a reference for the development of ETS in China and elsewhere, but also inform decision makers who are seeking for policy synergies between the Paris Agreement and SDGs.

Exploring the nexus between energy consumption, income inequality and poverty, economic growth, and carbon dioxide emission: evidence from two step system generalized method of moments

The concern of environmental degradation, poverty, and income inequality remains a priority in achieving sustainable development goals. Countries are trying to reduce income inequality, alleviate poverty, and reduce environmental degradation which needs special attention. Consequently, this study explores the effect of income inequality, poverty, and energy consumption on carbon dioxide emission in the Belt and Road Initiative countries from 1996 to 2018. By employing the generalized method of moments, the findings show that income inequality, poverty, and energy consumption significantly increase carbon dioxide emission and lead to environmental degradation, while access to electricity significantly raises environmental quality. Economic growth positively affects carbon dioxide emission; however, the environmental Kuznets curve is valid. Income inequality exerts a moderating effect on carbon dioxide emission via per capita economic growth that reduces environmental degradation in the Belt and Road Initiative countries. The results of this study give important policy implications for the Belt and Road Initiative countries.

Income inequality, educational attainment and environmental degradation: evidence from global panel

The Sustainable Development Goal (SDG) 10 focuses on combating the climate change and its effects. The inclusion of this agenda in the Sustainable Development Goals by the United Nations has shown that worsened environmental degradation is currently a major threat facing humankind. The World Commission on Environment and Development 2015 has highlighted that income inequality is one of the major causes for environmental deterioration. Hence, reducing environmental degradation requires a look at the problem of unequal income distribution. Moreover, educational attainment plays a vital role in providing relevant knowledge and skills to people in handling environmental problems. Thus, the objective of the study is to investigate the relationship between income inequality, educational attainment, and CO₂ emissions by employing a panel data analysis for a group of 64 countries from 1990 to 2016.The study uses mainly dynamic common correlated effects (DCCE) estimator to take into account the issue of cross-section dependence which has been ignored by most of the previous studies. By tackling the problem of cross-section dependence, unbiased and reliable results could be produced in estimations. Our results portray that an inverted U-shaped environmental Kuznets curve (EKC) is found to be valid. Additionally, income inequality has a negative impact on environmental degradation. Likewise, educational attainment and CO₂ emissions are revealed to be negatively correlated. The findings of the study could provide a better understanding on the root causes of environmental degradation, and further suggest remedial actions to overcome the problem.