Income Gap Research Articles

Causal relationship between educational attainment and chronic pain: A Mendelian randomization study.

Educational attainment (EA) is often used as a symbol of socioeconomic status and is associated with several diseases. However, uncertainty remains regarding the potential relationship between EA and chronic pain. This study aimed to evaluate the potential causal association between EA and chronic pain. The primary method employed in Mendelian randomization (MR) analysis was inverse-variance weighted method. Additionally, MR-Egger intercept, Cochran Q, and MR-PRESSO statistical analyses were conducted to assess potential pleiotropy and heterogeneity. The MR analysis provided evidence that genetically predicted additional education significantly reduced the risk of chronic pain. Specifically, this genetic factor may reduce multisite chronic pain by 27.6%, and chronic widespread pain by 3.8%. The results of sensitivity analysis indicated the reliability of our causal estimates. Higher levels of EA may provide protection against chronic pain risk. Enhancing education, narrowing social and economic disparities may help alleviate the burden of chronic pain.

Can China’s belt and road initiative narrow the income gap between the Han people and ethnic minority residents? Evidence from a regression discontinuity design

The Belt and Road (B&R) policy is a region-oriented economic policy implemented by the Chinese government since 2010, involving the largest population and covering the largest area in the world. Whether it can significantly narrow the income gap between Han and ethnic minority residents has not been investigated in the literature. To avoid endogenous problems in the model, we used the spatial breakpoint regression method to investigate 2,037 county-level administrative regions in China from 2014 to 2021 and empirically evaluated the impact of the policy on the income gap between Han and ethnic minority residents. Results show that, compared to the counties without B&R policy, the average income gap between minority counties with B&R and Han has increased by 1.468–1.518 times, which was nearly 1.3 times the sample mean of survey data, indicating that the income gap has been widened significantly by B&R. However, the policy has a narrowing effect on the income gap between minorities and Han in the 20% sample with the widest income gap between minorities and Han. From the dynamic effect of years, with the effect of B&R, the income gap between minorities and Han is an inverted U-shaped curve, first increasing and then decreasing.

Towards a better understanding of inequity and the psychological processes underlying the intergenerational transmission of socioeconomic status

As poverty in the U.S. is increasing and the income gap continues to rise, addressing disparities in socioeconomic status (SES) has become a national priority. This study employs the Interactionist Model, a well-established theoretical framework for examining the intergenerational transmission of SES. Specifically, using longitudinal data from a sample of 998 adolescents, 47.2% of whom are females, from diverse ethnic backgrounds, we investigated how parents' SES influences both their material and immaterial resources, and subsequently affects their offspring's SES through inhibitory control during adolescence. Our findings support an indirect effect wherein parental SES influences the SES of the next generation via parental material and immaterial investments. Additionally, we demonstrate that immaterial investments influence the next generation's SES, mediated by inhibitory control. The implications of these findings are further discussed.

Creating an Integrated System of Data and Statistics on Household Income, Consumption, and Wealth

The nation's disparate federal statistics makes it difficult to accurately measure income and wealth inequality and other aspects of economic well-being for the nation's households and families. This report provides the recommendations from a panel appointed by The Committee on National Statistics (CNSTAT) of the National Academies of Sciences, Engineering, and Medicine. The report reviews the major income, consumption, and wealth statistics currently produced by U.S. statistical agencies, provides guidance for modernizing and integrating the information to better inform policy and research, and builds on the current effort at CNSTAT to create a 21st Century Data Infrastructure to use blended data from multiple sources. In addition to providing guidance on the appropriate definitions of household, family, and individual income, consumption, and wealth, and variations in definitions that would be useful for particular purposes, the report provides suggestions for pathways forward using multiple data sources to construct a data infrastructure for income, consumption and wealth for households. The report highlights new statistics that help in measuring the disparities in income, consumption and wealth and the changes over time in both levels and inequalities, always stressing that the disparities occur both across socio-demographic characteristics and geography. The report highlights the potential for blending multiple data sources and modeling across data sources, including surveys, tax records, state and federal administrative records, and commercial data, and documents the legal and administrative barriers to creating integrated, high-quality estimates and a data infrastructure for researchers to evaluate the impacts of public policy.

Play is a privilege in both humans and animals: how our recreation influences wildlife

AbstractNature‐based tourism nets roughly 8 billion annual travelers globally to all regions of Earth, with many visiting around 200,000 formally protected areas. Financially well‐off tourists pay for playful activities and effects on wildlife are potentially large and relatively uncertain. Our commentary makes 3 points. First, variation in resource privileges and associated benefits characterizes not only humans but other species. Among animals, well‐nurtured populations engage in more playful and leisurely activities than do those nutritionally impoverished. Privilege depends partially on birth sites, parents, and local conditions, but for humans recreation expands with monetary advantage. Second, nature‐based tourism has 2 generalizable effects on wildlife, each involving degree of habituation. Among non‐habituated populations, local site abandonment is frequent and modulated by seasonality, individuals' physiological states, and whether recreation is motorized or not. For habituated populations, tolerance emerges to increasing recreational exposure with some populations of species learning to rely on humans to shield as a buffer against possible predation. Third, desert bighorn sheep (Ovis canadensis nelsoni) offer a robust example of the issues surrounding the effects of tourism on wildlife because of the geographically complicated relationship between recreational pursuit and wildlife on public lands of the western United States. While protected for decades, females have failed to habituate to different forms of recreation at certain sites. The result has been flight or site abandonment. Biodiversity protection at numerous scales has made strong gains but is still needed where progress is stymied by income disparities, privilege, and increasing recreation ventures.

Public interest or individual benefit: biased perception toward Chinese redistributive policies

PurposeRedistributive policies aim to reduce income disparities and improve social equity. This study investigates whether redistributive effects that successfully diminish objective income inequality also effectively alter people’s perceptions of inequality.Design/methodology/approachUtilizing data from the 2018 China Household Income Survey (CHIP), comprising 56,167 individuals, this study applies ordered probability regression (Oprobit) and ordinary least squares (OLS) for analysis. To address potential biases in estimates, we employed the generalized propensity score matching (GPSM) method to estimate the treatment effect of transfer income on perceptions of inequality.FindingsThe results indicate that while China’s redistribution policies effectively reduce income disparities, they do not improve perceptions of inequality. Individuals exhibit biased attitudes toward redistributive policies. Specifically, perceptions of inequality are insensitive to the overall redistributive effect; the relationship is negative among the poor but positive among the rich. This contradictory pattern may be attributed to perceived income losses among the rich and gains among the poor.Social implicationsThe findings have important implications for policy development. Redistribution policies should not only aim to mitigate income disparities but also address and improve people’s perceptions of inequality.Originality/valueExisting literature has largely overlooked the impact of redistribution on perceived income inequality. This study represents an early effort to explore whether redistributive policies that reduce income inequality also influence people’s perceptions of inequality.

Transcending boundaries on unequal ground: A critical reimagination of global North-South cooperation on social work practice and the Sustainable Development Goals

Using collaborative autoethnography, this article encapsulates the rich discourse that unfolded during a symposium titled: "Human Rights, The Sustainable Development Goals and Social Work Practice in Germany and Africa". The symposium was a testament to the collaborative synergy between Fachhochschule Dortmund in Germany, Midlands State University (MSU) in Zimbabwe, the University of Johannesburg, and the University of KwaZulu-Natal (UKZN) in South Africa. This scientific event was an academic convergence where researchers and postgraduate social work students shared research, experiences and insights from the Global North and South, offering a mosaic of perspectives on critical issues. It illuminated shared challenges that transcended geographical boundaries. Poverty, climate change, and social injustice were common but contextually unique across the three countries. In this paper, we employ critical and world systems theories to reflect on the symposium. The discussions and reflections underscore social work's strategic position to inform context-specific anti-poverty, climate change discourse, anti-racism and collaborative efforts to combat economic disparities. This paper encourages the power of sustainable partnerships, dialogue, and shared learning across geographical and socio-economic boundaries. Collaborative efforts between Global North and South universities provide a platform for cross-cultural learning and mutual capacity building amongst postgraduate students.

The impact of pensions on the income gap among the elderly: the case of Taiwan’s National Pension

ABSTRACT In most countries, first-pillar public pension systems provide comprehensive coverage for all citizens. By contrast, Taiwan’s unique National Pension (NP) is a compulsory, defined-benefit pension insurance that covers citizens excluded from occupation-based social insurance. As such, the NP inevitably includes disadvantaged citizens in its coverage. Using NP administrative data to link labour insurance, social welfare allowance, and income tax, we find that the NP narrows the pension benefit gap between the disadvantaged and the non-disadvantaged. The narrowing effect is stronger for the younger than for the older generation. Furthermore, the NP enhances pension benefits for women more than for men, thereby narrowing the difference in pension benefits between the sexes. As expected, the NP is more important for low-income citizens than for their wealthy counterparts.

Beyond environmental sustainability: Low‐carbon land use policies can contribute to the realization of comprehensive sustainable development

AbstractIn the context of climate change and sustainable development, there has been numerous researches studying the influence of land use policies on carbon sequestration. However, most of them focus on specific experimental area to explore the impact of land use policies on carbon fixation, or their impacts on a certain aspect, lacking the comprehensive explanation of both the internal influence mechanism and external effects. Therefore, this article presents a comprehensive review and the results show that scientific land use policies have the capacity of increasing net carbon sinks and soil organic carbon to realize environmental sustainability. In addition, these low‐carbon land use policies can not only bring out this climate change mitigation influence, but also have external effects on cities sustainable development, food security, ecological protection, and economic disparities to promote comprehensive sustainable development. However, if these policies fail to adapt to local natural and socio‐economic conditions, or overlook the potential negative impacts they could pose, these policies cannot facilitate the achievement of comprehensive sustainable development and could even impede this progress.

Challenges in Managing Diabetes in Ghana: Healthcare Infrastructure, Access, and Education

This review discussed the multifaceted challenges of managing diabetes in Ghana, focusing on healthcare infrastructure, access to care, and public education. The article highlighted the uneven distribution of healthcare facilities, resource shortages, and workforce limitations as significant barriers to effective diabetes care. It also examined the geographic and economic disparities that hinder access to medical services, particularly in rural areas. Furthermore, the review delved into the critical role of public education, emphasizing the impact of low awareness, cultural misconceptions, and inadequate health campaigns on diabetes management. The methodology used involved analyzing existing literature and reports on healthcare challenges in Ghana to provide a comprehensive overview of the current situation. The article was concluded by identifying opportunities for improvement, including expanding outreach programs, leveraging technology, strengthening healthcare infrastructure, and fostering community involvement and government-NGO collaboration to enhance diabetes management in Ghana. Keywords: Diabetes Management, Healthcare Infrastructure, Access to Care, Public Education, Ghana.

Effect of Non-Farm Income on Income Inequality in Pakistan

The portion of farm households' income outside the farm, such as non-farm salaries and wages, pensions, and interest income, is referred to as non-farm income. In Pakistan, non-farm profit is an essential source of income. "income inequality" describes the inequitable income distribution between people or families in a community or economy. Income inequality is a significant issue worldwide, including in Pakistan. This research estimated the effect of non-farm income on rural and urban areas and analyzed the relationship between non-farm income and income inequality within households. Secondary data from the Pakistan Social and Living Standard Measurement Survey Household data (2019-20) was used. Multinomial Logistic Regression was applied to the data, and income inequality was calculated using the Gini coefficient. The population was divided into quartiles to measure income distribution. The research found that non-farm income raises income inequality, while farm income is an income equalizer among the population. The reason behind this is that a major portion of income or wealth is accessed by the upper society, with only a minor portion reaching the lower levels of the population. Specifically, the Gini coefficient for non-farm income was 0.65, indicating higher inequality, compared to 0.45 for farm income. In urban areas, non-farm income provides large opportunities, while rural areas predominantly depend on the farm sector. There is a need to raise awareness about the non-farm sector in rural sector. The study's policy implications include the following: In order to improve agricultural households' income and low-income disparity, non-farm income activities have to be promoted. The study also suggests that Inequalities within rural communities should be addressed as part of an equal development strategy, in addition to the rural-urban gap.

Analysis of Technical Efficiency of Fertilizer Subsidy Program in Coffee Farming, A Case study of Kenya

Fertilizer subsidy program is used to boost productivity by availing fertilizer to farmers at a cheaper price than the market price. This research sought to determine the technical efficiency of fertilizer subsidy program on coffee farming in Kenya. Coffee is a major cash crop of small-scale farmers, which has been experiencing declining productivity. The study adopted non-experimental cross-section research design. The study was carried out in Mukurwe-ini Sub-County, in Nyeri country, Kenya. Structured questionnaire were used to collect primary data from coffee farmers. Stochastic frontier production function (SFA) was used to evaluate the technical efficiency of coffee farming by analysing the relationship between coffee inputs and outputs. The SFA results revealed that fertilizer subsidy has a significant effect on technical efficiency. The technical efficiency for the individual farmers was found to range between 10.44% and 95.15% with a mean of 77.87%. The results revealed that about 76% of the coffee farmers were operating above 70 percent or more technical efficiency levels. Additionally, about 94% of the coffee farmers were operating at a technical efficiency level of above 50%. The coffee cooperative societies had variance in their technical efficiency - Rumukia at 80.65%, Ruthaka at 76.12%, Rugi at 79.97% and Gikaru at 79.24%. Technical inefficiency was found to be significantly influenced by age of the farmers and cooperative societies’ management. The study recommends development of inclusive policies that address income disparities among coffee farmers, improvement of cooperative societies’ management, and enhancing farmers’ trainings

The influence of socioeconomic status on individual attitudes and experience with clinical trials

BackgroundCharacterizing perceptions of clinical trials among the socioeconomically disadvantaged is necessary for understanding how social determinants of health such as socioeconomic disparities in education and income can affect people’s awareness of and exposure to clinical trialsMethodsA survey was distributed in spring 2023 among a survey taking sample stratified by demographic variables to reflect the U.S. population. The survey assessed the socioeconomic status of the respondent and related covariates, as well as outcome measures including interest in joining a clinical trial, concerns relating to participation, and whether the respondent had previously been asked to participate. Multiple and logistic regression were used to assess the relationship between predictor and outcome variablesResultsHere we show the results of outcome measures regressed on main predictors related to socioeconomic status and related demographic predictors. Education, employment status, insurance coverage, and English proficiency were significant predictors of interest in clinical trial participation. Education and the presence of a healthcare professional or former clinical trial participant in the respondent’s personal network were significant predictors of whether the respondent had previously been asked to participate in a clinical trialConclusionsThe results of the analysis reveal how socioeconomically vulnerable groups, including those from low income and low education groups, are being excluded in clinical research. Analyses also uncovered the impact of clinical trial social influence—the presence of having a family or friend in one’s social network who participated in a clinical trial—on willingness to participate and exposure to clinical trials.

Blending Human-Centred Design and Community-Based Participatory Action Research Approaches: Designing Community Sport and Recreation Provisions for Equity-Owed Communities

Addressing the social and economic disparities equity-owed low-income residents experience that prevent participation in community sport and recreation is complex. Community-based participatory action research (CBPAR) has been utilized to facilitate the participation of equity-owed communities in sport and recreation initiatives. However, in this paper, we discuss how CBPAR and human-centred design (HCD) help engage communities in discourse and action to support innovative social change in the context of sport and recreation for equity-owed low-income communities. This paper compares processes, core principles, and outcomes of CBPAR and HCD. It highlights how they can collectively drive discourse and action to foster innovative social change in sport and recreation for equity-owed communities. The proposed integration, called CBPAR+HCD, is suggested to initiate solutions that address the multifaceted challenges through a social justice lens, placing community-driven social innovation at the forefront. This paper highlights the benefits of combining CBPAR+HCD and acknowledges the inherent challenges in implementing this dual approach. Furthermore, it offers recommendations to support the combined approach, emphasizing the importance of this integrated methodology in promoting social change and addressing inequities within community sport and recreation initiatives.

Emergence of economic and social disparities through competitive gift-giving

Several tiers of social organization with varying economic and social disparities have been observed. However, a quantitative characterization of the types and the causal mechanisms for the transitions have hardly been explained. While anthropologists have emphasized that gift exchange, rather than market exchange, prevails in traditional societies and shapes social relations, few mathematical studies have explored its consequences for social organizations. In this study, we present a simple model of competitive gift-giving that describes how gifts bring goods to the recipient and honor to the donor, and simulate social change. Numerical simulations and an analysis of the corresponding mean-field theory demonstrate the transitions between the following four phases with different distribution shapes of wealth and social reputation: the band, without economic or social disparities; the tribe, with economic but without social disparities; the chiefdom, with both; and the kingdom, with economic disparity and weak social disparity except for an outlier, namely, the “monarch”. The emergence of strong disparities is characterized by power law distributions and is attributed to the “rich get richer” process. In contrast, the absence of such a process leads to exponential distributions due to random fluctuations. The phases depend on the parameters characterizing the frequency and scale of gift interactions. Our findings provide quantitative criteria for classifying social organizations based on economic and social disparities, consistent with both anthropological theory and empirical observations. Thus, we propose empirically measurable explanatory variables and characteristic indices for the evolution of social organizations. The constructive model, guided by social scientific theory, can provide the basic mechanistic explanation of social evolution and integrate theories of the social sciences.

The impact of the digital economy on quality of life: empirical evidence from 220 cities in China

Purpose The purpose of this paper is to test if the digital economy improves the quality of life of our residents. Furthermore, if this finding is confirmed, what would be the mechanism behind its effect? Does the impact of the digital economy on quality of life vary according to its level of development? Design/methodology/approach A comprehensive index of the digital economy, income gap and quality of life was constructed empirically based on data from 220 cities in China from 2011–2020. A multi-dimensional empirical analysis was conducted in this paper. Findings The analysis of the pathways of action shows that narrowing the income gap is an important mechanism through which the digital economy actively contributes to the quality of life. The results of the threshold model show that the “marginal effect” of the digital economy on quality of life is non-linear and increasing. The results show that after a series of robustness tests, including instrumental variables, the digital economy still significantly enhances people’s quality of life. Research limitations/implications This paper reveals the intrinsic link between the digital economy and quality of life and provides a theoretical basis for further improving people’s well-being. Practical implications Encouraging the development of the digital economy is a useful way to improve the quality of life by narrowing the income gap. Originality/value Data analysis of the digital economy from 2011–2020 in China to get an insight into what would be the mechanism behind the digital economy improving the quality of life of our residents.

Economic Causes of Rural-to-Urban Migration in Karnali Province of Nepal

Migration is a natural phenomenon that is influenced by social, economic, political, geographic, and environmental factors. The main objective of this study is to identify the economic causes of rural-to-urban migration in Karnali province of Nepal. The study was conducted to test the research instrument so it took 40 respondents from the total 400 samples to test the readability and understandability of the survey questionnaire. The study was based on the quantitative data. It was a cross-sectional study. The simple random sampling technique was used to select the respondent. Crosstab, Chi-square test, and t-test were done to analyze the quantitative data. The result shows that the average mean value of each statement was a minimum of 3.7 to a maximum of 4.1 which is close to the ‘Agree’. Overall, the total mean score for economic causes of rural-to-urban migration is 3.9625, indicating that respondents perceive these factors as moderately to highly significant drivers of migration. This underscores the complex interplay of economic factors in shaping migration decisions, highlighting the importance of addressing economic disparities between rural and urban areas to mitigate migration pressures and promote balanced regional development. Further study can be done to identify the economic changes in migrant family in between before and after rural-to-urban migration.

Underestimating the Pandemic: The Impact of COVID-19 on Income Distribution in the U.S. and Brazil

The COVID-19 pandemic has exposed individuals to various risks, including job loss, income reduction, deteriorating well-being, and severe health complications and death. In Brazil and the U.S., as well as in other countries, the initial response to the pandemic was marked by governmental underestimation, leading to inadequate public health measures to curb the spread of the virus. Although progressively mitigated, this approach played a crucial role in the impacts on local populations. Therefore, the principal aim of this paper is to evaluate the impact of COVID-19 and, indirectly, of the policies adopted by the U.S. and the Brazilian governments to prevent pandemic diffusion on income distribution. Utilizing available microdata and employing novel econometric methods (RIF-regression for inequality measures) this study shows that growth in COVID-19 prevalence significantly exacerbates economic disparities. Furthermore, the impact of COVID-19 on inequality has increased over time, suggesting that this negative impact has been intensifying. In the U.S., results indicate that working from home, the inability to work, and barriers to job-seeking significantly increase inequalities. Although further data are necessary to validate the hypothesis, this preliminary evidence suggests that the pandemic has significantly contributed to increased inequality in these two countries already characterized by increasing polarization and significant social disparities.

Impact of Social Determinants of Health on Health-Related Quality of Life Among Cancer Survivors in the United States.

Purpose : Health-related quality of life (HRQoL) is a critical aspect of cancer survivorship, influenced by various social determinants of health (SDoH) such as economic stability, education access, and healthcare coverage. Understanding the impact of these determinants is essential for developing interventions that improve the well-being of cancer survivors. Methods : Cross-sectional analyses were conducted using data from 20,534 adults with cancer, including 15,754 from the All of Us (AOU) Research Program (2015-2024) and 4,780 from the National Health and Nutrition Examination Survey (NHANES) (2001-2018). HRQoL outcomes were assessed across multiple dimensions: physical health, mental health, emotional well-being, social support, functional ability, and physical activity. Results : Higher economic stability, education access, and healthcare coverage were significantly associated with better HRQoL outcomes in both cohorts. In the AOU cohort, those with higher family income were more likely to report very good (OR: 20.24; CI: 12.86-31.87) or excellent (OR: 33.06; CI: 20.01-54.64) quality of life. Similar trends were observed for physical and mental health. The NHANES cohort showed consistent findings. Participants with no negative SDoH factors were significantly more likely to report excellent outcomes across all HRQoL dimensions. Conclusions and Implications for Cancer Survivors : These findings highlight the significant impact of SDoH on cancer survivors' HRQoL and support the need for targeted interventions and policies to mitigate the adverse effects of negative SDoH factors. Addressing economic, educational, and healthcare disparities is crucial for improving the long-term health and quality of life of cancer survivors.

Methodological approaches in developing and implementing digital health interventions amongst underserved women.

Minority populations are utilizing mobile health applications more frequently to access health information. One group that may benefit from using mHealth technology is underserved women, specifically those on community supervision. Discuss methodological approaches for navigating digital health strategies to address underserved women's health disparities. Using an intersectional lens, we identified strategies for conducting research using digital health technology and artificial intelligence amongst the underserved, particularly those with community supervision. We explore (1) methodological approaches that combine traditional research methods with precision medicine, digital phenotyping, and ecological momentary assessment; (2) implications for artificial intelligence; and (3) ethical considerations with data collection, storage, and engagement. Researchers must address gendered differences related to health, social, and economic disparities concurrently with an unwavering focus on the protection of human subjects when addressing the unique needs of underserved women while utilizing digital health methodologies. Women on community supervision in South Central Texas helped inform the design of JUN, the mHealth app we reported in the case exemplar. JUN is named after the Junonia shell, a native shell to South Texas, which means strength, power, and self-sufficiency, like the participants in our preliminary studies.