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This paper critically examines the claim that Utah is "the most sexist state" in the United States, as suggested by a WalletHub report ranking it lowest in "Women's Equality." Utilizing an economic analysis from the Austrian School perspective, this study scrutinizes the data, metrics, and conclusions of reports by the Utah Women & Leadership Project (UWLP). The analysis focuses on distinguishing statistical disparities from sexism, proposing that observed gender inequalities in Utah are largely influenced by cultural and economic factors, particularly the state's high marriage rate and traditional gender roles. Contrary to the notion that sexism predominantly drives gender disparities, the paper argues that personal choices and subjective value theory play significant roles in shaping these outcomes. The study highlights the importance of considering cultural context, individual preferences, and the marital asymmetry hypothesis when interpreting gender-related data, challenging the assertion that Utah's gender disparities are primarily due to sexist attitudes. The findings suggest that Utah's gender gaps in areas such as income and workforce participation are more accurately attributed to the state's unique cultural and economic landscape rather than pervasive sexism. [ABSTRACT FROM AUTHOR]

This study contributes to income equality (IE) literature by examining four important issues. First, the study examines the effects of foreign bank presence (FBP) on IE. Second, the paper identifies the minimum threshold level of FBP which can lead to IE. Third, the effect of economic freedom on IE was investigated. Fourth, the paper determines whether economic freedom interacts with FBP to minimise IE. The findings are based on macro data for 33 African countries from 1995 to 2020. The findings from the two-stage system generalised method of moment indicate that unconditionally, FBP reduces income inequality. Also, results from the threshold effect reveal that whilst FBP reduces income inequality, if it exceeds 52%, it may contribute to it. Additionally, the study reveals that economic freedom dampens IIE. Furthermore, economic freedom conditions FBP to reduce IE. Based on these findings, policymakers are advised to exercise caution in attracting foreign banks and to promote local financial institutions. Policymakers are also advised to implement policies to promote economic freedom. [ABSTRACT FROM AUTHOR]

This paper systematically analyzes the spatiotemporal evolution trends and macroeconomic driving factors of farmland transfer at the provincial level in China since 2005, aiming to offer a new perspective for understanding the dynamic mechanisms of China's farmland transfer. Through the integrated use of kernel density estimation, the Markov model, and panel quantile regression methods, this study finds the following: (1) Farmland transfer rates across Chinese provinces show an overall upward trend, but regional differences exhibit a "U-shaped" evolution characterized by initially narrowing and then widening; (2) although provinces have relatively stable farmland transfer levels, there is potential for dynamic transitions; (3) factors such as per capita arable land, farmers' disposable income, the social security level, the urban‒rural income gap, the urbanization rate, government intervention, and the marketization level significantly promote farmland transfer, while inclusive finance inhibits transfer, and agricultural mechanization level and population aging have heterogeneous impacts. Therefore, to achieve convergence of low farmland transfer regions to medium levels while promoting medium-level regions to higher levels, it is recommended that the government increase support for agricultural mechanization, increase farmers' income and social security levels, and optimize marketization processes and government intervention strategies. The main contributions of this paper are (1) systematically revealing the spatiotemporal evolution patterns of China's farmland transfer and (2) employing panel quantile regression methods to explore the heterogeneous impacts of driving factors, providing more precise and detailed empirical support for the government's formulation of farmland transfer policies. [ABSTRACT FROM AUTHOR]

This study utilizes data from A-share listed companies between 2011 and 2020 to empirically investigate the impact and mechanism of public welfare donations on the internal income gap of enterprises. The research findings indicate that public welfare donations significantly increase the per capita salary of management, while their impact on the per capita salary of ordinary employees is not significant, thus leading to an expansion of the internal income gap within enterprises. The results from mechanism testing reveal that the income tax benefits resulting from charitable donations and the rise in corporate operating income have contributed to an increase in excess rent shared by enterprises and employees. Due to a stronger bargaining power, management shares more excess rents, thereby widening the income gap within the enterprise. Heterogeneity analysis demonstrates that public welfare donations have a greater impact on the internal income gap of non-state-owned enterprises; however, limiting executive compensation and enhancing employees' bargaining power can mitigate this widening effect caused by public welfare donations on enterprise's internal income gap. The research value of this study is threefold. Firstly, there is a scarcity of studies on the impact of public welfare donations on the income gap within enterprises, and this study contributes to enriching the research in this area. Secondly, this paper examines the effect of tax incentives for public welfare donations on the internal income gap of enterprises, thereby deepening the research on the impact of tax reduction and fee reduction, as well as expanding our understanding of corporate income tax preferential policies. Thirdly, it offers insights into improving enterprise compensation systems and enhancing corporate governance. Senior executives can potentially allocate more excess rent through their strong bargaining power. If their compensation remains unrestricted, it may lead to a widening internal income gap and negatively affect company operational efficiency. [ABSTRACT FROM AUTHOR]

This paper investigates the impact mechanism by which an incentive-based fertility policy may reduce the labor income share. First, the specific paths through which this impact mechanism is realized are analyzed using the production function. It is found that an incentive-based fertility policy triggers high savings, which implies more, cheaper, and more readily available capital to be invested in production. A distribution system that earns income based on factor contributions results in more gains for capital than labor, i.e., a lower share of labor income and a wider income gap between labor and capital. Second, the impact mechanism includes three theoretical hypotheses. They are that an encouraging fertility policy is negatively related to labor income share; this relationship is valid provided that the study subject is in a closed economy; and that capital intensification is a mediator variable of fertility policy affecting labor income share. Finally, to further corroborate the impact mechanism in this paper, a Hansen threshold panel model is applied to verify that the effect of fertility policy on labor income share has a threshold effect. This indicates that the effect of the former on the latter changes significantly before and after the change in fertility policy, confirming the existence of an impact mechanism. The established literature has paid little attention to the impact of incentivised fertility policies on the labour income gap. Using capital intensification as the mediating variable, this paper demonstrates the existence of the former effect on the latter. In view of this, under the encouraged fertility policy, this paper proposes specific measures to enhance the labor income share in order to narrow the income gap between labor and capital. [ABSTRACT FROM AUTHOR]

Human capital is a nation's primary source of inner strength to achieve sustainable economic growth and development. Meanwhile, income inequality is a critical issue preventing sustainable economic growth and social transformation, especially in developing countries. This paper investigates the effect of human capital on income inequality in both the short and long term using the mean group, pooled mean group, and threshold regressions for the ASEAN-7 (including Indonesia, Laos, Malaysia, the Philippines, Singapore, Thailand, and Vietnam) from 1992 to 2018. The paper develops a theoretical linkage between human capital and income inequality by combining the learning theory and the Kuznets hypothesis. This linkage is then tested using data from the ASEAN countries. Findings from the paper indicate that human capital reduces income inequality in the short run in the ASEAN countries. However, the effect is reverted in the long run, suggesting that human capital may increase the income gap in these countries. Particularly, the inverted U-shaped relationship between human capital and income inequality is established for the ASEAN countries whose GDP per capita is lower than USD 8.2 thousand per year. In contrast, the U-shaped relationship is found for the countries with income per capital of more than USD 8.2 thousand. All these findings suggest that social policies targeting reducing income inequality should be prioritized and stay at the centre of any economic policies to achieve sustainable economic growth and development in the ASEAN countries. [ABSTRACT FROM AUTHOR]

To explore whether digital finance can reduce agricultural carbon emissions, promote regional convergence, and foster inclusivity in rural revitalization and shared prosperity, this paper uses the provincial-level index of digital financial inclusion to analyze the impact of digital financial inclusion on the intensity of agricultural carbon emissions and the Degum Gini coefficient (D-Gini coefficient) of regional carbon emission intensity in 30 sample provinces from 2010 to 2020. It examines the mechanism of the impact of digital financial inclusion on both variables to understand the underlying factors better. The main conclusions are as follows: (1) Digital financial inclusion significantly reduces the intensity of agricultural carbon emissions and narrows the gap in carbon emission intensity between regions. (2) The unconditional quantile regression coefficients show that the negative coefficients of the digital financial inclusion index and the three-dimensional indices decrease with increasing quantiles. However, the significant effects vary significantly at different quantiles. (3) Technological progress and the government's ability to allocate financial resources play a significant mediating role, and the income gap between urban and rural areas can be further narrowed, as well as the carbon emission intensity gap between provinces. The empirical results are robust and proven by replacing the econometric analysis method, changing the core variables, and other methods. [ABSTRACT FROM AUTHOR]

This paper explores the complex relationship between energy poverty and the maintenance of democratic values within the European Union (EU), suggesting that energy poverty not only impacts economic stability and health outcomes but also poses significant challenges to democratic engagement and equity. To measure energy poverty, a composite index is developed using the entropy method, which surpasses traditional measures focused solely on access to energy or its developmental implications. To assess the level of democratic governance in EU countries, the voice and accountability index (VEA), which is part of the World Governance Indicators compiled by the World Bank, is utilized. By analyzing EU data from 2006 to 2022, the findings suggest that a 1% improvement in VEA quality, represented by a coefficient of 0.122, is correlated with a notable improvement in the energy poverty index. This suggests that the EU should focus on enhancing transparency and public participation in energy decision-making, along with ensuring accountability in policy implementation. The research also differentiates between full and flawed democracies, noting that tailored approaches are needed. In full democracies, leveraging economic prosperity and trade is crucial due to their significant positive impacts on the energy poverty index. In contrast, in flawed democracies, enhancing governance and accountability is more impactful, as evidenced by a higher coefficient of 0.193. Strengthening legal and regulatory frameworks, improving regulatory quality, and ensuring public engagement in governance could substantially mitigate energy poverty in these contexts. In addition, this paper demonstrates that this relationship is influenced by factors such as income inequality, energy intensity, and trade openness. [ABSTRACT FROM AUTHOR]

Digitization is becoming the key to achieving rural revitalization, and there is a complex inter-active relationship with farmer enrichment, and agriculture development, making it highly valued by governments around the world. Quantitatively evaluating the symbiotic relationship between rural digitization, farmer enrichment, and agricultural development, and reveal the driving mechanism behind them, which can provide evidence for the rural government, agricultural enterprises, and relevant stakeholders. This paper conducts an empirical study of 84 digital village national pilots in China based on coupling coordination model and geographically weighted regression, with focus on the spatial characteristics, symbiotic relationship and driving mechanisms of the pilots. The symbiotic relationship between rural digitization, farmer enrichment, and agriculture development has significant heterogeneity, with most of the pilots in coordination state. The driving mechanism of rural digitization, farmer enrichment, agriculture development, and symbiotic relationship were complicated, with significant heterogeneity and synergy in the driving forces of different factors, and special attention should be paid to spatial effects (the nature and intensity of regression coefficients in local regions) in the policy design and implementation. It is worth noting that population aging mainly plays a negative role, while industrialization, government support, resident capacity plays a positive role. The other factors play both positive and negative roles. Income gap between urban and rural residents, population aged 65 and above, financial self-sufficiency are the most critical factors. We suggest developing differentiated management policy, accurate management policy, and integrated management policy, which can provide a basis for digital village and smart village planning, construction and management in China. In view of the significant differences in rural digitalization and its driving mechanisms in different pilots as shown in the study, it is necessary to design differentiated spatial policies according to local conditions, to design accurate management policies based on the driving effects of key single factors, and to design integrated development policies by taking into account the interactive effects of multiple factors. [ABSTRACT FROM AUTHOR]

In a 2003 article, Karl Moene (University of Oslo) and Michael Wallerstein (Yale University) demonstrated that wealthier citizens tend to support higher spending in social policies directed at the unemployed, while preferring lower spending in policies aimed at the employed. This paper reveals that these findings hinge on two key assumptions: that citizens have a coefficient of relative risk aversion (CRRA) greater than one, and that all citizens face an equal probability of job loss—a presumption which is not necessarily realistic. By incorporating the observation that job security tends to correlate positively with income, we demonstrate that affluent individuals may still advocate for reduced spending in unemployment policies, even when their CRRA exceeds one. Moreover, a significant shift in the distribution of job security—such as during an abrupt economic crisis—might engender greater societal support for these policies, contrary to their previous research. Finally, empirical data from recent Brazilian history provide analytical support for the theoretical assertions presented herein. [ABSTRACT FROM AUTHOR]

There exists a vast empirical literature on Financial Sector Development (FSD) and the income inequality nexus; however, it lacks consensus. To study this, 24 studies with 87 regression estimates on financial institution depth and income inequality were collected. This paper used the most common method of economic meta-analysis, the Partial Correlation Coefficient (PCC), to answer the question: What is the magnitude and impact, if any, of financial institution depth on income inequality? In addition, a multivariate meta-regression model was used to find moderator variables that produced mixed results in the literature. The results show that the global average comovement of financial institution depth (domestic credit) on income inequality is very small but positive; suggesting that growth in domestic credit may widen income inequality. The positive correlation between domestic credit and income inequality highlights how financial institutions use household income and collateral as a signal when deciding on credit applications. Finally, the multivariate regression results suggest that the present heterogeneity within the literature stems from different methodologies and control variables included in the econometric models, and panel studies that mix countries with heterogeneous characteristics. These suggest that different components of FSD may impact income inequality differently [ABSTRACT FROM AUTHOR]

This paper investigates the long-run equilibrium relationship between economic growth and income inequality while documenting the structural transformation of the Romanian economy over the period 1990–2020. First, we examine the structural changes that have accompanied economic development and the historical trend of income inequality to better understand the mechanism connecting inequality and growth. Second, we study the long-term relationship between income inequality and economic development in the framework of the Kuznets hypothesis, using the ARDL bounds testing procedure for cointegration. Data for income inequality come from the most recent revisions of the World Inequality Database. The empirical findings support a nonlinear long-run relationship between income inequality and GDP per capita. The left half of an inverted U-shaped curve is revealed by the data, but the right half is not yet clearly outlined. We also find that the service-driven structural transformation experienced by Romania underlies this pattern. There is an inverted U-shaped relationship between inequality measures and services employment share. Overall, several stylized empirical facts are pointed out regarding the structural changes and the level of development of the Romanian economy, which can be seen as prerequisites of the transition to the right half of the inverted U-shaped curve. [ABSTRACT FROM AUTHOR]

Occupational choice models predict that, ceteris paribus, countries with higher dispersion of skill will have higher market labour income inequality. However, an extended conclusion from empirical research is that cross-country variations in dispersion of skill explain little of the variation in income inequality. This paper identifies factors related to production and organization technologies that moderate the relationship between dispersion of skill and dispersion of income in occupational choice equilibrium outcomes and that, if not properly accounted for, can bias the results of the empirical studies that explain dispersion of income as a function of dispersion of skill. In particular, comparing equilibrium outcomes from occupational choices in economies that differ in the distribution of skill and in the efficiency of supervision hierarchies, the paper can explain why the US and Sweden have similar labour productivity, but income inequality is higher in the US than in Sweden, and why productivity is lower and income inequality is higher in Spain than in Sweden. [ABSTRACT FROM AUTHOR]

This paper examines the relationship between income inequality and consumption, utilizing panel data from rural China over a span of four years to validate the application of relative income theory in the domain of food consumption. Food consumption represents a significant portion of expenditures for the low-income demographic and is of vital importance to China's food security and agricultural development. To ascertain the impact of income inequality on food consumption, this paper employs a bi-directional fixed-effects model, a mediation effect model, and machine learning causal analysis methods. Utilizing four years of rural resident survey data from the China Health and Nutrition Survey database, the study empirically tests the effect of income inequality on various types of food consumption, the channels through which it operates, and the heterogeneity among different income groups and educational backgrounds. The findings indicate that (1) income inequality within rural communities positively influences food consumption, and this conclusion remains robust under endogeneity treatment and robustness checks, positively affecting the transformation of food consumption and healthy intake; (2) income inequality among rural residents promotes food consumption through two mediating channels: the "demonstration effect" and the "ratchet effect;" (3) the impact of income inequality on food consumption exhibits heterogeneity among rural residents of different income levels and educational backgrounds. [ABSTRACT FROM AUTHOR]

Based on the data of China Family Panel Studies (CFPS), this paper decomposed Chinese residents' income into labor income and capital income by income source, and measured the income inequality and income composition inequality of Chinese residents during 2010–2018. We take the Gini coefficient as a measure of inequality and, by decomposing it by income source, analyze the absolute and relative marginal effects of capital income and labor income on the overall income inequality. On this basis, this paper discusses the redistributive effect of financial instruments such as personal income tax and transfer payment on income inequality and income composition inequality. The results show that capital income is not only the main driving factor for the increase of overall income inequality, but also its influence on inequality is gradually increasing. The results of the redistribution effect of fiscal instruments show that although individual income tax and transfer payment both help to reduce the overall income inequality, only individual income tax can reduce the inequality of income composition, while transfer payment will exacerbate it. In the background of the rising share of capital income, it may widen the income distribution gap in the long run. Hence, future fiscal redistribution efforts should consider the income composition inequality. This includes further promotion of individual income tax reforms, optimization of the tax rate structure, enhancement of relevant tax laws governing capital income like property income, and continuous improvement in the redistributive impact of fiscal instruments. [ABSTRACT FROM AUTHOR]

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The COVID-19 pandemic laid bare many of societies' existing social and economic inequalities, one of which is illustrated in the challenges facing food and farm workers across the food chain. Despite this upsurge in public recognition, the circumstances facing food and farm workers remain unchanged, and this lack of action is reflected within the work of food systems-focused civil society organizations (CSO) in Canada. Several authors have noted the lack of recognition of labor issues within food systems work. This paper further explores the nature of this disengagement, particularly in food systems governance work, and identifies barriers to more meaningful engagement and possible avenues to overcome these challenges. Findings draw from a set of 57 interviews conducted from 2020 to 2023 with a range of food system CSO representatives across Canada, examining their understanding of, and engagement in, food systems governance work and their involvement in labor issues (or lack thereof). The paper concludes that though there exists widespread awareness of the challenges facing food and farm workers, and a desire to engage in a more sustained fashion, many food system CSOs have not yet found the tools or pathways to do so on an organizational level. Several discursive openings are identified that offer an opportunity to leverage the heightened awareness of food and farm workers during the pandemic into concrete collective action. [ABSTRACT FROM AUTHOR]

Economic zones can be powerful drivers of economic growth in developing countries. However, less is known about their distributional impact on the local society. This paper provides empirical evidence from Indonesian provinces on the relationship between economic zones and within-province income inequality. We apply fixed-effects panel estimation to province-level data for the whole of Indonesia, which we then complement with separate studies on the opening of three economic zones in three provinces using the synthetic control method. The results suggest that the above relationship is positive overall. The estimated rise in income inequality after a zone opens is, however, relatively small on average and may be short-lived. Moreover, the average estimate masks large regional differences, which suggests that the inequality implications of economic zone policies depend on local conditions. One possible explanation for the rise in inequality is that the unskilled population benefits disproportionately less from the policy. [ABSTRACT FROM AUTHOR]

This paper methodically investigates the influence of inclusive income growth on city size, examining it through the dual lenses of "income" and "distribution." The analysis leverages meticulously collected panel data encompassing 276 Chinese cities at the prefecture level and above, spanning the period from 2005 to 2019. Theoretical analysis indicates that the effect of city size expansion on per capita income adheres to a 'U'-shaped trajectory, while its influence on the urban-rural income gap manifests an 'inverted U' pattern. Moreover, the inclusive income growth stemming from city size demonstrates notable heterogeneity across various geographic locations and city hierarchies. The findings reveal that human capital serves as the primary mechanism through which city size influences inclusive income growth. After decomposing the income inclusiveness index, it becomes evident that the expansion of city size exerts a more potent direct driving effect on the income of urban residents. On the one hand, city size expansion directly increases rural residents' income levels by improving labor productivity. On the other hand, it facilitates leapfrog income development by inducing the rural labor force to move to cities. [ABSTRACT FROM AUTHOR]

This paper examines how the ECB's expansionary monetary policy affects income inequality in 10 euro area countries over the period 1999–2014. We distinguish two channels—labor‐market and financial—through which monetary policy can have distributional effects. The labor‐market channel is captured by wages and employment and the financial channel by asset prices and returns. We find that expansionary monetary policy in the euro area reduces income inequality, especially in the periphery countries. The labor‐market channel enhances the equalizing effect: monetary expansion reduces income inequality stronger by raising wages and employment. There is limited evidence for the financial channel. [ABSTRACT FROM AUTHOR]

This paper aims to analyze trends in income and consumption inequality for paid and self-employed households and examine to what extent changes in aggregate consumption and income inequality can be explained by changes in their permanent and transitory components over time using data from the Italian Survey of Household Wealth (SHIW) covering the period 1989-2016. The results obtained from the Generalized Method of Moments (GMM) analysis reveal differences in consumption and income inequality, as well as their permanent and transitory components, between self-employed and payroll households. In particular, self-employed households experience higher levels of both income and consumption inequality, the increase in total income and consumption inequality is mainly driven by an increase in its transitory component. Furthermore, findings from other descriptive measures of inequality, such as the Gini coefficient, the variance of the log, 90th/10th, and 50th/10th percentile ratios, support the notion that income inequality is higher than consumption inequality across all groups, with self-employed households exhibiting a more pronounced difference. [ABSTRACT FROM AUTHOR]

As it becomes increasingly clear how central digital transformation is to development, the need for clarifying concepts and for coming up with standardized and accurate measures for digital inclusion becomes more urgent. Focusing on the internet as a foundational technology, this paper sets out a framework of core components of digital inclusion—including access/use, quality of access/use, affordability, and digital skills. The paper then surveys the ways these components are currently measured in household and firm surveys and by international organizations. Building on simple descriptive analysis of data from a wide range of sources, the paper highlights some of the often-overlooked weaknesses of current measures, and suggests possible improvements. The paper argues that (a) metrics for certain core components of digital inclusion—including quality of access/use and digital skills—are relatively underdeveloped, (b) some questions on technology use and skills may need to be adapted to developing country settings, (c) more attention should be paid to within-country inequalities in statistics reported by international organizations, (d) currently available digital inclusion indices are not very useful, and (e) there is much potential in using big data methods to measure digital inclusion. [ABSTRACT FROM AUTHOR]

Eliminating energy poverty is not only a prerequisite for escaping the "energy poverty trap" but also crucial to enhancing the welfare of residents and realising ecological civilization. Income inequality has become an essential challenge affecting China's economic growth and social stability. By integrating Chinese household data for 2016, 2018, and 2020, a mixed-method approach of energy income response modeling, income inequality measurement modeling, and fixed panel modeling is used in this paper to explore the relationship between income inequality and household energy poverty. Further, the mechanism of income inequality on energy poverty and the poverty reduction effect of household income on energy poverty are explored. The results show that income inequality is significantly and positively correlated with household energy poverty, implying that widening income inequality leads to energy "poverty enhancement." In terms of mechanisms, income inequality increases energy poverty by increasing households' willingness to save and reducing energy consumption. The moderating effect analysis shows that the breadth of digital financial inclusion reduces the contribution of income inequality to household energy poverty. The increase in household income will increase the affordability of households, especially the increase in wage income and property income, which can help households lift themselves out of "energy poverty." Therefore, creating sustainable digital ecosystems, incorporating sound government interventions, and providing diversified income channels are key to helping households escape energy poverty. [ABSTRACT FROM AUTHOR]

The financial system has an important component which adds to social welfare. Investment and consumption expenditures contribute to the increase in production by meeting the capital requirement. The study examines the impact of financial development on income inequality for 13 member nations of the OECD between 1993 and 2017 in light of the panel data method. In the study, income inequality is used as a proxy for the GINI coefficient, while the banks' domestic credit to the private sector is utilized to represent financial development. In addition, the model utilizes control variables, including per capita income, trade openness, inflation, and public spending. The panel data regression results reveal that financial development has a positive effect on income inequality. The results of the paper support the Income Inequality Widening Hypothesis, which suggests that the situation which favours individuals with high income levels who have access to financial resources continues when financial development increases, which in turn increases income inequality. [ABSTRACT FROM AUTHOR]

This paper discusses recent research on the distribution of income and wealth as determinants of fiscal multipliers and the implications for economic policy in the Nordic countries. Economies with higher wealth inequality or lower income inequality have been shown to have more low-wealth and credit-constrained consumers. These consumers have less of an elastic labour supply response to fiscal policies that change their future income but more of an elastic response to policies that change their current income. The labour supply elasticity across the wealth distribution drives the fiscal multiplier. Nordic countries are characterised by high wealth inequality and low income inequality, two features associated with a large number of credit-constrained and low-wealth households. Thus, we expect fiscal stimulus programmes that increase consumers' current income to have more of an impact in the Nordic Region and programmes that increase future income to have less of an impact. [ABSTRACT FROM AUTHOR]

Economic segregation is the geographical separation of people with different economic means. In this paper, we employ an archival study of attitudes in regions with varying degrees of economic segregation and a series of experimental studies measuring reactions to hypothetical levels of segregation to examine how segregation affects concerns about inequality. Combining correlational and experimental methods and examining attitudes about economic inequality in both the United States and South Africa, we show that when individuals of different means are segregated from each other, people are less likely to engage in economic comparisons and are therefore less concerned by inequality. Moreover, we find that this is true even when people are exposed to (and are aware of) the same levels of inequality, suggesting that segregation in and of itself affects attitudes about inequality. Our findings highlight the importance of economic segregation in shaping public attitudes about organizational and societal economic inequality. The authors show that real and hypothetical economic segregation is related to reduced concerns about inequality and that this is true even when holding constant both actual and perceived gaps between people of different economic means. [ABSTRACT FROM AUTHOR]

UK top income shares have varied hugely over the past two centuries, ranging from more than 30% to less than 7% of pre‐tax national income allocated to the top 1 percentile. We build a congruent dynamic linear regression model of the top 1% income share allowing for economic, political and social factors. Saturation estimation is used to model outliers and trend breaks, proxying underlying structural changes driving income inequality in the UK. We use the model to forecast the top 1% income share over the last 15 years, and compare to a range of forecast devices. Despite a well‐specified constant parameter model conditioning on significant explanatory variables, the best performing forecasts are obtained from a random walk and a smoothed random walk. These results are explained by the presence of shifts in the income share over the forecast period, resulting in forecasts from equilibrium correction models converging to the wrong equilibrium. Our best prediction for 2026 based on the most recent data from 2021 (a 5‐year ahead projection) is that the pre‐tax top 1% income share will remain at the most recent realized value of 12.7%, but there is a large degree of uncertainty, with a 95% confidence band ranging from 10% to 15.7%. This paper is part of the Economica 100 Series. Economica, the LSE "house journal" is now 100 years old. To commemorate this achievement, we are publishing 100 papers by former students, as well as current and former faculty. David Forbes Hendry received his MSc and PhD from the LSE. [ABSTRACT FROM AUTHOR]

Publicly available electric vehicle (EV) infrastructure is pivotal for the United States EV transition by 2030. Existing infrastructure lacks equitably distribution to low-income and underrepresented communities, impeding mass adoption. Our study, utilizing 2021 micro-level data from 121 million United States households, comprehensively examines income and racial disparities in EV infrastructure accessibility. Our analysis of national averages indicates that lower-income groups face less accessibility to public EV infrastructure in both urban and rural geographies. Black households experience less rural accessibility, but greater urban accessibility compared to White households conditioning on income. However, our localized analysis uncovers significant variations in accessibility gaps among counties, rural and urban settings, and dwelling types. While Black households experience greater urban accessibility nationally, a closer look at the county level reveals diminishing advantages. This study identifies areas with pronounced inequality and urgent needs for enhanced accessibility, emphasizing the necessity for tailored solutions by local governments to enhance equitable access to EV infrastructure. This paper finds that on average lower-income groups encounter reduced accessibility to public EV infrastructure in urban and rural areas. Black households have less rural accessibility, but greater urban accessibility compared to White households. [ABSTRACT FROM AUTHOR]

Looking at both the Gini coefficients ex-ante as well as at the Gini coefficients ex-post reveals that the distribution of personal incomes has become more unequal in the USA in the periods between 1947 and 2020. This paper investigates the possible underlying concepts of income distribution targets and argues, based on empirical findings, that neither clear electoral/partisan cycles nor station-arity (equilibrium) in the figures of income distribution of the USA can be detected. Instead, one observes an unbroken cyclical upward trend in inequality, which contributes significantly to the fission in the US society and economy. Surprisingly, as measured by the results produced by US presidents on the national level since 1947, the Republican Party and the Democratic Party have made similar contributions to lowering the inequality. [ABSTRACT FROM AUTHOR]

This paper for the first time calculates the historical regional GDP (rGDP) for an Eastern European country by using the methodology of Frank Geary and Tom Stark [2002. Examining Ireland's post-famine economic growth performance. The Economic Journal, 112(482):919–935]. The estimates cover the period 1925–1935 and are made for the historical Latvian regions Kurzeme, Vidzeme, Zemgale, Latgale, and Riga as well as within the contemporary NUTS3 units. The results are compared with the GDP disparity of the NUTS3 regions of the restored independent Latvia (2001–2016). The main findings are that the sigma divergence remained stable. Direct comparisons of regional growth rates indicate that economically more advanced regions were more sensitive to business cycles than less advanced regions. Hence, sigma divergence seems to prevail in times of high growth and convergence in times of low growth. [ABSTRACT FROM AUTHOR]

Using data from 1996 to 2019 covering five Western Balkan countries and applying the linear panel data estimation method, this paper examines the effect of macroeconomic indicators and financial market development on income inequality. Regression results with Driscoll-Kraay standard errors demonstrate that income per capita increases income disparities. Theoretically, there are grounds for both a positive and negative relationship between economic growth and income inequality. In addition, contrary to prevailing literature, our analysis finds no significant impact of financial market development on income inequality, while the rule of law is found to have no effect on income inequalities in these countries. We depart from previous literature by bringing new evidence on the relationship between income inequality and economic growth in the specific context of Western Balkan countries. We study this relationship in an integrated framework and rely on a larger time span, both of which are seemingly important for comprehending the income inequality-economic growth nexus. Certainly, the obtained results bear important policy implications as discussed in this paper. [ABSTRACT FROM AUTHOR]

Because of a growing population and shrinking arable land, the world is facing a global food crisis. One important solution could be to subsidize farmers to sustain their production so that they can produce more food for consumers and earn more money for themselves. An efficient subsidy program should also aim to reduce income inequality among farmers, as measured by the Gini coefficient of farmers' income. In this paper, we examine and compare the effects of input and output farm subsidy programs. The input subsidy reduces the farmers' input purchasing costs, whereas the output subsidy reduces the farmers' output processing costs. By considering a continuum of infinitesimal price-taking farmers who are heterogeneous in their average yield rates, our equilibrium analysis of a game-theoretical model yields three results. First, both subsidy schemes reduce the aggregate income inequality measured by the Gini coefficient. However, they create the following "opposite" effects: the input subsidy decreases the income gap among farmers (under mild conditions), whereas the output subsidy increases it. Second, farmers with low yield rates prefer the input subsidy, whereas farmers with high yield rates prefer the output subsidy. Third, the output subsidy scheme is more effective in improving the total farmer income than the input subsidy scheme, whereas the input subsidy scheme is more effective in reducing income disparities and improving consumer surplus than the output subsidy scheme. Our results provide new insights for policymakers who are crafting subsidy schemes. This paper was accepted by Jayashankar Swaminathan, operations management. Funding: This work was supported by the National Natural Science Foundation of China [Grants 71971184, 71972025, and 72032001], the Departmental General Research Fund of the Hong Kong Polytechnic University [Grant P0008761], and the Research Grants Council of Hong Kong [Grants 15504615 and 15500820]. Supplemental Material: The online appendix and data are available at https://doi.org/10.1287/mnsc.2023.4850. [ABSTRACT FROM AUTHOR]

Given a vast concern about high income inequality in Thailand as opposed to empirical findings around the world showing people's preference for fair income inequality over unfair income equality, it is therefore important to examine whether inequality in income distribution in Thailand over the past three decades is fair, and what fair inequality in income distribution in Thailand should be. To quantitatively measure fair income distribution, this study employs the fairness benchmarks that are derived from the distributions of athletes' salaries in professional sports which satisfy the concepts of distributive justice and procedural justice, the no-envy principle of fair allocation, and the general consensus or the international norm criterion of a meaningful benchmark. By using the data on quintile income shares and the income Gini index of Thailand from the National Social and Economic Development Council, this study finds that, throughout the period from 1988 to 2021, the Thai income earners in the bottom 20%, the second 20%, and the top 20% receive income shares more than the fair shares whereas those in the third 20% and the fourth 20% receive income shares less than the fair shares. Provided that there are infinite combinations of quintile income shares that can have the same value of income Gini index but only one of them is regarded as fair, this study demonstrates the use of fairness benchmarks as a practical guideline for designing policies with an aim to achieve fair income distribution in Thailand. Moreover, a comparative analysis is conducted by employing the method for estimating optimal (fair) income distribution representing feasible income equality in order to provide an alternative recommendation on what optimal (fair) income distribution characterizing feasible income equality in Thailand should be. [ABSTRACT FROM AUTHOR]

Information on both wages and job quality is needed in order to understand the occupational dispersion of wellbeing. We analyse subjective wellbeing in a large UK sample to construct a measure of 'overall reward', the sum of wages and the value of job quality, in 90 different occupations. If only wages are included, then labour market inequality is underestimated: the dispersion of overall rewards is one‐third larger than the dispersion of wages. Our findings are similar, and stronger, in data on US workers. We find a positive correlation between job quality and wages in all specifications, both between individuals in the cross‐section and within individuals in panel data. The gender and ethnic gaps in the labour market are larger than those in wages alone, and the overall rewards to education on the labour market are underestimated by earnings differentials alone. This paper is part of the Economica 100 Series. Economica, the LSE "house journal" is now 100 years old. To commemorate this achievement, we are publishing 100 papers by former students, as well as current and former faculty. Maria Cotofan is a research Associate at the CEP. Andrew E. Clark obtained his mSc and PhD from the LSE and is a research Associate at the CEP. Richard layard is the Founder‐Director at the CEP and is the co‐Director of the Centre's programme on Community Wellbeing. [ABSTRACT FROM AUTHOR]

This paper evaluates the impacts of income inequality on life expectancy in African countries. The empirical analysis has been performed on a panel dataset of 52 African nations covering the period of 1995 to 2018. For estimating the inequality-health relationship, I have used Two-Stage Least Squares (2SLS) technique and a Panel Error Correction Model (PECM). The longrun cointegrating relationship was estimated using a Panel Dynamic Ordinary Least Square (PDOLS) estimator. The outcomes suggest that income inequality has negatively affected life expectancy at birth in the African continent overall. Though income inequality seems to have improved health in the short-run, in the long-run, income inequality had deleterious effects. A series of steps has been followed to check the soundness of the result of the main empirical examination and it is confirmed that the results are robust. [ABSTRACT FROM AUTHOR]

A series of revitalization policies (RPs) have been implemented in China's Old Revolutionary Areas (ORAs). Evaluating the impact of these RPs is of paramount importance for refining policy design and achieving the goal of common prosperity. This study focuses on the ORAs in Gannan (ORAG) and employs the Propensity Score Matching Difference-in-Differences (PSM-DID) method to assess the effects of the RPs from two perspectives: stimulating economic growth and increasing farmers' income, utilizing county-level data spanning from 2006 to 2019. The findings of this study reveal that while the RP restrains the growth of per capita GDP in ORAG, it significantly promotes the growth of farmers' income. Moreover, it plays a crucial role in reducing the income gap between ORAG and Jiangxi Province, thus promoting the common prosperity of farmers in ORAG. A detailed examination using quantile regression shows that the RP has a significant and consistent negative impact on GDP per capita GDP at different quantile points. At the same time, it has a significant positive effect on increasing farmers' income at the 25% quantile point, effectively reducing income inequality among farmers at all quantile levels. The mechanism analysis shows that the RP has stimulated increased government investment in ORAG, leading to an increase in farmers' incomes and a reduction in income disparities. However, the study also highlights the existence of a "policy trap" that has hindered the RP's effectiveness in ORAG. Drawing upon these findings, this paper offers policy recommendations to enhance the impact of RP in ORAs. [ABSTRACT FROM AUTHOR]

Understanding lay theories on the causes of economic inequality is the first step to comprehending why people tolerate, justify, or react against it. Accordingly, this paper aims to develop and validate with two cross-sectional studies the Attributions for Cross-Country Inequality Scale (ACIS), which assesses how people explain cross-country economic inequality–namely, the uneven distribution of income and wealth between poor and rich countries. After selecting and adapting items from existing scales of attributions for poverty and wealth, in Study 1, we tested the factorial structure of this initial pool of items in three countries with different levels of economic development and inequality, namely, Italy (n = 246), the UK (n = 248), and South Africa (n = 228). Three causal dimensions emerged from the Exploratory Factor Analysis: "rich countries" (blaming the systematic advantage of and exploitation by rich countries), "poor countries" (blaming the dispositional inadequacy and faults of poor countries), and "fate" (blaming destiny and luck). The retained items were administered in Study 2 to three new samples from Italy (n = 239), the UK (n = 249), and South Africa (n = 248). Confirmatory Factor Analysis (CFA) corroborated the factorial structure of the ACIS, and Multi-Group CFA supported configural and metric invariances of the scale across countries. In addition, we show internal consistency and construct validity of the scale: the scale correlates with relevant constructs (e.g., beliefs about cross-country inequality and ideological orientation) and attitudes toward relevant policies related to international redistribution and migration. Overall, the scale is a valid instrument to assess causal attribution for cross-national inequality and is reliable across countries. By focusing on resource distribution from an international perspective, this scale will allow researchers to broaden the discussion on economic inequality to a global level. [ABSTRACT FROM AUTHOR]

Economic inequality has been found to be associated with increased unethical behavior and an increased acceptance of unethical behavior. In this paper we explored whether higher amounts of perceived inequality lead to an increase in the expectation of unethical behavior. We tested whether people would say that they themselves would engage in more unethical behavior in a context of high compared to low inequality. We find evidence for this hypothesis in 3 of 4 studies (n = 3,038). An internal meta-analysis shows a small but significant effect. Such increased expectations that oneself will behave unethically likely has consequences for societal trust and functioning. [ABSTRACT FROM AUTHOR]

Economic inequality is a significant and growing issue in the U.S., particularly within Black communities. Improving Black entrepreneurship is critical to addressing the economic gaps. In this paper, we discuss a unique, newly established educational program focused on cannabis education at Medgar Evers College (MEC) in New York. One of the goals of the new program is to increase Black entrepreneurship in the rapidly growing cannabis industry. For decades, cannabis use and distribution were criminal offenses that led to the disproportionate incarceration of Black individuals compared to White individuals. As it is being decriminalized across the country, and medical and recreational use spreads, the tool formerly used for Black incarceration can now become a tool for advancing Black entrepreneurship. To work and/or operate a venture in the cannabis industry requires students to understand a range of issues and build a strong foundation of broad knowledge. We discuss the emerging curricula and illustrate some of the elements that will help spur successful new venture creation led by Black and minority entrepreneurs in this exciting new field. Some early successes and lessons learned are discussed, which can help other educational institutions looking to create or improve their own cannabis-related curricula. [ABSTRACT FROM AUTHOR]

There is an imbalance in the development of artificial intelligence between industries. Compared to non-AI enterprise, AI- enterprise will save labor, enhance innovation capabilities, and improve production efficiency. By constructing a two-industry model of AI and non-AI enterprise, this paper finds that with the development of artificial intelligence in the same industry, the AI enterprise will occupy a dominant position, attracting labor and capital from the non-AI enterprise into the AI enterprise. In different industries, the development of artificial intelligence improves the production efficiency of the enterprise. However, due to the price effect, non-AI enterprise benefits more. Labor and capital flow from AI enterprise to non-AI enterprise. In order to promote the improvement of production efficiency in the whole society, the government can tax non-AI enterprise and subsidize them to AI enterprise. Taxation promotes the degree of automation and the improvement of production efficiency, but it has only a short-term effect on the development of AI. At the same time, taxation inhibits the development of non-AI enterprise, and there is a high risk of unemployment. When both industries use artificial intelligence for production, the labor share and the capital share of the two industries will tend to the same value. The convergence of technology measures is conducive to increasing labor income share and reducing income inequality, but it is not conducive to innovation. [ABSTRACT FROM AUTHOR]

This paper primarily studies how wages predict long-term absenteeism in enterprises. In addition, it studies who disappears from the workforce when downsizing. Analyzing Norwegian enterprise data using dynamic unconditional quasi-maximum likelihood fixed-effects panel regression and general methods of moments panel regression with instrumental variables, we find that increasing average wages decreases average long-term absenteeism. As the effect barely abates the following year, it likely reflects highly skilled and motivated employees in good health receiving a wage premium and not a stimulus boosting overall work attitudes, which is likely short-lived. Wage inequality increases absenteeism, indicating that increasing low earners' wages relative to those earning high ones decreases absenteeism, but the effect is short-lived and disappears the following year. In addition, average age and education tend to decrease absenteeism, but female labor participation increases it, likely due to maternity leave. Also, increasing the workforce increases absenteeism, indicating that handling many new employees is challenging. When enterprises downsize, young and low earners initially disappear from the workforce, but the following year, older and high earners share the same fate. [ABSTRACT FROM AUTHOR]

If large firms employ relatively more educated workers, will an increase in market concentration increase income inequality by raising the relative demand for skill? I use Swedish employer–employee data from 1997–2016 and find a strong correlation between firm size and the share of college‐educated ('skilled') workers. An increase in a sector's market concentration is correlated with a higher skilled wage premium and higher relative employment of skilled workers. This is due mainly to the reallocation of workers across firms. I demonstrate how these findings can be explained by a model of heterogeneous firms where productivity and skill intensity are positively correlated. This paper is part of the Economica 100 Series. Economica, the LSE "house journal" is now 100 years old. To commemorate this achievement, we are publishing 100 papers by former students, as well as current and former faculty. Anders Akerman completed his BSc and MSc at the LSE. [ABSTRACT FROM AUTHOR]