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Understanding the linkages between poverty and inequality is vital to any sustainable development and poverty reduction strategies. In Ghana, while poverty has reduced significantly over the years, inequality has increased. The purpose of this paper is to examine the linkages between inequality in household expenditure components and overall inequality and poverty in Ghana.

Using microdata from the sixth round of the Ghana Living Standards Survey (GLSS 6) conducted in 2012/2013, marginal effects and elasticities were computed for both within- and between-component analysis.

The results suggest that, in general, reducing within-component inequality significantly reduces overall poverty and inequality in Ghana, compared with between-component inequality. Specifically, inequality in education and health expenditure components were the largest contributors to overall poverty and inequality. The findings imply that policies directed toward reducing within-component inequality will be more effective. Specifically, the findings of the study corroborate recent policies on education and health in Ghana aimed at inequality within these components. Sustaining and scaling up these policies will be a step in the right direction.

The study contributes to existing studies in several ways: first, this study becomes the first attempt to examine inequality-poverty nexus using household expenditure components in Ghana. Second, the use of expenditure in place of income is an addition to the literature. Income is usually subject to reporting biases and is minimal in expenditure. Finally, the findings highlight the need for poverty reduction strategies to focus on specific household components including education and health. Blanket interventions may not be effective in reducing inequality and poverty.

This paper investigates whether democracy plays a mediating role in the relationship between foreign direct investment (FDI) and inequality in Sub-Saharan Africa (SSA).

The empirical analysis is conducted using fixed effects and system GMM (Generalised Method of Moments) on a panel of 38 Sub-Saharan African countries covering the period of 1990–2018.

The results find that FDI has no direct effect on inequality whereas democracy reduces inequality directly in both the short run and the long run. The sensitivity analyses find that democracy improves equality regardless of the magnitude of FDI, resource endowment or democratic deepening whereas FDI only reduces inequality once a moderate level of democracy has been achieved.

The results discussed above thus have four policy implications. First, these results show that although democracy has inequality reducing benefits, SSA is unlikely to significantly reduce inequality unless the region purposefully diversifies its trade and FDI away from natural resources. Second, the region should continue to expand credit access to reduce inequality and attract FDI. Third, policymakers should undertake reforms that will reduce youth inequality. Lastly, the region should focus on long-run democratic reforms rather than on short-run democratization to improve governance and investor confidence.

Although there are existing studies that examine the association between FDI and inequality, FDI and democracy and democracy and inequality, this is the first study to explicitly examine the effect of democracy on the association between FDI and inequality in SSA, and the first study to separately consider the possible varied effects of contemporaneous democratization versus the long-run accumulation of democratic capital. In addition, rather than measure inequality by income alone, this study uses the more appropriate Human Development Index to account for SSA's sociological, education and income disparities.

This paper aims to re-examine the impact of government expenditure on income inequality. Existing studies provide mixed results on whether government expenditure reduces or increases income inequality. In this paper, government expenditure is viewed as a tool for redistribution, hence, its impact on inequality is examined.

A sample of 122 countries with 91 and 31 countries categorized as developing and developed countries is used. The dynamic panel threshold regression is used to examine the impact of government expenditure on income inequality and to estimate the turning point of the negative or positive effects.

The major findings suggest that, in general, government expenditure does reduce income inequality. Results from developed countries support the inversed U-shaped Kuznet curve where higher government expenditure initially led to more inequality but would eventually bring about a positive effect after a certain threshold level. For developing countries, education and development expenditure were the driving forces towards lower income inequality.

Several policy implications can be derived from this paper. First, government expenditure is a useful tool to alleviate the problem of income inequality. More integration with the global economy via trading activities is also an important channel to help reduce income inequality. Finally, better institutional quality provides an effective ecosystem in promoting better redistribution of income via government expenditure.

This paper presents a maiden attempt to estimate a threshold value or when government expenditure starts to reduce or increase income inequality. The sample is segregated into developed and developing countries to further control the effect of government size and the level of development of a country.

The objectives of this study are threefold: firstly, to measure the impact of educational inequality on income inequality, and per capita income; secondly, to measure the impact of gender inequality in education on income inequality, per capita income and educational inequality; and lastly, to test the Kuznets inverted U-shape hypothesis between inequality in education and average year of schooling.

The study has adopted the Marin and Psacharopoulos (1976) model of human capital in which income earned by an individual can be estimated as a function of number of year spent in schooling or education. Gini coefficient is used as a measure of income inequality, while inequality in education is measured by Gini index of educational inequality. Gender inequality in education is measured by the difference between male and female enrolment ratios as a proportion of male enrolment. The study utilizes the data of six South Asian countries, i.e. Bangladesh, India, Maldives, Nepal, Pakistan and Sri Lanka from 1980 to 2010 at five-year average and employs fixed effect model (FEM) and random effect model (REM) for estimation.

Result suggests that educational inequality and average year of schooling have positive and significant impact on income inequality. Primary (basic) education and tertiary (higher) education reduce income inequality, while secondary education widens income inequality. Negative relationship exists between educational inequality and per capita income. Unequal distribution of education among boys and girls at primary level increases income inequality, while reduces income inequality at tertiary level. Gender inequality in secondary and tertiary level of education reduces per capita income, while unequal distribution of education among boys and girls further increases the educational inequality. Kuznets inverted U-shape hypothesis does not hold between education expansion and educational inequality, while weak U-shape relationship exists in South Asian countries.

Government has to provide free education in poor regions and makes employment programs to reduce the income and educational inequality respectively, while to remove gender inequality in education it is necessary to build more schools especially for girls. Government has to launch different online education programs for expansion in education at all levels.

This study adds to the literature by analyzing whether the inequality in income increases (decreases) due to increase (decrease) in educational and gender inequality in South Asian countries. This study contributes in the existing literature by developing a measure of educational and gender inequality in education in South Asian countries.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2020-0226.

The purpose of this paper is to analyse the impact of foreign direct investment (FDI) on urban-rural income inequality in China.

This study uses the provincial-level panel data and employs the fixed-effects instrumental variable regression technique to investigate empirically the impact of FDI on urban-rural income inequality in China.

The study finds that while FDI has directly contributed to reducing urban-rural income inequality through employment creation, knowledge spillovers and contribution to economic growth, FDI has also contributed to increasing urban-rural income inequality through international trade.

The study has some policy implications. First, as the study finds that FDI not only contributes to reducing urban-rural income inequality through employment creation, knowledge spillovers and contribution to economic growth, but also contributes to increasing urban-rural income inequality through international trade, therefore, apart from improving local economic and technological conditions to attract more FDI inflows, China should re-design FDI policies by shifting away from encouraging export-oriented FDI to encouraging FDI flows into the industries and sectors in line with China’s overall economic structural adjustments and industrial upgrading. Second, policies should focus on increasing investment in infrastructure development and in public education, which not only can reduce urban-rural income inequality but also can attract more FDI inflows. And finally policies should be designed to accelerate urbanisation development by focusing on urban-rural integrated development, household registration system reform and proper settlement of rural migrants in urban areas, thus reducing urban-rural income inequality.

The paper makes two major contributions to the literature. First, the paper adopts the fixed-effects instrumental variable regression technique to deal with the endogeneity issues in estimating the impact of FDI on urban-rural income inequality, producing more consistent estimates. Second, the paper investigates not only the direct impact of FDI on urban-rural income inequality through the effects of employment creation, knowledge spillovers and contribution to economic growth, but also the indirect impact of FDI on urban-rural income inequality through its activities in international trade, adding new empirical evidence to the sparse literature on the impact of FDI on income inequality in China.

This paper aims to examine the influence of financial inclusion (FI) on poverty, income inequality and financial stability from the perspective of public good (PG) theory in developing countries.

This study applies the fixed effects model (FEM), pooled ordinary least square (OLS) regression and generalized method of moment (GMM) across panal data of 69 developing countries from 2002 to 2020 inclusive.

Multiple regression analyses show that FI reduces poverty and income inequality while improving financial stability. Secondary enrolment ratio, GDP per capita, and trade openness reduce poverty and income inequality. However, a higher inflation rate increases poverty and income inequality while reducing financial stability. Finally, age dependency ratio and population do not affect poverty, income inequality or financial stability.

The regulators and policymakers in developing countries should raise the level of formal FI by expanding the size of the formal financial sector and improving the access of the large unbanked population to financial products/services. Improving FI enables the unbanked population to take over productive activities and ease consumption, which in turn complementing economic growth.

The increase in FI enables the developing countries to include the financially excluded population through formal financial products and services, which improve financial stability and eradicate poverty and income inequality in society. Thus, the FI enhances the social welfare of society.

This is the first study that examines the impact of FI poverty, income inequality and financial stability in the context of developing countries. This study contributes to the theoretical implications of the PG theory by examining the influence of FI on poverty, income inequality and financial stability in the context of developing countries.

The reduction of income inequality and the ways to fight against it are source of debate among scientific communities and policymakers. Rents from natural resources that African countries are endowed with remain one way to cope with income inequality, but its influence on income inequality is mixed. Thus, the purpose of this paper is to explore the direct and indirect transmission mechanisms through which natural resources rents can affect income inequality in sub-Saharan Africa.

This study obtained data on income inequality from the Standardised World Income Inequality Data database, natural resources rents from World Bank’s Development Indicators and education from United Nations Development Programme for the period 1990–2018. It was analysed using system generalised method of moments.

The results of this study showed that natural resources rents solely increased income inequality, but its interaction with education significantly reduced income inequality.

These findings suggest that the reduction of income inequality by natural resources rents passes through a good education system in sub-Saharan African countries.

In previous studies, authors analysed the role of education in the relationship between natural resources rents and income inequality by inserting the two variables separately in the model. But in this paper, the author analysed the role of education in the relationship between natural resources rents and income inequality by using the interaction of natural resources rents and education.

Purpose – Ascertaining the extent to which the generalized decline in union density, as well as the erosion in centralized bargaining structures and developments in other labor institutions, have contributed to rising within-country inequality.

Methodology – Econometric analysis of a newly developed dataset combining information on industrial relations and labor law, various dimensions of globalization, and controls for demand and supply of skilled labor for 51 Advanced, Central and Eastern European, Latin American, and Asian countries from the late 1980s to the early 2000s, followed by an analysis of 16 advanced countries over a longer time frame (from the late 1970s to the early 2000s).

Findings – In contrast to previous research, which finds labor institutions to be important determinants of more egalitarian wage or income distributions, the chapter finds that trade unionism and collective bargaining are no longer significantly associated with within-country inequality, except in the Central and Eastern European countries. These findings are interpreted as the result of trade unionism operating under more stringent structural constraints than in the past, partly as a result of globalization trends. In addition, despite much talk about welfare state crisis, welfare states, historically the result of labor's power and mobilization capacity, still play an important redistributive role, at least in advanced countries.

Practical implications – Union attempts at equalizing incomes by compressing market earnings seem ineffective and impractical in the current day and age. Unions should seek to increase the workers’ skill levels and promote an egalitarian transformation of the workplace. This type of “supply-side” egalitarianism is not a new strategy for unions, but is very much embedded in the unions’ DNA.

This paper aims to examine the relationship between tourism development and income inequality, closely linked to the Sustainable Development Goals, for the case of a large sample of 83 countries (and subsamples) over the period 1990–2019.

This study uses rigorous dynamic panel data analysis, namely, a Panel Vector Autoregressive Error Correction model, which takes into account both dynamic and endogenous relationships in the tourism-inequality nexus.

The results provide strong support that tourism development has an income inequality reducing effect (albeit relatively small with a reported elasticity of 0.05). Subsamples analysis reveals that the impact of tourism on income inequality varies and is relatively larger in developing economies and those tourist-dependent economies, as compared to developed economies. In fact, it is reported that a 1% increase in tourism development reduces income inequality by 0.46% for developing and 0.56% for tourist-dependent economies as compared to only 0.02% in developed economies. It is further observed that tourism may affect income inequality indirectly via economic growth.

This paper attempts to supplement the dearth literature on the tourism-inequality nexus by analyzing subsamples from a large data set while also using a dynamic panel data framework. The potential indirect effect of tourism on inequality via the economic growth channel is also explored.

该研究采用了严格的动态面板数据分析, 即面板向量自回归误差修正模型（PVEM）, 该模型考虑到了旅游业不平等关系中的动态和内生关系。

本文以1990–2019年期间83个国家（及其子样本）的大样本为例, 研究旅游业发展与收入不平等之间的关系。

本研究结果证明, 旅游业发展具有减少收入差距的作用（尽管相对较小, 报告的弹性为0.05）。子样本分析显示, 与发达经济体相比, 旅游业对收入不平等的影响在发展中经济体和那些依赖游客的经济体中存在差异且相对较大。事实上, 据报道, 旅游业发展每增加1%, 发展中经济体的收入差距就会缩小0.46%, 依赖旅游的经济体会缩小0.56%, 而发达经济体的差距仅缩小0.02%。本研究进一步观察到, 旅游业可能通过经济增长间接影响收入差距。

本文试图通过分析大型数据集的子样本, 同时采用动态面板数据框架, 来补充关于旅游与不平等关系的文献的不足。本文还探讨了旅游业通过经济增长渠道对不平等的潜在间接影响。

El estudio emplea un riguroso análisis dinámico de datos de panel, concretamente un modelo de corrección de errores autorregresivo vectorial de panel (PVEM), que tiene en cuenta tanto las relaciones dinámicas como las endógenas en el nexo turismo-desigualdad

Este documento examina la relación entre el desarrollo del turismo y la desigualdad de ingresos, estrechamente vinculada a los Objetivos de Desarrollo Sostenible, para el caso de una amplia muestra de 83 países (y submuestras) durante el periodo 1990-2019.

Los resultados apoyan firmemente que el desarrollo turístico tiene un efecto reductor de la desigualdad de ingresos (aunque relativamente pequeño, con una elasticidad declarada de 0,05). El análisis de submuestras revela que el impacto del turismo en la desigualdad de ingresos varía y es relativamente mayor en las economías en desarrollo y en aquellas economías dependientes del turismo, en comparación con las economías desarrolladas. De hecho, se informa de que un aumento del 1% en el desarrollo del turismo reduce la desigualdad de ingresos en un 0,46% en las economías en desarrollo y en un 0,56% en las economías dependientes del turismo, frente a sólo un 0,02% en las economías desarrolladas. Se observa además que el turismo puede afectar indirectamente a la desigualdad de ingresos a través del crecimiento económico.

El artículo intenta complementar la escasa bibliografía sobre el nexo entre turismo y desigualdad analizando submuestras de un gran conjunto de datos y empleando un marco dinámico de datos de panel. También se explora el posible efecto indirecto del turismo sobre la desigualdad a través del canal del crecimiento económico.