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Evidence shows that African countries are confronted with high levels of income inequality. Therefore, it is relevant to approach and analyze the factors contributing to these severe inequality cases. This paper addresses the issue by focusing on the role of financial regulation and military spending.

We used a sample of 30 African countries and a recent period (2009–2020), employing various instrumental variable estimation techniques to control for endogeneity.

The results confirm that economic growth aggravates income inequality due to high corruption and political instability. Results confirm that the increase in military spending increases inequality and that financial regulation weakens financial inclusion and also increases income inequality.

The study shows the need for greater control of corruption and the promotion of political stability so that economic growth and financial inclusion can effectively reduce income inequality, as well as the need for a better balance in the drafting of financial regulations and the preparation of military expenditure to safeguard other policy objectives.

The present study contributes to scarce financial, economic, and social literature considering the role of financial regulation and military spending in the persistence of income inequality in African countries. Previous studies disregarded this fact.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2023-0287

The purpose of this paper is to explore the empirical relationship between the share of immigrants and the price elasticity of import demand.

We estimate the import demand function including the interaction term of the share of immigrants and relative import price, using panel data of 76 countries/areas.

The coefficient of the interaction term is significantly positive, that is, a higher share of immigrants weakens the negative effect of the relative import price on import demand. Our findings reveal the negative relationship between the share of immigrants and the price elasticity of import demand.

The share of immigrants is increasing in the present era of globalization, and it is possible that the role of exchange rate as the price adjustment mechanism in international trade become lower in the future.

This research considers different price elasticities for import goods by immigrants and natives.

Since smartphones became ubiquitous, online grocery and food purchases through take-away delivery platforms have steadily increased in China. Nevertheless, whether the development of take-away delivery can ameliorate urban–rural wage inequality still requires further analysis. The purpose of this paper is to clarify whether this positive effect exists.

This paper makes estimations based on city and individual levels combining the Chinese Household Income Project (CHIP) 2008, CHIP 2013, CHIP2018 survey data and the take-away delivery site data. At the city level, the Oaxaca-Blinder (O-B) decomposition method is employed to construct wage inequality index of urban and rural labors. At the individual level, this paper analyzes urban–rural wage differentials with high or low formal education level.

The rapid establishment of take-away delivery sites has resulted in an increase of 52.425 yuan on average in the annual wage of rural labors with low formal education level. When the cumulative number of sites increases by 1 unit, the annual wage inequality index decreases by 0.007 on average. Labors with the characteristics of rural household registration and low education can enjoy more dividends. Through inter-/within-industry decomposition, this paper elaborates formal education, age and cross-industry transfer as the main factors for the improvement of urban–rural wage inequality. Narrowing effect of wage differences between different groups in multiple sample slices also contributes to the mechanism analyses.

To the best of the author’s knowledge, this paper is the first to analyze the impact of take-away delivery development on the urban–rural wage inequality from the perspective of the establishment of take-away delivery sites. This empirical study will enrich the existing theoretical perspectives on urban–rural divide under the emergence of new forms of employment. The results indicate that new forms of employment represented by take-away delivery can not only promote economic growth, but also eliminate urban–rural inequality.

The aim of this paper is to shed more light on the foreign direct investment (FDI) - income inequality nexus in the post-communist EU countries. Special attention is paid to the emergence of a new meritocratic elite related to foreign capital that tends to replace the old elite inherited from the transition period at the top end of the income distribution.

The macroeconomic model of the relationship between income inequality and FDI is estimated by using the generalized method of moments (GMM) technique. The sample includes 10 post-communist EU member states during the period 1993 to 2020.

The results suggest that the concentration of the highest level of human capital in foreign-owned enterprises, in the institutional environment under which foreign-owned enterprises are less numerous and pay a higher wage than domestic ones, contributes to the change of the effect of FDI and human capital on income distribution from an initial decrease to a later increase in income inequality.

This paper adds to the existing literature by exploring the distributive impacts of sectoral reallocation of FDI inflows from manufacturing to service sectors from the perspective of heterodox economics. It specifically examines how this shift has facilitated the emergence of a new meritocratic elite associated with foreign capital, which in turn diminishes the overall anti-inequality effect of FDI in the post-communist new EU countries.

This study examines the effect of digitalization on poverty and income inequality in developing countries. The study answers the question of whether digitalization is a way for developing countries to get out of poverty and income inequality.

The study uses data from 17 developing countries with data from 2005 to 2021. The study employs fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS), with an augmented mean group (AMG) for robustness. Digitalization, as the variable of interest, is proxied by the digitalization index (DI), constructed using principal component analysis (PCA). The dependent variables are poverty and income inequality, which are used in different models.

The evidence indicates that digitalization decreases poverty and income inequality in developing countries. These findings are justified when we use the AMG estimator, but the strength of the coefficients and significance levels are higher in the FMOLS and DOLS estimators. The results of the control variables also show that human development (LHDI), CO2 emissions and foreign direct investment (FDI) have decreasing effects on poverty and income inequality. Thus, digitalization is a good option for developing countries to get out of poverty and income inequality to achieve sustainable development goals (1&10).

This study provides rigorous empirical evidence on the effect of digitalization on poverty and income inequality in developing countries. Unlike the previous studies on developing countries, this study used a DI to proxy digitalization. In addition, the authors use FMOLS and DOLS estimators, with an AMG estimator for robustness, to provide long-run coefficients.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2023-0586

Drawing on bargaining power and the inequality aversion perspective, this study aims to probe employees’ influence on addressing income inequality between top executives and nonexecutive employees. Meanwhile, it examines the moderating role of employee-related factors and plan attributes.

This study uses a staggered difference-in-differences design with a propensity scoring match approach and verification of the parallel trend assumption to test the hypotheses.

The results support the hypothesis that employee stock ownership plans (ESOPs) significantly reduce within-firm income inequality. The negative effect is amplified by both the presence of trade unions and the unemployment rate at the regional level, as well as the duration of the lock-in period and the scale of participants within the stock ownership plan.

This study has implications for income inequality research and ESOP design and provides theoretical support for policymakers and corporate governance.

This study contributes to the literature on income inequality by examining the implementation of ESOPs from the employee perspective. Furthermore, it extends the current literature by investigating the strengthening effects of regional factors and ESOP attributes on the relationship between ESOPs and income inequality. The conclusions provide new empirical evidence to promote the effective implementation of ESOPs by combining internal and external factors.

The objective of the research is threefold. First, the study examines the fiscal policy – income inequality nexus in SA. Second, the study addressed the potential asymmetric effects in fiscal policy – income inequality nexus in SA (i.e. we assessed the effects of fiscal policy on income inequality at different quantiles of the income inequality) using secondary data from 1980–2020. Third, the study also identifies the optimal fiscal policy instrument that achieve the greatest distributional objectives.

The study adopts the traditional ordinary least square (OLS) and the innovative Quantile estimation techniques.

The study found that fiscal policy marginally reduces the income inequality at the lower quantiles (t: 0.05). Specifically, the results show that government spending on health and education reduces income inequality at the lower quantiles (t: 0.05; t: 0.25), albeit exerts a statistically weak impact. On the other hand, the results show that at the upper quantiles, fiscal policy has no statistically significant impact on income inequality. However, we do not find either direct or indirect tax to have any impact on income inequality at any conventional level of significance. This suggests that government spending on health and education have the greater potential to reduce income inequality in South Africa. The research and policy implications are discussed.

The study addressed the asymmetric phenomenon in income inequality-fiscal policy nexus in South Africa.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-12-2023-0956

This paper aims to contribute to the current debate between the mainstream and the non-mainstream literature on the effect of the growth of finance on the level of income inequality, for which the empirical evidence has also been providing mixed results.

We estimate a linear model and a non-linear model by employing a panel autoregressive distributed lag approach and relying on the dynamic fixed-effects estimator because of the existence of variables that are stationary in levels and stationary in the first differences.

Our findings confirm that finance, economic growth, educational attainment and degree of trade openness have a positive long-term effect on the level of income inequality in the European Union countries, whilst government spending has a negative impact in the short term.

Our findings imply that policy makers should rethink the functioning of the financial system in order to restore a supportive relationship between finance and income inequality and adopt public policies that are more in favour of the poor in order to constrain the growth of income inequality in the European Union countries.

To the best of our knowledge, this is the first paper that, simultaneously, focuses on the European Union countries, assesses the nexus between finance and income inequality, uses three different variables as proxies for the level of income inequality (the Gini coefficient, the top 1% income share and the top 10% income share), measures the variables that are proxies for the level of income inequality in terms of pre-tax and pre-transfer values and as post-tax and post-transfer values, takes into account four different variables as proxies for the role of finance (credit, credit-to-deposit ratio, liquid liabilities and stock market capitalisation) and identifies the long-term and short-term determinants of income inequality.

Paley's and Hardy's inequality are proved on a Hardy-type space for the Fourier–Dunkl expansions based on a complete orthonormal system of Dunkl kernels generalizing the classical exponential system defining the classical Fourier series.

Although the difficulties related to the Dunkl settings, the techniques used by K. Sato were still efficient in this case to establish the inequalities which have expected similarities with the classical case, and Hardy and Paley theorems for the Fourier–Bessel expansions due to the fact that the Bessel transform is the even part of the Dunkl transform.

Paley's inequality and Hardy's inequality are proved on a Hardy-type space for the Fourier–Dunkl expansions.

This work is a participation in extending the harmonic analysis associated with the Dunkl operators and it shows the utility of BMO spaces to establish some analytical results.

Dunkl theory is a generalization of Fourier analysis and special function theory related to root systems. Establishing Paley and Hardy's inequalities in these settings is a participation in extending the Dunkl harmonic analysis as it has many applications in mathematical physics and in the framework of vector valued extensions of multipliers.

With the help of a quasi-natural experiment on Chinese policies, this study aims to understand the actual contribution of Smart City (SC) policies to the development of information and communications technology (ICT) in different cities. It also discusses the social and digital differences that such policies may generate, with a particular focus on the potential for exacerbating urban inequalities.

To achieve this, the study employs a principal component analysis (PCA) to develop an ICT development indicator system. It then employs a difference-in-differences (DID) model to analyze panel data from 209 Chinese cities over the period from 2007 to 2019, examining the impact of SC policies on ICT development across various urban settings.

Our findings show that SC policies have significantly contributed to the enhancement of ICT development, especially in ICT usage. However, SC policies may inadvertently reinforce developmental disparities among cities. Compared to less developed areas, the benefits of SC policies are more pronounced in economically booming cities. This is likely due to the agglomeration of the ICT industry and the strong allure of developed urban centers for high-caliber talent.

This study contributes to the related literature by explaining the role of SC policies in driving ICT development and by focusing on the often-overlooked impact of SC policies on urban inequality. These findings can provide guidance to policymakers on the need to recognize and address existing urban inequalities.