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As hypothesized by Gerschenkron (1962), lower income countries would tend to grow at a faster rate than higher income countries and, as a result, their average incomes would converge in the long run. In addition to that hypothesis, theoretical studies to assess the impact of globalization on international economic convergence remain ambiguous. To address both the issues simultaneously, this study attempts to analyze the trend and possible association between the two, i.e., cross-country per capita income differential and globalization. This study incorporates a long list of countries (160 Countries) for a fairly long period of time (from 1990 to 2019). As expected, the study found a steady rise in global trade to GDP ratio, indicating a rising level of globalization in the assessment period. In addition to that, the study also found a rising level of average cross-country per capita real GDP (based on purchasing power parity (PPP)) differential in the given time horizon, contradicting Gerschenkron hypothesis. Finally, applying the ARDL bounds testing procedure, the study finds that cross-country per capita income differential and globalization are cointegrated; and the net effect of globalization on income differential is positive. Therefore, given the data, the study concludes that, over the years, along with rising level of globalization, per capita income differential diverges which causes cross-country per capita income inequality to rise.

This paper presents estimates of total personal income for every U.S state in 1880, 1890, 1900, and 1910. The series includes new figures for 1890 and 1910, and revisions of Richard Easterlin's (1960) figures for 1880 and 1900 based on recent economic history research. The new estimates allow better examination of U.S. interregional income differences and cyclical behavior of U.S. states’ total personal income.

This study provides the critical masses (thresholds) at which the positive incidence of finance and economic growth will be dampened by the negative effects of income inequality and poverty on energy consumption in Sub-Saharan Africa for policy direction.

The study employed the two steps systems GMM estimator for 41 countries in Africa from 2005–2020.

The study found that for finance to maintain a positive effect on energy consumption per capita, the critical thresholds for the income inequality indicators (Atkinson coefficient, Gini index and the Palma ratio) should not exceed 0.681, 0.582 and 5.991, respectively. Similarly, for economic growth (GDP per capita growth) to maintain a positive effect on energy consumption per capita, the critical thresholds for the income inequality indicators (Atkinson coefficient, Gini index and the Palma ratio) should not exceed 0.669, 0.568 and 6.110, respectively. On the poverty level in Sub-Saharan Africa, the study reports that the poverty headcount ratios (hc$144ppp2011, hc$186ppp2011 and hc$250ppp2005) should not exceed 7.342, 28.278 and 129.332, respectively for financial development to maintain a positive effect on energy consumption per capita. The study also confirms the positive nexus between access to finance (financial development) and energy consumption per capita, with the attending adverse effect on CO₂ emissions inescapable. The findings of this study make it evidently clear, for policy recommendation that finance is at the micro-foundation of economic growth, income inequality and poverty alleviation. However, a maximum threshold of income inequality and poverty headcount ratios as indicated in this study must be maintained to attain the full positive ramifications of financial development and economic growth on energy consumption in Sub-Saharan Africa.

The originality of this study is found in the computation of the threshold and net effects of poverty and income inequality in economic growth through the conditional and unconditional effects of finance.

The paper aims to examine the reality of, and, conditions for economic growth for former Soviet and Soviet Block economies with special attention to Ukraine and the Russian Federation. Many of these economies' transition from “Communism” remain plagued by problems of institutional design and outcomes characterized by high levels of corruption and low levels of accountability and transparency. The purpose of this paper is to analyze aspects of these socio‐economic realities in the context of contemporary economic theory and ongoing revisions to it.

The type of economic theory used to assess issues of transition has significant implications for public policy. Conventional economic theory has traditionally focused on secure private property rights, competitive markets, inclusive of “flexible” labor markets, as the necessary if not the sufficient conditions to successfully and quickly transition from command style to market economies. Little attention is paid to the details of institutional design. The paper applies a behavioral‐institutional analytical framework to analyze important aspects of failures and successes in transition economies using both economic and governance data sets.

The paper finds that traditional measures of economic freedom are far from sufficient to generate economic growth. Accountability and transparency in governance structures is also required. Economic failure and success are closely connected with overall performance in socio‐economic governance. Also an unnecessary emphasis on low wages, highly constrained social safety nets and labor market policy impedes successful growth and development.

Transition economies' economic performance can be significantly enhanced through improvements in institutional design that facilitates the evolution of high‐wage market economies. The market in and of itself does not suffice to generate successful transitions from command to vibrant market economies.

This paper provides an original exposé and analysis of transition economies from a behavioral‐institutionalist perspective, with important public policy implications.

The study aims to determine whether there is a bidirectional causality relationship between health expenditures and per capita income in Brazil, Russia, India, China, South Africa and Turkey (BRICS+T).

For that purpose, the 2000–2018 period data of the variables were tested with the Kónya (2006) panel causality test. Additionally, the causality relationships between public and private health expenditures and per capita income were also investigated in the study.

According to the analysis results, there is no statistically significant causality relationship from total health expenditures and public health expenditures to per capita income in the relevant countries. Besides, there is a unidirectional causality relationship from private health expenditures to per capita income only in Turkey. On the other hand, a unidirectional causality relationship from per capita income to total health expenditures in China, Russia, Turkey and South Africa and from per capita income to public health expenditures in India, Russia, Turkey and South Africa were determined. Consequently, a causality relationship from per capita income to private health expenditures was found out in Russia and Turkey.

The variables are tested for the first time for BRICS+T countries, vis-à-vis the period under consideration and the method used.

“It should also be noted that the objective of convergence and equal distribution, including across under-performing areas, can hinder efforts to generate growth. Contrariwise, the objective of competitiveness can exacerbate regional and social inequalities, by targeting efforts on zones of excellence where projects achieve greater returns (dynamic major cities, higher levels of general education, the most advanced projects, infrastructures with the heaviest traffic, and so on). If cohesion policy and the Lisbon Strategy come into conflict, it must be borne in mind that the former, for the moment, is founded on a rather more solid legal foundation than the latter” European Commission (2005, p. 9)Adaptation of Cohesion Policy to the Enlarged Europe and the Lisbon and Gothenburg Objectives.

This study is aimed at better understanding the evolution of inequality in carbon emission in intraincome and interincome groups in the world, and then to uncover the driving factors that affect inequality in carbon emission.

The approach is developed by combining the Theil index and the decomposition technique. Specifically, the Theil index is used to measure the inequality in carbon emissions from the perspective of global and each income group level. The extended logarithmic mean Divisia index was developed to explore the driving factors.

This study finds that the inequality in carbon emissions of intraincome group is getting better, whereas the inequality in carbon emission of interincome group is getting worse. And the difference in global carbon emissions between income groups is the main source of global carbon emission inequality, which is greater than that within each income group. In addition, the high-income group has transferred their carbon emissions to upper-middle income group by importing high-carbon-intensive products to meet the domestic demand, while lower-middle-income group do not fully participate in the international trade.

To alleviate the global carbon inequality, more attention should be paid to the inequality in carbon emission of interincome group, especially the trade between high-income group and upper-middle income group. From the perspective of driving factors, the impact of import and export trade dependence on the per capita carbon emissions of different income groups can almost offset each other, so the trade surplus effect should be the focus of each group.

In order to consider the impact of international trade, this study conducts a comprehensive analysis of global carbon emissions inequality from the perspective of income levels and introduces the import and export dependence effect and the trade surplus effect into the analysis framework of global carbon emission inequality drivers, which has not been any research carried out so far. The results of this paper not only provide policy recommendations for mitigating global carbon emissions but also provide a new research perspective for subsequent inequality research.

Bipolar and depression disorders are some of the most common mental health disorders affecting millions of people in low-and middle-income countries, including those in Africa. These disorders are therefore major contributors to the burden of diseases and disability. While an enhancement in income is seen as a major approach towards reducing the burden of these disorders, empirical evidence to support this view in the African context is lacking. This study therefore aims to examine the effect of per capita income growth on bipolar and depression disorders across African countries.

The study uses data from secondary sources comprising 42 African countries over the period, 2002–2019, to achieve its objective. The prevalence of bipolar and major depressive disorders (depression) are used as the dependent variables, while per capita income growth is used as the main independent variable. The system Generalised Method of Moments regression is used as the estimation technique.

In the baseline, the authors find per capita income growth to be associated with a reduction in the prevalence of bipolar (coefficient: −0.001, p < 0.01) and depression (coefficient: −0.001, p < 0.1) in the short-term. Similarly, in the long-term, per capita income growth is found to have negative association with the prevalence of bipolar (coefficient: −0.059, p < 0.01) and depression (coefficient: −0.035, p < 0.1). The results are similar after robustness checks.

This study attempts at providing the first empirical evidence of the effect of per capita income growth on bipolar and depression disorders across several African countries.

The purpose of this paper is to investigate the validity of the environmental Kuznets curve (EKC) between gross domestic product (GDP) per capita and environmental indicators in the Gulf Cooperation Council (GCC) countries. Additionally, this paper also explores the relationship between health and income levels in the GCC to identify whether higher incomes necessarily affect overall health metrics.

The first part of this paper studies the relationship between GDP per capita and the greenhouse gases (GHGs) – carbon dioxide (CO₂), nitrous oxide (N₂O) and methane (CH₄) (all per capita data). The second part of this paper explores the relationship between GDP per capita and the following health variables: life expectancy, infant mortality and child mortality – for GCC countries during 1980–2012. Unit root tests were conducted, followed by cointegration analysis, leading to Granger causality test and vector error correction model.

GCC states are highly dependent on fossil fuel production and hence depend on hydrocarbons for GDP growth. Most of the GCC states demonstrate lack of the EKC curve. However, there is evidence of U-shaped relationship between environmental pollutants and GDP per capita in kingdoms like Bahrain and Saudi Arabia (KSA). United Arab Emirates (UAE), on the other hand, demonstrates EKC, though not significantly. The study then explores the existence of potential relationship between health and GDP in the GCC, where it has been found that higher incomes have driven a better standard of living resulting in improved health metrics and higher life expectancy rates. Thus, growing incomes have played a positive role by improving health parameters and by offsetting some of the negative impacts from lack of environmental improvement as demonstrated by the absence of EKC in general in GCC.

GHG emissions data are individually and empirically examined for each country in the GCC. Furthermore, the study delves into the environmental problems that lead to health issues, which were initially caused by pollution. The results of the empirical analysis provide strong evidence that GCC countries need to rely less on fossil fuels, as lower productivity due to higher pollution reduces income and economic growth in most countries.

This study aims to explain the role of globalisation on the regional income growth disparities in the states of India and provinces in the People’s Republic of China (PRC).

The authors use two approaches to analyse regional growth disparities: growth accounting and the panel spatial Durbin model.

The growth accounting shows that contributions of growth of capital intensity (GKI) and total factor productivity growth (TFPG) distinguish the high-income (HI) regions from medium-income (MI) and lower-income (LI) regions in India. In the PRC, the contributions of GKI and TFPG in MI regions are slightly higher than HI regions, but significantly higher than the LI regions. The empirical results find that foreign direct investment (FDI), domestic investment, human capital, and interaction of FDI and human capital explain income growth states/provinces in India and the PRC. A region’s income growth and FDI inflows spread the benefit to neighbourhoods in both countries.

The paper contributes by performing a comparative analysis of Indian states and the PRC’s provinces by capturing the neighbourhood effects of economic growth, FDI, investment and human capital and also the interaction effects of FDI with human capital and domestic investment. A comparison of the decomposition of income growth to the growth of factor inputs and efficiency in Indian states and the PRC’s provinces also adds to the existing literature.