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This paper investigates the effect of income inequality on health status. A model of health status was specified in which the main variables were income level, income inequality, the level of savings and the level of education. The model was estimated using a panel data set for 44 countries covering six time periods. The results indicate that income inequality (measured by the Gini coefficient) has a significant effect on health status when we control for the levels of income, savings and education. The relationship is consistent regardless of the specification of health status and income. Thus, the study results provide some empirical support for the income inequality hypothesis.

This research explores how skill proficiencies are distributed between low-income and not-in low-income groups using the results of a highly complex survey of the information-processing skills of Canadians between the ages of 16 and 65. We find that having measures of skills enhances our understanding of the correlates of low income. Skills have an independent effect, even when controlling for other known correlates of low income, and their inclusion reduces the independent effect of education and immigrant status. This result is relevant for public policy development as the knowledge of the skills profile of the low-income population can inform the design of efficient and effective programmes.

Cross-country studies have shown that higher costs to starting a business tend to reduce entrepreneurship (Chambers and Munemo, 2019) and that an unfavorable environment for business can increase poverty and income inequality (Chambers et al., 2019a; Djankov et al., 2018). Building on the current literature, the authors test whether barriers to starting a business at the state and city level in the USA are associated with changes in entrepreneurship and income inequality.

Measures of entrepreneurship (establishment entry rate and exit rate) are regressed on measures of barriers to entry in a cross-section of 50 states as well as a cross-section of 73 cities in the USA. Further, the authors regress measures of income inequality on measures of barriers to entry using the same two cross-sections. State level data on barriers to entry are from Teague (2016), published in the Journal of Entrepreneurship and Public Policy. City level data on barriers to starting a business are from the Doing Business in North America (DBNA) dataset.

Results show that there is a negative and significant association between barriers to starting a business and the rate of firm exit. A standard deviation increase in barriers to entry is associated with a five percent decrease in the firm exit rate at the state level. The authors find only limited evidence that barriers to entry are associated with income inequality.

Despite a large volume of scholarship on how regulation and barriers to entry influence entrepreneurship, no study (to the authors’ knowledge) has investigated how general entry regulation affects the entry or exit rate of establishments at the state or municipal level in the USA.

China's increasing income inequality might cause a series of problems, such as the slowdown of economic growth, social and economic tension, the decline of the ecological environment quality and the threat to citizens' health. Consequently, income inequality will inevitably affect the ecological well-being performance (EWP) level of China's provinces through the above aspects. Analyzing the impact of income inequality on EWP and its spatial spillover effects are conducive to improving the level of EWP in China. Therefore, the research purpose of this paper is to use China's provincial data from 2001 to 2017 to analyze the impact of income inequality on EWP and the spatial spillover effect based on the evaluation of the EWP value of each province.

At first, this study utilizes the super efficiency slacks-based measure model (Super-SBM model) to calculate the EWP values of 30 provinces in China, which can evaluate and rank the effective decision units in the SBM model and make up for the defect that the effective decision units cannot be distinguished. Then this study applies the spatial Durbin model and Tobit regression model (SDM-Tobit model) to explore the impact of income inequality and other influencing factors on EWP and the spatial spillover effects in adjacent areas.

Firstly, the average EWP in China fluctuated slightly and showed a downward trend from 2001 to 2017. In addition, the EWP values of the provinces in the western region are usually weaker than those in the eastern and central regions. Moreover, income inequality is negatively correlated with EWP, and the EWP has a spatial spillover effect, which means the EWP level in a region is affected by EWP values in the adjacent regions. Furthermore, the industrial structure and urbanization level are both negatively related to EWP, while technology level, investment openness, trade openness and education level are positively related to EWP.

Compared with the existing research, the possible contribution of this research is that it takes income inequality as one of the important influencing factors of EWP and adopts the SDM-Tobit model to analyze the impact mechanism of income inequality on EWP from the perspective of time and space, providing new ideas for improving the EWP of various provinces in China.

A wide urban–rural income gap exists in China despite the implementation of pro-rural policies. Additionally, with the proliferation of the internet and information technology, the promotion effect of e-commerce on the economy has become apparent. Accordingly, China has been actively encouraging rural households to participate in e-commerce activities. This study aims to examine the effect of e-commerce on the urban–rural income gap.

In the study, linear and panel threshold models were applied to provincial-level panel data from 2002 to 2018.

The results of the linear model show that e-commerce contributes to narrowing the urban–rural income gap. Moreover, the panel threshold model results show that the narrowing effect exists in regions where the e-commerce intensity is at a medium-to-high level and urbanization is at a relatively low level; otherwise, e-commerce has no effect. In addition, in regions with a relatively high level of public expenditure and education, the income-gap-narrowing effect of e-commerce is more than double.

The urban–rural income gap can be reduced by promoting e-commerce and reducing the urban–rural divide in e-commerce use.

To determine how varying levels of e-commerce development affect the urban–rural income gap across regions, the study proposes four key causes of the digital divide in e-commerce: e-commerce intensity, public expenditure level, urbanization level and education level and applies the variables as threshold variables to examine the non-linear effect of e-commerce on the income gap.

The purpose of this study is to evaluate the association between economic activity in a country, as measured by the gross domestic product (GDP) and the control of the COVID-19 pandemic outcomes, as measured by the rate of incidence and mortality increase per 100,000 population in different countries using up-to-date data, in the light of public health security capacities including prevention, detection, respond, enabling function, operational readiness, as measured by the 2019 State Party self-assessment annual reporting (SPAR) submissions of 100 countries.

For this analytical study, multiple linear regression analyses were performed for each variable with the COVID-19 incidence and mortality rates, while controlling for Human Development Index (HDI) and GDP.

Countries with higher income levels were significantly more likely to have a higher incidence and mortality rate per 100,000 population. Among the public health capacity categories, prevention of the infectious disease and detection of the pathogens were significantly associated with lower incidence and mortality of the COVID-19 pandemic. The country-level income was found to be an important negative predictor of COVID-19 control.

These findings present to decision-makers in organizing mitigation strategies to struggle emerging infectious pandemics and highlight the role of country-level income while trying to control COVID-19. In order to determine the priority settings for the fight against pandemic, national policy-makers and international organizations should notice that countries in a high-income group had better health security capacities than that of other income groups, particularly in low- and lower-middle-income groups. The results of the capabilities of health security by the income group can assist health policy makers and other international agencies in resource allocation decisions and in mitigating risk with more informed resource planning.

The income level of countries may have a positive effect on public health strategies to mitigate the risk of infection of COVID-19. This study may assist the local public authorities to gain a better level of understanding on the relationship country-level income and COVID-19 outcomes in order to take appropriate measures at the local level. The results also highlighted the importance role of public health security capacities for the pandemic control policy.

Although previous studies have examined to assess the public health capability by country-level and to describe cases and deaths by continent and by country, very limited studies have evaluated the rate of incidence and mortality of COVID-19 by country-level income and by health expenditure using the data on the health security capacities with analytical and practical approaches.

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.

This book is a policy proposal aimed at the democratic left. It is concerned with gradual but radical reform of the socio‐economic system. An integrated policy of industrial and economic democracy, which centres around the establishment of a new sector of employee‐controlled enterprises, is presented. The proposal would retain the mix‐ed economy, but transform it into a much better “mixture”, with increased employee‐power in all sectors. While there is much of enduring value in our liberal western way of life, gross inequalities of wealth and power persist in our society.

Purpose – This chapter investigates vulnerability to poverty in the Republic of Haiti.

Methodology – We use a hierarchical modeling technique to allow the assessment and decomposition of vulnerability to poverty by exploiting the short-panel structure of nested data in a cross section.

Originality – Specifically, a three-level hierarchical model with a partially Bayesian restricted maximum likelihood is used in the estimation procedure. This is novel in this literature.

Findings – The decomposition method adopted in this chapter reveals that vulnerability in the Republic of Haiti is largely a rural phenomenon and is correlated negatively with schooling. The results also disclose the lack of equality in various aspects of circumstances or opportunities, including education, as the salient factor determining the status and level of vulnerability of households. Most importantly, among the different shocks affecting household's income, it is found that meso-level shocks are in general far more important than covariate shocks. This finding points to some interesting policy implications in terms of decentralizing policies and delegating more powers and providing better means to local governments to enhance household resilience to shocks and to alleviate their vulnerability to poverty.

This study aims to contribute to the existing literature by empirically investigating the impact of digital competitiveness and technology on corruption under the moderating effect of some cultural and economic control variables and providing evidence on the links between corruption and various cultural dimensions at the country level.

The cross-sectional sample covers 61 countries (41 high-income and 20 lower-income countries) during the 2016–2020 period, and the analysis was carried out for both the full sample and the subsamples.

The results provide clear evidence supporting the hypothesis that digitalisation and technology significantly affect the perceived level of corruption under the moderating role of cultural framework and economic development. Furthermore, the most significant cultural dimensions of corruption are individualism versus collectivism, uncertainty avoidance, long-term orientation and indulgence versus restraint, even if, in some cases, its influence might be felt differently when the results are estimated on subsamples. Thus, in the case of indulgence versus restraint, high-income countries with higher indulgence scores would register higher scores for the corruption perception index and thus a better control of corruption, while for lower-income countries, the more indulgent these countries are, the weaker the corruption control will be. Furthermore, our results validate a powerful and significant correlation between the index of economic freedom and corruption in both digitalisation and technology.

This study may have relevant implications for policymakers who need to recognise the role of digitalisation and technology in the fight against corruption but considering the cultural and economic characteristics specific to each country.

To the authors' knowledge, the relationship between digital competitiveness, technology and corruption within an economic and cultural framework, while highlighting the differences between high-income and lower-income countries, has not been previously documented in the literature. Thus, this article argues that the level of digital competitiveness and the adoption of technology would significantly impact the level of perceived corruption, although this impact could be felt differently by countries in the high-income category compared to countries in the lower-level income category.