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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.

In large parts of the world, income inequality has been rising in recent decades. Other regions have experienced declining trends in income inequality. This raises the question of which mechanisms underlie contrasting observed trends in income inequality around the globe. To address this research question in an empirical analysis at the aggregate level, we examine a global sample of 73 countries between 1981 and 2010, studying a broad set of drivers to investigate their interaction and influence on income inequality. Within this broad approach, we are interested in the heterogeneity of income inequality determinants across world regions and along the income distribution. Our findings indicate the existence of a small set of systematic drivers across the global sample of countries. Declining labour income shares and increasing imports from high-income countries significantly contribute to increasing income inequality, while taxation and imports from low-income countries exert countervailing effects. Our study reveals the region-specific impacts of technological change, financial globalisation, domestic financial deepening and public social spending. Most importantly, we do not find systematic evidence of education’s equalising effect across high- and low-income countries. Our results are largely robust to changing the underlying sources of income Ginis, but looking at different segments of income distribution reveals heterogeneous effects.

This study investigates the tax evasion practices in a lower-middle income economy in South Asia, with specific reference to Bangladesh (which is the only economy within South Asia that had consistent 6% and above gross domestic product (GDP) growth from 2011 to 2013). This study adopted mixed methodology (documentary analyses and a focus group interviews with 20 participants) to reach the overall objective of the research. Using Hofstede et al.’s (2010) cultural theory, the contribution of the study is that the cultural dimension itself cannot correspond to the causes of tax evasion, the other institutional factors (e.g., political connectedness in both private and public sectors, multinational companies (MNC)’s role and corruption, and a lack of public sector accountability and enforcement) are needed to complement the causes of tax evasion. The second major contribution is that Hofstede’s last two dimensions (i.e., short-term and restraint society) can correspond to the preliminary four dimensions (i.e., uncertainty avoidance (UA), masculinity, power distance (PD), and individualism). A restraint society such as Bangladesh is short-term oriented and has established corruption norms and secretive culture. There is also a perception by corporate business that the tax system as unfair and this has major consequences for the poor and the level of trust between the tax authorities and the taxpayers. This study also questions Hofstede’s model application in other developing economies with military and democracy political regimes. The major policy implications include Income Tax Ordinance, the reform of tax administration and enforcement. The novelty of this study rests in the fact that the findings may well inform local and international policymakers (e.g., World Bank, International Monetary Fund (IMF), Organisation for Economic Co-operation and Development (OECD), and the Asian Development Bank (ADB)) regarding how to tackle tax evasion practices in lower-middle income economies like Bangladesh. Further, it fills a gap in the literature exploring tax evasion in a lower-middle income economy – in this case, Bangladesh.

The paper offers the first systematic and comprehensive analysis of dynamics of economic growth slowdown for India at the sub-national level covering the period 1993–2013. In light of India’s regional diversity and variation in terms of gross regional domestic product (GRDP) per capita, the purpose of this paper is to empirically investigate the growth dynamics at the sub-national level. The paper aims to answer two questions: first, are determinants of economic slowdown likely to differ across income groups? Second, what are the probabilities that the sub-national economies in India will experience a growth slowdown in the near future?

The paper undertakes a comprehensive analysis of growth slowdown for 106 Asian developing economies encompassing the national economies in ASEAN and the sub-national economies in Greater China, Indonesia and India. To be sure, the authors are not making any direct comparison to countries at different stages of economic development; rather, the comparison is between economies/sub-national economies that fall in the same income category. The authors construct income group-specific logistic model to identify the relevant determinants of growth slowdown and use Bayesian model averaging techniques as a robustness check. The authors also compute economy-specific predictive probabilities of growth slowdown over the period 2012–2017.

The empirical results show that a growth slowdown in various income groups tends to be associated with different sets of determinants, although broadly, across all income groups, the occurrence of growth slowdown is positively associated with higher GRDP per capita. The average predictive probability of growth slowdown for India’s sub-national economies is 0.43, indicating that, on average, India’s sub-national economies have a 43 per cent chance of experiencing growth slowdown in the 2012–2017 period. Overall, the prospects of the sub-national economies of India are less worrying than that of Greater Chinese economies but bleaker than the outlook for economies in ASEAN and Indonesia.

The research contributes to the understandings of growth dynamics, especially the issue of growth slowdown, in India. This paper differs from the existing literature on growth dynamics by being India centric and analysing the issue of growth slowdown at the sub-national level. Despite a steady increase in the level of GRDP per capita for the sub-national economies of India since 1993, significant disparities still exist across economies. Identifying determinants of growth slowdown and subsequently computing predictive probabilities serves as early warning signs for policy-makers and generates insights on how development policy can be shaped.

The purpose of this paper is to simulate the indirect and direct effects of remittances in developing countries.

The paper estimates a dynamic macroeconomic model and estimates the short‐run and long‐run dynamic multiplier effects of hypothetical temporary changes in remittances, as well as simulates the permanent effects of observed remittances.

The results indicate positive multiplier effects in general, and they also reveal a substantial variability across income categories and regions. The results indicate that low‐income economies are more inclined to spend their incomes on consumption and investments than middle‐income economies and, therefore, have a higher short‐run potential gain from receiving remittances. Low‐income economies typically reside in Sub‐Saharan Africa, whereas middle‐income economies are mainly found in East Europe, Latin America and North Africa and the Middle East. However, actual gains from remittances are highest in lower middle‐income economies because these countries receive more remittances. Generally, the short‐run effects are higher than the long‐run effects due to a sustained dependence of imported goods and services.

The paper analyzes the effects of remittances on components in aggregate demand.

The results support the World Bank's current policy recommendation that remittances should be promoted.

The paper corrects the algebraic solution for dynamic multiplier effects in Glytsos's work, written in 2005, and estimates the model for a macroeconomic panel containing 115 developing countries. The paper considers the effects of the net flows of remittances rather than of inflows only.

This study examines the impact of trade openness, human capital, public expenditure and institutional performance on unemployment in various income groups of Organization of Islamic Cooperation (OIC) countries.

Traditional panel data methodologies neglect the issue of cross-sectional dependence and provide ambiguous outcomes. A novel approach, “dynamic common correlated effects (DCCE)”, is utilized in this study to tackle with aforementioned issue. Pooled mean group (PMG) estimation is also applied to verify the robustness of the findings.

The long-run estimates show that trade openness has a significant and negative relationship with the unemployment rate in overall and lower-income OIC economies and a positive correlation with unemployment in higher-income OIC countries. Public expenditure is negatively and significantly correlated with unemployment in higher-income and overall OIC economies. Moreover, human capital reduces unemployment in higher-income and overall OIC countries while increases unemployment in lower-income OIC economies.

The research tends to endorse the argument for continuous trade openness policy along with efficient use of public expenditure and improved institutional performance to reduce unemployment in OIC countries.

The DCCE approach in this research considers heterogeneity and cross-sectional dependence between cross-sectional units and thus gives robust outcomes.

Attempts to discover an internal logic in the high‐speed events taking place in the former Soviet Union. In addressing the problems of the country′s disintegration, examines the issue in its socioeconomic, political and territorial‐administrative aspects. Analyses, for this purpose, the nature of Soviet society prior to Gorbachev′s reforms, its present transitional stage and its probable direction in the near future.

The purpose of this study is to understand the factors that contribute to the number of reported coronavirus (COVID-19) deaths among low-income and high-income countries, and to understand the sources of differences between these two groups of countries.

Multiple linear regression models evaluate the socio-economic factors that determine COVID-19 deaths in the two groups of countries. The Oaxaca–Blinder decomposition is used to examine sources of differences between these two groups.

Low-income countries report a significantly lower average number of COVID-19 deaths compared to high-income countries. Community mobility and the easiness of carrying the virus from one place to another are significant factors affecting the number of deaths, while life expectancy is only significant in high-income countries. Higher health expenditure is associated with more reported deaths in both high- and low-income countries. Factors such as the transport infrastructure system, life expectancy and the percent of expenditure on health lead to the differences in the number of deaths between high- and low-income countries.

Our study shows that mobility measures taken by individuals to limit the spread of the virus are important to prevent deaths in both high- and low-income countries. Additionally, our results suggest that countries with weak health institutions underestimate the number of deaths from COVID-19, especially low-income countries. The underestimation of COVID-19 deaths could be affecting a great number of people in poverty in low-income economies.

This paper contributes to the emerging literature on COVID-19 and its relation to socio-economic factors by examining the differences in reported between deaths between rates in low-income and high-income countries.

This study examines whether unemployment affects the relationship between income inequality and food security in 143 advanced and developing economies from 2000 to 2019. The authors specifically explore whether unemployment can weaken the negative impact of income inequality on food security.

The authors estimate a new and robust index of food security using a generalized least squares approach. The authors then employ the system generalized method of moments to estimate the model as it allows the authors to control for endogeneity and simultaneity. The authors estimate an interaction term to account for the moderating impact of unemployment.

The authors consistently find that income inequality has a negative and significant association with food security. However, the results differ between advance and developing economies. The authors find that unemployment rates have a negative relationship with food security in the sample of developing countries, where high levels of unemployment exacerbate the adverse effects of income inequality on food security. This is insignificant for advanced economies.

The major limitation lies in the use of aggregated data, which overlooks the issue of food security at the household or individual level.

Policymakers in developing economies can ensure job security in order to lessen the adverse effects of income inequality on food security.

This study provides new empirical evidence on whether unemployment can potentially moderate and alleviate the impact of income inequality in advanced and developing economies.

This study aims to examine the effects of energy consumption on economic growth by means of a panel data analysis of 75 net energy-importing countries for the period 1990 to 2012.

For the purpose of the analysis, the countries are classified into two groups, and each group is then classified into subgroups. The first group is formed based on the energy import dependence of the countries and is classified into two subgroups according to whether their dependence is greater than or less than 50 per cent. The second group is formed based on the income level of the countries and is classified into four subgroups, specifically, low-income economies, lower-middle-income economies, upper-middle-income economies and high-income economies.

The findings obtained for both panel data and for each country indicate that there is a positive and statistically significant relationship between energy consumption and economic growth over the long term such that energy consumption contributes more to economic growth as the import dependence of the country decreases. Moreover, the effect of energy consumption on economic growth decreases as the income level of the country increases. This indicates that the efficient use of energy is as important as energy consumption, which is regarded as an important indicator of economic development.

The authors expect that these findings will make a valuable contribution to the results of future studies, as they analyze the relationships among the variables by including the energy intensities of the countries.

Este estudio examina los efectos del consumo de energía en el crecimiento económico, mediante un análisis de datos de panel de 75 países importadores netos de energía para el período 1990-2012.

A los efectos del análisis, los países se clasifican en dos grupos y cada grupo luego se clasifica en subgrupos. El primer grupo se forma en base a la dependencia de los países en materia de importación de energía y se clasifica en dos subgrupos según su dependencia sea superior o inferior al 50%. El segundo grupo se forma sobre la base del nivel de ingresos de los países y se clasifica en cuatro subgrupos: economías de ingresos bajos, economías de ingresos medios-bajos, economías de ingresos medios-altos y economías de ingresos altos.

Los hallazgos obtenidos, tanto para los datos de panel como para cada país, indican que existe una relación positiva y estadísticamente significativa entre el consumo de energía y el crecimiento económico a largo plazo, de modo que el consumo de energía contribuye más al crecimiento económico a medida que disminuye la dependencia de las importaciones del país. Además, el efecto del consumo de energía en el crecimiento económico disminuye a medida que aumenta el nivel de ingresos del país. Esto indica que el uso eficiente de la energía es tan importante como el consumo de la misma, que se considera un indicador importante del desarrollo económico.

Los autores esperan que estos hallazgos aporten una valiosa contribución para estudios futuros, ya que analizan las relaciones entre las variables mediante la inclusión de las intensidades de los países.

Consumo de energía, Crecimiento económico, Importadores netos de energía, Panel de datos

Artículo de investigación