Decentralisation and income inequality in Central and Eastern European countries

This paper provides empirical evidence for the association between fiscal decentralisation and income distribution for a panel of 11 economies from Central and Eastern Europe (CEE) during 1992–2016. We focus on three research topics: the effect of decentralisation on income inequality; the effects of the structure of subnational government finance on income inequality; and the validity of the Kuznets hypothesis. The main findings from the empirical exercise are as follows: first, we provide firm evidence on the presumed favourable effects of fiscal decentralisation on income distribution in the CEE countries; second, our empirical model suggests that the effects of fiscal decentralisation on income inequality are dependent on the source of finance of subnational governments, i.e. intergovernmental transfers may have a role in income equalisation; third, we cannot confirm the validity of the Kuznets hypothesis in CEE countries.     

STRUCTURAL CHANGES AND THE DISTRIBUTION OF INCOME BY SIZE: THE CASE OF INDIA

The interrelation between changes in the economic structure, i.e., industrial distribution of income and labor force, and the size distribution of income is studied in this paper in a case study of India (1951–1960).
The change in the size distribution of income is the sum of changes due to (1) inter-sectoral factors and (2) intra-sectoral factors. The need for this distinction is emphasized by the result obtained for India, that 85% of the changes in the size distribution may be assigned to inter-sectoral factors, and only 15% to intra-sectoral factors. Since the inter-sectoral factors are significantly influenced by changes in the industrial distribution of income and labor force, our result points out a relation between economic growth and the size distribution which quite often is overlooked in studies of the size distribution.
The results obtained in this paper support several cross-section results of Professor Kuznets. In particular some of these are: (a) inter-sectoral inequality in the economic structure widened with economic growth, (b) the inequality in the size distribution of India widened, (c) the level of inequality in India is higher than in any of the eight developed countries considered.     

MEASUREMENT OF THE DISTRIBUTION OF WEALTH IN CANADA

The only periodic data available in Canada on the asset holdings and net worth of the household sector are data collected through a series of household surveys originally initiated in 1954. Some limited data on the holdings of financial claims by the personal and unincorporated business sector are available from flow of funds work. Data are unavailable for estimation from estate tax returns.
The scope of the surveys has been expanded substantially so that the most recent survey obtained a very comprehensive list of asset holdings. The experience with Canadian surveys has been similar to that of other countries; surveys appear to underestimate asset holdings although the estimates are more reliable for widely held assets than for assets with a very skewed distribution. Nevertheless, the surveys appear to trace the accumulated distribution of personal savings over time to a considerable degree and provide useful cross-sectional trend data.
Canadian data show that wealth is more unequally distributed among family units than is income although wealth appears to be more equally distributed between income groups than is income. Wealth is also very unequally distributed within the same income group. Over time, there appears to have been some movement towards a more equal distribution of asset holdings between income groups.     

Corruption, Income Distribution, and Growth

This paper uses an encompassing framework developed by Murphy et al. (1991, 1993) to study corruption and how it affects income distribution and growth. We find that (1) corruption affects income distribution in an inverted U-shaped way, (2) corruption alone also explains a large proportion of the Gini differential across developing and industrial countries, and (3) after correcting for measurement errors, corruption seems to retard economic growth. But the effect is far less pronounced than the one found in Mauro (1995). Moreover, corruption alone explains little of the continental growth differentials. In countries where the asset distribution is less equal, corruption is associated with a smaller increase in income inequality and a larger drop in growth rates.     

EVIDENCE ON RELATIONSHIPS AMONG ALTERNATIVE MEASURES OF CONCENTRATION: A TOOL FOR ANALYSIS OF LDC INEQUALITY

The evidence on economic inequality in nearly all developing countries is both seriously incomplete and of moderate to poor quality. In addition, information often corresponds to distributions which appear to be less revealing and useful than other ones; thus it can be argued that the frequently available distribution of income among households ranked by household income is less helpful than the seldom found distribution of consumption among persons ranked by per capita household consumption. Whether one's objective is to assess inequality in some absolute sense or (especially) to make comparisons across countries or evaluate trends over time, it is useful to know whether systematic relationships exist among various measures of inequality, in particular between those most commonly available and those conceptually most interesting. Illustrative comparisons of a variety of inequality indicators are presented. They suggest that in developing countries the concentration of income among persons (assuming equal distribution within the family) does not differ much from the concentration among households. They also suggest that the concentration of consumption is somewhat less unequal than that of income, the ratio of the respective Gini coefficients tending to cluster around 0.85 to 0.90.     

Income inequality and export prices across countries

This paper provides theory and evidence on the links between income inequality within a destination country and the patterns of trade and export prices. The theoretical framework relates income inequality to product quality and prices using a simple demand composition effect. The model predicts that a more unequal income distribution in a destination country leads to higher average prices, though the effect is nonlinear and disappears for rich enough countries. The predictions are tested using detailed firm‐level data. Controlling for income per capita, prices are systematically higher in more unequal destinations, and the strength of this effect depends on income per capita. Results are particularly important for middle‐income countries and hold only for differentiated goods, and in particular for products with a high degree of vertical differentiation.     

Modeling income inequality and openness in the framework of Kuznets curve: New evidence from China

This article tests the relationship between openness and income inequality in openness Kuznets curve framework. The Auto Regressive Distributed Lag (ARDL) estimator is employed to establish the long run relationship between openness and income inequality. We add to the literature by noting that Kuznets curve fits the relationship between openness and income equality in the case of China. This evidence is new and in line with the Kuznets hypothesis that income inequality rises with the increase of openness and then starts fall after a critical point.     

Education and Income Inequality: New Evidence From Cross-Country Data

This paper presents empirical evidence on how education is related to income distribution in a panel data set covering a broad range of countries for the period between 1960 and 1990. The findings indicate that educational factors—higher educational attainment and more equal distribution of education —play a significant role in making income distribution more equal. The results also confirm the Kuznets inverted–U curve for the relationship between income level and income inequality. We also find that government social expenditure contributes to more equal distribution of income. However, a significant proportion of cross–country variation in income inequality remains unexplained.     

Inequality and Growth in a Panel of Countries

Evidence from a broad panel of countries shows little overall relation between income inequality and rates of growth and investment. For growth, higher inequality tends to retard growth in poor countries and encourage growth in richer places. The Kuznets curve—whereby inequality first increases and later decreases during the process of economic development—emerges as a clear empirical regularity. However, this relation does not explain the bulk of variations in inequality across countries or over time.     

CO2 Emissions and Income Dynamics: What Does the Global Evidence Tell Us?

This paper analyzes the co-evolution of two major determinants of social welfare, namely, income and carbon emissions. In particular, by using a distribution dynamics approach based on Markov chains, we investigate the shape and behavior of the joint distribution of per-capita income and carbon dioxide emissions. We arrive at several interesting conclusions, especially in the context of international negotiations on climate change. First, evidence does not support theoretical models predicting the existence of a poverty-environment trap. Specifically, in the long-run two main groups of countries will emerge: poor versus polluting countries. Second, the typical development path leads initially to high emission levels and, subsequently, to high income. Third, the convergence process towards the stationary distribution is very slow. Finally, for carbon emissions, whenever it is observed, the environmental Kuznets curve seems to be only a transitory phenomenon.     

Brazil and China: Two Routes of Economic Development?

We look at two emerging economies, Brazil and China, and propose an evaluation of their recent development in terms of growth performance and the evolution of income inequality. Our analysis, therefore, is related to the literature on their recent vast growth and also to the much debated Kuznets curve and theory. However, we claim that neither the growth nor the Kuznets approach capture recent relevant phenomena characterizing such countries' dynamics: namely, the presence of at least two distinct growth models. Cointegration analysis and empirical evidence seem to corroborate our interpretation. They also offer some further insights. We surmise that while contributing to press for a further re‐examination of convergence in the light of the issue of income distribution, such findings have interpretative relevance and policy implications for other less developed countries.     

The Role of Age and Gender in Educational Expansion: The South Asian Experience in the Global Context

I calculate education Gini coefficients and decompose the overall degree of educational inequality into age, sex, and within‐group components for 171 countries from 1970 to 2010. Doing so enables me to analyze the distributional outcomes of educational expansion. I use South Asia as a case study, as the education distribution in the region is among the most unequal in the world. Generally, educational inequality is decreasing over the observed sample period around the globe. Yet, as improvements are initiated by enhancing the educational opportunities of the young, the gap between cohorts widens in transition phases but vanishes thereafter. Gaps between the sexes are reduced substantially, but widen if either males or females are the first to enter higher education levels. Also, gaps within population subgroups follow a similar trajectory. Instead of a Kuznets‐curve relation, I thus find evidence for educational inequality to evolve in waves as education expands.     

Asset inequality over the life cycle

This note seeks to explain an interesting empirical regularity in the inequality of asset holdings stratified by the age of individuals. The regularity, which has evidently been overlooked, is that Gini coefficients of assets follow a U-shaped pattern over the life cycle. This pattern spans more than a century of diverse survey data from the United States. The theoretical explanation of the regularity is based on the hypothesis that inherited assets are intrinsically more unequal than accumulated savings, and that bequests are intrinsically more unequal than lifetime consumption. Shifts in the relative importance of inherited assets and bequest would then explain changes in the inequality of total assets.     

The geography of natural resources,ethnic inequality and civil conflicts

We study whether the spatial distribution of natural resources across different ethnic groups within countries causes spatial inequality and the incidence of armed conflict. By providing a theoretical rent-seeking model and analysing a set of geo-coded data for mines, night-time light emissions, local populations and ethnic homelands, we show that the spatial distribution of resources is a major driving factor of ethnic income inequality. Moreover, a spatially unequal distribution of natural resources induces rent-seeking behaviour and thus increases the risk of civil conflicts. Consequently, we extend the perspective of the resource curse to explain cross-country differences in income inequality and the onset of civil conflicts.     

Redistribution in the age of austerity: evidence from Europe 2006–2013

We examine the relationship between changes in a country’s public sector fiscal position on inequality at the top and bottom of the income distribution during the age of austerity from 2006 to 2013. We use a parametric Lorenz curve model and Gini-like indices of inequality as our measures to assess distributional changes. Based on Statistics of Income and Living Conditions (EU-SILC) and IMF data for 12 European countries, we find that more severe adjustments to the cyclically adjusted primary balance (i.e., more austerity) are associated with a more unequal distribution of income driven by rising inequality at the top. The data also weakly suggests a decrease in inequality at the bottom. The distributional impact of austerity measures reflects the reliance on regressive policies and likely produces increased incentives for rent-seeking while reducing incentives for workers to increase productivity.     

INEQUALITY OF OPPORTUNITIES VS. INEQUALITY OF OUTCOMES: ARE WESTERN SOCIETIES ALL ALIKE?

This paper analyzes the relationship between income inequality and inequality of opportunities for income acquisition in nine developed countries during the 1990s. Equality of opportunity is defined as the situation where income distributions conditional on social origin cannot be ranked according to stochastic dominance criteria. We measure social origin by parental education and occupation and use the database built by Roemer et al. (2003 ). Stochastic dominance is assessed using nonparametric statistical tests. Our results indicate strong disparities in the degree of equality of opportunity across countries and a strong correlation between inequality of outcomes and inequality of opportunity. The U.S. and Italy show up as the most unequal countries in terms of both outcome and opportunity. At the opposite extreme, income distributions conditional on social origin are almost the same in Scandinavian countries even before any redistributive policy. We complement the ordinal comparison by resorting to an original scalar “Gini” index of opportunities, which can be decomposed into a risk and a return component. In our sample, inequality of opportunity is mostly driven by differences in mean income conditional on social origin, and differences in risk compensate the return element in most countries.     

Income Inequality in Malaysia*

The objective of this paper is to examine the changes in Malaysian income distribution during the last three and a half decades and the reasons for the changes. It was found that the Gini ratio for Malaysia peaked in 1976 and fell thereafter to 1990. However, inequality seems to reverse its direction since then. Policies that could explain the changes in income distribution include the promotion of export‐oriented industrialization, education, and training, and the restructuring of equity ownership and assistance in asset accumulation. While the various other redistributive measures in the form of rural development helped in poverty eradication, their effectiveness in redistribution needs to be improved. Several hypotheses have been forwarded to explain the widening of income inequality after 1990. These include the difference in the growth rates of incomes of the rural and urban areas, trade and globalization, and impediments to the process of internal migration.     

Inequality and Participative Democracy: A Self-Reinforcing Mechanism

During the last three decades, a notable increase in economic inequality is observed, accompanied by a decline in people's engagement in politics and electoral participation. This is an unsatisfactory phenomenon as it undermines the legitimacy of democratic representation. This negative association is produced by a complex salient mechanism. This study aims at investigating this issue. Using data from a panel of 28 OECD and European countries, this paper identifies a two-way causal relationship between inequality and political participation. The results show that greater income inequality alienates and discourages people from engaging with common affairs, thus leading to lower political participation. Yet, lower electoral participation leads towards a less equitable distribution of income. Hence, this study reveals a self-reinforcing mechanism where the unequal distribution of income leads to political exclusion, which in turn leads to more inequality.     

Perceptions of inequality

Individual perceptions of (income or wealth) inequality have strong effects on their decisions as economic agents or voters. It is therefore important to know more about the relation between perceived and measured inequality. We present a novel formal framework that is based on the assumption that people typically do not observe the entire income (wealth) distribution and that their guesses about the extent of inequality are based on “self-centered” reference groups. This framework predicts that perceptions of inequality will change along positions in the income distribution and that for a specific position various dimensions of inequality perception are related to each other. First, low (high) income individuals overestimate (underestimate) their own position. Second, subjective estimates of average earnings increase with the own income position. Third, high or low income people have different perceptions about the skewness and the “shape” of the income distribution (e.g. pyramid or diamond). Fourth, the subjective perception of inequality is lower for high-income individuals. Survey data from 40 countries provide strong support for the framework.     

Income inequality in China: causes and policy responses

The phenomenal economic growth in China has been accompanied by a rapid increase in income inequality. This paper reviews the historical trends and patterns of income inequality in China, discusses the potential causes underlying rising income inequality, and applies the functional distribution of income approach in understanding China’s income inequality. This analytical approach highlights how rising return to capital relative to wage incomes can be an important source for increasing income inequality in China. The paper provides the evidence which shows that the rapid economic growth in China has been relying on a model that pays high returns to various kinds of capital including financial capital and real estate, while the ownership of capital is very unequal. This finding prompts us to rethink about the causes of China’s income inequality and to formulate appropriate policies based on the new way of understanding this pressing issue of income distribution in China.