Inequality and income: The mediating effects of social spending and risk

This paper estimates models of social spending, income risk, and per capita income levels using data from a post-war panel of OECD (Organisation for Economic Cooperation and Development) countries. The objective is to test two theories about the pathway from inequality to per capita income. According to one theory, inequality reduces incomes because it induces social spending, which acts as a drag on the economy. The results here suggest, however, that inequality does not seem to induce social spending, and social spending does not seem to lower per capita incomes. According to a second theory, inequality causes upheaval which adds to the volatility of per capita income, which may reduce the level of per capita income. The results suggest, however, that volatility, measured here as the standard deviation of per capita income, has little measurable impact on either per capita income or social spending. The mainsprings of per capita income are more likely to be the traditional factors: the work force, human capital, and physical capital.
JEL classification: E6.     

Inequality and economic growth: the role of initial income

We estimate a panel model where the relationship between inequality and GDP per capita growth depends on countries’ initial incomes. Estimates of the model show that the relationship between inequality and GDP per capita growth is significantly decreasing in countries’ initial incomes. Results from instrumental variables regressions show that in Low Income Countries transitional growth is boosted by greater income inequality. In High Income Countries inequality has a significant negative effect on transitional growth. For the median country in the world, that in the year 2015 had a PPP GDP per capita of around 10000USD, IV estimates predict that a 1 percentage point increase in the Gini coefficient decreases GDP per capita growth over a 5-year period by over 1 percentage point; the long-run effect on the level of GDP per capita is around ??5%.     

On poverty traps,thresholds and take-offs

Recent studies on economic growth focus on persistent inequality across countries. In this paper we study mechanisms that may give rise to such persistent inequality. We consider countries that accumulate capital in order to increase the per capita income in the long run. We show that the long-run growth dynamics of those countries can generate a twin-peak distribution of per capita income. The twin-peak distribution is caused by (1) locally increasing returns to scale and (2) capital market constraints. These two forces give rise to a twin-peaked distribution of per capita income in the long run. In our model investment decisions are separated from consumption decisions and we thus do not have to consider preferences. Empirical evidence in support of a twin-peak distribution of per capita income is provided.     

Decomposing Redistributive Effects of Taxes and Transfers in Australia: Annual and Lifetime Measures

This paper decomposes the redistributive effect on annual and lifetime inquality of a range of taxes and transfers in Australia, using a dynamic cohort lifetime simulation model. The redistributive effect is decomposed into vertical, horizontal and reranking effects. Horizontal inequities in the tax and transfer system are found to be negligible. The extent of reranking is greater in the lifetime than in the annual context and is affected by the equivalence scales used to adjust household incomes. If no adjustment is made to household incomes, reranking is about nine per cent of the reduction in lifetime inequality. However, if each child is counted as equivalent to one-third of an adult, reranking is found to be less than one per cent.     

Does environmental quality influence health expenditures? Empirical evidence from a panel of selected OECD countries

In this paper we examine the role of environmental quality in determining per capita health expenditures. We take a panel cointegration approach in order to explore the possibility of estimating both short-run and long-run impacts of environmental quality. Our empirical analysis is based on eight OECD countries, namely Austria, Denmark, Iceland, Ireland, Norway, Spain, Switzerland, and the UK for the period 1980-1999. We find that per capita health expenditure, per capita income, carbon monoxide emissions, sulphur oxide emissions and nitrogen oxide emissions are panel cointegrated. While short-run elasticities reveal that income and carbon monoxide emissions exert a statistically significant positive effect on health expenditures, in the long-run in addition to income and carbon monoxide, we find that sulphur oxide emissions have a statistically significant positive impact on health expenditures.     

Income, income inequality, and health: Evidence from China

This paper tests using survey data from China whether individual health is associated with income and community-level income inequality. Although poor health and high inequality are key features of many developing countries, most of the earlier literature has drawn on data from developed countries in studying the association between the two. We find that self-reported health status increases with per capita income, but at a decreasing rate. Controlling for per capita income, we find an inverted-U association between self-reported health status and income inequality, which suggests that high inequality in a community poses threats to health. We also find that high inequality increases the probability of health-compromising behavior such as smoking and alcohol consumption. Most of our findings are robust to different measures of health status and income inequality. Journal of Comparative Economics 34 (4) (2006) 668–693.     

Questioning the empirical basis of the environmental Kuznets curve for CO2: New evidence from a panel stationarity test robust to multiple breaks and cross-dependence

This paper investigates the time series properties of per capita CO₂ emissions and per capita GDP levels for a sample of 86 countries over the period 1960-2000. For that purpose, we employ a state-of-the-art panel stationarity test which incorporates multiple shifts in level and slope, thereby controlling for cross-sectional dependence through bootstrap methods. Our analysis renders clear-cut evidence that per capita GDP levels are nonstationary for the world as a whole while per capita CO₂ is found to be regime-wise trend stationary. The analysis of country-groups shows that for Africa and Asia, per capita CO₂ is best described as nonstationary, while per capita GDP appears stationary around a broken trend. In addition, we find evidence of regime-wise trend stationarity in both variables for the country-groups consisting of America, Europe and Oceania. The results of our analysis carry important implications for the statistical modelling of the Environmental Kuznets curve for CO₂, since the differing order of integration in both variables for the world as a whole and for Africa and Asia calls into question the validity of panel cointegration techniques which assume that both variables are nonstationary and cointegrated with one another. Cointegration techniques would not be appropriate either for the case of America, Europe and Oceania which are characterised by per capita GDP and CO₂ emissions being stationary around a broken trend. Similar conclusions are reached when we analyse country-groups based on levels of development. Failure to properly characterise the time series properties of the data by not controlling for an unknown number of structural breaks and for cross-sectional dependence could be responsible for the fragility and lack of robustness surrounding the estimation of environmental Kuznets curves.     

The causal dynamics between renewable energy,real GDP,emissions and oil prices: evidence from OECD countries

This study extends the empirical literature on the determinants of renewable energy consumption in the case of 25 OECD countries for the period 1980–2011. Preliminary analysis suggests the presence of cross-sectional dependence within the panel data. As a result, second-generation panel unit root tests of Smith et al. (2004) and Pesaran (2007) are undertaken to find the respective variables that are integrated of order one. Panel cointegration and error correction modelling reveal that a long-run relationship exists between renewable energy consumption per capita, real GDP per capita, carbon dioxide emissions per capita and real oil prices. The long-run elasticity estimates are positive and statistically significant for real GDP per capita, carbon dioxide emissions per capita and real oil prices. The panel error correction model shows that a feedback relationship exists among the variables.     

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.     

The Impact of Equity-preferences on the Stability of International Environmental Agreements

This paper uses a coalition formation model to explore how equity considerations affect countries’ cooperation on global environmental issues, e.g. on climate change. When developing countries are exempted from obligations to reduce their emissions, I find that opening them for abatement projects financed by industrialized countries changes the incentives to cooperate in a way which can increase emissions and decrease welfare. Equity- concerns in industrialized countries regarding the difference between their per capita emission levels and those of developing countries lead to increased abatement but do not qualitatively change the incentives to cooperate. Inequality-aversion with respect to differences to abatement targets across industrialized countries generally induces larger coalition sizes and stricter abatement. Here, the inclusion of developing countries improves upon the prospects of cooperation.     

Examining the influencing factors of CO2 emissions at city level via panel quantile regression: evidence from 102 Chinese cities

Ascertaining the influencing factors of carbon dioxide emissions in Chinese cities is an important issue for policy-makers. This paper investigates the effect of several determinants on carbon emissions per capita in Chinese cities. Non-normally distributed and heterogeneous features of carbon emissions per capita in Chinese cities are considerably important. The empirical results demonstrate that GDP per capita has an increasingly positive impact on carbon emissions per capita due to the growth in household consumption. Urbanization has a slightly decreasing positive effect on carbon emissions per capita with a quantile increase resulting from continuous highway construction. Industrialization has a decreasing positive effect with carbon emission per capita quantile increases because of increasing energy efficiency and lower costs related to carbon reductions. The population has a decreasing negative effect on carbon emissions because of people’s increasing demand for environmental safety. The distributions of emissions per capita conditional on the 10th and 90th quantiles of independent variables also vary considerably. Specific policy implications are provided based on these results.     

A Decomposition Analysis of Regional Poverty in Russia

The paper applies a new decomposition technique to the study of variations in poverty across the regions of Russia. The procedure, which is based on the Shapley value in cooperative game theory, allows the deviation in regional poverty levels from the all‐Russia average to be attributed to three proximate sources: per capita income, inequality, and local prices. Contrary to expectation, regional poverty variations turn out to be due more to differences in inequality across regions than to differences in real income per capita. However, when real income per capita is split into nominal income and price components, differences in nominal incomes emerge as more important than either inequality or price effects for the majority of regions.     

Terrorism and spatial disparities: Does interregional inequality matter?

This article examines the relationship between interregional inequality and the incidence of domestic terrorism in a panel of 48 countries over the period 1990–2010. The results show that a high level of interregional inequality increases the number of domestic terror events in the sample countries. This finding is robust to the inclusion of additional explanatory variables that may affect both interregional inequality and domestic terrorism. Furthermore, the observed link between interregional inequality and terrorist activity does not depend on the choice of the specific measure used to quantify the degree of dispersion in the regional distribution of GDP per capita within the sample countries.     

Distribution Dynamics of CO<Subscript>2</Subscript> Emissions

This paper uses nonparametric methods to examine the convergence in CO₂ emissions per capita on a sample of 100 countries for the period 1966–1996. Industrial countries show a convergence pattern. However, there is little evidence of convergence for the whole sample.     

Revisiting carbon Kuznets curves with endogenous breaks modeling: evidence of decoupling and saturation (but few inverted-Us) for individual OECD countries

This paper tests for a carbon Kuznets curve (CKC) by examining the carbon emissions per capita–GDP per capita relationship individually, for 21 OECD countries over 1870–2010 using a reduced-form, linear model that allows for multiple endogenously determined breaks. This approach addresses several important econometric and modeling issues, e.g., (1) it is highly flexible and can approximate complicated nonlinear relationships without presuming a priori any particular relationship; (2) it avoids the nonlinear transformations of potentially nonstationary income. For 10 of 14 countries that were ultimately estimated, the uncovered emission–income relationship was either (1) decoupling—where income no longer affected emissions in a statistically significant way, (2) saturation—where the emissions elasticity of income is declining, less than proportional, but still positive, or (3) no transition—where the emissions elasticity of income is (or very near) unity. For only four countries did the emissions–income relationship become negative—i.e., a CKC. In concert with previous work, we conclude that the finding of a CKC is country-specific and that the shared timing among countries is important in income-environment transitions.     

Sources of inequality in selected MENA countries

The paper deals with income inequality in the selected MENA countries focusing on the dynamics of domestic wage differentiations. The main aim is to identify the sources of inequalities. GDP per capita, share of manufacturing sector, urban share of population, gender participation in the labor force, education and openness may be possible factors. The paper analyzes pay inequalities using a panel regression model where the Theil index is used as the dependent variable. The results show that GDP per capita and female labor force participation have positive (increasing) effects, and openness has a negative (decreasing) effect on pay inequalities in these countries.     

Stochastic Divergence or Convergence of Per Capita Carbon Dioxide Emissions: Re-examining the Evidence

This paper revisits the time-series literature on the convergence of per capita carbon dioxide (CO₂) emissions and examines the robustness of previous results. Using a sample of OECD countries for the period 1950–2002 we employ a battery of stationarity and unit root tests including those that allow for cross-sectional dependencies within the panel. We also correct for inaccuracies in previous studies that could result in a trend-stationary series being labelled as converging even if it were actually diverging from the international average. The body of evidence provided by our analysis suggests that per capita CO₂ emissions have not converged among OECD countries during the period under consideration. This finding is of importance to both climate change policy makers and to those who construct climate change models.      

Global and regional inequality in the distribution of income: Estimation with limited and incomplete data

The paper examines the nature and extent of global and regional inequality using the most recent country level data on inequality drawn from World Bank studies, and real per capita income from the Penn World Tables, for the period 1980–1990. The methodology employed in the paper is based on a mixture of parametric and non-parametric approaches to inequality measurement. It is designed to handle the limited and incomplete nature of income distribution data from different countries. Empirical results show a very high degree of global inequality, but with some evidence of catch-up and convergence between regions.     

Regional convergence of growth,inequality and poverty in India—An empirical study

The paper attempts to examine whether there is regional convergence of per capita consumption, inequality and poverty across various states in India. Using panel unit root tests that are robust to cross-sectional dependence, we find that inequality and poverty indicators converge at both rural and urban levels. Further, per capita consumption converges at urban level but not at rural level. Based on factor analysis, we find two groups of states for rural sectors, viz., low-growth and high-growth states, for each of which per capita consumption converges. We also attempt at identifying the responsible entities — central or state governments or both in cases where convergence is not achieved.     

Entrepreneurship and income inequality: a spatial panel data analysis

The main objective of this paper is to empirically analyze the relationship between entrepreneurship and income inequality. We use a spatial panel data analysis for both 33 high-income countries and 39 middle- and low-income countries over a period of 11 years. Estimation results and rigorous diagnostic analysis suggest that: (i) there is a strong support for the existence of an inverted U-shaped relationship between entrepreneurship and income inequality espoused by the Kuznets Curve hypothesis; (ii) the relationship between entrepreneurship and income inequality is negatively moderated by country’s level of economic development; (iii) regardless of income inequality levels, entrepreneurship has a non-linear relationship with income per capita; (iv) gross domestic expenditure on research and development exhibits significant negative impacts on entrepreneurship; (v) significant mixed effects on the likelihood of entrepreneurial activity are observed with governance, globalization, population growth rate, and competitiveness variables; (vi) there are significant mixed feedback effects on entrepreneurship; and (vii) there are statistically significant, positive as well as negative spatial spillovers to country-level entrepreneurial activity.