Linkages between income inequality,international remittances and economic growth in Pakistan

This paper explores the dynamic linkages between income inequality, international remittances and economic growth using time series data over the period of 1976–2006 in case of Pakistan. The cointegration analysis based on the bounds test confirms the existence of a long-run relationship between income inequality, international remittances and economic growth. Our results reveal that income inequality and international remittances enhance economic growth. The causality analysis based on innovative accounting approach shows bidirectional causal relationship between income inequality and economic growth and same is true for international remittances and income inequality. International remittances are cause of economic growth but not vice versa. Although we find support for Kuznets hypothesis but Pakistan is yet to benefit, in terms of reducing the gaps of income inequality, from the international flow of remittances and economic growth. The paper argues that, from a policy perspective, there is an urgent need for policy makers in Pakistan to reduce the widening gap of income inequality by focusing on income redistribution policies and to go beyond the traditional factors in balancing income inequality.     

An Empirical Test of the Institutionalist View on Income InequalityEconomic Growth within the United States

This paper analyzes the relationship between income inequality and economic growth within the United States using state level data. It describes income inequality in the U.S. since 1960, then employs a two-step causal model to test the institutionalist contention that income inequality leads to socio-political instability, which has a negative impact on economic progress. The empirical results offer support for the institutionalist view.     

An Empirical Test of the Institutionalist View on Income Inequality

This paper analyzes the relationship between income inequality and economic growth within the United States using state level data. It describes income inequality in the U.S. since 1960, then employs a two‐step causal model to test the institutionalist contention that income inequality leads to socio‐political instability, which has a negative impact on economic progress. The empirical results offer support for the institutionalist view.     

Global estimates of growth–inequality–poverty (GIP) triangle: evidence from World Bank’s classification countries

This study extended the concept of ‘growth–inequality–poverty (GIP) triangle’ by using the principle component approach which allows us to composite different poverty and inequality indicators into one single index that contains most of the useful information from the original dataset. Using the idea of GIP triangle, this study examines the long-run relationship among weighted poverty index (which comprises headcount ratio, poverty gap and squared poverty gap); weighted inequality index (i.e., Watts Index, Gini Index and MLD Index) and average monthly per capita income in the designated 138 countries according to World Bank’s classification over a period of 2005–2010. The data set mainly contain countries’ unit record household survey at least one which is conducted between the countries during the sample period. The regression model encompassing the impact of economic growth and income inequality on poverty reflects that income inequality increases poverty while economic growth decreases poverty. It indicates that the impact of inequality in increasing poverty is a somewhat greater than that of growth in average income in reducing overall poverty in a sample countries. The other regression model encompassing the impact of economic growth and poverty on income inequality showed that the poverty itself is also likely to be a barrier for poverty reduction; and inequality seems to predict lower future growth rates. The final regression model depicting the impact of poverty and income inequality on mean income of the household suggests that poverty itself reduces mean income of the household while income inequality increases economic growth. The results are interesting and simply suggest that whenever social institutions malfunction, the incidence of damage would usually be distributed unevenly over the society’s members.     

IFRS,financial development and income inequality: An empirical study using mediation analysis

Income inequality continues to be an issue of concern. Early work on economic development suggested that, as a country’s economy grows, incomes would rise and reduce any income disparities. However, there is growing evidence that as countries develop, income inequality actually worsens. Some studies argue that this is the result of financial development and the growth of the financial sector. Although there is a good deal of empirical research on the relationship between financial development and income inequality, there is no prior work that examines how accounting standards, in particular International Financial Reporting Standards (IFRS), might influence this relationship. This study examines the relationship of IFRS and financial development with income inequality using mediation analysis over the period from 1998 to 2018. The results indicate that the impact of IFRS on income inequality is mediated by financial development. Moreover, there is a direct relationship between IFRS and inequality.     

EFFECTS OF LABOR REALLOCATION ON PRODUCTIVITY AND INEQUALITY—INSIGHTS FROM STUDIES ON TRANSITION

From a theoretical perspective, the link between the speed and scope of rapid labor reallocation and productivity growth or income inequality is ambiguous. Do reallocations with more flows tend to produce higher productivity growth? Does such a link appear at the expense of higher income inequality? We explore the rich evidence from earlier studies on worker flows in the period of massive and rapid labor reallocation, that is, the economic transition from a centrally planned to a market-oriented economy in CEE. We have collected over 450 estimates of job flows from the literature and used these inputs to estimate the short-run and long-run relationship between labor market flows, labor productivity, and income inequality. We apply the tools typical for a meta-analysis to verify the empirical regularities between labor flows and productivity growth as well as income inequality. Our findings suggest only weak and short-term links with productivity, driven predominantly by business cycles. However, data reveal a strong pattern for income inequality in the short run—more churning during reallocation is associated with a level effect toward increased Gini indices.     

Impact of economic growth volatility on income inequality: ASEAN experience

The study attempts to examine the symmetric and the asymmetric impact of volatility of economic growth on the inequality of income in the major ASEAN economies over the period 1980–2015. Financial development, trade openness as a proxy of globalization, inflation, human capital formation, and fiscal policy are utilized as major control variables. The paper tries to explore the causal association between inequality of income distribution and economic growth volatility, exploring simultaneously the long-run association and the short-run dynamics in the time series structure. The study applied Clemente–Montanes–Reyes unit root test to identify the structural break in the time series. Further, the cointegrating relationship of the time series observations was explored by applying the ARDL (linear) bounds test approach along with the nonlinear ARDL for making fruitful comparisons in the long-run relationship among the variables. The countries chosen are Malaysia, Indonesia, Thailand, Singapore and The Philippines. The empirical findings strongly suggest a long-run cointegrating relationship between income inequality and growth volatility with a positive and statistically significant impact. Also, the causality analysis was explored using the Toda and Yamamoto (1995) method of Granger causality. The causality test shows that there exists bidirectional causality from inequality transmission to economic growth volatility. The implications that are developed from this study helps us to understand the various policy reforms in the ASEAN region, that are more transparent and can make these economies less susceptible to risks.     

The Kuznets curve of the rich

A long-standing interest in the relationship between inequality and sustainable growth continues to fascinate economists among other social scientists. It must be noted, however, that most empirical efforts have focussed on the income inequality–growth nexus, while studies on wealth inequality are much scarcer. This study attempts to fill such a gap in the literature by assessing the correspondence between the top 1 percent's wealth share and economic growth. Employing time series cointegration techniques, we study the experience of France and the United States from 1950 to 2014. Our estimates suggest that the output growth rate is an inverted-U-shaped function of the wealth share of the top 1 percent. The estimated relationship is robust to variations in control variables and estimation methods. We compute the local optimal wealth share, understood as the share of wealth compatible with the maximum growth rate, and show that France is growing close to its long-run potential, while the United States is significantly below its.     

Income risk, macroeconomic and demographic change, and economic inequality in Japan

Using an OLG model with heterogeneous households, we investigate the relationship among income risk, macroeconomic and demographic changes, and economic inequality between 1980 and 2000 in Japan. By decomposing the primary factors in earnings and consumption inequality into macroeconomic variables and the demographic variable, we find that our model replicates the evolution of economic inequality in Japan. By performing counterfactual simulations, we demonstrate that two factors—changes in time-varying macroeconomic factors and the unexpected decline in the total factor productivity growth rate—played important roles in the increase in earnings and consumption inequality in the 1990s.     

HAPPINESS AND HEALTH: TWO PARADOXES

Abstract This paper aims to establish systematic relationships between the two rapidly growing research streams on the socio‐economic determinants of happiness and health. Although they have been pursued quite independently by different communities of researchers, empirical evidence points to very similar underlying causal mechanisms. In particular, in both cases per capita income seems to play a major role only up to a very low threshold, beyond which relative income and other relational factors become crucial for happiness and health. On the basis of these structural analogies, we argue that a process of cross‐fertilisation between these two research streams would contribute to their development by clarifying the relationship between happiness, health and their determinants. Finally, we observe that the two literatures have converging policy implications: measures meant to reduce poverty and inequality and invest in social and environmental capital may improve both health and happiness of the individuals.     

Inequality and Growth in European Regions: Towards a Place-based Approach

Abstract

Does agglomeration matter for growth? This paper addresses this question by evaluating the impact that intra-regional income distribution has on regional growth in Europe. By using a spatially augmented Solow growth model, we investigate the convergence process among 188 EU regions between 1991 and 2004 and extend the traditional growth models to account for the impact of regional inequality on growth, as well as the effects of interaction among regions. Our assumption is that existing levels of inequality between sub-regional territorial units could positively contribute to regional economic growth in Europe, through the positive effects generated by the emergence of agglomeration economies. Our results show that while we cannot find any overall significant relationship in Europe between agglomeration and growth, once we distinguish between Objective 1 and Non-objective 1 regions we are able to find that agglomeration positively impacts subsequent growth, but only in the less developed regions.     

Inequality,mobility and the financial accumulation process: a computational economic analysis

Our computational economic analysis investigates the relationship between inequality, mobility and the financial accumulation process. Extending the baseline model by Levy et al., we characterise the economic process through stylised return structures generating alternative evolutions of income and wealth through time. First, we explore the limited heuristic contribution of one and two-factors models comprising one single stock (capital wealth) and one single flow factor (labour) as pure drivers of income and wealth generation and allocation over time. Second, we introduce heuristic modes of taxation in line with the baseline approach. Our computational economic analysis corroborates that the financial accumulation process featuring compound returns plays a significant role as source of inequality, while institutional arrangements including taxation play a significant role in framing and shaping the aggregate economic process that evolves over socioeconomic space and time.

     

Openness,rural-urban inequality,and happiness in China

Although the relationship between income inequality and subjective well-being has been extensively discussed in the literature, relatively little is known about the effects of openness on subjective well-being and how rural-urban inequality may influence these effects. This article attempts to address this issue by using the dataset of the China General Social Survey (CGSS). We find that the effect of trade openness on happiness takes an inverted U shape, whereas that of financial openness is U-shaped. We also find that rural-urban inequality has a dampening effect on happiness, and this effect is strengthened by trade openness but weakened by financial openness. These findings extend previous studies on the determinants of happiness by highlighting the different effects associated with trade openness and financial openness and how these effects may interact with rural-urban inequality.     

When is there a Kuznets curve? Some evidence from the ex-socialist countries

This paper investigates when there is a Kuznets curve, that is, under which conditions income inequality eventually declines with economic growth. The analysis was performed on a sample of 26 ex-socialist countries from the former Eastern Bloc, during the post-socialist years. These countries had very similar characteristics when socialism collapsed, but very different experiences with transition afterwards, which makes them a suitable group for analysing the relationship between GDP and inequality. We focus on four factors that may shape this relationship – labour market institutions, the market power of companies, social benefits and taxes. Our findings suggest that the Kuznets curve is present only when control of companies’ market power is effective and taxes are high.     

The macroeconomic implications of corruption in the choice to educate

Educational corruption is a worldwide phenomenon, yet its macroeconomic implications are largely unknown. We formulate a fixed-price bribe model to explore the impact educational corruption may have on growth, income inequality and other factors. When using aggregate ability as our measure of growth, our model produces a v-shaped relationship between growth and corruption, suggesting that corruption is detrimental to growth at lower levels of bribery, but growth enhancing at greater levels. A cross-section of countries is used to empirically test our model and provides qualitative support for our modeling structure. Distributional analysis reveals that an increased prevalence of corruption leads to greater income inequality and reduces the ability of education to signal quality.     

Wage inequality and the labor market impact of economic transformation: Croatia, 1970–2008

In this paper, we examine wage inequality and wage differentials in Croatia from 1970 to 2008 using two long aggregate time series on the distribution of income. We focus especially on changing income inequality related to educational and vocational attainment, changing income inequality within those groups, and how these two components of inequality were affected by the economic transformation from socialism to capitalism. We find that income inequality between groups rose moderately post-transformation, while overall inequality increased more sharply. This finding is consistent with a growing importance of individual rather than group productivity in labor market compensation, a change broadly consistent with the economic transformation of the Croatian labor market.     

Corruption, economic growth, and income inequality in Africa

This paper uses panel data from African countries and a dynamic panel estimator to investigate the effects of corruption on economic growth and income distribution. I find that corruption decreases economic growth directly and indirectly through decreased investment in physical capital. A unit increase in corruption reduces the growth rates of GDP and per capita income by between 0.75 and 0.9 percentage points and between 0.39 and 0.41 percentage points per year respectively. The results also indicate that increased corruption is positively correlated with income inequality. The combined effects of decreased income growth and increased inequality suggests that corruption hurts the poor more than the rich in African countries. Received: March 19, 2001 / Accepted: December 14, 2001 RID="*" ID="*" An earlier version of this paper was presented at the first AmFiTan International Conference on Development Ethics in February 2000, Dar er Salaam, Tanzania. I thank two anonymous referees of this Journal for helpful suggestions. I am, however, solely responsible for any remaining errors.     

Natural inequality,production and economic growth

This paper explains why the effect of income inequality on productivity and growth is ambiguous. When income distribution exhibits inequality levels that are compatible with accepted criteria, productivity and growth ensue. When the divergence from an acceptable level of inequality occurs, then under certain conditions, we may expect lower (higher) production levels and lower (higher) levels of economic growth.     

经济增长与城乡居民收入——一个实证研究

文章借助VAR模型、协整理论及Granger因果关系检验等分析方法,研究了1985～2004年我国经济增长对居民收入的影响关系。结果表明经济增长与城镇居民收入之间存在显著的长期动态均衡关系,经济增长是城镇居民收入变动的Granger原因;但是经济增长与农村居民收入之间不存在长期均衡关系。经济增长与城乡居民收入的不同关系已发生质的差别。     

Human capital inequality and income inequality: testing for causality

This study investigates the causal relationship between human capital inequality and income inequality in case of Pakistan. The annual time series data ranging from 1973 to 2009 is used for econometric analysis. Johanson co-integration and Granger Causality tests are used to confirm the existence of long run relationship and the causal relationship between human capital inequality and income inequality. The results indicate that there is positive relationship between the two types of inequalities in the long run. The estimates of causality test indicate that income inequality causes the human capital inequality but human capital inequality does not cause income inequality. Policy initiatives to reduce income inequality may empower people economically to avail skill building opportunities and accumulate their human capital through access to educational services.