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.     

Higher education and growth performance of Pakistan: evidence from multivariate framework

This study investigates the relationship between higher education and economic growth in Pakistan by using the annual time series data from the period of 1980–2011. The ARDL bound testing cointegration approach confirms the valid positive relationship between higher education development and economic growth in long run as well as in short run. Results of Granger causality test, Toda and Yamamoto Modified Wald causality test and variance decomposition test confirm the bidirectional causal relationship between higher education and economic growth in Pakistan. Results of rolling window estimations suggest that the contribution of higher education in economic growth is significantly increased after the formation of higher education commission of Pakistan in 2002. It is clear from our findings that higher education commission plays an important role in the development of higher education in Pakistan which leads to enhance economic growth. It is recommended that policy makers should make policies to strengthen the higher education commission to ensure continuous and rapid economic growth in Pakistan.     

Further evidence on finance-growth causality: A panel data analysis

This paper reassesses the causal relationship between financial development and economic growth. Using recently developed panel methods on a data set of 71 developed and developing countries over the period 1960-2004, our study confirms previous results of a bidirectional causality between finance and growth. In addition, we show significant differences among country groups when considering both long-run and short-run causality. While in low and middle income countries there is no supportive evidence of short-run causality between financial development and economic growth, in high income countries economic growth significantly affects financial development.     

Does GINI respond to income volatility in an asymmetric manner? Evidence from 41 countries

Previous studies that assessed the impact of income volatility (as a measure of economic uncertainty) on income inequality relied upon either cross-sectional data or panel data, mostly due to the lack of sufficient time-series observations. Now that enough time-series observations are available for many countries, we revisit the issue and assess the possible asymmetric effects of income volatility on income inequality in each of the 41 countries. We find short-run asymmetric effects in almost all countries, short-run impact asymmetric effects in 20 countries, and long-run asymmetric effects in 21 countries. There was much less support when we engaged only in symmetric analysis.     

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.     

Does Trade Liberalization Cause a Long Run Economic Growth in Turkey

Based on ‘endogenous’ growth theory, the paper examines the effect of trade liberalization on long-run income per capita and economic growth in Turkey. Although the presumption must be that free trade has a beneficial effect on long run growth, counter examples can also be found. This controversy increases the importance of empirical work in this area. Using the most recent data we employ multivariate cointegration analysis to test the long run relationship among the variables in hand. In a multivariate context, the effect of determinants such as increasing returns to scale, investment in human and physical capital are also included in both theoretical and empirical works. Our causality evidence between the long run growth and a number of indicators of trade liberalizations confirms the predictions of the ‘new growth theory’. However, the overall effect of the possible breaks and/or policy change and unsustainability in the 1990s looks contradictory and deserves further investigation.     

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.     

Export-led economic growth and the case of Brazil: An empirical research

The world has been globalized much more than ever before and this process integrates the economies of countries. Moreover, one means of integrating the economies of countries is trade. In this instance, the export-led economic growth emerges as a considerable determinant. Export-led economic growth is beneficial for the countries since it facilitates the inflow of foreign exchange, increases production, creates new employment opportunities and enhances the overall commercial volume. In this study, the correlation between export-led economic growth is explored for Brazil. Therefore, according to the findings of this paper as well as econometric and statistical applications, there is a bi-directional causality in Brazil since 1960s between economic development and exports in the long-run (this could also be termed as feedback); furthermore, in the short-run, there is export-led economic growth. The novelty of this paper is that, it is one of the latest studies investigating export-led economic growth for Brazil.     

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.     

辽宁电力能源消费与经济增长的实证分析

随着社会经济快速发展和人口迅猛增长,各国的经济增长均面临不同程度的能源瓶颈约束,文章基于Granger因果检验、协整分析等计量模型和方法,分析了辽宁省电力能源消费与经济增长之间的内在联系,通过分析得出如下结论:辽宁省电力消费与经济增长之间存在长期协整关系,电力能源消费引起生产总值GDP的变化,是经济增长的单向Granger因果关系。最后针对辽宁省就如何加快电力能源结构调整,推动能源产业转型升级,促进电力与经济协调发展方面提出了具体对策建议。     

广州旅游业与经济发展互动关系检验

不同地区的经济发展和旅游资源禀赋的差异导致了地区旅游业与经济发展之间的关系不尽相同。通过利用广州旅游业和经济发展的数据,实证检验了两者之间的关系。协整检验结果揭示出两者之间具有长期稳定的均衡关系,格兰杰因果检验表明广州的经济发展对旅游业具有明显的带动效应。在检验结果的基础上诠释了实证结论并剖析了其中的政策蕴涵。     

The relationship between trade,FDI and economic growth in Tunisia: An application of the autoregressive distributed lag model

The relationship between foreign direct investment (FDI), trade openness and economic growth in host countries remains one of the most important issues in the economic literature and met with renewed interest in recent years mainly for countries suffering from unemployment problems and lack of technological progress. This paper examines this issue for Tunisia by applying the bounds testing (ARDL) approach to cointegration for the period from 1970 to 2008. The bounds tests suggest that the variables of interest are bound together in the long run when foreign direct investment is the dependent variable. The associated equilibrium correction is also significant, confirming the existence of a long-run relationship. The results also indicate that there is no significant Granger causality from FDI to economic growth, from economic growth to FDI, from trade to economic growth and from economic growth to trade in the short run. Even though there is a widespread belief that FDI can generate positive spillover externalities for the host country, our empirical results fail to confirm this belief for the case of Tunisia. They go against the generally accepted idea considering the positive impact of FDI on economic growth to be automatic. The results found for Tunisia can be generalized and compared to other developing countries which share a common experience in attracting FDI and trade liberalization.     

Testing the higher education-led growth hypothesis in a small island: an empirical investigation from a new version of the Solow growth model

This study employs a new version of the Solow Growth Model in order to investigate the higher education-led growth (HELG) hypothesis in the case of North Cyprus. Results reveal that a long-run equilibrium relationship exists between real income growth of North Cyprus and its determinants, namely capital, labor, and the higher education sector. Results show that real income growth converges to its long-term equilibrium level by 10.9 %. Granger causality tests suggest undirectional causality from higher education growth to real income growth in North Cyprus. Therefore, the HELG hypothesis can be inferred for the Turkish Cypriot economy.     

Individual new energy consumption and economic growth in China

We document the one-way relationship between individual new energy consumption and economic growth in China through the autoregressive distributed lag (ARDL) model from 2004 to 2017. Our results show that individual new energy consumption has a positive effect on economic growth. Moreover, the urbanization rate, import and export trade volume and foreign direct investment all affect the individual new energy consumption in the short run. The outcome of the causality test reveals a one-way Granger causal relationship from individual new energy consumption to economic growth, from the urbanization rate, and from the import and export trade volume to new energy consumption.     

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.     

中国金融发展与全要素生产率——基于时间序列的经验证据

全要素生产率问题是研究中国经济可持续增长的核心问题。本文利用界限检验法、基于ARDL法的协整系数估计、向量误差修正模型及其Granger因果关系检验等计量技术,考察了全要素生产率与金融发展等变量的关系。实证结果表明,全要素生产率与金融发展、外商直接投资、经济自由度三个变量存在长期均衡关系,并且从长期来看,金融发展、外商直接投资、经济自由度皆是全要素生产率变动的原因;而从短期来看,只有经济自由度才是全要素生产率变动的Granger原因。     

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.     

我国财政与经济增长关系:基于Bootstrap仿真方法的实证检验

不同经济体的财政与经济增长作用关系存在差异性,研究文献对二者理论关系的认识也并不统一。本文采用小样本可靠的Bootstrap仿真方法,利用1952~2003年为样本期的时序数据,对我国政府支出与经济增长进行了Granger因果关系的实证检验。比较研究显示,基于渐近理论的传统检验结果认为,二者不存在统计上的协整关系。利用Bootstrap仿真方法却得到不同的结论,即政府支出与经济增长具有双向的Granger因果关系,意味着我国财政和经济增长存在相互促进作用。本文结论与大多数研究文献观点存在显著区别。     

Do Casinos Cause Economic Growth?

A bstract .   Casino gambling is a popular form of entertainment and is purported to have positive effects on host economies. The industry surely affects local labor markets and tax revenues. However, there has been little evidence on the effects of casino gambling on state economic growth. This paper examines that relationship using Granger-causality analysis modified for use with panel data. Our results indicate that there is no Granger-causal relationship between real casino revenues and real per capita income at the state level. The results are based on annual data from 1991 to 2005. These findings contradict an earlier study that found that casino revenues Granger-cause economic growth, using quarterly data from 1991 to 1996. Possible explanations for the differences in short- and long-run effects are discussed.     

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.