The long-run causal relationship between exports and economic growth in the euro area

This article employs panel methods that mitigate heterogeneity and cross-sectional dependence to determine the direction and sign of long run causality between exports and economic growth in the euro area economies from 2000 to 2014. The empirical evidence indicates that there is a unidirectional long-run Granger causality relationship from exports to economic growth in the euro area countries.     

我国收入差距与经济增长的面板协整与因果关系研究

笔者运用最近发展起来的面板协整技术,分析了我国收入差距与经济增长的关系。研究结果表明,全国以及东中西部的收入差距与经济增长之间存在长期的稳定关系;尽管对于全国和东部地区,收入差距和经济增长的因果关系并不明显,但对于中部和西部,收入差距和经济增长之间存在长期和短期的因果关系。     

How productivity and domestic output are related to exports and foreign output in the case of Sweden

In this paper we examine the relationships between two sets of three variables: Swedish real exports, Swedish real GDP, and foreign real GDP in one set; and Swedish real exports, Swedish total factor productivity, and foreign real GDP in the other set. The foreign real GDP facing Sweden is proxied by total OECD real GDP minus Sweden's real GDP. Multivariate tests for integration and cointegration show that the variables in each model are cointegrated. We also perform Granger causality tests on these variables in our examination using the Toda-Yamamoto procedure. We discover bi-directional causality between Swedish real exports and Swedish real GDP (or Swedish total factor productivity). Foreign real GDP is shown to Granger cause Swedish real exports, but no significant causation of foreign real GDP on either domestic GDP or total factor productivity was found. A change in foreign real GDP thus appears to affect Swedish output and productivity only indirectly, through changes in Swedish exports. JEL classification:F41, F43, C30, C32     

A refinement of the relationship between economic growth and income inequality

There is mixed evidence in the literature of a clear relationship between income inequality and economic growth. Most of that work has focused almost exclusively on developed economies. In what we believe to be a first effort, our emphasis is solely on developing economics, which we classify as high-income and low-income developing countries (HIDC and LIDC). We make such distinction on theoretical and empirical grounds. Empirically, the World Bank has classified developing economies in this manner since 1978. The data in our sample are also supportive of such classifications. We provide theoretical scaffolding that uses asymmetric credit constraints as a premise for separating developing economies in such a way. We find strong evidence of a negative relationship between income inequality and economic growth in LIDC to be in stark contrast with a positive inequality–growth relationship for HIDC. Both correlations are statistically significant across multiple econometric specifications. Using international data from 1960 to 2010, this article explores the effect of income inequality on economic growth using dynamic panel technique, such as system generalized method of moments (GMM) that is believed to mitigate endogenous problem. These results are strikingly contrasting to the previous estimation results of Forbes (2000) displaying significant positive correlation between two variables in the short to medium term.     

Unit Root Analyses of the Causality Between Japanese Money and Income

Unit root techniques and cointegration analysis have develop ed considerably in the last ten years. At the same time, the nonstationary test for Granger causality has been developed. We shed some new light on Japanese money supply and income causality by using nonstationary techniques. We specify univariate ARMA models of money, income, GNP deflator and rate of interest, initially by using the Dickey and Fuller (DF) or the augmented DF (ADF) tests. Two diagnostic tests are applied to each selected ARMA regression. One is the residual DF test, and the other is the moving average (MA) unit root test of residuals . After selecting the ARMA model, some causality tests are applied to the error correction model (ECM) of a vector autoregression (VAR) one of which is ordinary least squares (OLS) and another is the maximum likelihood (ML) method. The former requires only the standard F -test on the deleted variables in the ECM. The latter requires the Johansen's ML method in estimating cointegration. Causality is found to go from income to money supply but not the other way. Appendices include a simple implementation of the MA unit root test, a pedagogical proof of the Granger causality tests developed by Toda and Phillips (1993) and an interpretation of the test proposed by Toda and Yamamoto (1995).
JEL Classification Numbers: C32, E50     

The causal relationship between financial development and economic growth in Africa

ABSTRACT

Previous empirical studies on the causal relationship between financial development and economic growth are not instructive given their failure to unearth the causality trend across the different time periods. Using a more recently developed and robust indicator of financial development, we revisit the causal relationship between financial development and economic growth within the framework of a frequency-domain spectral causality technique which allows the causality to vary across time. Using data from 47 African countries over the period 1980–2016, our findings largely suggest that, even though there is some evidence of demand-following, supply-leading and feedback hypotheses, for most part, we find strong support of neutrality hypothesis. Thus, financial development and economic growth at most frequency levels evolve independently. We infer that caution must be exercised in making general conclusions about the causal nexus between financial development and economic growth.     

Time-varying linkages between tourism receipts and economic growth in South Africa

The causal link between tourism receipts and GDP has recently become a major focus in the tourism economics literature. Results obtained in recent studies about the causal link appear to be sensitive with respect to the countries analysed, sample period and methodology employed. Considering the sensitivity of the causal link, we use rolling window and time-varying coefficient estimation methods to analyse the parameter stability and Granger causality based on a vector error correction model (VECM). When applied to South Africa for the period 1960–2011, the findings are as follows: results from the full-sample VECM indicate that there is no Granger causality between tourism receipts and GDP, while the findings from the time-varying coefficients model based on the state-space representation show that tourism receipts have positive-predictive content for GDP for the entire period, with the exception of the period between 1985 and 1990. Full-sample time-varying causality tests show bidirectional strong causality between tourism receipts and GDP.     

Cointegration, causality and export-led growth in Mexico, 1895–1992

Cointegration and Granger-causality tests show that real exports and real GDP in Mexico over 1895–1992 were cointegrated and there was a significant and positive Granger-causal relationship running from exports to economic growth.     

The nexus between infrastructure (quantity and quality) and economic growth in Sub Saharan Africa

This paper examines the growth effects of infrastructure stock and quality in Sub Saharan Africa (SSA). While previous studies established that the poor state of infrastructure in SSA slows economic growth, there is little evidence on infrastructure quality and a robust analysis on the causal links between infrastructure and economic growth. Using principal components analysis to cluster different infrastructure measures and examining the infrastructure-growth nexus in a Generalised Method of Moments while accounting for heterogeneity in a panel setting, our results reveal strong evidence of a positive effect of infrastructure development on economic growth with most contribution coming from infrastructure stock. The quality-growth effect is weak, thus giving credence to the combined effects of infrastructure stock and quality on growth, especially in regions with moderately high quality, and smaller in those with poorer quality. However, the long-term quality effect is higher than the short-term. Among the disaggregated infrastructure components, electricity supply exerted the greatest downward pressure on growth in SSA. Lastly, we find evidence for a unidirectional causality from aggregate infrastructure to growth. A number of policy implications are discussed.     

Religiosity and income: a panel cointegration and causality analysis

In this article, we examine the long-run relationship between religiosity and income using retrospective data on church attendance rates for a panel of countries from 1930 to 1990. We employ panel cointegration and causality techniques to control for omitted variable and endogeneity bias and test for the direction of causality. We show that there exists a negative long-run relationship between the level of religiosity, measured by church attendance, and the level of income, measured by the log of GDP per capita. The result is robust to alternative estimation methods, potential outliers, different samples, different measures of church attendance and alternative specifications of the income variable. Long-run causality runs in both directions, higher income leads to declining religiosity and declining religiosity leads to higher income.     

Innovation,financial development and economic growth in Eurozone countries

Using a panel vector auto-regressive model, we study interactions between innovation, financial development and economic growth in 18 Eurozone countries between 1961 and 2013. We focus on whether causality runs between these variables both ways, one way, the other way or not at all. Our empirical results show that development of the financial sector and enhanced innovative capacity in the Eurozone contributes to long-term economic growth in the countries in the region.     

Export-led Growth in South Asia: A Panel Cointegration Analysis

Abstract

In this paper, we attempt to examine the export-led and manufacturing export-led growth hypothesis for four South Asian Countries; namely, India, Pakistan, Bangladesh and Sri Lanka, using Pedroni’s panel cointegration technique for the period 1980–2002. In this context we estimate growth accounting equations to investigate the impact of exports, manufacturing exports and other important physical and human capital variables on both total GDP and non-export GDP. The study finds long-run equilibrium relationship between GDP (and non-export GDP) and exports along with other variables supporting export-led growth hypothesis. The results also substantiate the existence of manufacturing export-led growth hypothesis. Further, we find that export, fixed capital formation, public expenditure on health and education have statistically significant coefficients re-emphasizing the importance of these variables for higher economic growth.     

The relationship between Turkey’s foreign debt and economic growth: an asymmetric causality analysis

Tackling foreign debt that arises as a result of limited and ineffective use of resources is an item that remains on the agenda particularly for developing countries. In this study, we examine the foreign debt debates to date in terms of economic growth and using the time series for the period 2003Q1 to 2017Q1. We used unit root tests to determine the maximum integration degree of series, and we conducted causality analysis. We found a causality relationship between net foreign debt stock and economic growth in causality analyses performed for Turkey. The empirical results of this study indicate that there is a causality relationship, including both positive and negative aspects, between net foreign debt stock and economic growth. The results of our testing showed a significant causal relationship between the variables.     

中国经济增长与收入差距关系的经验研究

经济增长与收入差距的关系是一个古老而又充满活力的问题。研究发现,尽管全国总量时序数据的Granger因果关系检验表明,中国的经济增长与收入差距不存在任何方向的因果关系,但以各省GDP增长率和城乡收入比为观测点的面板数据检验结果显示:不论是在短期还是在长期,收入差距的扩大都是引起经济增长的Granger原因;经济增长在短期会引起收入差距的扩大,但从长期看,有助于收入差距的缩小。     

On the impact of innovation and inequality in economic growth

We present robust results on the empirical relationship among income inequality, innovation, and economic growth for a panel dataset of 74 countries over the period 1996–2014. We estimate pairwise causality tests to show that there is bidirectional causality between GDP per capita and R&D, while R&D causes the Gini index of income inequality, and it causes human capital. Allowing coefficients to be different across cross-sections of countries, we get in any case a pairwise bi-directionality. By dynamic panel data estimations, when regressing R&D on GDP per capita, we obtain a threshold value of 0.16% of R&D such that for values above it there is economic growth. While regressing R&D on the Gini index, we get a threshold of 0.10% of R&D above which, the income distribution begins to improve. Finally, we estimate a growth equation that depends on R&D, income inequality, and physical capital. We obtain two thresholds, one of 38.79 for the Gini (above which the economic growth decreases), and one of 0.06% for R&D such that above it, economic growth is rising.     

The causal relationship between natural gas consumption and economic growth: evidence from the G7 countries

This article re-examines the nature of the causality between natural gas consumption and economic growth in G7 countries over the period from 1965 to 2011. We employ the Granger causality procedure proposed by Emirmahmutoglu and Kose (2011) which takes into account cross-sectional dependency and heterogeneity across countries. Our overall empirical results support the neutrality hypothesis for the panel while the individual country results confirm the same result with the exception of the case of UK, where the conservation hypothesis is confirmed, showing that GDP causes natural gas consumption in the country. These results make policies that promote the consumption of natural gas risk-free with regard to their effects to the economic growth and development levels.     

Top marginal taxation and economic growth

The article explores the relationship between top marginal tax rates on personal income and economic growth. Using a data set of consistently measured top marginal tax rates for a panel of 18 OECD countries over the period 1965–2009, this article finds evidence in favour of a quadratic top tax–growth relationship. This represents the first reported evidence of a nonmonotonic significant relationship between top marginal income tax rates and economic growth. The point estimates of the regressions suggest that the marginal effect of higher top tax rates becomes negative above a growth-maximizing tax rate in the order of 60%. As top marginal tax rates observed after 1980 are below the estimated growth-maximizing level in most of the countries considered, a positive linear relationship between top marginal tax rates and GDP growth is found over the sub-period 1980–2009. Overall, results show that raising top marginal tax rates which are below their growth maximizing has the largest positive impact on growth when the related additional revenues are used to finance productive public expenditure, reduce budget deficits or reduce some other form of distortionary taxation.     

对外开放与中国经济增长关系的实证研究

Based on an adjusted Solow economic growth model, using econometric tools such as cointegration test and Granger causality test, taking the economic factors such as foreign trade and foreign investment into account, this paper makes regression analysis on the effect of economic opening on China’s economic growth by using the data from 1985 to 2004. The analysis indicates that the domestic capital input is still the primary element that promotes China’s economic growth, by contrast, the effect of foreign trade and foreign investment is faint. It is a bidirectional causality between foreign trade and economic growth, and the adjusting velocity of trade is larger than the foreign direct investment on the balance of the China’s long-time economic growth.      

沈阳市产业结构变动与经济增长因果关系分析

基于灰色关联度分析-格兰杰因果检验两步法,对沈阳市1978～2009年间的地区生产总值(参考数列)和第一产业产值、第二产业产值、第三产业产值(比较数列)进行关联度分析和因果关系检验,得出以下结论:(1)关联度在不同的时间段具有差异性,且随着时间的推移,关联度呈下降趋势;(2)第一产业对经济增长的影响逐渐减弱,第二和第三产业对经济增长的影响呈加强趋势;而经济增长只对第二产业影响显著,且随着时间的推移,经济增长对第一产业逐渐失去影响力,对第三产业的影响也越来越不明显;(3)经济增长的主要驱动力是第二、第三产业,且第三产业对经济增长的驱动力越来越强。因此,要调整沈阳市的产业结构,稳步降低第二产业比重、增加第三产业比重是促进经济增长的有效途径。