Financial development and economic growth nexus in the MENA countries: Bootstrap panel granger causality analysis

This paper investigates the direction of causality between financial development and economic growth in the Middle East and North African (MENA) countries. The panel causality testing approach, developed by Kónya (2006) [Kónya, L. (2006), exports and growth: Granger causality analysis on OECD countries with a panel data approach, Economic Modelling, 23, 978–992], based on the Seemingly Unrelated Regressions and Wald tests with the country specific bootstrap critical values, is applied to the panel of fifteen MENA countries for the period 1980–2007. In order to capture the different aspects of financial development, six different indicators are used. Empirical results show that there is no clear consensus on the direction of causality between financial development and economic growth for all measurements of financial development and it is also observed that the findings are country specific.     

Can M&A activities act as a predictor of the performance of economic growth or stock prices?

One of the important issues with regard to the relationship between M&As (mergers and acquisitions) and economic growth or stock prices is whether such activities can act as a predictor of these two variables' performance, or whether these variables have resulted in significant impacts on M&A activities. The aim of this paper is to use the method proposed in Kónya (2006) to carry out a causality test among M&A activities, economic growth and stock prices, because the causal relationships that may be uncovered by this would be meaningful for both policymakers and stockholders. This paper uses quarterly data from six OECD countries for the period from April 1980 to March 2010. The bootstrap panel Granger causality test that this work applies also considers cross-sectional dependency and slope heterogeneity simultaneously. The findings of the paper are as follows. There is significant, one-way causality from stock prices to M&A activities, and thus changes in stock prices lead M&A activities. With real GDP as the control variable, for all the countries surveyed, except Australia, stock prices lead M&A activities. As for the impact that economic growth has on M&A activities, we conclude that, when using stock prices as the control variable, there is almost no lead-lag relationship between economic growth and M&A activities, except for in Japan.     

The relationship between population growth and standard-of-living growth over 1870–2013: evidence from a bootstrapped panel Granger causality test

This paper examines the linkages between population growth and standard-of-living growth in 21 countries over the period of 1870–2013. We apply the bootstrap panel causality test proposed by Kónya (Econ Model 23:978–992, 2006), which accounts for both dependency and heterogeneity across countries. We find one-way Granger causality running from population growth to standard-of-living growth for Finland, France, Portugal, and Sweden, one-way Granger causality running from standard-of-living growth to population growth for Canada, Germany, Japan, Norway and Switzerland, two-way causality for Austria and Italy, and no causal relationship for Belgium, Brazil, Denmark, Netherlands, New Zealand, Spain, Sri Lanka, the UK, the USA, and Uruguay. Dividing the sample into two subsamples due to a structural break yields different results over the two periods of 1871–1951 and 1952–2013. Our empirical results suggest important policy implications for these 21 countries as the directions of causality differ across countries and time period.     

Immigration,unemployment and GDP in the host country: Bootstrap panel Granger causality analysis on OECD countries

This paper examines the causality relationship between immigration, unemployment and economic growth of the host country. We employ the panel Granger causality testing approach of Kònya (2006) that is based on SUR systems and Wald tests with country specific bootstrap critical values. This approach allows one to test for Granger-causality on each individual panel member separately by taking into account the contemporaneous correlation across countries. Using annual data over the 1980–2005 period for 22 OECD countries, we find that, only in Portugal, unemployment negatively causes immigration, while in any country, immigration does not cause unemployment. On the other hand, our results show that, in four countries (France, Iceland, Norway and the United Kingdom), growth positively causes immigration, whereas in any country, immigration does not cause growth.     

The Causal Relationship between Economic Policy Uncertainty and Stock Market: A Panel Data Analysis

This study applies recently developed bootstrap panel Granger causality, proposed by Kónya, to investigate a causal link between economic policy uncertainty and stock markets in nine countries over monthly periods from 2003M01 to 2014M12 (Kónya (2006 Kónya, L. (2006). Exports and growth: Granger causality analysis on OECD countries with a panel data approach. Economic Modelling, 23, 978–992. doi: 10.1016/j.econmod.2006.04.008[Crossref], [Web of Science ®] , [Google Scholar]) Exports and growth: Granger causality analysis on OECD countries with a panel data approach. Economic Modelling, 23, 978–992). The modeling allows us to examine both the cross-sectional dependency and the country-specific heterogeneity. The empirical results indicate that not all countries are alike, and that the theoretical prediction that stock markets fall at the announcement of a policy change is not always supported. Specifically, this work finds evidence of the stock market leading hypothesis for India, Italy, and Spain, while the economic policy uncertainty leading hypothesis cannot be rejected for the United Kingdom. In addition, the neutrality hypothesis was supported in the remaining countries (Canada, China, France, Germany and the United States), while the feedback hypothesis, however, is not found. The findings of this study could provide important policy implications for these nine countries.     

Economic growth,exports and foreign direct investment in Least Developed Countries: A panel Granger causality analysis

This paper investigates potential Granger causality among the real GDP, real exports and inward FDI in Least Developed Countries for the period between 1970 and 2009. A new panel-data approach developed in Kónya (2006) [Kónya (2006), Exports and growth: Granger causality analysis on OECD countries with a panel data approach, Economic Modelling, 23, 978–992] which is based on SUR systems and Wald tests with country specific bootstrap critical values has been employed. The results indicate direct, one-period-ahead, unidirectional causality from exports to GDP in Haiti, Rwanda and Sierra Leone, and from GDP to exports in Angola, Chad and Zambia. Considering the FDI–Growth nexus, there is evidence of FDI Granger-causing GDP in Benin and Togo, and GDP Granger-causing FDI in Burkina Faso, Gambia, Madagascar and Malawi. While studying EXP–FDI relations, this paper finds that the causality is from FDI to real exports in Benin, Chad, Haiti, Mauritania, Niger, Togo and Yemen, and from real exports to FDI in Haiti, Madagascar, Mauritania, Malawi, Rwanda, Senegal and Zambia.     

Trade liberalization,financial modernization and economic development: An empirical study of selected Asia–Pacific countries

This study investigates the relationship between trade liberalization, financial modernization and economic development for 14 countries in the Asia and Pacific region over the period spanning from 1961 to 2011. The study uses panel data as they have many advantages over cross-sectional or time series data. In addition to analyzing the full panel, we also divide the 14 countries under study into two sub-samples: high-income countries and middle-income countries, based on World Bank's income classification as of 1st July 2013. The panel cointegration tests show a long run relationship between the above variables. The study uses Feasible Generalized Least Squares (FGLS) method to estimate the models and then conducts Granger causality tests to identify patterns of causation among the variables of interest. In general, the results indicate unidirectional causality (1) from financial modernization to economic development for the entire panel and the panel of middle-income countries; (2) from trade liberalization to economic development for the whole panel as well as two subpanels of high-income and middle-income countries; and (3) from trade liberalization to financial modernization for the whole panel as well as two subpanels. The findings of this study support that the actual effect of financial depth on economic development (and vice versa) seems to depend on the level of financial development.     

Broadband penetration and economic growth nexus: evidence from cross-country panel data

This article investigates whether there are Granger causal relationships between broadband penetration, degree of urbanization, foreign direct investment and economic growth using a panel data set covering the G-20 countries for the period 1998–2011. Using our multivariate framework, we first find that all of the variables are cointegrated. Our findings further reveal a network of causal connections between the variables including short-run bidirectional causality between broadband penetration and economic growth among the more developed countries within the G-20. On the other hand, for the developing countries within the G-20, there is evidence of unidirectional causality from economic growth to broadband penetration.     

Dynamics between energy,output, openness and financial development in sub-Saharan African countries

This study aims to establish the connection between energy use, economic output, financial development and trade, based on the panel data of 15 sub-Saharan African (SSA) countries during the period from 1983 to 2010. One full main panel and two subpanels were created by incorporating low-income and middle-income countries. The panel cointegration test results indicate a long-run relationship between the variables. The mean group (MG) estimators show that energy consumption, financial development, capital and international trade have significant impacts on economic output. In the case of middle-income countries, the Granger causality analysis reveals that rising economic output leads to higher energy consumption, but this is not true vice versa. This means that energy conservation measures are unlikely to have adverse impacts upon economic output. On the other hand, there is a complementary relationship between financial development and energy consumption. In this case, energy conservation measures should be critically analysed and implemented, so as not to have an unfavourable impact on financial development. In regard to low-income economies, there is no relationship between energy use and any of the other variables mentioned. Thus, a reduction in energy consumption has little or no significant impact on output, financial development, capital and trade.     

Financial development,trade openness and economic growth in African countries: New insights from a panel causality approach

This paper examines the causal relationship between financial development and economic growth for 21 African countries within a framework which also accounts for international trade. We develop a financial development index based on four different financial development indicators and apply the panel bootstrapped approach to Granger causality. The empirical results show limited support for the finance-led growth and the trade-led growth hypotheses. The results imply that recent attempts at financial development and trade liberalization do not seem to have made a significant impact on growth.     

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.     

Thresholds in finance–growth nexus: Evidence from G‐7 economies

This study explores the finance and economic growth nexus in G‐7 economies as these countries experience significantly higher levels of financial development. Using a balanced panel of 31 years from 1983 to 2013, we provide new evidence on the finance–growth relationship. We show the presence of nonlinearity as there is an inverted U‐shaped relationship between finance and growth in the long run. Estimating the thresholds in the finance–growth nexus, we notice that there exists a threshold effect of finance at 109% of Gross Domestic Product (GDP). We observe that exceeding the threshold would hinder the countries instead of furthering economic growth as too much finance is harmful. Based on the panel Granger causality test results, we claim that financial development should be associated with optimal growth performance. Our findings for the G‐7 economies offer some useful policy inferences to the emerging and developing economies in designing their financial development strategies.     

The energy-GDP nexus: Evidence from a panel of Pacific Island countries

The Pacific Island countries are small island economies that are increasingly dependent on energy for growth and development, yet highly susceptible to climate change. Thus, the relationship between energy consumption and GDP is crucial for realizing their future development and growth objectives. This article tests for Granger causality and provides long-run structural estimates for the relationship between energy consumption, GDP and urbanization for a panel of Pacific Island countries. For the panel as a whole in the long-run there is bidirectional Granger causality between energy consumption and GDP and these variables exert a positive impact on each other. A 1% increase in energy consumption increases GDP by 0.11%, while a 1% increase in GDP increases energy consumption by 0.23%. The findings suggest that for the panel as a whole these countries should increase investment in energy infrastructure and regulatory reform of energy infrastructure to improve delivery efficiency, continue to promote alternative energy sources and put in place energy conservation policies to reduce unnecessary wastage. These strategies seek to realize the dual objectives of reducing the adverse effects of energy use on the environment, while avoiding the negative effect on economic growth of reducing energy consumption.     

How similar are alcohol drinkers? International evidence

Using a Vector Autoregression (VAR) approach, several hypotheses are re-examined suggested by the literature concerning the relationship between financial development and economic growth, investment and productivity. The models use quarterly time-series data from ten OECD countries and China. Innovation accounting or variance decomposition and impulse response function analysis is applied to examine interrelationships between variables in the VAR system and, therefore, differs from the more usual Granger causality approach. In particular, it examines the relationship between financial development proxied by total credit. At best, weak support is found for the hypothesis that financial development ‘leads' economic growth.     

Financial Development and Economic Growth: Empirical Evidence from Six MENA Countries

This paper examines the causal relationship between financial development and economic growth for six Middle Eastern and North African countries (Algeria, Egypt, Israel, Morocco, Syria, and Tunisia), within a quadvariate vector autoregressive framework. We employ four different measures of financial development and apply the augmented vector autoregression vector (VAR) methodology of Toda and Yamamoto to test for Granger causality. Our empirical results strongly support the hypothesis that finance leads to growth in five out of the six countries. Only in Israel could weak support be found for causality running from economic growth to financial development but no causality in the other direction. These findings suggest the need to accelerate the financial reforms that have been launched since the mid 1980s and to improve the efficiency of these countries’ financial systems to stimulate saving/investment and, consequently, long‐term economic growth.     

Defence spending,economic growth and temporal causality: evidence from Taiwan and mainland China, 1952-1995

This paper uses a cointegration analysis and a vector autoregressive model (VAR) to examine the causal relationship between defence spending and economic growth for Taiwan and Mainland China over the period 1952–1995. It is found that these two variables are not cointegrated for both countries studied. The results of the Granger causality tests suggest bidirectional Granger causality (feedback) between defence spending and economic growth for Taiwan, unidirectional Granger causality running from economic growth to defence spending for Mainland China, and unidirectional Granger causality running from Taiwan's defence spending to Mainland China's defence spending for cross-country studied. These results further indicate that there exists no arms race between two countries from both sides of Taiwan strait. Furthermore, impulse responses and variance decompositions are incorporated into the analysis. The results from the impulse responses and variance decompositions tell a similar story.     

Financial Development and Economic Growth: An Egg‐and‐Chicken Problem?

This study uses a Granger causality procedure to investigate the relationship between financial development and economic growth. The authors estimate a vector autoregression (VAR) model for nine OECD countries and China. They argue that a time-series approach is superior to a cross-sectional one and that the VAR framework avoids technical problems common in other time-series models. Evidence is presented of bidirectional causality between financial development and growth in half of the countries and reverse causality in three others. There is little support for the hypothesis that finance "leads" growth, and caution must be exercised in making general conclusions about this relationship.     

金融发展与经济增长——基于1952-2007年中国数据的再检验

本文分别以金融抑制论和金融结构论为指导,根据中国的实际情况,建立数学模型,进行多元回归分析,并利用VAR因果关系检验和方差分解探索中国金融发展与经济增长之间的关系.结论表明:(1)无论是金融抑制论还是金融结构论,金融发展与经济增长之间存在显著的正相关;(2)对于模型1来说,金融发展与经济增长存在单向因果关系,属于需求追随型;而模型2并没有显示金融发展与经济增长存在明显的因果关系,以银行为主导的金融结构通过内在传导机制对经济增长产生影响;(3)从金融发展对经济波动解释的力度来看,金融抑制论对解释金融发展与经济增长之间的关系比较弱,而金融结构论对经济增长的解释力要强.因此,在强调市场对金融资源优化配置的同时,更加关注以银行业为主导的金融机构改革,理顺金融发展与经济增长内在机制,以实现金融发展与经济增长相互促进、共同发展的目标.     

Financial depth,internet penetration rates and economic growth: country-panel evidence

The article investigates causal relationships between internet penetration rates, financial depth and per capita economic growth in the Next-11 countries. Using panel vector autoregressive (VAR) approaches, our empirical results show that these variables are cointegrated. Moreover, we find bidirectional causality between internet penetration rates and economic growth, and between financial depth and economic growth in the short run.     

Relationship between trade openness and economic growth in Latin America: A causality analysis with heterogeneous panel data

We empirically analyze the causality relationship between economic growth and international trade using new advancements in the econometric methodology for heterogeneous panel data applied to Latin American countries. First, we test for dependencies between the units of cross‐section (countries) and then we test for cointegration between growth and openness. Finally, we test for Granger causality using a heterogeneous panel data test. The results reject the hypothesis of general, unidirectional, and homogeneous relationship between trade openness and economic growth in Latin American countries as a group. However, considering heterogeneity, we found significant evidence of causality from trade liberalization to economic growth in Chile, Peru, Nicaragua, and Uruguay; we have found bidirectional causality in Mexico and Honduras; and a causal relationship from economic growth to trade liberalization in Colombia, Costa Rica, Guatemala, and the Dominican Republic.