Exports and growth: Granger causality analysis on OECD countries with a panel data approach

This paper investigates the possibility of Granger causality between the logarithms of real exports and real GDP in twenty-four OECD countries from 1960 to 1997. A new panel data approach is applied which is based on SUR systems and Wald tests with country specific bootstrap critical values. Two different models are used. A bivariate (GDP–exports) model and a trivariate (GDP–exports–openness) model, both without and with a linear time trend. In each case the analysis focusses on direct, one-period-ahead causality between exports and GDP. The results indicate one-way causality from exports to GDP in Belgium, Denmark, Iceland, Ireland, Italy, New Zealand, Spain and Sweden, one-way causality from GDP to exports in Austria, France, Greece, Japan, Mexico, Norway and Portugal, two-way causality between exports and growth in Canada, Finland and the Netherlands, while in the case of Australia, Korea, Luxembourg, Switzerland, the UK and the USA there is no evidence of causality in either direction.     

Determinants of international tourism: a three-dimensional panel data analysis

International tourism is a fast growing industry generating half a trillion dollars in annual revenues and accounting for almost 10%?of total international trade, and almost half of total trade in services. Yet, it has so far failed to receive the attention it deserves from mainstream economics. This paper attempts to provide an initial understanding of the determinants of international tourism. This paper claims that international tourism, as other forms of trade in services, is driven by unique factors of production, and may be better dealt with in a single industry study rather than in a general equilibrium trade model. In order to understand these determinants the world is viewed as a market of differentiated products, and a discrete choice estimation technique is applied to a large three-dimensional data set of tourist flows. It is shown that a relatively simple estimation technique, combined with a rich data set, can deliver reasonable substitution patterns. It is found, among other things, that political risk is very important for tourism, and that exchange rates matter mainly for tourism to developed countries. These have exchange rate elasticity of about one.     

Exports,imports, growth and causality: a study of Slovakia

In this article, we analyse the trade–growth nexus for Slovakia. This country represents a critical case for such research because it is one of the most open economies in the world; by several measures it is the most open economy in the EU, with the most Eurocentric trade, and has maintained one of the best growth performances within the EU over a sustained period of time. In contrast to most contributions to the trade–growth literature, we analyse all six possible causal relationships between Slovakia’s exports, imports and growth, using the technique developed by Toda and Yamamoto (1995), on quarterly data from 1997Q1 to 2014Q4. We find evidence supporting both the export-led-growth hypothesis and the import-led-growth hypothesis. None of the other four relationships was found to be significant.     

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.     

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.     

Labour market institutions and unemployment: an international panel data analysis

This paper deals with the effects of labour market institutions on unemployment in a panel of 19 OECD countries for the period 1960–2000. In contrast to many other studies, we use long time series and analyse cyclically adjusted trend values of the unemployment rate. Our novel contribution is the estimation of panel models where we allow for heterogeneous effects of institutions on unemployment. Our main results are, first, that on the average tighter employment protection, a higher tax burden on labour income and a more generous unemployment insurance system increase, whereas a higher centralization of wage negotiations decreases unemployment, and secondly, that the magnitude of the effects of institutions differs considerably between countries.     

Exports, imports, and economic growth in Portugal: evidence from causality and cointegration analysis

This paper investigates the Granger-causality between exports, imports, and economic growth in Portugal over the period 1865–1998. The role of the import variable in the investigation of exports–output causality is emphasized, enabling one to test for the cases direct causality, indirect causality, and spurious causality between export growth and output growth. The empirical results do not confirm a unidirectional causality between the variables considered. There is a feedback effect between exports–output growth and imports–output growth. More interestingly, there is no kind of significant causality between import–export growth. Both results seem to support the conclusion that the growth of output for the Portuguese economy during that period revealed a shape associated with a small dual economy in which the intra-industry transactions were very limited.     

Output growth and investment dynamics in Finland: a panel data analysis

This study analyzes the relationship between output growth and investment in a panel of 20 regions of Finland over the period 1975–2007. This regional study uses Granger non-causality and error-correction models. The most important finding of this study is a unidirectional causality which runs from investment to output growth. The study also verifies the existence of a positive association between growth and investment for the panel of 20 regions of Finland. These findings reconcile with the capital fundamentalists.     

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.     

Economic growth and financial development in Asian countries: A bootstrap panel Granger causality analysis

This study using Kónya (2006) [Kónya, L. (2006). Exports and growth: Granger causality analysis on OECD countries with a panel data approach. Economic Modelling 23, 978–992.] method of bootstrap panel Granger causality analysis, which considers the issues of cross-sectional dependency and slope heterogeneity among countries investigated simultaneously, analyzes the causality between financial development and economic growth among ten Asian countries surveyed during period 1980 to 2007. We find that the direction of causality between financial development and economic growth is sensitive to the financial development variables used in the ten Asian countries examined in this work. Moreover, our findings support the supply-leading hypothesis, as many financial development variables lead economic growth in some of the ten Asian countries surveyed, especially in China.     

On the measurement and analysis of aggregate economic activity for China: the coincident economic indicators approach

This paper reviews some of China's high-frequency economic indicators and our principal findings on their selection and use. Our aim is to develop a composite index of coincident economic indicators (coincident economic index, CEI) which can be used to obtain timely information on the present state of the China's economy and provide an appropriate measure to analyze China's short-term macroeconomic dynamics. Notably, combining industrial production, retail sales, manufacturing employment, income of financial institutions and passenger traffic volume, they work well as the method for dating business cycles for China. It shows that, over the past two decades, there was one marked recession which occurred in 1988:8 to 1989:12. In addition to this business cycle chronology we also develop a growth cycle chronology based on the deviations from trend of the CE which shows that there have been four cyclical slowdowns since 1986. Whereas GDP growth lacks cyclical movements and appears to be dominated by trend and irregular movements, in contrast to GDP, the CEI works well as a measure of cyclical dynamics and can contribute to the analysis of short-term fluctuations of Chinese economic activity relative to its long-term growth.     

Income and religion: a heterogeneous panel data analysis

A recent empirical literature has addressed the relationship between income and religion, but most of the studies are based on microdata. Macroeconomic analysis of the issue has largely ignored the potential heterogeneity between countries. Using retrospective data on church attendance rates for a panel of countries between 1925 and 1990, we apply heterogeneous panel data estimators and reveal that the effect of participation in religious activities on income per capita is mostly non-significant. This is consistent with some of the recent research that casts doubt onto the influence of religion on income, once causality is taken into account.     

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.     

Driving forces for research and development strategies: an empirical analysis based on firm-level panel data

This paper investigates empirically different ways to organize research and development (R&D) within Swiss firms. Based on a longitudinal data set comprising three cross-sections (1999, 2002, and 2005) of the Swiss Innovation Survey, four different types of R&D strategies could have been separated; firms combine in-house R&D with R&D co-operations (coop) or in-house R&D with external R&D (buy), or they conduct in-house R&D, external R&D, and R&D co-operations (mixed), or they exclusively rely on in-house R&D (make). It is the aim of this paper to understand what drive firms to go for different strategies. Based on econometric estimations controlling for correlations between the dependent variables and endogeneity among the independent variables, it was found that concepts related to the absorptive capacity, incoming spillovers, and appropriability, the importance of different knowledge sources, the competitive environment, costs, and skill aspects as well as technological uncertainty are essential factors to determine a firm's decision to choose a specific way to organize R&D.     

Fiscal transparency,government effectiveness and government spending efficiency: Some international evidence based on panel data approach

The global financial crisis and the debt crisis of the EU countries revealed serious weaknesses in fiscal reporting. As a consequence, uncertainties regarding the real situation of the public accounts of the countries raised doubts in relation to the effectiveness of government policies. Since then, countries are undertaking reforms in order to improve fiscal transparency. This paper analyzes whether countries are making efforts to enhance fiscal transparency, and whether fiscal transparency affects government effectiveness and government spending efficiency. We consider two channels through which this effect occurs. The first channel is indirect and it works through public debt. The second channel is the direct effect that transparency has on government effectiveness and government spending efficiency once transparency enhances accountability and thus the task of resource allocation. We use a sample of 82 countries (68 developing and 14 developed) for the period 2006–2014, and panel data analysis. Comparing the scores of fiscal transparency between 2006 and 2014, we observe that approximately 80 per cent of the countries made efforts to improve fiscal transparency. The results suggest fiscal transparency is important to reduce public debt and to improve government effectiveness and government spending efficiency.     

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.     

Technological progress and scientific indicators: a panel data analysis

Total factor productivity (TFP) is generally interpreted to be a proxy for technological advancement. In this paper, we use stochastic frontier analysis to decompose the growth in TFP into three components: technological progress, scale effect and change in technical efficiency. Then, we conduct a comprehensive panel data analysis using the technological progress component of the TFP growth and several scientific and technological indicators using data from 160 countries over the period from 1960 to 2009. Our results generally show that the technological progress component of the TFP growth properly reflects certain dimensions of actual scientific and technological progress. However, we also find that this result is somewhat sensitive to different econometric specifications and assumptions.     

The macroeconomy and microfinance outreach: a panel data analysis

This study examines the effects of macroeconomic and institutional factors on microfinance institution (MFI) outreach. To capture the performance of the macroeconomy, we include proxies for institutional quality, economic growth, FDI inflow, unemployment rate, inflation and the prevalence of wage-earning jobs. Further, we examine effects on outreach along the dimensions of outreach depth and outreach breadth. Using data on 1526 MFIs from 99 countries over the period 2000 to 2015, our results suggest that environments characterised by high levels of economic performance and good institutions tend to hinder outreach performance. These results suggest that MFIs depend on a poor economy to thrive given the informal nature of microfinance.     

The growth-maximizing level of regulation: Evidence from a panel of international data

Existing evidence suggests that regulation diminishes economic growth. In theory, however, regulation may be either growth-enhancing or diminishing. We therefore empirically revisit the relation between regulation and growth, allowing for both positive and negative effects. In an unbalanced panel of 132 countries over eight time periods, we find evidence of a hump-shape relation between regulation and growth. The estimates imply that for more than 95% of the sample the total effect of regulation on growth is positive. The estimates also imply that about 60% of the sample observations are associated with over-regulation, relative to the growth-maximizing level. Similar findings apply to the (majority) subsample of non-OECD nations in the dataset. However, for the (minority) subsample of OECD nations, both the total and marginal effects of regulation on growth are negative.     

Economic complexity,human capital and economic growth: empirical research based on cross-country panel data

Economic complexity reflects a country’s production capabilities and plays an important role in economic growth. This article measures the economic complexity of 210 countries using the method of reflections, and investigates the impact of economic complexity and human capital on economic growth. The measurement results show that there are significant differences regarding the level of complexity among countries. High-income economies have higher complexity than low- and middle-income economies. The empirical findings demonstrate that economic complexity and different levels of human capital have positive effects on long- and short-term growth. A positive interaction effect on economic growth exists between economic complexity and human capital. In addition, secondary education as a proxy for human capital has a relatively greater positive direct effect and a much stronger interactive effect with complexity on economic growth. In addition, the magnitude of the interaction effect between economic complexity and human capital on long- and short-term growth increases as the revealed comparative advantage threshold grows.