Time-varying linkages between tourism receipts and economic growth in a small open economy

The causal link between tourism receipts and GDP has recently become the major focus of some recent studies in tourism economics. Results obtained in these studies about the causal link appear to be sensitive with respect to the countries analyzed, sample period and methodology employed. Considering the sensitivity of the causal link, we use the rolling window and time-varying coefficients estimation methods to analyze the Granger causality based on Vector Error Correction Model (VECM). When applied to Turkey for the 1963–2006 periods, this methodology enables us to overcome differences in the outcome of the tests performed in other studies for tourism receipts and GDP. The findings of this paper are as follows: results from the full sample within the VECM model indicate that there is no Granger causality between the series, while the findings from the time-varying coefficients model based on the state-space model and rolling window technique show that GDP has no predictive power for tourism receipts; however, tourism receipts have a positive–predictive content for GDP following early 1980s.     

Is the tourism–economic growth nexus time-varying? Bootstrap rolling-window causality analysis for the top 10 tourist destinations

This article explores the time-varying causal nexus between tourism development and economic growth for the top 10 tourist destinations in the world, namely China, France, Germany, Italy, Mexico, the Russian Federation, Spain, Turkey, the UK and the United States of America, over the period 1990–2015. To that end, a bootstrap rolling window Granger causality approach based on the modified Granger causality test is used. A new index for tourism activity which combines via principal component analysis the commonly used tourism indicators is also employed. The results of the bootstrap rolling window causality tests reveal that the causal relations between tourism and economic growth vary substantially over time and across countries in terms of both magnitude and direction. It is shown that the causal linkages tend to be more pronounced for a large group of countries following the global financial crisis of 2008. Additionally, Germany, France and China clearly stand out as the countries with the weakest causal nexus, while the UK, Italy and Mexico emerge as the countries that have the strongest causal links. These results have particularly important implications for policymakers.     

The export-output growth nexus in Japan: a bootstrap rolling window approach

The purpose of this article is to examine the export–output nexus in Japan by taking into account the time variation in the causal link with bootstrap Granger non-causality test and rolling estimation. The data used cover the seasonally adjusted real export and real Gross Domestic Product (GDP) for the 1957:1–2009:1 period. Standard Granger causality tests indicate no causality between export and real GDP series. On the contrary, full sample-modified Granger causality tests based on bootstrap, which are applicable irrespective of integration–cointegration properties of the data, indicate a bi-directional causal link between exports and real GDP. Accordingly, export growth should be an important factor behind Japan’s high-economic growth in the last three decades. Using parameter stability tests, we show that these results are not uniform for different sample periods and results vary due to structural changes. Using bootstrap rolling window estimation, we find that there is a positive bi-directional predictive power from the mid 1970s to the late-1980s between the series, while from the late 1990s to 2009 there is a positive predictive power only from export growth to output growth.     

Foreign direct investment and growth in India: a cointegration approach

The two-way link between foreign direct investment and growth for India is explored using a structural cointegration model with vector error correction mechanism. The existence of two cointegrating vectors between GDP, FDI, the unit labour cost and the share of import duty in tax revenue is found, which captures the long run relationship between FDI and GDP. A parsimonious vector error correction model (VECM) is then estimated to find the short run dynamics of FDI and growth. Our VECM model reveals three important features: (a) GDP in India is not Granger caused by FDI; the causality runs more from GDP to FDI; (b) trade liberalization policy of the Indian government had some positive short run impact on the FDI flow; and (c) FDI tends to lower the unit labour cost suggesting that FDI in India is labour displacing.     

Coal consumption: An alternate energy resource to fuel economic growth in Pakistan

This study is an attempt to revisit the causal relationship between coal consumption and economic growth in case of Pakistan. The present study covers the period of 1974–2010. The direction of causality between the variables is investigated by applying the VECM Granger causality approach. Our findings have exposed that there exists bidirectional Granger causality between economic growth and coal consumption. The Cumulative Sum (CUSUM) and Cumulative Sum of Square (CUSUMSQ) diagrams have not found any structural instability over the period of 1974–2010.     

Financial development and economic growth in Greece: an empirical investigation with Granger causality analysis

This paper empirically examines the causal relationship between the degree of openness of the economy, financial development and economic growth by using a multivariate autoregressive VAR model in Greece for the examined period 1960:I-2000:IV. The results of cointegration analysis suggest that there is one cointegrated vector among GDP, financial development and the degree of openness of the economy. Granger causality tests based on error correction models show that there is a causal relationship between financial development and economic growth, but also between the degree of openness of the economy and economic growth.     

Causality between credit depth and economic growth: evidence from 24 OECD countries

Causality between the ratio of domestic private credit to GDP and growth in real GDP per capita is investigated in a country-by-country time-series framework for 24 OECD economies over the period 1980–2013. The proposed threefold methodology to test for causal linkages integrates (1) lag-augmented VAR Granger causality tests, (2) Breitung–Candelon causality tests in the frequency domain, and (3) testing for causal inference based on a fully modified OLS (FMOLS) approach. For 12 of 24 countries in the sample, the three tests yield uniform results in terms of causality presence (absence) and direction. Causality running from credit depth to economic growth is found for the UK, Australia, Switzerland, and Greece. The findings lend no support to the view that financial development shifts from a supply-leading to demand-following pattern as economic development proceeds. The aggregate results mesh well with the current discussion on “too much finance” and disintermediation effects. However, idiosyncratic country determinants also appear significant.     

Energy consumption and economic growth in the United States

We study the relationship between energy consumption and real GDP in the USA using a multivariate time-varying model [1973Q1–2014Q1]. We show that the combination of disaggregation into specific fuels and time variation gives more nuanced results than the alternatives for the USA. Specifically, we find that the Granger causal relationship between total energy and real US GDP is bi-directional through much of the 1990s, but unidirectional running from real US GDP to energy consumption in the 2000s. As for each fuel, similar patterns of change were observed in the causal relationship between coal consumption and real US GDP. Oil consumption largely shows a bi-directional relationship between consumption and US GDP, especially after 2009. And natural gas consumption shows a brief period in the early-to-mid 2000s where US GDP predicts energy consumption, but primarily shows that natural gas consumption and economic growth are independent.     

Energy consumption,employment, output,and temporal causality: evidence from Taiwan based on cointegration and error-correction modelling techniques

In this study, a cointegration analysis and a vector autoregressive model (VAR) are used to examine the causal relationships among energy consumption, employment, and output for Taiwan over the period January 1982 to November 1997. Johansen (1988) and Johansen and Juselius (1990) cointegration test result indicates these three variables are cointegrated with one cointegrating vector. The results from Granger causality tests based on vector error-correction models (VECM) suggest bidirectional Grange causality for employment-output and employment-energy consumption, but only unidirectional causality running from energy consumption to output. Furthermore, the impulse responses and variance decompositions are also incorporated into the analysis. The results from impulsive response and variance decomposition analysis tell similar stories. Energy consumption appears to have led to output growth in Taiwan over this period. The policy implication of this finding is that energy conservation will restrain the output growth in Taiwan.     

中国住宅投资引领经济增长吗?

本文运用1985—2009年中国各省、直辖市、自治区的数据,对住宅投资与经济增长之间的领先—滞后关系进行分析。结果表明,无论是1985—2009年全时段还是以1998年大规模房改为分界线的分时段,无论是全国各省市还是分区域的各省市面板数据,经济增长引领住宅投资的单向Granger因果关系是稳定的;不同于一些研究和政策措施所主张的住宅投资引领经济增长的观点,本文认为找不到证据来支持住宅投资带动经济增长的论点。由此可见,所谓"住宅引领增长假说"在我国并不成立,而我国自上世纪90年代中期以来一直大力促进住宅投资以带动经济增长、把住宅建设当作国民经济的新增长点和支柱产业的政策值得反思。     

Does fine wine price contain useful information to forecast GDP? Evidence from major developed countries

This study provides the first attempt to examine the ability of the price of fine wine to forecast the Gross Domestic Product (GDP) for the major developed countries. Considering the limitation of a linear Granger causality test in detecting nonlinear causal relationships, a nonlinear Granger causality test is also employed. The results from our nonlinear causality test show that this new variable contains useful information to forecast GDP for the US, the UK, and Australia, suggesting that we may include it as a forecasting variable in GDP forecasting models, especially nonlinear models, for these three countries.     

The dynamic causality between commodity prices,inflation and output in China: a bootstrap rolling window approach

In this article, we empirically study the time-varying bilateral causality between commodity prices, inflation and output in China. We first perform a series of parameter stability tests and find strong evidence of instability in the parameters estimated for Granger causality tests. We then use the bootstrap rolling window approach to test the causality and find that the causality from commodity prices to both inflation and output is time-varying in the entire sample period and asymmetric in different phases of the business cycle. We also find evidence of the causality from both inflation and output to commodity prices in certain sub-periods. Further discussion on the cost-price mechanism through which the economy fluctuates cyclically suggests that the dynamic causality between commodity prices and inflation contributes to understanding the nature of economic fluctuations and to forecasting economic crises. Overall, our results provide a new perspective to disentangle economic fluctuations.     

Financial development and poverty in developing countries: a causal analysis

This article empirically examines the possible causal links between financial development and poverty in developing countries. To this end, we apply a modified form of traditional Granger causality tests to suit the short times series that are available. We conclude that the evidence supports the hypothesis that in the period of the 1970s–1980s financial development, measured by liquid assets of the financial system as a share of GDP or by money and quasi money as a percentage of GDP, leads to the reduction of moderate poverty. These results do not appear for the period of the 1980s–1990s or when financial development is measured by the ratio of the value of credits granted by financial intermediaries to the private sector to GDP, whereas they seem to be strengthened by using summary measures of financial development. Likewise, our analysis does not show any evidence of Granger causality from poverty to financial development.     

中国能源消费与经济发展的动态关系研究

运用协整理论,研究了1953--2006年中国能源消费与实际GDP之间的关系。结果表明：中国能源消费和实际GDP之间存在协整关系。建立了能源消费与实际GDP之间的误差修正模型,并通过基于误差修正模型的格兰杰因果关系检验分析了中国能源消费和实际GDP之间的因果关系。结果表明：存在能源消费到实际GDP的短期格兰杰因果关系,存在实际GDP到能源消费的长期格兰杰因果关系。采用HP滤波技术分离出能源消费和实际GDP的趋势成分和周期成分,对能源消费和实际GDP的趋势成分、周期成分之间的关系进行分析。结果表明,能源消费和实际GDP的趋势成分之间存在共同趋势,能源消费和实际GDP的波动成分具有相同的波动特征。最后得出结论：中国能源消费与实际GDP之间的协整关系与经济增长和能源消费的共同波动有关。     

Temporal causality and the dynamics of democracy,emigration and real income in Fiji

This study is the first to explore temporal causality between democracy, emigration and real income in Fiji within a multivariate cointegration model. We find three long run relationships between democracy, emigration and real income. In the long run there is evidence that migration and democracy Granger cause real GDP in Fiji; real GDP and democracy Granger cause migration from Fiji and that real GDP and migration Granger cause democracy in Fiji. In the short run we find unidirectional Granger causality running from migration to real GDP and from democracy to real GDP, but neutrality between democracy and migration in the short run. We also extend the analysis to examine the degree of exogeneity of the variables beyond the sample period through considering the decomposition of variance and impulse response functions.     

A contribution of foreign direct investment,clean energy,trade openness,carbon emissions and economic growth to energy demand in UAE

This paper investigates the relationship between foreign direct investment, clean energy, trade openness, carbon emissions and economic growth in case of UAE covering the period of 1975Q1–2011Q4. We have tested the unit properties of variables in the presence of structural breaks. The ARDL bounds testing approach is applied to examine the cointegration by accommodating structural breaks stemming in the series. The VECM Granger causality approach is also applied to investigate the causal relationship between the variables. Our empirical findings confirm the existence of cointegration between the series. We find that foreign direct investment, trade openness and carbon emissions decline energy demand. Economic growth and clean energy have positive impact on energy consumption.     

Does self-fulfilment of the inflation expectation exist?

This study examines the causal relationship between the actual and expected inflation in the U.S., using the bootstrap Granger full-sample causality test and sub-sample rolling-window estimation test to illustrate the self-fulfilment of inflation expectations. The full-sample result indicates that there is a bidirectional causality between the actual and expected inflation, showing the possibility of self-fulfilment of inflation expectations which illustrates that inflation is driven by inflation expectation. However, considering structural changes in two series, we find that the short-run causal nexus between the actual and expected inflation using full-sample data are fraudulent. By adopting a time-varying rolling-window approach to revisiting the dynamic causal relationships, this article identifies that the actual inflation has both positive and negative impacts on the expected inflation in distinct sub-periods. Nevertheless, inflation expectation exerts only negative effects on the actual inflation. The results point out that the self-fulfilment of inflation expectations does not exist. Given the bidirectional nexus between the actual and expected inflation, keeping a low and stable inflation is critical to price stability and anchoring of inflation expectation.     

Energy consumption promotes economic growth or economic growth causes energy use in China? A panel data analysis

This study tries to examine the causal relationship between energy consumption and economic growth for twenty-nine provinces of China by employing the panel Granger causality analysis. The econometric methodology used in this paper allows us to untangle the causal nexus between energy consumption and economic growth and helps us to discriminate between competing theories on which hypothesis is applicable to China. Among the main results, it is found that there is no causality in two out of twenty-nine provinces and bidirectional causality is observed in sixteen out of twenty-nine provinces. Unidirectional causality is observed in eleven out of twenty-nine provinces of China. When bootstrap critical values are used, our empirical findings indicate that there is an unidirectional causal link running from real output to energy use for China, implying that economic growth significantly affects energy consumption, and hence, the conservation hypothesis is applicable to China.     

CO2 emissions,output, energy consumption,and trade in Tunisia

This article contributes to the literature by investigating the dynamic relationship between carbon dioxide (CO₂) emissions, output (GDP), energy consumption, and trade using the bounds testing approach to cointegration and the ARDL methodology for Tunisia over the period 1971–2008. The empirical results reveal the existence of two causal long-run relationships between the variables. In the short-run, there are three unidirectional Granger causality relationships, which run from GDP, squared GDP and energy consumption to CO₂ emissions. To check the stability in the parameter of the selected model, CUSUM and CUSUMSQ were used. The results also provide important policy implications.     

Natural gas prices and stock prices: Evidence from EU-15 countries

This study investigates the long-run relationship between natural gas prices and stock prices by using the Johansen and Juselius cointegration test and error–correction based Granger causality models for the EU-15 countries. We employ quarterly data covering the period from 1990:1 to 2008:1. Empirical findings suggest that there is a unique long-term equilibrium relationship between natural gas prices, industrial production and stock prices in Austria, Denmark, Finland, Germany and Luxembourg. However, no relationship is found between these variables in the other ten EU-15 countries. Although we detect a significant long-run relationship between stock prices and natural gas prices, Granger causality test results imply an indirect Granger causal relationship between these two variables. In addition, we investigate the Granger causal relationship between stock returns, industrial production growth and natural gas price increase for Austria, Denmark, Finland, Germany and Luxembourg. As a result, increase in natural gas prices seem to impact industrial production growth at the first place. In turn, industrial production growth appears to affect stock returns.