The causal relationship between air transport and economic growth: Empirical evidence from South Asia

This paper examines the causal relationship between air transport and economic growth in the South Asian context. Using panel data over a period of 42 years (1973–2014), we apply Pedroni/Johansen cointegration test methods, followed by Granger long-run and Wald short-run causality tests. To allow for spatial heterogeneity we then apply Time Series Cross Section (TSCS) Granger causality tests for each of the eight analysed countries separately. Our results confirm a long-run uni-directional Granger causality which runs from GDP to air passenger traffic and also to air freight volumes. Contrary to the existing literature we do not find a long-run bi-directional causality which confirms that spatial dimensions and context matter (i.e. low income and large populations). The absence of short-run causality and the identified time lags of 3–4 years should guide aviation firms and policy makers in the preparation of necessary infrastructure required to support the strong air transport growth potential.     

Air cargo expansion and economic growth: Finding the empirical link

This paper applies Granger causality tests to examine the causal relationship between air cargo expansion and economic growth in Taiwan for the period 1974–2006. The results of cointegration tests show a long-run equilibrium and bi-directional relationship between air cargo expansion and economic growth in the case of Taiwan.     

New insights into an old issue – examining the influence of tourism on economic growth: evidence from selected small island developing states

This paper uses relatively new heterogeneous panel autoregressive distributed lag cointegration methods to re-examine the long-run equilibrium and Granger causality relationship between tourism and economic growth for the small island developing states (SIDSs). In addition, the study incorporates energy consumption and foreign direct investment (FDI) as alternative growth determinants, during the period 1995–2014. After allowing for the heterogeneous country effect, a positive and statistically significant long-run equilibrium relationship between tourism, energy consumption, FDI, and gross domestic product, with a moderate convergence rate towards the long-run path is confirmed. The panel Granger causality test as proposed by Dumitrescu and Hurlin [(2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450–1460.] shows bidirectional causality running from tourism to economic growth, from tourism to energy consumption and from energy consumption to economic growth, and unidirectional causality between FDI and tourism, between economic growth and FDI, and between FDI and energy consumption. Our empirical findings provide support for tourism-induced growth, tourism-induced energy consumption, tourism-induced investment, and the energy consumption-economic growth relationship in the case of SIDSs. Our empirical results resonate with the existing findings with major policy implications for the SIDSs.     

The interaction between tourism and FDI in real estate in OECD countries

The purpose of this article is to investigate the empirical link between foreign direct investment (FDI) in real estate sector (FDIRE) and international tourism (TOUR). Panel co-integration and panel Granger causality techniques are applied to analyse both long- and short-run relationships for the case study of selected OECD countries. Our empirical results show the existence of the long-run and a bi-directional causal relationship between FDIRE and TOUR. The results provide some implications for policy-makers.     

Tourism development and economic growth: a panel Granger causality analysis in the frequency domain

In this paper, we test the causal relationship between economic growth and tourism development in the 1995–2012 period using recently developed panel Granger causality tests that allow for country-level heterogeneity, thus leading to more accurate results for the 12 Mediterranean countries. Although results of the Dumitrescu and Hurlin [(2012) testing for Granger non-causality in heterogeneous panels. Economic Modelling, 29(4), 1450–1460] panel Granger causality test show a unidirectional causality from tourism development to economic growth, results of the Croux and Reusens [(2013). Do stock prices contain predictive power for the future economic activity? A Granger causality analysis in the frequency domain. Journal of Macroeconomics, 35, 93–103] panel Granger causality analysis in the frequency domain show that there is a bidirectional temporary and permanent causality between tourism development and economic growth. The bidirectional causality relationship between tourism development and economic growth, which is the main finding of this study, suggests that in order to achieve high economic growth, policy-makers should focus on developing the tourism sector.     

Air transport demand and economic development in sub-Saharan Africa: Direction of causality

Air transport may be a key tool to advance economic development. However, it is uncertain whether air transport boosts economic development, or vice versa. Both views have theoretical and empirical support. In some countries and regions, air transport is important for initiating development, for example by attracting foreign direct investment or granting access to lifelines. Elsewhere, economic development drives air transport demand. Establishing the direction of causality for regions/countries segmented by income level may inform pragmatic policy. This study analyzes the causal relationship between air transport demand and economic development for six sub-Saharan African countries for the period 1981–2018. Vector error correction and vector autoregression models are employed to identify long- and short-run causalities. The results reveal heterogeneous, context-specific causal relationships. In the long-run, for South Africa, Nigeria and Kenya, the direction of causality runs from economic development to air transport demand; for Ethiopia, causality runs in the opposite direction, with increased demand for air transport promoting economic development; and for Senegal and Angola, the relationship is too weak to infer causal directions. Possible explanations for this heterogeneity include differences in per capita income, low-cost carriers' share of national aviation markets, the presence of large home-based airlines, and comparative geographical advantage as a natural hub.     

Tourism development and economic growth in the Mediterranean countries: evidence from panel Granger causality tests

The aim of this study is to examine the relationship between tourism development and economic growth in the Mediterranean countries using the newly developed panel Granger causality tests for the 1995–2010 period. It is concluded that while there is bidirectional causal nexus between tourism development and economic growth for Portugal, unidirectional causal nexus from economic growth to tourism development is found for Spain, Italy, Tunisia, Cyprus, Croatia, Bulgaria and Greece. Therefore, the growth-led tourism hypothesis is supported in case of these seven countries. On the other hand, there is no causal relation for Malta and Egypt. The study finds evidence to support the tourism-led growth hypothesis for a group of panel in Mediterranean countries. The results of the overall study suggest that governments of Mediterranean countries should focus on economic policies to promote tourism as a potential source of economic growth.     

Exploring causality in trade and air passenger travel relationships: the case of Asia-Pacific, 1980–2010

This paper explores the potential of heterogeneous Granger analysis in transport geography research by applying this method to a specific case of the often complex and potentially reciprocal linkages between the deployment of transport infrastructures and spatial economic development: the linkages between rising intra-regional volumes of trade and air passenger traffic in Asia-Pacific. Although conceptual and empirical linkages between both indicators can be assumed based on previous research, relatively little is known about the actual causality. Using heterogeneous Time Series Cross Section Granger causality analysis for the period 1980–2010, we explore the presence of four ‘causality scenarios’ amongst different country-pairs: (1) there is no co-evolution, implying that both patterns develop independently (e.g. Japan–Australia); (2) there is ‘real’ co-evolution in that both patterns influence each other through feedback loops (e.g. South Korea–Philippines); (3) air passenger traffic is facilitated by trade (e.g., South Korea–Philippines); or (4) trade is facilitated by air passenger traffic (e.g. Australia–Malaysia). Some tentative interpretations of this heterogeneity are offered.     

Exploring the dynamic linkages between tourism growth and environmental pollution: new evidence from the Mediterranean countries

ABSTRACT

The present study explores the impact of tourism on environmental pollution using a comprehensive set of air pollutants, namely CO₂, CO, NO_x, SO₂, PM_2.5, and PM₁₀, in a multivariate framework under the context of the Mediterranean countries. The panel cointegration tests indicate that there is a long-run equilibrium relationship between environmental pollution, energy consumption, economic development and tourism growth. The tourism-induced EKC hypothesis is validated for four out of six air pollution indicators in the Southern Mediterranean countries, whereas in the Northern Mediterranean region we fail to document any evidence supporting the hypothesis. In addition, tourism growth has a differential impact on different air pollution indicators across regions. The major findings from the panel Granger causality tests show that bidirectional causality exists between four air pollutants (CO₂, NO_x, SO_2, and PM_2.5) and tourism and unidirectional causality runs from CO and PM₁₀ to tourism growth in the Northern Mediterranean. In contrast, there is a feedback relationship between environmental pollution (CO and NO_x) and tourism growth and one-way causality running from environmental pollution (CO₂, SO_2, PM_2.5, and PM₁₀) to tourism development in the Southern Mediterranean.     

Small sample evidence on the tourism-led growth hypothesis in Lebanon

This paper investigates the contribution of tourism to economic growth in Lebanon for the time period of 1995–2010. The presence of long-run and causal relationships is investigated applying the bounds testing approach to cointegration and Granger causality tests. Because of the small sample (T?=?16), econometric approaches and critical values used for testing receive special attention. Additionally, a number of diagnostic tests are utilised to ensure that the model is suitable and correct. Interestingly, our results reveal that tourism and economic growth are cointegrated. The Granger causality test indicates that the tourism-led growth hypothesis is valid for Lebanon. Therefore, policy initiatives promoting tourism ought to be further developed and implemented to stimulate economic growth and development for the economy of Lebanon.     

Direct air transport and demand interaction: A vector error-correction model approach

The goal of this paper is to impose a cause–effect structure into the relation between tourism demand and air transport capacity. Specifically, we apply a vector error-correction model to assess if, and to what extent, capacity or passenger demand are first-movers that return to long-run equilibrium following short-run deviations. Using data on international aviation between Australia and our test cases of China and Japan, we find that demand on the Japan–Australia market corrects for short-run deviations from the long-run equilibrium quicker than the China–Australia market. Reasons for such variation in adjustment speeds are discussed and we show that the results are robust to the phenomenon of airlines pre-empting demand when setting capacity.     

The tourism-led growth hypothesis: empirical evidence from Turkey

In the economic growth literature, the contribution of tourism to economic development has attracted great attention due to its significant roles as a source of foreign exchange earnings, creation of employment opportunities and an important source of public revenues in many countries. In this paper, we aim to analyse the empirical relationship between economic growth and tourism by employing different econometric techniques. First, we employed the Bound test approach developed by Pesaran, Shin, and Smith (2001, Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326) in order to investigate the co-integration relationship between economic growth and tourism. Second, we used the Granger causality analysis for the 1998–2011 period and found evidence of a long-run uni-directional causality running from tourism to economic growth, but not vice versa. Our findings show that the Turkish case supports the tourism-led growth hypothesis (TLGH). Third, the autoregressive-distributed lag approach was employed in order to investigate the long-term and short-term static relationship between tourism and economic growth. The results show that tourism has a positive effect on gross domestic product and economic growth both in the long-term and short-term. Finally, the effect of tourism on economic growth was also investigated dynamically by employing the Kalman filter method. The findings of this method support the TLGH for Turkey.     

Does tourism cause growth? Evidence from Turkey

This paper examines the impact of detailed tourism expenditure on the long-run economic growth by employing Autoregressive Distributed Lag (ARDL) approach and causality test for data set of 2003:1 to 2012:4 in Turkey. The detailed tourism expenditure data are firstly employed for the causality of tourism expenditure on economic growth. The results of the bounds test show that there is a stable long-run relationship between accommodation expenses, transport expenditure, expenditure of sporting activities, sightseeing tour expenditure, clothing–footwear expenditure, gift expenditure and economic growth. The results of the causality test, on the other hand, show that there is a bidirectional causality between accommodation expenses, expenditure of sporting activities, gift expenditure and economic growth and a causal flow from transport expenditure to economic growth which is verified growth-led tourism hypothesis. Results reveal that sightseeing tour expenditure and expenditure of sporting activities are more successful on explaining the long-run growth in Turkey in terms of ARDL coefficients size. This result implies a policy that Turkey needs to invest tourism to gain more especially by focusing accommodation, sightseeing tours, sporting activities and transport infrastructure.     

A dynamic demand analysis of the United States air-passenger service

This study examines the short- and long-run effects of various determinants on the demand for US air passenger-services using the Johansen cointegration analysis and a vector error-correction (VEC) model. Results show that, in the long-run, airfare, disposable income and NASDAQ have significant effects on US air travel demand. The combined short-run dynamic effects of disposable income, NASDAQ, population and airfare jointly explain changes in air passenger-miles. Finally, we find that the 9/11 terrorist attacks drop air passenger demand by 5% during 2001:Q3-2002:Q2, which in turn pushes down the seat capacity by 4%. However, it has little impact on airfare.     

The relationship between tourism receipts,real effective exchange rate and economic growth in Tunisia

The objective of this paper is to analyse the role of tourism in the Tunisian economic growth. We used a trivariate model of real gross domestic product (GDP), real international tourism receipts and real effective exchange rate to discuss the relationship between tourism and economic growth. By using annual data for Tunisia for the period of 1970–2007, our results reveal that there is a cointegrating relationship between tourism and economic growth. In addition, our results for the Granger causality test indicate that tourism has a positive impact on GDP growth unidirectionally. Copyright © 2010 John Wiley & Sons, Ltd.     

Investigating the impacts of energy consumption,real GDP,tourism and trade on CO2 emissions by accounting for cross-sectional dependence: A panel study of OECD countries

The objective of this study is to analyse the long-run dynamic relationship of carbon dioxide emissions, real gross domestic product (GDP), the square of real GDP, energy consumption, trade and tourism under an Environmental Kuznets Curve (EKC) model for the Organization for Economic Co-operation and Development (OECD) member countries. Since we find the presence of cross-sectional dependence within the panel time-series data, we apply second-generation unit root tests, cointegration test and causality test which can deal with cross-sectional dependence problems. The cross-sectionally augmented Dickey-Fuller (CADF) and the cross-sectionally augmented Im-Pesaran-Shin (CIPS) unit root tests indicate that the analysed variables become stationary at their first differences. The Lagrange multiplier bootstrap panel cointegration test shows the existence of a long-run relationship between the analysed variables. The dynamic ordinary least squares (DOLS) estimation technique indicates that energy consumption and tourism contribute to the levels of gas emissions, while increases in trade lead to environmental improvements. In addition, the EKC hypothesis cannot be supported as the sign of coefficients on GDP and GDP² is negative and positive, respectively. Moreover, the Dumitrescu–Hurlin causality tests exploit a variety of causal relationship between the analysed variables. The OECD countries are suggested to invest in improving energy efficiency, regulate necessary environmental protection policies for tourism sector in specific and promote trading activities through several types of encouragement act.     

Comparing the contributions of tourism and non-tourism exports to economic growth in Malaysia

An in-depth study using data from 1974 to 2013 is conducted to assess the role of exports in Malaysia's economic growth through the neoclassical growth model. Unlike previous studies, we segregate exports into four major components, namely tourism, electrical and electronic (E&E), palm oil and rubbers. By doing so, we are able to assess the relative contributions of tourism and non-tourism (i.e. E&E, palm oil and rubbers) exports to Malaysia's economic growth. To achieve the objective of this study, we perform the cointegration, Granger causality and the variance decomposition tests. Our findings suggest that only tourism, E&E and palm oil exports significantly influence economic growth in the long-run. Likewise, our Granger causality results also suggest that only tourism, E&E and palm oil exports Granger-cause economic growth. Thus, it supports the tourism-led growth, E&E export-led growth (ELG) and palm oil ELG hypotheses in Malaysia. With reference to the contributions to economic growth, the long-run estimation results and the results of generalized variance decomposition consistently suggest that tourism is relatively more important than the three non-tourism exports, especially in explaining the long-term economic growth of Malaysia.     

Predicting airline passengers’ loyalty using artificial neural network theory

The study explores a model for predicting airline loyalty using the antecedents indicated in previous studies. Data was collected using a questionnaire distributed to 614 domestic air passengers using the snowball sampling method. The measurement tool had 16 scale items constructed on the recommendations of previous studies. Passenger satisfaction, airline service quality, passenger perceived value, and airline image are identified as determinants for airline loyalty. The predictive analytical approach of Artificial Neural Network theory and covariance-based Structural Equation Modelling for determining causality is employed in the study. The artificial neural network model predicts airline loyalty with 89% accuracy. Sensitivity analysis suggests passenger satisfaction as the most significant predictor of airline loyalty. The causal study supports that passenger satisfaction mediates the relationship between airline service quality and airline loyalty.     

铁路货运量与国民经济总量关系的协整研究

铁路货运是现代交通运输体系的重要组成部分,对国民经济增长具有巨大推动作用。根据近20年铁路货运量和国内生产总值数据,应用协整分析方法、误差修正模型和Granger因果检验对二者进行实证分析。研究表明:铁路货运量与国民经济总量存在长期的均衡关系;同时二者之间仅存在着单向因果关系,通过增强铁路货运能力,满足货运市场需求可以拉动国民经济的快速发展,为实现经济可持续发展奠定良好基础。     

The relationship between tourism,foreign direct investment and economic growth: evidence from Iran

Tourism is one of the world's largest industries and an increasingly important source of foreign currency that is used to finance economic growth. The purpose of this study is to examine the long-term and short-term relationships between tourism and economic growth in Iran, by using annual data covering the 1985–2013 period and autoregressive distributed lag and the Error Correction model to examine the relationships between variables. The findings showed that there is a positive relationship between tourism expenditure and economic growth in the long term and short term. The result indicate that there is also positive relationship between the real effective exchange rate (REER), foreign direct investment (FDI) and economic growth. The Granger causality test shows a bidirectional causality running between tourism expenditure and economic growth.