Tourism,Real Effective Exchange Rate and Economic Growth: Empirical Evidence for Croatia

The aim of this paper is to examine the long‐run and short‐run relationship between tourism, real effective exchange rate and economic growth in Croatia. The econometric framework used for analysis is the Johansen Maximum Likelihood cointegration technique. For testing the stability of long‐run equilibrium relationship vector error correction model technique has been applied on a quarterly data set covering the period 1996–2013. The main findings of the paper confirm the stability of the long‐run equilibrium relationship between tourist arrivals (ARRIVAL), openness of the economy (OPEN) and real effective exchange rate as independent variable and gross domestic product (GDP) as dependent variable in Croatia. Furthermore, the results indicate short‐run causality between OPEN and GDP, as well as between real effective exchange rate and GDP. Copyright © 2014 John Wiley & Sons, Ltd.     

Estimating multimodal public transport mode shares in Athens,Greece

We analyze market shares for each public transport mode in total public transport ridership for the multimodal public transportation system of Athens, Greece. This analysis provides useful information for making investment decisions concerning the public transport infrastructure and for allocating subsidies. Due to the non-stationary properties of the data, cointegration techniques are applied to investigate the long run equilibrium relationships. Error Correction Models are implemented to estimate short run dynamics as well as the speed of adjustment from the short to the long run. Results suggest that fare and GDP are the main determinants of the public transport mode shares both in the short and in the long run. Findings also indicate the role of total ridership fluctuations in explaining variations in public transport mode shares.     

Estimating the impact of COVID-19 on air travel in the medium and long term using neural network and Monte Carlo simulation

The COVID-19 pandemic has had a substantial impact on the airline industry. Air travel in the United States declined in 2020 with significantly lower domestic and international flights. The dynamic change and uncertainty in the trend of COVID-19 have made it difficult to predict future air travel. This paper aims at developing and testing neural network models that predict domestic and international air travel in the medium and long term based on residents' daily trips by distance, economic condition, COVID-19 severity, and travel restrictions. Data in the United States from various sources were used to train and validate the neural network models, and Monte Carlo simulations were constructed to predict air travel under uncertainty of the pandemic and economic growth. The results show that weekly economic index (WEI) is the most important predictor for air travel. Additionally, daily trips by distance play a more important role in the prediction of domestic air travel than the international one, while travel restrictions seem to have an impact on both. Sensitivity analysis results for four different scenarios indicate that air travel in the future is more sensitive to the change in WEI than the changes in COVID-19 variables. Additionally, even in the best-case scenario, when the pandemic is over and the economy is back to normal, it still takes several years for air travel to return to normal, as before the pandemic. The findings have significant contributions to the literature in COVID-19's impact on air transportation and air travel prediction.     

基于小波变换和小波包分析平轮信号

轮对的扁疤在列车行驶过程中,对轮轨产生间歇性的脉冲激扰源。当车轮滚至扁疤处时,产生的附加冲击力比正常时大几倍甚至十几倍。运用小波变换及小波包对平轮信号进行分析,可以找出能量与各频段之间的精确对应关系,运用小波包分解系数求能量公式,可求出任意频段信号的能量。     

Temporal Granger Causality and the Dynamics Relationship Between Real Tourism Receipts,Real Income and Real Exchange Rates in Malaysia

This study applies the bounds testing approach, error‐correction modelling and persistence profile to analyse the dynamic relationship between real tourism receipts, real income and real exchange rates in Malaysia. The present study covers the annual sample period from 1974 to 2009. The results reveal that a long‐run relationship exists between the variables. In the short run, this study finds no Granger causality between real tourism receipts and real income, whereas there is bidirectional causality in the long‐run. Moreover, we also find unidirectional causality running from real exchange rates to real tourism receipts and real income in both short‐ and long‐run. Copyright © 2012 John Wiley & Sons, Ltd.     

Tourism,health and income in Singapore

This paper employs Granger causality test to investigate the long‐run and the short‐run dynamic interactions among tourism, economic development and health care development in Singapore. The test reveals that there is long‐run unidirectional Granger causality from health care development to economic development and from tourism to economic development. Both health care and tourism have positive effects on economic development in the long run. In the short run, there is a unidirectional Granger causality from economic development to health care development and a bidirectional causality between health care development and tourism. Copyright © 2009 John Wiley & Sons, Ltd.     

A dynamic panel analysis of urban metro demand

A dynamic panel model is used to estimate the effect that fares, income and quality of service have on demand for a sample of 22 urban metros. The estimated price elasticity is −0.05 in the short run and −0.33 in the long run. The estimated long run income elasticity is small but positive (0.18), indicating that metros are perceived as normal goods. The quality of service elasticities are positive and substantially higher than the absolute value of fare elasticities. The implication is that quality of service improvements, rather than fare reductions, may be more effective in increasing metro patronage.     

我国铁路货运需求结构的VAR模型分析

在建立铁路货运量、国民经济、铁路网扩展的协整VAR模型基础上,分析三者之间的长期均衡关系和短期动态关系。结果表明,在长期中,铁路货运量随国民经济增长呈缓慢增长趋势,而随铁路网扩展呈较快增长趋势。在短期中,国民经济是铁路货运量的重要影响因素;铁路货运量和铁路网扩展对国民经济影响不大;铁路货运量是铁路网扩展的重要影响因素,而国民经济变化对其影响不大。     

Carriers’ pricing behaviors in the United States airline industry

This paper examines the pricing behaviors of United States air carriers in domestic markets. With quarterly observations in 2000 and 2005, we use a heteroskedasticity-adjusted Instrumental Variable technique to investigate the carriers’ pricing strategies. The results show differential pricing strategies practiced by United States air carriers. American, United, Continental, and Northwest Airlines have higher airfares than Delta and Southwest Airlines in 2005. In 2000, all the carriers, except Delta have the same relationships with airfares. Furthermore, the findings suggest that the carriers’ pricing strategies can vary under the same market condition, indicating that carriers’ managerial decisions may influence their airfares.     

Environmental and financial sustainability of air transport: Are they incompatible?

Many would consider that the current reliance on air transport is environmentally unsustainable, especially given its impacts on climate change and its use of non-renewable resources. In addition, financial sustainability is often seen as inconsistent with environmental sustainability. The conclusions here are otherwise. Air transport does contribute to greenhouse gas emissions, but the climate change problem is a general one, and while addressing it has a cost, this cost is minimised when air transport is required to bear the environmental costs that it imposes. The reliance on non-renewable resources does give rise to a sustainability problem. There is not likely to be a problem of lack of financial sustainability of the industry, though addressing environmental objective will lead to a reduction in performance in the short run. Both environmental and financial sustainability of air transport can be achieved, as long as efficient policies are adopted.     

A wavelet analysis for exploring the relationship between economic policy uncertainty and tourist footfalls in the USA

We attempt to establish the relationship between Economic Policy Uncertainty (EPU) and international tourist footfalls in the USA. In the first stage, we investigate the influence of country-specific EPU and global EPU on tourist footfalls. Since, these two are overlapping in nature, in the second stage, we study the isolated influence of country-specific EPU on footfalls by eliminating the influence of global EPU and vice versa. We consider a study period spanning over January 1997 to April 2017. To capture the variations in the relationship at different time dimensions, we apply wavelet-based techniques. We observe the following: (a) the impact of policy uncertainty shock has a little immediate impact on tourist footfalls, (b) medium to long-run shocks persist due to occurrence of major undesirable economic events, and (c) the influence of domestic (country-specific) EPU is dominant in comparison to global EPU for the USA.     

Travel-to-work and subjective well-being: A study of UK dual career households

This article contributes to our understanding of the interaction between travel-to-work, time-use, and subjective well-being among full-time men and women in dual career households. Findings from empirical investigation of the British Household Panel Survey (1993–2009) identify comparable overall time-use (combined commutes, working hours/overtime, housework, and (ill/elderly) care) between genders, however the distributions are distinct. Women report shorter commutes and working hours/overtime, but lengthy housework. Among men lengthier commutes generate dissatisfaction, while the presence of dependent children reduces satisfaction with leisure indicative of the impact of chauffeuring. Women’s relationship with travel-to-work appears more complex. Women remain car dependent. Meanwhile, both short and long commutes generate dissatisfaction. Findings indicate short commutes among mothers which reduce satisfaction with leisure time, reflecting multi-activity journeys including the school run. The evidence is indicative of inequality in the household division of labour limiting women’s temporal and spatial flexibility and reducing satisfaction with leisure time.     

The cell phone effect on pedestrian fatalities

This paper examines the impact of cell phone usage on pedestrian fatalities in the United States using econometric models and specification error tests. The model makes use of a polynomial specification so as to allow for potential life-saving and life-taking effects of cell phones. The results indicate that when cell phones were first introduced they had an adverse effect on pedestrian safety, but after a critical number of cell phones was reached, the life-saving effect dominated over the life-taking effect. However, as the number of phones continued to increase, the life-taking effect once again dominated over the life-saving effects.     

International tourism and economic development in South Africa: a Granger causality test

One of the major objectives of macroeconomic policies in many developing countries is sustained economic growth, and South Africa has been striving to achieve and maintain this in various ways. One of these is through international tourism. Although international tourism contributes to the growth of many economies, it is in turn, impacted by growth in many developed countries. Real gross domestic product (GDP), international tourism earnings, real effective exchange rate and exports were analysed within a multivariate vector auto regressive model using annual data covering 1980–2005. The main focus of this study therefore was to demonstrate the direction of causality between international tourism earnings and long‐run economic growth of South Africa, among other variables, using Granger causality analysis. The result obtained showed a unidirectional causality running from international tourism earnings to real GDP, both in the short run and in the long run. The error correction mechanism carried out also supported this causality. Copyright © 2009 John Wiley & Sons, Ltd.     

Analysis of CO2 emissions for island ferry services

In this study CO₂ emissions are calculated for ferries operating on both short and long range sea routes between mainland Scotland and the Orkney Isles. CO₂ emissions for land transport options connecting with the respective ferry services are also analysed. In particular the study offers a comparison of transport CO₂ emissions for long-range ferry services between Aberdeen and the Orkney Islands and short-range ferry services across the Pentland Firth. The latter involve a longer road journey for vehicles than the former. The results indicate significantly greater CO₂ emissions for long-range ferry services, despite shorter road connections. Existing public policy in this regard specifies and subsidises higher CO₂ emission ferry services operating on longer sea routes, to the disadvantage of non-subsidised short crossing services, the latter offering much lower CO₂ emission impacts (inclusive of connecting land transport CO₂ emissions). This suggests that policymakers need to focus on assessing CO₂ emission impacts when considering future tenders for subsidised ferry services. Findings also suggest that, for modest sized ferries serving islands, the optimal solution may be to use/specify the shortest possible sea routes in order to reduce CO₂ emissions from transport.     

Tourism demand response by residents of Latin American countries

A general‐to‐specific methodology was used to build international tourism demand models by residents from Argentina, Brazil, Colombia and Venezuela to Aruba. We seek to evaluate demand parameters, especially elasticity values, which were disaggregated on a country‐to‐country basis. We also aim to learn more about the structure and important variables and investigate the process of adjustment. The study has provided new and compelling evidence that, in the short run, residents in developing countries respond rationally and substantially to economic stimulus. The short‐run income elasticity ranges from the low of 1.52 for Venezuela to the high of 2.34 for Argentina. These results indicate that Aruba will benefit differently from income increases in these four Latin American countries. The coefficients of the price variable had the expected negative signs, inelastic in the short‐run for all countries but significant at the 5% level for Venezuela only. Any deliberate effort to expand tourist arrivals will require a much larger decline in prices than would be the case in the presence of short‐run elastic response. The adjustment elasticity, being less than one, suggests that a period of more than one year is required for Latin American residents to fully adjust their tourism decisions in response to demand shocks. This study would seem to provide some useful information about international tourism demand from developing to developing countries that could form a very good and solid basis for analyses and policy action. Copyright © 2008 John Wiley & Sons, Ltd.     

SARIMA damp trend grey forecasting model for airline industry

The aim of this paper is to propose a new model that improves the Damp Trend Grey Model (DTGM) with a dynamic seasonal damping factor to forecast routes passengers demand (pax) in the air transportation industry. The model is called the SARIMA Damp Trend Grey Forecasting Model (SDTGM). In the DTGM, the damp trend factor is a static smoothing factor because it does not change over time, and therefore, it cannot capture the dynamic behavior of time series data. For this reason, the modification consists in using the trend and seasonality effects of time series data to calculate a dynamic damp trend factor as time grows. The DTGM damping factor is based on the forecasted data obtained by the GM(1,1) model; otherwise, the SDTGM calculates a seasonal damping factor based on historical data using a large amount of data points for short lead-times. The SDTGM has less uncertainty than the DTGM. The simulation results show that the SDTGM captures the seasonality effect and does not allow the forecast to exponentially grow. The SDTGM forecasts more reasonable routes pax for short lead-times when having a large amount of data points than the DTGM. The United States domestic air transport market data are used to compare the performance of the DTGM against the proposed SDTGM.     

Modeling green vehicle adoption: An integrated approach for policy evaluation

This article employs an integrated discrete-continuous car ownership model to jointly forecast households’ future preferences on vehicle type, quantity and use, and to estimate greenhouse gas (GHG) emissions. The model system is estimated on a dataset collected from a web-based stated preference survey conducted in Maryland in 2014. The data contain vehicle purchase decisions and sociodemographic information of 456 households who were requested to state their future preferences over a 9-year period (2014–2022). In each time period, a respondent is faced to four alternatives that include the current vehicle, a new gasoline vehicle, a new hybrid electric vehicle, and a new battery electric vehicle. Intertemporal choices between conventional and “green” vehicles such as hybrid and electric cars capture dynamics in vehicle purchase decisions. Short run and medium-long run situations were predicted and compared based on the first 4-year data and the entire 9-year data of the dynamic panel. Vehicle GHG emissions were calculated correspondingly. We find the introduction of “green” vehicles makes a positive impact on car ownership and use, especially in a medium-long run. Two “green” taxation policies, gasoline tax and ownership tax, were proposed and their impact on vehicle use and emission reductions was evaluated. Results indicate that: (a) gasoline tax is a more effective way to reduce vehicle miles traveled and GHG emissions and (b) gasoline tax makes a higher impact on car use and emission reductions in the medium-long run, while ownership tax makes a higher impact in the short run.     

Liberalization and changing spatial configurations in Nigeria’s domestic air transport network

In realization of the increasingly important role played by air transport, the Nigerian government followed the global trend of deregulation in reforming its domestic airline industry in 1985. Some of the effects of deregulation have been consistent with observed trends in other countries but others have been quite different. The abandonment of less profitable routes in the short term as well as the unfolding core-periphery structures following the emergence and dominance of certain core control centers replicates what obtained in the United States. However, evidence from literature suggesting that liberalization in practice has often resulted in the rising concentration of connectivity in a limited number of nodes and links rather than in its dispersal over the network at large does not hold yet in Nigeria’s domestic air network. This paper shows that the shifting balance between concentration and dispersal in Nigeria’s domestic network is generally skewed towards dispersal. Passenger traffic is more dispersed among nodes as gleaned from diminishing standard deviation values with increasing number of nodes. Generally speaking, overall connectivity also tends towards more evenness in the network since deregulation.     

Stochastic optimization of sustainable hybrid generation bioethanol supply chains

This paper focuses on designing a hybrid generation bioethanol supply chain (HGBSC) that will account for economic, environmental and social aspects of sustainability under various uncertainties. A stochastic mixed integer linear programming model is proposed to design an optimal HGBSC. A case study set in the state of North Dakota in the United States is used as an application of the proposed model. The results suggest that the designs of optimal HGBSC change when different sustainability standards are applied. In addition, sensitivity analysis is conducted to provide deeper understanding of the proposed model.