Tourism as a nontradable sector affects regional price indexes. However, the effect of tourism on urban housing prices has not been sufficiently studied. This study uses panel data for prefecture-level cities in China to empirically examine the effect of tourism development on urban housing prices. The findings indicate that tourism development can increase urban housing prices, and the effect mainly comes from domestic tourism. This conclusion is not only derived from the instrumental variable method considering endogenous problems but also verified by multiple robust methods including quantile regression. Meanwhile, the study innovatively identifies the mediating role of investment effect, income effect, and public service effect in the impact of tourism on urban housing prices. It further shows the heterogeneity of cities, with more significant effect of tourism on urban housing price in small- and medium-sized cities, noncentral cities, central and western cities, and nontourist cities. This study reveals the commonality and particularity of the impact of tourism development on urban housing price. It not only enriches the research on tourism economics from the perspectives of the relationship between tourism and real estate but also further enriches the relevant conclusions and theoretical mechanism of the impact of tourism on housing prices.
{"title":"Tourism development and urban housing prices: Evidence from China","authors":"Changyao Song, Yijun Liu, Xinjian Li, Jiayi Zhang, Qier Lyv","doi":"10.1177/13548166231186906","DOIUrl":"https://doi.org/10.1177/13548166231186906","url":null,"abstract":"Tourism as a nontradable sector affects regional price indexes. However, the effect of tourism on urban housing prices has not been sufficiently studied. This study uses panel data for prefecture-level cities in China to empirically examine the effect of tourism development on urban housing prices. The findings indicate that tourism development can increase urban housing prices, and the effect mainly comes from domestic tourism. This conclusion is not only derived from the instrumental variable method considering endogenous problems but also verified by multiple robust methods including quantile regression. Meanwhile, the study innovatively identifies the mediating role of investment effect, income effect, and public service effect in the impact of tourism on urban housing prices. It further shows the heterogeneity of cities, with more significant effect of tourism on urban housing price in small- and medium-sized cities, noncentral cities, central and western cities, and nontourist cities. This study reveals the commonality and particularity of the impact of tourism development on urban housing price. It not only enriches the research on tourism economics from the perspectives of the relationship between tourism and real estate but also further enriches the relevant conclusions and theoretical mechanism of the impact of tourism on housing prices.","PeriodicalId":23204,"journal":{"name":"Tourism Economics","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47121554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-01DOI: 10.1177/13548166231185897
B. Tovar, David Boto‐García, J. F. Baños Pino
This study evaluates whether college students change their beliefs about the social, economic, and environmental effects of tourism activities after receiving educational training. In particular, our goal is to examine if economic instruction affects their views about the impacts of cruise tourism development. We conduct an experiment with students majoring in tourism enrolled in a compulsory course on tourism and transport at the University of Las Palmas de Gran Canaria (Spain). We administer a survey before and after the course in three academic years that involve the pre-pandemic and pandemic periods. We find that students become more concerned about the negative impacts of cruise tourism, with significant shifts in their agreement with the environmental externalities and price surges associated with cruise tourism. Furthermore, they become more supportive of the setting of a tourism tax per passenger, but agree less with the idea that governments should economically incentivise the arrival of more ships.
{"title":"Meeting externalities: The effects of educational training on support for tourism activities","authors":"B. Tovar, David Boto‐García, J. F. Baños Pino","doi":"10.1177/13548166231185897","DOIUrl":"https://doi.org/10.1177/13548166231185897","url":null,"abstract":"This study evaluates whether college students change their beliefs about the social, economic, and environmental effects of tourism activities after receiving educational training. In particular, our goal is to examine if economic instruction affects their views about the impacts of cruise tourism development. We conduct an experiment with students majoring in tourism enrolled in a compulsory course on tourism and transport at the University of Las Palmas de Gran Canaria (Spain). We administer a survey before and after the course in three academic years that involve the pre-pandemic and pandemic periods. We find that students become more concerned about the negative impacts of cruise tourism, with significant shifts in their agreement with the environmental externalities and price surges associated with cruise tourism. Furthermore, they become more supportive of the setting of a tourism tax per passenger, but agree less with the idea that governments should economically incentivise the arrival of more ships.","PeriodicalId":23204,"journal":{"name":"Tourism Economics","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46742809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-28DOI: 10.1177/13548166231185984
João-Pedro Ferreira, Christa D. Court, E. Basurto-Cedeno, L. Pennington-Gray
Chikungunya virus (CHIKV), a mosquito-borne illness, is increasing in prevalence worldwide, and experts have warned of the imminence of an outbreak in the Southern Gulf Region of the United States (U.S.). Tourist destinations such as Miami and Orlando in Florida are among the most likely places for an outbreak to occur. The decline in attractiveness of a destination due to the outbreak, combined with the restrictive measures implemented to combat the outbreak, have the potential to significantly impact tourism-dependent local economies. This study is unique in that it estimates the potential economic impacts on tourism of an unprecedented outbreak, in this case CHIKV events in the U.S. For this, declines in tourism that followed the 2016 Zika virus outbreak in the Wynwood area of Miami, Florida are assessed to provide insights on the potential size and scope of the shock on tourism resulting from a CHIKV event. Results suggest that a CHIKV outbreak can lead to losses of approximately US$ 30 million in sales and nearly 250 jobs in the Wynwood area alone. Other popular tourist destinations such as Orlando could suffer significant losses of more than 2,500 jobs and US$ 300 million in sales. Estimating the potential losses associated with tourism declines resulting from a CHIKV outbreak provides data and insights to decision-makers that are considering policy measures aimed at preventing, preparing for, or mitigating the impacts of such events. This is particularly relevant as new advances are being made in the development of a CHIKV vaccine.
{"title":"Using the 2016 Zika outbreak to estimate the potential tourism impacts of a Chikungunya event in Florida","authors":"João-Pedro Ferreira, Christa D. Court, E. Basurto-Cedeno, L. Pennington-Gray","doi":"10.1177/13548166231185984","DOIUrl":"https://doi.org/10.1177/13548166231185984","url":null,"abstract":"Chikungunya virus (CHIKV), a mosquito-borne illness, is increasing in prevalence worldwide, and experts have warned of the imminence of an outbreak in the Southern Gulf Region of the United States (U.S.). Tourist destinations such as Miami and Orlando in Florida are among the most likely places for an outbreak to occur. The decline in attractiveness of a destination due to the outbreak, combined with the restrictive measures implemented to combat the outbreak, have the potential to significantly impact tourism-dependent local economies. This study is unique in that it estimates the potential economic impacts on tourism of an unprecedented outbreak, in this case CHIKV events in the U.S. For this, declines in tourism that followed the 2016 Zika virus outbreak in the Wynwood area of Miami, Florida are assessed to provide insights on the potential size and scope of the shock on tourism resulting from a CHIKV event. Results suggest that a CHIKV outbreak can lead to losses of approximately US$ 30 million in sales and nearly 250 jobs in the Wynwood area alone. Other popular tourist destinations such as Orlando could suffer significant losses of more than 2,500 jobs and US$ 300 million in sales. Estimating the potential losses associated with tourism declines resulting from a CHIKV outbreak provides data and insights to decision-makers that are considering policy measures aimed at preventing, preparing for, or mitigating the impacts of such events. This is particularly relevant as new advances are being made in the development of a CHIKV vaccine.","PeriodicalId":23204,"journal":{"name":"Tourism Economics","volume":"1 1","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41764680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-26DOI: 10.1177/13548166231185422
M. Álvarez‐Díaz, J. Chamorro-Rivas, M. González-Gómez, M. S. Otero-Giráldez
This study empirically compares domestic tourists’ behavior before and after the Covid-19 outbreak. Specifically, official data are used to characterize the travel behavior of residents in Spain who traveled through this country for reasons of leisure, recreation, and vacations in 2019 and 2020. A discrete choice model is employed to unravel the main variables that influence the decision of being an inter-regional traveler. The bootstrap p-value method is used to detect significant changes in the marginal effect of the different variables after the Covid-19 outbreak. The estimation results demonstrate the following: (i) domestic inter- and intra-regional travelers have significant differences and, therefore, policy-makers should not design and implement “one size fits all” policies for domestic tourism; (ii) in addition to socio-economic factors, the regional push-pull factors (e.g., weather) and trip-related characteristics (e.g., type of accommodation) are also important in explaining inter-regional travel decisions; (iii) a high number of Covid-19 infections in the region of origin increases the probability of traveling inter-regionally; and (iv) the Covid-19 outbreak has caused an abrupt shift in domestic travelers’ profiles.
{"title":"The impact of the COVID-19 outbreak on intra- and inter-regional domestic travel: Evidence from Spain","authors":"M. Álvarez‐Díaz, J. Chamorro-Rivas, M. González-Gómez, M. S. Otero-Giráldez","doi":"10.1177/13548166231185422","DOIUrl":"https://doi.org/10.1177/13548166231185422","url":null,"abstract":"This study empirically compares domestic tourists’ behavior before and after the Covid-19 outbreak. Specifically, official data are used to characterize the travel behavior of residents in Spain who traveled through this country for reasons of leisure, recreation, and vacations in 2019 and 2020. A discrete choice model is employed to unravel the main variables that influence the decision of being an inter-regional traveler. The bootstrap p-value method is used to detect significant changes in the marginal effect of the different variables after the Covid-19 outbreak. The estimation results demonstrate the following: (i) domestic inter- and intra-regional travelers have significant differences and, therefore, policy-makers should not design and implement “one size fits all” policies for domestic tourism; (ii) in addition to socio-economic factors, the regional push-pull factors (e.g., weather) and trip-related characteristics (e.g., type of accommodation) are also important in explaining inter-regional travel decisions; (iii) a high number of Covid-19 infections in the region of origin increases the probability of traveling inter-regionally; and (iv) the Covid-19 outbreak has caused an abrupt shift in domestic travelers’ profiles.","PeriodicalId":23204,"journal":{"name":"Tourism Economics","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43026758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-24DOI: 10.1177/13548166231185899
Esther Vayá, J. R. García, Jordi Suriñach, Ernest Pons
This study addresses the impact of the COVID-19 pandemic on the Spanish tourism sector and economy in general, at the national and regional levels, through a comparative analysis between the evolution observed in the sector and the evolution that could have happened had the pandemic not occurred. This study was conducted in two stages. First, the total tourist expenditures for 2020 and 2021 were predicted under the assumption that the pandemic had not occurred. In the second stage, the losses in terms of turnover, jobs and the contribution of the tourism sector to the gross domestic product (GDP) that would have occurred without the pandemic were estimated. We applied the input–output method and found that for every €1000 less of tourist spending due to the pandemic, €1883 less were contributed to the GDP, and for every €100,000 less in spending, 2.8 jobs were lost.
{"title":"Effects of the COVID-19 tourism crisis on the Spanish economy","authors":"Esther Vayá, J. R. García, Jordi Suriñach, Ernest Pons","doi":"10.1177/13548166231185899","DOIUrl":"https://doi.org/10.1177/13548166231185899","url":null,"abstract":"This study addresses the impact of the COVID-19 pandemic on the Spanish tourism sector and economy in general, at the national and regional levels, through a comparative analysis between the evolution observed in the sector and the evolution that could have happened had the pandemic not occurred. This study was conducted in two stages. First, the total tourist expenditures for 2020 and 2021 were predicted under the assumption that the pandemic had not occurred. In the second stage, the losses in terms of turnover, jobs and the contribution of the tourism sector to the gross domestic product (GDP) that would have occurred without the pandemic were estimated. We applied the input–output method and found that for every €1000 less of tourist spending due to the pandemic, €1883 less were contributed to the GDP, and for every €100,000 less in spending, 2.8 jobs were lost.","PeriodicalId":23204,"journal":{"name":"Tourism Economics","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46449412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-23DOI: 10.1177/13548166231181261
Neslihan Kahyalar, N. Seetaram, Sami Fethi
This paper is one of the first which provides an in-depth quantitative analysis of how the development of the tourism industry impacts on the size of the shadow economy of a specific destination. The paper employs time-series techniques and annual data from 1960 to 2018 from Turkey. First, the size of the shadow economy is estimated using the electricity consumption method. The estimates are then used to assess the effect of tourism development on the size of the shadow economy. The findings show that there is a negative relationship between the two. A 1% increase in international tourism arrivals leads to a 0.21% and 0.316% fall in the size of the shadow economy in the short-run and long-run respectively. It implies that as the tourism sector develops, it becomes instrumental in modernising the Turkish economy leading to the movement of resources from the shadow economy to the formal sector. In the long-run the effect of the tourism industry in reducing the size of the shadow economy surpasses that of the financial sector of Turkey.
{"title":"Tourism and the shadow economy: Long-run and short-run implications for resource allocation","authors":"Neslihan Kahyalar, N. Seetaram, Sami Fethi","doi":"10.1177/13548166231181261","DOIUrl":"https://doi.org/10.1177/13548166231181261","url":null,"abstract":"This paper is one of the first which provides an in-depth quantitative analysis of how the development of the tourism industry impacts on the size of the shadow economy of a specific destination. The paper employs time-series techniques and annual data from 1960 to 2018 from Turkey. First, the size of the shadow economy is estimated using the electricity consumption method. The estimates are then used to assess the effect of tourism development on the size of the shadow economy. The findings show that there is a negative relationship between the two. A 1% increase in international tourism arrivals leads to a 0.21% and 0.316% fall in the size of the shadow economy in the short-run and long-run respectively. It implies that as the tourism sector develops, it becomes instrumental in modernising the Turkish economy leading to the movement of resources from the shadow economy to the formal sector. In the long-run the effect of the tourism industry in reducing the size of the shadow economy surpasses that of the financial sector of Turkey.","PeriodicalId":23204,"journal":{"name":"Tourism Economics","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47086907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-21DOI: 10.1177/13548166231184792
Jun Zhang
This study underscores the significance of the nexus between tourism and housing price. Using panel data from 35 major cities in China, it employed the panel smooth transition regression approach to explore the interplay between tourism development and housing prices. Our findings showed a nonlinear tourism–housing price nexus. Specifically, tourism development can raise housing prices in a nonlinear way, indicating that this positive impact varies at different levels of tourism specialisation. Housing prices had an inverted U-shaped effect on tourism development. Several explanations for these empirical results are provided in the Discussion section, along with policy suggestions.
{"title":"Tourism development and housing price: An interplay","authors":"Jun Zhang","doi":"10.1177/13548166231184792","DOIUrl":"https://doi.org/10.1177/13548166231184792","url":null,"abstract":"This study underscores the significance of the nexus between tourism and housing price. Using panel data from 35 major cities in China, it employed the panel smooth transition regression approach to explore the interplay between tourism development and housing prices. Our findings showed a nonlinear tourism–housing price nexus. Specifically, tourism development can raise housing prices in a nonlinear way, indicating that this positive impact varies at different levels of tourism specialisation. Housing prices had an inverted U-shaped effect on tourism development. Several explanations for these empirical results are provided in the Discussion section, along with policy suggestions.","PeriodicalId":23204,"journal":{"name":"Tourism Economics","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47345642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-19DOI: 10.1177/13548166231184796
J. Chi
This paper aims to investigate the dynamic effects of tourism, economic growth, urbanization, trade openness, and globalization on income inequality in OECD countries. Using the novel method of moments quantile regression (MMQR) approach, we aim to provide new perspectives on the Kuznets curve hypothesis regarding the relationship between tourism and income inequality. The results indicate that from the 0.1 to 0.8 quantiles, the linear and cubic terms of the tourism variable positively affect income inequality, while the quadratic term has a negative impact on income inequality. These findings suggest that tourism growth is relinked with income inequality after an inverted U-shape, supporting the N-shape Kuznets curve hypothesis. Based on this evidence, tourism development may not be a sustainable solution for reducing the income gap in the long term. Our results also show a negative association between trade openness and income inequality, while urbanization is linked to unequal income distribution in most cases. Unlike other conditional mean techniques, the MMQR estimation reveals a significant linkage between globalization and income inequality from the 0.4 to 0.9 quantiles. These findings suggest that countries with stronger connections to the global economy may have more equal employment opportunities, thus decreasing income inequality.
{"title":"Tourism development and income inequality in OECD countries: New insights from method of moments quantile regression","authors":"J. Chi","doi":"10.1177/13548166231184796","DOIUrl":"https://doi.org/10.1177/13548166231184796","url":null,"abstract":"This paper aims to investigate the dynamic effects of tourism, economic growth, urbanization, trade openness, and globalization on income inequality in OECD countries. Using the novel method of moments quantile regression (MMQR) approach, we aim to provide new perspectives on the Kuznets curve hypothesis regarding the relationship between tourism and income inequality. The results indicate that from the 0.1 to 0.8 quantiles, the linear and cubic terms of the tourism variable positively affect income inequality, while the quadratic term has a negative impact on income inequality. These findings suggest that tourism growth is relinked with income inequality after an inverted U-shape, supporting the N-shape Kuznets curve hypothesis. Based on this evidence, tourism development may not be a sustainable solution for reducing the income gap in the long term. Our results also show a negative association between trade openness and income inequality, while urbanization is linked to unequal income distribution in most cases. Unlike other conditional mean techniques, the MMQR estimation reveals a significant linkage between globalization and income inequality from the 0.4 to 0.9 quantiles. These findings suggest that countries with stronger connections to the global economy may have more equal employment opportunities, thus decreasing income inequality.","PeriodicalId":23204,"journal":{"name":"Tourism Economics","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45937347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-18DOI: 10.1177/13548166231184300
Haiyan Wang, T. Hu, Huihui Wu
Existing studies on tourism seasonality have been mainly identified at annual or monthly level and the seasonality in tourism demand forecasting has always been addressed by modeling season patterns. However, annual or monthly seasonality is coarse-grained and can’t capture the subtle changes emerging both in tourism theory and practice. This study recognizes tourism seasonality based on intra-day patterns and inter-day similarity and suggests a novel approach to addressing seasonality in tourism demand forecasting. The proposed three-step method contains tourism seasonality recognition, tourism seasonality matching, and tourism demand forecasting. The empirical findings, based on two attractions in China, demonstrate that the proposed method based on dynamic time warping and density-peak clustering can precisely capture tourism seasonality at the daily level. The method can also detect special tourism periods or subtle changes in seasonality, such as staggered peak travel phenomenon. Superior forecasting performance with seasonality matching is also revealed. This study sheds new light on tourism seasonality recognition and contributes to forecasting methodology.
{"title":"Tourism demand with subtle seasonality: Recognition and forecasting","authors":"Haiyan Wang, T. Hu, Huihui Wu","doi":"10.1177/13548166231184300","DOIUrl":"https://doi.org/10.1177/13548166231184300","url":null,"abstract":"Existing studies on tourism seasonality have been mainly identified at annual or monthly level and the seasonality in tourism demand forecasting has always been addressed by modeling season patterns. However, annual or monthly seasonality is coarse-grained and can’t capture the subtle changes emerging both in tourism theory and practice. This study recognizes tourism seasonality based on intra-day patterns and inter-day similarity and suggests a novel approach to addressing seasonality in tourism demand forecasting. The proposed three-step method contains tourism seasonality recognition, tourism seasonality matching, and tourism demand forecasting. The empirical findings, based on two attractions in China, demonstrate that the proposed method based on dynamic time warping and density-peak clustering can precisely capture tourism seasonality at the daily level. The method can also detect special tourism periods or subtle changes in seasonality, such as staggered peak travel phenomenon. Superior forecasting performance with seasonality matching is also revealed. This study sheds new light on tourism seasonality recognition and contributes to forecasting methodology.","PeriodicalId":23204,"journal":{"name":"Tourism Economics","volume":"29 1","pages":"1865 - 1889"},"PeriodicalIF":4.4,"publicationDate":"2023-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45553825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-13DOI: 10.1177/13548166231178355
Rockie U Kei Kuok, Tay T. R. Koo, C. Lim
This research aims to quantify the effect of air transport capacity on tourism demand by examining their long-term (cointegrating) relationship, accounting for cross-sectional dependence and endogeneity. Panel time series data from 2008Q1 to 2019Q4 for international tourist arrivals from 16 main origins to six Australian states are investigated. The study finds 1% increase in Available-Seat-Kilometers, seat capacity, or flight frequency can result in 0.4%–0.7% increase in tourist arrivals to Australia, adding to the body of evidence that shows a non-negligible aviation-led generative effect on tourism demand. The study finds ignoring cross-sectional dependence can result in significantly different, and potentially incorrect, coefficient estimates. Although using pre-COVID data, the results are useful in highlighting the likely aviation supply—tourism demand relations under reasonably well-performing market conditions. For greater tourism demand, findings call for more liberal international air services agreements, and direct/indirect air route development subsidies with minimum commitment of several years.
{"title":"Air transport capacity and tourism demand: A panel cointegration approach with cross-sectionally augmented autoregressive distributed lag (CS-ARDL) model","authors":"Rockie U Kei Kuok, Tay T. R. Koo, C. Lim","doi":"10.1177/13548166231178355","DOIUrl":"https://doi.org/10.1177/13548166231178355","url":null,"abstract":"This research aims to quantify the effect of air transport capacity on tourism demand by examining their long-term (cointegrating) relationship, accounting for cross-sectional dependence and endogeneity. Panel time series data from 2008Q1 to 2019Q4 for international tourist arrivals from 16 main origins to six Australian states are investigated. The study finds 1% increase in Available-Seat-Kilometers, seat capacity, or flight frequency can result in 0.4%–0.7% increase in tourist arrivals to Australia, adding to the body of evidence that shows a non-negligible aviation-led generative effect on tourism demand. The study finds ignoring cross-sectional dependence can result in significantly different, and potentially incorrect, coefficient estimates. Although using pre-COVID data, the results are useful in highlighting the likely aviation supply—tourism demand relations under reasonably well-performing market conditions. For greater tourism demand, findings call for more liberal international air services agreements, and direct/indirect air route development subsidies with minimum commitment of several years.","PeriodicalId":23204,"journal":{"name":"Tourism Economics","volume":" ","pages":""},"PeriodicalIF":4.4,"publicationDate":"2023-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43541431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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