Developing a Web-based regional tourism satellite account (TSA) information system

Wu, Doris Chenguang; Liu, Jingyan; Song, Haiyan; Liu, Anyu; Fu, Hui

doi:10.1177/1354816618792446

Cited by 27 publications

(23 citation statements)

References 53 publications

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“…Among the analysed papers 43 empirical papers were singled out of which 25 used topdown approach to collect the data with secondary sources of data in which the most used and important are methods: (1) Tourism Satellite Account (TSA), e.g. [29]; (2) Input-output model (IO), e.g. [30]; (3) Life cycle assessment (LCA), e.g.…”

Section: Resultsmentioning

confidence: 99%

Applying Carbon Footprint Method Possibilities to the Sustainable Development of Sports Tourism

Grofelnik

Perić

Wise

2020

WIT Transactions on Ecology and the Environment

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Tourism generates diverse and complex economic, socio-cultural and environmental impacts on space. Tourism organizers and service providers tend to emphasize the positive effects, and often underestimate or neglect negative environmental impacts. The environmental impact of tourism is clearly visible in the transportation of tourists from their homes to their destinations and back, thus generating significant carbon dioxide (CO2) emissions that directly participate in global warming. In order to determine the intensity of the impact of transport (for tourism purposes) on the environment, or more specifically on CO2 emissions, the Carbon Footprint method (CF) is increasingly applied in modern scientific research. The possibilities of CF research in the form of case studies can be monitored in an increasing number and in various fields of research, confirming the value of the method. This review paper analyses the development and application of the CF method in the sustainable development of tourism and specifically sports tourism. By reviewing and analysing the relevant CF literature represented in the WoSCC database, this paper presents the basics of the scientific methodology of CF and its development and application from the aspect of sustainable development, with particular emphasis on the application of CF in measuring the environmental impact of tourism. The research points out the potential contribution of future CF research and complement methods in the overall picture of environmental burden. This should give an agenda and impetus for future research of sustainable development within the topic of the environmental burden generated by tourism.

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Section: Resultsmentioning

confidence: 99%

Applying Carbon Footprint Method Possibilities to the Sustainable Development of Sports Tourism

Grofelnik

Perić

Wise

2020

WIT Transactions on Ecology and the Environment

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“…These two variables are chosen for scenario settings for three reasons. First, tourism growth and economic growth are both important indicators for decision making by market practitioners, and a large body of empirical research has verified that these two variables are highly correlated (e.g., Brida et al, 2016; Liu & Wu, 2019; Nunkoo et al, 2019; Wu et al, 2019). Therefore, compared with the examination of two variables independently and separately, scenario settings based on these two variables can capture their interaction effects and provide industry practitioners with more comprehensive information on the tourism market.…”

Section: Literature Reviewmentioning

confidence: 99%

Scenario Forecasting for Global Tourism

Wu¹,

Cao

Wen

et al. 2020

Journal of Hospitality & Tourism Research

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This study provides innovative forecasts of the probabilities of certain scenarios of tourism demand. The scenarios of interest are constructed in relation to tourism growth and economic growth. The probability forecasts based on these scenarios provide valuable information for destination policy makers. The time-varying parameter panel vector autoregressive (TVP-PVAR) model is adopted for scenario forecasting. Both the accuracy rate and the Brier score are used to evaluate the forecasting performance. A global set of 25 tourism destinations is empirically examined, and the results confirm that the TVP-PVAR model with a time-varying error covariance matrix is generally a promising tool for forecasting. Our study contributes to tourism forecasting literature in advocating the use of scenario forecasting to facilitate industry decision making in situations wherein forecasts are defined by two or more dimensions simultaneously. In addition, it is the first study to introduce the TVP-PVAR model to tourism demand forecasting.

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“…Furthermore, current advancements in developing regional TSAs could be incorporated in this framework. Tourism Satellite Accounts provide more detailed insights into tourism's economic contributions in different sectors of the regional economy (Wu et al 2019). Additionally, the occupation-based analysis was highly dependent on SSYK codes lacking certain categories of tourism work, such as seasonal employment (Thulemark 2017).…”

Section: Concluding Discussion and Research Outlookmentioning

confidence: 99%

The socio-economic impact of regional tourism: an occupation-based modelling perspective from Sweden

Kronenberg

Fuchs

2021

Journal of Sustainable Tourism

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Traditional measurements of tourism's economic impact refer to primary and secondary effects that are typically quantified through input-output (IO) methodology. From a sustainable regional development perspective, however, economic impact analyses are criticised for their one-dimensional analysis focussing mainly on growth-oriented effects represented by aggregates for output, employment, income or tax. Although existing literature comprises various extensions of IO models, the focus of these models is restricted to indicators at a high aggregate level. Thus, distributional or other socio-economically important aspects related to the tourism workforce are seldom discussed. In our approach to study tourism's impacts over a nine-year period, we consider macro-and meso-level perspectives and disaggregate tourism's impact on regional employment and income for particular occupational areas in the Swedish region of J€ amtland. Results indicate weakening employment effects; relatively low but increasing income-inequalities; and increasing shares of elementary positions with precarious working conditions despite para-industrial initiatives from tourism institutions to develop the industry. By enhancing traditional tourism economic impact methodology, we hope that our approach is supportive in putting the tourism workforce at the heart of the regional development and tourism sustainability discourse.

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Developing a Web-based regional tourism satellite account (TSA) information system

Cited by 27 publications

References 53 publications

Applying Carbon Footprint Method Possibilities to the Sustainable Development of Sports Tourism

Applying Carbon Footprint Method Possibilities to the Sustainable Development of Sports Tourism

Scenario Forecasting for Global Tourism

The socio-economic impact of regional tourism: an occupation-based modelling perspective from Sweden

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