Tourism green growth through technological innovation

The work seeks to assess the effect of technological innovation on the green growth of tourism across five continental regions using the STochastic estimation of Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model. Employing panel Granger causality tests, panel vector autoregression, impulse response functions, and forecast error variance decomposition, the research reveals the bidirectional causal relationship between green growth and technological innovation, emphasizing the importance of technological innovation for tourism. The study utilizes panel data from 126 countries spanning from 2010 to 2021 and employs a range of econometric techniques. These methods allow for a thorough examination of the causal relationships, short and long term impacts, and the relative importance of different variables on tourism related green growth. The findings further highlight the contribution of green growth to developing a sustainable economy and emphasize the significance of sustainable tourism as a significant factor in green growth policies. The study expands the application of STIRPAT to the green growth and tourism relationship and provides practical implications for stakeholders.

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Institutions

Publication Details

Journal
Journal of Sustainable Tourism
Published
2025-03-28
DOI
https://doi.org/10.1080/09669582.2025.2482675
Citations
6
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
18.79

Funders

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article

Tourism green growth through technological innovation

Yooshik Yoon, C. Michael Hall, Myung Ja Kim, Yunkyoung Jo
6 citations
Journal of Sustainable Tourism
Energy, Environment, Economic Growth
18.79
article

Tourism green growth through technological innovation

Yooshik Yoon, C. Michael Hall, Myung Ja Kim, Yunkyoung Jo
article en
6 citations

Abstract

The work seeks to assess the effect of technological innovation on the green growth of tourism across five continental regions using the STochastic estimation of Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model. Employing panel Granger causality tests, panel vector autoregression, impulse response functions, and forecast error variance decomposition, the research reveals the bidirectional causal relationship between green growth and technological innovation, emphasizing the importance of technological innovation for tourism. The study utilizes panel data from 126 countries spanning from 2010 to 2021 and employs a range of econometric techniques. These methods allow for a thorough examination of the causal relationships, short and long term impacts, and the relative importance of different variables on tourism related green growth. The findings further highlight the contribution of green growth to developing a sustainable economy and emphasize the significance of sustainable tourism as a significant factor in green growth policies. The study expands the application of STIRPAT to the green growth and tourism relationship and provides practical implications for stakeholders.

Journal of Sustainable TourismVol. 34(2)
Prince of Songkla University (TH), University of Canterbury (NZ), Lund University (SE), Sejong University (KR), Kyung Hee University (KR), Hanyang University (KR), University of Oulu (FI)
Ministry of Education, National Research Foundation of Korea
Decent work and economic growth
Openalex Percentile: Top 1%
Energy, Environment, Economic Growth
18.79
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