The Role of Sustainable Competitiveness Indicator in Malaysian Tourism and Economic Growth

Abstract This paper proposes a sustainable competitiveness indicator for the state of tourism vulnerability in the Malaysian tourism market. Further investigation has also been done on the time-frequency and lead-lag relationship of the indicator with tourism development and economic growth. The resultant indicator is consisted of 12 variables, identified based on the pillars of sustainability and competitiveness to extract a common vulnerability component using a dynamic approximate factor model. The model’s accuracy rate was at a promising 92% based on the variable importance assessment using random forest algorithms. Through the implementation of bivariate wavelet coherence analysis, the empirical results indicated that the constructed indicator has a positive leading role in Malaysian tourism development and economic growth. This indicator can be embedded within an early warning system to signify vulnerabilities in the Malaysian tourism market.

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Publication Details

Journal
Studies in Business and Economics
Published
2024-12-01
DOI
https://doi.org/10.2478/sbe-2024-0053
Citations
1
Primary Topic
Diverse Aspects of Tourism Research
Type
article
Field-Weighted Citation Impact
1.13
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article

The Role of Sustainable Competitiveness Indicator in Malaysian Tourism and Economic Growth

Chin‐Hong Puah, Ann-Ni Soh, Meng-Chang Jong, Ali Alredaisy Samir Mohammad
1 citations
Studies in Business and Economics
Diverse Aspects of Tourism Research
1.13
article

The Role of Sustainable Competitiveness Indicator in Malaysian Tourism and Economic Growth

Chin‐Hong Puah, Ann-Ni Soh, Meng-Chang Jong, Ali Alredaisy Samir Mohammad
article en
1 citations

Abstract

Abstract This paper proposes a sustainable competitiveness indicator for the state of tourism vulnerability in the Malaysian tourism market. Further investigation has also been done on the time-frequency and lead-lag relationship of the indicator with tourism development and economic growth. The resultant indicator is consisted of 12 variables, identified based on the pillars of sustainability and competitiveness to extract a common vulnerability component using a dynamic approximate factor model. The model’s accuracy rate was at a promising 92% based on the variable importance assessment using random forest algorithms. Through the implementation of bivariate wavelet coherence analysis, the empirical results indicated that the constructed indicator has a positive leading role in Malaysian tourism development and economic growth. This indicator can be embedded within an early warning system to signify vulnerabilities in the Malaysian tourism market.

Studies in Business and EconomicsVol. 19(3)
Universiti Malaysia Sarawak (MY)
Openalex Percentile: Top 14%
Diverse Aspects of Tourism Research
1.13
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