Conceptualizing Post-COVID-19 Malaysia’s Tourism Recovery: An Auto-Regressive Neural Network Analysis
نویسندگان
چکیده
The pandemic caused by the SARS-CoV-2 virus (COVID-19) has significantly affected tourism industry. Tourist destinations have adopted emergency measures and restrictions that mobility of individuals around world. This study aims to analyze effects COVID-19 on industry in Malaysia its overall economic performance. research used an extensive set statistical tests, including a newly constructed Auto-Regressive Neural Network-ADF (ARNN-ADF) test, determine if foreign visitor arrivals from 10 main source markets will revert normal. Secondary data various government published sources were this conceptual methodology technique for study. Based results exploratory literature, we listed synthesizing manner several ensure resilience sector during period. makes significant contribution literature terms validating new framework emphasizes tourists are largely transitory. In conclusion, further help authorities take precautions best policy be implemented future. Doi: 10.28991/esj-2021-SPER-10 Full Text: PDF
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ژورنال
عنوان ژورنال: Emerging science journal
سال: 2021
ISSN: ['2610-9182']
DOI: https://doi.org/10.28991/esj-2021-sper-10