Impact of Covid-19 pandemic on tourism in Indonesia
Bibliographic Data
| ID | 21698501 |
|---|---|
| Authors | Setia Pramana (0000-0002-8590-1451, Computational Statistics Department, Politeknik, Statistika STIS, Jakarta, Indonesia, corresponding author), Dede Yoga Paramartha (Directorate of Analysis and Statistical Development, BPS Statistics Indonesia, Jakarta, Indonesia), Geri Yesa Ermawan (Computational Statistics Department, Politeknik, Statistika STIS, Jakarta, Indonesia), Nensi Fitria Deli (Directorate of Analysis and Statistical Development, BPS Statistics Indonesia, Jakarta, Indonesia), Wiwin Srimulyani (Computational Statistics Department, Politeknik, Statistika STIS, Jakarta, Indonesia) |
| Year | 2022 |
| Volume | 25 |
| Issue | 15 |
| Pages | 2422-2442 |
| Publication date | 2022-08-03 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Current Issues in Tourism (JOURNAL) |
| Journal identifiers | ISSN: 1368-3500 • E-ISSN: 1747-7603 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/13683500.2021.1968803 |
| OpenAlex | W3197600547 |
| Language | EN |
| Citations received | 14 |
| References cited | 17 |
This study aims to investigate the different impacts of the COVID-19 pandemic on Indonesia’s tourism industry, as this and its supporting sectors are the most affected by the COVID-19 pandemic worldwide, by clustering the provinces based on the room occupancy rate (ROR) to understand provinces specific impacts. Several big data sources are employed to study the different impacts of the pandemic on two tourists’ most popular provinces, i.e. Bali and Yogyakarta. A number of tourism indicators such as number of international arrivals, ROR from the BPS statistics Indonesia, combined with data from Google mobility index, Google trend, flight tracker and reviews from Tripadvisor and Booking.com are presented. Provinces are clustered by ROR category using the dynamic time warping method. The COVID-19 pandemic has obviously impacted the tourism industry and its supporting sectors in across Indonesia. However, this study explains the different patterns of the impact in different provinces. Furthermore, this study proves that big data sources are shown to be a good proxy to infer the impact of the pandemic on tourism
Business · Economic impact analysis · Economics · Geography · Occupancy · Pandemic · Socioeconomics · Statistics · Tourism · COVID-19 Pandemic Impacts · Digital Marketing and Social Media · Diverse Aspects of Tourism Research
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| Citations per year | 3.5 |
|---|---|
| Citation span | 2022 - 2026 (5) |
| Highly cited | No |