Jingen Zhou
Datos Biográficos
| ID | 9601537 |
|---|---|
| NOMBRE | Jingen Zhou |
| NOMBRES | Jingen |
| APELLIDO | Zhou |
| FIRMA | ZHOU J |
| AFILIACIONES | University of Tasmania |
| ORCID | 0000-0001-9091-5535 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2023 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 0 |
Revisiting Demand Forecasting for Educational Tourism
This study explores how demanders' attention to study in Australia improves its temporary student visa arrivals (TSV) predictions. Using a monthly data set over the period July 2004–March 2023, the following main findings are produced: First, a vector autoregressive (VAR) model is employed to examine interactions between TSV and demanders' educational attention (EA) to study in Australia. Second, the EA index Granger causes the growth rate of TSV…
The impacts of Covid-19 on the cruise industry based on an empirical study in China
The coronavirus disease 2019 (COVID-19) pandemic has had an unprecedented impact on the entire cruise industry. This research aims to provide an understanding of the impacts of COVID-19 on the cruise industry from various stakeholders and recommend corresponding post-COVID recovery strategies for building a sustainable cruise industry. By conducting 22 semi-structured interviews in Shanghai, China and analysing the interview data using content an…
Sin obras prominentes en esta página.
The impacts of Covid-19 on the cruise industry based on an empirical study in China
The coronavirus disease 2019 (COVID-19) pandemic has had an unprecedented impact on the entire cruise industry. This research aims to provide an understanding of the impacts of COVID-19 on the cruise industry from various stakeholders and recommend corresponding post-COVID recovery strategies for building a sustainable cruise industry. By conducting 22 semi-structured interviews in Shanghai, China and analysing the interview data using content an…
Revisiting Demand Forecasting for Educational Tourism
This study explores how demanders' attention to study in Australia improves its temporary student visa arrivals (TSV) predictions. Using a monthly data set over the period July 2004–March 2023, the following main findings are produced: First, a vector autoregressive (VAR) model is employed to examine interactions between TSV and demanders' educational attention (EA) to study in Australia. Second, the EA index Granger causes the growth rate of TSV…
Diverse Aspects of Tourism Research (2 obras) · Tourism (2 obras) · 2019-20 coronavirus outbreak (1 obra) · Autoregressive model (1 obra) · Business (1 obra) · China (1 obra) · Cruise (1 obra) · Cruise Tourism Development and Management (1 obra) · Demand forecasting (1 obra) · Digital Marketing and Social Media (1 obra)