Air pollution and tourism demand: A case study of Beijing, China

2019 ◽  
Vol 21 (6) ◽  
pp. 747-757 ◽  
Author(s):  
Xiaoge Zhou ◽  
Yolanda Santana Jiménez ◽  
Jorge V. Pérez Rodríguez ◽  
Juan María Hernández
Keyword(s):  
Air Pollution ◽  
Tourism Demand ◽  
Beijing China

Understanding individual-level protective responses to air pollution warning: A case study of Beijing, China

2018 ◽  
Vol 25 (6) ◽  
pp. 1473-1487 ◽  
Author(s):  
Fangping Wang ◽  
Hanping Zhao ◽  
Xiaoxue Zhang ◽  
Chence Niu ◽  
Jianfang Ma
Keyword(s):  
Air Pollution ◽  
Individual Level ◽  
Beijing China

Application of LIDAR Technique and MM5-CMAQ Modeling Approach for the Assessment of Winter PM10 Air Pollution: A Case Study in Beijing, China

2007 ◽  
Vol 181 (1-4) ◽  
pp. 409-427 ◽  
Author(s):  
D. S. Chen ◽  
S. Y. Cheng ◽  
J. B. Li ◽  
T. Chen ◽  
X. Y. Zhao ◽  
...  
Keyword(s):  
Air Pollution ◽  
Modeling Approach ◽  
Beijing China

IMPACT OF THE SOUTH-TO-NORTH WATER DIVERSION PROJECT ON GROUNDWATER RESOURCES: A CASE STUDY IN PINGGU BASIN, BEIJING, CHINA

2013 ◽  
Vol 12 (11) ◽  
pp. 2239-2247 ◽  
Author(s):  
Guomin Li ◽  
Haizhen Xu ◽  
Ming Li ◽  
Shouquan Zhang ◽  
Yanhui Dong ◽  
...  
Keyword(s):  
Groundwater Resources ◽  
Water Diversion ◽  
The South ◽  
Water Diversion Project ◽  
North Water ◽  
Beijing China

scholarly journals Influence of Tourism Seasonality and Financial Ratios on Hotels’ Exit Risk

2021 ◽  
pp. 109634802110160
Author(s):  
Dengjun Zhang ◽  
Jinghua Xie
Keyword(s):  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Hotel Industry ◽  
Financial Ratios ◽  
Market Segment ◽  
Tourism Demand ◽  
Hazards Model ◽  
Two Measures ◽  
The Impact

Tourism seasonality negatively affects hotels’ operational and financial performance and then survival probabilities. Several studies have evaluated the impact of tourism seasonality on hotels’ exit risk. However, the empirical findings are ambiguous, probably due to the overall seasonality and different measures used in these studies. Against this background, this study explores the impact of tourism seasonality on hotel firms’ exit risk, using a proportional hazards model. We controlled for financial ratios, the main factors influencing the exit risk, and used two measures of tourism seasonality by market segment, namely, leisure, business, and conference tourism. The case study is the Norwegian hotel industry. The empirical results suggest that the different seasonal patterns of tourism demand in the market segments mitigate the impact of the overall seasonality on hotels’ exit risk, and that seasonality measures of various tourism segments affect the exit risk in different ways.

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