A Study of Different Types of Air Pollutants on the Efficiency of China’s Hotel Industry

Xiaoying Guo, Wei Wei, Yang Li and Lei-Ya Wang
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Xiaoying Guo: Department of International Economics and Trade, School of Economics, Tianjin University of Commerce, Tianjin 300134, China
Wei Wei: Department of Economics, School of Economics, Tianjin University of Commerce, Tianjin 300134, China
Yang Li: Department of International Economics and Trade, School of Economics, Tianjin University of Commerce, Tianjin 300134, China
Lei-Ya Wang: Institute of Business and Management, National University of Kaohsiung, Kaohsiung 811, Taiwan

IJERPH, 2019, vol. 16, issue 22, 1-13

Abstract: This study focuses on visible and invisible air pollutants and their impacts on China’s hotel industry. Overall, visible air pollutants may block the sights and sceneries and worsen the quality of visitors’ sensory experiences, and invisible air pollutants are unlikely to result in the same perceptions and sensations. Hence, different types of air pollutants may have various impacts on the hotel industry’s operational performance. We employed a bootstrapped truncated regression model to investigate whether different types of air pollutants had distinctive impacts on the hotel industry. The dataset consisted of 31 provinces of China for the period 2012–2015. Empirical results indicate that visible air pollutants significantly decrease the operational efficiency of China’s hotel industry, while invisible air pollutants insignificantly affect the hotel industry.

Keywords: Data envelopment analysis (DEA); visible air pollutant; invisible air pollutant; China’s hotel industry; bootstrapped truncated regression (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
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