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City commercial banks (CCBs) have continued to grow in support of small- and medium-size enterprises (SMEs), thus improving the misallocation of capital and helping to accelerate China's tremendous economic growth. This study uses bootstrapped data envelopment analysis (DEA) to statistically test the property of returns to scale by taking into account undesirable outputs in order to employ the appropriate model for statistically inferencing the characteristics of these CCBs. Employing a dataset from Bankfocus that covers 101 CCBs for the period 2015–2017, the returns to scale test supports technology as exhibiting variable returns to scale. The partitioning around medoids (PAM) algorithm, based on bootstrapped DEA scores, clusters China's CCBs into three groups: Cluster 1 contains half of the superior foreign-owned banks and half of those competitive local CCBs being located in the coast region, while Cluster 2 and Cluster 3 consist primarily of domestic CCBs associated with similar characteristics in locations and owner-types, where the former outperforms the latter. Other findings show that (1) biased upward efficiencies may provide incorrect information and misguide managerial and/or policy implications, and that (2) ignoring the effort by CCBs at absorbing deposits leads to significantly different results.
Yang Li. Analyzing efficiencies of city commercial banks in China: An application of the bootstrapped DEA approach. Pacific-Basin Finance Journal 2020, 62, 101372 .
AMA StyleYang Li. Analyzing efficiencies of city commercial banks in China: An application of the bootstrapped DEA approach. Pacific-Basin Finance Journal. 2020; 62 ():101372.
Chicago/Turabian StyleYang Li. 2020. "Analyzing efficiencies of city commercial banks in China: An application of the bootstrapped DEA approach." Pacific-Basin Finance Journal 62, no. : 101372.
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.
Xiaoying Guo; Wei Wei; Yang Li; Lei-Ya Wang. A Study of Different Types of Air Pollutants on the Efficiency of China’s Hotel Industry. International Journal of Environmental Research and Public Health 2019, 16, 4319 .
AMA StyleXiaoying Guo, Wei Wei, Yang Li, Lei-Ya Wang. A Study of Different Types of Air Pollutants on the Efficiency of China’s Hotel Industry. International Journal of Environmental Research and Public Health. 2019; 16 (22):4319.
Chicago/Turabian StyleXiaoying Guo; Wei Wei; Yang Li; Lei-Ya Wang. 2019. "A Study of Different Types of Air Pollutants on the Efficiency of China’s Hotel Industry." International Journal of Environmental Research and Public Health 16, no. 22: 4319.
This study employs the directional distance function in the meta-frontier model by expanding outputs, contracting inputs, and fastening quasi-fixed inputs simultaneously on a dataset of 170 observations obtained from the annual reports of international tourist hotels. Empirical results show that the meta-efficiency and technology gap (TG) of foreign-owned hotels are better than those of domestic hotels. In addition, employees of foreign-owned hotels are more productive than those of domestic hotels. The findings imply that Taiwan’s tourist hotels should structure a plan to augment their operating scales.
Yi-Lung Lee; Shew-Huei Kuo; Mei-Yi Jiang; Yang Li. Evaluating the Performances of Taiwan’s International Tourist Hotels: Applying the Directional Distance Function and Meta-Frontier Approach. Sustainability 2019, 11, 5773 .
AMA StyleYi-Lung Lee, Shew-Huei Kuo, Mei-Yi Jiang, Yang Li. Evaluating the Performances of Taiwan’s International Tourist Hotels: Applying the Directional Distance Function and Meta-Frontier Approach. Sustainability. 2019; 11 (20):5773.
Chicago/Turabian StyleYi-Lung Lee; Shew-Huei Kuo; Mei-Yi Jiang; Yang Li. 2019. "Evaluating the Performances of Taiwan’s International Tourist Hotels: Applying the Directional Distance Function and Meta-Frontier Approach." Sustainability 11, no. 20: 5773.