Cargando…
Dynamic efficiency assessment of the Chinese hotel industry()
The paper introduces for the first time a totally dynamic two-stage approach to analyzing the hotel industry's technical efficiency at the sub-national level. The first stage uses data envelopment window analysis (DEWA) to assess regional hotel sectors' technical efficiency over time. Unli...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7112616/ https://www.ncbi.nlm.nih.gov/pubmed/32287525 http://dx.doi.org/10.1016/j.jbusres.2011.07.015 |
_version_ | 1783513507899113472 |
---|---|
author | Huang, Yinghua Mesak, Hani I. Hsu, Maxwell K. Qu, Hailin |
author_facet | Huang, Yinghua Mesak, Hani I. Hsu, Maxwell K. Qu, Hailin |
author_sort | Huang, Yinghua |
collection | PubMed |
description | The paper introduces for the first time a totally dynamic two-stage approach to analyzing the hotel industry's technical efficiency at the sub-national level. The first stage uses data envelopment window analysis (DEWA) to assess regional hotel sectors' technical efficiency over time. Unlike previous studies, the second stage uses a dynamic Tobit model to investigate the impact of macro contextual factors on the hotel sector efficiency. The study chooses the Chinese hotel industry during the period 2001–2006 as its application setting. The findings of the investigation indicate that the Chinese hotel industry is approaching an efficient operation in general, recovering from a major dip in 2003 resulting from the Severe Acute Respiratory Syndrome (SARS) outbreak. In addition, the study introduces a novel two-dimensional efficiency-based matrix to assess the competitive advantage of different regions of the Chinese hotel sector. The paper presents strategic market implications for hoteliers, government decision-makers, and destination management organizations. The proposed methods are applicable for situations in which an exogenous event of a destabilizing impact (e.g., SARS) does occur. |
format | Online Article Text |
id | pubmed-7112616 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71126162020-04-02 Dynamic efficiency assessment of the Chinese hotel industry() Huang, Yinghua Mesak, Hani I. Hsu, Maxwell K. Qu, Hailin J Bus Res Article The paper introduces for the first time a totally dynamic two-stage approach to analyzing the hotel industry's technical efficiency at the sub-national level. The first stage uses data envelopment window analysis (DEWA) to assess regional hotel sectors' technical efficiency over time. Unlike previous studies, the second stage uses a dynamic Tobit model to investigate the impact of macro contextual factors on the hotel sector efficiency. The study chooses the Chinese hotel industry during the period 2001–2006 as its application setting. The findings of the investigation indicate that the Chinese hotel industry is approaching an efficient operation in general, recovering from a major dip in 2003 resulting from the Severe Acute Respiratory Syndrome (SARS) outbreak. In addition, the study introduces a novel two-dimensional efficiency-based matrix to assess the competitive advantage of different regions of the Chinese hotel sector. The paper presents strategic market implications for hoteliers, government decision-makers, and destination management organizations. The proposed methods are applicable for situations in which an exogenous event of a destabilizing impact (e.g., SARS) does occur. Elsevier Inc. 2012-01 2011-08-12 /pmc/articles/PMC7112616/ /pubmed/32287525 http://dx.doi.org/10.1016/j.jbusres.2011.07.015 Text en Copyright © 2011 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Huang, Yinghua Mesak, Hani I. Hsu, Maxwell K. Qu, Hailin Dynamic efficiency assessment of the Chinese hotel industry() |
title | Dynamic efficiency assessment of the Chinese hotel industry() |
title_full | Dynamic efficiency assessment of the Chinese hotel industry() |
title_fullStr | Dynamic efficiency assessment of the Chinese hotel industry() |
title_full_unstemmed | Dynamic efficiency assessment of the Chinese hotel industry() |
title_short | Dynamic efficiency assessment of the Chinese hotel industry() |
title_sort | dynamic efficiency assessment of the chinese hotel industry() |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7112616/ https://www.ncbi.nlm.nih.gov/pubmed/32287525 http://dx.doi.org/10.1016/j.jbusres.2011.07.015 |
work_keys_str_mv | AT huangyinghua dynamicefficiencyassessmentofthechinesehotelindustry AT mesakhanii dynamicefficiencyassessmentofthechinesehotelindustry AT hsumaxwellk dynamicefficiencyassessmentofthechinesehotelindustry AT quhailin dynamicefficiencyassessmentofthechinesehotelindustry |