Dynamic efficiency assessment of the Chinese hotel industry

被引:72
|
作者
Huang, Yinghua [1 ]
Mesak, Hani I. [2 ]
Hsu, Maxwell K. [3 ]
Qu, Hailin [4 ]
机构
[1] Xiamen Univ, Dept Tourism & Hospitality Management, Xiamen 361005, Fujian, Peoples R China
[2] Louisiana Tech Univ, Dept Mkt & Anal, Ruston, LA 71272 USA
[3] Univ Wisconsin, Dept Mkt, Whitewater, WI 53190 USA
[4] Oklahoma State Univ, Sch Hotel & Restaurant Adm, Stillwater, OK 74078 USA
关键词
Hotel industry; Data envelopment window analysis; Tobit regression; Market segmentation; Efficiency; China; RESOURCE-BASED THEORY; TECHNICAL EFFICIENCY; PRODUCTIVITY; PERFORMANCE; OPENNESS; MODELS;
D O I
10.1016/j.jbusres.2011.07.015
中图分类号
F [经济];
学科分类号
02 ;
摘要
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. (C) 2011 Elsevier Inc. All rights reserved.
引用
收藏
页码:59 / 67
页数:9
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