中国星级酒店业TFP时空特征与影响因素研究  

Temporal-Spatial Characteristics and Influencing Factors of TFP in Chinese Star Hotels

作　　者：张广海[1] 高俊[1,2] ZHANG Guanghai;GAO Jun(Management College of Ocean UniversitY of China,Qingdao 266100,China;College of Business of Shanghai UniversitY of Finance and Economy,Shanghai 200433,China)

机构地区：[1]中国海洋大学管理学院,山东青岛266100 [2]上海财经大学商学院,上海200433

出　　处：《旅游学刊》2018年第12期66-75,共10页Tourism Tribune

基　　金：国家社会科学基金青年项目"中国沿海地区旅游产业结构与旅游产业集聚关联机理研究"(12CGL059);中国博士后科学基金项目"中国沿海地区旅游消费增长的动力机制与溢出效应研究"(2015M580612)资助~~

摘　　要：构建DEA-Malmquist模型,利用2001-2015年我国星级酒店数据(1),系统地分析我国星级酒店全要素生产率(total factor productivity, TFP)状况及其时空特征;构建动态面板模型,利用系统广义距估计法(SYS-GMM)分析了TFP影响因素及其作用机理。得出如下结论:整体看,我国星级酒店在研究期内TFP虽有时序波动,但总体上处于上升趋势,TFP的增长主要依靠技术进步推动,粗放式发展特征明显;从省域尺度看,大部分省域星级酒店历年TFP亦为正增长,我国不同省域星级酒店TFP指数呈现了空间分布不均衡的特征;通过对酒店自身因素和环境条件分析,信息化、产业集聚、旅游业发展、对外开放、城市化和人力资本对TFP均为正向推动作用,资本投入和房地产市场发展则为负向作用,但其作用机理并不一致,其中,城市化和信息化的正向作用最为突出,而资本投入则负向作用明显。The star-hotel industry is an important part of China’s residential reception industry, which has served as an important industrial base within the Chinese tourism industry. This has led to the continued investment boom in the star-hotel industry, driven by the interests of the parties that have brought about this rapid development. However, the development scale and speed cannot keep pace with quality and efficiency, which constrains sustainable development of China’s star hotels. Systematic study of the efficiency of star hotels is greatly needed to improve the industry’s extensive development.Against this backdrop, this article systematically constructs a DEA-Malmquist model to explore the total factor productivity(TFP) and spatial and temporal characteristics of these hotels, taking data on hotels in30 provinces in China's Mainland from 2001 to 2015. A measurement model of dynamic panel data is constructed and a SYS-GMM method is used for further analyzing the influential factors and their mechanisms. The results show that the TFP of China’s star hotels generally increased during the period examined, and at a relatively low growth rate. The growth was mainly driven by technical progress rather the technical efficiency. The growth of technical efficiency is unremarkable, which makes it difficult for the technical progress to boost TFP growth. Taken from the standpoint of provinces, the TFP of star hotels in most provinces also showed positive growth over the examined period. The TFP indices of star-rated hotels in different provinces showed characteristics of uneven spatial distribution. There are different reasons behind the differences among provinces. Through analysis of the hotels’ own factors and environmental conditions, it is found that informatization, industrial agglomeration, tourism development, the nation’s Open Door policy, urbanization, and human capital have positive effects on TFP; while capital investment and real estate market development have negative effects. However, the mechan

关 键 词：中国星级酒店 全要素生产率 DEA-Malmquist模型 系统广义矩估计法 

分 类 号：F59[经济管理—旅游管理]