浙江省高星级酒店效率测度——基于非参数DEA-Malmquist指数的实证分析  

Efficiency Measurement of Zhejiang's High-star Hotel——An Empirical Analysis Based on DEA-Malmquist Index

作　　者：吴向明[1,2] 赵磊[1,2] 

机构地区：[1]浙江工业大学经贸管理学院,浙江杭州310023 [2]浙江工业大学城镇化与城乡休闲研究中心,浙江杭州310023

出　　处：《旅游论坛》2013年第6期79-87,共9页Tourism Forum

基　　金：浙江省科技厅软科学项目(2012C35071)

摘　　要：采用非参数DEA-Malmquist生产率指数法测算了2002-2011年浙江省高星级酒店全要素生产率,并将其分解为技术进步与技术效率。研究结果表明:技术进步是推动浙江省高星级酒店全要素生产率增长的主要源泉,而技术效率基本处于负增长状态;浙江省高星级酒店全要素生产率增长表现出显著的波动性,并存在市级差异;收敛检验结果表明,在整体样本时期内,浙江省高星级酒店全要素生产率存在绝对贝塔收敛。此外,文章又采用DEA-BCC模型,测算了2011年浙江省高星级酒店综合技术效率,并进行了投入产出改进分析。Based on the non-parameter DEA-Malmquist index, this paper analyzes total factor productivity of Zhe）iang＇ s high-star hotels from 2002 to 2011, which is decomposed into efficiency change and technical change. Results show that： Technical change is the main resource of total factor productivity growth of Zhejiang＇s high-star hotels~ and technical efficiency is in the negative growth condition： Total factor productivity growth of Zhejiang＇s high-star hotels shows significantly volatility, and provincial differences; Convergence test results show that, in the overall sample period, total factor productivity growth of Zhejiang＇s high- star hotels shows the absolute beta convergence. In addition, based on DEA-BCC model, this paper measures technical efficiency in 2011, and carries out input-output improvement analysis.

关 键 词：高星级酒店 全要素生产率 收敛 综合技术效率 

分 类 号：F719[经济管理—产业经济] F224