基于GRA-DEA模型的区域旅游业发展效率研究  

Research on the Development Efficiency of Regional Tourism Industry based on the GRA-DEA Model

作　　者：吴旭晓[1] 

机构地区：[1]河南省社会科学院城市发展研究所,郑州450002

出　　处：《商业研究》2013年第12期202-209,共8页Commercial Research

基　　金：河南省重点软科学研究计划项目;项目编号:102400410001

摘　　要：在运用灰色关联分析方法筛选出评价指标体系基础上,本文运用投入导向的数据包络分析方法对我国2011年区域旅游业发展的相对效率进行评价。研究收获主要体现两个方面。一是研究方法:在DEA评价指标的筛选中应用灰色关联分析方法,可使指标筛选的结果更加客观合理。二是研究结论:总体来看,我国旅游业发展效率整体处于中等水平,有待进一步提升;具体分析,规模效率是影响区域旅游业综合效率的主要因素,而技术效率是次要因素;我国旅游业发展效率呈现"椭圆形"聚类态势,东部、中部、西部和东北等4大地区的旅游业平均效率表现为倒"N"型空间分布特征;除了上海、宁夏、湖南、甘肃、北京、浙江和福建等7个地区旅游业发展效率达到了DEA有效外,其余地区均存在不同程度的投入冗余,因此各地区应优化投入要素比例,促使区域旅游业发展方式顺利转型。Based on the evaluation index system which was selected by the application of gray correlation analysis method, the paper uses the data envelopment analysis method of input - orientation to evaluate relative development efficiency of regional tourism industry in 2011. The research harvest has two aspects. The one is research method： application of gray correlation analysis method can make the result of the DEA evaluation index screening be more objective and reasonable. The second is research conclusion： in general, the development efficiency of China＇s tourism as a whole is at a medium level, needing to be further improved; scale efficiency is the main factor that influence the regional tourism in- dustry comprehensive efficiency, technical efficiency is the secondary factor; development efficiency in China tourism industry shows ＂oval＂ clustering trend; the average efficiency of the tourism industry among the eastern, central, western and northeast areas shows the inverted ＂N＂ type of space distribution characteristics; except that the development efficiency of tourism in Shanghai, Ningxia, Hunan, Gansu, Beijing, Zhejiang and Fujian reaches DEA effectively, input redundancy have varying degrees of the rest. Each region should optimize the input ratio to promote regional tourism development mode transformation.

关 键 词：区域旅游业 发展效率 灰色关联分析 数据包络分析 

分 类 号：F590.1[经济管理—旅游管理]