摘要
运用DEA-Malmquist指数模型测算2009~2015年淮海经济区旅游业全要素生产率,探讨生产率的空间结构演化特征,并综合旅游效率与全要素生产率的二者特征,划分旅游效率的状态类别与演进模式,并简要分析其成因及改善途径。结果发现:时间特征上,淮海经济区城市旅游全要素生产率总体呈波动变化特征,表现为"降-升"循环模式,分解效率的降低在一定程度上阻碍了全要素生产率的提高,其中,全要素生产率受技术进步变化的影响较大;空间特征上,热点区呈现"北-南"的迁移方向及"放-缩"的范围变化,冷点区表现为"东南-北-南"的演化特征,次热点区为"西南-东"的迁移特征,而次冷点区的迁移方向具有很强的跳跃性,涉及的城市较多。结合旅游全要素生产率与旅游综合效率将淮海经济区的效率形态分为低降型、低升型、高升型、高降型四种,并根据效率形态的演化特征划分凹槽性、循环型、波动型和平稳型四种效率演变模式。
Using Data Envelopment Analysis-Malmquist productivity index approach,the tourism total factor productivity( TTFP) from 2009 to 2015 years of Huaihai economic zone is measured and the spatio-temporal structure is investigated. Then,coordination efficiency categories and evolutional models are divided combined with the development characteristics of tourism efficiency and TTFP. The results show that:(1)On time characteristics,TTFP has variation characteristics,and presents "rise-decline"cycle mode,to some extent,the growth of TTFP is hindered due to the reduction of the decomposition efficiency,in which greater impact on TTFP is influenced by technological change;(2)On spatial characteristics,hotspots present"North-South"in the direction of migration and"release-shrink"scope changes,while coldspots present "Southeast-North-South"evolutionary characteristics. The secondary hotspots have "West-East"migration characteristics,while the migration direction of coldspots has strong jump involving more cities;(3) Four tourism efficiency categories and four efficiency evolutional models are divided by combining the development characteristics of tourism efficiency and TTFP. Finally,the causes are analyzed and some improvement approaches are put forward.
出处
《旅游研究》
2018年第2期50-61,共12页
Tourism Research
基金
江苏省"青蓝工程"中青年学术带头人项目资助
关键词
旅游
全要素生产率
效率评价
淮海经济区
tourism
total factor productivity
efficiency evaluation
Huaihai economic zone
