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河南省旅游产业效率测度分解与时空演变 被引量:22

The Efficiency Measurement and Decomposition and Space-time Evolution of Tourism Industry in Henan
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摘要 新时代背景下,为解决旅游产业不平衡、不充分发展的问题,实现旅游经济转型升级、提质增效,提高旅游产业效率就显得迫切重要。研究以河南省为案例区,采用DEA、ESDA模型,探寻欠发达地域旅游效率空间演化特征与规律。研究发现:首先,河南省旅游效率近年来呈现出不断上升的特征,但从分解后效率看,综合效率提升主要依赖于规模效率扩大,而非技术效率。其次,地市旅游效率时空变化显著,高值区数量递增,逐渐向沿黄河及太行山地带集中;低值区数量减少,散落在豫中部和东部。再次,河南省城市旅游效率空间集聚格局由随机分散向集聚布局转变,呈现出从西北向东南倾斜的梯度差异。在此基础上讨论了不同地理空间提高区域旅游效率的对策及建议,以期为提升河南省旅游产业效率提供理论参考和为学术界深化相关研究提供典型借鉴。 In the new era,it is of urgent importance to improve the efficiency of tourism industry to tackle its unbalanced and insufficient development,to implement the tourism economic transformation and to promote both its quality and efficiency. This paper selects Henan province as case study area and employs DEA and ESDA models to explore the characteristics and pattern of spatial evolution in underdeveloped areas. The results show that firstly,the tourism industry efficiency of Henan demonstrates a rising characteristic in recent years,but when analyzed from the perspective of decomposed efficiency,the promotion of total efficiency manly relies on the expansion of scale efficiency rather than technical efficiency. Secondly,the space-time evolution is significant in tourism efficiency of different regions. High-value areas increase progressively in number and are gradually grouped in the belt area along the Yellow River and the Tai-hang Mountain while low-value areas decrease and are distributed sporadically in central and eastern Henan. Finally,the spatial pattern of tourism efficiency of Henan province shows a transformation from random and dispersed distribution to geographic concentration as well as a gradient disparity from northwest to southeast. Based on this,the paper discusses the countermeasures and suggestions on how to improve regional tourism efficiency of different geographic regions so as to achieve the symbiotic development of regional tourism through classified guidance and macro-control.
作者 王少华 WANG Shao-hua(Central Plains Economic Region Intelligent Tourism Collaborative Innovation Center,Luoyang 471022,China)
出处 《经济经纬》 CSSCI 北大核心 2019年第3期9-16,共8页 Economic Survey
基金 国家旅游局万名英才项目(WMYC201730063) 河南省哲学社会科学规划项目(2017BSH011) 河南省软科学研究计划项目(182400410331) 河南省高等教育教学改革研究与实践项目(2017SJGLX629) 教育部人文社会科学研究青年基金项目(18YJC790160)
关键词 DEA ESDA 旅游产业效率 空间分异 Data Envelopment Analysis ( DEA) Exploratory Spatial Data Analysis ( ESDA) Tourism Industry Efficiency Spatial Differentiation
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