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基于DEA模型的河南省城市旅游效率评价
供稿: 王伟 时间: 2018-12-16 次数:

作者:王伟

作者单位:河南理工大学能源经济研究中心;河南理工大学工商管理学院

摘要:对城市旅游效率及其影响因素分析有助于旅游业资源投入组合的优化和利用能力的提高。采用DEA方法,利用河南省18个地市2012—2014年的旅游产业面板数据,对旅游资源利用的综合效率、技术效率、规模效率和规模收益进行分析评价,并归纳出影响城市旅游效率差异的主要因素。研究表明,河南省城市旅游综合效率、技术效率和规模效率都一般,各市之间、各地区之间的各类效率差异均较大。其中,综合效率的差异有扩大的趋势,技术效率和规模效率的差异在逐步缩小;约72%的城市处于规模收益递增阶段,这些城市位于非郑汴洛地区。最后,从不同层面探讨了影响城市旅游效率的宏观、中观和微观因素。

基金:河南省哲学社会科学规划项目(2015CJJ031);河南省教育厅人文社会科学规划项目(2015-GH-234);河南省高校基本科研业务费专项资金资助项目(SKJYB2015-27);河南理工大学青年骨干教师资助项目;

关键词:城市旅游效率;效率评价;DEA;河南省;

DOI:10.16698/j.hpu(social.sciences).1673-9779.2016.04.007

分类号:F224;F592.7

Abstract:Analyzing urban tourism efficiency and its influence factors is helpful to optimize tourism resource investment & combination, and enhance utilization ability. With DEA ( Data Envelopment Analysis) , the panel data of 18 cities' tourism industry of Henan province from 2012 to 2014 were employed to analyze and evaluate overall efficiency, technical efficiency, scale efficiency and returns to scale of tourism resource utilization, based on which the main factors affecting urban tourism efficiency were concluded. The results show that the overall efficiency, technical efficiency, scale efficiency of urban tourism in Henan province are at a middle level; the variance of different kinds of efficiency among cities and regions are large, and the overall efficiency variance tends to get larger, variance of both technical efficiency and scale efficiency are gradually decreasing; about 72% cities are at the stage of increasing returns to scale and these cities are not in Zheng-Bian-Luo region. Finally, this paper discusses macroscopic, meso and microscopic factors that influence urban tourism efficiency on different levels.

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