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A DEA-based measurement of effectiveness of provincial image advertisement for local tourism destination: evidence from China

机译:基于DEA的省级形象广告在当地旅游目的地有效性的衡量:来自中国的证据

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摘要

Global economic depression makes competition of tourism industry shift from individual tourist attraction to tourism region covering many tourist attractions in order to save operating costs, and regional image advertising of destination has become an important tool to coordinate the operation behaviours among different managers of tourist attractions. However, is the regional image advertising effective? This paper firstly introduces data envelopment analysis (DEA) to evaluate the efficiency of provincial image advertising in China; furthermore, estimates a regression model to identify the impact factors of advertising efficiency. Results show that the overall efficiency of Chinese provincial image advertising is relatively low. In terms of regional distribution, the east and west areas are more efficient than the central. And gross provincial production, the distribution density of scenic spots and marketing size of destination are the important impact factors influencing advertising efficiency, with the former two exerting a significantly positive effect while the latter a negative one.
机译:全球经济低迷使得旅游业竞争从单个旅游胜地向覆盖众多旅游胜地的旅游区域转移,以节省运营成本,目的地区域性形象广告已成为协调旅游胜地不同经营者之间经营行为的重要工具。但是,区域形象广告有效吗?本文首先介绍了数据包络分析(DEA),以评估中国省级形象广告的效率。此外,估计回归模型以识别广告效率的影响因素。结果表明,中国省级形象广告的整体效率相对较低。在区域分布方面,东部和西部地区比中部地区更有效率。省生产总值,景点分布密度和目的地营销规模是影响广告效率的重要影响因素,前两者表现出显着的正效应,而后者则表现为负数。

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