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区域旅游业技术效率及其影响因素分析——基于DEA-PCR两阶段法的实证研究 被引量:8

Research on China’s Regional Tourism Industry Technical Efficiency and Its Determinants:Based on DEA-PCR Model
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摘要 运用数据包络分析及主成分回归法,对我国30个省(市)旅游业的区域技术效率差异及其影响因素进行了分阶段研究。结果表明,我国旅游业整体效率偏低,在发展格局和地区分布上存在着显著差异,总效率和规模效率呈现出中部高、东西部低的现状,而纯技术效率依然是东中西依次降低;各种资源配置不合理,亟待互补整合。其次,媒体报道量与综合技术效率呈现高度相关,旅游宣传及区域合作应该是政府部门提高旅游效率工作中的重点。 This paper employs a data envelopment analysis (DEA) method and principal component regression (PCR) to analyze the technical efficiency of China's regional tourism industry and its determinants, including 30 provinces (municipalities). It reflects the current development pattern of the domestic tourism industry and regional difference. It is found that the total efficiency level of central region is higher than the east and west region, while the pure technical efficiency is still the highest in the east. It is because of the unreasonable resources allocation, and the implement and deepening of the integrated cooperation of the regional tourism are extremely urgent. It also shows that the media reported and the technical efficiency are highly related, and the traveling propaganda and the region cooperation should be the key point in the work of the related government departments.
出处 《电子科技大学学报(社科版)》 2012年第6期47-53,共7页 Journal of University of Electronic Science and Technology of China(Social Sciences Edition)
基金 中西部地区资源节约型和环境友好型社会建设战略研究(08&ZD043)
关键词 旅游业 技术效率 DEA 主成分回归 tourism industry technical efficiency DEA principal component regression
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