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广东省国家全域旅游示范区旅游效率研究

Research on Tourism Efficiency of National Comprehensive Tourism Demonstration Areas in Guangdong Province

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【作者】 邓泽平张河清王蕾蕾

【Author】 DENG Zeping;ZHANG Heqing;WANG Leilei;School of Tourism, Guangzhou University;Guangzhou Panyu Polytechnic;

【通讯作者】 张河清;

【机构】 广州大学旅游学院广州番禺职业技术学院

【摘要】 区域旅游效率的高低在一定程度上会影响地区整体旅游的发展,国家全域旅游示范区必须追求更高的旅游效率。基于投入和产出有效时规模报酬不变的DEA模型,对广东省14个国家全域旅游示范区创建单位2016年旅游投入产出效率进行有效评价和相关性分析。研究发现:虽然各示范区创建单位旅游综合效率差异较为明显,但多数区域整体旅游效率水平较高;整体旅游效率与区域经济发展水平基本呈正相关;技术效率差异较小,整体规模效率较为理想;规模效率对综合效率影响和制约作用更大。加强区域旅游内部合作、合理调整旅游要素投入比例与投入规模以及主动优化资源配置等措施有助于旅游效率的提高。

【Abstract】 The level of regional tourism efficiency will affect the development of overall tourism to a certain extent. The National Comprehensive Tourism Demonstration Areas must pursue higher tourism efficiency. Based on the DEA model with constant return on scale when input and output are effective, effective evaluation and correlation analysis of 2016 tourism input-output efficiency of the establishment of the National Comprehensive Tourism Demonstration Areas in14 countries of Guangdong province has been carried out. The study found that although the comprehensive efficiency of tourism is more obvious, in most regions, the overall tourism efficiency level is relatively high; the overall tourism efficiency is basically positively correlated with the regional economic development level; the technical efficiency difference is small, and the overall scale efficiency is ideal; Scale efficiency has greater impact on overall efficiency and constraints. Strengthening the internal cooperation of regional tourism, rationally adjusting the proportion of investment in tourism elements and the scale of investment, and actively optimizing the allocation of resources will help improve tourism efficiency.

【基金】 国家自然科学基金项目“民族传统聚落文化与生态基因信息图谱建模及应用研究”(71473051);广州大学研究生基础创新项目“特殊区域旅游竞争力评价研究”(2017GDJC-M23);广东省大学生科技创新攀登计划专项“区域旅游竞争力评价研究-基于广东省14个国家全域旅游示范区的实证分析”(pdjhb0408)
  • 【文献出处】 中南林业科技大学学报(社会科学版) ,Journal of Central South University of Forestry & Technology(Social Sciences) , 编辑部邮箱 ,2019年02期
  • 【分类号】F592.7
  • 【被引频次】7
  • 【下载频次】267
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