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广东省旅游业效率评价及其影响因素研究——基于DEA二阶段超效率与Tobit回归模型

Efficiency Evaluation and Influencing Factors of Guangdong Tourism Industry—Based on DEA Two-Stage Super Efficiency and Tobit Regression Model
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摘要 通过收集广东省21个城市2017~2021年的旅游业面板数据,运用二阶段超效率DEA模型对各城市的旅游业效率进行评估,并使用Tobit多元回归分析方法来确定影响旅游业效率的因素。结果表明,广东省城市旅游业存在较大的区域差异性,珠三角区域的城市旅游效率较高。影响旅游业效率的关键因素包括城市经济发展水平、交通基础设施、第三产业发展水平等。研究结论对于广东省城市旅游业的科学治理与高质量发展具有重要的启示作用。 By collecting panel data on the tourism industry from 21 cities in Guangdong Province for year 2017~2021, the two-stage super efficiency DEA model was used to evaluate the tourism efficiency of each city. The Tobit multiple regression analysis method was employed to determine the factors influencing tourism industry efficiency. The results indicate significant regional disparities in the tourism industry among cities in Guangdong Province, with the Pearl River Delta region showing higher tourism efficiency. Key factors influencing tourism industry efficiency include the level of economic development, transportation infrastructure, and the level of development in the tertiary sector. The findings have important implications for the scientific governance and high-quality development of Guangdong tourism industry.
出处 《服务科学和管理》 2023年第6期427-438,共12页 Service Science and Management
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