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海岛县旅游效率及影响因子分析——以长海县为例

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以长海县为研究区域,通过DEA模型对长海县 2010-2019 年旅游效率进行分析与评价,并利用Tobit回归模型分析长海县旅游综合效率的影响因子,为实现长海县旅游产业可持续发展建言献策.研究表明:(1)2010-2019 年长海县旅游综合效率较高,整体呈波动上升趋势,其主要受旅游规模效率影响,通过扩大旅游要素投入规模,可推动旅游规模效率达到最优水平,进而提升旅游综合效率;(2)长海县旅游效率Malmquist指数受技术进步因素影响,总体呈波动上升趋势;(3)长海县经济发展水平、产业发展水平、交通便利程度对长海县旅游综合效率影响最大,其余影响因子解释力较弱,通过推进城镇化水平、促进港口基础设施建设、实现旅游资源整合、加强政企合作、加强旅游投资力度、优化海岛生态环境、增加淡水供给等方式,能够有效提高长海县旅游效率.
Analysis of Tourism Efficiency and Influencing Factors in Island Counties:A Case Study of Changhai County
Taking Changhai County as the study area,tourism efficiency in Changhai County from 2010 to 2019 is analyzed and evaluated using the DEA model.Additionally,the factors influ-encing the comprehensive tourism efficiency of Changhai County are analyzed by using the Tobit regression model.Suggestions are proposed for achieving sustainable development of the tourism in-dustry in Changhai County.The study shows that:(1)From 2010 to 2019,Changhai County's tourism efficiency remained high,generally showing an upward trend with fluctuations.This effi-ciency is mainly influenced by the scale efficiency of tourism.Expanding the scale of tourism ele-ment inputs can optimize tourism scale efficiency,thereby enhancing overall tourism efficiency.(2)Influenced by technical progress,the Malmquist index of comprehensive tourism efficiency in Changhai County exhibits an overall upward trend with fluctuations.(3)The level of economic development,industrial development,and transportation convenience in Changhai County have the strongest impact on tourism efficiency,and other influencing factors demonstrate weaker explanatory power.Tourism efficiency in Changhai County can be effectively improved by enhancing urbaniza-tion,improving port infrastructure,integrating tourism resources,strengthening government-enter-prise cooperation,increasing tourism investment,optimizing the ecological environment of the islands,and ensuring fresh water supply.

Changhai Countytourism efficiencyinfluencing factorsDEA modelTobit model

王辉、姚瑶

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辽宁师范大学地理科学学院,辽宁 大连 116029

长海县 旅游效率 影响因子 DEA模型 Tobit模型

2025

福建师范大学学报(自然科学版)
福建师范大学

福建师范大学学报(自然科学版)

北大核心
影响因子:0.353
ISSN:1000-5277
年,卷(期):2025.41(1)