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安徽省旅游业全要素生产率及其影响因素研究 被引量:1

Research on Total Factor Productivity of Tourism Industry in Anhui Province and Its Influencing Factors
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摘要 基于2007-2016年数据,采用超效率DEA和Tobit回归模型对安徽省16个城市的旅游业全要素生产率及其影响因素进行实证分析。研究结论表明:安徽省旅游业全要素生产率在考察期内波动较小但总体处于下降趋势,且不同城市不同时期的全要素生产率差异较大,呈现出明显的时空分异性;指数分解表明,技术进步对安徽省旅游业全要素生产率贡献最大,而规模效率变化贡献最小。对旅游业全要素生产率影响因素的分析表明,产业结构、经济发展水平、旅游业固定资产投资和交通通达度对旅游业生产效率具有正向影响,区位熵、开放程度和创新能力对安徽省旅游业生产效率产生了负向影响。 Based on the 20072016 data,the super-efficiency DEA and Tobit regression models were used to empirically analyze the total factor productivity of tourism in 16 cities in Anhui Province and its influencing factors.The conclusions of the study show that the total factor productivity of tourism in Anhui Province is less fluctuating during the study period but exhibits an overall declining trend,and the total factor productivity of different cities in different periods is quite different,showing obvious spatial and temporal differentiation.The index decomposition shows that the technological progress has the highest contribution to the total factor productivity of tourism,while the scale efficiency change has the lowest contribution.The analysis of the factors affecting the total factor productivity of tourism shows that industrial structure,economic development level,investment in fixed assets of tourism and traffic accessibility have positive impact on the tourism production efficiency,while location entropy,openness and innovation ability have negative impact on the tourism production efficiency in Anhui Province.
作者 许俊鹏 高莉莉 XU Junpeng;GAO Lili(School of Economics, Anhui University of Finance and Economics, Bengbu 233030, China)
出处 《合肥工业大学学报(社会科学版)》 2020年第1期25-31,共7页 Journal of Hefei University of Technology(Social Sciences)
基金 国家社会科学基金艺术学青年项目(16CH172)。
关键词 旅游业 全要素生产率 超效率DEA TOBIT模型 tourism total factor productivity super-efficiency DEA Tobit model
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