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中国旅游业发展对区域经济效率的影响——基于中国283个地级市的实证证据
引用本文:于婷婷,左冰,宋玉祥,吴媛媛.中国旅游业发展对区域经济效率的影响——基于中国283个地级市的实证证据[J].地理研究,2020,39(6):1357-1369.
作者姓名:于婷婷  左冰  宋玉祥  吴媛媛
作者单位:1. 中山大学旅游学院,广州 510275;2. 东北师范大学地理科学学院,长春 130024
基金项目:国家自然科学基金项目(41630749);国家自然科学基金项目(41801153);国家自然科学基金项目(41901143);国家社会科学基金项目(16BJY139);中央高校基本科研业务费专项资金资助项目(19wkpy70)
摘    要:基于2002—2016年中国283个地级市的面板数据集,利用DEA模型测度各地级市的综合效率、纯技术效率和规模效率。在此基础上,建立空间计量模型,分析旅游业发展对经济综合效率的影响。结果表明:① 中国城市经济综合效率整体水平在研究期内呈现出先升后降的变化趋势,投入产出效率水平较低,仅少数城市实现效率最优。东部和中部地区的综合效率水平相当,西部偏低,不具备明显的梯度特征。② 旅游收入每提高1%,城市综合效率正向变动0.064%,其对城市综合效率的作用强度显著高于人力资本水平、二产产值比重、第二第三产业从业人员数以及政府财政支出占比。③ 旅游业对中国三大区域城市整体综合效率的提高存在区域差异,西部地区的旅游收入水平对经济综合效率的作用强度高于东部和中部地区。

关 键 词:旅游发展  经济效率  DEA  空间计量模型  中国  
收稿时间:2019-06-05
修稿时间:2019-09-30

The influence of tourism development on regional economic efficiency: Evidence from 283 prefecture-level cities in China
YU Tingting,ZUO Bing,SONG Yuxiang,WU Yuanyuan.The influence of tourism development on regional economic efficiency: Evidence from 283 prefecture-level cities in China[J].Geographical Research,2020,39(6):1357-1369.
Authors:YU Tingting  ZUO Bing  SONG Yuxiang  WU Yuanyuan
Institution:1. School of Tourism Management, Sun Yat-sen University, Guangzhou 510275, China;2. School of Geographical Science, Northeast Normal University, Changchun 130024, China
Abstract:The development of tourism has gradually strengthened its correlation and driving effect on the national economy. Tourism is an important part of the service industry, and the increase of its share means the growth of non-essential consumption, which provides a strong market driver for China's overall economic development. The government emphasizes the driving effect of tourism on economic development. According to the 13th Five-Year Plan (2016-2020) for tourism development, tourism should be developed as an important force in economic transformation. Based on the panel data of 283 prefecture-level cities in China from 2002 to 2016, this study adopts DEA model to measure the comprehensive efficiency, technical efficiency, and scale efficiency of each prefecture-level city. It then establishes spatial-econometric models to investigate the impacts of tourism development on comprehensive efficiency of economy. The main findings are as follows: (1) Overall, the comprehensive efficiency of the sample cities shows a tendency of rising first and then falling, and input-output efficiency is at a low level. Only a few cities achieve the optimal efficiency. The comprehensive efficiency is roughly equivalent in the eastern and central regions, while that of the western region is relatively low. (2) Tourism development can significantly improve the comprehensive efficiency of the cities, which is reflected in the positive change of 0.064% for every 1% increase in tourism revenue. And its effect on the overall efficiency of the economy is significantly higher than that of human capital, proportion of output value of secondary production, number of employees in secondary and tertiary industries, and proportion of government fiscal expenditure. (3) There are regional differences of tourism in improving comprehensive efficiency in China. The effect of tourism development on comprehensive efficiency in the western region is larger than that in the eastern and central regions. This can be attributed to the different development stages of different regions in China. The western region is at the stage of increasing returns to scale, while northeast and central regions, especially their large cities, have entered the mature stage of development, featuring constant marginal returns or decreasing marginal returns.
Keywords:tourism development  economic efficiency  DEA  spatial-econometric model  China  
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