| 中国东部7省市低碳旅游发展效率及影响因素对比研究 |
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| 引用本文： | 冯 悦,周年兴,,王化笛.中国东部7省市低碳旅游发展效率及影响因素对比研究[J].南京师范大学学报,2022,0(4):082-92. |
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| 作者姓名： | 冯 悦 周年兴 王化笛 |
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| 作者单位： | (1.南京师范大学教育科学学院,江苏 南京 210097)(2.南京师范大学地理科学学院,江苏 南京 210023)(3.南京师范大学江苏省地理信息资源开发与利用协同创新中心,江苏 南京 210023) |
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| 摘 要： | 低碳旅游发展效率作为旅游业全要素碳生产率指标,是衡量低碳旅游发展状况与旅游经济增长关系的重要工具. 以中国东部京津冀、长三角、珠三角地区7省市为研究对象,借助超效率DEA模型对2008—2019年京津冀、长三角、珠三角地区7省市低碳旅游发展效率进行测度,分别从静态和动态的视角分析低碳旅游发展效率的演变特征. 为进一步探讨研究区域旅游业全要素碳生产率(Total Factor Carbon Productivity,TFCP)增长演化特征及影响因素,运用全要素生产率(malmquist-luenberger,ML)指数测算2008—2019年TFCP及分解,并借助地理探测器探讨低碳旅游发展效率的影响因素. 2008—2019年期间7省市代表的京津冀、长三角、珠三角地区静态低碳旅游效率值分别为:0.764、0.807、0.971,分别属于效率中等、效率良好、效率良好(基本接近效率有效)3个不同效率等级. 动态TFCP值分别为:1.005、1.136、1.158,技术效率对京津冀地区的贡献度更显著,长三角和珠三角地区受技术进步与技术效率的共同作用. 总体来看,低碳旅游发展效率高低是在技术进步水平、能源消费结构、旅游资源禀赋主导效应; 经济发展水平、产业结构、城镇化水平诱发效应; 旅游接待规模、交通水平的驱动效应共同作用下形成的.
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| 关 键 词： | 低碳旅游发展效率 时空演进 影响因素 东部7省市 |
A Comparative Study on the Efficiency and Influencing Factors of China's Low-Carbon Tourism Development: A Case Study of Seven Provinces and Cities in Eastern China |
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| Feng Yue,Zhou Nianxing,' target="_blank" rel="external">,Wang Huadi.A Comparative Study on the Efficiency and Influencing Factors of China's Low-Carbon Tourism Development: A Case Study of Seven Provinces and Cities in Eastern China[J].Journal of Nanjing Nor Univ: Eng and Technol,2022,0(4):082-92. |
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| Authors: | Feng Yue Zhou Nianxing " target="_blank">' target="_blank" rel="external"> Wang Huadi |
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| Affiliation: | (1.School of Education Science,Nanjing Normal University,Nanjing 210097,China)(2.School of Geography,Nanjing Normal University,Nanjing 210023,China)(3.Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application,Nanjing Normal University,Nanjing 210023,China) |
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| Abstract: | As an index of total factor carbon productivity of tourism,low-carbon tourism development efficiency is an important tool to measure the relationship between low-carbon tourism development and tourism economic growth. This paper takes seven provinces and cities in the Beijing-Tianjin-Hebei region,Yangtze River Delta and Pearl River Delta region in Eastern China as the research object,uses the super-efficiency DEA model to measure the development efficiency of low-carbon tourism in these provinces and cities from 2008 to 2019,and analyzes the evolution characteristics of the development efficiency of low-carbon tourism from static and dynamic perspectives. To further explore the growth evolution characteristics and influencing factors of Total Factor Carbon Productivity(TFCP)in regional tourism industry,the Malmquist-Luenberger(ML)index is used to calculate the TFCP and its decomposition from 2008 to 2019,and the influencing factors of low-carbon tourism development efficiency are explored with the help of geographical detectors. From 2008 to 2019,the static low-carbon tourism efficiency values of Beijing-Tianjin-Hebei,Yangtze River Delta and Pearl River Delta regions represented by the seven provinces and cities were 0.764,0.807 and 0.971,respectively,which belong to three different efficiency levels: medium efficiency,good efficiency and good efficiency(basically close to effective efficiency). The dynamic TFCP values are:1.005,1.136,and 1.158,and the contribution of technical efficiency to the Beijing-Tianjin-Hebei region is more significant,and the Yangtze River Delta and Pearl River Delta regions are affected by the combination of technological progress and technological efficiency. In general,the development efficiency of low-carbon tourism is formed with the interaction among the dominated effect of the level of technological progress,energy consumption structure and tourism resource endowment,the inducing effect of economic development level,industrial structure,urbanization level,and the driving effect of tourism reception scale and traffic level. |
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| Keywords: | efficiency of low-carbon tourism development spatio-temporal evolution influencing factors seven Eastern China provinces and cities |
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