摘要
为厘清旅游创新能力与旅游业碳排放效率的关系,基于2010—2019年长江经济带11个省市的面板数据,利用改进的熵权TOPSIS法和基于非期望产出的SBM模型分别测算旅游创新能力水平和旅游业碳排放效率,并进一步构建面板固定效应模型和面板分位数回归模型探析旅游创新能力对旅游业碳排放效率的影响。结果表明:1)旅游创新能力和旅游业碳排放效率在时间序列上呈现逐年上升的态势,在空间分布上呈现“东高西低”的格局;2)基准回归结果表明,旅游创新能力与旅游业碳排放效率呈显著正相关;3)回归结果表明,旅游创新能力的碳减排效应在低效率省份更为显著。
To clarify the relationship between the tourism innovation capability and tourism carbon emission efficiency,based on the Yangtze river economic belt of 11 provinces and cities in 2010—2019 panel data,this study uses the improved entropy TOPSIS method to measure the tourism innovation capability and SBM model based on unexpected output to calculate the tourism carbon emission efficiency.On the basis,the panel fixed effect model and panel quantile regression model have been further built to analyze the influence of the tourism innovation capability on tourism carbon emission efficiency.The results show that,firstly,the tourism innovation capability and tourism carbon emission efficiency both show a trend of increasing year by year in the time series,and present the pattern in which the higher in the eastern region while the lower in the western region”in the spatial distribution;Secondly,the benchmark regression result indicates that the tourism innovation ability is significantly and positively correlated with the tourism carbon emission efficiency;Thirdly,the panel quantile regression indicates that the carbon emission effect of tourism innovation capability turns out to be more prominent in low-efficiency provinces.
作者
王凯
关锐
胡鸣镝
WANG Kai;GUAN Rui;HU Mingdi(School of Tourism,Hunan Normal University,Changsha 410081,Hunan,China)
出处
《中南林业科技大学学报（社会科学版）》
2023年第1期111-118,共8页
Journal of Central South University of Forestry & Technology（Social Sciences）
基金
湖南省自然科学基金面上项目“旅游高质量发展与脱贫居民福祉耦合互馈机制与路径:湖南武陵山区案例”(2022JJ30392)。
关键词
旅游创新能力
旅游业碳排放效率
面板分位数回归模型
长江经济带
tourism innovation capability
tourism carbon emission efficiency
panel quantile regression model
the Yangtze River Economic Belt
