Abstract

PDF HTML阅读 XML下载 导出引用 引用提醒 旅游产业集聚对旅游业碳排放效率的空间溢出效应 DOI: 10.5846/stxb202105091211 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 国家社会科学基金(18BJY191);湖南省国内一流培育学科建设项目(5010002) Spatial spillovers of tourism agglomeration on the carbon emission efficiency of tourism industry Author: Affiliation: Fund Project: National Social Science Foundation of China (No.18BJY191); Construction Program for First Class Disciplines of Hunan Province, China (No.5010002) 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:在碳中和、碳达峰的时代背景下,提高旅游业碳排放效率对实现旅游产业高质量发展具有重要的实践价值。基于2001-2018年中国省际(自治区、直辖市)面板数据,首先利用区位熵和Super-SBM模型分别测算中国省际旅游产业集聚水平和旅游业碳排放效率,并探究二者空间演变趋势和关联特征;其次,运用空间杜宾模型分析旅游产业集聚对旅游业碳排放效率的影响及其空间溢出效应。结果表明:(1)研究期内,中西部地区的旅游产业集聚水平明显提高,东部地区则无明显变化;除河北省、山西省、内蒙古自治区等地区外,其他省份的旅游业碳排放效率均无显著变化。整体上看,二者高水平地区的空间分布变化大致均呈现出以现有集聚区为中心向周边扩散的趋势。(2)旅游产业集聚能显著提高旅游业碳排放效率,并且具有正向空间溢出效应,而旅游业碳排放效率的负向空间溢出效应则会抑制其他地区旅游业碳排放效率的提高。(3)经济发展、产业结构、城镇化、对外开放、技术进步和环境规制均能不同程度促进旅游业碳排放效率,但城镇化作用效果不显著,旅游业产权结构则显著抑制旅游业碳排放效率,经济发展和城镇化均具有正向空间溢出效应,产业结构呈现出较强的负向空间溢出作用,技术进步和对外开放的正向空间溢出效应并不显著。 Abstract:It is of important practical value to improve the carbon emission efficiency of tourism industry for realizing high-quality development of the tourism industry in the background of carbon neutrality and carbon peaks. Based on the panel data of provinces, autonomous regions, and municipalities in China from 2001 to 2018, the location quotient and a super undesirable slack-based model are applied to measure the tourism agglomeration and tourism carbon emission efficiency, and then to analyze the spatial variation and spatial correlation of the two. Finally, the spatial panel Durbin model is established to study the spatial spillovers of tourism agglomeration on tourism carbon emission efficiency. The results show that:(1) the level of tourism agglomeration in the central and western regions has been improved significantly, while there is no obvious change in the eastern areas; The level of tourism carbon emission efficiency has not changed significantly in other regions except Hebei Province, Shanxi Province, and the Inner Mongolia Autonomous Region. From the trend of the variation, the spatial variation of the two high-level areas mostly spread to the surrounding regions with the existing agglomeration areas as the center. (2) Tourism agglomeration has a significantly positive influence on improving the tourism carbon emission efficiency, and there is also a positively spatial spillover effect. Besides that, the tourism carbon emission efficiency has a negatively spatial spillover effect, which indicates the increase of its own province will have a negative impact on the surrounding provinces. It is possible that the competition of low-carbon technology, talents, information and other resource elements between the surrounding provinces result in the negatively spatial spillover effect. (3) All of the economic development, industrial structure, urbanization, openness, technological progress and environmental regulation can promote the tourism carbon emission efficiency to various degrees, but the effect of urbanization is not significant, and the property right structure of tourism industry has a significantly negative influence on the carbon tourism emission efficiency. Furthermore, the economic development and urbanization has a positively spatial spillover effect, while the industrial structure shows a strongly negative spatial spillover effect. The positive spillover effect of technological progress and openness are not significant. In the future, the positive spillover effect of tourism agglomeration on the tourism carbon emission efficiency should be strengthened. At the same time, we should further improve the positively spatial spillover effect of the economic development and urbanization, and promote the positively spatial spillover effect of openness and technological progress. In addition, accelerating the transform that the property right structure of the tourism industry has a negative impact on the tourism carbon emission efficiency. 参考文献 相似文献 引证文献

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