中国旅游业碳排放脱钩的空间异质性及其驱动因素

文章首先采用脱钩模型对2007-2017年中国旅游业碳排放脱钩效应进行测度,再基于空间分析法对其脱钩效应的时序演变、空间异质性与空间相关性等进行深入探讨,最后借助地理探测器探索其空间异质性的驱动因素。结果表明:研究期内,中国旅游业碳排放脱钩以扩张性连接为主,脱钩状态不佳,其省际差异不大,但时序演变剧烈,在2011年后趋于稳定;2007-2017年中国旅游业碳排放脱钩呈现显著正相关,虽整体相关性不强,但相关程度有所上升,其中,中西部省市主要位于"低-低"区,东部省市主要位于"高-高"区;影响中国旅游业碳排放脱钩空间异质性的显著性因素按影响力大小依次为:政府政策、经济发展水平、技术创新、城镇化水平、产业结构。

Spatial Heterogeneity of Carbon Emission Decoupling in China's Tourism Industry and Its Driving Factors

This paper first uses the decoupling model to measure the decoupling effect of Chinas tourism carbon emissions from 2007 to 2017,discusses the temporal evolution,spatial heterogeneity and spatial correlation of the decoupling effect based on spatial analysis method,and finally explores the driving factors of its spatial heterogeneity with the help of geo-detectors.The results show that during the study period,Chinas tourism carbon emissions decoupling is dominated by expansionary linkages,and the decoupling state is not good.The inter-provincial differences are not large,but the time series evolves sharply and tends to be stable after 2011;the decoupling of Chinas tourism carbon emissions from 2007 to2017 is significantly positively correlated.Although the overall correlation is not strong,the degree of correlation has increased.Among them,the central and western provinces and cities are mainly located in the"Low-Low"zone,and the provinces and cities in the east are mainly located in the"High-High"zone;the significant factors affecting the spatial heterogeneity of Chinas tourism carbon emissions decoupling are government policy,economic development level,technological innovation,urbanization level,and industrial structure in turn.