Research On The Spatial Correlation Network Structure Of Tourism Carbon Emissions In China

Under the background of global warming,the control of greenhouse gas emission and the development of low-carbon economy have become a hot topic in the international community.As the world's largest industry,tourism industry has an unshirkable responsibility for energy conservation and emission reduction.Therefore,it is very important to study the characteristics of spatial correlation network structure of tourism carbon emissions and clarify the position and role of each province in the network as well as its key influencing factors and network structure effects,so as to promote the sustainable development of tourism.On the basis of measuring the carbon emissions of tourism of 30 provinces in mainland China from 1996 to 2017,this paper first explores the temporal and spatial evolution characteristics of tourism carbon emissions with the help of ArcGIS spatial analysis tool and spatial autocorrelation test.Then it determines the spatial correlation relationship of tourism carbon emissions among provinces with the help of gravity model.The status changes of provinces in the network are evaluated by the central calculation and block models analysis.Finally,QAP analysis method is used to analyze the influencing factors of the spatial correlationnetwork structure of tourism carbon emissions.The results show that:(1)During the research period,the total carbon emissions of China's tourism industry has been increasing.The order of carbon emissions from high to low are East,West,middle and Northeast.There is a significant spatial positive correlation among the provincial tourism carbon emissions.(2)The number and density of the spatial correlation network of tourism carbon emissions in China are growing in volatility.The network level and network efficiency present a fluctuant rising trend.While the spatial correlation of tourism carbon emissions is becoming increasingly close,but there is still a certain gap from the ideal state.(3)The first and second sectors of China's tourism carbon emissions spatial correlation network basically belong to the type of net spillover and broker,while the third and fourth sectors are classified as bidirectional spillover or main beneficiary sector.During the research period,the agglomeration of correlation in the third and fourth plates has improved,and the linkage effect between plates is more significant.(4)Spatial adjacency,structural difference of tourism carbon emissions,development level difference of tourism and industrial structure difference are important factors to promote spatial correlation of tourism carbon emissions,while the difference of technology level of tourism,economic development level and urbanization level have a negative effect on the spatial correlation of tourism carbon emissions.The level of opening up has no significanteffect on the spatial correlation of tourism carbon emissions in China.