中国旅游交通碳排放强度的空间溢出效应  

Spatial Spillover Effect of China’s Tourism Transportation Carbon Emission Intensity

作　　者：殷雅荣 李援 YIN Yarong;LI Yuan(Ecological Economy Research Center,QiongTai Normal University,Haikou 570228,China;Institute of Educational Big Data and Artificial Intelligence,QiongTai Normal University,Haikou 570228,China)

机构地区：[1]琼台师范学院生态经济研究中心,海口570228 [2]琼台师范学院自贸港智能财务教育研究中心,海口570228

出　　处：《科技和产业》2025年第5期342-349,共8页Science Technology and Industry

基　　金：2024年琼台师范学院校级课题(qtky202416);2023年海南省自然科学基金(高层次人才项目)(623RC520)。

摘　　要：降低旅游交通碳排放是实现“双碳”目标的重要途径。在空间自相关理论和空间杜宾模型基础上,对全国旅游交通碳排放的时空演变和空间溢出效应进行研究。结果表明:2012—2020年,国内旅游产业GDP表现出较好的全局空间自相关性,其中,产业结构、绿色出行率、城镇化率是影响旅游交通碳强度的重要因素;在空间溢出效应中,地区经济发展水平、绿色出行率与碳排放呈强负相关性,而城镇化率溢出效应与直接效应相反,表现正向作用,说明随着城镇化水平提升带来的碳减排存在边际效应;地区经济水平、环境技术进步等因素也是降低旅游碳强度的重要手段。Lowering carbon emissions from tourism transportation is an important way to achieve the“dual carbon”goals.Based on spatial autocorrelation theory and the spatial Durbin model,a study was conducted on the spatiotemporal evolution and spatial spillover effects of carbon emissions from tourism transportation nationwide.The results indicate that from 2012 to 2020,the GDP of the tourism industry showed a good overall spatial autocorrelation,with industrial structure,green travel rate,and urbanization rate being the most influential factors on carbon intensity in tourism transportation.In terms of spatial spillover effects,there is a strong negative correlation between regional economic development levels and green travel rates with carbon emissions,while the spillover effects of urbanization rate show a contrary direct effect,demonstrating a positive effect,which indicates that the carbon reduction achieved with the increase in urbanization level has a marginal effect.Factors such as regional economic levels and advancements in environmental technology are also important means of reducing carbon intensity in tourism.

关 键 词：旅游交通 碳排放强度 莫兰指数 空间杜宾模型 空间溢出效应 

分 类 号：F062.2[经济管理—政治经济学]