生态学报2025，Vol.45Issue(11)：5147-5163,17.DOI:10.20103/j.stxb.202410292635
入境旅游与旅游碳排放耦合协调关系及影响机制
Coupling and coordination relationship and influencing mechanism of inbound tourism and tourism carbon emissions:a case study of Yunnan Province
摘要
Abstract
Yunnan Province is a significant hub for inbound tourism in China,and exhibits a close correlation between inbound tourism and tourism-related carbon emissions.Consequently,exploring the interactions and influencing mechanisms between these two factors is of considerable importance.This paper analyzes the spatiotemporal evolution and differences in the coupling and coordinated development levels of inbound tourism and tourism carbon emissions in Yunnan Province.Utilizing the coupling coordination degree model and the Dagum Gini coefficient method,the study integrates the XGBoost model and random forest model to identify the primary influencing factors on the coupling and coordinated development of inbound tourism and tourism carbon emissions.Additionally,the Tobit model,random effects(RE)model,fixed effects(FE)model,and ordinary least squares(OLS)model are employed to analyze the bias effects of the relevant primary influencing factors.The results indicate that:(1)The level of coupling and coordinated development in Yunnan Province demonstrates a fluctuating yet upward trend;however,significant developmental disparities exist among regions,with a spatial evolution pattern observed as low(Nujiang)→ high(Dali)→ low(Chuxiong)→ high(Kunming)→ low(Qujing)from west to east.(2)The primary influencing factors for the coupling and coordinated development of inbound tourism and tourism carbon emissions in Yunnan Province include development factors,economic factors,population factors,and governance factors within the tourism industry.Among these factors,financial support for tourism exerts a significant negative impact on the coupling and coordinated development of inbound tourism and tourism-related carbon emissions.Conversely,the scale of tourism development,tourism infrastructure,economic development level,and the optimization of industrial structure positively influence this relationship.However,the effect of population agglomeration level is insignificant.Therefore,it is essential to actively promote the development of low-carbon tourism,optimize the tourism industrial structure,encourage large-scale operations,and foster coordinated development within the regional tourism sector.Additionally,optimizing the regional tourism industrial chain is crucial for achieving a high-level interaction between inbound tourism and tourism carbon emissions.关键词
入境旅游/旅游碳排放/耦合协调关系/机器学习回归/云南省Key words
inbound tourism/tourism carbon emissions/coupling coordination relationship/machine learning regression/Yunnan province引用本文复制引用
樊艳翔,贺灿飞,胡文伯,赵筱青,汪小宝..入境旅游与旅游碳排放耦合协调关系及影响机制[J].生态学报,2025,45(11):5147-5163,17.基金项目
云南省西南联合研究生院科技专项-基础研究和应用基础研究重大项目(202302AO370007) （202302AO370007）
国家自然科学基金项目(42171169) （42171169）
