Analysis on the measurement and influencing factors of tourism eco-efficiency in five provinces(regions)of western China under the background of cryosphere environment
The enhancement of tourism ecological efficiency in the five western provinces(regions)of China is pivotal not only for the high-quality development of the tourism industry itself but also for the ecological protec-tion and green sustainable development of the western region.This paper,set against the backdrop of cryosphere tourism analysis and from the perspective of carbon emission constraints,constructs a framework for measuring the tourism ecological efficiency in these five provinces(regions)by focusing on inputs,expected outputs,and unintended outputs.Based on this,the super-efficiency SBM(slack-based measure)model is employed to as-sess the tourism ecological efficiency of these provinces from 2013 to 2021,and the grey relational analysis mod-el is utilized to reveal its influencing factors.The findings indicate:(1)Overall,the tourism ecological efficien-cy in these five provinces(regions)is not high,among them,Gansu Province shows relatively higher efficien-cy,exceeding the overall average of the five provinces(regions).(2)During 2013-2021,the overall tourism ecological efficiency in these provinces(regions)has shown a growth trend,with Xizang experiencing the most significant increase.(3)The level of economic development,infrastructure,carbon emission structure,cryo-sphere endowment,and environmental regulation are the main factors affecting tourism ecological efficiency.Among them,the cryosphere environment imposes notable constraints on other factors.With the enhancement of cryosphere projects,the flow of tourists,logistics,and capital in the western region will significantly im-prove,and the cryosphere endowment will gradually transform from a limiting factor into an economic advan-tage.By enhancing the efficiency of cryosphere tourism,it will effectively boost and improve the tourism eco-logical efficiency in the western provinces(regions)during the winter and spring seasons.
cryospheretourism eco-efficiencysuper-efficiency SBM modelgrey correlation model
NETL
NSTL
万方数据
