A Study on Tourism Carbon Emission Efficiency in Guangxi Region Through Spatiotemporal Evolution
DOI:
https://doi.org/10.13052/spee1048-5236.4318Keywords:
Spatiotemporal evolution, tourism carbon emission efficiency, Tobit model, slack-based modelAbstract
Currently, there are high emissions and high pollution in the tourism industry around the world, particularly due to carbon emissions from transportation. At the same time, attention is being paid to improving tourism carbon emission efficiency as tourist accommodations and activities consume significant amounts of energy. This article used the slack-based model (SBM) to calculate the tourism carbon emission efficiency in different years and explored its spatiotemporal evolution in the Guangxi region. The factors that affected tourism carbon emission efficiency in Guangxi were selected and examined through Tobit model regression. The results showed that the correlation coefficient of the tourism scale was the largest, reaching 0.6572, making it the variable factor with the greatest impact. The second factor was the tourism industry structure coefficient, which had a correlation coefficient of 0.5688. The impact of tourism industry size and transportation facilities on tourism carbon emission efficiency in Guangxi Province was relatively small, with coefficients of 0.0451 and 0.0357, respectively, i.e., both significance levels were below 0.1, indicating that spatiotemporal evolution can be applied to analyze Guangxi’s tourism carbon emission efficiency.
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