MEASUREMENT, TEMPORAL AND SPATIAL EVOLUTION OF TOURISM ECO-EFFICIENCY IN CHINA BASED ON DATA MINING

Ecological efficiency is commonly applied to evaluate the ecological and economic effects of sectors such as agriculture, industry, and mining.As the environmental issues associated with tourism become more evident, the concept of ecological efficiency is increasingly incorporated into tourism studies.In this paper, based on the research of domestic and foreign literatures on ecological efficiency, an evaluation index system of ecological efficiency in line with tourism development is constructed.Based on data mining, Carbon emissions and tourism consumption across 30 provinces in China from 2010 to 2020 are estimated, with the analysis of the results conducted using the coefficient of variation and Moran index.The trends in tourism eco-efficiency are evaluated for their alignment with the requirements of sustainable development, particularly the United Nations Sustainable Development Goals (SDGs).The results show that the carbon emissions of China's tourism industry are increasing, and the carbon emissions among tourism departments are quite different.Due to the implementation of tourism development policies, the eco-efficiency of tourism across China and its regions has generally shown consistent improvement.However, when considering the time aspect, regional disparities in China's tourism ecological efficiency remain.Strong spatial correlation exists among regions, and the coupling coordination between population density, industrial structure, and technological innovation is significantly influenced by these factors; The coupling coordination between population density, industrial structure, and technological innovation is greatly influenced by these factors.