Evaluation and Influencing Factors of the Tourism Industry Efficiency under Carbon Emission Constraints in China

Abstract

Abstract In response to carbon peak and carbon neutrality targets, a broad industrial transformation is underway in China's tourism industry. This paper applies the Data Envelopment Analysis (DEA) model to calculate the efficiency of the tourism industry under carbon emission constraints and further investigates its influencing factors through the Tobit regression. The results are as follows: (1) The tourism efficiency under carbon emission constraints of China from 2000 to 2019 showed a trend of first rising and then declining, and there were obvious regional differences; (2) The total factor productivity of tourism in China increased significantly from 2000 to 2019, the contribution of technical progress, pure technical efficiency, and scale efficiency to it decrease in succession; (3) The factors of industrial structure, transportation convenience, economic development level, degree of opening to the outside world, the level of scientific and technological development have varying degrees of influence on tourism efficiency. Based on the analysis results, this paper puts forward several policy recommendations on tourism efficiency and low-carbon development. The conclusions of this paper are of certain significance for developing countries to improve tourism efficiency and achieve high-quality development of tourism industry in the context of sustainable development.