期刊
JOURNAL OF ENVIRONMENTAL MANAGEMENT
卷 320, 期 -, 页码 -出版社
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jenvman.2022.115812
关键词
Tourism eco-efficiency; Super-SBM model; Geographical detector model; China
资金
- National Natural Science Foundation of China [41801129, 41771147]
- project of humanities and social sciences of Chinese Ministry of Education [18YJC790124]
- Six Talent Climax Foundation of Jiangsu Province, China [2019-JY-020]
Constructed on the total-factor analysis framework, this paper develops a comprehensive evaluation system and adopts the Super-SBM model to analyze the characteristics of tourism eco-efficiency in China during 2000-2017. The study finds that tourism eco-efficiency in China has great growth potential, driven by pure technical efficiency. There are significant spatial variations in eco-efficiency across different regions, with urbanization contributing the most.
Constructed on the total-factor analysis framework, this paper develops a comprehensive evaluation system and adopts the Super-SBM model to both analyze and enunciate the characteristics of tourism eco-efficiency in China during 2000-2017. This paper also identifies the determinants associated with spatial differentiation of tourism eco-efficiency by employing a novel geographical technique, namely the Geographical Detector Model. The results indicate that the tourism eco-efficiency exhibits great potential for growth. Besides, pure technical efficiency drives the optimized development of eco-efficiency. Also, there is significant spatial variations in ecoefficiency across different provinces and regions in China. Urbanization contributes to tourism eco-efficiency remarkably, followed by openness, technical level, economic scale, industrial structure, capital effect, environmental regulation, and tourism growth. The relational interrelations of tourism eco-efficiency determinants are the bi-enhancement and the nonlinear-enhancement interactions. The implications of research findings are discussed and may be applied to a multitude of corporate environmental-economic management scenarios.
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