TY - JOUR
T1 - Do socio-economic factors matter? A comprehensive evaluation of tourism eco-efficiency determinants in China based on the Geographical Detector Model
AU - Guo, Lijia
AU - Li, Peizhe
AU - Zhang, Jinhe
AU - Xiao, Xiao
AU - Peng, Hongsong
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/10/15
Y1 - 2022/10/15
N2 - 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 eco-efficiency 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.
AB - 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 eco-efficiency 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.
KW - China
KW - Geographical detector model
KW - Super-SBM model
KW - Tourism eco-efficiency
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U2 - 10.1016/j.jenvman.2022.115812
DO - 10.1016/j.jenvman.2022.115812
M3 - Article
C2 - 35947907
AN - SCOPUS:85135915773
SN - 0301-4797
VL - 320
JO - Journal of Environmental Management
JF - Journal of Environmental Management
M1 - 115812
ER -