Literature DB >> 35947907

Do socio-economic factors matter? A comprehensive evaluation of tourism eco-efficiency determinants in China based on the Geographical Detector Model.

Lijia Guo1, Peizhe Li2, Jinhe Zhang3, Xiao Xiao2, Hongsong Peng4.   

Abstract

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.
Copyright © 2022 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  China; Geographical detector model; Super-SBM model; Tourism eco-efficiency

Mesh:

Year:  2022        PMID: 35947907     DOI: 10.1016/j.jenvman.2022.115812

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   8.910


  1 in total

1.  Evolution and Driving Factors of the Spatiotemporal Pattern of Tourism Efficiency at the Provincial Level in China Based on SBM-DEA Model.

Authors:  Junli Gao; Chaofeng Shao; Sihan Chen
Journal:  Int J Environ Res Public Health       Date:  2022-08-16       Impact factor: 4.614

  1 in total

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