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Spatial spillover and determinants of tourism efficiency: A low carbon emission perspective

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  • Hongwei Liu
  • Chenchen Gao
  • Henry Tsai

Abstract

This paper measures tourism carbon efficiency (TCE) in China by incorporating energy consumption and carbon dioxide (CO 2 ) emissions into an efficiency assessment framework, and to further investigate the determinants of TCE by considering the spatial spillover effects. To do this, a bootstrap slacks-based measure (SBM) model was applied to assess the TCE in 30 provincial-level administrative regions of China from 2008 to 2019. Next, the Moran’s index and spatial Durbin model (SDM) were adopted to explore the spatial distribution and determinants of TCE. The results indicate that regional differences affect the level of China’s TCE, as do spatial spillover effects. In addition, technology innovation, urbanization rate, and government support positively affect TCE. In contrast, economic growth negatively affects TCE. Educational attainment, green infrastructure, and government support have a negative spatial spillover effect on TCE. Transportation infrastructure has a negative total effect on TCE.

Suggested Citation

  • Hongwei Liu & Chenchen Gao & Henry Tsai, 2024. "Spatial spillover and determinants of tourism efficiency: A low carbon emission perspective," Tourism Economics, , vol. 30(3), pages 543-566, May.
    • Handle: RePEc:sae:toueco:v:30:y:2024:i:3:p:543-566
    DOI: 10.1177/13548166231167045
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