Abstract
This study investigates the impact of tourism industry agglomeration (TIA) on regional tourism carbon emission efficiency (TCE) across 30 Chinese provinces from 2008 to 2019. A game cross-efficiency model is applied to measure TCE, while a spatial Durbin model and a geographically and temporally weighted regression model are used to analyze the spatial spillover effect and spatial-temporal heterogeneity of TIA on TCE, respectively. The results reveal the following: first, an inverted U-shaped non-linear relationship exists between TIA and TCE, with TIA levels in one region also affecting TCE in neighboring regions; second, locally TIA exhibits spatially heterogeneous effects on TCE across the 30 provinces. These findings provide valuable insights into the spatial dynamics and inter-regional impacts of TIA on TCE.
| Original language | English |
|---|---|
| Article number | 105170 |
| Journal | Tourism Management |
| Volume | 110 |
| Early online date | Apr 2025 |
| DOIs | |
| Publication status | Published - Oct 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth -
SDG 12 Responsible Consumption and Production
Keywords
- Game cross-efficiency model
- Spatial heterogeneity
- Spatial spillover effect
- Sustainable tourism
- Tourism carbon efficiency
- Tourism industry agglomeration
ASJC Scopus subject areas
- Development
- Transportation
- Tourism, Leisure and Hospitality Management
- Strategy and Management
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