Dynamic evolution and driving mechanisms of tourism carbon reduction networks

A TERGM-based study

Datos Bibliográficos

ID21699720
AutoresHuifang Liu (0000-0001-5357-4938, Tianjin University), Weidong Chen (0009-0004-8504-7840, Tianjin University), Pengwei Yuan (0000-0003-3172-5752, University of Jinan, autor de correspondencia), Xiaoqing Dong (0000-0002-3965-0655, University of Jinan)
Año2026
Volumen29
Número9
Páginas1790-1814
Fecha de publicación2026-05-03
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaCurrent Issues in Tourism (JOURNAL)
Identificadores de la revistaISSN: 1368-3500 • E-ISSN: 1747-7603
EditorialInforma UK Limited (PUBLISHER • GB)
DOI10.1080/13683500.2025.2488034
OpenAlexW4409295639
IdiomaEN
Citas recibidas3
Referencias citadas43

Based on energy inputs and CO2 outputs, the carbon reduction efficiency of provincial tourism in China from 2006–2022 is quantified using SBM-DEA. A modified gravity model and social network analysis (SNA) examine the spatial topology of the tourism carbon reduction efficiency network. The temporal exponential random graph model explores TCREN’s dynamics. Key findings include: (1) Provincial tourism carbon reduction efficiency (TCRE) has improved, with TCREN showing low density, long average shortest path, and moderate efficiency. (2) In-degree and out-degree distributions show long-tail and normal characteristics, respectively. (3) TCREN demonstrates significant connectivity and disassortativity; motif analysis confirms reciprocity, while core–periphery and block models reveal hierarchical and clustering features. (4) Variables like labour force, industrialisation, openness, urbanisation, and R&D intensity facilitate inter-provincial cooperation. Similar technological innovation and government intervention also influence carbon reduction relationships. Informatization promotes, while transportation infrastructure inhibits, TCREN formation. This research recapitulates the evolution of TCREN, provides new insights into the factors affecting CO2 reduction in the context of sustainable tourism, and guides the development of future policies and strategies aimed at improving the carbon efficiency of China’s tourism industry

Business · Economic geography · Economics · Environmental resource management · Geography · Natural resource economics · Tourism · Climate Change Policy and Economics · Diverse Aspects of Tourism Research · Energy, Environment, Economic Growth · Mathematics