重庆交通大学学报(社会科学版) ›› 2026, Vol. 26 ›› Issue (2): 49-60.

• 人文交通 • 上一篇    下一篇

长江经济带旅游交通碳排放测算与影响因素

刘云龙,田可   

  1. 重庆交通大学 经济与管理学院,重庆 400074
  • 收稿日期:2024-10-14 修回日期:2024-12-23 出版日期:2026-04-15 发布日期:2026-04-13
  • 作者简介:刘云龙,男,重庆交通大学经济与管理学院教授,博士,硕士生导师;田可,男,重庆交通大学经济与管理学院硕士研究生。
  • 基金资助:
    重庆市教育委员会科学技术研究重点项目“双碳约束下成渝地区交通运输跨区排放补偿机制研究”(KJZD-K202200707)

Research on Carbon Emissions Calculation and Influencing Factors of Tourism Transportation in the Yangtze River Economic Belt

Liu Yunlong, Tian Ke   

  1. School of Economics and Management, Chongqing Jiaotong University, Chongqing 400074, China
  • Received:2024-10-14 Revised:2024-12-23 Online:2026-04-15 Published:2026-04-13

摘要: 基于长江经济带2010―2021年旅游交通碳排放量,分析时空格局变化,从交通方式视角建立LMDI模型,揭示影响因素对旅游交通碳排放的影响程度和变化趋势。研究表明:旅游交通碳排放总体先升后降,可分为增速减缓阶段、稳定发展阶段和剧烈下降阶段。铁路运输稳定上升,公路运输先升后降,水路运输基本不变,航空运输占比最大。空间分布格局东西高、中间低,高碳排放区集中在上下游地区,中游地区始终为中低碳排放区。运输结构、能源效率、旅游消费水平和旅游规模为正向因素,客货运结构、能源强度、旅游产业贡献为负向因素。正向因素中,旅游规模效应最大,能源效率最低;负向因素中,旅游产业贡献最大,能源强度呈下降趋势。交通方式影响差异集中于运输结构、客货运结构、能源效率,其他因素与总体趋势相似。

关键词: 旅游交通;碳排放;LMDI模型;影响因素;长江经济带

Abstract: Based on the carbon emissions of tourism transportation in the Yangtze River economic belt from 2010 to 2021, this paper analyzes the change of spatial and temporal pattern, establishes the LMDI model from the perspective of transportation mode, and reveals the influence degree and change trend of influencing factors on the carbon emissions of tourism transportation. The results show that: 1) The overall carbon emissions of tourism transportation increase first and then decrease, which can be divided into a stage of slowing growth, a stage of stable development, and a stage of drastic decline. The railway rose steadily, the road rose first and then fell, the water was basically unchanged, and the aviation accounted for the largest proportion; 2) The spatial distribution pattern is high in the east and low in the middle. The high carbon emission areas are concentrated in the upstream and downstream areas, and the middle reaches are always the middle and low carbon emission areas; 3) Transport structure, energy efficiency, tourism consumption level and tourism scale are positive factors, while passenger and freight structure, energy intensity and tourism industry contribution are negative factors; 4) Among the positive factors, tourism has the largest scale effect and the lowest energy efficiency. Among the negative factors, the tourism industry contributed the most, and the energy intensity showed a downward trend. The difference of transportation mode is concentrated in the transportation structure, passengerfreight structure, energy efficiency and other factors are similar to the overall trend.

Key words: tourism transportation; carbon emission; LMDI model; influencing factors; the Yangtze River economic belt