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中国旅游业碳排放时空特征及影响因素分解

邹利林 刘佳玲 王建英

华侨大学学报(自然科学版)2024,Vol.45Issue(1):71-77,7.
华侨大学学报(自然科学版)2024,Vol.45Issue(1):71-77,7.DOI:10.11830/ISSN.1000-5013.202304007

中国旅游业碳排放时空特征及影响因素分解

Spatial-Temporal Characteristics and Decomposition of Influencing Factors of Carbon Emissions of China's Tourism Industry

邹利林 1刘佳玲 1王建英2

作者信息

  • 1. 华侨大学 政治与公共管理学院,福建 泉州 362021
  • 2. 华侨大学旅游学院,福建泉州 362021
  • 折叠

摘要

Abstract

The carbon emission coefficient estimation method and tourist stripping coefficient method are com-prehensively used to estimate the carbon emissions of tourism transportation,tourism accommodation,tourism catering,retail,postal and telecommunications industries and tourism activities in China's provincial level dur-ing 2011 to 2021,and logarithmic mean dirichlet index(LMDI)decomposition model is used to analyze the in-fluencing factors of tourism carbon emission.The results show that the carbon emissions of the tourism indus-try are decreasing overall,and it shows a characterist that there are more in the southeast and less in the north-west from the spatial distribution.Tourism transportation carbon emissions and tourism activities carbon emis-sions are the main sources of tourism carbon emissions.The level of tourism consumption and the scale of tourists are the main factors of tourism carbon emissions generated.The structure and intensity of tourism en-ergy have an inhibitory effect on tourism carbon emissions.

关键词

碳排放/旅游业/时空分布/因素分解/LMDI模型/碳排放系数估算法/旅游剥离系数法

Key words

carbon emissions/tourism industry/temporal and spatial distribution/factor decomposition/log-arithmic mean dirichlet index(LMDI)model/carbon emission coefficient estimation method/tourism stripping coefficient method

分类

资源环境

引用本文复制引用

邹利林,刘佳玲,王建英..中国旅游业碳排放时空特征及影响因素分解[J].华侨大学学报(自然科学版),2024,45(1):71-77,7.

基金项目

国家社会科学基金一般资助项目(22BGL182) (22BGL182)

华侨大学学报(自然科学版)

OACSTPCD

1000-5013

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