| 伍卓,林宣任.长江经济带旅游业碳排放强度的时空演变及其影响因素[J].,2022,(3):25-36 |
| 长江经济带旅游业碳排放强度的时空演变及其影响因素 |
| Spatio-Temporal Evolution of Tourism Carbon Emission Intensity in the Yangtze River Economic Belt and Influencing Factors |
| 投稿时间：2021-12-22 |
| DOI： |
| 中文关键词: 长江经济带 碳排放强度 时空演变 影响因素 SDM模型 |
| English Keywords:the Yangtze River Economic Belt tourism carbon emission intensity temporal and spatial characteristics influencing factors SDM model ( |
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| 中文摘要: |
| 文章通过利用长江经济带11个省市2010—2019年旅游业面板数据测算其旅游业碳排放强度,借助SDM模型,探究旅游业碳排放强度的时空演变及影响因素。结果表明:旅游业碳排放强度整体明显降低,其中以云南省、四川省和贵州省的碳排放强度下降幅度最大；碳排放强度在研究时期向着较高碳排放强度区域集中在中游地区的趋势发展,呈现碳排放强度“中间高,两侧低”的空间格局；产业结构与贸易依赖水平的间接效应和总效应分别表现出显著的抑制、促进效应,表明产业结构优化显著促进本地及相邻地区的旅游业碳排放强度下降,而贸易依赖水平提升效果相反。最后,文章对所得结论提出建议,旨在为旅游业实现低碳科学发展提供决策参考。 |
| English Summary: |
| This paper calculates carbon emission intensity of tourism by using the panel data of tourism in 11 provinces and cities along the Yangtze River Economic Belt from Year 2010 to 2019. Besides, the temporal and spatial characteristics and influencing factors of tourism carbon emission intensity are explored with SDM model. The results reveals the following:(1)Overall tourism carbon emission intensity of the Yangtze River Economic Belt has been significantly reduced. Among them, Yunnan Province, Sichuan Province and Guizhou Province show the largest decline in carbon emission intensity. (2)Carbon emission intensity of the Yangtze River Economic Belt tends to focus on mid-stream region with higher carbon emission intensity, presenting a spatial pattern of carbon emission intensity “high in the middle and low on both sides”. (3)Both indirect effect and total effect of industrial structure and trade dependence level obviously show inhibition effect and promotion effect respectively, indicating that the optimization of industrial structure significantly promotes decline of tourism carbon emission intensity in local and adjacent areas, and increase of trade dependence level will lead to the opposite effect. Finally, recommendations are put forward to the conclusions obtained, aiming to provide a decision-making basis for scientific low-carbon development of tourism industry. |
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