基于STIRPAT模型的四川省旅游业碳排放量影响因素分析  被引量:5

Analysis of the factors influencing carbon emissions from tourism in Sichuan Province based on the STIRPAT model

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作  者:高源遥 沈西林[1] 梁文灏 刘芳 GAO Yuanyao;SHEN Xilin;LIANG Wenhao;LIU Fang(School of Economics and Management,Southwest Petroleum University,Chengdu Sichuan 610500)

机构地区:[1]西南石油大学经济管理学院,四川成都610500

出  处:《环境污染与防治》2023年第12期1737-1742,共6页Environmental Pollution & Control

基  金:四川省哲学社会科学“十三五”规划2017年度重大项目(No.SC17EZD039)。

摘  要:采用“自下而上”法对四川省旅游业碳排放量进行核算,构建了以旅游人数、人均旅游消费支出、旅游碳排放强度、城镇化率为自变量的STIRPAT扩展模型。结果表明,2006-2020年四川省旅游业碳排放量呈上升态势,其中旅游交通碳排放量年均占比达87.76%,是旅游业碳排放主要来源。城镇化率、旅游人数、人均旅游消费支出每增加1%,分别导致四川省旅游业碳排放量增加0.472%、0.448%、0.123%;旅游碳排放强度每降低1%,则会导致四川省旅游业碳排放量降低0.012%。据此提出四川省旅游业低碳发展的建议,以实现旅游业的低碳转型和可持续发展。A bottom-up approach was adopted to account for the carbon emissions from tourism in Sichuan Province,and an extended STIRPAT model was constructed with four indicators,including the number of tourists,per capita tourism consumption expenditure,tourism carbon emission intensity and urbanization rate,as independent variables.The results showed that the carbon emissions from tourism in Sichuan Province from 2006 to 2020 were on the rise,among which the annual average of carbon emissions from tourism transportation reached 87.76%,which was the main source of carbon emissions from tourism.Among the selected factors,each 1%increase in urbanization rate,number of tourists and per capita tourism consumption expenditure would lead to 0.472%,0.448%and 0.123%increase in carbon emissions from tourism in Sichuan Province,respectively.Each 1%decrease in tourism carbon emission intensity would lead to 0.012%decrease in carbon emissions from tourism in Sichuan Province.Accordingly,suggestions for low carbon development from tourism in Sichuan Province were proposed to achieve low carbon transformation and sustainable development of tourism.

关 键 词:旅游业碳排放 旅游人数 人均旅游消费支出 旅游碳排放强度 城镇化率 

分 类 号:X322[环境科学与工程—环境工程] F592.7[经济管理—旅游管理]

 

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