基于STIRPAT模型追踪五台山旅游生态足迹驱动因子  

Tracking the Drivers of the Tourism Ecological Footprint in Mount Wutai,China,based on the STIRPAT Model

作　　者：罗淑政 殷建树 白海龙 蔡富艳[4] LUO Shuzheng;YIN Jianshu;BAI Hailong;CAI Fuyan(Department of Biological Sciences,Xinzhou Normal University,Xinzhou,Shanxi 034000,China;Mount Wutai Scenic Area Planning and Research Center,Xinzhou,Shanxi 034000,China;Cultural Relics and Heritage Protection Bureau of Mount Wutai Scenic Area,Xinzhou,Shanxi 034000,China;College of Applied Engineering,Urumqi Vocational University,Urumqi 830002,China)

机构地区：[1]忻州师范学院生物系,山西忻州034000 [2]五台山风景名胜区规划编制研究中心,山西忻州034000 [3]五台山风景名胜区文物与遗产保护局,山西忻州034000 [4]乌鲁木齐职业大学应用工程学院,乌鲁木齐830002

出　　处：《Journal of Resources and Ecology》2023年第5期1053-1060,共8页资源与生态学报（英文版）

基　　金：The Xinzhou Teachers University Project(2018KY02);The Program for the Philosophy and Social Sciences Research of Higher Learning Institutions of Shanxi(20190131)。

摘　　要：旅游业消费水平高,环境污染严重。随着五台山旅游业不断发展,环境压力持续增加。本研究旨在探讨2005–2019年五台山游客接待量、五台山国内游客门票收入、中国旅客周转量、能源强度、五台县人均GDP和中国人均GDP对五台山旅游生态足迹的影响。采用主成分回归构建了扩展的STIRPAT(Stochastic Impacts by Regression on Population,Affluence and Technology)模型。结果表明:(1)五台山旅游生态足迹呈现增长趋势,2005年为27798.07 gha,到2019年则增至67467.36 gha。(2)五台山游客接待量、五台山国内游客门票收入、中国旅客周转量、五台山人均GDP、中国人均GDP均呈现增长趋势,而能源强度则呈现下降趋势。(3)扩展的STIRPAT模型表明五台山游客接待量、五台山国内游客门票收入和中国旅客周转量弹性系数分别为0.086%、0.075%和0.164%,说明它们每增加1%,五台山旅游生态足迹分别增加0.086%、0.075%和0.164%;五台县人均GDP和中国人均GDP的弹性系数呈上升趋势,在研究期间环境库兹涅茨曲线没有出现,说明经济增长仍然没有减轻环境压力;能源强度弹性系数为–0.108%,说明它每增加1%,五台山旅游生态足迹则降低0.108%。因此,实施有效政策与技术创新能够显著降低五台山旅游生态足迹。Tourism can cause serious environmental pollution due to high consumption levels.With the development of tourism in Mount Wutai,the environmental pressure has been increasing.This study explored the influences of tourist arrivals in Mount Wutai,ticket revenue from domestic tourists in Mount Wutai,national passenger turnover,energy intensity,GDP per capita in Wutai County and GDP per capita in China on the tourism ecological footprint in Mount Wutai from 2005 to 2019.The extended STIRPAT(Stochastic Impacts by Regression on Population,Affluence and Technology)model was constructed by using principal component regression.The results were as follows:(1)The tourism ecological footprint in Mount Wutai increased during the study period,from 27798.07 gha in 2005 to 67467.36 gha in 2019.(2)From 2005 to 2019,tourist arrivals in Mount Wutai,ticket revenue from domestic tourists in Mount Wutai,national passenger turnover,GDP per capita in Wutai County and GDP per capita in China grew,while energy intensity declined.(3)The extended STIRPAT model showed that the elasticity coefficients of tourist arrivals in Mount Wutai,ticket revenue from domestic tourists in Mount Wutai and national passenger turnover were 0.086%,0.075%and 0.164%,respectively,which indicated that the tourism ecological footprint in Mount Wutai would increase by 0.086%,0.075%and 0.164%,respectively,when those parameters increased by 1%;the elasticity coefficients of GDP per capita in Wutai County and GDP per capita in China increased at an escalating pace,but the environmental Kuznets curve did not exist,indicating that economic growth did not alleviate the environmental pressure during the study period;the elasticity coefficient of energy intensity was-0.108%,which indicated that the tourism ecological footprint would decrease by 0.108%when energy intensity increased by 1%.Therefore,the implementation of effective policies and technological innovation would significantly reduce the tourism ecological footprint in Mount Wutai.

关 键 词：STIRPAT 旅游生态足迹 主成分回归 驱动因子 

分 类 号：F592.7[经济管理—旅游管理] X322[经济管理—产业经济]