基于STIRPAT模型的五台山旅游生态足迹驱动因素追踪

Q3 Environmental Science
S. Luo, Jianshu Yin, Hailong Bai, Cai Fuyan
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引用次数: 0

摘要

摘要:旅游业的高消费水平会造成严重的环境污染。随着五台山旅游业的发展,环境压力越来越大。本研究探讨了2005 - 2019年五台山游客入境人数、五台山国内游客门票收入、全国旅客周转量、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。利用主成分回归建立了扩展的STIRPAT (Stochastic impact by Regression on Population, Affluence and Technology)模型。结果表明:①研究期间,五台山旅游生态足迹从2005年的27798.07 gha增加到2019年的67467.36 gha;(2) 2005 - 2019年,五台山旅游人数、五台山国内游客门票收入、全国旅客周转量、五台县人均GDP、全国人均GDP均呈增长趋势,能源强度呈下降趋势。(3)扩展STIRPAT模型表明,五台山旅游人数、五台山国内游客门票收入和全国旅客周转量的弹性系数分别为0.086%、0.075%和0.164%,这表明五台山旅游生态足迹每增加1%将分别增加0.086%、0.075%和0.164%;五台县和全国人均GDP弹性系数均呈上升趋势,但环境库兹涅茨曲线不存在,说明研究期间经济增长并未缓解环境压力;能源强度弹性系数为-0.108%,表明能源强度每增加1%,旅游生态足迹将减少0.108%。因此,实施有效的政策和技术创新将显著减少五台山旅游生态足迹。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tracking the Drivers of the Tourism Ecological Footprint in Mount Wutai, China, Based on the STIRPAT Model
Abstract: 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.
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来源期刊
Journal of Resources and Ecology
Journal of Resources and Ecology Environmental Science-Ecology
CiteScore
2.40
自引率
0.00%
发文量
107
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