摘要
本文利用交通运输业、邮电业、商业、餐饮业、住宿业以及社会服务业这6个行业面板数据,在揭示2005年至2014年30个省(市、区)旅游业碳排放总量与强度的时空动态变化关系时,借助LMDI法分解出影响我国旅游业碳排放增加量的关键因素。研究结果表明:1旅游业碳排放总量在时间上呈逐年上升趋势,且中、西部地区增长速度要显著高于东部地区;2旅游业碳排放强度在时间上呈逐年递减趋势,且中、西部地区下降速度要显著低于东部地区;3影响我国旅游业碳排放增加量的关键因素取决于经济产出因子(TEO)、接待人次因子(TP)、行业结构因子(TIS)、能源效率因子(TEE)、能源结构因子(TES)5个方面,前两者为增量因子,后三者为减量因子。
This paper collects six sector panel data of transportation, post and telecommunications, industry, commerce, catering, accommodation industry and social service industry, trying to decompose of the key fac- tors that affect carbon emission of tourism industry in China with the method of LMDI, as well, to reveal the exchangeable temporal and spatial dynamic relationship between total amounts and intensity of tourism in- dustry carbon emission in 30 provinces （city, district） between the year 2005 to 2014. The results show that： 1） The amounts of tourism carbon emissions presented a rising trend year by year. Specifically, there is an ob- vious trend that the growth rate of eastem regions was significantly higher than that in the westem region. Of all the growth in tourism carbon emissions amount, tourism carbon emission and tourism developmental anti- cyclicality of crisis play an important part. 2） The intensity of tourism carbon emissions showed a trend of decreasing year by year. Meanwhile in space, there＇s an obvious trend that the growth rate of western regions keeps much higher than that of the eastern region. 3） Those key factors that influence carbon emissions of tourism industry in China could mainly be listed as： tourism economy output （TEO）, tourism reception （TP）, tourism industry structure （TIS）, tourism energy efficiency （TEE）, tourism energy structure（TES）, with the former two works as incremental factors, while the latter three work as reduction factors.
出处
《人文地理》
CSSCI
北大核心
2016年第6期152-158,共7页
Human Geography
基金
上海市教育委员会科研创新重点项目(12ZS195)
上海师范大学研究生优秀成果培育项目(A-6001-15-001445)
关键词
旅游业碳排放
强度分布
驱动因子
面板数据
tourism industry carbon emission
intensity distribution
influencing factors
panel data
