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生态旅游网络空间关注度的时空特征与影响因素——基于百度指数的分析 被引量:3

The Spatial-Temporal Characteristics and Influential Factors of Cyber Attention to the Eco-Tourism:An Analysis with the Baidu Index
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摘要 基于百度指数,收集2011—2017年全国31个省份生态旅游网络关注度数据,运用变异系数(CV)、季节性强度指数(S)、地理集中指数(G)及回归模型分析生态旅游网络关注度时空特征和影响因素。结果发现:(1)2011—2017年,生态旅游网络关注度总体呈现出稳定变化的趋势;(2)生态旅游网络关注度季节性差异明显,差异度呈下降趋势;(3)全国31个省份生态旅游网络关注度差异明显,地区集中度低;(4)全国7大地区间关注度差异明显,关注度较高的地区是华东、华北地区;(5)全国7大地区内部关注度差异明显,东北、华南、西北地区表现出较明显的地理集中性。分析表明,生态旅游的网络关注度主要受到地区常住居民人均可支配收入和旅游业发展水平的影响。 Baidu Index data of the cyber attention to the eco- tourism were collected from 31 provinces, au- tonomous regions and province - level municipalities during the period from 2011 to 2017. Their spatial -tem- poral characteristics and influential factors were analyzed by using the coefficient of variation (CV) , the sea- sonality intensities index (S), the geographic concentration index (G) and the regression analysis method. The findings were as follows: ( 1 )steadiness was seen in the cyber attention to the eco -tourism with the pas- sage of seven years; (2)significant seasonal differences of cyber attention were found but the differentials were decreasing; ( 3 ) distinct regional differences were spotted with low regional concentration ; (4) palpable inter - regional differences in cyber attention were discovered among the seven major regions and East China and North China manifested higher cyber attention; (5)obvious intra- regional differences were shown with high geographical concentration in Northeast China, South China and Northwest China. The further analysis re- vealed that the cyber attention to the eco- tourism is affected by the per capita disposable income of residents and the developmental level of the tourism industry.
作者 李丹 LI Dan(College of Tourism Management,Huaqiao University,Quanzhou 362021,China)
出处 《黎明职业大学学报》 2018年第3期26-36,共11页 Journal of LiMing Vocational University
基金 华侨大学研究生科研创新能力培育计划资助项目(17013121006)
关键词 生态旅游 网络空间 关注度 时空特征 百度指数 eco - tourism cyberspace attention spatial - temporal characteristics Baidu Index
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