基于网络搜索数据改进的旅游消费价格指数与应用  

On Tourism Consumer Price Index and Application Based on Internet Search Data

作　　者：王巍 郑文慧 钱小宇 WANG Wei;ZHENG Wen-hui;QIAN Xiao-yu(School of Big Data and Artificial Intelligence,Chizhou University,Chizhou,247000 China)

机构地区：[1]池州学院大数据与人工智能学院,安徽池州247000

出　　处：《乌鲁木齐职业大学学报》2021年第3期17-21,共5页Journal of Urumqi Vocational University

基　　金：池州学院自然科学研究重点项目(CZ2019ZRZ03);安徽省大学生创新训练项目(202011306033,202011306130)。

摘　　要：以海南作为研究对象,从商品市场的角度出发建立理论框架,在均衡价格理论的基础上揭示网络搜索数据与旅游消费价格指数存在相关关系以及存在的先行和滞后关系。引入网络搜索数据,利用主成分分析对关键词进行降维处理,运用提取的主成分信息构建旅游价格指数模型。结果表明,网络搜索数据相比传统数据具有一定的时效性,同时,宏观经济指数与供求关系指数共同影响旅游消费价格指数,而供求关系指数对旅游消费价格指数的影响更大,基于网络搜索数据构建的旅游价格指数在反映旅游价格水平变化趋势和结构方面效果更佳。The paper takes Hainan as the research object to establish the theoretical framework from the perspective of commodity market to reveal the correlation between network search data and tourism consumption price index on the basis of balanced price theory.The network search data is introduced,the keyword dimension processing is reduced by the principal component analysis and the tourism price index model is constructed by using the extracted main component information.The results show that compared with traditional data,network search data has certain timeliness,and at the same time,the macroeconomic index and supply and demand index jointly influence tourism consumption price index,and the supply and demand index on tourism consumer price index is greater,and the effect is better to build tourism price index in reflecting the tourism price level trend and structure based on network search data.

关 键 词：旅游消费价格指数 网络搜索数据 均衡价格理论 主成分分析 

分 类 号：F726[经济管理—产业经济]