摘要
系统收集了2005年的相关数据,采用主成分分析法对我国31个省区交通运输业与旅游业的综合实力进行了评价,在此基础上,采用最小二乘法对交通运输业与旅游业之间的关系进行了分析,并建立了相关模型.结果显示:①按交通运输业综合得分,我国31个省区可以分为3个档次,其中,广东、山东、江苏等10个省(市)为得分最高的第1档次;四川、湖南、黑龙江等11个省区为得分较高的第2个档次;江西、广西、重庆等10个省区为得分最低的第3个档次;②按旅游业综合实力得分,可以将31个省区划分为3个档次,其中,广东、江苏、浙江、北京和山东为得分最高的第1档次;上海、辽宁、等为得分较高的第2个档次;福建、安徽、黑龙江等为得分最低的第3个档次;③旅游业综合实力得分的交通运输业弹性系数为0.9466,旅游业综合实力排名的交通运输业弹性系数为0.9468.
Relevant data of the year 2005, are collected and comprehensive strength of transport industry and the tourism industry are evaluated by the method of principal component. Based on this, the relationship between transportation and tourism is analyzed by the least square method, and the relevant model is established. Result shows that: ①31 provinces can be divided into three grades according to comprehensive score of transport industry. First grade includes 10 provinces (cities), such as Guangdong, Shandong, Jiangsu and so on; Second grade includes 11 provinces, such as Sichuan, Hunan, Heilongjiang and so on; Third grade includes 10 provinces, such as Jiangxi, Guangxi, Chongqing and so on;②31 provinces can be divided into three grades according to comprehensive score of tourism industry. First grade includes Guangdong, Jiangsu, Zhejiang, Beijing and Shandong; Second grade includes Shanghai, Liaoning and so on; Third grade includes Fujian, Anhui, Heilongjiang and so on; ③The elasticity of transport industry to tourism comprehensive strength score is 0. 9466, the elasticity of transport industry to tourism comprehensive strength rank is 0. 9468.
出处
《辽宁师范大学学报(自然科学版)》
CAS
2009年第3期386-390,共5页
Journal of Liaoning Normal University:Natural Science Edition
基金
国家自然科学基金资助项目(4057115440471119)
关键词
交通运输
旅游
综合实力
主成分分析
相关分析
Transportation
tourism
comprehensive strength
principal components analysis
relative analysis