| 基于主成分分析的黑龙江省城市旅游竞争力研究 |
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| 引用本文： | 于安静,李悦铮,江海旭.基于主成分分析的黑龙江省城市旅游竞争力研究[J].经济研究导刊,2014(18):236-240. |
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| 作者姓名： | 于安静 李悦铮 江海旭 |
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| 作者单位： | [1]辽宁师范大学城市与环境学院,辽宁大连116029 [2]辽宁师范大学海洋经济与可持续发展研究中心,辽宁大连116029 [3]辽宁对外经贸学院国际商学院,辽宁大连116052 |
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| 摘 要： | 近年来,国内外旅游业发展竞争激烈,黑龙江省旅游业发展迅速,旅游收入也在稳步增长,但与国内其他旅游强省相比仍有较大差距。研究城市旅游竞争力,评价城市旅游发展的现状和潜力,为城市更好地参与国内外旅游竞争提供重要依据,通过构建城市旅游竞争力评价指标体系,运用主成分分析法对黑龙江省12地市旅游竞争力进行评价,并针对聚类分析结果提出相应发展建议。
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| 关 键 词： | 旅游竞争力 主成分分析 聚类分析 黑龙江省 |
Research on the Urban Tourism Competitiveness in Heilongjiang Province Based on Principal Component Analysis |
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| YU An-jing,LI Yue-zheng,JIANG Hai-xu.Research on the Urban Tourism Competitiveness in Heilongjiang Province Based on Principal Component Analysis[J].Economic Research Guide,2014(18):236-240. |
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| Authors: | YU An-jing LI Yue-zheng JIANG Hai-xu |
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| Institution: | 1.School of Urban and Environmental Sciences, Liaoning Normal University, Dalian 116029, China;2.Key Research Institute of Humanities and Social Sciences at Universities-Center for Studies of Marine Economy and Sustainable Development, Liaoning Normal University, Dalian 116029, China; 3.School of International Business, Liaoning University of International Business and Economics, Dalian 116052, China) |
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| Abstract: | In recent years,the domestic and foreign tourism industry competition is fierce,the tourism industry in Heilongjiang Province has developed rapidly,and the tourism revenue has been growing steadily.But there still is a gap with other tourism strong province.A research on urban tourism competitiveness,it can evaluate the current situation and potential of the city tourism development,it can provide important basis for urban to participate the tourism competition.This paper constructs the tourism competitiveness evaluation index system,using the Principal Component Analysis （PCA） to evaluate the tourism competitiveness of 12 cities in Heilongjiang province ,and development suggestions are put forward based on the results of clustering analysis. |
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| Keywords: | tourism competitiveness principal component analysis clustering analysis Heilongjiang Province |
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