摘要
本文引入空间统计学的相关方法来分析我国旅游业发展的差异性问题.首先选取若干反映旅游业发展水平的指标,利用因子分析法来综合评价我国31个省、直辖市和自治区旅游业整体的发展水平.然后基于因子分析得到的"因子得分",通过绘制我国旅游业发展水平的分位图来直观地表现和分析2009年我国旅游业发展水平的差异问题。接着,从旅游资源、旅游交通、旅游接待设施以及旅游服务等方面选择了影响我国旅游业发展的9个指标,分别构建普通线性回归模型和空间自回归模型来分析造成这种发展差异的关键影响因素。同时,根据分析结果提出促进我国旅游业发展的对策建议.
In this paper, we focus on the spatial disparity of the tourism development in china oasea on the spatial statistics. First we select a number of indicators reflecting the level of tourism development, and use the factor analysis to obtain a comprehensive evaluation value of the overall level of tourism development for 31 provinces, municipalities and autonomous regions. Then, based on the ＇factor score＇, we draw the Sub-bitmapto express intuitively and analyze the spatial disparity of the tourism development among China＇s 31 provincial regions in 2009. After that, we choose 9 indicators considering the tourism resources, tourism transportation, tourism reception facilities and tourism services, and use the ordinary linear regression model and the spatial autocorrelation model respectively to analyze the essential factors which lead to spatial disparity. Finally, we give some proposals on the promotion of China＇s tourism development according to the above analysis.
出处
《数理统计与管理》
CSSCI
北大核心
2014年第1期138-146,共9页
Journal of Applied Statistics and Management
基金
教育部人文社会科学研究规划基金(10YJA630020)
国家自然科学基金(11071120)
关键词
旅游业
因子分析
空间差异
空间自相关
空间误差模型
tourism, factor analysis, spatial disparity, spatial autocorrelation, spatial error model
