基本公共服务均等化视角下我国体育场地公共体育服务供给水平评价研究

Research on the Evaluation of the Supply Level of Sports Venues from the Perspective of Equalization of Basic Public Services in China

从基本公共服务均等化的视角,构建我国体育场地公共体育服务供给水平评价指标体系,运用熵值法评价我国体育场地公共体育服务单要素供给水平和公共体育服务供给综合水平,并运用探索性空间数据分析方法分析我国体育场地公共体育服务供给综合水平和单要素供给水平的空间分布特征。研究结果表明:我国体育场地在城乡规模、经营模式多元化程度、面向社会开放程度和大型体育活动承接次数4个方面的空间差异显著。公共体育服务供给综合水平评价值显示,我国体育场地公共体育服务供给水平为东部地区最强,中部地区次之。探索性空间数据分析结果显示,我国体育场地公共体育服务供给综合水平的空间相关性较强,呈现出东南沿海地区高-高集聚逐步过渡到西北地区低-低集聚的空间分布特征。单要素探索性空间数据分析结果显示,城镇体育场地数量、自主经营的体育场地数量占同类比、不开放率、部分时段开放率、全天开放率、承接全国性及以上体育赛事次数具有空间相关性特征,表现为空间正自相关。而乡村体育场地数量、合作经营的体育场地数量占同类比、委托经营的体育场地数量占同类比、省级及以下体育赛事承接次数和其他活动承接次数全局自相关Moran’s I指数没有通过显著性检验,呈现为空间离散分布,体育场地公共体育服务单要素供给水平在省域间呈现随机分布。

This paper constructs an evaluation index system for the supply level of sports venues in China from the perspective of the equalization of basic public service,and uses the entropy method to measure the single factor supply level and comprehensive public service supply level of sports venues in China.The exploratory spatial data analysis method is used to analyze the geographic and spatial distribution differences of the comprehensive public service supply level and single factor supply level of sports venues in China.The research results show that China’s sports venues have significant geographical and spatial differences in terms of urban and rural scale,the degree of diversification of business models,the degree of openness to society,and the number of large-scale sports organizations.The evaluation value of the comprehensive public service supply level shows that the sports field supply level in China is the strongest in the eastern region,followed by the central region.The results of exploratory spatial data analysis show that the spatial and spatial correlation of the comprehensive public service supply level of sports venues in China is relatively strong,presenting a gradual transition from the high-gathering area in the southeast coast of China to the low-gathering area in the northwest.The analysis results of single-factor exploratory spatial data show that the number of urban sports venues,the proportion of self-employed businesses occupying the same ratio,non-opening rate,part-time opening rate,all-day opening rate,and the number of sports events nationwide and above have geospatial correlation characteristics,which appears as positive geospatial autocorrelation.The global autocorrelation Moran’s I index of the number of rural sports venues,the ratio of cooperative operations to the same ratio,the ratio of commissioned operations to the same ratio,and the number of undertakings of provincial and below sports events and other activities did not pass the significance test.Service supply factors are randomly distributed across provinces.