中国农村贫困人口的空间关联网络结构特征及其影响因素研究

发布时间：2018-11-05 16:43

【摘要】：基于社会网络分析方法(SNA)和二次指派程序(QAP)方法,对中国省际农村贫困人口空间关联的网络结构特征及其影响因素进行研究。研究发现:省际贫困人口的空间关联呈现网络结构形态,各省份的中间中心度不同,存在非均衡的特征;空间聚类结构中,划分为净受益、双向溢出、经纪人和净溢出四大板块,板块成员个数差异较大,并呈现区位特征。从空间关联影响因素的QAP回归分析结果可知,空间邻接关系、地区GDP差异和地方公共财政支出差异对农村贫困人口空间关联关系产生了显著影响,城镇居民家庭人均可支配收入差异、城镇人口比重差异在一定程度上影响着空间关联关系。
[Abstract]:Based on the social network analysis method (SNA) and the quadratic assignment program (QAP) method, the network structure characteristics and influencing factors of spatial correlation among rural poor population in China are studied. It is found that the spatial correlation of the poor population in different provinces presents the form of network structure, the central degree of each province is different, and the characteristics of disequilibrium exist. The spatial clustering structure is divided into four parts: net benefit, two-way spillover, broker and net spillover. From the QAP regression analysis results of spatial correlation factors, it can be seen that spatial adjacent relationship, regional GDP difference and local public expenditure difference have a significant impact on the spatial correlation of rural poor population. The difference of per capita disposable income of urban households and the proportion of urban population influence the spatial correlation to some extent.
【作者单位】：安徽工业大学商学院;
【基金】：国家社会科学基金项目《包容性增长的实现路径研究》(11CJL001) 安徽省社会科学创新发展研究课题《安徽省供给侧改革实施路径研究》(2016CX010)
【分类号】：C924.2

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