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。
This paper uses method of social network analysis（SNA）and quadratic assignment procedure（QAP）to research the spatial correlation network structure of provincial poverty population in China and its determinants.The results show that：first,provincial rural poverty population presents spatial correlation network structure;second,there are differences of betweenness centrality and existence of unbalanced features,including playing a role of ＂bridge＂ and ＂intermediary＂,play a role of ＂net beneficial＂,play a role of ＂bidirectional spillover＂,play a role of ＂ broker＂,playing a role of ＂ net spillover＂.The factors which are spatial adjacency relations,the difference of gross domestic product and the difference of local public expenditure play a significant influence on China rural poverty population＇s spatial connection relationship.The difference of per capita disposable income of household and proportion of urban population affect the spatial correlation relationship to some extent.
出处
《统计与信息论坛》
CSSCI
北大核心
2017年第12期52-57,共6页
Journal of Statistics and Information
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)
关键词
农村贫困人口
空间关联
社会网络分析
QAP方法
rural poverty population
spatial correlation
social network analysis
method of quadratic assignment procedure
