排序方式： 共有3条查询结果，搜索用时 15 毫秒
1
1.
基于2017年流动人口动态监测调查数据,分析了中国城市流动人口心理融入的区域差异和影响因素。结果表明：① 流动人口心理融入处于较高水平;② 流动人口心理融入区域差异显著。东南沿海及少数西部城市心理融入低于全国平均水平,东北、山东和川渝等地区心理融入高于全国平均水平;③ 流动人口心理融入存在空间集聚效应。除川渝地区外,热点区集中于北方地区,冷点区集中于东南地区。④ 拥有房产、雇主身份和较高受教育水平加快流动人口的心理融入;工资收入的增加不利于心理融入,这与相对剥夺感有关;参与“新农合”对流动人口心理融入具有约束效应;暂住证/居住证及基本公共服务均等化是实现心理融入的重要途径。城市经济快速发展利于流动人口心理融入。跨省流动存在抑制作用,经济发展水平、家庭规模和本地居留时间的作用不显著。 相似文献
2.
利用2010年、2014年和2018年中国西部上市公司总部–境外子公司数据,运用社会网络分析法和位序-规模分析法探索中国西部跨境城市网络的空间结构,运用邓宁的国际生产折衷理论分析其影响因素。研究表明：① 中国西部跨境城市网络呈现出最大联系极化、联系广度分散化的特征,形成了以成都-香港、重庆-香港、成都-珀斯、西安-香港、成都-新加坡城市对为主要联系路径的层级网络结构。② 网络中重要的节点城市数量逐渐增加,呈现出多中心结构特征,出度网络中心性较强的城市有明显的行政中心指向、技术创新指向、工业基础指向、资源指向和对外开放指向;入度网络中心性较强的城市有明显的门户指向、技术创新指向、金融中心指向和战略政策指向。③ 网络结构的演变符合位序-规模法则。出度网络和入度网络中首位城市的中心性逐渐增强,且出度网络和入度网络均经历了相对均衡–相对集中–集中的发展过程。④ 所有权优势是上市公司跨境投资的基本前提,结合区位优势共同影响上市公司投资区位选择,内部化优势起到巩固东道国与母国联系强度的作用,三大优势随时间的变化,影响了中国西部跨境城市网络的空间结构。 相似文献
3.
This paper analyses the features and dynamic changes of the spatial layout of air transportation utilization among different provinces in China. It makes use of data for the airport throughput and socio-economic development of every province throughout the country in the years 2006 and 2015, and employs airport passenger and cargo throughput per capita and per unit of GDP as measures of regional air transportation utilization, which is significant for refining indicators of regional air transportation scale and comparing against them. It also analyzes the spatial differences of coupling between the regional air transportation utilization indicators and the key influencing factors on regional air transportation demand and utilization, which include per capita GDP, urbanization rate, and population density. Based on these key influencing factors, it establishes a multiple linear regression model to conduct forecasting of each province's future airport passenger and cargo throughput as well as throughput growth rates. The findings of the study are as follows:(1) Between 2006 and 2015, every province throughout the country showed a trend of year on year growth in their airport passenger and cargo throughput per capita. Throughput per capita grew fastest in Hebei, with a rise of 780%, and slowest in Beijing, with a rise of 38%. Throughput per capita was relatively high in western and southeastern coastal regions, and relatively low in northern and central regions. Airport passenger and cargo throughput per unit of GDP showed growth in provinces with relatively slow economic development, and showed negative growth in provinces with relatively rapid economic development. Throughput per unit of GDP grew fastest in Hebei, rising 265% between 2006 and 2015, and Hunan had the fastest negative growth, with a fall of 44% in the same period. Southwestern regions had relatively high throughput per unit of GDP, while in central, northern, and northeastern regions it was relatively low.(2) Strong correlation exists between airport passenger and cargo throughput per capita and per capita GDP, urbanization rate, and population density. Throughput per capita has positive correlation with per capita GDP and urbanization rate in all regions, and positive correlation with population density in most regions. Meanwhile, there is weak correlation between airport passenger and cargo throughput per unit of GDP and per capita GDP, urbanization rate, and population density, with positive correlation in some regions and negative correlation in others.(3) Between 2015 and 2025, it is estimated that all provinces experience a trend of rapid growth in their airport passenger and cargo throughput. Inner Mongolia and Hebei will see the fastest growth, rising221% and 155%, respectively, while Yunnan, Sichuan, and Hubei will see the slowest growth, with increases of 62%, 63%, and 65%, respectively. 相似文献
1