中国省际居民生计资本的网络结构及影响因素

Network Structure and Influencing Factors of Inter-provincial Residents’Livelihood Capital in China

深化省际民生领域间的交流与合作是促进我国经济高质量发展的必然举措。基于可持续生计分析框架,运用改进的熵值法测度中国省际2005—2018年居民生计资本,并采用修正的引力模型和社会网络分析法探析中国省际居民生计资本的空间网络结构特征及其影响因素。结果表明:①研究期内,中国省际居民生计资本值呈上升趋势,但区域差异显著,东部地区居民生计资本值高于西部地区;②中国省际居民生计资本的空间关联强度不断增大,其空间联系网络结构日趋稠密化和复杂化,但仍存在一定的层级特征;③各省份个体网络中心性指标的分异性不断敛缩,北京、上海、广东、天津等省市在居民生计资本空间关联网络中处于“中心行动者”的地位,而宁夏、青海、新疆等省区的各项网络中心性指标均排名靠后;④空间邻近关系和产业高级化差异对中国省际居民生计资本的空间关联具有显著正向影响,但经济发展水平差异和人均财政支出差异具有显著的负向影响,固定资产投资差异和人口密度差异对其影响并不显著。

Deepening inter-provincial exchanges and cooperation in the field of residents’livelihood is an inevitable measure to promote the high-quality economic development.Based on the sustainable livelihood framework,the improved entropy method is used to measure the inter-provincial residents’livelihood capital between provinces in China from 2005 to 2018.Using the modified gravity model and social network analysis method,this study analyzes the characteristics regarding network structure of inter-provincial residents’livelihood capital and its influencing factors.The results show that:1)During the study period,the livelihood capital value shows an upward trend,but the regional difference is significant.The livelihood capital value of inter-provincial residents in the eastern region is higher than that in the western region.2)The spatial correlation intensity of livelihood capital is increasing,and its spatial connection network structure is becoming denser and more complex,but it still shows the hierarchical characteristics.3)The heterogeneity of individual network centrality indicators in each province and region has been decreasing.Beijing,Shanghai,Guangdong,and Tianjin are at the center of the spatial correlation network of residents’livelihood capital,while Ningxia,Qinghai,and Xinjiang rank low in various centrality indicators.4)Spatial proximity and industrial upgrading difference have significant positive impact on the spatial correlation of livelihood capital,and the differences of economic development level and per capita fiscal expenditure have negative impact on it,while the differences of fixed asset investment and population density have no significant impact.