关中平原城市群新质生产力空间关联网络及影响因素研究

doi:10.12118/j.issn.1000-6060.2025.306

摘要/Abstract

摘要：

深入探究关中平原城市群新质生产力的空间关联网络及影响因素，对于促进区域可持续协同发展具有重要意义。基于熵值法对2013—2023年关中平原城市群11个地级市的新质生产力水平进行量化评估，并运用社会网络分析及二次指派程序探究其空间关联网络结构和影响因素。结果表明：（1）城市群新质生产力水平整体呈现稳步增长，但存在显著的空间异质性。（2）城市群新质生产力网络结构相对稳定，展现出明显的空间关联和溢出效应，同时具有明显的层级性特征。（3）城市群新质生产力水平呈现出“核心-边缘”结构，其中西安市和咸阳市作为核心节点，发挥着关键的中介作用。（4）工业机器人安装密度、高等教育水平、公路里程和能源强度均显著影响城市群新质生产力空间网络结构。基于此，建议通过增强政府支持、促进区域间产业分工与协作、加大高等教育资源与未来产业投入等措施，以促进关中平原城市群新质生产力的进一步提升。

关键词: 新质生产力, 空间关联网络, 社会网络分析, 关中平原城市群

Abstract:

Examining the spatial correlation network and drivers of new quality productive forces within the Guanzhong Plain urban agglomeration is essential for promoting sustainable, collaborative regional development. Using the entropy method, this study quantitatively evaluates the levels of new quality productive forces in 11 prefecture-level cities from 2013 to 2023. Social network analysis and secondary assignment procedures are used to examine the spatial association network structure and its determinants. The findings are as follows: (1) Levels of new quality productive forces have grown steadily, though significant spatial heterogeneity persists. (2) The network structure remains stable, exhibiting clear spatial associations, spillover effects, and pronounced hierarchical pattern. (3) A clear “core-periphery” structure is evident, with Xi’an and Xianyang functioning as key intermediary hubs. (4) Factors such as industrial robot density, higher education attainment, road mileage, and energy intensity significantly shape the spatial network. Based on these findings, it is recommended to strengthen government support, promote regional industrial collaboration and division of labor, and increase investments in higher education and emerging industries to further advance new quality productive forces in the Guanzhong Plain urban agglomeration.

Key words: new quality productive forces, spatial correlation network, social network analysis, Guanzhong Plain urban agglomeration

史玉芳, 赵妍, 刘欣悦. 关中平原城市群新质生产力空间关联网络及影响因素研究[J]. 干旱区地理, 2026, 49(6): 1215-1225.

SHI Yufang, ZHAO Yan, LIU Xinyue. Spatial association network of new quality productive forces and its influencing factors in the Guanzhong Plain urban agglomeration[J]. Arid Land Geography, 2026, 49(6): 1215-1225.

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目标层	准则层	指标层	指标说明	指标属性	权重
劳动者	劳动者素质	高等教育水平	普通高等院校在校人数	正	0.1240
	劳动者素质	研究与试验发展人员数	研究与试验发展人员数	正	0.1247
	劳动者技能	计算机服务和软件业从业人员占比	计算机服务和软件业从业人员数/年末总就业人员数	正	0.0875
	劳动者意识	就业理念	第三产业从业人数/总就业人数	正	0.0142
	劳动者意识	创业活跃度	每百人新创企业数	正	0.0654
	劳动者产出	人均地区生产总值	地区生产总值/常住人口	正	0.0230
	劳动者产出	人均收入	在岗职工平均工资	正	0.0182
劳动资料	传统基础设施	公路里程	公路总里程数	正	0.0121
	传统基础设施	道路面积	人均道路面积	正	0.0101
	数字基础设施	互联网渗透度	每百人互联网用户数	正	0.0220
		移动电话渗透度	每百人移动电话用户数	正	0.0711
		电信业务总量	人均电信业务总量	正	0.0489
	技术创新	绿色技术创新	绿色发明专利授权总量	正	0.1725
	技术创新	人工智能技术创新	人工智能专利授权总量	正	0.0433
劳动对象	未来产业	工业机器人安装密度	机器人数量/总人口	正	0.0386
	能源消耗	能源强度	能源消耗/地区生产总值	负	0.0106
	绿色环保	建成区绿地面积	建成区绿地面积	正	0.0969
	绿色环保	环境保护力度	环境保护支出/政府公共财产支出	正	0.0168

城市	点度中心度				接近中心度				中介中心度
城市	2013年	2016年	2019年	2023年	2013年	2016年	2019年	2023年	2013年	2016年	2019年	2023年
西安市	10	10	10	10	100.00	100.00	100.00	100.00	20.17	20.17	20.17	17.17
铜川市	4	4	4	6	62.50	62.50	62.50	62.50	0.33	0.33	0.33	0.33
宝鸡市	5	5	5	5	66.67	66.67	66.67	66.67	1.17	1.17	1.17	0.50
咸阳市	6	6	6	9	71.43	71.43	71.43	83.33	2.50	2.50	2.50	6.42
渭南市	6	6	6	6	71.43	71.43	71.43	66.67	3.33	3.33	3.33	1.00
商洛市	3	3	3	4	58.82	58.82	58.82	58.82	0.00	0.00	0.00	0.00
天水市	3	3	3	4	58.82	58.82	58.82	62.50	0.00	0.00	0.00	0.25
平凉市	4	4	4	5	62.50	62.50	62.50	62.50	0.33	0.33	0.33	0.25
庆阳市	5	5	5	5	66.67	66.67	66.67	66.67	1.17	1.17	1.17	1.08
临汾市	3	3	3	3	58.82	58.82	58.82	55.56	0.00	0.00	0.00	0.00
运城市	3	3	3	5	58.82	58.82	58.82	62.50	0.00	0.00	0.00	1.00
平均值	4.73	4.73	4.73	5.64	66.95	66.95	66.95	67.97	2.64	2.64	2.64	2.55

变量	相关系数	显著水平	标准差	最小值	最大值	P≥0	P≤0
工业机器人安装密度	0.339	0.007	0.114	-0.309	0.461	0.007	0.996
高等教育水平	0.648	0.094	0.233	-0.191	0.648	0.094	1.000
公路里程	-0.244	0.043	0.152	-0.367	0.616	0.986	0.043
能源强度	0.501	0.088	0.201	-0.233	0.745	0.088	0.970

变量	非标准化回归系数	标准化回归系数	显著性概率	概率1	概率2
工业机器人安装密度	0.258	0.286	0.002	0.002	0.998
高等教育水平	0.917	0.786	0.000	0.000	1.000
公路里程	-0.131	-0.144	0.079	0.969	0.031
能源强度	-0.268	-0.246	0.060	0.991	0.009