中国新质生产力发展水平的时空分析与 空间关联网络结构演化
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Spatiotemporal Analysis and Evolution of the Spatial Correlation Network of New Quality Productive Forces Development in China
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    摘要:

    发展新质生产力是推动高质量发展的内在要求和重要举措,通过对新质生产力内涵特征与实 践路径的研究,系统设计新质生产力评价指标体系,便于把握我国新质生产力发展的现实基础与时空特 征,进而加快新质生产力的培育。 本文基于 2013—2022 年中国 30 个省区(不包括西藏及港澳台地区)的 面板数据,运用熵值法测度中国省级新质生产力水平,并采用 Dagum 基尼系数、Kernel 密度估计、传统与 空间马尔可夫链模型、引力修正模型、社会网络分析等方法进一步探究我国新质生产力的时空特征与区 域差异。 结果表明:我国新质生产力发展整体处于测算值呈现时间序列的递增态势;我国新质生产力演 变具有区域异质性特征,表现为发展的不平衡性,其排序为:东部地区>西部地区>中部地区>东北地区; 我国新质生产力发展水平差距处于不断扩大的态势;我国新质生产力的演进始终保持着向前推进状态, 且存在俱乐部趋同现象和空间溢出效应;新质生产力网络集聚性持续增强;区域功能分化明显:东部形成 “核心—边缘”结构,中西部通过外向合作补足资源,广东等枢纽节点作用突出,西部展现出政策驱动的 “远程直达”能力,共同推动多中心网络形成。

    Abstract:

    Developing new quality productive forces is both an inherent requirement and a crucial measure for advancing high-quality development. By examining the connotations, characteristics, and practical pathways of new quality productive forces, this study systematically designs an evaluation index system for new quality productive forces to better understand the realistic foundation and spatiotemporal characteristics of new quality productive forces development in China, so as to facilitate the cultivation of new quality productive forces. Based on panel data from 30 Chinese provinces (excluding Tibet, Hong Kong, Macao, and Taiwan) from 2013 to 2022, this paper applies the entropy method to measure the inter-provincial levels of new quality productive forces in China. It further employs Dagum Gini coefficients, kernel density estimation, traditional and spatial Markov chain models, a modified gravity model, and social network analysis to investigate the spatiotemporal features and regional disparities of China’s new quality productive forces. The results indicate: (1) The overall development level of China’ s new quality productive forces shows an increasing trend over time. ( 2) The evolution of new quality productive forces in China exhibits regional heterogeneity, which is characterized by imbalanced development. The ranking of development levels is: Eastern Region > Western Region > Central Region>Northeastern Region. (3) Disparities in the development level of new quality productive forces across China continue to widen. (4) The evolution of new quality productive forces in China consistently advances forward, demonstrating club convergence and spatial spillover effects. (5) The network agglomeration of new quality productive forces continuously strengthens. (6) Clear regional functional differentiation emerges: the eastern region forms a “ core-periphery” structure; central and western regions complement resources through external cooperation; hub nodes such as Guangdong play prominent roles; and the western region demonstrates policy-driven “long-range direct access” capabilities. Together, these dynamics are fostering the formation of a polycentric network.

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陈义安, 易千琳.中国新质生产力发展水平的时空分析与 空间关联网络结构演化[J].重庆工商大学社会科学版,2026,43(2):54-67

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  • 在线发布日期: 2026-04-14