黄河流域新质生产力水平的时空演进及障碍因子分析
- 分享到:
摘要：
在阐释新质生产力理论内涵的基础上,从数字生产力、科技生产力以及绿色生产力3个维度构建新质生产力发展评价指标体系,基于 2011-2023年黄河流域省级面板数据,综合运用熵值法、Kemmel核密度估计、Dagum基尼系数以及障碍度模型等多种方法对黄河流域新质生产力发展水平的演变特征,区域差异及障碍因子进行了测度与分析.研究发现:(1)黄河流域新质生产力发展指数呈现稳步提升的变动态势:在空间上呈现出明显的“下游一中游一上游”依次递减的分布特征;山东、四川、河南的新质生产力发展水平分别位居前3位,青海的最低;从分维度来看,科技生产力水平最高,绿色生产力水平最低.(2)黄河流域各地区新质生产力发展水平虽两极分化有所缓解,但区域内差异仍然存在;各区域间差异是导致黄河流域新质生产力发展不均衡的主要原因.(3)软件开发、废气治理、技术成果分别是影响黄河流域数字生产力、绿色生产力和科技生产力的主要障碍因子。
Based on the explanation of the theoretical connotation of new quality productive forces, an evaluation index system for the development of new quality productive forces is constructed from three dimensions:digital productivity, technological produetivity, and green productivity. Based on provincial panel data from the Yellow River Basin from 2011 to 2023. various methods such as entropy method, Kernel density estimation, Dagum Gini coefficient, and obstacle model are comprehensively used to measure and analyze the evolution characteristics, regional differences, and obstacle factors of the development level of new quality productive forces in the Yellow River Basin, Research has found. (1)the development index of new quality productive forces in the Yellow River Basin shows a steady upward trend; there is a clear decreasing distribution pattern of downstream midstream upstream in space: the development level of new quality productive forces in Shandong, Sichuan, and Henan ranks among the top three, while Qinghai Province having the lowest level; from a multidimensional perspective, the level of technological productivity is the highest and the level of green productivity lowest, (2) Although the polarization of the development level of new quality produetivity in various regions of the Yellow River Basin has been alleviated. regional differare the main reason for the uneven development of new quality productivity inences stil exist:The differences between regions are the main reason for the uneven development of new quality productivity in the Yellow River Basin.(3)Softwaredevelopment,exhaust gas treatment.and technological achievements are the main obstacles affecting digital productivity,green productivity, and technological productivity in the Yellow River Basin, respectively.
作者:
黎文勇，杨子顺
Li Wenyong，Yang Zishun
机构地区：
河南师范大学 a.商学院；b.产业结构转型升级软科学研究基地
引用本文：
黎文勇，杨子顺。黄河流域新质生产力水平的时空演进及障碍因子分析[J].河南师范大学学报(自然科学版)，2025,53(5): 24-33.(Li Wenyong, Yang Zishun, Spatio-temporal evolution and obstacle factors of new quality productive forces in the Yellow River Basin[J].Journal of Henan Normal University( Natural Seienee Edition),2025,53(5):24-33.DOI:10.16366/j.cnki.1000-2367.2024.11.04.0005.)
基金：
国家社会科学基金；河南省哲学社会科学规划青年项目
关键词：
新质生产力；Kernel核密度估计；Dagum 基尼系数；障碍度模型；黄河流域
new quality productive forces; Kerel density estimation; Dagum Gini coelflicient; obstacle model; Yellow River Basin
分类号：
F061.5
