| 我国产业结构高级化的时空演变特征及驱动因素分析 |
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| 引用本文：王志富,孙艳,徐爱萍.我国产业结构高级化的时空演变特征及驱动因素分析[J].上海第二工业大学(中文版),2025,42(1):84-93 |
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| 中文摘要:基于2013—2022 年我国31 个省份的面板数据, 运用核密度估计、ArcGIS 可视化图和地理探测器模型, 探究我国产业结构高级化的时空演变特征及其驱动因子。研究表明: 我国产业结构高级化随着时间推移, 总体表现为不断优化的趋势, ① 呈现出东西方向上的“东高西低” 和南北方向上的“中间高, 两端低” 演变特征; ② 多数省份在地理空间上显著表现为“高值聚集” 与“低值聚集” 的态势, 显示出强烈的空间正相关性, 高级化水平在研究期内变化趋势相对稳定; ③ 受到政府干预程度、对外开放、金融发展水平和城镇化水平等因素的显著影响, 其中金融发展水平的影响驱动力逐年增强。 |
| 中文关键词:产业结构高级化 时空演变 驱动因素 |
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| Spatial-Temporal Pattern and Influencing Factors of County Industrial Structure Upgrade in China |
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| Abstract:Based on the panel data of 31 provinces in China from 2013 to 2022, kernel density estimation, ArcGIS visualization maps, and the geographical detector model are used to explore the spatio-temporal evolution characteristics and driving factors of the upgrading of China’s industrial structure. The research shows that with the passage of time, the upgrading of China’s industrial structure generally shows a trend of continuous optimization. ① It presents the evolution characteristics of “higher in the east and lower in the west” in the east-west direction and “higher in the middle and lower at both ends” in the north-south direction; ② Most provinces significantly exhibit the situations of “high-value clustering” and “low-value clustering” in the geographical space, showing a strong positive spatial correlation, and the level of upgrading has a relatively stable changing trend during the research period; ③ It is significantly affected by factors such as the degree of government intervention, opening up to the outside world, the level of financial development, and the level of urbanization. Among them, the influencing driving force of the level of financial development has been increasing year by year. |
| keywords:industrial structure upgrade spatial-temporal pattern influencing factors |
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