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数字化与传统产业升级的时空耦合协调及互动——以黄河流域为例

Spatial-temporal coupling coordination and interaction between digitalization and traditional industrial upgrading: a case study of the Yellow River Basin.

作者信息

Wang Manman, Zhu Xiaoya, Yin Shi

机构信息

College of Economics and Management, Zhengzhou University of Light Industry, Zhengzhou, 450001, China.

School of Politics and Public Administration, Soochow University, Suzhou, Jiangsu, China.

出版信息

Sci Rep. 2023 Oct 21;13(1):17997. doi: 10.1038/s41598-023-44995-7.

Abstract

The realization of coupling coordination between digitalization and traditional industrial upgrading in the Yellow River Basin holds significant practical value for promoting high-quality industrial development in the region. In order to assess this coupling coordination, we utilized inter-provincial panel data from nine provinces in the Yellow River Basin, covering the period from 2011 to 2020. Through the application of a coupling coordination degree model, we calculated the degree of coupling coordination and relative development between digitalization and traditional industrial upgrading. Additionally, we conducted a spatial-temporal analysis to identify the characteristics and trends of digitalization and traditional industrial upgrading. Furthermore, we constructed a panel VAR model to examine the interactive relationship between these two factors. The findings are as follows: (1) overall, over the study period, the degree of coupling coordination between digitalization and traditional industrial upgrading in the Yellow River Basin transitioned from a disordered state to a run-in stage. The corresponding development type changed from a low steady state to a co-existence of low and medium steady states. Notably, the levels of digitalization, traditional industrial upgrading, and coupling coordination all exhibited a gradual increase, while the relative development degree declined. (2) The coupling coordination degree between digitalization and traditional industrial upgrading in the Yellow River Basin demonstrated significant regional variation. Provinces displaying a "high-high" agglomeration distribution and "low-low" agglomeration distribution were concentrated in the middle and lower reaches, as well as the upper reaches, of the Yellow River. Furthermore, there was a positive spatial autocorrelation between these regions. (3) Both digitalization and traditional industrial upgrading exhibit self-reinforcing mechanisms, and a long-term dynamic correlation exists between them.

摘要

黄河流域数字化与传统产业升级耦合协调的实现,对推动该区域产业高质量发展具有重要现实意义。为评估这种耦合协调情况,我们利用了黄河流域九省2011 - 2020年的省际面板数据。通过应用耦合协调度模型,计算了数字化与传统产业升级之间的耦合协调度和相对发展度。此外,我们进行了时空分析,以识别数字化与传统产业升级的特征和趋势。再者,我们构建了面板向量自回归(VAR)模型来考察这两个因素之间的互动关系。研究结果如下:(1)总体而言,在研究期间,黄河流域数字化与传统产业升级的耦合协调度从无序状态转变为磨合阶段。相应的发展类型从低稳态转变为低稳态与中稳态并存。值得注意的是,数字化水平、传统产业升级水平和耦合协调度均呈现逐渐上升趋势,而相对发展度则下降。(2)黄河流域数字化与传统产业升级的耦合协调度存在显著的区域差异。呈现“高高”集聚分布和“低低”集聚分布的省份集中在黄河中下游以及上游地区。此外,这些区域之间存在正的空间自相关性。(3)数字化和传统产业升级均呈现自我强化机制,且二者之间存在长期动态相关性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3126/10590412/0a90e552822a/41598_2023_44995_Fig1_HTML.jpg

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