Structure characteristics of spatial correlation network of industrial digitalization

Yang Liu, Jing-ning Cheng, Wanqin Zhao, Jingjing Dai
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引用次数: 0

Abstract

This study aims to reveal the spatial correlation effects of the digitization of regional industries. This study uses machine learning and text quantification to construct a digital index of listed companies in China's traditional industries, and to perform regional clustering. Based on the industrial digital development index from 2008 to 2021, this study choose representative annual features to fully demonstrate the spatial aggregation of digital industrial development. The findings of this paper provide the digital core position and the cohesive subgroups in different regions of China. Beijing, Shanghai, and their surrounding provinces are in the total core area of the spatial connection network of digital industrial development, while most of the provinces in the western region are in the absolute edge area, forming a typical distribution trend of "strong in the east and weak in the west."
工业数字化空间关联网络的结构特征
本研究旨在揭示区域产业数字化的空间关联效应。本研究运用机器学习和文本量化技术构建中国传统行业上市公司数字指数,并进行区域聚类。基于2008 - 2021年的产业数字化发展指数,选取具有代表性的年度特征,充分展示数字产业发展的空间集聚性。本文的研究结果提供了中国不同地区的数字核心位置和凝聚力亚群。北京、上海及其周边省份处于数字产业发展空间连接网络的总核心区,而西部地区大部分省份处于绝对边缘区域,形成了典型的“东强西弱”的分布趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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