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数字经济赋能下中国传统制造业的协同度测度及转化路径。

The synergy degree measurement and transformation path of China's traditional manufacturing industry enabled by digital economy.

机构信息

Management School, Hangzhou Dianzi University, Hangzhou 310018, China.

出版信息

Math Biosci Eng. 2022 Apr 2;19(6):5738-5753. doi: 10.3934/mbe.2022268.

DOI:10.3934/mbe.2022268
PMID:35603376
Abstract

With the development of science and technology, digital economy has penetrated into traditional manufacturing industry extensively and deeply, which has motivated the progress of the digital transformation for traditional manufacturing industry. Through comparative analysis of theoretical mechanism of synergetic development, this paper researches the order degree model and the synergy degree model based on the social shaping of technology theory to evaluate the synergetic degree of the digital transformation for China's traditional manufacturing industry. An empirical study is presented based on the proposed models and the spatial analysis method by using the statistical data of Yangtze River Delta in China from 2014 to 2019. The results were consistent with the actual situation and indicated that the model fully reflect the dynamic interaction between systems, which is a sound basis for scientific judgment and effective decision-making when seeking to the digital transformation of traditional manufacturing industry.

摘要

随着科学技术的发展,数字经济已经广泛而深入地渗透到传统制造业中,推动了传统制造业的数字化转型进程。通过对协同发展理论机制的比较分析,本文基于技术的社会形塑理论研究了中国传统制造业数字化转型的序参量模型和协同度模型,以评估其协同度。基于所提出的模型和空间分析方法,利用中国长三角地区 2014 年至 2019 年的统计数据进行了实证研究。结果与实际情况相符,表明该模型充分反映了系统之间的动态相互作用,为寻求传统制造业的数字化转型提供了科学判断和有效决策的坚实基础。

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