数字化转型
产业组织
业务
利润(经济学)
制造工程
转化(遗传学)
质量管理
制造业
过程管理
工程类
计算机科学
营销
经济
微观经济学
生物化学
化学
万维网
基因
服务(商务)
作者
Lan Li,Yuping Li,Yu Xiang
标识
DOI:10.2478/amns-2024-2858
摘要
Abstract Digital transformation is the engine to promote the high-quality development of the advanced manufacturing industry. This paper constructs a measurement model for the development level of digital transformation in the advanced manufacturing industry and proposes a measurement method for the development level of digital economy and digital transformation in the advanced manufacturing industry. The data are preprocessed through text mining, the vertical and horizontal pull-out grade method is used to determine the weights and calculate the final measurement value, and the time weights are obtained with the help of the nonlinear programming method to realize the measurement of the development level of the digital economy. Use the maximum-minimum value method to process the data related to digital transformation, utilize the entropy value method to calculate the index weights, and calculate the digital transformation development level through the linear weighting function method. The representative provinces of each region are selected to analyze the digital transformation of the advanced manufacturing industry in the east, middle, and west regions of China. The composite index of the digital economy development level in the East, Central, and West is 0.62, 0.45, and 0.37, respectively. The value of the digital transformation development level of Guangdong, Shandong, and Sichuan in 2023 reaches 0.9857, 0.3949, and 0.3747, respectively, ranking in the top three, whereas Jilin and Guizhou are only 0.1479 and 0.1128, and the level of digitalization of China’s advanced manufacturing industry is marked by obvious geographical imbalance.
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