中国制造业数字化转型评价及影响因素研究——基于模糊集定性比较分析

The evaluation and influencing factors of digital transformation of manufacturing industry in China——Based on qualitative comparative analysis of fuzzy set

摘要:

数字经济背景下,科学衡量我国区域制造业数字化转型程度并深入探讨数字化转型的关键因素和主要驱动路径对于区域制造业数字化转型升级、高质量发展至关重要。本文从数字化技术转型、数字化创新能力转型和数字化效益转型三方面构建了制造业数字化转型评价指标体系,并将改进熵权法和灰色关联模型相结合,对各省制造业数字化转型程度进行评价；在此基础上,运用模糊集定性比较分析(fsQCA)法,从技术、市场、政府三个维度的“组态效应”研究数字化转型的路径选择。研究发现：中国制造业数字化转型区域发展不平衡,但总体仍遵循东、中、西梯度空间分布格局。各地区制造业数字化转型程度高的驱动路径有5条,可将其归纳为资源导向型和市场导向型两种模式。研究结果揭示了制造业数字化转型背后的多重因素间复杂本质,为制造业数字化转型提供了实践启示。

Abstract:

Under the background of digital economy, scientific measurement of the degree of digital transformation of China"s regional manufacturing industry and in-depth discussion of the key factors and driving paths of digital transformation are very important for the digital transformation, upgrading and high-quality development of regional manufacturing industry. This paper constructs the evaluation index system of digital transformation of manufacturing industry from three aspects: the transformation of digital technology, digital innovation ability and digital benefit and then evaluates it by combining the improved entropy weight method and gray correlation model. On this basis, fuzzy set qualitative comparative analysis (fsqca) is used to study the path choice of digital transformation from the "configuration effect" of technology, market and government. It is found that the regional development of China"s manufacturing digital transformation is unbalanced, but it still follows the gradient spatial distribution pattern of East, middle and West. There are five driving paths for the high degree of digital transformation of manufacturing industry in China, which can be summarized into two adaptation modes: resource-oriented and market-oriented transformation, while there are four paths for the low degree of digital transformation. The conclusion of this study is helpful to reveal the complex interactive nature of multiple factors behind the digital transformation of manufacturing industry, and bring beneficial practical enlightenment and policy suggestions for the digital transformation of China"s manufacturing industry.