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城市数字经济高质量发展协同路径研究——基于技术经济范式的定性比较分析

Synergy path of the high-quality development of urban digital economy:A qualitative comparative analysis based on the techno-economic paradigm

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【作者】 夏明; 周文泳; 谢智敏;

【Author】 Xia Ming;Zhou Wenyong;Xie Zhimin;School of Economics and Management, Tongji University;

【通讯作者】 周文泳;

【机构】 同济大学经济与管理学院;

【摘要】 “十四五”时期,我国经济建设将进入高质量发展阶段,如何推动数字经济高质量发展成为我国未来经济增长方式转型升级的着力点。研究基于技术经济范式理论,以69个中国城市为例,采用模糊集定性比较分析方法(fs/QCA),探究了人力资本、金融资本、研发能力、数字基础设施、政府规模和市场规模6个条件变量对城市数字经济高质量发展的协同效应。研究结论如下:(1)人力资本、金融资本、研发能力、数字基础设施、政府规模和市场规模均不是城市高数字经济质量和非高数字经济质量产生的必要条件;(2)城市高数字经济质量的驱动路径有3条:网络-资本驱动型、人才-营商环境驱动型和研发-市场驱动型;(3)城市非高数字经济质量驱动路径有2条:网络-市场抑制型和资本-研发抑制型;(4)政府规模的影响表现出一定的非对称性,即较小的政府规模在配合充足的人力资本和较大的市场规模时有助于驱动城市高数字经济质量的形成,但当政府规模增大时却并不会显著抑制这种趋势。

【Abstract】 China′s economic construction will enter a stage of high-quality development during the "14th Five-Year Plan" period. With the vigorous development of digital technologies such as big data, blockchain, cloud computing, and artificial intelligence, and their accelerated integration with various industries, the digital economy is playing an increasingly important role in economic and social development. How to promote the high-quality development of the digital economy has become the focus of the transformation and upgrading of China′s future economic growth mode.Most existing studies focus on the impact of individual factors on the quality of the digital economy, however, as a new wave of techno-economic paradigm, the digital economy is a complex system that is influenced by a combination of multiple factors. Considering the multiple factors affecting the quality of the digital economy, such as technology, capital, facilities, institutions, and markets, as system elements, helps to comprehensively understand the synergistic effects among the influencing factors of the digital economy. Therefore, based on the paradigm theory of technology economy, this paper further extends its application in analyzing the combination of multiple factor relationships, reveals the complex mechanism of multiple factors linking to influence output, proposes an integrated analytical framework for analyzing the quality of the digital economy in cities, and introduces configuration thinking into the study of digital economy quality at the city level, takes 69 cities in China as case samples, using the fuzzy set qualitative comparative analysis method(fs/QCA) to analyze the synergistic influence mechanism of human capital, financial capital, R&D capabilities, digital infrastructure, government scale, and market scale on the high-quality development of the urban digital economy. Conclusions are as follows:(1) Human capital, financial capital, R&D capabilities, digital infrastructure, government scale, and market scale cannot individually constitute the necessary conditions for a city′s high and non-high digital economy quality, indicating that the explanatory power of single condition to the quality of the digital economy is weak;(2) There are three driving paths for the city′s high digital economy quality: network-capital driven, talent-business environment driven, and R&D-market driven;(3) There are two driving paths for urban non-high digital economy quality: network-market restraint and capital-R&D restraint;(4) The influence of the government scale shows a certain asymmetry, that is, a smaller government scale, when matched with sufficient human capital and a larger market scale, is conducive to driving the high-quality development of the urban digital economy, but a larger government scale will not significantly inhibit the development of urban digital economy.This study puts forward two policy implications as follows: on the one hand, the government should combine regional resource endowments and use a configuration approach to formulate targeted education, financial, industrial, and public policies to take advantage of policy combinations and concentrate strong regional resources to develop key core elements. On the other hand, the government should realize a shift from regulatory mindset to prudent and inclusive mindset at the level of supervision, and provide a relaxed institutional environment for the development of the digital economy while carrying out regulation in various aspects such as data asset identification, network platform governance, industry anti-monopoly, and cross-border data circulation to achieve a balance between development and compliance, competition and innovation, efficiency and fairness, and security and openness.

【基金】 科学技术部科技战略研究专项项目:“促进高质量发展的科技评价体系改革研究”(ZLY202148,2021.01—2022.12)
  • 【文献出处】 科研管理 ,Science Research Management , 编辑部邮箱 ,2023年03期
  • 【分类号】F49
  • 【下载频次】1270
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