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全域数字化转型是促进经济社会高质量发展、实现中国式现代化的重要引擎,技术转移则为推进全域数字化转型提供了重要动能。采用30个省份2012—2024年的面板数据,以国家技术转移中心设立为准自然实验,基于“条件-过程-结果”三维评价指标体系测度地区全域数字化转型水平,研究发现:国家技术转移中心的设立显著推动了地区全域数字化转型,且该作用随着转型水平的提高而增强;技术转移能够通过知识溢出效应(促进知识流动、促进知识吸收、促进知识累积3条路径)推动全域数字化转型;政府公共数据平台开放、国家数字经济创新发展试验区建设、国家大数据综合试验区建设、产业结构高级化水平提高、市场化水平提高均显著强化了技术转移对全域数字化转型的推动作用,表明数字政策的实施和地区发展状态的改善发挥了正向调节作用。因此,应依托国家技术转移中心构建多层次技术转移体系,打通知识溢出渠道,增强知识流动、吸收、累积效能,并完善数字政策体系,持续推进全域数字化转型。
Abstract:As the construction of Digital China continues to deepen, comprehensive digital transformation has emerged as a key strategic direction for supporting high-quality economic and social development and advancing Chinese modernization. By applying systematic thinking, comprehensive digital transformation overcomes the limitations of single-point technological upgrades and enables the construction of a collaborative development system across regions, departments, and sectors, thereby injecting strong momentum into the construction of Digital China. However, many regions in China currently face prominent challenges such as widespread data silos, insufficient coverage of business scenarios, and weak innovation supply capacity. Relying solely on piecemeal technological breakthroughs cannot fundamentally resolve these transformation bottlenecks. Therefore, accelerating the development of an efficient and smooth technology factor circulation system has become an urgent priority. As an emerging concept, comprehensive digital transformation remains in the preliminary stage of research, with a notable lack of quantitative empirical analysis at the macro-regional level and a particular scarcity of systematic identification and examination of its influencing mechanisms. Using panel data from 30 Chinese provinces from 2012 to 2024, this study treats the establishment of National Technology Transfer Centers as a quasi-natural experiment and employs a staggered difference-in-differences (DID) model to systematically examine the impact of technology transfer on comprehensive digital transformation from a knowledge spillover perspective. It further investigates the synergistic effects of digital economy-related policies. The empirical results show the following. First, the establishment of National Technology Transfer Centers significantly enhances the level of comprehensive digital transformation in host regions and effectively alleviates the practical dilemmas of “daring not to transform, lacking the know-how to transform, and failing to transform well” that characterize the process. Second, technology transfer primarily drives this transformation through knowledge spillover effects, with knowledge flow, knowledge absorption, and knowledge accumulation serving as three transmission channels. Third, digital government policies, digital technology policies, and data factor policies all exhibit significant synergistic effects with technology transfer centers, which amplify the positive impact on comprehensive digital transformation. Fourth, the promoting effect of technology transfer on comprehensive digital transformation is more pronounced in regions with a stronger transformation foundation, a higher level of industrial structure upgrading, and a greater degree of marketization. Based on these findings, this paper proposes four policy recommendations: optimizing the spatial layout of technology transfer centers to activate transformation momentum; unblocking knowledge spillover channels to enhance the efficiency of knowledge flow, absorption, and accumulation; promoting digital policy synergy to explore new paradigms for digital governance of technology transfer; and implementing differentiated strategies to fully leverage the driving effects of these centers. Compared with existing studies, the marginal contributions of this paper are threefold. First, it constructs an indicator system for comprehensive digital transformation from a full-cycle perspective of “conditions–process–outcomes,” thereby expanding the quantitative boundaries of research in this field. Second, by using the establishment of National Technology Transfer Centers as a quasi-natural experiment, it systematically evaluates the impact of technology transfer on comprehensive digital transformation, providing both new theoretical insights and empirical evidence on the economic consequences of technology transfer. Third, from the knowledge spillover perspective, it sequentially examines the three mechanisms of knowledge flow, knowledge absorption, and knowledge accumulation, revealing the “black box” of how technology transfer empowers comprehensive digital transformation. Furthermore, it tests the synergistic empowering effects of digital economy policies from three dimensions of digital government, digital technology, and data factors, providing solid empirical support for better leveraging the role of a capable government in promoting comprehensive digital transformation in the new era.
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如伏羲智库和腾讯公司发布的《全域数字化转型评估模型研究》,针对零售行业构建了包含数字化战略、数字化应用和数据基础能力的三维评估模型;国脉研究院发布的《2024城市全域数字化转型暨第十四届智慧城市发展水平评估报告》设计了由数字化支撑力、网络化共治力、智能化引领力、一体化创新力4个一级指标、11个二级指标、31个三级指标构成的指标体系,并对104个代表性城市的全域数字化转型水平进行评估。
① 资料来源于《2023上海科技进步报告》,https://www.netcchina.com/archives/25510。
② 资料来源于中华人民共和国科学技术部,https://www.most.gov.cn/kjbgz/201501/t20150126_117914.html。
基本信息:
中图分类号:F124.3;F49
引用信息:
[1]聂长飞,程婧.技术转移、知识溢出与全域数字化转型——兼析数字政策和发展状态的调节效应[J].西部论坛().
基金信息:
国家社会科学基金重大项目(25&ZD112);国家社会科学基金青年项目(25CJY018)
2026-06-15
2026-06-15
2026-06-15