中国经济问题

中国经济问题 ›› 2026›› Issue (03): 167-.

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数据要素三维驱动经济增长的协同机制与倍增效应——基于数据价值链微观基础的内生增长模型

  

  • 出版日期:2026-05-20 发布日期:2026-07-27

Synergistic Mechanisms and Synergistic Multiplier Effects of the“Three-Dimensional Drive" of Data Factors on Economic Growth: An Endogenous Growth Model Based on the Micro-Foundations of the Data Value Chain

  • Online:2026-05-20 Published:2026-07-27

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摘要： 本文构建了一个包含数据价值链微观基础的多部门内生增长模型，从理论上揭示了数据是如何通过要素积累、技术进步与经济结构转型三大机制的协同作用，对经济增长产生倍增效应的。研究发现：（1）三大机制的协同作用贡献了约1.73个百分点的额外增长率，贡献率达31.1%，构成了显著的产出倍增效应；（2）结构转型（贡献率29.1%）与技术进步（贡献率21.8%）是主要驱动力，但仅靠单一机制无法解释中国数字经济的高速增长，机制间的正反馈循环才是关键。这为理解中国数字经济的增长动力和制定相关政策提供了新的理论视角和量化依据。

关键词: 数据要素, 经济增长, 协同机制, 倍增效应, 数据价值链

Abstract: This paper constructs a multi-sector endogenous growth model with a micro foundation of the data value chain. Theoretically, it reveals how data, through the synergistic effects of three mechanisms—accumulation of factors, promotion of technological progress, and driving of economic structural transformation, multiplies the effect on economic growth. The study finds that: (1) the synergistic interplay of the three mechanisms contributes approximately 1.73 percentage points of additional growth rate, accounting for 31.1% of the total endogenous growth dynamics, thereby constituting a significant output synergistic multiplier result; and (2) among individual mechanisms, structural transformation (29.1%) and technological progress (21.8%) are the primary drivers, yet relying solely on any single mechanism cannot explain the high-speed growth of China’s digital economy; the positive feedback loop among the mechanisms is key. This provides a new theoretical perspective and quantitative basis for understanding the growth dynamics of China’s digital economy and for formulating relevant policies.

Key words: data factor, economic growth, synergistic mechanism, synergistic multiplier effect, data value chain