Economics & AI
Research on the Entropy Weight Measurement of the Contribution of Digital Economy Supported by Artificial Intelligence Computing Power to New Quality Productivity
This study analyzes the driving mechanism of the digital economy, supported by AI computing power, on new quality productivity. Using an improved entropy weight method on panel data from 30 Chinese provinces (2012-2022), it quantifies this relationship through a novel three-dimensional analytical framework: 'computing power infrastructure - activation of data elements - embedding of intelligent technologies'. The findings reveal significant economic elasticity of computing power, nonlinear effects of data element activation, and prominent regional disparities, offering strategic tools for AI computing resource allocation and intelligent productivity transformation.
Executive Impact
Understand the quantifiable impact and key statistics driving new quality productivity.
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Digital Economy GDP Contribution
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GDP Growth Contribution
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5G Base Stations (Millions)
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Industrial R&D Penetration
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
The improved entropy weight method significantly increased the calculated weight of computing power infrastructure, highlighting its enhanced importance in the new quality productivity model.
The study proposes a novel three-dimensional framework, emphasizing the sequential and interconnected roles of computing infrastructure, data activation, and intelligent technology in driving new quality productivity.
Significant regional disparities exist in the digital economy's impact on productivity, with the eastern region demonstrating higher efficiency and faster technological convergence.
The study found a critical nonlinear relationship in data element activation, indicating diminishing returns beyond an optimal threshold, which has implications for data governance strategies.
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Increase in Computing Infrastructure Weight (Improved Entropy Method)
Three-Dimensional Analytical Framework
Computing Power Infrastructure
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Activation of Data Elements
→
Embedding of Intelligent Technologies
→
New Quality Productivity
| Feature | Eastern Region | Western Region |
|---|---|---|
| Computing Power Input-Output Ratio |
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| Technical Convergence Rate (Years) |
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Non-Linear Impact of Data Elements
Data element activation shows a nonlinear regulation with an inverted U-shaped curve, where the marginal effect decreases by 53.7% after exceeding a circulation index threshold of 6.78. This implies an optimal level beyond which additional data activation yields diminishing returns.
The analysis reveals that while data activation is crucial, its impact on productivity is not linear. Initial activation provides strong benefits, but beyond a certain point (e.g., circulation index of 6.78), the marginal gains significantly diminish, indicating potential inefficiencies or saturation in data processing and utilization. This suggests the need for strategic data governance and focused element activation.
Calculate Your Potential ROI
Estimate the potential efficiency gains and cost savings from optimizing your digital infrastructure and AI integration based on industry averages and our research findings.
Annual Savings
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Hours Reclaimed Annually
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Your AI Implementation Roadmap
A strategic phased approach to integrate AI computing power for new quality productivity.
Phase 1: Strategic Planning & Infrastructure Assessment
Precisely position national computing hubs with FP64 + quantum computing architecture. Establish dynamic monitoring for utilization rates (target ≥65%).
Phase 2: Green Development & Data Element Optimization
Implement integrated 'wind-solar-storage-computing' systems and formulate carbon efficiency standards. Develop derivative products based on computing power indices.
Phase 3: Regional Coordination & Talent Empowerment
Construct 10 intelligent computing pilot zones in the eastern region, build 'data high-speed railway' in central region. Establish inter-provincial data verification platform with blockchain and improve talent 'revolving door' mechanism.
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