AI DRIVEN SUPPLY CHAIN RESILIENCE
The Impact of China's Artificial Intelligence Pilot Policies on Enterprise Supply Chain Resilience
China's 'Artificial Intelligence Plus' strategy significantly enhances corporate supply chain resilience, with AI pilot policies leading to a 0.0177 unit average increase in resilience in pilot regions. This improvement is driven by enhanced absorptive capacity, resource integration, and innovation, and amplified by digital foundations and capital investment. Effects vary by region, city, industry, and enterprise type. AI policies also mitigate external shocks, particularly in later stages, and exhibit positive spatial spillover effects to non-pilot regions. This provides crucial insights for optimizing supply chain management and AI policy formulation.
Quantifiable Impact
The research reveals tangible benefits of AI policies on enterprise supply chain resilience.
0.0177 units
Average Increase in Supply Chain Resilience in Pilot Regions
95% CI
0.0074-0.0281
3
Key Drivers Identified (Absorptive Capacity, Resource Integration, Innovation)
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Absorptive Capacity Enhancement
0.5062 Direct Impact of AI Policies on Absorptive Capacity (Coefficient)AI policies significantly improve enterprises' ability to acquire, transform, and utilize knowledge, enhancing market perception and supply chain risk identification. A higher proportion of employees with a bachelor's degree or above indicates stronger absorptive capacity.
Resource Integration Capability Boost
0.0319 Direct Impact of AI Policies on Resource Integration (Coefficient)AI policies, through IoT and data-sharing platforms, facilitate seamless integration of internal and external enterprise data and intelligent resource scheduling, improving material resource integration and responsiveness to market changes.
Innovation Ability Promotion
0.2052 Direct Impact of AI Policies on Innovation Ability (Coefficient)AI policies act as innovation incubators, promoting collaboration and enabling enterprises to leverage massive data for product iteration and business model innovation, leading to enhanced dynamic adaptability.
| Moderating Variable | Coefficient (AIxModerator) | Description |
|---|---|---|
| Government Subsidy (Regional Capital) | 0.5210*** | Financial subsidies from regional governments accelerate AI development and application in supply chains, expanding AI's positive impact. |
| Regional Digitalization Level | 0.0941*** | Higher regional digitalization provides essential technological infrastructure for effective AI function and enhanced supply chain resilience. |
| R&D Investment (Enterprise) | 0.0266** | Enterprise-level R&D investment in AI directly influences the depth and breadth of AI application and improves supply chain intelligence. |
| Enterprise Digitalization | 0.0033** | Digital transformation within enterprises provides the technological foundation for adapting AI to supply chain scenarios, improving machine learning algorithm sensitivity. |
| Region Type | AI Policy Impact on Resilience | Key Characteristics |
|---|---|---|
| Eastern Regions | 0.0308*** | High-tech enterprises, scientific research institutions, abundant technological resources, sufficient talent pool. |
| Central and Western Regions | -0.0071 (Not Significant) | Relatively scarce technological resources, outflow of professional talents. |
| Southern Regions | 0.0155*** | Diversified industrial structure, established emerging industries. |
| Northern Regions | 0.0301** | Traditional industries, urgent pressure for transformation and upgrading, AI policies meet industrial innovation needs. |
| Coastal Regions | 0.0265*** | Diversified industrial structure, export-oriented economy, high integration with AI technology. |
| Inland Regions | -0.0049 (Not Significant) | Relatively single industrial structure, large proportion of traditional industries, difficulty matching AI with existing supply chain. |
| Firm Attribute | AI Policy Impact on Resilience | Explanation |
|---|---|---|
| State-Owned Enterprises (SOEs) | 0.0388*** | Benefit from preferential policy resources, stronger institutional environment, dominant position in industrial chain. |
| Non-State-Owned Enterprises | 0.0120** | Less direct policy support, more market-driven adoption. |
| High-tech Industry | 0.0168*** | Well-established technological infrastructure, knowledge spillover effects, government innovation investments, high-quality technical talents. |
| Non-High-tech Industry | 0.0069 (Not Significant) | Traditional production methods, weaker technological innovation capabilities. |
| High Market Competition | 0.0203*** | Intense market competition drives technological iteration, higher AI investment. |
| Low Market Competition | 0.0123* (Less Significant) | Smaller risk exposures, less endogenous incentive for 'chain expansion'. |
AI's Mitigating Effect During Shocks
0.0171 AI Policy Effect on Resilience during COVID-19 Pandemic (Interaction Coefficient)AI policies significantly reduce the adverse impact of exogenous shocks like the COVID-19 pandemic on supply chain resilience, demonstrating AI's stabilizing role, especially in enhancing adaptability rather than immediate resistance or recovery capacity.
Timing of AI Policy Impact
Initial Shock Period (2018-2020): No significant impact of AI policies.
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Later Stage of Shocks (2021-2023): AI policies significantly enhance resilience, resistance, and adaptability.
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Conclusion: AI's empowering effect on supply chain resilience primarily emerges in later stages of shocks, when understanding deepens and AI development matures.
Inter-regional Resilience Enhancement
0.0302 Indirect Effect of AI Policies on Neighboring Regions (Coefficient)AI policies not only enhance local supply chain resilience but also strengthen the supply chain resilience of neighboring regions through spatial transmission, confirmed by significant positive spatial autocorrelation coefficients.
Unlock Your AI Advantage: Calculate Your Potential ROI
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Your AI Implementation Roadmap
A strategic approach to integrating AI for maximum supply chain resilience.
Phase 1: Assessment & Strategy
Conduct a comprehensive audit of current supply chain processes, identify AI integration points, and develop a tailored AI strategy focusing on absorptive capacity.
Phase 2: Digital Foundation & Pilot
Invest in digital infrastructure, implement data-sharing platforms (IoT), and launch pilot AI projects in key areas to enhance resource integration capabilities.
Phase 3: Scaled Integration & Innovation
Expand AI applications across the supply chain, fostering an innovation ecosystem, and continuously optimizing algorithms for dynamic adaptability.
Phase 4: Resilience Monitoring & Optimization
Establish AI-driven risk warning systems, monitor supply chain performance, and continuously refine AI strategies based on market dynamics and shock responses.
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