Research has found that the evolution of the supply and demand structure of base metals dynamically affects market value and drives value reassessment through corporate strategic responses (capacity adjustments, technological innovation, supply chain optimization). The dynamic model analysis shows that there are significant differences in the optimal objective function selection strategy under different supply and demand scenarios: maximizing profit rate to improve capital turnover efficiency when supply exceeds demand, maximizing comprehensive matching degree to stabilize strategic synergy effect when supply and demand are balanced, and minimizing empty driving rate to optimize resource utilization efficiency when supply exceeds demand. Market volatility plays a moderating role in the relationship between supply and demand and firm value, with significant heterogeneity in technological pathways, policy environments, and firm attributes. Research and innovate to construct a dynamic analysis framework that incorporates strategic response factors (capacity elasticity, technological efficiency, supply chain resilience), and directly observes dynamic evolution using the market value to book value ratio, providing practical guidance for resource-based enterprise value evaluation theory and commodity market participants.

Zinuo Wang. Relationship between Supply–Demand Structures of Base Metals and the Evolution of Corporate Value. International Journal of Business Management and Economics and Trade (2026), Vol. 7, Issue 1: 127-135. https://doi.org/10.38007/IJBMET.2026.070115.

[1] Park M, Yoon A, Zach T. Sell-side analysts' assessment of ESG risk[J]. Journal of Accounting and Economics, 2025, 79(2-3).

[2] Huang C, Mathiasen A, Dean J, et al. Linear Assignment on Tile-Centric Accelerators: Redesigning Hungarian Algorithm on IPUs[J]. 2025 Proceedings of the Symposium on Algorithm Engineering and Experiments (ALENEX), 2025:107-119.

[3] Barish R D, Shibuya T. Reconfiguring Planar Perfect Matchings viaBounded Length Alternating Cycles[C]//International Symposium on Fundamentals of Computation Theory. Springer, Cham, 2026.

[4] Wu, W. (2025, June). Construction and optimization of intelligent gateway software management platform based on jenkins cluster management under cloud edge integration architecture in industrial internet of things. In International Conference on 6G Communications Networking and Signal Processing (pp. 633-645). Singapore: Springer Nature Singapore.

[5] Wu, L. (2025, December). Design and Application of Automatic Data Set Generation Tool Based on KLEE in Embedded Memory Management Performance Test Framework. In 2025 IEEE 17th International Conference on Computational Intelligence and Communication Networks (CICN) (pp. 1111-1117). IEEE.

[6] Truong, T. H. (2026). Research on Risks and Countermeasures of Enterprise E-Commerce Transformation in the Cross-Border E-Commerce Environment.

[7] Qi, Y. (2025, October). Research on Privacy Protection of AI Models in Big Data Using Differential Privacy Technology. In 2025 2nd International Conference on Software, Systems and Information Technology (SSITCON) (pp. 1-5). IEEE.

[8] Hua, X. (2024, November). Design and Implementation of a Game QoE Monitoring and Evaluation System Driven by Network Traffic Analysis. In International Conference on Cognitive based Information Processing and Applications (pp. 149-161). Singapore: Springer Nature Singapore.

[9] Huang, J. (2025, August). Research on Multi-Model Fusion Machine Learning Demand Intelligent Forecasting System in Cloud Computing Environment. In 2025 2nd International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS) (pp. 1-7). IEEE.

[10] Zhou, Y. (2024, November). Construction of a Multi-factor Quantitative Stock Selection System for the New Energy Industry Based on Microservices Architecture and Machine Learning Components. In International Conference on Cognitive based Information Processing and Applications (pp. 163-174). Singapore: Springer Nature Singapore.

[11] Sun, Q. (2026). Research on Lightweight Intelligent Dialogue Systems Based on Semantic Entity Enhanced Intention Recognition and Rule Retrieval Generation Hybrid Models.

[12] Wang, Y. (2026). Research on the Application of Artificial Intelligence in Supply Chain Risk Early Warning.

[13] Liu, H. (2026). Research on the Application of Causal Reasoning Method in Content Compliance Experimental Evaluation.

[14] Yu, X. (2025). Digital Transformation Empowers Growth Marketing with Marketing Data Analysis Integration and Real-Time Display Strategy.

[15] Yin, J. (2026). Research on Financial Time Series Prediction and Multiscale Correlation Based on the Fusion of Network Big Data and Deep Learning.

[16] Hou, Y. (2026). Research on Server Performance Stability Assurance Mechanisms during Cross-Generation Computing Platform Upgrades.

[17] Han, X. (2026). Research on Process Decision-Making Behavior under Incomplete Information Conditions in Automobile Manufacturing Systems.

[18] Yu, X. (2026). Exploration of Multi-Channel Conversion Path Optimization Methods Based on A/B Testing.

[19] Zheng, H. (2026). Research on Edge Computing Network Task Scheduling and Resource Management Optimization Based on Artificial Intelligence Technology.

[20] Zhang, Z. (2026). Research on the Design of Scalable Enterprise-Level AI Systems Data Platform Architectures from an SDE Perspective.

[21] Ma, X. (2026). Research on End-To-End Reliability Modeling and Optimization of Service Grid.

[22] Weiyao Ma. Automated Operation Approach for Scalable Cloud Data Platform. International Journal of Big Data Intelligent Technology (2026), Vol. 7, Issue 1: 131-139.

[23] Zelin Wang. Data Analysis and Risk in Supply Chain Management. International Journal of Social Sciences and Economic Management (2026), Vol. 7, Issue 1: 132-140.

[24] Wang, B. (2025). Application of Efficient Load Test Strategies in Infrastructure. Journal of Computer, Signal, and System Research, 2(4), 69-75.

[25] Wang, B. (2025). Methods of Load Optimization for Computer Systems Based on Physical Principles.

[26] Liu, H. (2025). Research on the Evaluation of User Safety Intervention Measures Based on Causal Inference. Engineering Advances, 5(4).

[27] Yin, J. (2026). Research on a CLO Secondary Market Spread Volatility Prediction Model Based on RoBERTa Sentiment Factors. Advances in Computer and Communication, 7(1).

[28] Ye, J. (2025). Optimization of Neural Motor Control Model Based on EMG Signals. International Journal of Engineering Advances, 2(4), 1-8.

[29] Ye, J. (2025). Design of a Non-Invasive Brain Computer Interface System for Handwritten Text Based on L2 Regularization and Attention Supervision Paradigm, and Optimization of EEG Signal Decoding. International Journal of Big Data Intelligent Technology, 2025, 6 (1), 126, 134.

[30] Truong, T. H. (2025). Research on the Application of Digital Healthcare Platforms in Chronic Disease Management. Advances in Computer and Communication, 6(5).