Journal of Guangxi Teachers Education University (Philosophy and Social Sciences Edition) ›› 2026, Vol. 62 ›› Issue (1): 8-17.doi: 10.16088/j.issn.1001-6597.2026.01.002

Previous Articles     Next Articles

New Quality Productive Forces and Total Factor Productivity: Theoretical Logic and Practical Pathways

ZHOU Wen, FANG Tian   

  1. Institute of Marxism, Fudan University, Shanghai 200433, China
  • Received:2025-09-15 Online:2026-01-05 Published:2026-02-26

Abstract: Total factor productivity (TFP) serves as the core engine of sustained and stable economic growth and a key factor in transitioning China’s economy toward high-quality development. Although TFP is a common concept in Western economics, the intellectual origins embedded in Marx’s theory of labor productivity provide a theoretical foundation for understanding its stage-specific characteristics and contemporary implications from a political economy perspective. The significant enhancement of TFP is a central marker of new quality productive forces, whose internal mechanisms are reflected in disruptive technological innovation, innovative allocation of factors, and industrial transformation and upgrading—continuously expanding production boundaries, enhancing efficiency, and optimizing production structures. Therefore, improving TFP requires giving full play to the advantages of the new national system to achieve breakthroughs in key technologies, accelerating the development of a unified national market to facilitate the smooth flow of advanced production factors, and deepening the integration of digital and real economies to modernize the industrial system—thereby accelerating the formation and development of new quality productive forces.

Key words: total factor productivity, new quality productive forces, technological innovation, artificial intelligence, new national system

CLC Number:  D24;F124
[1] XIA Ming-yue, XU Ya-ting. New Quality Productive Forces and Ecological Labor: Reflections on Their Organic Coupling [J]. Journal of Guangxi Teachers Education University (Philosophy and Social Sciences Edition), 2026, 62(1): 18-27.
[2] WU Xiao-lin, LI Jiang-ping. Maintaining “Creative Sovereignty”: The Transformation of Public Governance Education in the Age of Artificial Intelligence [J]. Journal of Guangxi Teachers Education University (Philosophy and Social Sciences Edition), 2026, 62(1): 53-63.
[3] HAN Zhi-ming, ZHOU Liang-zi. Towards Information Asymmetry in the Age of AI—An Analysis Based on the Application of Artificial Intelligence in Public Governance [J]. Journal of Guangxi Teachers Education University (Philosophy and Social Sciences Edition), 2026, 62(1): 64-75.
[4] WANG Dian-li, LI Shi-xiang. AI-Driven Public Services: Efficiency Revolution, Scenario Reconstruction, and Value Changes [J]. Journal of Guangxi Teachers Education University (Philosophy and Social Sciences Edition), 2026, 62(1): 76-87.
[5] SHANG Jun-jie, HE Yi-lin, LIU Yu. The Value and Approaches of Empowering Teacher Development with Generative Artificial Intelligence [J]. Journal of Guangxi Teachers Education University (Philosophy and Social Sciences Edition), 2026, 62(1): 88-97.
[6] ZHANG Yi, XU Qing-wen, LIU Chun. The Impact of Artificial Intelligence Basic Research on Enterprise Innovation Performance [J]. Journal of Guangxi Teachers Education University (Philosophy and Social Sciences Edition), 2026, 62(1): 149-167.
[7] HAO Yang, HUANG Xin-quan. Contradiction Analysis and Path Reconstruction of Digital Technology Development [J]. Journal of Guangxi Teachers Education University (Philosophy and Social Sciences Edition), 2025, 61(6): 11-19.
[8] SHEN Tian-yi, LAN Jiang. The Other and Jouissance in the Space of Intelligent Platforms—A Contemporary Social Reflection Based on Psychoanalysis [J]. Journal of Guangxi Teachers Education University (Philosophy and Social Sciences Edition), 2025, 61(6): 28-34.
[9] YUE Wei, LI Wen-juan. The Logic, Challenges and Practice Approaches of Artificial Intelligence Empowering Reform of Education for Sustainable Development [J]. Journal of Guangxi Teachers Education University (Philosophy and Social Sciences Edition), 2025, 61(6): 87-97.
[10] REN Bao-ping. Constructing an Autonomous Knowledge System for Artificial Intelligence Economics in the Context of the AI Revolution [J]. Journal of Guangxi Teachers Education University (Philosophy and Social Sciences Edition), 2025, 61(6): 120-129.
[11] ZHENG Zhi-feng, CHEN Jing. Definition of Subjects and Implementation Pathways for Generative AI Labeling Obligations [J]. Journal of Guangxi Teachers Education University (Philosophy and Social Sciences Edition), 2025, 61(5): 69-78.
[12] SHEN Jun-xi, YANG Ming. Empowering the Development of New Quality Productive Forces with Private Economy: Theoretical Mechanism and Empirical Verification [J]. Journal of Guangxi Teachers Education University (Philosophy and Social Sciences Edition), 2025, 61(5): 152-164.
[13] ZHANG Zhe, WANG Xue-jian. The Ethical Implications of New Quality Productive Forces [J]. Journal of Guangxi Teachers Education University (Philosophy and Social Sciences Edition), 2025, 61(3): 12-22.
[14] ZHAO Xiao-yu, HAN Qiu-hong. The Historical Materialist Implications of New Quality Productive Forces [J]. Journal of Guangxi Teachers Education University (Philosophy and Social Sciences Edition), 2025, 61(2): 20-28.
[15] YAO Shu-jie, ZHANG Xiao-qian. Theoretical and Practical Paths for Promoting Regional Coordinated Development through New Quality Productive Forces [J]. Journal of Guangxi Teachers Education University (Philosophy and Social Sciences Edition), 2025, 61(2): 87-102.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!