PBESProceedings of Business and Economic Studies2209-26412209-265XBio-Byword Scientific Publishing Pty. Ltd.10.26689/pbes.v7i6.9101ArticleFramework and Elemental Analysis for Constructing a Real-Time New Quality Productivity Monitoring Systemhttps://artdesignp.com/journal/PBES/7/6/10.26689/pbes.v7i6.9101LiangJie2024762024-12-23New quality productivity represents the core force driving global economic transformation and high-quality development. It signifies a shift in the economic system from being driven by traditional factors to a focus on innovation, technology intensiveness, and green, sustainable transformation. In this context, establishing an effective quality productivity monitoring system is of critical importance. This paper aims to construct a theoretical framework for the new quality productivity monitoring system and analyze its key elements. The goal is to provide a robust data foundation and scientific guidance for policy planning, platform development, talent cultivation, and introduction. The ultimate aim is to achieve real-time monitoring and precise evaluation of new quality productivity, ensuring its alignment with the long-term development of the social economy.

Chang Y, Zhang L, 2024, Framework Design of Financial Capital Allocation to Help New Quality Productivity Development Under Technological Revolutionary Breakthrough. J Finance Account, 2024(12): 11–15 + 131.

Liang W, Zhu C, 2019, The Logical Connotation and Monitoring Framework of New Quality Productivity from the Perspective of Disruptive Innovation Ecosystem. J West Peking Univ Philos Soc Sci Ed, 54(3): 38–47.

Ma G, Zhuang L, 2023, Exploration and Suggestions on Bioeconomic Statistical Monitoring in Mudanjiang City. Stat Consult, 2023(4): 44–45.

Research Group of Zhejiang Provincial Bureau of Statistics, Wu S, 2023, Research on the Construction of Co-Rich Statistical Monitoring System. Stat Sci Pract, 2023(3): 4–9.

Ouyang X, Wang H, 2021, Thinking on Statistical Monitoring of Grass Animal Husbandry in Xinjiang. Xinjiang Anim Husb, 36(3): 38–40.

Yu Y, Chen F, Wang E, 2024, Data Factor Allocation, New Quality Productivity and Regional Green Innovation Performance. Stat Decis, 2024(17): 5–11.

Xue YN, 2024, Research on Big Data Ecosystem and Construction of Industrial Think Tanks. Ind Innov Res, 2024(14): 42–44.

Wu B, Gu X, 2019, Construction of Science and Technology Safety Monitoring and Early Warning Index System: Empirical Analysis and Countermeasures. Electron Prod Reliab Environ Test, 42(3): 119–125.

Liu X, Hu G, Fan Z, et al., 2019, Research on the Construction of Science and Technology Security Risk Monitoring and Early Warning System. Eng Sci, 26(3): 186–195.

Lin H, Zhu C, Li X, et al., 2024, Construction and Monitoring of Evaluation Index System of Sci-Tech Strong Provinces. Sci Technol Entrep Mon, 37(4): 44–50.

Ma D, Wang Q, Fu Y, et al., 2024, Research on Construction and Application of Industrial Digital Transformation Monitoring System. China Mach, 2024(12): 68–71.

Huang Q, Ge W, 2024, Construction of Green Laboratory in New Ecological Environment System. China High-Tech, 2024(7): 155–157.

Zhao F, 2023, Research on the Construction of State-Owned Assets Management Monitoring System Based on Big Data. State-owned Assets Manag, 2023(11): 47–51.

Luo S, 2023, Construction of Jointly Modernized Statistical Monitoring Index System. Guizhou Ethn Stud, 44(5): 145–151.

Ren B, Miao X, 2023, Construction Logic, Framework, and Policy of China’s Digital Economy Development Monitoring and Early Warning System. Southeast Acad J, 2023(6): 134–146 + 247.