Research on the Development, Measurement, and Role of Universities in New Productive Forces

Chenmin Ni

doi:10.62051/ijgem.v4n3.03

Authors

Chenmin Ni

DOI:

https://doi.org/10.62051/ijgem.v4n3.03

Keywords:

New Qualitative Productivity, Entropy Weight Method (EWM), Total Factor Productivity (TFP), Productivity Measurement, Knowledge Economy

Abstract

As the global economy undergoes rapid transformation, traditional productivity models based on material inputs, such as labor and capital, are increasingly replaced by new qualitative productivity, driven by knowledge, technology, and innovation. This study explores the development and measurement of new qualitative productivity, focusing on the role of universities. Key components of new qualitative productivity, including innovation, technological progress, human capital, and information resources, are examined. The Entropy Weight Method (EWM) is introduced as a tool for measuring new qualitative productivity, dynamically adjusting the weights of multiple indicators based on their variability. While current applications of EWM provide objective static measurements, the need for dynamic frameworks to capture temporal changes and the long-term impacts of innovation is emphasized. The study also evaluates the Total Factor Productivity (TFP) model as a macro-level measurement tool. Furthermore, the role of universities in advancing new qualitative productivity is highlighted through their contributions to scientific research, technology transfer, and talent development. The paper concludes by proposing the adoption of advanced dynamic measurement frameworks to better assess the sustained effects of innovation on productivity growth.

Downloads

Download data is not yet available.

References

[1] L. Lin, T. Gu, and Y. Shi, “The Influence of New Quality Productive Forces on High-Quality Agricultural Development in China: Mechanisms and Empirical Testing,” Agriculture, vol. 14, no. 7, p. 1022, Jun. 2024, doi: 10.3390/agriculture14071022.

[2] X. Gao and X. Liu, “Empowering New-Quality Productivity Development through Artificial Intelligence: Impact Mechanisms and Spatial Spillover.”

[3] D. Castro-Ceacero and G. Ion, “Changes in the University Research Approach: Challenges for Academics’ Scientific Productivity,” High Educ Policy, vol. 32, no. 4, pp. 681–699, Jul. 2018, doi: 10.1057/s41307-018-0101-0.

[4] C. Shao, H. Dong, and Y. Gao, “New Quality Productivity and Industrial Structure in China: The Moderating Effect of Environmental Regulation,” Sustainability, vol. 16, no. 16, p. 6796, Aug. 2024, doi: 10.3390/su16166796.

[5] C. Shao, H. Dong, and Y. Gao, “New Quality Productivity and Industrial Structure in China: The Moderating Effect of Environmental Regulation,” Sustainability, vol. 16, no. 16, p. 6796, 2024.

[6] X. Yang and Y. You, “How the World-Class University Project Affects Scientific Productivity? Evidence from a Survey of Faculty Members in China,” High Educ Policy, vol. 31, no. 4, pp. 583–605, Nov. 2017, doi: 10.1057/s41307-017-0073-5.

[7] W. F. Massy, T. A. Sullivan, and C. Mackie, “Improving measurement of productivity in higher education,” Change: The magazine of higher learning, vol. 45, no. 1, pp. 15–23, 2013.

[8] M. A. T. Quimbo and E. C. Sulabo, “Research productivity and its policy implications in higher education institutions,” Stud. High. Educ., vol. 39, no. 10, pp. 1955–1971, 2014.

[9] J. Zhang, Y. Shan, S. Jiang, B. Xin, Y. Miao, and Y. Zhang, “Study on the coordinated development degree of new quality productivity and manufacturing carbon emission efficiency in provincial regions of China,” Environ Dev Sustain, Aug. 2024, doi: 10.1007/s10668-024-05321-x.

[10] Radło, Mariusz-Jan and A. F. Tomeczek, “Factors influencing labor productivity in modern economies: A review and qualitative text analysis,” WSEAS Transactions on Environment and Development, vol. 18, 2022.

[11] Y. Rao, “Evaluation of high-quality industrial development in Guangdong Province from the perspective of new quality productivity,” Population, Resources & Environmental Economics, vol. 5, no. 2, pp. 112–121, 2024.

[12] C. Chen and C. Zhang, “Cultivation Path of Innovation and Entrepreneurship Personnel Training Driven by New Quality Productive Forces,” in Lecture Notes on Data Engineering and Communications Technologies, Cham: Springer Nature Switzerland, 2024, pp. 417–426. doi: 10.1007/978-3-031-72017-8_38.

[13] Y. Liu and Z. He, “Synergistic industrial agglomeration, new quality productive forces and high-quality development of the manufacturing industry,” Int. Rev. Econ. Finance, vol. 94, p. 103373, Jul. 2024, doi: 10.1016/j.iref.2024.103373.

[14] Rohács, J, “The Role of Universities in Technology Transfer,” Naucno Strucni Skup Vozduhoplovstvo, vol. 97, pp. E11–E16, 1997.

[15] Y. Dai, “An empirical study on the influence of new quality productivity development on the degree of rural revitalization,” AJHSS, vol. 7, no. 7, 2024, doi: 10.25236/ajhss.2024.070701.