Study on the Measurement of New Quality Productive Forces and Regional Differences Across Chinese Provinces China
DOI:
https://doi.org/10.54691/w0cnyy71Keywords:
New Quality Productive Forces; Entropy Method; Dagum Gini Coefficient Method.Abstract
This paper constructs a theoretical framework for new quality productive forces. It explores the connotation of new quality productive forces from the perspectives of labor, production factors, and technological innovation. Using statistical methods such as the entropy method and the Dagum Gini coefficient method, it quantitatively evaluates the new quality productive forces levels of 30 provinces in China from 2012 to 2022. The study reveals that, overall, the new quality productive forces levels of these provinces have witnessed a significant increase. However, there are notable disparities among regions, with the eastern region having the highest level and the western region the lowest. There is no sign of convergence within the four major regions, and the inter -- regional differences continue to widen. In light of these findings, this paper proposes that policy - making should precisely target regional differences, strengthen coordinated regional development, promote the sustainable development of all regions, and establish a dynamic monitoring mechanism. The aim is to provide a theoretical basis and policy reference for the high - quality development of the Chinese economy.
Downloads
References
[1] Wang, J., & Wang, R. J. (2024). new quality productive forces: Index Construction and Spatiotemporal Evolution [J]. Journal of Xi'an University of Finance and Economics, 37(01), 31 - 47.
[2] Marx, K., & Engels, F. (2003). Collected Works of Marx and Engels [M]. Beijing: People's Publishing House.
[3] Fu, L. H. (2010). An Empirical Study on the Relationship between the Upgrading of China's Industrial Structure and Economic Growth [J]. Statistical Research, 27(08), 79 - 81.
[4] Lü, Y. W., & Sun, H. (2014). Research on the Technical Efficiency of China's Strategic Emerging Industries and Its Influencing Factors [J]. The Journal of Quantitative & Technical Economics, 31(01), 128 - 143.
[5] Zhao, T., Zhang, Z., & Liang, S. K. (2020). Digital Economy, Entrepreneurial Activity and High - quality Development-Empirical Evidence from Chinese Cities [J]. Management World, 36(10), 65 - 76.
[6] Liu, T., Li, J. X., & Huo, J. J. (2020). The Spatiotemporal Pattern and Influencing Factors of High - quality Development of Chinese Agriculture [J]. Journal of Arid Land Resources and Environment, 34(10), 1 - 8.
[7] Zhang, Z. Q., Zhang, T., & Feng, D. F. (2022). Research on Regional Differences, Dynamic Evolution and Convergence of China's Carbon Emission Intensity [J]. The Journal of Quantitative & Technical Economics, 39(04), 67 - 87.
[8] Sun, L. W., & Guo, J. H. (2024). Construction of Evaluation Index System and Empirical Measurement of new quality productive forces [J]. Statistics & Decision, 40(09), 5 - 11.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Frontiers in Sustainable Development

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.






