China's potential economic growth rate and forecast 2024-2030: Based on endogenous technological progress model

Main Article Content

Zhao Li

Abstract

This paper makes an in-depth analysis of China's economic growth model, focusing on the effect of endogenous technological progress on the production function. Adopted endogenous technological progress on the production function. It is found that in the process of expansion, the stock scale of physical capital and human capital fails to give full play to its due scale effect or spillover effect. In addition, the report extends the endogenous growth model and explores China's real production function and total factor productivity (TFP). This paper also assesses financial efficiency, economic growth rates and their potential growth rates, and forecasts potential economic growth for 2024-2030. On the whole, China's economic growth faces many challenges, but there is also huge potential for development. By optimizing resource allocation and enhancing scientific and technological innovation capabilities, it is expected to further improve the efficiency and quality of economic growth. Looking ahead, China's economic development will continue to maintain a sound momentum of stability and contribute more impetus to global economic growth. 

Article Details

How to Cite
China’s potential economic growth rate and forecast 2024-2030: Based on endogenous technological progress model. (2024). Journal of Management Info, 11(3), 235-246. https://doi.org/10.31580/jmi.v11i3.3076
Section
Research Article

How to Cite

China’s potential economic growth rate and forecast 2024-2030: Based on endogenous technological progress model. (2024). Journal of Management Info, 11(3), 235-246. https://doi.org/10.31580/jmi.v11i3.3076

References

Chortareas, G. E., Girardone, C., & Ventouri, A. (2013). Financial freedom and bank efficiency: Evidence from the European Union. Journal of Banking & Finance, 37(4), 1223-1231. https://doi.org/10.1016/j.jbankfin.2012.11.015

Edmans, A., Heinle, M. S., & Huang, C. (2016). The real costs of financial efficiency when some information is soft. Review of Finance, 20(6), 2151-2182. https://doi.org/10.1093/rof/rfw030

Galor, O., & Tsiddon, D. (1997). Technological progress, mobility, and economic growth. The American Economic Review, 87(3), 363-382. http://www.jstor.org/stable/2951350

Guillaumont Jeanneney, S., Hua, P., & Liang, Z. (2006). Financial development, economic efficiency, and productivity growth: Evidence from China. The Developing Economies, 44(1), 27-52. https://doi.org/10.1111/j.1746-1049.2006.00002.x

Kelly, B., Papanikolaou, D., Seru, A., & Taddy, M. (2021). Measuring technological innovation over the long run. American Economic Review: Insights, 3(3), 303-320. DOI: 10.1257/aeri.20190499

Lau, K. T., & Brada, J. C. (1990). Technological progress and technical efficiency in Chinese industrial growth: A frontier production function approach. China Economic Review, 1(2), 113-124. https://doi.org/10.1016/1043-951X(90)90001-5

Louis, P., Seret, A., & Baesens, B. (2013). Financial efficiency and social impact of microfinance institutions using self-organizing maps. World development, 46, 197-210. https://doi.org/10.1016/j.worlddev.2013.02.006

Solow, R. M. (1962). Technical Progress, Capital Formation, and Economic Growth. The American Economic Review, 52(2), 76–86. http://www.jstor.org/stable/1910871

Szymkowiak, A., Melović, B., Dabić, M., Jeganathan, K., & Kundi, G. S. (2021). Information technology and Gen Z: The role of teachers, the internet, and technology in the education of young people. Technology in Society, 65, 101565. https://doi.org/10.1016/j.techsoc.2021.101565

Zhang, F., Deng, X., Phillips, F., Fang, C., & Wang, C. (2020). Impacts of industrial structure and technical progress on carbon emission intensity: Evidence from 281 cities in China. Technological Forecasting and Social Change, 154, 119949. https://doi.org/10.1016/j.techfore.2020.119949

Zhang, W. D., Zhang, S., & Luo, X. (2006). Technological progress, inefficiency, and productivity growth in the US securities industry, 1980–2000. Journal of Business Research, 59(5), 589-594. https://doi.org/10.1016/j.jbusres.2005.10.011

Most read articles by the same author(s)

1 2 3 4 5 6 7 8 9 10 > >> 

Similar Articles

You may also start an advanced similarity search for this article.