Analysis on the Contribution of Zhejiang Economic Growth Factors Based on Solow Residual Method
Authors
Zhijian Lu1, *, Yiwen Shen2
1Xingzhi College, Zhejiang Normal University, Jinhua, Zhejiang, China
2Economy and Management School, Zhejiang Normal University, Jinhua, Zhejiang, China
*Corresponding author.
Email: eywens@139.com
Corresponding Author
Zhijian Lu
Available Online 20 December 2022.
- DOI
- 10.2991/978-94-6463-030-5_171How to use a DOI?
- Keywords
- Solow Residual Method; Economic Growth; Total Factor Productivity (TFP); Contribution Rate; Zhejiang Province
- Abstract
Based on Cobb Douglas production function, this paper uses Solow residual method and SPSS software to calculate the economic growth index of Zhejiang Province from 2003 to 2019. The results show that from 2003 to 2019, the average contribution rate of labor input to economic growth of Zhejiang Province is 70.82%, the contribution rate of capital input to economic growth is 33.00%, and the contribution rate of total factor productivity growth to economic growth is - 3.82%. It shows that the economic growth of Zhejiang Province is still a typical factor input driven economic growth mode.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Zhijian Lu AU - Yiwen Shen PY - 2022 DA - 2022/12/20 TI - Analysis on the Contribution of Zhejiang Economic Growth Factors Based on Solow Residual Method BT - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022) PB - Atlantis Press SP - 1679 EP - 1687 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-030-5_171 DO - 10.2991/978-94-6463-030-5_171 ID - Lu2022 ER -