A Modified CES Production Function Model and Its Application in Calculating the Contribution Rate of Energy and Other Influencing Factors to Economic Growth

Cheng Maolin, Shi Guojun and Han Yun
Additional contact information
Shi Guojun: School of Mathematics and Physics, Suzhou University of Science and Technology, Suzhou, 215009, China
Han Yun: School of Business, Suzhou University of Science and Technology, Suzhou, 215009, China

Journal of Systems Science and Information, 2019, vol. 7, issue 2, 161-172

Abstract: In the analysis of economic growth factors, the constant elasticity of substitution (CES) production function model is used to calculate the contribution rates of influencing factors to economic growth. However, the traditional CES production function model fails to consider the staged characteristics of economic growth. Therefore, this study provides a modified model of the CES production function. With regard to its application, a new method for calculating the contribution rates of energy and other influencing factors to economic growth is proposed using a modified CES production function model. This work concludes by calculating the contribution rates of Chinese energy and other influencing factors to economic growth.

Keywords: CES production function; influencing factors; economic growth; contribution rate (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.21078/JSSI-2019-161-12 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:jossai:v:7:y:2019:i:2:p:161-172:n:5

DOI: 10.21078/JSSI-2019-161-12

Access Statistics for this article

Journal of Systems Science and Information is currently edited by Shouyang Wang

More articles in Journal of Systems Science and Information from De Gruyter
Bibliographic data for series maintained by Peter Golla ().