Applying Grey System Theory to Predict the Three Major Industries Structure Evolution in China

DOI

10.2991/aebmr.k.201211.081How to use a DOI?

Keywords

Grey system, GM(1, 1) model, three major industries, industry structure evolution, prediction accuracy

Abstract

GDP is one of the important indicators of the comprehensive performance of macroeconomic of a country in a given period, and also is the general term for the three major industries production value. The scientific and accurate analysis of the future industry structure evolution can contribute to the decision-making of the relevant departments, which is valuable in practice. This paper proposes an applying grey system theory to predict the three major industries structure evolution in China, which constructs a grey GM(1,1) model of the three major industries production value, verifies the model is usable for small sample size as a nonlinear model with high prediction accuracy, and uses the grey GM(1,1) model to predict the three major industries production value in the next five years. Results showed that the three major industries structure will be continuously optimized and adjusted, and the tertiary industry will play an increasingly important role in efficient and high-quality economic growth in China.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Dan Ma
AU  - Yintong Wang
PY  - 2020
DA  - 2020/12/14
TI  - Applying Grey System Theory to Predict the Three Major Industries Structure Evolution in China
BT  - Proceedings of the Fifth International Conference on Economic and Business Management (FEBM 2020)
PB  - Atlantis Press
SP  - 483
EP  - 489
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.201211.081
DO  - 10.2991/aebmr.k.201211.081
ID  - Ma2020
ER  -