Prediction and Analysis of Regional Economy Based on Grey Prediction Model GM (1,1)

DOI

10.2991/978-94-6463-102-9_141How to use a DOI?

Keywords

Economy; GDP; GM (1,1); Economy Balance; Prediction

Abstract

In recent years, China's economy has developed rapidly and made many achievements. However, the economic development of China's various regions is uneven, and the gap in per capita GDP is large. Therefore, each region needs to formulate different development plans according to its own economic development needs. In order to better understand and predict the economic development of different regions in China, this paper collects the Gross Domestic Product (GDP) data of Beijing, Chongqing and Heilongjiang Province from 2002 to 2021, and uses the gray prediction model GM (1,1) to predict it. The relative error of Chongqing, Heilongjiang and Peking is 9.714%, 8.399% and 3.412% respectively, it fits well with result.

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.

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TY  - CONF
AU  - Yuanshen Wang
AU  - Hao Qi
AU  - Yue Yang
AU  - Zhuohang Qin
AU  - Guoqing Meng
AU  - Yihang Xia
PY  - 2022
DA  - 2022/12/29
TI  - Prediction and Analysis of Regional Economy Based on Grey Prediction Model GM (1,1)
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 1363
EP  - 1370
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_141
DO  - 10.2991/978-94-6463-102-9_141
ID  - Wang2022
ER  -