Forecasting Analysis of Guangzhou's Gross Domestic Product Based on ARIMA Model

DOI

10.2991/978-94-6463-262-0_41How to use a DOI?

Keywords

ARIMA model; GDP; time series model; predictive analysis

Abstract

ARIMA model is a common method for time series analysis and fore-casting. GDP is an essential indicator of the social and economic development of a country or region. It plays an instrumental role in understanding the economic strength of a country or region as well as the trend and status of economic development. This paper establishes an ARIMA model by selecting the GDP data of Guangzhou from 1990 to 2021 to analyze the economic development of Guangzhou. First of all, the stationary test and processing are carried out on the data. Then, the parameters are determined based on the model and the suitable ARIMA model is chosen. Finally, use the model to predict the GDP data of Guangzhou in the next three years, and provide scientific reference and suggestions for its future urban development according to the urban characteristics of Guangzhou.

Copyright

© 2024 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  - Minjing Peng
AU  - Zhiyu Liu
PY  - 2023
DA  - 2023/10/09
TI  - Forecasting Analysis of Guangzhou's Gross Domestic Product Based on ARIMA Model
BT  - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
PB  - Atlantis Press
SP  - 376
EP  - 383
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-262-0_41
DO  - 10.2991/978-94-6463-262-0_41
ID  - Peng2023
ER  -