An Empirical Study of Factors Influencing Australia's GDP
- DOI
- 10.2991/978-94-6463-042-8_83How to use a DOI?
- Keywords
- GDP; Multiple Regression; Australia
- Abstract
GDP is currently the most comprehensive and effective indicator of the national economic situation in the world. Macroeconomic indicators are used to analyze the development trend and operation of the national economy. When analyzing economic growth and macroeconomic operation, GDP plays a great role. In some situations, it is used to identify factors of economic growth and their impacts. This paper takes data from 1981 to 2019 and investigates the impact of five variables (Gross Saving; Consumer Price Index; Unemployment; Population and Real Interest Rate) on Australia's GDP growth using multiple linear regression methods. From the paper, Gross Saving and Interest Rate have produced positive and statistically significant results in Australia's GDP growth. However, the Consumer Price Index, Unemployment, and Population are quite the opposite (refer to formula 2). According to the results of the study, the government should do its best to maintain the stability of GS, CPI, UNEMP, POP and IR to maintain sustained and healthy economic development.
- 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 - Hongbo Guo AU - Zewei Zhang PY - 2022 DA - 2022/12/29 TI - An Empirical Study of Factors Influencing Australia's GDP BT - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022) PB - Atlantis Press SP - 581 EP - 586 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-042-8_83 DO - 10.2991/978-94-6463-042-8_83 ID - Guo2022 ER -