Measuring the Macroeconomic Variables Affecting the GDP of the Kingdom of Saudi Arabia - during (1980-2021)

This study aims to measure the main macroeconomic variables that affect the Gross Domestic Product (GDP) in the Kingdom of Saudi Arabia, as well as the relationship between them in the long term. The descriptive analytical approach was used to analyze the data through the Autoregressive Distributed Lag (ARDL) approach for the period (1980-2021). The results of this study showed that all the variables in the GDP are significant, meaning that they have an impact on the dependent variable in the long run, except for the inflation, which showed that it had no significant effect on the Saudi GDP. The study also found that there is a positive relationship between the GDP and government spending, gross capital formation, labor force and exports, so increasing these variables by one-unit lead to an increase in the long-run GDP by 1.538, 3.389, 0.041, 0.855 unit, respectively. On the other hand, this study showed that the relationship between the GDP and imports is negative, meaning that an increase in the imports by one-unit leads to a decrease in long-run GDP by 3.063 units. As a result, the study recommended reducing dependence on oil, as it is the main supporter of many macroeconomic variables, through diversifying sources of economic income.

Authors

Publication Details

Journal
Journal of Administrative and Economic Sciences
Published
2025-10-16
DOI
https://doi.org/10.25259/jaes_18_2_401
Primary Topic
Economic Growth and Development
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Measuring the Macroeconomic Variables Affecting the GDP of the Kingdom of Saudi Arabia - during (1980-2021)

Mohammed Saud Almohaimeed
Journal of Administrative and Economic Sciences
Economic Growth and Development
article

Measuring the Macroeconomic Variables Affecting the GDP of the Kingdom of Saudi Arabia - during (1980-2021)

Mohammed Saud Almohaimeed
article en

Abstract

This study aims to measure the main macroeconomic variables that affect the Gross Domestic Product (GDP) in the Kingdom of Saudi Arabia, as well as the relationship between them in the long term. The descriptive analytical approach was used to analyze the data through the Autoregressive Distributed Lag (ARDL) approach for the period (1980-2021). The results of this study showed that all the variables in the GDP are significant, meaning that they have an impact on the dependent variable in the long run, except for the inflation, which showed that it had no significant effect on the Saudi GDP. The study also found that there is a positive relationship between the GDP and government spending, gross capital formation, labor force and exports, so increasing these variables by one-unit lead to an increase in the long-run GDP by 1.538, 3.389, 0.041, 0.855 unit, respectively. On the other hand, this study showed that the relationship between the GDP and imports is negative, meaning that an increase in the imports by one-unit leads to a decrease in long-run GDP by 3.063 units. As a result, the study recommended reducing dependence on oil, as it is the main supporter of many macroeconomic variables, through diversifying sources of economic income.

Journal of Administrative and Economic SciencesVol. 18
Openalex Percentile: Top 57%
Economic Growth and Development
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Measuring the Macroeconomic Variables Affecting the GDP of the Kingdom of Saudi Arabia - during (1980-2021) — Mohammed Saud Almohaimeed · Journal of Administrative and Economic Sciences (2025) | TGRS Research Map | TGRS