2022
DOI: 10.32479/ijeep.13597
|View full text |Cite
|
Sign up to set email alerts
|

The Price and Income Elasticity of Demand for Natural Gas Consumption in Saudi Arabia

Abstract: Natural gas consumption in Saudi Arabia (KSA) has grown at an annual rate of approximately 7% as a result of population growth and other economic and non-economic factors. This study aims to estimate the short- and long-run price and income elasticities of natural gas demand in Saudi Arabia using time series data from 1990 to 2020, applying the Autoregressive Distributed lag Procedure (ARDL). Employ an Error-correction model to obtain estimates of adjustment speeds with long and short-run elasticities. The ela… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 22 publications
0
1
0
Order By: Relevance
“…This study used a statistical model using Vector Error Correction Model (VECM) to estimate to capture the relationship between multiple quantities that change over time. Based on previous studies (Najla et al, 2020;Alzyadat et al, 2020), an econometric model will estimate the macroeconomic factors influencing the demand for life insurance. To estimate and analyzed the relationship between macroeconomic variables (Income, savings, and unemployment) on demand for life Insurance in Malaysia during the period of 1987 -2021 based on annual data series.…”
Section: Methodsmentioning
confidence: 99%
“…This study used a statistical model using Vector Error Correction Model (VECM) to estimate to capture the relationship between multiple quantities that change over time. Based on previous studies (Najla et al, 2020;Alzyadat et al, 2020), an econometric model will estimate the macroeconomic factors influencing the demand for life insurance. To estimate and analyzed the relationship between macroeconomic variables (Income, savings, and unemployment) on demand for life Insurance in Malaysia during the period of 1987 -2021 based on annual data series.…”
Section: Methodsmentioning
confidence: 99%