scholarly journals The Linkage between Oil and Non-Oil GDP in Saudi Arabia

Economies ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 202
Author(s):  
Sami Alabdulwahab
Keyword(s):  
Saudi Arabia ◽  
Short Term ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Oil Revenue ◽  
Vision 2030 ◽  
Symmetric Effect ◽  
The Impact

Saudi Arabia is one of the world’s major producers of oil. The Saudi Government has launched its vision for the coming decade: Saudi Vision 2030 (also known as 2030 Vision). Saudi Vision 2030 aims to diversify economic income and be independent of oil revenue. The focus of Saudi Vision 2030 is increasing the role of the non-oil GDP in the economy. In this study, I tried to examine the link between oil and non-oil GDP in Saudi Arabia. I used autoregressive distributed lag (ARDL) cointegration, the most common tool used to examine linkages among variables. My ARDL results confirm the long-term cointegration between non-oil GDP and oil rent, thus implying that oil rent-seeking strategies still exist in Saudi Arabia. The short-term dynamics confirmed the impact of oil rent over the non-oil GDP. The ARDL results led to analyses of asymmetric effects. The NARDL model estimated and confirmed the symmetric effect of the oil rent on non-oil GDP. These results demonstrate the challenges in diversifying Saudi Arabia’s income.

scholarly journals The Impact of Financial Development on Carbon Emission: Evidence from China

2020 ◽  
Vol 12 (17) ◽  
pp. 6959 ◽  
Author(s):  
Mingyuan Guo ◽  
Yanfang Hu
Keyword(s):  
Financial Development ◽  
Carbon Emissions ◽  
Term Effect ◽  
Short Term ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Lag Model ◽  
The Impact

This paper studies the impact of financial development on carbon emissions in China from 1997 to 2016. First, this paper uses the entropy method to construct a synthetical index to measure the financial development. Meanwhile, a two-dimensional panel framework is introduced to group provinces in the panel analysis. The estimation results of the time series autoregressive distributed lag model show that for China as a whole, there is a weak carbon emissions reduction effect of financial development, whether it is a long-term effect or a short-term effect. The estimation results of the panel autoregressive distributed lag model also support that an increase in financial development suppresses carbon emissions. Although financial development inhibits carbon emissions both in the short run and in the long run, the absolute value of the long-term coefficient of financial development is significantly greater than that of the short-term coefficient.

scholarly journals Tax revenue and private domestic investment

2019 ◽  
Vol 1 (2) ◽  
pp. 25-32
Author(s):  
Richard Umeokwobi ◽  
Emeka Nkoro
Keyword(s):  
Ordinary Least Squares ◽  
Tax Revenue ◽  
Domestic Investment ◽  
Secondary Sources ◽  
Used Oil ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Oil Revenue ◽  
Long Run ◽  
The Impact

This paper investigated the impact of tax revenue on private domestic investment in Nigeria from 1980 to 2018 using the modified ordinary least squares- Autoregressive distributed lag (ARDL). The paper used oil revenue, non-oil revenue, and Corporate Income Tax (CIT) as the independent variables while Private Domestic Investment (PDI) is the dependent variable. Oil revenue and non-oil revenue were used as a proxy for oil and non-oil tax. These data were obtained from secondary sources- central Bank of Nigeria, World Bank database and Federal Inland Revenue service statistical bulletin. The result showed that a long-run relationship exists between the aforementioned variables. Also, the paper revealed that oil and non-oil do not have a significant impact on PDI but CIT has a positive and significant impact on PDI. The paper recommends that proper measures/reforms should be put in place in order to reduce the impact of tax on private domestic investment in Nigeria.

scholarly journals DAMPAK PEMBANGUNAN EKONOMI, PENGELUARAN RUMAH TANGGA, DAN KETERBUKAAN PERDAGANGAN TERHADAP KONSUMSI ENERGI FINAL DI INDONESIA

2019 ◽  
Vol 4 (2) ◽  
pp. 1
Author(s):  
Bambang Priyo Cahyono ◽  
Yusro Hakimah
Keyword(s):  
Energy Consumption ◽  
Trade Openness ◽  
Value Added ◽  
Short Term ◽  
Final Consumption ◽  
Final Energy ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Final Energy Consumption

This study investigates the impact of economic growth on three main development sectors, household final consumption expenditure, and trade openness towards the growth of final energy consumption in Indonesia using annual data for the period 1972-2016. We applied autoregressive distributed lag (ARDL) procedures which consist of stationarity test, cointegration test, as well as estimation the short-term and long-term relationships. The cointegration test revealed existence cointegration<br />relationship among the variables in the model. In the short-term and long-term model, our results indicated that the growth of value-added in agriculture sector and industry sector, household final consumption expenditures, and trade openness in the short-term and long-term have a significant effect toward final energy consumption in Indonesia, while the growth of value-added in the service sector only given a short-term effect toward final energy consumption in Indonesia. Based on these<br />results, it can be concluded that sustainable economic development in Indonesia needs to be accompanied by the development of new and renewable energy in order to fulfil domestic energy supply which is predicted to continue to increase rapidly in the future.<br />Keyword : final energi consumption, economic development, household final consumption expenditure, trade openness, autoregressive distributed lag modeling<br />JEL Classification : D1, E21, F14, O13, Q43.

scholarly journals Fetal Vibroacoustic Stimulation in Computerized Cardiotocographic Analysis: The Role of Short-Term Variability and Approximate Entropy

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Maria Laura Annunziata ◽  
Mariamaddalena Scala ◽  
Natascia Giuliano ◽  
Salvatore Tagliaferri ◽  
Olga Carmela Maria Imperato ◽  
...  
Keyword(s):  
High Risk ◽  
Perinatal Outcomes ◽  
Approximate Entropy ◽  
Computer Assisted ◽  
Short Term ◽  
Fetal Movements ◽  
The Impact ◽  
Short Term Variability

The aim of this study was to evaluate the impact of vibroacoustic stimulation (VAS) on computerized cardiotocography short-term variability (STV) and approximate entropy (ApEn) in both low- and high-risk pregnancies. VAS was performed on 121 high- and 95 low-risk pregnancies after 10 minutes of continuous quiet, while their FHR parameters were monitored and recorded by cCTG analysis. Fetal heart rate was recorded using a computer-assisted equipment. Baseline FHR, accelerations, decelerations, STV, long-term irregularity (LTI), ApEn, and fetal movements (FMs) were calculated for defined observational periods before VAS and after 10 minutes. Data were also investigated in relationship with the perinatal outcome. In each group of patients, FHR after VAS remained almost unmodified. Fetal movements significantly increased after VAS in both groups. Results show that only in the high-risk pregnancies, the increase of STV and the decrease of ApEn after VAS were significantly associated with favorable perinatal outcomes.

scholarly journals Changes in Crude Oil Prices and the Flow of Government Revenue

2019 ◽  
pp. 1-12
Author(s):  
Chukwunweike Stella ◽  
Achu Tonia Chinedu ◽  
Awa Kalu Idika
Keyword(s):  
Oil Prices ◽  
Oil Price ◽  
Government Revenue ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Oil Revenue ◽  
Crude Oil Prices ◽  
Regression Techniques ◽  
The Government ◽  
The Impact

This work is set out as an investigation into the impact of change in oil prices on government revenue broken into oil and nonoil component. Drawing data from the Central Bank Statistical Bulletin and covering the period 1981 to 2018. The Autoregressive Distributed Lag (ARDL) Model was used because of its advantages over other regression techniques. It was found that changes in oil price affected oil revenue within the studied period leaving no significant impact on nonoil revenue. The result obviously reflects the Nigerian economy and its mono-product characteristic. It is therefore recommended that a conscious policy effort should be made to diversify the economy in a manner that makes revenue to the government multifarious functions.

scholarly journals Measuring the Effect of the Internet on Economic Growth: The Case of Saudi Arabia

2020 ◽  
Vol 12 (12) ◽  
pp. 61
Author(s):  
Hisham J. Bardesi
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Saudi Arabia ◽  
Internet Access ◽  
Ordinary Least Squares ◽  
The Internet ◽  
Macroeconomic Performance ◽  
The Impact

The purpose of this study is to examine and assess the impact of the Internet on economic growth in Saudi Arabia. Various studies show that there is a relationship between the growth rate of GDP and the Internet, as estimated by Internet user numbers. In this paper, the ordinary least squares (OLS) model is utilized to study the economic impact of Internet Access from 1994 to 2018, which has had a profound effect on the market structure of many sectors and Saudi&rsquo;s global macroeconomic performance. The study constructs a model to investigate any significant impact of the Internet on the Saudi economy. Finally, this paper suggests that an understanding of the role of the Internet is essential for policymakers who plan to promote new forms of economic growth in the future. To take a long-term view implies working on technologies that could improve the economy and people&rsquo;s lives by creating a technological ecosystem in and around Saudi Arabia, along with other major economies.

scholarly journals Revisiting the effects of relevant factors on Pakistan's agricultural products export

2020 ◽  
Vol 66 (No. 12) ◽  
pp. 527-541
Author(s):  
Zaid Ashiq Khan ◽  
Mansoor Ahmed Koondhar ◽  
Noshaba Aziz ◽  
Uzair Ali ◽  
Liu Tianjun
Keyword(s):  
Error Correction ◽  
National Economy ◽  
Crop Production ◽  
Error Correction Model ◽  
Agricultural Products ◽  
Short Term ◽  
Correction Model ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag

Pakistan is an agriculture-based country, so the agricultural sector is known as the backbone of the national economy. Considering the national economy and the agricultural industry, it is necessary to focus on earnings through agricultural products export to improve the livelihood of local farmers. Therefore, the current study aimed to analyse the short-term and long-term factors affecting agricultural products export. The annual time series of 1976–2016 were collected from World Bank indicators, the Food and Agriculture Organization, and the Statistical Bureau of Pakistan. An autoregressive distributed lag, along with a vector error correction model, was employed. A cointegration test showed long-term associations between the selected variables. While the autoregressive distributed lag model confirmed the short-term correlation between area sown and crop production towards agricultural products export, there is no long-term relationship between the selected variables. In addition, the bidirectional correlation between employment in agriculture and agricultural products export was confirmed by the vector error correction model. Therefore, it is essential to increase agricultural production with the available natural resources to increase foreign earnings.

scholarly journals The Impact of Manufacturing Industries on Economic Growth in the Kingdom of Saudi Arabia during (1990- 2018): أثر الصناعات التحويلية على النمو الاقتصادي في المملكة العربية السعودية  للفترة (1990- 2018)

2020 ◽  
Vol 4 (3) ◽  
Author(s):  
Reem Saeed Al- Ghamdi, Maha Alandejani
Keyword(s):  
Economic Growth ◽  
Saudi Arabia ◽  
Manufacturing Industries ◽  
Series Data ◽  
Short Term ◽  
Kingdom Of Saudi Arabia ◽  
Unit Root Testing ◽  
Oil Exports ◽  
The Impact

The study examined the effect of the impact of manufacturing industries on the economic growth in the Kingdom of Saudi Arabia، and to analyze the size of manufacturing growth and its contribution to economic growth. This study is based on the descriptive analytical approach to identify the development of manufacturing industries in Saudi Arabia and the size of its impact on the growth of the Saudi economy and also based on the methodology of standard analysis using time series data، and the application of unit root testing and common integration and multiple linear regression by applying an Ordinary Least Square (OLS)، to examine the relationship between the rate of economic growth، the rate of GDP of manufacturing، the rate of oil exports، the rate of industrial loans، and the rate of exports of manufacturing industries. The results indicate to negative impact of manufacturing industries، oil exports and industrial exports on economic growth in the long term، despite their positive impact in the short term and the existence of a direct correlation between the rate of growth of oil exports and economic growth in the short term، and the inverse relationship of industrial loans and industrial exports on economic growth. The study summarized several recommendations، including that decision-makers need to pay attention to manufacturing industries and oil exports taking into account the long- term risks of global oil markets and import prices، and the adoption of more extensive policies with regard to industrial loans and maximize industrial exports to affect economic growth positively.

scholarly journals Investigating the Income Inequality in Indonesia: An Application of Autoregressive Distributed Lag Approach

2021 ◽  
Vol 2 (4) ◽  
pp. 184-193
Author(s):  
Zulfa Nazli ◽  
Abd. Jamal ◽  
Muhammad Nasir
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Income Inequality ◽  
Urban Population ◽  
Skills Training ◽  
Short Term ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Short And Long Term

This study investigates the effect of economic growth, urban population, unemployment, and human capital on income inequality in Indonesia. Annual data collected from World Development Indicator (WDI) is used from 1984 to 2019. The analytical method of this research is Autoregressive distributed lag (ARDL) to examine the short and long-term relationships. The results show that economic growth positively and significantly affects income inequality in the short and long term. The urban population variable has a significant negative effect in the short term but not in the long term. The unemployment variable has a significant positive effect in the long run. Finally, human capital negatively affects the short term while not in the long term. Based on these findings, it is recommended that the government stabilize inequality by increasing progressive taxes, creating jobs, providing soft skills training beyond formal education, and socializing the concept of commuter work.

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