scholarly journals The Effects of Electricity Production on Industrial Development and Sustainable Economic Growth: A VAR Analysis for BRICS Countries

2019 ◽  
Vol 11 (21) ◽  
pp. 5895 ◽  
Author(s):  
Yu ◽  
Liu ◽  
Chen ◽  
Eti ◽  
Dinçer ◽  
...  
Keyword(s):  
Economic Growth ◽  
Industrial Development ◽  
Electricity Production ◽  
Annual Data ◽  
Var Analysis ◽  
Brics Countries ◽  
Vector Auto Regression ◽  
Sustainable Economic Growth ◽  
Auto Regression ◽  
Positive Effect

This study aims to evaluate the effect of electricity production on industrial development and sustainable economic growth. In this context, Brazil, Russia, India, China, and South Africa (BRICS), countries which have the highest increase in electricity production in the period of 2000–2018, are included in the scope of this study. Annual data of these variables in the period of 1991–2018 are used and three different models are created by using Vector Auto Regression (VAR) methodology. The findings state that electricity production in BRICS countries has a positive effect on both industrial production and sustainable economic growth. Hence, electricity production needs to be increased for them. For this purpose, it is important to encourage investors with tax advantages, location orientation and financing. Moreover, BRICS countries should give importance to renewable energy investments in order to increase electricity production. These issues have a contributing effect to sustainable economic growth.

scholarly journals Higher Education Input, Technological Innovation, and Economic Growth in China

2018 ◽  
Vol 10 (8) ◽  
pp. 2615 ◽  
Author(s):  
Guangyou Zhou ◽  
Sumei Luo
Keyword(s):  
Higher Education ◽  
Economic Growth ◽  
Technological Innovation ◽  
Interaction Mechanism ◽  
Sample Data ◽  
Vector Auto Regression ◽  
The Relationship ◽  
Auto Regression ◽  
Positive Effect

Based on the theoretical analysis of the relationship between China’s higher education input, technological innovation, and economic growth, this paper chooses the 1997–2015 sample data of China, and uses a vector auto regression (VAR) model to test the relationship between the three. The results show that educational input, technological innovation, and economic growth form an interaction mechanism featuring dynamic circulation. Higher education input and technological innovation are two important factors influencing economic growth. In the meantime, higher education input is an important source and driving force of technological innovation, and technological innovation will further promote economic growth. However, technological innovation has a delayed positive effect on economic growth, so higher education input demands a long-term view and thinking for quick success, and instant benefits should be avoided.

DETERMINANTS OF ECONOMIC GROWTH IN PAKISTAN: A STRUCTURAL VECTOR AUTO REGRESSION (SVAR) ANALYSIS

2017 ◽  
Vol 12 (2) ◽  
Author(s):  
Muhammad Ajmair ◽  
Khadim Hussain ◽  
Faisal Azeem Abbassi ◽  
Zahra Masood Bhutta
Keyword(s):  
Economic Growth ◽  
Information Criterion ◽  
Annual Data ◽  
Cd Rom ◽  
Development Indicators ◽  
Vector Auto Regression ◽  
Macroeconomic Determinants ◽  
Determinants Of Economic Growth ◽  
Auto Regression ◽  
Structural Vector

The study follows Structural Vector Auto Regression (SVAR) approach proposed by the so-called AB-model of Amisano and Giannini (1997) to find out relevant macroeconomic determinants of economic growth in Pakistan. Annual data is taken from World Development Indicators (CD-ROM, 2015) for the period 1976-2014. The widely-used Schwarz information criterion and Akaike information criterion is considered for the lag length in each estimated equation. Main findings of the study are that remittances received, gross national expenditures and inflation are found to be the best relevant positive and significant determinants of economic growth. Based on these empirical findings, we conclude that government should focus on overall economic growth augmenting factors while formulating any policy relevant to the concerned sector.

scholarly journals The Dynamics Between Dividends, Financing and Investments: Evidence From Jordanian Companies

2020 ◽  
Vol 11 (4) ◽  
pp. 231
Author(s):  
Abdullah Al Daas ◽  
Moid U. Ahmad ◽  
Suleiman Jamal Mohammad
Keyword(s):  
Investment Decisions ◽  
Market Value ◽  
Annual Data ◽  
Value Drivers ◽  
Financing Decisions ◽  
Time Period ◽  
Investment And Financing ◽  
Vector Auto Regression ◽  
Auto Regression ◽  
Major Decision

Dividend decisions, Financing decisions and Investment decisions are three very imperative decisions taken by a firm. The effect of these decisions is on the performance of the firm which subsequently effects the valuation of the firm. These decisions in a firm are also influenced by the growth and status of the respective economy.The current research attempts to analyze the dynamics between these three major decision areas and also assess their relationship with the market value of the firm. These dynamics are further tested against the economic growth of the respective economy. Annual data for 50 companies from Jordanian economy for the time period 2007-2018 is used to achieve the objective. Basic and advanced statistical techniques such as regression analysis and Vector Auto Regression (VAR) have been used in the study. The sample involved 50 Jordanian companies.The study found that the value of the firm is affected by three key decisions (value drivers) of dividend, investment and financing and this effect is best measured at a lag of two years. Also the combined effect of the three value drivers is more than standalone effect.

The Role of Energy Production in China's Sustainable Economic Growth

2013 ◽  
Vol 869-870 ◽  
pp. 439-442
Author(s):  
Kong Jian Li ◽  
Yaou Qi
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Energy Production ◽  
State Space Model ◽  
Annual Data ◽  
Time Varying Parameter ◽  
New Energy ◽  
Sustainable Economic Growth ◽  
The Relationship

This article investigates how the scale and structure of energy production influence on sustainable economic development in China. First and foremost, the relationship between energy production and economic development was discussed in theory, and a time-varying parameter state space model was established. Then an empirical study based on the annual data from 1981 to 2012 was carried out by using method of Kalman filter. The results indicate that both the increasing scale of energy production and the increasing proportion of new energy have a positive and significant influence on Chinese economic growth. Finally, the thesis draws a conclusion that, expanding the scale of energy production and optimizing the structure of energy production will significantly promote China's sustainable economic growth.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PENYALURAN PENGARUH TINGKAT SUKU BUNGA, NISBAH BAGI HASIL DEPOSITOMUDHARABAH, DAN PERTUMBUHAN EKONOMI TERHADAPPERTUMBUHAN DEPOSITO MUDHARABAH DI BANK SYARIAH MANDIRI PERIODE 2006:01-2011:12

Media Ekonomi ◽  
2017 ◽  
Vol 20 (3) ◽  
pp. 73
Author(s):  
Iqra Aulia
Keyword(s):  
Interest Rate ◽  
Unit Root Test ◽  
Secondary Data ◽  
Dynamic Impact ◽  
Causality Test ◽  
Var Analysis ◽  
Disturbance Factor ◽  
Vector Auto Regression ◽  
The Interest Rate ◽  
Auto Regression

<p>Vector Auto Regression (VAR) is an analysis or statistic method which can be used to predict time series variable and to analyst dynamic impact of disturbance factor in the variable system. In addition, VAR analysis is very usefull to assess the interrelationship between economics variable. This research through the following test phases: unit root test, optimal lag test, granger causality test, and form a vector auto regression model (VAR). The data used in this research is interest rate (i), profit low sharing of mudharabah deposits (nBH), economic growth (gGDP, growth of mudharabah deposits volume (gVM) in the period 2006:01-2011:12. The effectiveness was measured by two indicators. This study used secondary data issued by Syariah Mandiri Bank &amp; Bank Indonesia. The result of the study shows that response velocity of variable in growth of mudharabah deposits volume (gVM) towards shock instrument of interest rate(i) until reach the final target about 4 months. Thus we can conclude that growth of mudharabah deosits volume through Interest Rate is not effective in Indonesia period of 2006:01-2011:12. Keyword: Vector Auto Regression (VAR), growth of mudharabah deposits volume (gVM), The Interest Rate.</p>

scholarly journals The Impact of Bank Credit on Inflation in Jordan by Using Vector Auto Regression Model: A Case Study of Jordan during 1968-2017

2019 ◽  
Vol 12 (5) ◽  
pp. 34
Author(s):  
Suleiman Daood Al-Oshaibat ◽  
Hmood H. Banikhalid
Keyword(s):  
Regression Model ◽  
Inflation Rate ◽  
Function Analysis ◽  
Explanatory Power ◽  
Mutual Effect ◽  
Bank Credit ◽  
Annual Data ◽  
Vector Auto Regression ◽  
The Impact ◽  
Auto Regression

Previous studied revealed mixed results regarding the Banks have an influence on the inflation rate. This study aims at investigating the impact of the bank credit on the inflation rate in Jordan during the period 1968-2017 by using Vector Auto Regression Model (VAR) on the annual data. Necessary tests were conducted for this model such as Unit Root Test, Granger Causality Test, Variance Decomposition and Response Function analysis. The results reveal that there is a mutual effect between the bank credit and the inflation rate. Moreover the study states that there is an explanatory power of the bank credit in explaining the changes in inflations rates in Jordan. Namely, there is a positive effect of the credit bank on the inflation rate in Jordan.

Fuel and energy sector in Russia in the structure of industrial modernization

2021 ◽  
Vol 7 (Extra-B) ◽  
pp. 414-421
Author(s):  
Victor N. Scherbako ◽  
Andrey V. Dubrovsky ◽  
Irina V. Makarova ◽  
Sergey A. Anokhin ◽  
Valeriya.N. Shchennikova ◽  
...  
Keyword(s):  
Economic Growth ◽  
Industrial Development ◽  
Energy Sector ◽  
Economic Security ◽  
Russian Economy ◽  
Strategic Goals ◽  
Technological Level ◽  
Sustainable Economic Growth ◽  
Fuel And Energy Sector

The article deals with the problems of structural modernization of the Russian economy in the context of using the potential of the fuel and energy sector. The authors reveal the structural modernization regularities and the role of the fuel and energy sector as the most important component in the development of the country's productive forces. Generating a sustainable economic growth trajectory requires increasing the efficiency of using the potential of the energy sector. It is proved that the low technical and technological level of the extractive and processing industries of the fuel and energy sector, price imbalances, and the devaluation of the ruble do not meet the strategic goals of industrial development and achieving economic security.

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