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 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 INTERACTION BETWEEN ENERGY CONSUMPTION AND ECONOMIC GROWTH IN INDIA

2017 ◽  
Vol 5 (4) ◽  
pp. 62-71 ◽  
Author(s):  
Nandakumar ◽  
Devasia ◽  
Thomachan
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
World Bank ◽  
Energy Use ◽  
Annual Data ◽  
Sample Period ◽  
Development Indicators ◽  
Long Run ◽  
World Development

This Paper examines the relation between energy use and GDP percapita of India. It used the annual data from 1971-2013, obtained from World Development Indicators of World Bank for India. The variables used in this study are – Percapita GDP and Energy consumption in Kilograms of oil equivalent (Kgoe). The result shows long run relation between energy use and GDP percapita. The result also shows that Energy Use granger causes GDP percapita of India for the sample period.

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.

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.

scholarly journals effectiveness of car scrapping schemes in the Italian market

2012 ◽  
Vol 9 (2) ◽  
Author(s):  
Antonio Romano ◽  
Giuseppe Scandurra
Keyword(s):  
Regression Model ◽  
Automotive Industry ◽  
Economic Trend ◽  
Consumer Confidence ◽  
Intervention Analysis ◽  
Italian Market ◽  
Vector Auto Regression ◽  
The Relationship ◽  
Auto Regression ◽  
Structural Vector

The aim of this work is to examine the effectiveness of policies in support of the automotive industry that have taken place over the years and the link between car registration and consumer confidence. Firstly, through an intervention analysis, the series of total car registrations in Italy has been corrected for the effect of seasonality and incentives. Secondly, a Structural Vector Auto Regression model has been estimated in order to evaluate the effectiveness of the relationship between car registrations and consumers' confidence. The results show that policies in support of the automotive industry are useful if granted during an increasing economic trend. Otherwise they have no effect on sales of new vehicles.

The Impact of Infrastructure on Growth and Development

2017 ◽  
pp. 84-113 ◽  
Author(s):  
Bertha Z. Osei-Hwedie ◽  
Napoleon Kurantin
Keyword(s):  
Economic Growth ◽  
Road Transport ◽  
Transport Infrastructure ◽  
Infrastructure Development ◽  
External Financing ◽  
Key Factor ◽  
Vector Auto Regression ◽  
The Government ◽  
The Impact ◽  
Auto Regression

Infrastructure development is considered a key factor in promoting economic growth and attracting foreign investors for sustainable production and productivity. Conversely, inadequate levels of infrastructure constrain economic growth, a situation developing countries find themselves in. This requires the government to invest in infrastructure supplemented by external financing. This chapter, therefore, discusses how levels of infrastructure development affect economic growth in Ghana, since 1986 to date. The focus is on road transport infrastructure and its impact on economic growth under successive Ghanaian governments. Using the Cobb-Douglas production function and Vector Auto-regression (VAR) approach our analysis shows a positive relationship between infrastructure development and economic growth. This explains governments' improved allocation and expenditure on infrastructure development and maintenance in the 2000s. Ghana governments' attempts to plan and prioritize development of infrastructure, roads in particular, and create a culture of maintenance are targeted at raising the country's competitiveness and attractiveness to foster growth of all sectors of the economy.

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