scholarly journals ENERGY ACCESS AND HOUSEHOLD INCOME IN SUBSAHARAN AFRICAN COUNTRIES

2019 ◽  
Vol 17 (30) ◽  
Author(s):  
Musibau Ojo Adejumo ◽  
Ajide Bello Kazeem

This study empirically examined the energy access andhousehold income in Sub-Saharan African countries between1990 and 2015. The study employed five variables:energy access, per capita income, energy price, FDI andtrade openness, as well as panel unit root test using twocriteria to test stationarity. Panel cointegration test wasalso conducted to test long-run cointegration between thevariables employed. Panel granger causality test was employedto check the degree of causality between the dependentand explanatory variables and Auto RegressiveDistributive Lag method of estimation was employed tocheck the long-run and short-run relationships between thevariables. The results of the panel unit root test from theLLC and IPS methods show that the order of integrationsis mixed with some of the variables being stationary atlevels (household income, Foreign Direct Investment andTrade Openness) and first difference (Energy Access andFuel Price) at the same time. The result of Pedroni cointegrationtest indicated the bivariate long-run cointegrationequation between the variables employed except forEA and GDPPC. The panel granger causality test revealedthat there is causality between these three variables (EA,GDPPC and FUELP) and the direction of causality onlyflows from these variables to energy access. The ARDLresult revealed that all explanatory variables accountedfor 60% variation of energy access in SSA. However,the study made the following policy implications: energypolicy needs to be orientated in favor of expanding thesupply of energy to reach an enhanced degree of sustainableeconomic growth and development, and governmentsin this region can subsidize energy products to increaseits consumption and promote the welfare of their citizens.

2017 ◽  
Vol 64 (3) ◽  
pp. 255-271 ◽  
Author(s):  
Emmanuel Anoruo

This paper explores the causal relationship between coal consumption and economic growth for a panel of 15 African countries using bootstrap panel Granger causality test. Specifically, this paper uses the Phillips-Perron unit root test to ascertain the order of integration for the coal consumption and economic growth series. A bootstrap panel Granger causality test is employed to determine the direction of causality between coal consumption and economic growth. The results provide evidence of unidirectional causality from economic growth to coal consumption. This finding implies that coal conservation measures may be implemented with little or no adverse impact on economic growth for the sample countries as a group.


2015 ◽  
Vol 3 (6) ◽  
pp. 100-107
Author(s):  
Anjali ◽  
K.T. Thomachan

The study examines the long run relationship between gold price and inflation from the Indian experience.  The main objective of the study is to identify whether there is long run relationship between the gold price and inflation.  For the investigation three year monthly data from July 2011 to June 2014.  The study is conducted by Augmented Dickey Fuller Unit Root Test, Johansen Co-integration Test and Granger Causality Test and finally came to the conclusion that there is no long run relationship between gold price and inflation.


2018 ◽  
Vol 2 (1) ◽  
pp. 62-76
Author(s):  
Macfubara, Minafuro Suzane ◽  
Norteh Dumbor ◽  
Gberesuu, Barida Barry

The financial system is the transmission channel of monetary policy. This study examines the effect of monetary policy on the performance of insurance firms in Nigeria from 1990 – 2017. The objective is to investigate the existing relationship between monetary policy instruments and the performance indicators of insurance companies. Secondary data were sourced from Stock Exchange factbook, Central Bank of Nigeria (CBN) Statistical Bulletin. Multiple linear regressions were formulated to examine the effect of the independent variables on the dependent variable. Return on equity was modeled as a function of treasury bill rate, monetary policy rate, interest rate, growth of money supply and exchange rate.  R2, T-Statistics, β Coefficient, F-Statistics and Durbin Watson were used to examine the extent to which the independent variables affect the dependent variables while augmented dickey fuller unit root test, granger causality test, cointgration test and error correction models was used to ascertain the dynamic relationship between monetary policy variables and return on equity of the insurance firms. Findings revealed that, all the explanatory variables have positive effect on return on equity except treasury bill rate.  The unit root test found that the variables are stationary at first difference, the cointgration test found the presence of long run relationship while the granger causality test found a uni-directional causality. The study concludes that monetary policy has moderate effect on the return on equity of the insurance firms. We recommend that management of insurance companies should devise measures of managing the negative effects of the monetary policy instruments to enhance the performance of the insurance companies.


2020 ◽  
Vol 3 (2) ◽  
pp. 17-27
Author(s):  
Kamaljit Singh ◽  
Vinod Kumar

The main objective of this paper is to analyze the trend and pattern of the Nifty-Fifty and sectorial indices. An attempt has been also made to find out the causal relationship among the Nifty-Fifty and NSE sectorial Indices. The unit root test and Granger-causality test has been applied to check the causal relationship between Nifty-Fifty and sectorial indices. The finding of the study shows that the financial service sector had performed better and followed by the banking sector among all the indices while the Pharma sector and the Realty sector were Under-performed in comparison to other indices. The Nifty-Fifty has been found less volatile in comparison to other sectorial indices however Realty sector indices show the highest volatility during the study period.


2015 ◽  
Vol 7 (11) ◽  
pp. 230 ◽  
Author(s):  
Uwazie I. U. ◽  
Igwemma A. A. ◽  
Nnabu Bernard Eze

Foreign direct investment is presumed to play immense role in economic growth in both developed and developing economies. This assumption has motivated the army of studies to actually determine the nexus between foreign direct investment and economic growth in Nigeria. But these studies were not unified on the direction of the causation, hence the need for the study. To effectively analyze the result, the study employs vector error correction model method of causality to analyze the annual data for the periods of 1970 to 2013. The Augmented Dickey-Fuller (ADF) unit root test show presence of unit root at level but stationary after first difference. The Johansen cointegration test confirms that the variables are cointegrated while the granger causality test affirms that foreign direct investment and economic growth reinforce each other in the short run in Nigeria. Also, it is reported that foreign direct investment granger cause economic growth both in the short and long run in Nigeria. Based on these findings, the study advocates the adoption of aggressive policy reforms to boost investors’ confidence and promotion of qualitative human capital development to lure FDI into the country. It also suggests the introduction of selective openness to allow only the inflow of FDI that have the capacity to spillover to the economy. These will attract FDI and boost economic growth in Nigeria.


2021 ◽  
Vol 4 (2) ◽  
pp. g11-17
Author(s):  
Tien Siew

The purpose of this study is to investigate the relationship between the inflows of Foreign Direct Investment (FDI) and economic growth in Malaysia. The sample collected for this empirical study covered 30 years of data from 1991 to 2020. The secondary data was collected annually and a total of 30 observations were taken for each variable. Ordinary Least Square (OLS) regression, unit root test, several diagnostic tests and Granger causality test were used in this research to investigate the relationship between FDI inflows and economic growth. Eviews 11 was used to analyze the time series data throughout all the tests. The result showed that the inflows of FDI has a significant negative relationship with economic growth and there is no causal relationship between FDI and Gross Domestic Product (GDP). Keywords: Economic growth, FDI inflows, Granger Causality Test, Ordinary Least Square regression, Unit Root Test


Media Ekonomi ◽  
2017 ◽  
Vol 19 (3) ◽  
pp. 23
Author(s):  
Anggi Hapsari Nurullita

<p>Indicators of macroeconomic have major impact on capital markets in general and stocks in particular. Influence of these indicators can be positive or negative. Vector Auto Regression (VAR) is a method of analysis used to predict the time series variable and analyze the dynamic impact factor interference in a system variable. VAR analysis is very useful to assess the linkages between economic variables. This research aims to see the influence of iIndicators of macroeconomic such as the exchange rate (EXCHANGE), interest rate Bank Central of Indonesia Certificates (SBI) and rate of inflation (INFLATION) to market return (REIHSG) in Indonesian Stock Exchange in the period 2004:1-2011:10. Data obtained from the Monthly Stock Price Index Statistics JSX. This research appllying several stages of testing as follows: unit root test, the optimal lag test, Granger causality test and Vector Auto Regression model (VAR). The results of unit root test in this study suggests that the data used for processing in the first degree and VAR Granger test because only the stationary stock index return variable in zero degree (level). On the test results suggested the optimal lag is the lag 3. On the Granger causality test is known that the Granger test variable rate (EXCHANGE) has a one-way impact or the exchange rate (EXCHANGE) affect market return (REIHSG) interest rate of Bank Central of Indonesia Certificates (SBI) and the rate of inflation (INFLATION) has a two direction or impact mutual Causality. These results indicate that there is a weak Granger causality between interest rates Bank Central of Indonesia Certificates (SBI) and rate of inflation (INFLATION) to market return (REIHSG).<br />Keywords: Vector Auto Regressive (VAR), Macroeconomic, Granger Causality, IHSG stock return</p>


2019 ◽  
Vol 33 (2) ◽  
pp. 73-80
Author(s):  
Shiva Prasad Pokharel ◽  
Bishnu Prasad Pokharel

 This paper aims to investigate the impact of Foreign Direct Investment (FDI) on the economic growth of Nepal for the period 2008/09 to 2017/18 A.D. yearly data. It evaluated the Gross Domestic Product (GDP) performance and the trends of FDI and Gross Fix Capital Formation (GFCF) in Nepal. To demonstrate the relationship between Nepalese Gross Domestic Product (GDP) and Foreign Direct Investment (FDI) and Gross Fix Capital Formation (GFCF) Multiple-Regression-Model has been applied along with various econometrics techniques such as Unit-Root Test, Granger-Causality Test and Ordinary Least Square (OLS). GDP in this model is used as dependent variable whereas FDI and GFCF are measured as independent variables. According to the results, Unit Root Test indicated that all the variables included in the model were not stationary at level except FDI, whereas GDP and GFCF are stationary at first difference. The model is overall significant with the positive and significant relationship of GDP, FDI and GFCF. Result also indicate a good fit for the model with R2=86%. The Granger Causality Test revealed that there was no causality between the variables since all p-value obtained are more than 5%. Based on the empirical result of this paper, policy recommendation proposed that for Nepal to generate more foreign direct investment, hard work should be made at solving problems of government involvement in business; relative closed economy; corruption; weak public institutions; and poor external image, and political instability.


2013 ◽  
Vol 1 (1) ◽  
pp. 100-105
Author(s):  
OYINBO OYAKHILOMEN ◽  
REKWOT G ◽  
ADEGBOYE G ATIM

This study was carried out to examine the causality of agricultural production and the Agricultural Credit Guarantee Scheme Fund(ACGSF) in Nigeria. ADF unit root test, unrestricted VAR and granger causality test were employed in the analysis of the dataset and result showed that there is no causality between agricultural production and value of agricultural credit guaranteed but a unidirectional causality from agricultural production to the number of agricultural credit guaranteed existed. This implies that we can better predict the outcome of agricultural production in Nigeria using the past values of the number of agricultural credit guaranteed.


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