Causal relationships among electricity consumption, foreign direct investment and economic growth in India

2018 ◽  
Vol 31 (7) ◽  
pp. 33-38 ◽  
Author(s):  
Anita Kumari ◽  
A.K. Sharma
Author(s):  
S. Maheswaranathan

Purpose: This paper investigates the long run relationship between electricity consumption, foreign direct investment and economic growth in Sri Lanka. Design/Methodology/Approach: The annual time series data over the period 1970–2017 is considered to this study. Augmented Dickey–Fuller (ADF) unit root analysis is employed for examining the stationary properties of the variables. Consequently, Autoregressive Distributed Lag (ARDL) analysis is employed to examining the short- run and long-run relationship between electricity consumption, foreign direct investment and economic growth in Sri Lanka. Further, this study used the diagnostic tests such as the residual normality test, heteroskedasticity and serial autocorrelation tests for misspecification to validate the parameter estimation outcomes achieved by the estimated model. CUSUM test is applied to test the stability of the model. Collected data were analyzed using STATA version 15. Findings: The findings of the bound test confirm that the variables are cointegrated. Further the results reveal that there is a statistically positive significant relationship between electricity consumption, foreign direct investment and economic growth in Sri Lanka in the long run and short term. The empirical finding reveals that one percent increase in electricity consumption and foreign direct investment increases the GDP by 1.5 percent and 12.9 percent in the long run respectively.


Author(s):  
Amal Hassan ALmalki, Nahla Sadrudden Samargandi, Abla Abdulh

This study examined the impact of a number of economic determinants such as economic growth, electricity consumption, foreign direct investment, financial development, trade openness and their contribution to increase or decrease of carbon dioxide (CO2) emissions in Saudi Arabia. To explore the long-run relationships between the variables, the autoregressive distributed lag (ARDL) methodology, is employed to analyze time series data for the period 1980-2017. Results indicates that there has is a long-term positive relationship between electricity consumption, economic growth, trade openness, and carbon dioxide emissions. A long-term negative relationship is existed between both foreign direct investment and the financial development, and carbon dioxide emissions. Therefore, we see how important it is to reduce dependence on fossil fuels and switch to renewable energy in electricity production. This indicates the importance of Vision 2030 to reduce dependence on oil as a major source of income and to support economic growth by developing the non-oil sector. And the importance of raising the efficiency of funding and providing the necessary liquidity to support the industrial sectors with the imposition of strict environmental laws.        


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