By disentangling the impact of positive and negative shocks of GDP, FDI and oil consumption on electricity consumption, the purpose of this paper is to investigate whether this bifurcation significantly determines the level of electricity consumption in the short run and long run.
Using the recently developed nonlinear autoregressive distributed lag (NARDL) bounds approach, the study investigates the changes in the level of electricity consumption over a period of 1980–2015. The inclusion of a dummy variable for the possible structural break makes the electricity demand function more reliable. After checking the stationarity of data series, the study has employed the bounds test, which confirms the existence of the long run stability in the system. Further, using the VECM, the causality among the comprised variables has also been examined.
The findings confirm that not only the positive shocks but also the negative shocks in GDP have a positive and significant impact on electricity consumption in the long run. Similarly, the increased FDI has widened the scope of electricity consumption in the region, whereas the negative shocks’ impact is found negative in the long run. In comparison to GDP and FDI, the influence of the increased oil consumption on electricity demand is found negative and significant in India, which reveals that electricity acts as a significant substitute for oil consumption in the long run.
To the best of the literature evidences available, none of the studies in the past has examined electricity demand in an NARDL framework. The study may help in estimating the demand for electricity consumption comprehensively, as this approach captures the separate influence of favourable and unfavourable changes while determining the level of electricity consumption. This approach may be crucial for policy makers, especially in an energy importer country, such as India.
Sharma, R. and Kautish, P. (2019), "Dynamism between selected macroeconomic determinants and electricity consumption in India: An NARDL approach", International Journal of Social Economics, Vol. 46 No. 6, pp. 805-821. https://doi.org/10.1108/IJSE-11-2018-0586
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