Abstract
The growth stimulating effect of energy has been long established in economic literature. Consequently, researchers and policy makers are trying to identify socio-economic determinants of energy consumption in both developed and developing countries to conserve energy. In the present study, we attempt to examine the non-linear and asymmetric effect of human capital and income disparity on energy demand in India over the period 1970–2014. The findings propose long-run co-integrating relationship between human capital, income inequality, and energy demand in the presence of asymmetric framework. It is found that increased level of human capital results in energy conservation as it decreases the energy demand, and higher income gap also results in lower energy demand as poor section may have restricted access to energy sources. Finally, the asymmetric causality test results reveal that only positive shock in income inequality tends to cause energy demand. From policy stand point, it can be recommended that government policies should be designed and implemented towards improvements in human capital to achieve sustainable economic growth in India since human capital found to be a significant component in energy conservation.
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Data availability
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Notes
Please refer to https://www.rug.nl/ggdc/docs/human_capital_in_pwt_90.pdf for detailed information on human capital index formation and its components’ discussion.
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We would like to thank the Editor of the ESPR journal and the anonymous reviewers for their valuable suggestions and comments that helped us in improving the quality of the research paper significantly.
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We have examined the role of human capital and income inequality on energy demand in India over the period 1970–2014 in a non-linear and asymmetric framework.
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Sehrawat, M. Modelling the nexus between human capital, income inequality, and energy demand in India: new evidences from asymmetric and non-linear analysis. Environ Sci Pollut Res 28, 3632–3643 (2021). https://doi.org/10.1007/s11356-020-10733-z
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DOI: https://doi.org/10.1007/s11356-020-10733-z