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Electricity Demand and CO Emissions during the COVID-19 Pandemic: The Case of India

Author

Listed:
  • M. Tamilselvan

    (Faculty -Business Studies Department, University of Technology & Applied Sciences, Ibri, Sultanate of Oman)

  • Srinivasan Palamalai

    (School of Management, Presidency University, Bengaluru 560064, Karnataka, India.)

  • Magesh Kumar

    (School of Management, Presidency University, Bengaluru 560064, Karnataka, India.)

  • Bipasha Maity

    (School of Management, Presidency University, Bengaluru 560064, Karnataka, India.)

  • Nidhi Agrawal

    (Department of Management, New Horizon College of Engineering, Kaverappa Layout, Near Marathahalli, Bengaluru 560103, Karnataka, India.)

Abstract

The present study examines the impact of electricity demand on CO emissions in the Indian economy using daily real-time data during the Covid-19 period. The subject was hardly addressed explicitly and quantitatively in environmental studies. Our study applied recently developed non-linear (asymmetric) ARDL and the Quantile ARDL techniques for analysis. The empirical findings confirm the existence of an asymmetric long-run relationship between electricity demand and CO emissions during the Covid-19 pandemic. Furthermore, the results reveal that the decrease (increase) in electric demand leads to a reduction (increase) in CO emissions in the long run. Besides, the results show that the increase in electricity demand generates more CO emissions in the short run. Our study will be helpful for policy-makers and regulators associated with energy and climate change amid the ongoing pandemic crisis and provide directions to the expected waves of pandemic scenarios.

Suggested Citation

  • M. Tamilselvan & Srinivasan Palamalai & Magesh Kumar & Bipasha Maity & Nidhi Agrawal, 2022. "Electricity Demand and CO Emissions during the COVID-19 Pandemic: The Case of India," International Journal of Energy Economics and Policy, Econjournals, vol. 12(3), pages 161-169, May.
    • Handle: RePEc:eco:journ2:2022-03-16
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    References listed on IDEAS

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    Cited by:

    1. Vera Pujani & Fajril Akbar & Refdinal Nazir, 2023. "Managing Electricity Consumption on Campus: The Effect of Online Learning from Home," International Journal of Energy Economics and Policy, Econjournals, vol. 13(3), pages 384-395, May.

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    More about this item

    Keywords

    Electricity Demand; CO Emissions; Covid-19; Non-Linear ARDL model; Quantile ARDL Model; India;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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