IDEAS home Printed from https://ideas.repec.org/a/eco/journ2/2022-03-16.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.econjournals.com/index.php/ijeep/article/download/12904/6749
    Download Restriction: no

    File URL: https://www.econjournals.com/index.php/ijeep/article/view/12904
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cho, Jin Seo & Kim, Tae-hwan & Shin, Yongcheol, 2015. "Quantile cointegration in the autoregressive distributed-lag modeling framework," Journal of Econometrics, Elsevier, vol. 188(1), pages 281-300.
    2. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    3. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    4. Clemente, Jesus & Montanes, Antonio & Reyes, Marcelo, 1998. "Testing for a unit root in variables with a double change in the mean," Economics Letters, Elsevier, vol. 59(2), pages 175-182, May.
    5. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    6. Xingdong Feng & Xuming He & Jianhua Hu, 2011. "Wild bootstrap for quantile regression," Biometrika, Biometrika Trust, vol. 98(4), pages 995-999.
    7. Pan He & Jing Liang & Yueming (Lucy) Qiu & Qingran Li & Bo Xing, 2020. "Increase in domestic electricity consumption from particulate air pollution," Nature Energy, Nature, vol. 5(12), pages 985-995, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Brittle, Shane, 2009. "Ricardian Equivalence and the Efficacy of Fiscal Policy in Australia," Economics Working Papers wp09-10, School of Economics, University of Wollongong, NSW, Australia.
    2. Ibrahim Mohamed Ali Ali, 2023. "Income inequality, economic growth, and structural changes in Egypt: new insights from quantile cointegration approach," Economic Change and Restructuring, Springer, vol. 56(1), pages 379-407, February.
    3. Nasreen, Samia & Anwar, Sofia & Ozturk, Ilhan, 2017. "Financial stability, energy consumption and environmental quality: Evidence from South Asian economies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1105-1122.
    4. Garrod Brian & Almeida António & Machado Luiz, 2023. "Modelling of nonlinear asymmetric effects of changes in tourism on economic growth in an autonomous small-island economy," European Journal of Tourism, Hospitality and Recreation, Sciendo, vol. 13(2), pages 154-172, December.
    5. Nikeel Kumar & Ronald Ravinesh Kumar & Radika Kumar & Peter Josef Stauvermann, 2020. "Is the tourism–growth relationship asymmetric in the Cook Islands? Evidence from NARDL cointegration and causality tests," Tourism Economics, , vol. 26(4), pages 658-681, June.
    6. Kanjilal, Kakali & Ghosh, Sajal, 2013. "Environmental Kuznet’s curve for India: Evidence from tests for cointegration with unknown structuralbreaks," Energy Policy, Elsevier, vol. 56(C), pages 509-515.
    7. Shahbaz, Muhammad, 2013. "Linkages between inflation, economic growth and terrorism in Pakistan," Economic Modelling, Elsevier, vol. 32(C), pages 496-506.
    8. Iorember, Paul Terhemba & Usman, Ojonugwa & Jelilov, Gylych, 2019. "Asymmetric Effects of Renewable Energy Consumption, Trade Openness and Economic Growth on Environmental Quality in Nigeria and South Africa," MPRA Paper 96333, University Library of Munich, Germany, revised 2019.
    9. Zamanipour, Behzad & Ghadaksaz, Hesam & Keppo, Ilkka & Saboohi, Yadollah, 2023. "Electricity supply and demand dynamics in Iran considering climate change-induced stresses," Energy, Elsevier, vol. 263(PE).
    10. Muhammad Shahbaz & Amatul Razzaq Chaudhary & Syed Jawad Hussain Shahzad, 2020. "Is energy consumption sensitive to foreign capital inflows and currency devaluation in Pakistan?," Applied Economics, Taylor & Francis Journals, vol. 50(52), pages 5641-5658, June.
    11. Jeng-Bau Lin & Chin-Chia Liang & Wei Tsai, 2019. "Nonlinear Relationships between Oil Prices and Implied Volatilities: Providing More Valuable Information," Sustainability, MDPI, vol. 11(14), pages 1-15, July.
    12. Khan, Zeeshan & Hussain, Muzzammil & Shahbaz, Muhammad & Yang, Siqun & Jiao, Zhilun, 2020. "Natural resource abundance, technological innovation, and human capital nexus with financial development: A case study of China," Resources Policy, Elsevier, vol. 65(C).
    13. Christou, Christina & Gupta, Rangan & Nyakabawo, Wendy & Wohar, Mark E., 2018. "Do house prices hedge inflation in the US? A quantile cointegration approach," International Review of Economics & Finance, Elsevier, vol. 54(C), pages 15-26.
    14. Amine Lahiani & Ramzi Benkraiem & Anthony Miloudi & Muhammad Shahbaz, 2019. "New Evidence on the Relationship Between Crude Oil Consumption and Economic Growth in the US: A Quantile Causality and Cointegration Approach," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(2), pages 397-420, June.
    15. Moutinho, Victor & Santos de Oliveira, Helena M. & Viana Espinosa de Oliveira, Henrique & Puime Guillén, Félix, 2023. "The augmented and integrative model of economic growth: Theoretical and empirical evidence from USA," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    16. Schneider, Nicolas & Strielkowski, Wadim, 2023. "Modelling the unit root properties of electricity data—A general note on time-domain applications," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).
    17. Hettihewa, Samanthala & Saha, Shrabani & Zhang, Hanxiong, 2018. "Does an aging population influence stock markets? Evidence from New Zealand," Economic Modelling, Elsevier, vol. 75(C), pages 142-158.
    18. Chowdhury, Khorshed & Saleh, Ali Salman, 2007. "Testing the Keynesian Proposition of Twin Deficits in the Presence of Trade Liberalisation: Evidence from Sri Lanka after War: the case of a bridge too far?," Economics Working Papers wp07-09, School of Economics, University of Wollongong, NSW, Australia.
    19. Muhammad Atif Khan & Muhammad Asif Khan & Kishwar Ali & József Popp & Judit Oláh, 2020. "Natural Resource Rent and Finance: The Moderation Role of Institutions," Sustainability, MDPI, vol. 12(9), pages 1-23, May.
    20. Giorgio Canarella & Luis A. Gil‐Alana & Rangan Gupta & Stephen M. Miller, 2022. "The behaviour of real interest rates: New evidence from a 'suprasecular' perspective," International Finance, Wiley Blackwell, vol. 25(1), pages 46-64, April.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eco:journ2:2022-03-16. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.