IDEAS home Printed from https://ideas.repec.org/a/eco/journ2/2022-01-23.html
   My bibliography  Save this article

Mitigating Emissions in India: Accounting for the Role of Real Income, Renewable Energy Consumption and Investment in Energy

Author

Listed:
  • Festus Victor Bekun

    (Faculty of Economics Administrative and Social sciences, Istanbul Gelisim University, Istanbul, Turkey.)

Abstract

Accomplishing environmental sustainability has become a global initiative whilst addressing climate change and its effects. Thus, there is a necessity for innovation on part of economies as they seek energy for sustainable development. Thus, we explore the case of India a highly industrialized and heavy emitter of carbon emission. To this end, this study explores the effect of renewable energy, non-renewable, economic growth, and investment in the energy sector on CO2 emission in the Indian economy. Canonical cointegration regression (CCR), fully modified least squares (FMOLS) and dynamic least squares (DOLS) were used to access the long-run elasticity of the variables as well as Granger causality analysis to detect the direction of causality relationship among the highlighted variables. Empirical regression shows a negative relation between CO2 emission and renewable energy. Thus, suggesting that renewable energy serves as a panacea for sustainable development in the face ofeconomic growth trajectory. However, there was a positive relationship between CO2 emission and both non-renewable and real GDP growth. On the Granger analysis, we observe a one-way causality among renewable energy consumption and CO2 emission, economic development, and energy investment. These outcomes have far-reaching policy direction of environmental sustainability target in Indian economy.

Suggested Citation

  • Festus Victor Bekun, 2022. "Mitigating Emissions in India: Accounting for the Role of Real Income, Renewable Energy Consumption and Investment in Energy," International Journal of Energy Economics and Policy, Econjournals, vol. 12(1), pages 188-192.
    • Handle: RePEc:eco:journ2:2022-01-23
    as

    Download full text from publisher

    File URL: http://www.econjournals.com/index.php/ijeep/article/download/12652/6209/29513
    Download Restriction: no
    File URL: http://www.econjournals.com/index.php/ijeep/article/view/12652/6209
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bélaïd, Fateh & Youssef, Meriem, 2017. "Environmental degradation, renewable and non-renewable electricity consumption, and economic growth: Assessing the evidence from Algeria," Energy Policy, Elsevier, vol. 102(C), pages 277-287.
    2. Ito, Katsuya, 2017. "CO2 emissions, renewable and non-renewable energy consumption, and economic growth: Evidence from panel data for developing countries," International Economics, Elsevier, vol. 151(C), pages 1-6.
    3. Nguyen, Kim Hanh & Kakinaka, Makoto, 2019. "Renewable energy consumption, carbon emissions, and development stages: Some evidence from panel cointegration analysis," Renewable Energy, Elsevier, vol. 132(C), pages 1049-1057.
    4. Ozturk, Ilhan, 2010. "A literature survey on energy-growth nexus," Energy Policy, Elsevier, vol. 38(1), pages 340-349, January.
    5. Ewing, Bradley T. & Payne, James E. & Caporin, Massimilano, 2022. "The Asymmetric Impact of Oil Prices and Production on Drilling Rig Trajectory: A correction," Resources Policy, Elsevier, vol. 79(C).
    6. Ramphul Ohlan, 2015. "The impact of population density, energy consumption, economic growth and trade openness on CO 2 emissions in India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(2), pages 1409-1428, November.
    7. Chen, Yulong & Zhao, Jincai & Lai, Zhizhu & Wang, Zheng & Xia, Haibin, 2019. "Exploring the effects of economic growth, and renewable and non-renewable energy consumption on China’s CO2 emissions: Evidence from a regional panel analysis," Renewable Energy, Elsevier, vol. 140(C), pages 341-353.
    8. Inglesi-Lotz, Roula & Dogan, Eyup, 2018. "The role of renewable versus non-renewable energy to the level of CO2 emissions a panel analysis of sub- Saharan Africa’s Βig 10 electricity generators," Renewable Energy, Elsevier, vol. 123(C), pages 36-43.
    9. Katsuya Ito, 2017. "CO2 emissions, renewable and non-renewable energy consumption, and economic growth: Evidence from panel data for developing countries," International Economics, CEPII research center, issue 151, pages 1-6.
    Full references (including those not matched with items on IDEAS)

    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. Marques, António Cardoso & Fuinhas, José Alberto & Neves, Sónia Almeida, 2018. "Ordinary and Special Regimes of electricity generation in Spain: How they interact with economic activity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1226-1240.
    2. Kangyin Dong & Xiucheng Dong & Qingzhe Jiang, 2020. "How renewable energy consumption lower global CO2 emissions? Evidence from countries with different income levels," The World Economy, Wiley Blackwell, vol. 43(6), pages 1665-1698, June.
    3. Fareed, Zeeshan & Pata, Ugur Korkut, 2022. "Renewable, non-renewable energy consumption and income in top ten renewable energy-consuming countries: Advanced Fourier based panel data approaches," Renewable Energy, Elsevier, vol. 194(C), pages 805-821.
    4. Danish & Recep Ulucak, 2020. "The pathway toward pollution mitigation: Does institutional quality make a difference?," Business Strategy and the Environment, Wiley Blackwell, vol. 29(8), pages 3571-3583, December.
    5. Marius-Corneliu Marinaș & Marin Dinu & Aura-Gabriela Socol & Cristian Socol, 2018. "Renewable energy consumption and economic growth. Causality relationship in Central and Eastern European countries," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-29, October.
    6. Doytch, Nadia & Narayan, Seema, 2021. "Does transitioning towards renewable energy accelerate economic growth? An analysis of sectoral growth for a dynamic panel of countries," Energy, Elsevier, vol. 235(C).
    7. Baye, Richmond Silvanus & Ahenkan, Albert & Darkwah, Samuel, 2021. "Renewable energy output in sub Saharan Africa," Renewable Energy, Elsevier, vol. 174(C), pages 705-714.
    8. Ulucak, Recep & Danish, & Ozcan, Burcu, 2020. "Relationship between energy consumption and environmental sustainability in OECD countries: The role of natural resources rents," Resources Policy, Elsevier, vol. 69(C).
    9. Tanja Fatur Šikiæ, 2020. "The impact of energy consumption on economic growth in developed and post-transition countries of European Union," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 38(2), pages 475-497.
    10. BELAÏD, Fateh & Elsayed, Ahmed H. & Omri, Anis, 2021. "Key drivers of renewable energy deployment in the MENA Region: Empirical evidence using panel quantile regression," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 225-238.
    11. Chang, Chiu-Lan & Fang, Ming, 2022. "Renewable energy-led growth hypothesis: New insights from BRICS and N-11 economies," Renewable Energy, Elsevier, vol. 188(C), pages 788-800.
    12. Mengmeng Hu & Yafei Wang & Beicheng Xia & Guohe Huang, 2023. "What is the relationship between energy consumption and economic development? New evidence from a rapidly growing economic development region," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(4), pages 3601-3626, April.
    13. Dong, Kangyin & Hochman, Gal & Zhang, Yaqing & Sun, Renjin & Li, Hui & Liao, Hua, 2018. "CO2 emissions, economic and population growth, and renewable energy: Empirical evidence across regions," Energy Economics, Elsevier, vol. 75(C), pages 180-192.
    14. Wang, Qiang & Li, Shuyu & Pisarenko, Zhanna, 2020. "Heterogeneous effects of energy efficiency, oil price, environmental pressure, R&D investment, and policy on renewable energy -- evidence from the G20 countries," Energy, Elsevier, vol. 209(C).
    15. Emirmahmutoglu, Furkan & Denaux, Zulal & Topcu, Mert, 2021. "Time-varying causality between renewable and non-renewable energy consumption and real output: Sectoral evidence from the United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    16. Muhammad Farhan Bashir & Benjiang MA & Muhammad Shahbaz & Zhilun Jiao, 2020. "The nexus between environmental tax and carbon emissions with the roles of environmental technology and financial development," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-20, November.
    17. Alvarado, Rafael & Deng, Qiushi & Tillaguango, Brayan & Méndez, Priscila & Bravo, Diana & Chamba, José & Alvarado-Lopez, María & Ahmad, Munir, 2021. "Do economic development and human capital decrease non-renewable energy consumption? Evidence for OECD countries," Energy, Elsevier, vol. 215(PB).
    18. Adedoyin, Festus Fatai & Alola, Andrew Adewale & Bekun, Festus Victor, 2021. "The alternative energy utilization and common regional trade outlook in EU-27: Evidence from common correlated effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    19. Jamiu Adetola Odugbesan & Husam Rjoub, 2020. "Relationship Among Economic Growth, Energy Consumption, CO2 Emission, and Urbanization: Evidence From MINT Countries," SAGE Open, , vol. 10(2), pages 21582440209, April.
    20. Charfeddine, Lanouar & Kahia, Montassar, 2019. "Impact of renewable energy consumption and financial development on CO2 emissions and economic growth in the MENA region: A panel vector autoregressive (PVAR) analysis," Renewable Energy, Elsevier, vol. 139(C), pages 198-213.

    More about this item

    Keywords

    Environmental Sustainability; Carbon Reduction; Renewable Energy; Fossil-fuel Energy;
    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
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics

    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:journ2:2022-01-23. 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.