The Role of Energy Consumption and Economic Growth on Carbon Emission- Application of Artificial Neural Network

Authors

  • Hemant Kumar Sah Alliance University, Bengaluru, Karnataka, India,
  • Gyanendra Singh Sisodia College of Business Administration, Ajman University, United Arab Emirates,
  • Gouher Ahmed Skyline University College, United Arab Emirates,
  • Aqila Rafiuddin Birla Institute of Technology and Science (BITS), Pilani Dubai Campus, Department of Management Science, Dubai, UAE; & Tecnologico de Monterrey, Business School, San Luis Potosi, Mexico,
  • Naseem Abidi Skyline University College, United Arab Emirates.

DOI:

https://doi.org/10.32479/ijeep.14666

Keywords:

GDP growth;, Energy Consumption;, Carbon Emission, Artificial Neural Network

Abstract

This paper examines the influence of gross domestic product (GDP) and energy consumption (renewable energy and non-renewable energy) on carbon emissions in European Union (EU) Countries use of panel data from 2000 to 2020.  By using Artificial Neural Network (ANN) machine learning computational technique, variables are categorized into input and output parameters. The result from the analyses shows that RMSE values of all variables are significant. Further, the normalized importance obtained from the multilayer perception ANN algorithm highlights the importance of variables and their association. The finding suggests that EU countries should adopt a clean energy strategy and policy for environmental protection without compromising economic growth.

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Published

2023-11-10

How to Cite

Sah, H. K., Sisodia, G. S., Ahmed, G., Rafiuddin, A., & Abidi, N. (2023). The Role of Energy Consumption and Economic Growth on Carbon Emission- Application of Artificial Neural Network. International Journal of Energy Economics and Policy, 13(6), 591–596. https://doi.org/10.32479/ijeep.14666

Issue

Vol. 13 No. 6 (2023)

Section

Articles

License

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