EURO 2024 Copenhagen
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3242. Energy consumption decomposition analysis in developing countries with specific reference to India

Invited abstract in session WB-18: Sustainable Economics in Developing Countries , stream OR for Development and Developing Countries.

Wednesday, 10:30-12:00
Room: 42 (building: 116)

Authors (first author is the speaker)

1. Jinal Parikh
Technology, Operations & Decision Sciences, Amrut Mody School of Management, Ahmedabad University
2. Gerhard-Wilhelm Weber
Faculty of Engineering Management, Poznan University of Technology

Abstract

The International Energy Agency (IEA) recently revealed that - “Strong GDP growth and a weak monsoon drove up India's energy-related carbon emissions by around 190 million tonnes in 2023, though the country's per capita emissions remain far below the global average”. Given its target growth rate of 9% of reaching an economy of $5 trillion by 2024-25, it is an immense challenge for India to meet the growth target while keeping its GHG emissions under control. While SDGs 7 & 13 call for affordable and clean energy & climate action respectively by 2030, improving energy efficiency while keeping the GHG emissions under control could be one of the key paths to address the issues of energy security, climate change and economic stability for India. Further, India is characterized by considerable differences in energy efficiency in different regions resulting from differences in their economic and demographic trends, resource availability and industrial profiles. Given this background, this paper aims to: 1) identify the potential sources which influence India’s GHG emissions at regional level 2) explore various methods of decomposition analysis viz. IDA, SDA and PDA and apply the most appropriate amongst them to investigate potential sources on GHG emission changes 3) to extend the authors’ research presented at IFORS-2023 by performing decomposition analysis with GDP as the desirable output and GHG emissions as the undesirable output respectively.

Keywords

Status: accepted


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