EURO 2024 Copenhagen
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3040. Data analytics for the impact of renewable energy impact on decoupling economic growth from carbon emissions

Invited abstract in session WA-22: Renewable Energy Challenges, stream Energy Management.

Wednesday, 8:30-10:00
Room: 81 (building: 116)

Authors (first author is the speaker)

1. Ting Wu
Department of Operations, Technology, Events and Hospitality Management, Manchester Metropolitan University
2. Tao Wen
Alliance Manchester Business School, The University of Manchester
3. Yu-wang Chen
Alliance Manchester Business School, The University of Manchester

Abstract

Renewable energy contributes to reducing carbon emissions and attaining the general goal of energy sustainability, security and affordability in a balanced way. However, there exist complex causal relationships between renewable energy development, carbon emissions and economic growth, which makes it extremely difficult to reach consensus on key actions to address climate change across the globe. For example, in recent Climate Change Conferences, one of the key decision problems was how to mobilize climate finance and investment to renewable energy from developed countries in support of climate actions in developing countries.
This work aims to develop data analytics to support the impact evaluation and strategy development of renewable energy, which helps to strike an informed balance between carbon reduction and economic growth in both developed and developing countries. The causal relationships between traditional and renewable energy consumptions, carbon emissions and economic growth in the world’s major economies and carbon emitters are analysed both analytically and visually. The analytical results can be used to support data-driven decision making on net-zero strategies.

Keywords

Status: accepted

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