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How coal and geothermal energies interact with industrial development and carbon emissions? An autoregressive distributed lags approach to the Philippines

Shahzad, Umer, Schneider, Nicolas and Ben Jebli, Mehdi (2021) How coal and geothermal energies interact with industrial development and carbon emissions? An autoregressive distributed lags approach to the Philippines. Resources Policy, 74. ISSN 0301-4207

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Identification Number: 10.1016/j.resourpol.2021.102342

Abstract

While the relationship between aggregate renewables and economic growth has been extensively studied, the literature lacks examinations assessing the responses of economic and environmental indicators to geothermal energies. This caveat turns critical when the second largest geothermal energy producer worldwide remains also overlooked. This paper seeks to fill these above-mentioned gaps and proposes the first assessment of the dynamic interactions between coal energy consumption, geothermal energy consumption, industry value added and carbon emissions in the Philippines. Having provided a state-of-the-art review of the subject, our econometric procedure applies the F-Bounds test, the Autoregressive Distributed Lags and the Pairwise Granger causality test. Results support the existence of a bidirectional link among geothermal energy and aggregate income, congruent with the feedback hypothesis. Also, industry value added is found to drive coal consumption, and vice versa. Finally, geothermal energy and coal reveal a counter-intuitive positive and negative impact on carbon pollution on the short- and long-run, respectively. These results relate to the structure of the electricity supply largely dominated by fossil fuels in the Philippines and emphasize the need to further deploy geothermal energies. To meet the booming power demand from manufacturers, it is thus crucial to set up the conditions for scale effects and efficiency gains in the geothermal industry.

Item Type: Article
Additional Information: Funding Information: Comments from the editor and the anonymous referees are gratefully acknowledged. However, the usual disclaimer applies. Publisher Copyright: © 2021 Elsevier Ltd Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
Divisions: Geography & Environment
Date Deposited: 07 May 2024 14:15
Last Modified: 19 Jul 2024 20:45
URI: http://eprints.lse.ac.uk/id/eprint/122965

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