THE CAPACITY MULTIPLIER EFFECT IN ASEAN'S ENERGY TRANSITION: HYDROPOWER, SOLAR, AND BIOENERGY DYNAMICS
Abstract
This study examines the structural associations and comparative capacity multipliers of specific renewable technologies hydropower, solar energy, and bioenergy on the total installed renewable energy capacity in four key ASEAN countries: Indonesia, Malaysia, the Philippines, and Thailand, over the 2015–2024 period. Addressing empirical gaps in the literature on energy mix diversification, this research employs a Fixed Effects Model (FEM) using panel data from the International Renewable Energy Agency (IRENA) to control for unobserved country-specific heterogeneity. To overcome the mechanical accounting identity inherent in regressing an aggregate against its components, this study interprets the estimated coefficients as infrastructural spillover effects rather than strict causal generation outputs. The findings indicate that while all three technologies are positively associated with aggregate capacity expansion, their relative structural impacts differ significantly. Bioenergy exhibits the highest capacity multiplier (1.51), highlighting its critical role in providing dispatchable grid flexibility that accommodates further renewable integration. Hydropower (1.18) serves as a stabilizing baseload anchor, while solar energy (1.05) acts as a highly elastic, near-proportional additive component. Academically, this study refines the econometric understanding of renewable energy expansion in developing economies by quantifying these specific technological synergies. Practically, the findings offer suggestive policy guidance for optimizing capacity investments and grid diversification to support a resilient energy transition toward the region's Net-Zero Emissions targets.
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style='mso-spacerun:yes'> ADDIN EN.REFLIST
field-separator'>Baltagi, B. H. (2008). Econometric analysis of panel data (Vol. 4). Springer.
Boyle, G. (2024). Renewable Energy: Power for a Sustainable Future. TIDEE: TERI Information Digest on Energy and Environment, 23(1/2), 120-120.
Brauns, J., & Turek, T. (2020). Alkaline water electrolysis powered by renewable energy: A review. Processes, 8(2), 248.
Demirbaş, A. (2001). Biomass resource facilities and biomass conversion processing for fuels and chemicals. Energy conversion and Management, 42(11), 1357-1378.
Geels, F. W., Sovacool, B. K., Schwanen, T., & Sorrell, S. (2017). Sociotechnical transitions for deep decarbonization. Science, 357(6357), 1242-1244.
Gujarati, D. N. (2012). Basic Econometrics 4th ed. In.
IEA. (2020). World energy outlook 2020. International Energy Agency (IEA). https://www.iea.org/reports/world-energy-outlook-2020
IEA. (2021). Net zero by 2050: A roadmap for the global energy sector. International Energy Agency (IEA). https://www.iea.org/reports/net-zero-by-2050
IHA. (2020). Hydropower sustainability guidelines on good international industry practice. International Hydropower Assocition (IHA). https://www.hydropower.org/publications/hydropower-sustainability-guidelines
IRENA. (2023). Renewable capacity statistics 2023. International Renewable Energy (IRENA). https://www.irena.org
Kaunda, C. S., Kimambo, C. Z., & Nielsen, T. K. (2012). Potential of small‐scale hydropower for electricity generation in sub‐Saharan Africa. International Scholarly Research Notices, 2012(1), 132606.
Llamosas, C., & Sovacool, B. K. (2021). Transboundary hydropower in contested contexts: Energy security, capabilities, and justice in comparative perspective. Energy Strategy Reviews, 37, 100698.
Remya, S. (2024). A Study On Influence of Green Accounting On CSR Activities of the Company-Managers Perspective. International Research Journal on Advanced Engineering and Management (IRJAEM), 2(06), 1871-1877.
REN21. (2020). Renewables 2020 global status report. . https://www.ren21.net/reports/global-status-report/
Sorrell, S. (2018). Explaining sociotechnical transitions: A critical realist perspective. Research Policy, 47(7), 1267-1282.
Twidell, J. (2021). Renewable energy resources. Routledge.
Wooldridge, J. M. (2010). Econometric analysis of cross section and panel data. MIT press.
Zhang, F., Lan, W., Zhang, A., & Liu, C. (2022). Green approach to produce xylo-oligosaccharides and glucose by mechanical-hydrothermal pretreatment. Bioresource technology, 344, 126298.
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DOI: https://doi.org/10.20961/jaedc.v11i1.110515
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