The role of feed-in tariffs in encouraging insurance companies to invest in renewables
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DOIhttp://dx.doi.org/10.21511/ins.16(1).2025.10
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Article InfoVolume 16 2025, Issue #1, pp. 115-130
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In an environment where public funding is insufficient to meet international climate and energy goals, feed-in tariffs serve as an essential mechanism to mitigate investment risk and foster the participation of insurance companies as institutional investors in the renewable energy sector. This study aims to investigate whether feed-in tariff policies enhance the evolving effect of insurance sector development on renewable energy consumption across countries and over time. Given that both financial sector capacity and renewable energy transitions are dynamic processes, the analysis explicitly applies econometric techniques designed to capture temporal changes and investment inertia. Using panel data econometric techniques, including fixed effects models with cluster-robust standard errors and dynamic panel estimation (Arellano-Bond GMM), the analysis covers 64 countries from 2000 to 2020. The results reveal that greater insurance sector assets positively correlate with higher renewable energy consumption, with a coefficient of 0.143 (p < 0.01) in the fixed effects model. Still, the strength and significance of this relationship are notably enhanced when feed-in tariffs are in place, as shown by a positive and statistically significant interaction term (coefficient 0.051, p < 0.05) after adding time-fixed effects. The empirical results show that insurance companies can serve as critical institutional investors in the renewable energy sector. Still, their active participation critically depends on supportive policy frameworks, with the positive association between insurance company assets and renewable energy consumption becoming significant, particularly in countries with feed-in tariff schemes.
Acknowledgment
This study was prepared as part of the project IZURZ1_224119/1 (Swiss National Science Foundation) and the National Scholarship Programme of the Slovak Republic.
The publication was funded by the European Union grant “NextGenerationEU through the Recovery and Resilience Plan for Slovakia” (No. 09I03-03-V01-00130) and project VEGA – 1/0392/23 “Changes in the approach to the creation of companies’ distribution management concepts influenced by the effects of social and economic crises caused by the global pandemic and increased security risks.”
- Keywords
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JEL Classification (Paper profile tab)G22, Q42, Q48, O13, C23
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References62
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Tables7
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Figures0
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- Table 1. Variables and sources
- Table 2. Summary statistics
- Table 3. Outputs of fixed effects and random effects models
- Table 4. Fixed effects regression with cluster-robust standard errors
- Table 5. Outputs of the fixed effects model with and without year effects
- Table 6. Country-specific fixed effects
- Table A1. List of countries included in the analysis
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