Does fiscal decentralization foster renewable electricity generation? A panel data study of OECD countries

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As the global community intensifies efforts to transition toward sustainable energy systems, the role of institutional and fiscal arrangements in fostering renewable energy has gained increasing attention. This study aims to assess whether fiscal decentralization contributes to the expansion of renewable electricity generation in OECD countries by analyzing panel data and identifying the direction and significance of this relationship. Utilizing a panel dataset of 34 countries spanning 2000–2023, the analysis employs a fixed-effects regression model with Driscoll-Kraay standard errors. It includes a one-year lag of fiscal variables to ensure robustness. The findings reveal a statistically significant but modest negative relationship between the share of subnational revenues in GDP and the share of renewables in electricity generation, suggesting that greater fiscal decentralization may not automatically incentivize renewable energy adoption. More specifically, the fixed-effects model corrected for heteroskedasticity and autocorrelation indicates that the coefficient for lagged subnational revenue (as a percentage of GDP) is negative and marginally significant (p ≈ 0.057), hinting at a potential delayed inhibitory effect. Additionally, country-level fixed effects demonstrate substantial heterogeneity, with nations like Iceland, Norway, and Canada showing systematically higher renewable electricity shares, regardless of fiscal structure. These results underscore the importance of complementary institutional frameworks and national coordination mechanisms to ensure that decentralization effectively supports climate policy goals.

Acknowledgment
This study was carried out within the framework of a research grant awarded by the Swiss National Science Foundation (grant no. IZURZ1_224119/1) and 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”.

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    • Figure 1. Box-Cox transformation test applied to variable y
    • Figure 2. Q-Q plots for the original variable y and its Box-Cox transformed version
    • Figure 3. Q-Q plots for the variable x1
    • Figure 4. Q-Q plots for the variable x2
    • Table 1. Variables and their sources
    • Table 2. Descriptive statistics for variables
    • Table 3. Outputs of the FE and RE models of interrelations
    • Table 4. The t-test of the coefficients of the FE model incorporating a year lag of x2
    • Table 5. Country-specific fixed effects (intercept shifts)
    • Conceptualization
      Serhiy Lyeonov, Oksana Okhrimenko, Artem Artyukhov, Mariia Saiensus, Iuliia Myroshnychenko, Yuliia Yehorova, Oleksii Havrylenko
    • Data curation
      Serhiy Lyeonov, Oleksii Havrylenko
    • Formal Analysis
      Serhiy Lyeonov, Iuliia Myroshnychenko
    • Investigation
      Serhiy Lyeonov
    • Methodology
      Serhiy Lyeonov
    • Software
      Serhiy Lyeonov, Mariia Saiensus
    • Supervision
      Serhiy Lyeonov
    • Validation
      Serhiy Lyeonov
    • Visualization
      Serhiy Lyeonov, Oksana Okhrimenko
    • Writing – original draft
      Serhiy Lyeonov, Oksana Okhrimenko, Artem Artyukhov, Mariia Saiensus, Iuliia Myroshnychenko, Yuliia Yehorova, Oleksii Havrylenko
    • Writing – review & editing
      Serhiy Lyeonov, Oksana Okhrimenko, Artem Artyukhov, Mariia Saiensus, Iuliia Myroshnychenko, Yuliia Yehorova, Oleksii Havrylenko
    • Project administration
      Artem Artyukhov
    • Resources
      Artem Artyukhov, Yuliia Yehorova
    • Funding acquisition
      Yuliia Yehorova