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Assessing Renewable Energy Development Potential in Polish Voivodeships: A Comparative Regional Analysis

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  • Aleksander Wasiuta

    (Department of Economics, Faculty of Economics, University of Life Sciences in Poznan, Wojska Polskiego Str. 28, 60-637 Poznan, Poland)

Abstract

This work evaluates the renewable energy development potential of Polish voivodeships based on the TOPSIS method and spatial autocorrelation analysis. Data were obtained from the Polish Local Data Bank, covering 22 indicators in the field of economic, social, environmental, and energy related to renewable energy initiatives. The TOPSIS method was applied to construct a synthetic indicator for each voivodeship, facilitating a hierarchical ranking based on their proximity to an ideal solution representing optimal conditions. The results indicate that the Mazowiecki voivodeship leads the list in terms of renewable energy development potential, followed by Małopolskie i Pomorskie, and that this is mainly due to good economic conditions and large investments in renewable energy projects. Spatial autocorrelation analysis yielded a Moran’s I value of –0.1137 with a Z score of 0.303 and a p value of 0.752, suggesting a weak negative spatial autocorrelation that is not statistically significant. This implies that the distribution of renewable energy potential across voivodeships is largely random and is not influenced by spatial proximity. The study concludes that non-spatial factors play a more significant role in renewable energy development potential, offering valuable insights for policymakers and stakeholders to allow them to focus on economic and social variables when promoting renewable energy initiatives in Poland.

Suggested Citation

  • Aleksander Wasiuta, 2024. "Assessing Renewable Energy Development Potential in Polish Voivodeships: A Comparative Regional Analysis," Sustainability, MDPI, vol. 16(24), pages 1-20, December.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:24:p:11261-:d:1550044
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    2. Tingting Zheng & Chenchen Song & Liu Cao, 2025. "The Role of Policy Narrative Intensity in Accelerating Renewable Energy Innovation: Evidence from China’s Energy Transition," Energies, MDPI, vol. 18(11), pages 1-28, May.

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