Spatial Analysis of Energy Communities and Vulnerability in Spain
Description
The central research question is: “In what socio-economic contexts linked to energy vulnerability collective action initiatives (CAIs) are distributed at the sub-regional level, and does this vary by type and scale of energy infrastructure?”. The study pursues three objectives: (1) allocate and map CAIs from knowledge inventories and local energy infrastructure configurations; (2) conduct evidence-based spatial analysis connecting socio-economic and energy vulnerability-related indicators with CAIs’ local energy configurations in Spain (3) apply parallel statistical normalization and standardization methods to compare and interpret energy vulnerability context across mapped units of Spanish municipalities. The data represent mined, mapped and cleaned tabular data focusing on 8,131 municipalities across 52 provinces within Spain's 17 Autonomous Communities, used for aggregated spatial analysis. All_Spain_merged_table.csv contains: - socio-economic indicators referred to energy vulnerability as energy justice analytical application [Atlas de distribución de renta de los hogares 2021; Population and Housing Census 2021; Atlas de la edificación residencial2011]; - allocated Collective Action Initiatives (CAIs) from ENBP All-European Inventory database [https://doi.org/10.18710/2CPQHQ]; and - municipal electricity energy generation mix, that has been processed from the Spanish public administrative register of electric power production facilities of Spain [https://energia.serviciosmin.gob.es/Pretor/] (67,868 registered records on Feb 2023). Simplified_categories_of REGISTER_by_Real Decreto 413_2014.xls: - categories explained used to codify exported data from the administrative register of electric power production facilities. CAIs_and_Indicators_Correlation_Table.html: - bivariate correlation analysis matrix of collected indicators for CAIs subsample. Note: the 60M indicator’s (share of population below 60% of median income) limited data coverage (available for 49% of all municipalities and 77% of those with CAIs) restricted further analysis and was excluded from further mapping of categorized energy vulnerability based on SVI. Data availability for economic indicators varied, ranging from 82% (Gini index, mean income per household) to 99% (mean income per person); thus, missing values were estimated using linear regression (starting from version 3) to ensure a more complete dataset for analysis. Earlier versions of the CAIs_Sample.csv file contained discrepancies: missing economic indicator values (Gini and income) were incorrectly set to zero instead of treated as missing, and PV indicators showed shifted values across municipalities compared to the reference dataset. In version 4, missing values for all indicators were properly estimated using linear regression. The full-country sample file remained the reference throughout all versions. These issues have now been corrected, with limited indicators adjusted as described above.
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Funding
European Commission
847624