The Global Energy Architecture Performance Index 2015: Methodological Addendum

The Global Energy Architecture Performance Index (EAPI) is a composite indicator designed to measure and compare the energy system performance of countries across three dimensions: economic growth and development, environmental sustainability, and energy access and security. Each dimension is composed of six indicators, for a total of 18. The methodology prioritizes output-oriented data over input data to ensure reliability and reusability. The index uses normalization methods such as min-max and percentile rankings to aggregate these indicators into a final score. Recent methodological updates include a recalibration of the PM10 normalization and a shift in the CO2 emissions indicator to measure emissions per kWh produced rather than per capita to avoid population-based distortions. The document also includes raw data for a wide range of countries across all 18 indicators.

• The EAPI is a composite indicator that evaluates energy system performance based on 18 indicators divided into three equal-weighted sub-indices: Economic growth and development, Environmental sustainability, and Energy access and security.
• The index exclusively utilizes output-oriented indicators, which measure the quantity of energy-related goods or services produced and production efficiency, rather than input indicators that measure financial or human resources deployed.
• To maintain data integrity, the EAPI uses the latest available data point when a specific year's data is missing to avoid extrapolation; countries are excluded if they have more than three missing data points in total.
• The CO2 emissions indicator was revised to calculate scores based on total CO2 emissions from electricity generation per kWh produced, replacing a per capita measure that the authors argued could distort data based on population size.
• A new indicator for methane emissions was introduced because the energy sector is the second-largest contributing sector to methane emissions, primarily due to flaring and venting inefficiencies.
• The index introduced a diversification of import counterparts indicator using the Herfindahl index to assess energy security based on the number and distribution of a country's trade partners.
• The 2014/2015 update involved a recalibration of the model, including revisions to the weighting of some indicators and the normalization approach for PM10, which precluded direct comparisons with previous EAPI editions.

APA

World Economic Forum (2015). The Global Energy Architecture Performance Index 2015: Methodological Addendum. http://www3.weforum.org/docs/WEF_GlobalEnergyArchitecturePerformance_Index_2015.pdf

Chicago

World Economic Forum. The Global Energy Architecture Performance Index 2015: Methodological Addendum. 2015. http://www3.weforum.org/docs/WEF_GlobalEnergyArchitecturePerformance_Index_2015.pdf.

Wikipedia

{{cite report |author=World Economic Forum |title=The Global Energy Architecture Performance Index 2015: Methodological Addendum |date=2015 |url=http://www3.weforum.org/docs/WEF_GlobalEnergyArchitecturePerformance_Index_2015.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{worldeconomicforum2015global, author = {{World Economic Forum}}, title = {{The Global Energy Architecture Performance Index 2015: Methodological Addendum}}, institution = {World Economic Forum}, year = {2015}, url = {http://www3.weforum.org/docs/WEF_GlobalEnergyArchitecturePerformance_Index_2015.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }