Template-Type: ReDIF-Article 1.0
Author-Name:  J. Barrera-Santana, G.A. Marrero, and F.J. Ramos-Real
Title:  Energy Efficiency and Energy Governance: A Stochastic Frontier Analysis Approach
Classification-JEL: F0
Volume:  Volume 43
Issue:  Number 6
Year:  2022
Abstract:  This work analyzes the impact of energy governance on energy efficiency in a set of 29 OECD countries. A Stochastic Frontier Analysis (SFA) approach is conducted to estimate the energy efficiency levels in this sample of countries between 2000 and 2015. Energy governance is measured by an Energy Efficiency Governance Index (EEGI) constructed in Barrera-Santana et al. (2020). The results suggest that increasing the average quality of energy governance by 10% could raise energy efficiency levels by around 9.20%, according to the estimate of our preferred SFA model. To achieve this outcome there are two key requirements: set quantified and achievable targets, and carry out an extensive evaluation of the results of energy policies. Our results are robust to different econometric approaches and variations of the EEGI. 
Handle: RePEc:aen:journl:ej43-6-Santana
File-URL: http://www.iaee.org/en/publications/ejarticle.aspx?id=3911
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