4.8 Article

Decomposition and measurement of the rebound effect: The case of energy efficiency improvements in Spain

期刊

APPLIED ENERGY
卷 306, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.apenergy.2021.117961

关键词

Rebound effect; Input-output; Energy consumption; Energy efficiency; Spain

资金

  1. Andalusian Regional Gov-ernment [SEJ-132]
  2. Catedra de Economia de la Energia y del Medio Ambiente - Red Electrica de Espana at the University of Seville
  3. FEDER/Ministerio de Ciencia e Innovacion - Agencia Estatal de Investigacion [RTI2018-096725-B-I00]
  4. Departamento de Analisis Economico y Economia Politica (Department of Economic Analysis and Political Economy at the University of Seville)
  5. Universidad Autonoma de Chile
  6. Andalusian Regional Government [SEJ-566]

向作者/读者索取更多资源

This study uses Structural Decomposition Analysis to investigate the rebound effect, finding the total rebound effect caused by energy efficiency improvements in Spain from 2000 to 2014, as well as the direct, indirect, and economy-wide rebound effects. The results show that the rebound effect varies among different sectors and economic scopes.
The rebound effect caused by energy efficiency improvements demands greater attention from energy policy-makers as it represents an important obstacle to energy consumption reduction measures. Despite the emerging literature about the rebound effect, no studies to date have managed to break down it. To do so, this study introduces the disruptive innovation of replacing the Logarithmic Mean Divisia Index method used in previous literature with Structural Decomposition Analysis. Based on Input-Output tables, a re-spending model allows us to assess the Indirect Rebound Effect for 14 productive sectors. Finally, Structural Decomposition Analysis enables us to determine the Economy-Wide Rebound Effect caused by energy efficiency improvements. As far as we are aware, no other study to date has done so. Spain is used as a case study for the 2000-2014 period. Major findings indicate that total rebound effect varies from nearly to 10% to around 50%. The part of rebound explained by Direct rebound effect is around 10%. Indirect rebound effect shows values between 1.2% and 1.8%. Finally, Economic wide rebound effect varies from -4.51% to around 40% but without showing a clear trend for the period considered. The novelty of this study is that it attempts to break the overall rebound effect down to the direct, indirect, and economic wide rebound effect by combining the Cobb-Douglas production function and decomposition techniques.

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