A Decomposition of the Energy Intensity Change in Spanish Manufacturing
Pablo Arocena (),
Antonio Gómez-Plana and
Sofía Peña ()
Additional contact information
Pablo Arocena: Universidad Pública de Navarra
Sofía Peña: Universidad Pública de Navarra
Chapter Chapter 15 in Advances in Efficiency and Productivity, 2016, pp 365-390 from Springer
Abstract:
Abstract The excessive consumption of energy has become a major economic and environmental concern in many countries over the last two decades. A country’s energy performance is typically proxied by the rate of aggregate energy intensity, calculated as the ratio of energy consumed to GDP. The index number decomposition analysis is the usual approach to analyze the changes in a country’s aggregate energy intensity. In this paper we analyze the energy intensity change as well as the energy efficiency change by combining the index decomposition analysis approach with non-parametric frontier efficiency methods. We apply this framework to decompose and analyze the sources of the change observed in the energy intensity of Spanish manufacturing industries during the period 1999–2007.
Keywords: Energy intensity; Energy efficiency; Technical change; Index decomposition analysis; Frontier methods (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (1)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-319-48461-7_15
Ordering information: This item can be ordered from
http://www.springer.com/9783319484617
DOI: 10.1007/978-3-319-48461-7_15
Access Statistics for this chapter
More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().