References (35)



What Trends in Energy Efficiencies? Evidence from a Robust Test

Yannick Le Pen

Université Paris Dauphine

Benoît Sévi

University of Nantes

May 12, 2009

A proper modeling of the long-run behavior of energy and oil intensities is crucial for many reasons. This paper aims at checking whether this long-run behavior should be modelled as a deterministic or a stochastic trend, or both. We firstly apply a test for a deterministic trend robust to uncertainty about the stochastic trend. Our results indicate that, for the period 1960-2004, energy intensities of only 8 OECD countries out of 25 include a negative deterministic trend, 3 include a positive one and 14 seem to be better modelled using a stochastic trend. When considering a sample of 73 non-OECD countries over the period 1971-2004, we show that only 22 exhibit a deterministic trend (negative for 15 countries and positive for 7 countries). A similar analysis for oil intensity leads to reject the hypothesis of an insignificant deterministic trend for 7 OECD countries out of 23 for the period 1965-2004 and 11 non-OECD countries out of 40 for the period 1971-2004. In the next step, we apply standard unit root tests and find that the unit root hypothesis is not very often rejected. We conclude that a main feature of energy intensities is the presence of a stochastic trend.

Number of Pages in PDF File: 17

Keywords: Energy intensity, oil intensity, deterministic linear trend, stochastic trend

JEL Classification: C22, O40, Q43

Open PDF in Browser Download This Paper

Date posted: May 18, 2009 ; Last revised: January 18, 2017

Suggested Citation

Le Pen, Yannick and Sévi, Benoît, What Trends in Energy Efficiencies? Evidence from a Robust Test (May 12, 2009). Available at SSRN: https://ssrn.com/abstract=1403466 or http://dx.doi.org/10.2139/ssrn.1403466

Contact Information

Yannick Le Pen
Université Paris Dauphine ( email )
Place du Maréchal de Lattre de Tassigny

Benoît Sévi (Contact Author)
University of Nantes ( email )
1, quai de Tourville BP
Nantes Cedex 1
Nantes, 44313
HOME PAGE: http://www.iemniae.univ-nantes.fr/sevi-b/0/fiche___annuaireksup/
Feedback to SSRN

Paper statistics
Abstract Views: 334
Downloads: 114
Download Rank: 192,930
References:  35