The relationship between disaggregate energy consumption and industrial production in the United States: An ARDL approach

被引：255

作者：

Sari, Ramazan ^{[1
,2
]}

Ewing, Bradley T. ^{[3
]}

Soytas, Ugur ^{[1
]}

机构：

[1] Middle E Tech Univ, Dept Business Adm, TR-06531 Ankara, Turkey

[2] Abant Izzet Baysal Univ, Dept Econ, TR-14280 Bolu, Turkey

[3] Texas Tech Univ, Rawls Coll Business, Lubbock, TX 79409 USA

来源：

ENERGY ECONOMICS | 2008年 / 30卷 / 05期

关键词：

disaggregate energy consumption; industrial output; autoregressive distributed lag;

D O I：

10.1016/j.eneco.2007.10.002

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

We re-examine the relationship between disaggregate energy consumption and industrial output, as well as employment, in the United States using the autoregressive distributed lag (ARDL) approach developed by Pesaran and Pesaran [Pesaran, M.H., Pesaran, B., 1997. Working with Microfit 4.0. Camfit Data Ltd, Cambridge] and Pesaran, Shin and Smith [Pesaran, M.H., Shin, Y., Smith, R.J., 2001. Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics 16; 289-326] In particular, we focus attention on the following energy consumption variables: coal, fossil fuels, conventional hydroelectric power, solar energy, wind energy, natural gas, wood, and waste. The sample period covers 2001:1-2005:6. Our results imply that real output and employment are long run forcing variables for nearly all measures of disaggregate energy consumption. (C) 2007 Elsevier B.V All rights reserved.

引用

页码：2302 / 2313

页数：12