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

机译:美国分类能耗与工业生产之间的关系:ARDL方法

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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.
机译:我们使用Pesaran和Pesaran [Pesaran,MH,Pesaran,B.,1997.工作的自回归分布滞后(ARDL)方法,重新审查了美国总能耗与工业产出以及就业之间的关系。使用Microfit 4.0。 Camfit Data Ltd(剑桥)和Pesaran,Shin和Smith [Pesaran,M.H.,Shin,Y.,Smith,R.J.,2001年。界线测试方法,用于分析水平关系。应用计量经济学杂志16; [289-326],我们特别关注以下能源消耗变量:煤炭,化石燃料,常规水力发电,太阳能,风能,天然气,木材和废物。采样期为2001:1-2005:6。我们的结果表明,从长期来看,实际产出和就业是几乎所有分类能耗的测度变量。

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