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Determinants of per commercial and industrial customer electricity consumption in the United States for the period 2001 to 2005/ created by Richard J. Cebula

By: Material type: TextTextSeries: Applied economics letters ; Volume 20, number 2New York: Taylor and Francis, 2013Content type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISSN:
  • 13504851
Subject(s): LOC classification:
  • HB1.A66 APP
Online resources: Abstract: This empirical study focuses on identifying the key economic factors and other conditions that have influenced the per customer commercial and industrial consumption of electricity in the United States during recent years. Unlike most previous studies, this study uses a 5-year state-level panel data set for the period 2001 to 2005. The Panel Least Squares (PLS) estimation provided in this study implies that per commercial and industrial customer electricity consumption is an increasing function of the annual number of Cooling Degree Days (CDDs), per capita real disposable income (a de facto ‘control’ variable) and the peak summer electricity-generating capacity. Furthermore, per commercial and industrial customer electricity consumption is a decreasing function of the average real unit price of electricity to commercial and industrial enterprises and the degree of each state's commitment to energy efficiency programmes, as reflected in an ‘LEEP’ score, where the term ‘LEEP’ stands for Level of Energy Efficiency Programmes. The latter result provides evidence that public policies to promote energy efficiency have yielded at least some benefits in terms of reducing commercial and industrial electricity consumption.
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Item type Current library Call number Vol info Copy number Status Notes Date due Barcode
Journal Article Journal Article Main Library - Special Collections HB1.A666 APP (Browse shelf(Opens below)) Vol. 20, no.2 (pages 114-118) SP17971 Not for loan For in house use only

This empirical study focuses on identifying the key economic factors and other conditions that have influenced the per customer commercial and industrial consumption of electricity in the United States during recent years. Unlike most previous studies, this study uses a 5-year state-level panel data set for the period 2001 to 2005. The Panel Least Squares (PLS) estimation provided in this study implies that per commercial and industrial customer electricity consumption is an increasing function of the annual number of Cooling Degree Days (CDDs), per capita real disposable income (a de facto ‘control’ variable) and the peak summer electricity-generating capacity. Furthermore, per commercial and industrial customer electricity consumption is a decreasing function of the average real unit price of electricity to commercial and industrial enterprises and the degree of each state's commitment to energy efficiency programmes, as reflected in an ‘LEEP’ score, where the term ‘LEEP’ stands for Level of Energy Efficiency Programmes. The latter result provides evidence that public policies to promote energy efficiency have yielded at least some benefits in terms of reducing commercial and industrial electricity consumption.

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