Factors affecting wood energy consumption by U.S. households
AbstractAbout 23% of energy derived from woody sources in the U.S. was consumed by households, of which 70% was used by households in rural areas in 2005. We investigated factors affecting household-level wood energy consumption in the four continental U.S. regions using data from the U.S. Residential Energy Consumption Survey. To account for a large number of zero observations (i.e., households that do not burn wood), left-censored Tobit models were estimated. Urban/rural location is a key determinant of level of household wood energy consumption. Wood energy consumption elasticity with respect to non-wood energy price changes was 1.55 at the U.S. level, and a much higher 2.30 among rural households. While household wood energy consumption was affected primarily by non-wood energy price in rural areas, it was influenced mainly by household size and level of income in urban areas. Elasticity of wood energy consumption with respect to income can be positive or negative depending on household urban/rural location, region and income level. Newer houses were found to use less wood energy than older ones, and greater urbanization was found to have negative effect on wood energy use. Our findings suggest that policies reducing relative wood energy cost or increasing non-wood energy prices in the residential sector will result in greater wood energy consumption in the U.S. The effect of policies may vary by region and are likely to be more effective in U.S. rural areas and in the U.S. Midwest in particular.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Elsevier in its journal Energy Economics.
Volume (Year): 34 (2012)
Issue (Month): 2 ()
Contact details of provider:
Web page: http://www.elsevier.com/locate/eneco
Woody biomass; Bioenergy; Residential energy consumption; Demand; Tobit;
Find related papers by JEL classification:
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models
- D10 - Microeconomics - - Household Behavior - - - General
- Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
- Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
- Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Song, Nianfu & Aguilar, Francisco X. & Shifley, Stephen R. & Goerndt, Michael E., 2012. "Analysis of U.S. residential wood energy consumption: 1967–2009," Energy Economics, Elsevier, vol. 34(6), pages 2116-2124.
- Couture, Stéphane & Garcia, Serge & Reynaud, Arnaud, 2012.
"Household energy choices and fuelwood consumption: An econometric approach using French data,"
Elsevier, vol. 34(6), pages 1972-1981.
- Stéphane Couture & Serge Garcia & Arnaud Reynaud, 2011. "Household Energy Choices and Fuelwood Consumption: An Econometric Approach using French Data," Working Papers - Cahiers du LEF 2011-03, Laboratoire d'Economie Forestiere, AgroParisTech-INRA.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei).
If references are entirely missing, you can add them using this form.