Logistic regression models of factors influencing the location of bioenergy and biofuels plants

  • Authors: Young, T.M.; Zaretzki, R.L.; Perdue, J.H.; Guess, F.M.; Liu, X.
  • Publication Year: 2011
  • Publication Series: Scientific Journal (JRNL)
  • Source: Journal

Abstract

Logistic regression models were developed to identify significant factors that influence the location of existing wood-using bioenergy/biofuels plants and traditional wood-using facilities. Logistic models provided quantitative insight for variables influencing the location of woody biomass-using facilities. Availability of "thinnings to a basal area of 31.7m2/ha," "availability of unused mill residues," and "high density of railroad availability" had positive significant influences on the location of all wood-using facilities. "Median family income," "population," "low density of railroad availability," and "harvesting costs for logging residues" had negative significant influences on the location of all wood-using facilities. For larger woody biomass-using mills (e.g., biopower) availability of "thinnings to a basal area of 79.2m2/ha," "number of primary and secondary wood-using mills within an 128.8km haul distance," and "amount of total mill residues," had positive significant influences on the location of larger wood-using facilities. "Population" and "harvesting costs for logging residues" have negative significant influences on the location of larger wood-using facilities. Based on the logistic models, 25 locations were predicted for bioenergy or biofuels plants for a 13-state study region in the Southern United States.

  • Citation: Young, T.M.; Zaretzki, R.L.; Perdue, J.H.; Guess, F.M.; Liu, X. 2011. Logistic regression models of factors influencing the location of bioenergy and biofuels plants. BioResources 6(1): 329-343.
  • Keywords: Bioenergy, Biofuels, Optimal sitting, Logistic regression models
  • Posted Date: August 29, 2011
  • Modified Date: September 8, 2011
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