Spatial interaction models for biomass consumption in the United States

Sicong Wang, Shifeng Wang

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Five alternative spatial interaction patterns of biomass consumption in the United States in 2005 are compared using the spatial autoregressive model. The influences of geographical locations, biomass price and income on biomass consumption are translated into the spatial weight matrices of spatial autoregressive model. The results indicate that not only the geographical locations but also both the biomass price and the income significantly affect spatial interaction among biomass consumption in the United States. The results also show that spatial interaction among biomass consumption in the United States becomes weaker with the farther neighbor states. Spatial interaction among biomass consumption incurred by the income becomes stronger than that incurred by the biomass price. When the influences of both the biomass price and the income are combined together into the hybrid spatial autoregressive model, spatial interaction among biomass consumption is the strongest.

Original languageEnglish
Pages (from-to)6555-6558
Number of pages4
JournalEnergy
Volume36
Issue number11
Early online date29 Sep 2011
DOIs
Publication statusPublished - Nov 2011
Externally publishedYes

Bibliographical note

Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.

Keywords

  • Biomass consumption
  • Geographical influence
  • Renewable energy
  • Spatial interaction

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Pollution
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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