Spatial interaction models for biomass consumption in the United States

Sicong Wang and Shifeng Wang

Energy, 2011, vol. 36, issue 11, 6555-6558

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.

Keywords: Renewable energy; Biomass consumption; Spatial interaction; Geographical influence (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:36:y:2011:i:11:p:6555-6558

DOI: 10.1016/j.energy.2011.09.009

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