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Woody biomass utilization policies: State rankings for the U.S

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  • Guo, Zhimei
  • Hodges, Donald G.
  • Young, Timothy M.

Abstract

Most state governments have adopted state programs and laws recently that provide fiscal incentives and non-fiscal supports for renewable energy projects in the hope that they will encourage the establishment of new bioenergy industry and economic growth. This research analyzes the disparity in the strength of state government incentives in the use of woody biomass. A woody biomass policy index was created through scoring and weighting different categories of policies based on the potential effects on site location decisions. Results indicate that as of 2008 Iowa, North Carolina, and Washington provided the strongest incentives, whereas Wyoming, Mississippi, and Virginia offered the weakest support to the bioenergy industry using woody biomass. This index is not only helpful for new business investors in making siting decisions, but also for state policy makers considering new woody biomass relevant legislation to spur the bioenergy industry.

Suggested Citation

  • Guo, Zhimei & Hodges, Donald G. & Young, Timothy M., 2012. "Woody biomass utilization policies: State rankings for the U.S," Forest Policy and Economics, Elsevier, vol. 21(C), pages 54-61.
    • Handle: RePEc:eee:forpol:v:21:y:2012:i:c:p:54-61
    DOI: 10.1016/j.forpol.2012.03.002
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    References listed on IDEAS

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    Cited by:

    1. Ebers Broughel, Anna, 2019. "Impact of state policies on generating capacity for production of electricity and combined heat and power from forest biomass in the United States," Renewable Energy, Elsevier, vol. 134(C), pages 1163-1172.
    2. Pokharel, Raju & Latta, Gregory S., 2020. "A network analysis to identify forest merchantability limitations across the United States," Forest Policy and Economics, Elsevier, vol. 116(C).
    3. Alkan, Ömer & Albayrak, Özlem Karadağ, 2020. "Ranking of renewable energy sources for regions in Turkey by fuzzy entropy based fuzzy COPRAS and fuzzy MULTIMOORA," Renewable Energy, Elsevier, vol. 162(C), pages 712-726.

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