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Published on: September 2, 2016
Policy options to support biofuel production.
1Faculty of Forestry, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada. warren.mabee@ubc.ca
Government funding significantly boosted the early development of the bioethanol industry in the US. Tax incentives for biofuel use, however, did not drive production capacity growth.
Area of Science:
- Agricultural Science
- Energy Policy
- Environmental Science
Background:
- Biofuels have been produced for transportation since the 1970s, with current dominant types including bioethanol and biodiesel.
- Emerging technologies aim to utilize lignocellulosic feedstocks, expanding biofuel production possibilities.
- Policy measures such as mandates, tax incentives, and direct funding are crucial for biofuel industry growth.
Purpose of the Study:
- To review global policies supporting the establishment of the biofuel industry.
- To analyze the impact of direct funding and excise tax exemptions on biofuel production in the United States.
Main Methods:
- A case study approach focusing on the United States biofuel sector.
- Examination of policy interventions, specifically direct funding programs and tax exemptions.
- Correlation analysis between policy support and the development of bioethanol production capacity in key states.
Main Results:
- The success of major bioethanol producing states in the US is strongly linked to initial direct funding for the industry.
- Excise tax exemptions on bioethanol consumption did not demonstrate a significant impact on the expansion of production capacity.
- External factors like biomass availability, industry activity, and energy prices are critical for sustained success.
Conclusions:
- Successful biofuel industry development relies on a combination of well-designed policy interventions and favorable external conditions.
- Direct financial support during the start-up phase is a key driver for establishing biofuel production capacity.
- Policy effectiveness is contingent on broader economic and resource availability factors.
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