This project focuses on the integration of engineering, environmental, economic, and policy concepts in the context of biofuels tax policy. A detailed survey of biofuels producers will be used to collect information on the nature of existing market failures. Multiple criteria will be identified and used to evaluate tax credit performance. To systematically design and assess different tax credits, a novel approach to evaluating industry effectiveness will be developed through a modified real options valuation model. While traditional real options models rely heavily on decision tree analysis and assume constant discount rates, contingent claims analysis (CCA) incorporates time dependent risk adjusted interest rates. With an extension of the risk adjustment process to include non-traditional business risks, such as political risk and environmental risk, new features will be developed and used in an extended industry-level CCA model. The model will then be used to extract industry trends and develop key metrics to measure tax credit effectiveness. To gain more detailed insight into the conclusions of the CCA model, the National Energy Modeling System software developed by the Energy Information Administration will be modified to accept various tax credit proposals and used to project the production, importation, conversion, consumption, and prices of biofuels. By combining both models, it will be possible to verify and assess the effectiveness of various tax proposals at multiple scales.

While a number of tax credits are in place to incentivize the production of renewable biofuels, the design and implementation of those credits has been done in a piecemeal fashion. This project will develop/adapt modeling tools and techniques for evaluating tax credit effectiveness. The overall goal is development of a toolbox that can enable a politically feasible, environmentally progressive, and business friendly biofuels tax codes re-design.

This project is supported under the NSF Science, Engineering and Education for Sustainability Fellows (SEES Fellows) program, with the goal of helping to enable discoveries needed to inform actions that lead to environmental, energy and societal sustainability while creating the necessary workforce to address these challenges. With SEES Fellows support, this project will enable a promising early career researcher to establish themselves in an independent research career related to sustainability.

Project Start
Project End
Budget Start
2012-08-01
Budget End
2015-07-31
Support Year
Fiscal Year
2012
Total Cost
$507,593
Indirect Cost
Name
Johns Hopkins University
Department
Type
DUNS #
City
Baltimore
State
MD
Country
United States
Zip Code
21218