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Net present value analysis to select public R&D programs and valuate expected private sector participation.
1Center for Renewable Fuels and Biotechnology, National Renewable Energy Laboratory, Golden, CO 80401-3393, USA.
Applied Biochemistry and Biotechnology
|April 1, 1997
Summary
Governments can maximize public benefit by using net present value (NPV) analysis to select technology research and development (R&D) programs. This investment analysis approach optimizes taxpayer dollar allocation for greater social return.
Area of Science:
- Public Finance and Economics
- Technology Management
- Investment Analysis
Background:
- Governments invest taxpayer funds in projects for social benefit, including technology development programs.
- Effective selection of public programs is crucial for minimizing tax costs and maximizing societal returns.
- Standard investment analysis techniques are applicable to public sector investment decisions.
Purpose of the Study:
- To describe the application of net present value (NPV) analysis for selecting public research and development (R&D) programs.
- To demonstrate how NPV analysis can evaluate expected private sector involvement in public R&D initiatives.
Main Methods:
- Utilized net present value (NPV) analysis as the primary investment appraisal technique.
- Applied NPV to assess the financial viability and social benefit of public R&D program selection.
- Incorporated valuation of private sector participation within the NPV framework.
Main Results:
- Net present value (NPV) analysis provides a robust method for selecting public R&D programs.
- The approach effectively quantifies the expected social benefits derived from taxpayer investments.
- Valuation of private sector engagement using NPV can enhance program efficiency and outcomes.
Conclusions:
- Implementing net present value (NPV) analysis is recommended for optimizing public R&D investments.
- This method ensures efficient allocation of taxpayer resources, maximizing social return on investment.
- NPV analysis facilitates informed decision-making for public technology development programs.

