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The Small Business Innovation Research Program

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Title: The Small Business Innovation Research Program


1
The Small Business Innovation Research Program
  • ?
  • Virginia Commercialization Workshop
  • July 31, 2003
  • Virginia Commonwealth University
  • Richmond, Virginia
  • Charles Wessner, Ph.D.
  • Director, Innovation and Technology
  • National Research Council

2
Presentation
  • Government Support for RD in Industry
  • Fostering Science-Based Growth
  • Policy Myths and Market Realities
  • Capital Market Imperfections
  • U.S. Policies for Innovation-Led Growth
  • Public Programs to Finance Entrepreneurs Small
    BusinessesSBIR
  • Roles, Structure, Perspectives, Contributions
  • The NRC Evaluation
  • Conclusions

3
The U.S. National Academies
NAS
  • The NRC is the Operating Arm of the National
    Academies, which includes the Board on Science,
    Technology, and Economic Policy (STEP)
  • The NRC Mission is to Advise the Government and
    the Nation on Science, Engineering, and Medicine.

NAE
IOM
NRC
4
Basic Research Recognized as Key to Sustained
Long-Run Growth
  • Basic Research Underpins Science-Based Growth
  • Basic Research is key in supplying a steady
    stream of fresh and new ideas
  • Ideas if effectively transferred to the private
    sector, can become innovations
  • With the right policy support, innovations can
    become commercial products driving growth
  • Basic research is essential, but it is not
    enough!
  • Developing incentives to spur innovative ideas
    for new products is a central policy challenge

5
Significance of Pubic Support forEarly-Stage
Technology Development
  • Early-Stage Technology Development
  • Over time transforms nations portfolio of
    science engineering knowledge into innovations
  • Generates new markets and industries
  • Large returns to long-term economic growth with
    one relatively small national investment
  • Branscomb Auerswald

6
Government Support for RD in Industry A Key
Element in an Innovation System, but often
Controversial in the United States
7
Precedents for Public Role in Science
Commercialization
  • 1798 - Grant to Eli Whitney to produce muskets
    with interchangeable parts, founds first machine
    tool industry
  • 1842 - Samuel Morse receives award to demonstrate
    feasibility of telegraph
  • 1915 National Advisory Committee for
    Aeronautics instrumental in rapid advance in
    commercial and military aircraft technology
  • 1919 - RCA founded on initiative of U.S. Navy
    with commercial and military rationale. Patent
    pooling, antitrust waiver and equity
    contributions.
  • 1940s, 50s, 60s - Computers, Semiconductors,
    Satellites
  • 1969-1990s - Government investment in forerunners
    of the Internet (Arpanet) Global Positioning
    Satellite
  • Today Current investments in genomic/biomedical
    research

8
Myths and Realities aboutGovernment Support of
Industry RD
8
Charles W. Wessner, Ph.D.
9
Policy Myths Market Realities
  • The Myth of Linear Innovation
  • The Myth of Military Spin-Offs
  • The Myth of Perfect Markets
  • The Myth of the Venture Capital Solution

Charles W. Wessner, Ph.D.
9
10

The Myth of the Linear Model of Innovation
  • Myth Innovation is a Linear Process

Basic Research
Applied Research
Development
Commercialization
  • Reality Innovation is a Complex Process
  • Major overlap between Basic and Applied Research,
    as well as between Development and
    Commercialization
  • Many Unexpected Outcomes
  • Principal Investigators and/or Patents and
    Processes are Mobile, i.e., not firm dependent
  • Presence of feedback loops suggest that
    technological breakthroughs may precede, as well
    as stem from, basic research

11


Non-Linear Model of Innovation
  • Quest for Basic Understanding
  • New Knowledge
  • Fundamental Ideas

Basic Research
  • Potential Use
  • Application of Knowledge to
  • a Specific Subject
  • Prototypicalization
  • Feedback
  • Basic Research
  • needed for discovery
  • Search for new
  • ideas and solutions to
  • solve longer term
  • issues
  • New
  • Unanticipated
  • Applications

Applied Research
  • Feedback
  • Applied Research
  • needed to design
  • new product
  • characteristics
  • Development of Products
  • Goods and Services

Development
  • Feedback Market Signals/
  • Technical Challenge
  • Desired Product Alterations
  • or New Characteristics
  • Cost/design trade-off

Commercial- ization
12
The Myth of Military Spin-Offs
  • Myth U.S. Defense Research/Procurement Directly
    Funds Civilian Technologies
  • Reality
  • Very few technologies proceeded effortlessly
    from defense conception to commercial
    application.
    Beyond Spin-off, John Alic, Lewis Branscomb, et
    al.
  • Efforts to use low-cost civilian technologies for
    defense use, i.e.,
    spin-ins, are often blocked by complicated
    military procurement system

13
The Myth of Perfect Markets
  • Myth If it is a good idea, the market will fund
    it.
  • Reality
  • Market participants have less than perfect
    knowledge, especially about innovative new ideas
  • Asymmetric Information leads to suboptimal
    investments
  • This means that it is hard for small firms to
    obtain funding for new ideas

14

The Valley of Death Early-Stage Funding Gap
Capital to Develop Ideas
Federally Funded Basic Research Creates New Ideas
To Innovation
Applied Research Innovation
No Capital
15
The Myth of U.S.Venture Capital Markets
  • Myth U.S. VC Markets are broad deep, thus
    there is no role for government awards
  • Reality Venture Capitalists have
  • Limited information on new firms
  • Prone to herding tendencies
  • Focus on later stages of technology development
  • Sharp Reduction in Available Capital
  • Large U.S. venture capital market is not focused
    on early-stage firms

16
Imperfections in the U.S. Innovation
SystemThe Current Collapse in Early-Stage
Finance

17
VC Markets More Risk Averse
Source PriceWaterhouseCoopers/Venture
Economics/National Venture Capital Association
Money Tree Survey, 2003
18
Breakdown of U.S. Venture Capital by Stage of
Development-2001
799 million
Total 41.284 billion
Source PricewaterCoopers, Venture Economics,
National Venture Capital Association, 2003
19
Breakdown of U.S. Venture Capital by Stage of
Development-2002
302.8 million
Total 21.179 billion
Source PricewaterCoopers, Venture Economics,
National Venture Capital Association, 2003
20
Average Deal Size Up Volume Down
  • Disadvantages Start-up Firms

13.0
9.7
8.8
7.0
6.3
5.1
4.6
4.1
4.3

Year to Date
Source PriceWaterhouseCoopers/Thomson Venture
Economics/NVCA MoneyTreeTM Survey
21
VC Investment Signs of Recovery
  • THE WALL STREET JOURNAL, July 29, 2003
  • Overall venture investing in Q-2 rose slightly to
    4.3 billion following 5-year low of 4 billion
    in Q-1 of 2003
  • Number of IPOs Up
  • Deal flow is improving
  • Investors eager to see 70 to 80 billion in VC
    pipeline put to work
  • Funding for Early Stage Companies Up 43 in Q-2

22
But Turnaround is not ImminentTHE WALL STREET
JOURNAL, July 29, 2003
  • "Is this a harbinger of a dramatic turnaround in
    venture capital investing? It's not likely."
  • Mark Heesen, President,
  • National Venture Capital Association.
  • Q-3 investments are Typically Slower
  • Little Fundraising Going On
  • Investments in Biotechnology Medical devices
    account for 76 of Q-2 up-tick

23
Challenges in the U.S. Innovation System Capital
  • Institutional Role of Venture Capital in
    Early-Stage Finance is Limited
  • Growth in Average Deal Size Works Against Small
    Firms
  • Increased Risk Aversion by Institutional
    Investors Works Against New Innovations,
    especially those in small firms
  • Trend in VC Finance is Negative

24
U.S. Policies for Innovation-Led Growth
  • An Enabling Environment

Charles W. Wessner, Ph.D.
24
25
U.S. Entrepreneurial Environment
  • A Key to Knowledge-Based Growth
  • Sources and Limitations
  • Drive for Ownership High Rates of Business
    Formation
  • High Value placed on business success
  • Low Regulatory barriers for entry
  • Ease of company formation
  • Pace of activity increases the effective value of
    capital
  • Access to early-stage financingvery important
  • Deep and Diverse Capital Markets Access to
    Capital
  • Substantial Growth in VC Funding, very rapid in
    late 1990s
  • Substantial Contraction since 2000trend is
    downwardsif stabilizing

26
Positive Policy Framework
  • Microeconomic Incentives for an Entrepreneurial
    Environment
  • Intellectual Property Regime Incentive for
    Invention
  • Tax Policy Incentive for High Risks
  • Regulatory Policy Low Regulation for New
    Entrants
  • Labor Flexibility Hire and Fire as Needed
  • Public-Private Partnerships
  • Innovation Awards
  • Industry Consortia
  • 3. Growing Role of Universities as Innovators
    Investors
  • Enabling Policy Framework with Incentives for
    Professors and Universities
  • Universities are (or have to become) more agile,
    more flexible, more diverse to encourage
    commercialization
  • ST Parks growing in importance
  • ST Parks
  • University-Industry Cooperation

27
U.S. Policies for Innovation-Led Growth
Public Programs to Finance Entrepreneurs and
Small Businesses
28
Programs to Bridge the Valley of Death
Uncertainty and Distance to Market
Startup Friends, Families Fools
Strategic research Curiosity research Applied
research
Seed Angel Investors
The Financial Valley of Death The Focus of
Federal Innovation Awards
Federal Innovation Awards
Need for Supportive Policy Framework
Prototype Product development Commercialisation
1st Round VC
2nd Round VC
Capital Allocation Curve
Business development Investment
Expansion
Total Allocated Resources
29
Role of Government in Early-Stage Technology
Development
  • Markets for Allocating Risk Capital to
    Early-Stage Technology Ventures are not Efficient
  • Most Early-Stage Funding comes from
  • Individual private-equity Angel investors
  • Corporations
  • Federal Government
  • Not Venture Capitalists!
  • Federal Technology Development funds can
    Complement Private Funds
  • More important than we thought

30
Estimated Distribution of Funding Sources for
Early-Stage Technology Development
Branscomb Auerswald, Between Invention and
Innovation An Analysis of Funding for Early-Stage
Technology Development, NIST, 2002
31
The Small Business Innovation Research Program
(SBIR)
  • Addresses Very-Early-Stage Financing
  • One Step on the Innovation Ladder

Charles W. Wessner, Ph.D.
31
32
  • The SBIR Program
  • Created in 1982, Renewed in 1992 2001
  • Participation by all federal agencies with an
    annual extramural RD budget of greater than 100
    million is mandatory
  • Agencies must set aside 2.5 of their RD budgets
    for small business awards
  • Currently a 1.6 billion per year program
  • Largest U.S. Partnership Program

33
SBIR Critical Source of Predictable Funding for
Early Stage Finance
  • SBIRMain Source of Federal Funding for Early
    Stage Technology Development


SBIR
  • SBIR over 85 of Federal Financial Support for
    Early Stage Development
  • SBIR over 20 of Funding for Early Stage
    Development from all Sources

Estimate of Federal Government Funding Flows to
Early Stage Technology DevelopmentBased on total
funding for ATP, SBIR STTR programs by
Branscomb and Auerswald 2002
34
Roles of SBIR
  • Stimulate Innovation
  • Introduces qualified Small Businesses into the
    Nation's RD Arena
  • Achieve National Missions
  • Applies Imagination and Ingenuity of Small Firms
    to Address National Needs
  • Stimulate GrowthSmall Businesses are a Major
    Source of Innovation and Jobs
  • Meet Nations Specific Research and Development
    needs by Harnessing Entrepreneurial Spirit
  • Draw Private Capital to Promising Firms
  • SBIR Award Reviews Signal Scientific and
    Commercial Value of Firms Innovation
  • Overcome Small Firm Disadvantage in Access in
    Federal Contracts
  • Small firms do not have the Resources to Monitor
    and Influence Agency decisions on Procurement
  • SBIR helps Small Firms Access the Government
    Procurement System, Bypassing Complex Regulations

35
SBIR-University Nexus can Promote Local Economic
Growth
  • Technology TransferSBIR, a bridge to help bring
    University Research to the Market
  • Initiative for professors to start firms to
    exploit commercial potential of laboratory
    findings
  • From software to molecules to rat cages
  • Vehicle for Collaboration between Local Firms and
    University Departments
  • E.g. Sensors Unlimited and Princeton University
    collaboration on Optoelectronics research
  • Princeton had the facilities, Sensors Unlimited
    had the engineers
  • Validates Research of Professors
  • The Porsche Effect attracts students
  • Commercial Outcomes from Research

36
SBIR
  • Common 3-Phase Approach
  • Commendable Flexibility in Administration

Charles W. Wessner, Ph.D.
36
37
  • SBIR 3-Phase funding approach
  • Phase I or Feasibility Phase
  • Competitive award of limited federal research
    funds for short-term investigation of scientific
    merit and feasibility
  • Up to 100,000 in funding
  • Normally up to 6 months to complete the first
    phase
  • Highly Competitiveonly 12 to 14 of submitted
    proposals receive Phase I awards

38
  • SBIR 3-Phase funding approach
  • Phase II or Prototype Phase
  • Selection emphasizes research projects with
    strong scientific merit and strong commercial
    merit
  • Maximum award level of 750,000
  • Sometimes more, e.g., for drug development
  • Typically restricted to two years for completion
  • Still Competitive
  • Only 40 of Phase I firms receive Phase II awards

39
  • SBIR 3-Phase funding approach
  • Phase III or Commercialization Phase
  • No additional SBIR program funding
  • Federal agencies can provide procurement funds,
    but the agency must finance Phase III using
    non-SBIR funds
  • Intent Product development and
    Commercialization arising from Phase II projects

40
SBIR Goals Vary Among Agencies
  • Multiple Program Goals
  • Commercialization and Research
  • Multiple Agency Goals
  • NIH
  • Research Tools, Medical Devices, Drug
    Development, and Audio-Visual Health Materials
  • DOD
  • Special Forces Equipment
  • Neural Network Processors for remotely piloted
    jets
  • Wireless Communications for Divers
  • Low-cost, High-performance Drones

41
SBIR Differs Among Agencies
  • Multiple Administrative Systems
  • Each agency typically has its own manner of
    choosing awardees and screening applications
  • Different metrics reflecting unique agency
    missions and needs
  • Different Metrics by industrial sector, e.g.,
    software vs. drug development vs. weapon
    components
  • Commendable Flexibility Diversity

42
Flexibility in the Program
  • Department of Agriculture
  • Smaller Program, Smaller Awards
  • Phase I 30,000 to 60,000
  • Focus on Regional Development
  • National Institutes of Health
  • Larger Programs, Larger Awards
  • Large Programs (e.g. Drug Development) can
    receive funding up to 3 million over 3 years
  • Department of Defense
  • By the book--Phase I 100 million
  • Phase II 750 million
  • But DoD can add procurement funds

43
SBIR
  • Perspectives
  • Contributions

Charles W. Wessner, Ph.D.
43
44
Common Criticisms of the SBIR Program
  • Crowding Out of Private Capital
  • The program encourages the funding of marginal
    firms and replaces private capital
  • Selection Bias
  • Selected firms would have done as well without
    SBIR award
  • Low Commercial Rates of Return
  • Results are highly skewed Few firms succeed

45
Common Criticisms of the SBIR Program
  • Set AsideA tax on RD budgets
  • The program interferes in the effective
    management of agency RD by favoring a sub-set of
    companies
  • High Paperwork Funding Ratio
  • Involves too much paperwork for relatively little
    funding6 reports in 6 months for 100K
  • Program Capture
  • Presence of multiple award winners with many
    awards but little commercialization
  • Targeted awards for pet projects

46
An Analytical Perspective
  • Few firms succeedbut with high pay-backs
  • Crowding out of private capital seems doubtful
  • Empirical evidence of systematic crowding out is
    absent (David, Hall, and Toole 2000)
  • Crowding in does occurawards attract private
    investors (Feldman Kelly 2000)
  • Venture Capitalists tend not to invest upstream
    (David Morgenthaler, Morgenthaler Venture
    Capital)
  • SBIR is not a public venture capital program
  • Lerner 1999
  • Why not?
  • No equity ownership ? No loss of control
  • No management input ? No exit strategy

47
An Analytical Perspective
  • Claims that firms would have succeeded in any
    event overlooks two important functions of SBIR.
  • SBIR develops and signals information about firm
    potential, improving the information available to
    private investors.
  • Second, SBIR awards can motivate a researchers
    decision to start a firm. (Audretsch et al, 2002)
  • No empirical evidence of Selection Bias as a
    problem in SBIR awards
  • (Jaffe, 2003)

48
SBIR Projects Attract Sales Investment
  • DoD Believes Most Firms Successfully Transition
    Hi-Tech Research to Commercialization
  • 57 of Firms With Recent Phase II DoD Projects
    (1994-1999) Have Sales and/or Investment

Investment
Sales
49
Contributions of SBIR
  • Catalyzes the Development of New Ideas and New
    Technologies
  • Capitalizes on Substantial U.S. RD Investments
  • Addresses Gaps in Early-Stage Funding for
    Promising Technologies
  • Certification EffectGovernment Endorsement of
    Technical Quality Attracts Private Capital

50
Contributions of SBIR
  • Provides a Bridge between Small Companies and the
    Agencies, especially for Procurement
  • Contributes New Methods and New Technologies to
    Agency Missions
  • Provides a Bridge between Universities and the
    Marketplace
  • Encourages Local and Regional Growth,
    increasingly through the University Connection
  • An Interesting Program Not Well Understood

51
Evaluating SBIR
  • The NRC Assessment

51
Charles W. Wessner, Ph.D.
52
The Role of Analysis
  • Program and Project Analysis are Essential to
  • Clarify program goals and objectives early on
  • Develop meaningful metrics
  • Generate measurable definitions of success
  • Contribute to a better appreciation of the role
    of partnerships among government, university, and
    industry
  • Help inform public and policy makers of the
    opportunities, benefits, and risks involved in
    public-private cooperation

53
Evaluation Challenges
  • Counterfactual
  • Was the commercialization or its timing caused by
    the SBIR award?
  • It is not sufficient to observe that an SBIR
    award was made and later that the awardee
    commercialized a new product.
  • Selection Bias
  • What is the extra impact of the award on firm
    performance?
  • Firm-Based Surveys or Project-Based Surveys?
  • What data is available? How is it organized?

54
SBIR is Under-Evaluated
  • Limited Academic Analysis
  • Program too big, topic too important
  • Limited Government Analysis
  • Reviews are anecdotal
  • Most internal reviews are never released
  • Most Agencies Have Limited or No External
    Assessment
  • First NRC Analysis Recommended More, and More
    Regular, Assessment

55
New Multi-Year, Multi-Agency NRC Study of SBIR
  • Congress Agreed and requested the NRC review the
    5 largest agencies that account for 97 of the
    programs funding in 2003
  • Department of Defense
  • National Institutes of Health
  • Department of Energy
  • National Aeronautics and Space Administration
  • National Science Foundation
  • 5 million, 3-year study

56
Proposed Evaluation Techniques
  • Surveys
  • Phase I Recipient Survey
  • Phase II Recipient Survey
  • Program Manager Survey
  • Technical Manager Survey
  • Case Studies
  • Directed to company officers and individual
    research scientists as well as to research
    managers within the funding agency.
  • Purpose
  • To generate detailed data not accessible through
    surveys
  • To pursue lines of inquiry suggested by surveys
  • To identify anecdotes that illuminate findings

57
Evaluating SBIR
  • Compared to What?
  • Competitive Awards Not Subsidy
  • Early Stage Finance Higher Risk
  • High Skew is Normal
  • Greatest Returns from Few Investments
  • VC Comparable?
  • Compared to RD Tax Credits?

58
Innovation Awards vs. Tax Credits
  • RD Tax Credits are often too Broad in
    Application
  • Cost is too High Compared to Innovation Awards
  • Incentive Effect of Tax Credits Depends on
    Revenue
  • Small Innovation Firms often Have no Revenuethus
    Tax Credits provide Little Incentive
  • Tax Credits can Help Established Businesses
  • Additional Impact of Tax Credit Hard to Calculate
  • Effectiveness of Tax Credits compromised by
    history of repeated, limited extensions
  • National Association of Manufacturers

59
Innovation Awards vs. Tax Credits
  • Innovation Awards are
  • Targeted on Specific Outcomes
  • Higher Impact at Lower Cost
  • Targeted at Critical Juncture in the Innovation
    System
  • Valley of Death
  • Effective and Flexible
  • PowerfulLeverages Resources
  • Conditionalwork can be stopped
  • Industry-driven
  • Less bureaucratic
  • Closer to market
  • More take up of technologies

60
Conclusions
61
Sustaining Science-Based Growth
  • Generating Science-Based Growth is a Major Policy
    Interest around the World
  • Not Enough is Known about Early-Stage Finance
  • The Linear Innovation Model Needs Help!
  • Inputs for more research are not enough
  • The process of ideas to innovations to products
    can be improved with awards to small business
    innovation

62
SBIR Broader Policy Implications
  • Small Business is Instrumental in Bringing the
    Benefits of University Research to the
    Marketplace
  • Small firms employ the Majority of the Workforce
    while contributing to Economic Growth
  • The SBIR addresses Key Elements of the National
    Innovation System and is therefore of Central
    Policy Interest.

63
  • END
  • Charles W. Wessner, Ph.D.
  • Board on Science, Technology, Economic Policy
  • National Research Council
  • 500 Fifth Street NW
  • Washington DC 20001
  • cwessner_at_nas.edu
  • Tel 202 334 3801
  • http//www.nationalacademies.org/step
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