Utilizing the government's bio-assets

The National Park Service is reviewing a new policy to share in some of the profits from patents derived from research on organisms found in the parks. According to a story in this morning’s Washington Post, this policy is the result of a decade long lawsuit on “bio-prospecting” in Yellowstone. Settlement of that suit required an Environmental Impact Statement, which has now been completed. The original mandate for the “benefits sharing” programs comes from the National Parks Omnibus Management Act of 1998. It was the first agreement in 1999 that triggered the lawsuit. Least you think this is no big deal, the Post story points out that:

In the mid-1980s, scientists discovered that a bacteria species from a Yellowstone hot spring could make DNA testing much more practical. Because of that Nobel Prize-winning research, DNA testing has since become commonplace — an industry worth hundreds of millions of dollars a year.
The National Park Service has not directly shared in those profits even though the bacteria species, Thermus aquaticus, arguably belonged to the American public.

The EIS describes the preferred alternative:

The NPS benefits-sharing proposal would apply to research projects involving research specimens collected from units of the National Park System that subsequently resulted in useful discoveries or inventions with some valuable commercial application. A benefits-sharing agreement would provide the terms and conditions for the further development and use of such valuable discoveries, inventions, or other research results. All such researchers would be required to enter into a benefits-sharing agreement with the NPS before using their research results for any commercial purpose. Consistent with the terms of their research permits, researchers would be responsible for initiating benefits-sharing negotiations with the NPS.
Benefits-sharing agreements would not authorize any research activities (or any other activities that require a permit) in parks. A benefits-sharing agreement would be negotiated with researchers who held an NPS research permit only after the permit applicant had met all the regulatory requirements, the park unit had met all resource protection requirements, the permit had been issued, and, usually, after research had already been conducted.

Two points are especially interesting. The first is that the agreements will take the form of the standard government Cooperative Research and Development Agreement (CRADA’s). The National Parks are already considered a federal laboratory under the technology transfer laws. The CRADA process has worked rather well. This is an interesting extension of the CRADA concept.

The second is that this is a benefits-sharing agreement. The benefits need not be monetary:

The NPS has identified four types of non-monetary benefits that could occur under some or all benefits-sharing agreements: knowledge and research relationships, training and education, research-related equipment, and special services (such as laboratory analyses). The particular knowledge and capabilities of the benefits-sharing researcher partner would determine the specific non-monetary benefits generated and managed by each benefits-sharing agreement.
The NPS has identified two types of monetary benefits that could occur under some or all benefits-sharing agreements: 1) up-front funding for research projects that support the park’s research activities or 2) performance-based payments paid as a percentage of any CRADA-related income received by a researcher’s institution (e.g., from licensing intermediate research results or from selling products developed from the knowledge gained from the research).

The NPS press release states that the Park Service Director will review the finds of the EIS and make a final decision on the policy in early 2010. One of the major decisions will be how much of the financial agreement should be made public. The EIS contains a range from all to none. The argument for withholding information is to prevent a “chilling-effect” that full disclosure might have on researchers and companies not wanting to make public what they might consider proprietary information. On the other hand, the public should be able to see some of the information – to see whether the agreements are in the public interest. Proprietary information is usually protected under CRADA’s, but I am not sure about all financial information. I would especially like to see some disclosure of royalty rates – as that is an important piece of information for both market-making in intangible assets and public accountability.

I would also urge a review of the program in a reasonable time period, say five years. The program could be a model for other bio-prospecting activities involving government land. But an evaluation is needed before it is widely copied.

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Happy Thanksgiving

This turkey is off for the holiday — back next week.

Losing the knowledge base

For some time, I (along with a number of others) have been worried about the loss of productive capability in the US — for example see my earlier posting on production and research. At issue is the myth that the US can abandon manufacturing and production as it moves up the value chain — or, in its most simplistic form, as the US becomes a “service” economy. I’ve posted a number of pieces on the fallacy of this argument. For example, there is the idea that somehow this is a natural progression out of production just like we got out of agriculture. Of course, this argument ignores the fact that the US did not “get out” of agriculture — we transformed agriculture from a labor intensive to a capital (machine) intensive industry — just as we are now transforming both agriculture and manufacturing into a knowledge intensive activity.

The important point is that as the economy shifts, it builds on rather than abandons the past. The knowledge and production base is expanded and transformed, not forgotten. In our rush to shed production, we run the risk of losing the ability to make the transformation.

Two Harvard Business School professors, Gary Pisano and Willy Shih, have written an HBR article outlining the case – “Restoring American Competitiveness”:

Companies operating in the U.S. were steadily outsourcing development and manufacturing work to specialists abroad and cutting their spending on basic research. In making their decisions to outsource, executives were heeding the advice du jour of business gurus and Wall Street: Focus on your core competencies, off-load your low-value-added activities, and redeploy the savings to innovation, the true source of your competitive advantage. But in reality, the outsourcing has not stopped with low-value tasks like simple assembly or circuit-board stuffing. Sophisticated engineering and manufacturing capabilities that underpin innovation in a wide range of products have been rapidly leaving too. As a result, the U.S. has lost or is in the process of losing the knowledge, skilled people, and supplier infrastructure needed to manufacture many of the cutting-edge products it invented.

They document case after case of supposed “high-tech” industries we have already lost. And they note — as I do when I publish the monthly trade — that we run a deficit in advanced technology products.

I should note that the HBR blog also has a number of pieces debating the Pisano & Shih thesis – including some contrary opinions.

A different take on the issue can be found in a recent special report in the Economist on Japanese middle companies as technology champions — “Invisible but indispensable”. The report describes how medium size companies in Japan have become the guardians of the knowledge base. More importantly, these companies have used that knowledge base to create a competitive advantage. These companies dominate the market in component after component. As the story notes, “It doesn’t matter if the brand on the casing says Apple, Nokia or Samsung: the innards are stuffed with Japanese wares.”

The Economist goes on to describe the reasons for this success:

Japan’s technology champions share certain characteristics. They invest handsomely in research and development (R&D). Many have factories abroad for basic products but keep the high-end stuff at home–in a “black box”, they like to say. They often own their supply chains: chip companies that might use crystal components generally grow their own. Some firms even make the very machines they use, in order to control costs, remain independent of suppliers and maintain a deep understanding of their technology.

When asked what is the main reason for their success, executives invariably gush about the quality of their customers. The response initially sounds scripted, or perhaps typically humble. Of course, good customers impose strict standards, forcing suppliers to raise their game. But there is more to it than that. As Susumu Kohyama, the boss of Covalent, points out, the components, tools and materials in which Japanese firms excel are highly customised. It is only by working closely with clients over many years that suppliers gain insight into their future technical plans and are trusted to learn about thorny problems that a clever supplier might solve. Once firms become technology leaders, it is harder to unseat them.
Moreover, the knowledge about the technology is tacit, not formal. It cannot be transmitted by writing a manual or reading a patent application. Rather, it accumulates by working with colleagues over many years. This poses a barrier to entry for rivals. It is also why firms try to maintain lifetime employment in specialised high-tech sectors, though it is ebbing elsewhere in the economy.
This belief that the strength of the company is stored in the collective mind of employees–rather than in the share price of the moment–also helps explain why Japanese companies disdain mergers and acquisitions. Firms resist takeovers, rather than viewing them as the natural combinatory process of business, as in the West.

In other words, they protect, develop, and exploit their intangible assets. And that begins with the realization that a nation needed to hand on to its production knowledge base. This was important in the industrial era; it is even more important in the I-Cubed Economy.

3Q GDP revised

In my posting on the September trade data, I mentioned that the 3rd quarter GDP numbers would probably be revised in light of the great than estimated trade deficit. Well, they have been. BEA announced this morning GDP grew by 2.8% in the 3rd quarter, not the 3.5% reported in the advance estimate (see earlier posting). The third estimate is due out December 22. I don’t anticipate as big a revision next time.

Pushing innovation policy

As I’ve mentioned before, there is talk in Washington about a new jobs bill and possibly a new look at innovation policies. Should there be a new round of policy initiatives, here are a few suggestions (many of which I’ve discussed in the past).

Review and implement the America COMPETES Act. Parts of the Act were never implemented. Two parts specifically should be implemented immediately:
 • convene the President’s Council on Innovation and Competitiveness as a mechanism to highlight Cabinet-level attention to innovation and coordinate government action
 • fund the study of how the federal government could support research and teaching related to the services industries and service functions in the manufacturing sector.

Rename the Baldrige Quality Award the Baldrige Quality, Productivity, and Innovation Award. Over the years, the criteria for the Baldrige Award have changed with the times. As these criteria have shifted and broadened, the award has become much more productivity and innovation focused. Much of this shift, however, has not been recognized. The change in the name would both better advertise the broader nature of the award and provide an opportunity to review and modify the criteria to reflect this broader view. In addition to changing the name, the award should be given greater visibility by the President. By presenting the awards personally, the President could use it as an opportunity to showcase innovative American companies and collaborations. The National Science and Technology medal criteria could also be broadened to recognize a small number of individual contributions to innovation that are not solely technology based.

MEP and innovation. Double the budget for Manufacturing Extension Partnership (MEP) – and explicitly expanding the scope of MEP’s services to include innovation, new product development and utilization of intellectual capital. This should be a phased expansion of the program’s budget and staffing into areas of marketing, finance, and business model development beyond simply new product development and process adoption.

EDA and innovation. Increase the Economic Development Administration (EDA) budget for incubators and allow funds to be used for entrepreneur support programs in those incubators, not just brick and mortar.

Create a knowledge tax credit to pay workers to take training. This could be a part of the proposed job sharing program where unemployment insurance funds are used for part of a workers salary to compensate for lost hours. Or the tax credit could be changed to a payment in lieu so companies receive an up-front payment. This would have the dual effect: It would increase our human capital — a major input to the innovation ecosystem. And it would immediately increase consumer demand as companies would use the funds to pay workers to take classes (thereby creating more employments slots for others to fill the working hours of those in the classes).

Expand the R&D tax credit to include process R&D. Currently expenditures on product R&D are eligible for the credit tax law but not expenditure to develop new production machines or processes to increase productivity. Offer a bonus credit for expenditures over next two years.

Up front funding for clean manufacturing. Modify the current tax credit for clean energy technology manufacturing facilities to be an up front payment in lieu so that companies who are trying to build facilities like wind turbine manufacturing facilities can get the start-up cash they need. Such a payment in lieu of tax credits was already created for alternative energy production facilities in Section 1603 of the America Recovery and Reinvestment Act.

SBA loans to fund innovation. Explicitly change Small Business Administration (SBA) underwriting to allow companies to use their IP as collateral on loans. SBA already allows funds to be used to buy intangibles as part of the acquisition of a company by a new owner. Allowing IP to be used as collateral will increase the amount of funds a high-tech company would qualify for.

Create an IP-back loan fund. China has developed a special program to encourage IP-based finance. A similar program in the U.S. should be set up on a pilot bases. The program could be run by the SBA, to take advantage of their lending expertise. Technical support could be provided by the SBA’s Office of Technology, which coordinated the Small Business Innovation Research (SBIR) program and the Commerce Department’s National Institute of Standards and Technology (NIST), which runs the Technology Innovation Program along with other science and technology related activities. Such a direct lending program would be a step beyond SBA’s current loan guarantee programs. Direct lending is necessary, however, to jump start the process. Once the process of utilizing IP as collateral was fully established, the program could be converted to a loan guarantee program.

Improve technology transfer. Review the technology transfer laws, including Bayh-Dole, to make sure that they support spin off companies from universities and federal labs, not just licensing of intellectual property.

Support “design thinking.” Enable the National Science Foundation’s (NSF) Engineering Research Centers program to support the creation of Design Research Centers as well as promote research and teaching of integrated design thinking. Innovation success is heavily reliant on design as a key component but not simply involving the physical appearance of products. A new approach to applied problem solving and innovation is emerging under the rubric of design thinking. Successful models include the Stanford Design School and the Institute of Design at the Illinois Institute of Technology (IIT), among others.

Improve innovation metrics. Endorse, operationalize, and fund the recommendations of former Commerce Secretary Gutierrez’s Advisory Committee on Innovation Measurement in the 21st Century. Among other things, this means supporting and accelerating efforts of the DOC’s Bureau of Economic Analysis to revise the national economic accounts by converting intangible business assets (R&D, software, intellectual property, human capital, brand identification, and organizational capacity) from expenses to investments with future returns. Although Federal Reserve Board staff studies–corroborated by similar analyses in the UK and Japan–find that intangible investments exceed spending on plants and equipment and account for a significant portion of economic and productivity growth, that fact is unlikely to be given full weight in economic policymaking until reflected in the nation’s official accounting.

Foster intellectual capital management. Intangible assets are the fuel for innovation. To foster best practices for management of intellectual assets and intangibles in the United States, the relevant federal agencies–such as SEC, Department of the Treasury, and DOC–should establish an advisory committee to make recommendations on ways of providing investors with an improved method for assessing the impact intangibles have on the accuracy of a company’s financial picture and supporting industry trade associations in an effort to adopt guidelines for intellectual asset management and intangible disclosure appropriate to particular industry sectors.

Increase disclosure of intangible assets. The Securities and Exchange Commission (SEC) should be asked to undertake a study examining barriers to disclosure of intangible assets on corporate financial statements, assess past disclosure requirements (such as the 2003 guidance on the Management’s Discussion and Analysis [MD&A] section in financial statements), and the merits of a safe harbor for limited disclosure of financial information on intangibles not currently allowed in financial statements.

Fund National Academies study on intangibles. As proposed at a June 2008 conference sponsored by the Bureau of Economic Analysis (BEA) at the National Academies, a broader study of intangibles could include (1) a survey of efforts in other countries to advance the understanding of intangibles and their role in corporate performance and economic growth, promote financial investments in intangible assets, and foster the utilization of intangibles; (2) an inventory of federally owned intangible assets and how to exploit them for economic growth; and (3) recommendations of policies to accelerate private investment in and management of the types of intangible assets most likely to contribute to growth.

Manage government intangible assets. Undertake a budgetary cross-cut of government investments in intangible. The federal government is a major investor in intangibles, but we don’t know the size of that investment or even where it really goes. For some time the federal budget, as prepared by the Office of Management and Budget (OMB), has included a capital budget that includes physical capital, R&D, and education and training. The budget documents also include a separate analysis of funding of statistical agencies, which is not included in the investment budget. These and other budget analyses already undertaken by OBM can serve as the starting point for a cross-cutting budgetary analysis of federal investments in intangible assets.

Put in place a process for assessing longer term actions, including:
 • establishing an analyze capability for reviewing regulatory activities with an innovation impact;
 • better managing the allocation of R&D spending among and within federal agencies through a joint OSTP and OMB review agency spending plans in key areas with an eye to making mid-course adjustments;
 • strengthening the White House role in reviewing and balancing intellectual property policy as broadly defined;
 • consider establishment of a National Foundation for Science, Technology, and Creativity patterned after the United Kingdom’s National Endowment for Science, Technology and the Arts (NESTA);
 • greater use of government procurement to push new business models, including use of new collaborative work tools, such as Virtual Worlds.

The expectations game

It is widely understood that the expectations game looms large on Wall Street. Miss your earnings target by even a small amount, and it doesn’t matter how well you really did – your stock price gets hammered. Case in point is this morning stock market lead in the online Wall Street Journal – Dell Results Depress Stocks: “Stocks opened weaker Friday, hurt by Dell’s worse-than-forecast drop in net profit.”

The same game gets played in Washington on the economy. Case in point is the most recent leading indicators. According to the Conference Board, the Index of Leading Indicators rose 0.3% in October, after a 1.0% rise in September and a 0.4% rise in August. Here is the analysis of the data in the press release:

Says Ataman Ozyildirim, Economist at The Conference Board: “After half a year of consecutive increases, the month-to-month growth of the LEI is stabilizing and the gains continue to be broad-based. Meanwhile, the coincident economic index has been essentially flat since June, after declining since November 2007. The composite indexes suggest the recovery is unfolding and economic activity should continue improving in the near term.”
Says Ken Goldstein, Economist at The Conference Board: “The data indicates that economic recovery is finally setting in. We can expect slow growth through the first half of 2010. The pace of growth, however, will depend critically on how much demand picks up, and how soon.”

In other words, the economic is recovering, slowly. What is the standard press response? The headline of the AP story in the New York Times: U.S. Economic Indicators Weaker Than Expected. Why? Because a poll of economist expected a rise of 0.5%!

So, what is the real story here? Is it “Economy Bad”? Or is it “Economists Guess Wrong”? I would argue for the latter. Unfortunately, the expectations game has taken root — so the story that is running in the media is the former.

I have to say, I am guilty as well. In my monthly trade and employment postings, I including the economist estimates. I do so because it gives some indication of how the numbers will be perceived. I will have to rethink that.

Grand challenges – expanded

Catching up on some older news, BusinessWeek ran a special report a couple of weeks ago on Growth Through Innovation. One of the interesting features was a slideshow on Obama’s 25 ways to Rebuild America. Right now, there is a lot of talk in Washington about the next jobs and economic agenda — including what to do to spur innovation. I’ve been to numerous meetings and conferences trying to come up with and refine specific policy ideas. The BusinessWeek list is different. It takes of a technology and industry specific (industrial policy?) approach. Other than the idea of using prizes, such as the X-prize, the entire list is of technological challenges in areas such as energy, environment, health, and transportation. The BusinessWeek list looks an expansion of the “Grand Challenges” described at the end of the Obama Innovation White Paper released a few months ago (see earlier postings). So there seems to be some consensus. The question now, of course, is what are the mechanisms for addressing those challenges. There are a number of policy tools — from direct funding of R&D to loans for production to government procurement to prizes to regulations. Figuring out the appropriate mix of policies will be the real challenge.

By the way, the Business Week special report has more on innovation than just these Grand Challenges. For example, in includes an essay by Roger Martin on his new book, The Design of Business. More on that later.