The Knowledge Driven Economy
Analytical and Policy Implications

On 27 January 1999, CEPR held a conference with the UK’s Department of Trade and Industry (DTI) on the economics of the knowledge driven economy. The starting point for the discussion was the UK government’s Competitiveness White Paper published at the end of 1998, Our Competitive Future: Building the Knowledge Driven Economy. The conference was opened by Lord Sainsbury (Under Secretary of State for Science), and the central messages of the White Paper were presented by David Coates and Ken Warwick (both DTI).

The conference explored the meaning of the knowledge driven economy; what the growing importance of knowledge implies for industrial structure, for national economic performance, and for the sources of competitive advantage for both firms and nations; and how government policy should be directed towards building UK capabilities, facilitating collaboration within and between businesses, and encouraging competition.

The White Paper defines the knowledge driven economy as ‘one in which the generation and the exploitation of knowledge have come to play the predominant part in the creation of wealth. It is not simply about pushing back the frontiers of knowledge; it is also about the more effective use and exploitation of all types of knowledge in all manner of economic activity’. The document goes on to describe four structural forces driving economic transformation: revolutionary changes in information and communications technology (ICT); rapid scientific and technological advance; increasingly global competition; and shifting consumer demand.

So how does the knowledge driven economy differ from its predecessors? Keynote speaker Professor Joseph Stiglitz (World Bank) argued that knowledge has fundamentally different characteristics from ordinary commodities and these differences have crucial implications for the way a knowledge economy must be organized. Most importantly, knowledge is a global public good: it is ‘infinitely expansible’ or ‘non-rival in consumption’. Stiglitz noted that Thomas Jefferson captured this idea best when he wrote: ‘He who receives an idea from me, receives instruction himself without lessening mine; as he who lights his taper at mine, receives light without darkening me’.

What Stiglitz called ‘the scarcity-defying expansiveness of knowledge’ is the root of its other important defining features. Once knowledge is discovered and made public, there is essentially zero marginal cost to adding more users; ideas and innovations have extensive externalities, their benefits typically extending well beyond those who first put them forward; and it can be difficult to exclude other potential users of knowledge through intellectual property rights. What is more, there is an inherent ‘unknowability’ in knowledge: it is like an experience good, which consumers find hard to value unless they have used it before.

Danny Quah (London School of Economics and CEPR) outlined what he saw as different in the knowledge driven economy or, as he preferred to call it, the weightless economy. First, there is a proliferation of knowledge products that share the infinite expansibility and related characteristics of knowledge. Of particular importance is Information Communication Technology (ICT), which includes the internet; intellectual property, including not only patents and copyright, but also branding, development of images, advertising, trademarks and logos; and libraries and data bases, both silicon-based electronic compilations of information and bio-technology or carbon-based forms.

What is central about the new technology, Quah suggested, is that it brings consumers ever closer to the chalk face of technological development. In the traditional industrial economy, knowledge is the first point in a chain running through intellectual property protection in the form of patents and then into machinery and manufacturing for producing goods for consumers. In the knowledge economy, the chain disappears and consumers and knowledge producers interact directly with each other. This is the real ‘death of distance’: not in the sense that ICT reduces the importance of physical geography but as a closing of the gap between knowledge producers and consumers.

The impact of the new technologies on industrial structure was explored by John Kay (Said Business School, Oxford University), who pointed out some fallacies in much contemporary analysis. For example, it is feared that with a strong system of intellectual property rights, the characteristics of knowledge imply ‘winner-takes-all’ markets and hence concentration into a relatively small number of global players, the ‘superstars’. In addition, many believe that market dominance and commercial success will be based on those who control standards and/or the delivery processes.

Making a comparison with the impact of the printing press on the dominant position of the Roman Catholic Church, Kay contended that, on the contrary, the expansion of the knowledge driven economy will create a proliferation of material, firms and activities at all points and at all levels, suggesting that no one can expect to enjoy continued control of these markets. There may be temporary monopolies but they cannot last. And it is misconceived to think that the key lies in greater horizontal diversification, in vertical integration or in being at the point of delivery of the product: the low cost and ease of access to the delivery mechanism mean that rents are driven down at the delivery level and instead migrate back up the value chain to those with genuinely scarce factors and competitive advantages.

Kay explored the changing nature of competitive advantage during the twentieth century. He noted that there has been a shift from competitive advantages based on market position, size and power to competitive advantages based on the incorporation of knowledge into no longer important raw materials. Knowledge-based competitive advantages, some of which may enable temporary monopolies, include: the power of brands as signals of reputation; standards like Microsoft’s operating systems or the English language; innovations protected through patents, copyrights or secrecy as with Merck or Coca-Cola; or simply a reputation for innovation, such as Sony enjoys. Equally important as sources of knowledge-based competitive advantage are what Kay called the internal and external architecture of firms: the networks of trust, knowledge-sharing and information processing both within and between organizations.

Networks and geographical clusters of firms are a particularly important feature of the knowledge driven economy. John Cantwell (Reading University) claimed that firms are finding it more and more necessary to work with other firms in technology-based alliances. The costs of research and development (R&D) are rising and firms often find it beneficial to spread costs among themselves. Meanwhile, as consumers become more sophisticated and the goods they demand more complex, R&D is having to draw on a wider range of technologies and a broad array of inputs. Many larger multinational firms are becoming ‘multi-technology corporations’, locating themselves around centres of excellence in different countries.

But why are clusters important if ICT supposedly diminishes the role of physical geography? The answer seems to be that although the internet is certainly effective at spreading information around the world, it is not so effective at spreading understanding. Firms ‘co-locate’ because it is a better way of sharing such understanding. One key activity that is dependent on face-to-face contact is hiring new people. Firms in a cluster benefit from a vibrant labour market, and repeated contact helps build up relationships of trust with potential collaborators. These considerations seem to be particularly important for high-tech smaller firms, as Alan Hughes (University of Cambridge) demonstrated.

Of course, given the nature of knowledge, not all the benefits of a new idea flow to the company whose research department has developed it. It is difficult to protect new ideas, particularly basic research, which is often unpatentable, and the researchers involved may move to a competitor. This is where the justification for government involvement in the knowledge economy begins: left to their own devices, businesses will not invest as much in R&D as might be beneficial for the country as a whole. Joseph Stiglitz argued that there needed to be real recognition of the fact that knowledge is a global public good. If everybody is doing applied research, taking ideas out of the basic knowledge pool and converting them into patentable innovations, there must be more cooperation in enhancing the supply of basic research.

Stiglitz suggested that governments should not be engaged in picking winners but in trying to identify important externality-generating research projects. In his view, governments have had a remarkable record of doing this successfully and in ways that have had really profound effects on the economy. For the United States, these include support of agricultural research in the nineteenth century economy, which led to huge productivity increases; construction of the first telegraph line in 1842, which encouraged businesses to invest in expanding the network; and the development of the internet. In each case, there was a large difference between the initial benefits to the private sector of such work and to the economy and society as a whole.

Paul Stoneman (Warwick Business School) emphasized the value of government support for basic research in giving a country the advantages of technological leadership. Despite the fact that others ultimately can make use of the knowledge developed, the first use of knowledge, or the temporarily exclusive use of knowledge, can yield great benefits. An individual country, in fact, may be much more prosperous than other countries either because it uses more knowledge, or because it uses knowledge more quickly than others. But as other countries use that knowledge, the leader’s advantage tends to get whittled away.

This raises the question of what government actually should be doing in the knowledge driven economy. Having demonstrated that firms should see competitive strategy as the business of establishing a match between their distinctive irreproducible capabilities and the competitive environment in which they operate, John Kay argued that industrial policy should be thought of in the same way. The contribution of government is to recognise, understand and develop the distinctive capabilities of a national economy and match these to the competitive environment that a country faces.

As both Stiglitz and Stoneman indicated, an important part of developing a country’s capabilities is the support of universities and graduate education in basic science and technology. Investing in R&D does not just lead to new ideas; it develops the expertise to understand what researchers have been doing in other countries. Furthermore, spending on a research budget creates the kind of technical skills in the workforce that enable effective use of other people’s results. It is difficult for a country to access the global pool of knowledge without its own R&D experience.

On the broader role of education and training, Stephen Nickell (London School of Economics and CEPR) presented a skills profile of the United Kingdom: broadly level with the Germans and Americans on the numbers of people with higher level skills; comparable with the United States but well below Germany on the numbers who have attained at least lower-level skills; but behind both on the numbers with middle-level skills. Nickell suggested that it is at this skill level, corresponding to further education, that the need for improvement in the United Kingdom is greatest. He added that although US and UK numbers are comparable for lower level skills, a great advantage of the United States is that a far higher percentage of businesses operate at ‘best practice’, the most efficient way of doing any task.

Stiglitz emphasized the value to the knowledge driven economy of vibrant financial markets, suggesting that one key to the success of Silicon Valley is the large number of venture capital firms, which provide not only capital but also know-how and managerial skills. Other conference participants focused on the potential advantages of capital markets encouraged to focus more on the long-term and tax measures that might achieve such an aim. The goal of providing a stable environment for investment was also raised, including the benefits of macroeconomic stability. And Danny Quah stressed the importance of consumers, noting that according to some economic historians, fourteenth century China was an industrial revolution waiting to happen with the supply side of technology fully in place. Yet tight control by the state prevented the emergence of a sophisticated demand base and dramatically stifled growth.

The issue of competition policy, particularly in relation to intellectual property rights, looms large in the knowledge economy. Quah described the basic trade-off for society: ex-post social efficiency outcome, where everyone enjoys access to the benefits of new ideas, versus ex-ante incentives for firms to produce knowledge and new knowledge products. If firms are unable to appropriate a significant part of the rents from their research efforts, why should they conduct research in the first place, he asked. Yet a strong intellectual property rights system offers the potential for monopoly power, which even if temporary, may not be desirable for society.

Altough commending the White Paper’s coverage of important public policy issues, Stiglitz was concerned that its discussion of collaboration and cooperation between firms may have underplayed the danger of collusion, where firms can work together to raise prices and reduce effective competition. He viewed the need to develop safeguards that encourage constructive knowledge-creating cooperation without tacit or explicit collusion as one of the real challenges for government in the knowledge driven economy. In contrast with Kay’s perspective, he was worried about the potential for new technology to undermine competition through increasing returns to scale, ‘winner-takes-all’ and ‘lock-in’ effects.

Others were less concerned. On the dangers of collusion, Alan Hughes reported survey results showing that the forms of collaboration undertaken by high-tech firms are much more likely to involve sharing R&D, knowledge and information systems, rather than entering into arrangements to keep current customers. John Cantwell also took the view that, in a framework of ‘Schumpeterian competition’, the benefits of technological cooperation are quite distinct from the effects of market-based collusion and price-fixing.

John Kay pointed out that past concerns about monopoly have turned out to be unfounded. For example, in the 1930s, there were many worries about monopoly capitalism and what the new industrial economy was going to do to competition. As it turned out, technology changed, the scale of operations went down, transport costs fell, markets became global and the number of monopolies probably decreased rather than increased.

However, Stiglitz argued, it is possible that today’s powerful corporations may have learned from the past, seen how monopolies were destroyed and determined to use anti-competitive practices to make sure it does not happen again. Of course, competition will have its day, but the question is the length of time monopoly power exists, the speed of innovation and the consequences of what happens in the interim. In this respect, Stiglitz agreed that a Schumpeterian model of competition was more appropriate than the traditional Arrow-Debreu model.

Paul Seabright (Cambridge University and CEPR) raised the question of whether there is a case for systematically favourable treatment by regulators of mergers and/or joint ventures in high-tech industries on the basis of the scale economies in information-intensive processes and the weak character of many intellectual property rights. He concluded that, while such an idea has some sense analytically, there would be a danger of strategic manipulation of innovation by firms. For example, firms might exaggerate the character of an alliance, making it seem more high-tech than it really is. Seabright added that competition authorities need to develop an understanding of the benefits and dangers that can come from joint ventures as opposed to mergers, since the former organizational form is becoming increasingly important.

The last session of the conference, chaired by John Battle (Minister for Energy and Industry), featured a panel discussion on the future challenges for government, industry and the academic community. Among a broad range of issues raised were: the widespread need for better measures – of human capital, of firms’ intangible assets and of the growth of total factor productivity; the related possibility of benchmarking the United Kingdom’s innovative progress; the fact that on some measures, such as the proportion of high-tech exports in total exports, and revenues from patents and royalties, the United Kingdom is already performing well as a knowledge economy; and the impact of organizational structures on knowledge generation, particularly the contrast between Japan’s hierarchical structures, which are good at incremental innovation, and the flatter and more individual structures of the United States, which are better at generating and exploiting radical ideas.

Finally, in terms of policy, for both government and industry, many conference participants emphasized the importance of establishing a culture of creativity. Pluralism, openness, competition and a willingness to experiment are vital to the generation and creative use of knowledge. And, as Stiglitz concluded, the government has an important role in facilitating these changes: for example, through the provision of education, by encouraging creativity and risk-taking, and by helping to develop institutions, including introducing the appropriate regulatory and tax environment.