Government policies towards industrial innovation: a review |
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| Authors: | K Pavitt W Walker |
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| Institution: | Science Policy Research Unit, University of Sussex, Brighton, UK |
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| Abstract: | Existing economic theories show that continuing innovation, diffusion, and technical and managerial improvement are necessary for economic growth and international competitiveness in the industrially advanced countries. But knowledge of why, where and how governments should intervene in the processes of industrial innovations stems more from trial and error than from systematic empirical information of the nature and extent of the hindrances to economically and socially desirable innovations, and of the effectiveness of alternative government policies to remove them. Nonetheless, past empirical studies do offer some clues.Differences amongst industrial sectors. The sources of new technology vary widely amongst inustrial sectors: in the costs of innovation, in the relative importance of outside suppliers of equipment and materials, of large and small firms, and of full-time R & D departments as compared to part-time innovative activities (sect. 7, 8). Similarly, the conditions for successful innovation vary amongst sectors (sect.6). Thus, government policies designed to influence innovation are likely to act with different intensities in different industries.The management of innovation. Nonetheless, there are some features common to innovation in different industries. Considerable costs beyond R & D are often necessary before the innovations reach commercial use (sect.4). And the following managerial characteristics are in general associated with successful innovation: a deliberate policy of seeking innovations; close and careful attention to customer requirements; good personal communications both within the firm and with outside sources of relevant knowledge; a style of management that is ‘organic’ and ‘participatory’ rather than ‘hierarchical’ and ‘authoritarian’; strong project leadership; and a strong engineering capability (sect. 6).R & D managers are still unable to predict the outcome of R & D projects to a useful degree of accuracy and, in the literature on methods of project selection, very little attention is paid to market uncertainties. Furthermore, a greater use of conventional investment appraisal criteria in deciding on R & D projects may re-inforce the already observed tendency in industry towards short-term, low-risk projects, to the neglect of longer-term, high-risk projects (sect. 5).Governments should therefore examine whether the benefits of policies towards education and management advisory services for innovation might outweigh their costs. They may also have a significant role to play in financing longer-term research that is basic to the development of industrial technology (subsect. 12.5).The nature of market and production demands. The direction of industrial innovation is often very sensitive to market and production demands (sect. 3). This fact, together with the high degree of market uncertainty facing innovating firms (sect. 5), suggest that governments can potentially influence both the pace and the direction of industrial innovation through their influence on the scale of industrial, consumer and public service demands. However, this potential influence will become real only if users of innovations are able to specify the innovations that they need, or to evaluate those that they get. This is generally the case for industrial demand, but not in consumer and public service markets, where fashion, insensitivity to users' needs and lack of technical competence often prevail. Government-funded technological institutes and laboratories are ideally placed to provide such technical competence (sub-sect. 12.3).Economic incentives and rewards for innovation. A whole range of economic factors are said to influence the resources, the incentives and the rewards for innovation: for example, the degree of monopoly or the degree of competition, the patent system, the level of profits, the level of taxation, and the level of demand. The empirical evidence on the effects of most of these factors on industrial innovation is either inconclusive or non-existent. However, in the USA a close relationship has been observed between growth of industry sales and growth of industry-financed R & D activities (sect. 10). The rate of growth of demand is also one of the key factors influencing the rate of diffusion of innovations amongst their potential population of users (sects. 11, 12.2).The government-financed scientific and technological infrastructure. Scientific and technological knowledge from outside of innovating firms is often crucial to the completion of successful innovations, and three UK studies show that a significant proportion of this outside knowledge comes from government-financed technological institutes and laboratories, and from the universities (sect. 3). If the same is true in other countries, it should be an essential feature of any government policy towards industrial innovation to know how effectively government-funded laboratories and universities provide supportive knowledge to industry, and how government laboratories should be organised and financed (subsect. 12.4).Direct government-financing of innovative activities in industry. Governments specifically finance R & D activities in industrial firms, although these expenditures are less than those for general industrial development (sect. 13). These R & D activities in industry are relatively more important in France and UK, than in F.R. Germany and the Netherlands.In the four countries, more than 70% of all civilian government R & D activities related to industry are spent on aircraft, space, nuclear energy and electronics (subsect. 14.4). In all these high technologies, governments attempted in the 1960's to implement ‘policies for innovation’, involving government procurement, industrial mergers and attempts at European co-operation, in addition to the financing of R & D (subsect. 14.5). Government expenditures on civilian R & D related to other industrial sectors are very much smaller in all four countries (subsect 14.4).Where should governments intervene? A, number of attempts have been made to develop a formal framework of criteria to assist governments in deciding where they should intervene in industrial innovation. They all run into the following difficulties: dealing with multiple policy objectives; assessing national costs and benefits; comparing with alternative policies, choosing appropriate policy instruments (sect. 17).How should governments intervene? Very little information is available on the effectiveness of various policy instruments that have been used by governments in order to promote innovation in industry. Although it is often possible to measure the inputs into such policies, the measurement of their outputs (or results) is more difficult. Nonetheless, detailed studies would enable some such measurements to be made, and internationally comparable studies would increase the range of experiences and the number of cases that could be examined (sect. 18).Why should governments intervene? A full appreciation of the nature and scale of hindrances to industrial innovation, on which governments should act to remove, requires direct information on what innovations are (or are not) being introduced by industry, and why they are (or are not) being inyroduced. This information can best be obtained from analyses of the behaviour of industrial firms. They would differ from most existing innovation studies that concentrate on asking how firms must behave in order to make successful innovation, by asking what innovations are attempted, and why firms are stimulated to attempt them (sect. 19). |
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