Paper to be presented at the DRUID Summer Conference 2004 on INDUSTRIAL DYNAMICS, INNOVATION AND DEVELOPMENT Elsinore, Denmark, June 14-16, 2004 Theme TRADEMARKS AS AN INDICATOR OF INNOVATION AND INDUSTRIAL CHANGE Sandro Mendonça ISCTE University and Dinâmia Dept. of Economics Av. das Forças Armadas, 1649-026 Lisbon, Portugal Tiago Santos Pereira CES - Centro de Estudos Sociais Universidade de Coimbra Colégio de S. Jerónimo Apartado 3087, 3001-401 Coimbra, Portugal tsp@ces.uc.pt Manuel Mira Godinho ISEG/UTL and CISEP Dept. of Economics Rua Miguel Lupi 20, 1200-725 Lisboa, Portugal 1st draft: 13 November 2003, This version: May 2004 Abstract: As innovation becomes an ever more central issue for the development of human societies and private firms so the need for improved assessments of innovative performance grows more urgent. In order to reflect the innovation endeavour of countries and companies several internationally comparable indicators have been created and developed since the 1950s. This paper suggests trademark analysis can yield reliable results as a method for capturing relevant aspects of innovation phenomena. We propose trademarks as a complementary indicator in the portfolio of empirical tools of innovation studies. Our empirical exploration of trademarks is based on a study of Community Trade Marks and draws on recent research on national trademarks of Portuguese firms. Quantitative as well as qualitative data, including survey information from a representative sample of Portuguese manufacturing and service firms, are used to identify the advantages and limitations of this new research tool. Keywords: trademarks; IPR; innovation; industrial dynamics JEL - code(s). Trademarks as an Indicator of Innovation and Industrial Change Sandro Mendonça ISCTE University and Dinâmia Dept. of Economics Av. das Forças Armadas, 1649-026 Lisbon, Portugal Tiago Santos Pereira CES - Centro de Estudos Sociais Universidade de Coimbra Colégio de S. Jerónimo Apartado 3087, 3001-401 Coimbra, Portugal tsp@ces.uc.pt Manuel Mira Godinho ISEG/UTL and CISEP Dept. of Economics Rua Miguel Lupi 20, 1200-725 Lisboa, Portugal 1st draft: 13 November 2003 This version: May 2004 Abstract: As innovation becomes an ever more central issue for the development of human societies and private firms so the need for improved assessments of innovative performance grows more urgent. In order to reflect the innovation endeavour of countries and companies several internationally comparable indicators have been created and developed since the 1950s. This paper suggests trademark analysis can yield reliable results as a method for capturing relevant aspects of innovation phenomena. We propose trademarks as a complementary indicator in the portfolio of empirical tools of innovation studies. Our empirical exploration of trademarks is based on a study of Community Trade Marks and draws on recent research on national trademarks of Portuguese firms. Quantitative as well as qualitative data, including survey information from a representative sample of Portuguese manufacturing and service firms, are used to identify the advantages and limitations of this new research tool. Keywords: trademarks; IPR; innovation; industrial dynamics Trademarks as an Indicator of Innovation and Industrial Change1 1. Introduction The business of branding products has been part of ordinary economic life for a long time. Trademarks are the outcome of establishing recognisable designations and symbols for material goods, services as well as firms’ identities. They are a crucial part in the process of marketing an innovation, helping to differentiate the attributes and content of goods and services in the marketplace. These characteristics make trademarks a potential new indicator of product innovation and sectoral change. Recent developments in the institutions of international filing and registration of marks as well as the increasing availability of digital databases have increased the potential use of trademark statistics as a new source of information for industrial and innovation studies. Trademarks are of interest for social science research for at least three reasons: they confer an exclusive right of using a brand, therefore enhancing companies’ ability to appropriate the economic returns of investing in new products or improving existing ones; they are an important aspect of contemporary culture world-wide; and they are a source of qualitative and quantitative information on socio-economic activity. This paper focuses on the third of these features. It assesses the possibilities and problems of using trademark data when analysing the introduction of new or improved manufacturing and services’s products in competitive markets. Along with a methodological reflection, the paper offers a concrete empirical application of the indicator to EU-15 data on the basis of insights obtained through an in-depth study of an intermediate European economy, Portugal, which we compiled national trademark data for the period after 1980, survey data from a representative sample of 724 firms collected during 2003 and information obtained from thematic workshops held with entrepreneurs, managers and consultants (Godinho et al., 2003). We argue that trademark-based indicators provide a partial measure of the innovative output of profit-oriented organisations. In its most simple formulation, innovation can be understood as the introduction in the market of a new idea, product or production process. As an intellectual property right (IPR), trademarks are designed to identify certain products as those provided by a person or a firm, therefore assisting customers’ decisions to purchase something if they recognise its nature and the quality meets their needs. The filing of new trademarks by economic actors partially reflects the introduction of new offerings aimed at persuading potential buyers that the range of their problems was not solved by the supply of solutions previously available 1 The authors acknowledge the National Patent and Trademark Office (INPI) for permission to use data generated in a project on the use of industrial property rights by Portuguese individuals, firms and public research organisations. One way or another the three of us were influenced by Keith Pavitt’s sharp and provocative views as a Professor and a colleague. It is clear in our mind that the current work would not have been the same without the experience of having known him. We wish to thank participants of the Pavitt conference for their discussions, and especially to Scott Stern, our panel discussant. Any faults in this paper are entirely our responsibility. 2 in the market. In this way, and since companies have to pay fees to register and renew their rights in national and international offices, the compromise to register a new brand or logo reveals an economic decision and an entrepreneurial initiative that are worth investigating. Given the growing demand from governments, firms and universities for more reliable information on innovation there is a case to test trademarks as a complementary indicator to the more traditional measures of technological activity, namely R&D investment and patents. Furthermore, trademarks have an additional advantage in relation to patents because they are used by a wider set of business firms, and are less dependent on the technological activity of firms, capturing changes in service activities as well as small and medium sized firms (SMEs). Trademarks show promise in analysing (i) rates and directions of product innovations in different industrial sectors, (ii) international patterns of sectoral specialisation, (iii) links between technological activity and marketing advantages; (iv) evolution of economic organisations and structures, not only in terms of entry and exit of firms, but also in terms of firm growth, differentiation, and diversification. Evidence from the Portuguese case on the first two points suggests that behaviour in filing trademarks is largely as expected by tracking the innovative performance of firms, industries and countries over time. However, simple counts of trademarks are affected by various sources of bias, such as difficulties in data consolidation (e.g. one brand can be protected simultaneously by a combination of words, symbols and 3D design), sectoral differentiation (the classification follows the characteristics of the product and not of the industrial sector and one trademark can be registered under several classes; cf. Appendix) and weaknesses in international comparability (given, for example, the different market niches targeted by firms of different countries). All of these issues cannot be completely explored or solved in a single contribution. The full assessment of trademarks as indicators of innovative activity and industrial competitiveness requires further exploratory research, survey and econometric research, as well as in-depth case studies. The paper is organised as follows. The first section discusses what a trademark is both from the IPR and managerial perspectives. The second tackles the conceptual and analytical issues that arise when we consider trademark statistics as an innovation indicator. This is followed by a presentation of the key patterns found on Community Trade Marks for 15 EU countries and a review of a detailed study of the Portuguese case. The fifth section critically reviews the findings and points out avenues for further research. The final section concludes. 2. Brands and logos in business life People show a tendency to label other beings and things surrounding them, as well as to exert property over them. It is thought that the first marks served to indicate the legitimate proprietor of livestock in Neolithic times, 7 000 years ago.2 Marks later evolved to designate the author of an object and to establish her obligation in assuring the quality of the product. The first documented example of this economic use of 2 http://www.lib.utexas.edu/engin/trademark/timeline/tmindex.html - website maintained by the Library of the University of Texas at Austin which compiles and synthesises information on the history of trademark from a wide collection of previous works on the topic. 3 trademarks is found in the Roman Empire. Roman bricks had the stamp of the manufacturer, the date and the place of production. During the Middle Ages corporations of craftsmen started to identify their workmanship with a mark. In the absence of modern means of advertising the reputation of trade guilds that function was carried through marks inscribed in the products. A century following the dawn of the industrial era a series of explicit trademark laws were enacted in France (1857), UK (1862) and the US (1870). In this field, as well as in others, framing institutions co-evolved with the actors’ behaviours and goals. The remainder of this section brings in the key institutional features of trademarks as a part of the IPR system and briefly examines the economic rationale and the historical practise of their use by business firms.3 The IPR institution According to the World Intellectual Property Organization (WIPO) a trademark is defined as a “distinctive sign used to distinguish the goods or services of an enterprise from those of another” (WIPO, 2003). The two objectives of protection and dissemination built into this definition are practically indistinguishable. Like patents a trademark provides legal protection to the owner by granting the exclusive right to use it to identify goods or services, or to licence its use to another in return for payment. Rights are granted at the national level but, unlike patents and copyrights, once registered marks can be renewed indefinitely in time on payment of additional fees. The common expectation in trademark regimes is that a registered mark is used; an unused trademark is implicitly regarded as a barrier to economic initiative and can be applied for by another company after a grace period. Today, trademarks may consist of one or a combination of words, slogans, letters, and numerals; they may also be drawings, symbols, three-dimensional signs such as the shape and packaging of goods, audible signs such as musical or vocal sounds, or distinguishing fragrances, colours and holograms. Therefore, when compared to patents, they might seem like a lower order of intellectual creation. However, as stated by Doern (1998, p. 72), who carried out over 70 interviews with officials of seven agencies, trademarks generate the second highest volume of IPR revenue after patents. Notwithstanding the traditional neglect, trademarks constitute a crucial part of innovation and commercial processes helping to attract scarce attention from the public and differentiate the nature and quality of products. As a creation of the mind, a trademark does not reveal technological inventiveness but rather marketing creativity. Patents are granted to inventions on the basis of nonobviousness, inventiveness in the face of prior art and the potential for industrial application. A commercial sign, on the other hand, may also be denied registration but only if judged deceptive to consumers (e.g. if it can be confused with other marks, if it contains a misleading description of the character or quality of the goods or services, etc.), if it is deemed contrary to morality or if it denotes symbols reserved to the state or public organisations. Trademarks are an IPR issued by an authorised national government agency following an examination process that is dependent on the criteria just alluded to and on a mix 3 For a historic accounts of trademarks see Diamond (1983) and Wilkins (1992). 4 of limited human and technical resources administrated by a patent and trademark office. Once an application has been filed, examiners search available databases to detect any other marks in use that can come into conflict with the applicant’s. A successfully registered trademark is recognisable by having one of these two symbols attached: “” or “”. The lag between the filing and formal registration is much shorter than that for patents. For instance, while it takes up to a year to register a Community Trade Mark (CTM) for a mark for which there is no grounds of refusal, it can take over five years to obtain a patent from the European Patent Office. The first international trademark agreement was reached at the Paris Convention of 1883 whereby countries involved agreed to provide the same protections regarding marks to foreign applicants as those provided to nationals. In this context, WIPO eventually emerged as the global coordinating institution promoting the development of IPR laws and facilitating the international registration of trademarks. This role emanates from the 1891 “Madrid Agreement Concerning the International Registration of Trademarks” that opened up the scope for protection of marks beyond their market of origin. Another important international development was the establishment of the CTM in Europe, which came into being with the establishment of the Office for Harmonisation in the Internal Market (OHIM) in 1994, a EU institution. The sources for trademark information have to be found elsewhere than the OECD and national offices of Science & Technology. Amongst the national sources, the Patent and Trademark Offices are the public agencies traditionally entrusted with registering and keeping the records of trademarks, but unfortunately not necessarily with easy access to the data or easily usable for statistical treatment. The major public international agencies responsible for trademarks are WIPO and OHIM. OHIM publishes monthly and annual surveys of trademark activity, broken down by country of applicant, year of filing and registration, trademark classes of goods and services and trademark types (word mark, figurative mark, three-dimensional mark, etc) since 1996. Finally, amongst private sources there are an increasing variety of firms compiling and selling databases on trademarks, mostly for consultancy purposes. Brands and business strategy Brands are commercial signatures that firms create, maintain, protect and reinforce for a number of different marketing objectives. Brand names have multiple origins. Some are linked to the names of the company founders (Ford, Nestlé), others show a connection to a particular line of business (Microsoft, Airbus), other still are pure neologisms (Kodak, Xerox). Brands become genuine cultural references especially since the late XIX century with the rise of consumer product industries oriented toward mass markets in western societies. Brands such as Coca-cola, Campbell’s Soup or McDonalds are liked (or disliked) by many but surely they mean something to everybody. Many brands became synonym in many languages of iconic innovations of the XXI century (Hoover, Gillette, Black & Decker). Many others established themselves as true national symbols (GM, Ferrari, Nokia) or even came to signify the achievement of transnational partnerships (Airbus). For better or for worse brands are with us, and their influence on our lives is not bound to diminish in the near future. Judging from newspaper interviews to CEO’s and popular business literature, branding is becoming an ever more central concern in 5 corporate strategy. Evidence from everyday life tells us that hardly anything goes unbranded. Even fruits are branded – Chiquita bananas. But, where does all that interest in brands come from? Surely brands are obviously of interest to buyers. However, the ways in which such awareness and loyalty commanded by brands translates into a competitive asset are not completely clear. The rationale and actual influence of trademarks is a relatively neglected aspect in the study of the development of modern corporations (Wilkins, 1992). For one, economics has notoriously little to say about the activity of branding. From the point of view of many economists prices and quantities are still the most important economic variables. The complex deliberation process concerning other attributes, such as quality, features, reputation, support services, and so forth, is still scarce dealt with in economic theory, not to mention applied research (Trajtenberg, 1990, p. 8). Standard industrial organisation textbooks tend to cluster issues such as product differentiation and advertising in the same chapter and focus on the relationship between market structure and the advertising-to-sales ratio. Brand decisions are implicitly considered part of advertisement expenditures. Luís Cabral, an editor of the Journal of Industrial Economics and author of a popular textbook on the field, goes on to make an interesting declaration on this subject. Under the heading “Price and non price strategies” of a teaching note available in the companion site of his book, he states that: “(a)dvertising is not one of the core topics of IO ... this chapter may therefore be omitted from a course directed primarily at economics majors”, and he goes on to admit that “(n)ot much economics research has been done on this topic. As a consequence, most of the points presented are rather tentative: more questions are raised than answered.” (Cabral, 2000). The only paper explicitly on the “economics of trademarks” we found (an interesting but rather under-cited paper published in a technical journal) gives us the usual cost and benefit perspective (Economides, 1987). The author points out that the key reason why brands are indispensable for the efficient provision of products is because they are a device which facilitates consumer’s choice in the wide rage of variety and quality combinations available in a modern economy. Nevertheless, the conventional reasoning goes on, monopoly power embedded in the IPR is bound to cause inefficiencies and allocative distortions. Part of such anti-competitive effects consists of barriers to entry to new competitors. The treatment of this dynamic competition issue is very hard to grasp using the traditional analytical framework of mainstream economics. In practical terms, a trademark should protect a brand when its expected value (probability of being accepted times the revenue associated with the brand) exceeds the cost of applying for it (plus the present value of the fees needed to maintain the mark). In the management literature the question “to brand or not to brand” is treated by marketing research. In terms of the classic marketing framework, brands are included in the Product variable of the marketing mix. The “marketing mix” is the conventional view of the set of tools that a firm blends to influence the demand for its product – it comprises the well-known “four Ps”: Product, Pricing, Promotion and Placement (Kottler et all, 1999). Contrary to what one would expect, brands are not seen as a tactical tool for promotion management, which instead refers to communications activities including advertisement, sales-people approach to customers, special promotions, public relations, etc. This is evidence that marketeers 6 regard brands as a key characteristic that helps delivering the core benefits of the product to the consumers. The implication of this understanding is that brands do more that just transmitting persuasive signals (horizontal differentiation), they also have a deeper role in transforming customers’ experience of using the product (vertical differentiation). Customer benefits such as trust and satisfaction have a translation into the strategic motivations that underlie trademark management. The issue of whether or not to go ahead with branding a product depends on a complex list of potential motivations that have to be balanced with the cost of the branding strategy – see Box 1. In deciding to create a brand, and whether or not protecting it legally through a registered trademark, a company is expected to define its overall brand strategy. According to the marketing literature there is a proliferation of strategic intents when a company introduces additional items in existing products under the same brand, such as new flavours, ingredients, colours, packages, etc., which eventually evolve to become sub-brands (e.g. Diet Coke, Pepsi Blue). Another common strategy, called brand-stretching or brand extension, consists of using a successful brand image to launch new or modified products into new categories (a classic case being the way Honda penetrated the US car market having achieved a great reputation for motorcycle engineering). Since there are no established taxonomies we give our own, incomplete, list of motives and strategies behind the uses of brands. Box 1. Strategic motivations behind the creation of a brand • • • • • • • • • Building inelasticity around the product and achieving a premium pricing (differentiation, line extensions) Opening up opportunities to enter new product segments or entirely new lines of business (brandstretching) Penetrating new geographical markets (geographical market diversification) Improving the conditions for appropriating the returns on innovation whenever other means are not effective Entering the market for trademarks (licensing) Saving on promotion expenditures (building loyalty) Achieving greater bargaining power against suppliers (supply chain coordination) Signalling changes in strategy or changes in corporate identity (internal and external marketing) Extending the protection conferred by other IPRs after their expiration date (namely patents) Naturally, as in the case of patents, trademarks are not all identical in their value. The value of patents is equated to the net money equivalent stemming from the exploration of the rights associated to a particular idea or innovation (Grilliches, 1990, p. 1690). The value of a patent is generally considered proportional to be the magnitude of the innovation protected (Trajtenberg, 1990, pg. 5). In management literature, what counts to determine trademark equity is a set of characteristics such as name awareness, customer loyalty, perceived quality and associations to the brand that add value to the product being offered (Aaker, 1991). Trademark or brand equity influences the market value of a firm, namely of the large corporations acting on the global market. Interbrand, a specialised consultancy firm regularly releases reports where it estimates which are the world’s most important brands – see Figure 1. Summing up, in seeking and maintaining trademark rights, companies make important economic decisions. Companies decide to create or enhance a protected brand to 7 distinguish themselves from other suppliers and to rise above the competition. Therefore, something deeper than horizontal differentiation is at stake. By monitoring what happens to trademarks we can learn a great deal about the entrepreneurial dynamics of given firms or aggregates of firms as well as gain a lever for making inferences about their marketing capabilities. This is the reason why trademark statistics are interesting in spite of all the difficulties involved in their use and interpretation. Table 1. The world’s most valuable brands 1990 1992 1996 1997 1999 2000 1 Coca-cola Marlboro McDonald’s Coca-cola Coca-cola Coca-cola 2 Kellogg’s Coca-Cola Coca-cola Marlboro Microsoft Microsoft 3 McDonald’s Intel Disney IBM IBM IBM 4 Kodak Kellog Kodak McDonald’s GE GE 5 Marlboro Nescafé Sony Disney Ford Nokia 6 IBM Budweiser Gillette Sony Disney Intel 7 Amex Pepsi-Cola Mercedes Kodak Intel Disney 8 Sony Gillete Levi’s Intel McDonald’s Ford Sources: www.interbrand.com, Kotler et al (1999), Granstrand (1998) 3. Towards a trademark indicator This section will argue that trademarks constitute a unique and under-used source for the analysis of the process of innovation and industrial evolution. Trademarks rival with patents in terms of accessibility and quantity of available data. True, they do not exhibit the same detail of information; patents show the description of a technological invention, the individual inventors that contributed to it and the citations made of prior art. It is also not fully clear what trademarks really indicate. However, the promise of adding a new indicator of innovative economic activity to the limited portfolio of output innovation indicators is a strong motivation for researching trademark data. If that promise is fulfilled, the potential applications to fields such as innovation studies, industrial dynamics, business history and international trade can be very rewarding. Of course, implications for public policy and management strategy should follow. Indicators in innovation studies Indicators are means to obtain quantitative information about certain aspects of a phenomenon. There are, of course, no perfect or complete indicators of innovation as there are no perfect indicators of other socio-economic phenomena. The particular problem with the innovation phenomenon is its multidimensional nature involving qualitative change of economic, strategic, organisational and institutional factors. 8 Thus, in order to operationalise a trademark indicator it is important to get to terms with the ontological requisites for achieving reliable knowledge. Innovation indicators are expected to convey behavioural information on social entities. They detect and register “levels” and “dynamics” of individuals, companies, institutions and countries. The imperfect nature of the figures is always present; these are ‘indications’. Indicators capture, but only partially so, some aspects of the object at stake. One needs, therefore, to be aware of the intrinsic limitations of an indicator; it is not an objective, complete measurement. Indicators are institutionally created and maintained. They are socially constructed, growing more out of practice e rather than out of theory. There is nothing sacred about them. For instance, there are no a priori reasons to think that registered trademarks on brands do not involve a process as judgemental and non-technical as patents on inventions. They often turn out to be given other uses from those originally intended (Patel and Pavitt, 1994). Numbers can be as misleading as words. As Smith (2004) stresses, indicators are not simple numbers. They tend to come with strings attached, they imply associations to given theories or views of the world which shape the way quantitative information is produced and/or interpreted. In the case of trademarks, even though we take the view of innovation as an evolving process of interactions and feedbacks, this indicator provides information on one specific event (filing) with no information on such interactions, inputs or differential impacts. This invites us to follow the recommendation made by Martin and Irvine (1983) and take trademarks as a partial indicator of performance that should be combined with other information in order to produce reliable results. The study of the sources and patterns of technological change has progressed enormously since the mid-1960s when the first internationally comparable statistics on R&D activities were published by the OECE on the basis of work by C. Freeman and A. Young. Despite having such a long history S&T indicators remain contested even today, one paramount reason being the emphasis on inputs rather than on outputs and impacts (Godin, 2003). In order to realise the potential of trademarks we need to identify the basic procedures that should be involved in counting and comparing. Only with scepticism and methodological care can trademarks be used in certain cases as an indirect measures of innovation and a tool to assess structural changes in the economy. Trademarks as an indicator To our knowledge the first explicit reference to trademarks as an indicator of innovation is a report on the 2001 Germany’s Technological Performance, a report written on behalf of the Federal Ministry of Education and Research by a group of 8 German research centres (Velling, 2002). The team of authors argue that trademarks can no longer be considered a subordinate industrial right. The fact that the number of trademark registrations filed in Germany tripled during the 1990s area a “clear indication that trademarks are being assigned considerably more importance than in the past” (Velling, 2002, p. 20). Although novelty is not a requirement for registering a trademark, the authors say one can safely assume that trademarks are filed primarily for new products and services. They also point out that commercial enterprises constitute a large number of applicants. Another positive aspect emphasised in this 9 pioneering contribution relates to the degree the indicator keeps pace with the market; in Germany it takes just six months for a trademark to be entered into databases after application. However, the trademark section of the report is rather short (4 consolidated pages in a total content of 174 pages) and lets many questions both unasked and unanswered. For example, why do the authors prefer to count trademarks applications and not registrations? Our answer would be that due to the lack of technical content in trademarks, applications reflect much better the trademarking intentions, and the revealing underlying motives of protecting innovation and marketing capabilities of companies. In a recent study, Schmoch (2003) has concluded for the suitability of service marks as an indicator of innovation in this sector “as they meet essential preconditions, in particular correlation to innovation, good data access by electronic databases, and the possibility of operationalising them in relevant dimensions of desegregation” (p. 155). We go in the same direction of this recent work, using EU data to assess both manufacturing and service products trademarks. In comparison with some widely used innovation indicators, trademarks appear to be complementary. Trademarks have a comparative advantage in capturing small firms due to the relatively small fees involved in filing and maintaining marks. They are an additional output indicator, to the existing limited number of output indicators. In this context, when compared to patents, they are closer to commercialisation and cover a broad range of activities from manufacturing product classes to service classes. 10 Table 2. Different approaches and measures of innovative activities Indicator Type R&D expenditure input Technical personnel input Patents output Advantages Limitations Level of analysis Sources availability lack of detail country OECD economic variable industry captures different formal competencies overestimates large electrical and chemical firms qualifications are not homogeneous firm country national statistical offices OECD complement to R&D statistics does not capture informal competencies industry extremely detailed uneven propensities to patent regular and very long-run Trademarks output captures small firms covers both manufacturing and service industries S&T field firm country S&T field underestimates small firms, design, mechanical, software and services activities industry Nice classes are considerably aggregate and heterogeneous country captures innovations coming out of universities and public research organisations product class firm firm national statistical offices OECD national patent and trademark offices European Patent Office OHIM WIPO national patent and trademark offices From trademark data to information on innovation and industrial phenomena Given the experience with using patents as proxy measures of technological activities (Pavitt, 1985; Griliches, 1990) we take advantage of this accumulated knowledge and techniques to explore the potential of trademark data. There are strong reasons to believe that a correlation between innovation and trademark use exists. In his study Schmock (2003) finds a highly significant correlation between innovation and marks, namely in the manufacturing sector. Focusing on service marks he found considerable differences between sectors, namely regarding the trade sector, technology-oriented services, or knowledge-intensive services, with the indicator being particularly relevant in the latter case. In a study on the use of Portuguese IPRs by residents Godinho et al. (2003, p. 154) also found sharp and highly statistically significant differences across manufacturing sectors according to their technological intensity. Trademark use is not randomly distributed across sectors at the 1% significance level, with high and medium-high technological intensive sectors being heavy users of trademarks. In what concerns services, the class of information intensive service sectors was also found to be associated to a higher pattern of use of trademarks at the 5% significance level. As with patents, trademark statistics have the strength of reasonably unambiguous legal definition, being collected and classified by (the same) specialised institutions, in accordance to international agreements, and long time series are available. The 11 basic classification follows from the 1957 Nice Agreement Concerning the International Classification of Goods and Services for the Purposes of the Registration of Marks. The Nice Classification system distinguishes between goods and services. It is regularly revised and is now on its 8th edition, which is in force since January 1, 2002, has 34 classes of manufactured goods and 11 classes of services (three new service classes were added in the last edition). One difficulty, however, Nice classes do not have a direct connection sectoral nomenclatures such as the NACE (Statistical Classification of Economic Activities in the European Community). For the purpose of the analysis of innovation and industrial dynamics, the greatest limitation of the classification is that the different classes are much too aggregate. For example, Class 5 covers the product categories of pharmaceutical, medical and veterinary preparations, mixed with dental wax, disinfectants, fungicides, herbicides, and even food for babies. Another characteristic of trademark data is that a given trademark for a word or symbol can be asked just for one or for several or even all Nice classes. This means that the number of counts in the total classes will be much larger than the total number of trademarks filed, even if it is possible to identify such multiple classifications. This is a limitation for cross-sectoral analysis, and is unlike other output indicators. Furthermore trademark applications are not classified according to the main product line or productive sector of the applicant company. A given product or supplier can also be protected by more than one trademark. For instance, the Coca-Cola beverage is protected by the word mark “Coca-Cola”, by its distinguishing logo (the stylised letters composing the word underlined by a ribbon) and by a three-dimensional mark protecting the distinctive shape of the bottle. Intel Corporation not only protected its Intel name with a word mark and a corresponding logo, it filed a sound mark as well (see Box 2). These considerations mean that there is no clear-cut correspondence between a new product and a new trademark. Raw data can lead us to over evaluate the patterns observed. However, the multiplication of trademarks in certain product categories Box 2. Examples of overlapping protection using trademarks and other IPRs According to the Coca-Cola corporation its flagship brand is the most recognised trademark in the world, with 94% of the world’s population recognising it, and it is the most widely recognised word after “OK”. The trademark for the word “Coca-Cola” was obtained in 1887. The type of print used for the logo is called “Spencerian Script”. In an effort to safeguard the bottle contour it was registered in 1977 as a three dimensional mark. The argument was that the packaging distinguished the beverage from others. In another example, Intel has also registered its well known jingle. The musical notation describing the registered Intel’s jingle is pictured on the side. The relationship between the trademarks and other IPRs, namely industrial design and copyright, is evolving. Another aspect of these times of change is institutional tension created by the Sources: www.coca-cola.pt, www.dww.com/articles/protect.htm 12 surely constitutes evidence of increased competition, whether horizontal and/or vertical. One further limitation is the anecdotal observation that there are many unregistered brands in use in the marketplace. This is similar to the problems found in patents: not all inventions can be patented and not all patentable inventions are patented. In the case of trademarks, brands take the place of inventions. Unlike inventions, however, a given brand might be protected by many trademarks (words, logos, 3D mark, sound, etc.) whereas an invention is supposed be protected by just one patent. The effect of this on different companies, product categories, industries and countries is not yet fully clear, and other limitations are possibly not yet identified. One lesson taken from patent analysis is that decisions to file an IPR vary among different companies, technologies, industries and countries. Likewise, there is no reason that decisions to trademark do not vary as well. On the positive side the large and increasing numbers of trademarks allow us to be confident that many aspects of corporate commercial activities can be revealed through this indicator. Because they are cheaper and do not require a technological breakthrough, a much wider range of SMEs are likely to be involved in applying for trademark rights compared to patent rights. Moreover, given the known limitations of patents this indicator is an important complement for covering service activities. This allows us to cover a wider spectrum of the industrial structure. In this paper we use CTMs as source of internationally comparable trademark statistics. Why use OHIM data? This EU trademark system is certainly biased towards members-states’ commercial activities, generating therefore an over-representation of European trademarks. However, as the EU is the world’s largest market, it is certainly an important space for protecting brands from counterfeiting. Moreover, given the fact that CTMs are attractive to non-EU filers and that applications from all countries are considered on an equal footing we have, henceforth, a useful basis for international comparisons. Furthermore, different trademark applications are judged against precisely the same criteria using the same database. From an instrumental perspective, OHIM presents the researcher with a wealth of comparable trademark data and reports are freely accessible online. 4. Empirical exploration This study asks two main questions: (1) can innovation and industrial change be assessed through trademark-based indicators?; (2) more precisely, can significant differences and evolution in performance be identified? We will answer positively both questions. Although the methodological understanding for using trademarks is far from mature, our results show that this indicator can generate useful insights for researchers, policy-makers and managers. In addressing these research questions we hope not only to demonstrate the power of this type of data for studying innovation and industrial change but also to shed light on the case of Portugal in the European context. Trends in Community Trade Marks (CTM) applications 13 In this sub-section we present data on the rate and direction of CTM applications. We start by the basic observation of aggregate trademark filings. Figure 1 shows the number of total CTM filed since it became instituted. In 7 years 294 625 CTMs were filed by companies from the EU and around the world, corresponding to an average of about 42 000 trademarks a year. Of this total 65% were word marks and 34% were figurative marks (logos). Figure 1. Total CTMs filed, all countries, 1996-2002 70,000 60,000 50,000 40,000 30,000 20,000 10,000 0 1996 1997 1998 1999 2000 2001 2002 Source: OHIM (2003), Annual Report 2002 Note: 2000 data point is based on estimation by interpolation. The high level of trademark applications in the first year (1996) is due to the start of new registration system. Many marks were already in existence in other regimes and decisions of economic agents were waiting for the start of the new system. If we compute the average rate of growth using the extreme years of 1996 and 2002 we have a 0,6% change. But if we disregard the figure for the first year, there has been a growth of 8,7% in annual applications. Later years reveal a downward trend in the number of applications, a phenomenon probably caused by the general macroeconomic downturn and a readjustment of business investment expectations. What about the territorial origin of those applications? As expected, Table 3 shows applications are dominated by the 15 EU Member States. Table 3. – Origin of CTM applications, 1996-2002 Annual average 1996-2001 Year 2002 Number of applications % Number of applications % EU-15 Non-EU Countries 25 679 15 908 62 38 29 435 15 669 65 35 Total 41 587 100 45 104 100 Source: OHIM (2003), Annual Report 2002; Own calculations 14 Within the EU Member States exhibit different performances as portrayed in Table 4. Trademark applications are strongly concentrated. Germany, UK and Italy filed 60% of the total CTM filed in the period from 1996 to 2001.4 As expected the first five countries in trademark applications correspond to the largest European economies and are responsible for 80% of all the filings. Among the countries outside the EU the US represents 78% of these CTM filed between 1996 and 2001. In fact, the US is the biggest single user of the CTM system; it applied for more CTMs than any European country. As such, this suggests that “trademarking” in the EU’s large and sophisticated market is a comprehensive reflection of the trends and patterns in the development of marketing activities of firms. The normalisation of these figures according to population and the size of the economy provides further information. Beyond Luxembourg, where a high number of MNC’s headquarters are located, a number of small countries appear at the top, including the Nordic countries, Ireland and Austria. Their pattern of business activity appears to be trademark intensive in the European context, relative to population and to the GDP. The UK, and to some extent Germany, performs particularly well among the largest countries.5 Interestingly enough, European patent data point to a similar pattern (Eurostat, 2002). Within the EU, Germany accounts for the largest share of the EU’s total patent applications at the European Patent Office (EPO) with 42.4%. France and the UK accounted for 14.4% and 12.9 % respectively, showing that European patent applications to the EPO are largely skewed towards the large economies. However, when taking population into consideration, we have again the small Scandinavian economies outperforming the large economies: Sweden and Finland recorded the highest rates. Among the smaller countries, Portugal and Greece have little trademark activity, even when considered in relative terms. This is not totally surprising under the light of other innovation indicators. Table 4. Trademark performance among the EU, 1996-2001 1996 - 2001 MC/Pop MC/PIB DE 41554 LU 2852 LU GB 32664 DK 734 SE 61 25 IT 17713 SE 623 DK 25 ES 15679 IE 619 GB 22 FR 14944 GB 547 IE 21 NL 6586 DE 506 ES 20 SE 5530 AT 456 DE 20 DK 3915 FI 453 FI 18 AT 3700 NL 415 AT 17 BE 3655 ES 397 NL 15 FI 2347 BE 356 BE 14 IE 2344 IT 310 IT 12 4 Detailed 2002 data not available. Conclusions must be prudent. As trademarks we are counting my types of distinctive signs such word marks, logos, 3D, etc. Moreover, many trademarks can protect specific goods and services at the same time. Strategies to protect products may vary from country to country. 5 15 PT 1543 FR 254 FR 10 LU 1252 PT 154 PT 9 GR 648 GR 61 GR 4 154074 EU 410 UE 17 EU Sources: OHIM (2003), Statistics of community trade marks, Situation at the end of 2002; OCDE, Labour Force Statistics; Own calculations Note: BE – Belgium ; DK – Denmark; DE – Germany; GR – Greece; ES – Spain; FR – France; IE – Ireland; IT – Italy; LU – Luxembourg; NL – Netherlands; AT – Austria; PT – Portugal; FI – Finland; SE – Sweden; GB – United Kingdom On dynamic terms EU’s “trademarking” performance has been ahead of the “rest of the world”. Between 1996 and 2001 the CTM applications for the EU-15 taken together grew annually 2.4%; excluding 1996 EU applications grew at an average annual growth of 9.8%. Within the EU, Spain and Greece, followed by Luxembourg and Portugal, have been increasingly active. Sweden and Netherlands have had lower growth rates. 16 Table 5. Detailed annual data for the EU-15, 1996-2002 1996 BE DK DE GR ES FR IE IT LU NL AT PT FI SE GB UE 643 706 7 714 85 2 794 1 610 282 2 211 137 1 069 678 161 358 855 5 705 1997 418 473 3 911 65 1 468 1 891 217 2 070 112 908 393 183 282 713 3 659 1998 562 526 4 811 78 1 965 2 131 289 2 378 148 877 537 232 330 787 4 234 1999 574 621 7 040 111 2 609 2 735 436 3 263 227 994 615 274 387 870 5 303 2000 771 822 9 793 161 3 417 3 406 636 4 221 349 1 632 766 396 507 1 346 7 622 2001 687 767 8 285 148 3 426 3 171 484 3 570 279 1 106 711 297 483 959 6 141 2002 Growth rate Growth rate Growth rate Growth rate 96-01 97-01 97-02 96-02 598 727 7 113 197 3 759 3 411 429 3 719 233 1 055 717 378 438 801 5 860 1.1% 1.4% 1.2% 9.7% 3.5% 12.0% 9.4% 8.3% 12.6% 0.6% 0.8% 10.7% 5.1% 1.9% 1.2% 10.4% 10.2% 16.2% 17.9% 18.5% 10.9% 17.4% 11.5% 20.0% 4.0% 12.6% 10.2% 11.4% 6.1% 10.9% -1.0% 0.4% -1.2% 12.8% 4.3% 11.3% 6.2% 7.7% 7.9% -0.2% 0.8% 13.0% 2.9% -0.9% 0.4% 6.2% 7.4% 10.5% 20.3% 17.0% 10.3% 12.0% 10.3% 13.0% 2.5% 10.5% 12.9% 7.6% 2.0% 8.2% 25 008 16 763 19 885 26 059 35 845 30 514 29 435 3.4% 12.7% 2.4% 9.8% Sources: OHIM (2002), Detailed Applications Statistics. Situation at the end of June 2002; OHIM (2003), Annual Report 2002; Own calculations Note: Data for 2000 are estimations. Heterogeneity is also evident in terms of the distribution of applications by Nice classes. Table 6 shows the ten most “trademarked” product classes between 1996 and 2002. These absorbed 53.2% of the total applications. In 2002 the most demanded product categories were: Instruments (Class 9), Research (Class 42), Business Consultancy (Class 35), Paper Products (Class 16) and Education (Class 16).6 It is interesting to note that the service categories in the top five (Classes 42, 35 and 16) are broadly correspondent to what Miles (2004) knowledge-intensive business services, or KIBS, and to what Godinho et al. (2003) and Schmock (2003) called and knowledge-intensive and information intensive service sectors. 6 It is still not clear is this is due to a great dynamism of innovative activities in this product classes or rather a manifestation of toughness of competition. 17 Table 6. Most “trademarked” NICE product classes, 1996 to 2002 Top 10 1 2 3 4 5 6 7 8 9 10 Total NICE Class 9 42 16 35 41 25 38 5 36 3 Applications 1996-2001 79.374 64.171 44.927 41.535 32.935 29.659 29.292 21.276 20.618 17.864 % 12.1 9.8 6.9 6.3 5.0 4.5 4.5 3.3 3.2 2.7 Top 10 1 2 3 4 5 6 7 8 9 10 NICE Class Applications 2002 9 42 35 16 41 25 5 38 3 36 58.3 12.961 8.490 8.029 6.941 6.237 5.681 4.797 4.362 3.797 3.407 % 10.7 6.9 6.6 5.7 5.1 4.7 3.9 3.6 3.1 2.8 53.2 Source: OHIM (2003). Statistics of community trade marks. Situation at the end of 2002; Own calculations How do, on the whole, intangible products measure up to tangible ones? Table 7 shows that while classes of goods still count as the major segment, services are rising fast in importance. This might be interpreted as evidence of structural change in the EU economies. The latest OECD figures point out that the service sectors accounts of 70% of OECD’s GDP (OECD, 2003). The study by Velling and his colleagues (2002) finds the same pattern for German home trademark applications and Godinho et al. (2003) draw similar conclusions in the Portuguese case, as further explored in section 6. They also suggest that in the 1990s one of the possible contributing factors behind the spectacular increase of service marks in the increase of service marks applications by manufacturing companies. Table 7. Structure and sectoral dynamics of CTM “trademarking” Goods Services 1996 1997 1998 1999 2001 2002 74 72 69 65 58 66 26 28 31 35 42 34 Growth rate 96-02 Growth rate 97-02 0.4% 9% 6% 14% Fonte: IHMI (2002), Detailed Applications Statistics, Situation at the end of June 2002; OHIM (2003), Statistics of community trade marks. Situation at the end of 2002; Own calculations Note: Desagregated data for 2000 nor available If services are a dynamic category, how have services themselves changed in terms of structure? Looking for the individual service classes can give further insight into the direction of development in services and to the more dynamic services. Table 8 shows the composition of the service trademarks by different service classes, while table 9 presents the rates of growth7 of the different classes. The services with more trademark applications are Research (Class 42), Business Consultancy (Class 35), 7 Classes 43, 44 and 45 were added only in 2002, therefore their growth rates were not included. The inclusion of these new classes may have differentiated effects in the other classes. 18 Education (Class 41) and Telecoms (Class 38). Knowledge-based services again are prominent. Table 8. Composition of CTM service applications Nice Class 35 36 37 38 39 40 41 42 43 44 45 Descriptor 1996-2002 % Business Consultancy Finance Construction Telecommunications Transportation Processes Education Research Restaurants and Hotels Medical Care Personal Services 49564 24025 17814 33654 17346 6607 39172 72661 1883 1501 506 19 9 7 13 7 2 15 27 1 1 0.2 Services 264733 100 Total Source: OHIM (2003), Detailed Applications Statistics, Situation at the end of June 2002 The following table presents trademark application evolution by type of service for the available years. Nice classes growing above of the average of the service sector were again knowledge-based services: Business Consultancy (Class 35) and Telecoms (Class 38). Table 9. CTM growth within service product categories NICE Class Descriptor Growth rate 1996-2002Growth rate 1997-2002 35 36 37 38 39 40 41 42 Business Consultancy Finance Construction Telecommunications Transportation Processes Education Research 12.5 5.3 2.2 9.1 6.0 6.5 6.3 1.7 20.0% 14.4% 14.4% 16.5% 15.3% 15.2% 15.2% 8.6% Total Services 7.4 16.2% Source: OHIM (2002), Detailed Applications Statistics. Situation at the end of June 2002; OHIM (2003), Statistics of community trade marks. Situation at the end of 2002; Own calculations Two difficulties limit, however, our capacity to produce more precise conclusions. On the one hand, as already mentioned, Nice classes are very aggregate, containing many different kinds of products under the same heading. On the other hand, the short life of this IPR regime in Europe makes us cautious on the comparative dynamics of product classes. 5. Patterns of use of national trademarks by Portuguese firms 19 In this section we explore in greater detail data from the Portuguese case, drawing on a wide study on the use of IPR in Portugal. The oldest trademark in Portugal still standing today was registered February 20, 1890. The trademark Real Companhia Vinícola do Norte de Portugal given to the company with the same name for the specific uses of stamping it on Port wine casks.8 Among the ten oldest registered trademarks the majority of them correspond to the wine and olive oil business, corresponding to the historical productive profile of the Portuguese economy. The rest of this section reports evidence from the period from 1980 to 20019. With a yearly growth of about 10% a year, trademarks granted by the Portuguese National Intellectual Property Office (INPI) to resident companies surpassed annual GDP growth. Portuguese trademarkers are mostly business firms (80%), the rest are private individuals (most of whom are likely to be owners of small firms). Concession rates (trademarks registered on the base of trademarks applied) were, during this period, 86% for residents and 96% for non-residents. Non-residents tend to have trademarks that last longer: total dropout in the period was 11% where as residents dropped 19% of the trademarks registered in the period. Non-residents have a lower growth rate of applications; these companies’ applications peaked just after Portugal became a member of the European Economic Community. Among non-residents USA is the largest filer with 9% of all non-resident applications, followed by the UK (15%), Spain (12%), Japan (6%), France (4%), Germany (3%) and Brazil (3%). On the whole EU-15 filings account for 42% of the total non-resident trademarking. From the mid1990s Spanish and Brazilian companies became the most dynamic foreign trademarkers. National marks are also classified on the basis of the Nice Agreement. The most demanded classes by residents consist of Pharmaceutical and Hygiene Products (Class 5), Instruments (Class 5), followed by Detergents and Cosmetics (Class 3), Paper Products and Clothing and Footwear (Class 25). This pattern discloses some differentiation by applications of residents and, above all, a predominance of products in relation to the services. However, the last years of the period saw some changes, with classes typically of services be more demanded, namely Class 41 (Education), Class 42 (Research) and Class 35 (Business Consultancy), and filings divided equally between goods and services. Trends for both residents and non-residents follow a path of sectoral change in line with processes of economic development. These transformations are essentially characterised by a gradual fall of the proportional importance of the tangible goods and by increases in the service products. Table 10 presents this pattern. 8 9 This mark was registered as an international trademark in 1925 This sub-section draws substantially on Godinho et al. (2003). 20 Table 10. - Distribution of national trademark applications by goods and services Residents Non-residents Goods Services Total Goods Services Total 80-84 89.7% 10.3% 4665 87.8% 12.2% 4435 85-89 87.1% 12.9% 9285 87.4% 12.6% 9971 90-94 80.5% 19.5% 22669 84.6% 15.4% 22563 95-99 66.3% 33.7% 31279 78.9% 21.1% 17700 51.0% 49.0% 27751 72.4% 27.6% 7575 68.4% 31.6% 95649 82.2% 17.8% 62244 2000-02 Total 10 Source: INPI; Own calculations Also as expected, non-residents do not trademark as much services as the residents given the fact that services have been traditionally more locally based.11 It is also interesting to note that the weight of the national wine industry is reflected in the detailed data as Class 33 (Beverages) has much more filings by residents than by nonresidents. The information obtained from a survey on the use of IPR by resident firms shows that the interest for and actual use of IPRs is still very limited. Only 39% of business firms state having acquaintance with INPI activities, while a smaller proportion (19%) acknowledges actual use of IPRs or intention of their use in the near future. These values have a statistically significant variance across sectors and display a positive association with firm size. In terms of attitude, more than half of firms express a “low interest” in IP issues with responses varying between 54.0% and 86.7% for different IPR types. Trademarks are the more attractive IPRs, with 17.8% of the firms showing “high” interest for it and an additional 28.2% “medium” interest. In terms of actual use 4.2% of the surveyed firms state that they have applied for Patents or Utility Models while 17.7% applied for Trademarks and 2.6% for protection related to Technical Designs and Industrial Models. These results are not surprising or particularly different from what has been observed elsewhere. They stem from a variety of reasons, the most important ones being: (1) economic structure (relative low weight of both high tech industries and information intensive services and virtual absence of large firms acting on global markets); (2) low supply of critical competencies (required to explore commercially IPRs and manage complementarities within IPR portfolios); (3) low accessibility both to demanding users and to technology markets (this inhibits the capacity to explore commercially any IPR undertaken by firms, inventors or public research organisations). 10 11 June 2002. Negotiations on a General Agreement on Trade in Services (GATS) are now under way. 21 A number of variables revealed a statistically significant degree of association with the importance attributed to trademarks and their use in the past. These factors included the existence of an autonomous marketing department in the company, the relationship with specialised consultancies, the size of marketing budgets and the knowledge of the national IPR agency’s services and role. A variable such as size was always strongly significant in the analysis. However, whether a firm is geared to intermediary products or final consumer products does not discriminate the firms in terms of importance attributed to trademarks but only in their actual use: consumer goods firms tend to use more trademarks. Since we found a great correlation between the uses of different IPR rights, it is not unexpected that there are clear distinctions between manufacturing industries aggregated by technological intensity. High and medium high-technology industries tend to have an integrated strategy regarding both patents and trademarks. The technological intensity taxonomy seems to discriminate well between industries in relation to their use of trademarks. Services, which were classified as high or low information intensive, exhibit a clear divide: high information intensive service sectors such as consultancies, telecoms and banks use much more trademarks in their business strategies than sectors such as real-estate, restaurants, transportation and personal service industries. These survey observations are in line with the data on the filing of trademarks, from the database analysis. 6. Avenues for further research There are a variety of ways in which trademark data can be further analysed. The performance of different countries can be compared in terms of their Revealed Marketing Advantage (RMA) indicator, as has been done for other indicators. The RMA calculates a country’s industry share in each of the trademark classes divided by the share of total trademarking in the same class. It indicates the relative trademarking activity of a country (j) in a specific product category (i), normalised to the total trademarking of the relevant population in that class. Preliminary analysis using CTM data has shown that Portugal comparative marketing advantages lie in Metal Goods (Class 6), Textiles (Class 24), Business Consultancy (Class 35) and Personal Services (Class 45). While the first two results are unproblematic give the weight of automotive components and clothing products in the international trade profile of the Portuguese economy, the observation of service strengths is more difficult to interpret given their essentially non-transactional nature. TM ij RMA ij = ∑ TM kj k ∑ TM il l ∑ ∑ TM kl k l 22 Other aspects that can be further analysed include the life cycle of brands, the factors and trends in trademark licensing. The relationship between trademarks and other IPRs in the context of integrated IPR management can be further explored using quantitative data. The cross analysis of trademark data, regarding the ways different trademarks (word marks, logos, 3D, sound, etc.) are combined to protect given products or applications across different Nice classes (requiring extensive data cleaning and database management) is promising and not well understood. In this perspective trademarks can be understood as indicators of the marketing capabilities of profit-oriented firms. Studying how firms exploit trademark positions in certain classes to make inroads into other classes could yield valuable insights into the dynamics of product diversification. 7. Concluding remarks The implicit question this paper tried to answer was “what can welearn from trademarks as an indicator of innovation and industrial evolution?”. The objective was therefore to test trademarks as an indicator of product innovation activity as well as a measure correlated to structural change in contemporary economies. Brands are a very important part of firms’ marketing plans and strategies, they are used to protect firms’ products and business identity but also for other purposes like business diversification. Firms make a huge (and increasing) use of brands as a (dynamic) competition tool. As a result applications for service trademarks have boomed in the 1990s, and this trend was led by knowledge-based services: Business Consultancy, Telecoms and Education. Within the EU-15, a number of small countries seem to exhibit very strong marketing capabilities, namely the Nordic countries, Ireland and Austria. The analysis of more detailed data on Portugal revealed it is lagging behind in terms of such marketing capabilities. However, Portugal shows clear signs of structural change. It goes along the general trend towards increasing services trademarking. Moreover, the composition of this trend is biased towards Education, Research and Business Consultancy categories. Evidence from the Portuguese case suggests that companies that tend to use one kind of IPR tend to use other IPRs. That implies that highly technological intensive sectors, which use more patents, also make a more intensive use of trademarks. In the case of services, evidence from a survey in Portugal shows that industries usually classified as intensive users of information are those that use more trademarks. This observation is compatible with the evidence from the CTM database on the dynamism of knowledge services in recent years. Combined with the increasing availability of electronic data, these results indicate an interesting opportunity for using trademarks as indicators of innovation and industrial change. We argue that trademark data can serve the purpose of being a partial output indicator of new products introduced in the market and, therefore, can be used as an empirical yardstick for measuring overall change in the patterns of economic activity. This can prove to be especially useful for advancing research in innovation studies, industrial dynamics, international economics, as well as economic and business history. Acknowledging the limitations of this type of data, and having soughed to contribute to the methodological reflection on this indicator, this paper argues that 23 substantial knowledge about innovation and industrial change can be acquired with trademarks analysis. The fact that much remains to be done is the best of the good news. References Aaker, D.A. and E. Joachimsthaler (2000), Brand Leadership, The Free press: New York. Aaker, D.A. (1991), Managing Brand Equity: Capitalizing on the Value of a Brand, The Free press: New York. Cabral, L. (2000a), Introduction Industrial Organization, The MIT Press: Cambridge, Massachusetts. Cabral, L. (2000b), www.luiscabral.com Christopher, M. and M. Mcdonald (1991), Marketing: An Introdutcion, Pan... Cohen, W., R. Nelson and J. 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(1998), “Indicators for systems of innovation and system interactions”, IDEA Paper series 11, STEP Group. Patel, P. and K. Pavitt (1994), “Patterns of economic activity: Their measurement and interpretation”, in Stoneman. P. (ed.), Handbook of Economics of Innovation and Technical Change. Blackwell: Oxford. Pavitt, K. (1985), “Patent statistics as indicators of innovative activities: Possibilities and Problems”. Scientometrics, vol. 7, nos. 1-2, pp. 77-99. Scherer, F.M. (1983), “The propensity to patent”, International Journal of Industrial Organisation, vol. 1, pp. 107-28. Schmoch, Ulrich (2003), “Service marks as novel innovation indicator”, Research Evaluation, Vol. 12, 2, pp. 149-156. Smith, K. (2004), “Measuring innovation”, forthcoming in J. Fagerberg, D. Mowery and R. Nelson (eds), Understanding Innovation - Oxford Handbook of Innovation, Oxford University Press. Trajtenberg, M. (1990), Economic Analysis of Product Innovation: The Case of CT Scanners, Harvard University Press: Cambridge, Massachusetts. Trajtenberg, M. (2001), “Innovation in Israel 1968-1997: A comparative analysis using patent data”, Research Policy, vol. 30, pp. 363-89. Velling, J. (ed.) (2002), 2001 Germany’s Technological Performance, Bundesministerium für Bildung und Forschung, available at … Wilkins. M. (1992), “The neglected intangible asset: The influence of the Trade Mark on the rise of the modern corporation”, in Harvey and Jones (eds). ... . pp. 691-707. Appendix NICE CLASSIFICATION SYSTEM 1. 2. 3. 4. 5. 6. 7. 8. Chemicals used in industry. science and photography. as well as in agriculture. horticulture and forestry; unprocessed artificial resins. unprocessed plastics; manures; fire extinguishing compositions; tempering and soldering preparations; chemical substances for preserving foodstuffs; tanning substances; adhesives used in industry. Paints. varnishes. lacquers; preservatives against rust and against deterioration of wood; colorants; mordants; raw natural resins; metals in foil and powder form for painters. decorators. printers and artists. Bleaching preparations and other substances for laundry use; cleaning. polishing. scouring and abrasive preparations; soaps; perfumery. essential oils. cosmetics. hair lotions; dentifrices. Industrial oils and greases; lubricants; dust absorbing. wetting and binding compositions; fuels (including motor spirit) and illuminants; candles and wicks for lighting. Pharmaceutical and veterinary preparations; sanitary preparations for medical purposes; dietetic substances adapted for medical use. food for babies; plasters. materials for dressings; material for stopping teeth. dental wax; disinfectants; preparations for destroying vermin; fungicides. Herbicides. Common metals and their alloys; metal building materials; transportable buildings of metal; materials of metal for railway tracks; non-electric cables and wires of common metal; ironmongery. small items of metal hardware; pipes and tubes of metal; safes; goods of common metal not included in other classes; ores. Machines and machine tools; motors and engines (except for land vehicles); machine coupling and transmission components (except for land vehicles); agricultural implements other than handoperated; incubators for eggs. Hand tools and implements (hand operated); cutlery; side arms; razors. 25 9. Scientific. nautical. surveying. photographic. cinematographic. optical. weighing. measuring. signalling. checking (supervision). life-saving and teaching apparatus and instruments; apparatus and instruments for conducting. switching. transforming. accumulating. regulating or controlling electricity; apparatus for recording. transmission or reproduction of sound or images; magnetic data carriers. recording discs; automatic vending machines and mechanisms for coin-operated apparatus; cash registers. calculating machines. data processing equipment and computers; fire-extinguishing apparatus. 10. Surgical. medical. dental and veterinary apparatus and instruments. artificial limbs. eyes and teeth; orthopedic articles; suture materials. 11. Apparatus for lighting. heating. steam generating. cooking. refrigerating. drying. ventilating. water supply and sanitary purposes. 12. Vehicles; apparatus for locomotion by land. air or water. 13. Firearms; ammunition and projectiles; explosives; fireworks. 14. Precious metals and their alloys and goods in precious metals or coated therewith. not included in other classes; jewellery. precious stones; horological and chronometric instruments. 15. Musical instruments. 16. Paper. cardboard and goods made from these materials. not included in other classes; printed matter; bookbinding material; photographs; stationery; adhesives for stationery or household purposes; artists' materials; paint brushes; typewriters and office requisites (except furniture); instructional and teaching material (except apparatus); plastic materials for packaging (not included in other classes); printers' type; printing blocks. 17. Rubber. gutta-percha. gum. asbestos. mica and goods made from these materials and not included in other classes; plastics in extruded form for use in manufacture; packing. stopping and insulating materials; flexible pipes. not of metal. 18. Leather and imitations of leather. and goods made of these materials and not included in other classes; animal skins. hides; trunks and travelling bags; umbrellas. parasols and walking sticks; whips. harness and saddlery. 19. Building materials (non-metallic); non-metallic rigid pipes for building; asphalt. pitch and bitumen; non-metallic transportable buildings; monuments. not of metal. 20. Furniture. mirrors. picture frames; goods (not included in other classes) of wood. cork. reed. cane. wicker. horn. bone. ivory. whalebone. shell. amber. mother-of-pearl. meerschaum and substitutes for all these materials. or of plastics. 21. Household or kitchen utensils and containers (not of precious metal or coated therewith); combs and sponges; brushes (except paint brushes); brush-making materials; articles for cleaning purposes; steelwool; unworked or semi-worked glass (except glass used in building); glassware. porcelain and earthenware not included in other classes. 22. Ropes. string. nets. tents. awnings. tarpaulins. sails. sacks and bags (not included in other classes); padding and stuffing materials (except of rubber or plastics); raw fibrous textile materials. 23. Yarns and threads. for textile use. 24. Textiles and textile goods. not included in other classes; bed and table covers. 25. Clothing. footwear. headgear. 26. Lace and embroidery. ribbons and braid; buttons. hooks and eyes. pins and needles; artificial flowers. 27. Carpets. rugs. mats and matting. linoleum and other materials for covering existing floors; wall hangings (non-textile). 28. Games and playthings; gymnastic and sporting articles not included in other classes; decorations for Christmas trees. 29. Meat. fish. poultry and game; meat extracts; preserved. dried and cooked fruits and vegetables; jellies. jams. fruit sauces; eggs. milk and milk products; edible oils and fats. 30. Coffee. tea. cocoa. sugar. rice. tapioca. sago. artificial coffee; flour and preparations made from cereals. bread. pastry and confectionery. ices; honey. treacle; yeast. baking-powder; salt. mustard; vinegar. sauces (condiments); spices; ice. 31. Agricultural. horticultural and forestry products and grains not included in other classes; live animals; fresh fruits and vegetables; seeds. natural plants and flowers; foodstuffs for animals. malt. 32. Beers; mineral and aerated waters and other non-alcoholic drinks; fruit drinks and fruit juices; syrups and other preparations for making beverages. 33. Alcoholic beverages (except beers). 34. Tobacco; smokers' articles; matches 35. Advertising; business management; business administration; office functions. 36. Insurance; financial affairs; monetary affairs; real estate affairs. 37. Building construction; repair; installation services. 26 38. Telecommunications. 39. Transport; packaging and storage of goods; travel arrangement. 40. Treatment of materials. 41. Education; providing of training; entertainment; sporting and cultural activities. 42. Scientific and technological services and research and design relating thereto; industrial analysis and research services; design and development of computer hardware and software; legal services. 43. Services for providing food and drink; temporary accommodation. 44. Medical services; veterinary services; hygienic and beauty care for human beings or animals; agriculture. horticulture and forestry services. 45. Personal and social services rendered by others to meet the needs of individuals; security services for the protection of property and individuals. 27