IDEAS home Printed from https://ideas.repec.org/p/ipt/decwpa/2018-03.html
   My bibliography  Save this paper

Impact of counterfeiting on the performance of digital technology companies

Author

Listed:
  • Nikolaus Thumm

    (European Commission JRC)

  • Vincenzo Butticè

    (School of Management, Politecnico di Milano)

  • Federico Caviggioli

    (Department of Management and Production Engineering, Politecnico di Torino)

  • Chiara Franzoni

    (School of Management, Politecnico di Milano)

  • Giuseppe, Scellato

    (Department of Management and Production Engineering, Politecnico di Torino)

Abstract

Counterfeiting activities target companies in various sectors, including digital technology companies, defined as companies that produce and/or commercialize at least one physical product that incorporates a digital technology, excluding the merchandising related to the company brands. Counterfeiting is a fraudulent activity that potentially damages the economic and innovation performance of companies and can pose major threats to global competition and economic growth. However, the actual impact of counterfeiting on the performance of companies has not been tested empirically, due to methodological problems, including the lack of data on counterfeiting at the firm-level. Furthermore, prior theoretical studies have speculated that counterfeiting could have in part a beneficial effect on the performance of companies, due to indirect advertising, calling for empirical investigations to shed light on the issue. The goal of the present study is to provide empirical evidence on the impact of counterfeiting on both the economic and innovative performance of digital technology companies at the firm-level and on the global scale. To this aim, a new database was created combining data on counterfeiting activities during 2011-2013 (OECD-EUIPO, 2016) with financial information and patent data from 2009 to 2015. The result is a firm-level database that enables unprecedented analyses on the impact of counterfeiting on performance of digital technology companies. About 9% of the seizures of counterfeits that were illegally traded across borders during 2011 2013 involved goods commercialized by digital technology companies, equivalent to about the 9.1% of the total value of seizures. Collectively, about 11% of companies affected by illegal international trade of counterfeits are digital technology companies. The majority of these (58%) are big corporations with Operating Revenues greater than USD 1 bn. These account for 77% of the number of total seizures, and 84% of the value of seizures related to the digital technology companies. SMEs, defined as those with Operating Revenues up to USD 50 million, represent 21% of digital technology companies targeted and account for 5% of total seizures and 6% of the total value of seizures. The industries mostly targeted are electronics (both consumers electronics and electronics for industrial use), automotive and digital media. The digital technology products commercialized in frauds of IPRs include computer hardware and electronic components, batteries, sensors, autoparts, optical instruments, videogames, and recording of movies and motion picture. About 34% of digital technology companies affected by international trade of counterfeits are located in the EU28 or EFTA, 41% are located in North America, 23% are located in Asia. Within the EU28, UK, Germany, France and Italy are the countries hosting the largest number of targeted digital technology companies. Within the EU28, Germany and UK, followed by Belgium and Ireland, are the most-common country of destination of seized counterfeits. The overwhelming majority of seized goods related to digital technology companies is imported from Asia. 51% of these are imported from China, 41% comes from Hong Kong, China, 3% from Singapore. Other economies of provenance account each for less than 1% of the seizures. The vast majority (93%) of seizures affecting digital technology companies are due to violations of trademarks, and only a minority are due to violations of design models (4%), and copyrights (2%). Less than 1% of the seizures are due to violations of patents. However, seizures enacted in defence of patents are those that have the highest mean value. The analysis of infringed companies with respect to a control samples of non-infringed companies indicates that counterfeiting targets specifically highly profitable companies, with high propensity to innovate. Indeed, digital technology companies are more likely to become target of counterfeiting when they have larger Operating Revenues, and when they perform at a higher level in terms of profitability (return on total assets), prior to the window of observation. Target companies also have on average larger patent portfolios, prior to the observation of counterfeiting activities. Digital technology companies located in EU28 are on average less likely than companies located outside of EU28 to be the target of counterfeiting activities. Results from impact analyses indicate lower growth rates of operating profits for digital technology companies targeted by counterfeiting with respect to control samples of firms not affected by counterfeiting. In particular the econometric models provide evidence of a negative impact of counterfeiting on both EBITDA (Earnings before interest taxes depreciation and amortisation) and EBIT (Earnings before interest taxes). This result is robust across different estimation methods, model specifications and time windows. The data reveals only a weak negative impact on operating revenues, with limited statistical confidence. Conversely, there is no significant evidence that counterfeiting affected the investment in Fixed Assets of targeted firms with respect to the control sample. The results about the negative impact of counterfeiting activities on operating profits are in line with reports of greater costs incurred by these companies to enact anti-counterfeiting strategies, reported in prior descriptive literature. These practices include the broadening of product ranges, with fewer scale-economies and the enactment of anti-infringement procedures, such as conspicuous packaging, more screening and origin certifications, development of licensing downstream retailers and direct self-enforcement aimed at limiting the circulation of counterfeits. Results do not provide support for the existence of indirect positive spillover effects, as hypothesised by the theoretical literature, according to which infringed companies might benefit from an advertising effect due to the greater diffusion of brands from the counterfeiting activities. Indeed, at least for what concerns digital technology companies, there is no evidence of any positive effect of infringement on sales of original products. The digital technology companies that were affected by counterfeiting on average increased their patent portfolios during the observation period, but less than the digital technology companies that were not affected by counterfeiting. However, the result is not robust to the inclusion of control variables and to the adoption of alternative measures of innovation performance (Intangible Assets). It certainly merits further research, once more data on counterfeiting become available. Overall, the results indicate that counterfeiting activities harm the economic performance of targeted digital technology companies, by eroding their operating profits. The effect on innovative performance is negative, but still inconclusive due to insufficient dataset, and cannot exclude that counterfeiting may harm the propensity to innovate of digital technology companies. The analysis rules-out the existence of any positive spillover from counterfeiting.

Suggested Citation

  • Nikolaus Thumm & Vincenzo Butticè & Federico Caviggioli & Chiara Franzoni & Giuseppe, Scellato, 2018. "Impact of counterfeiting on the performance of digital technology companies," JRC Working Papers on Digital Economy 2018-03, Joint Research Centre.
  • Handle: RePEc:ipt:decwpa:2018-03
    as

    Download full text from publisher

    File URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC111550
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stan Liebowitz, 2005. "Economists’ Topsy-Turvy View of Piracy," Law and Economics 0505002, University Library of Munich, Germany.
    2. Kathleen Reavis Conner & Richard P. Rumelt, 1991. "Software Piracy: An Analysis of Protection Strategies," Management Science, INFORMS, vol. 37(2), pages 125-139, February.
    3. Berger, Florian & Blind, Knut & Cuntz, Alexander, 2012. "Risk factors and mechanisms of technology and insignia copying—A first empirical approach," Research Policy, Elsevier, vol. 41(2), pages 376-390.
    4. repec:fth:harver:1473 is not listed on IDEAS
    5. Fournier, Susan, 1998. "Consumers and Their Brands: Developing Relationship Theory in Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 24(4), pages 343-373, March.
    6. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    7. Grossman, Gene M & Shapiro, Carl, 1988. "Counterfeit-Product Trade," American Economic Review, American Economic Association, vol. 78(1), pages 59-75, March.
    8. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    9. Yi Qian & Qiang Gong & Yuxin Chen, 2015. "Untangling Searchable and Experiential Quality Responses to Counterfeits," Marketing Science, INFORMS, vol. 34(4), pages 522-538, July.
    10. Peitz, Martin & Waelbroeck, Patrick, 2006. "Piracy of digital products: A critical review of the theoretical literature," Information Economics and Policy, Elsevier, vol. 18(4), pages 449-476, November.
    11. Yi Qian, 2014. "Counterfeiters: Foes or Friends? How Counterfeits Affect Sales by Product Quality Tier," Management Science, INFORMS, vol. 60(10), pages 2381-2400, October.
    12. Gene M. Grossman & Carl Shapiro, 1988. "Foreign Counterfeiting of Status Goods," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 103(1), pages 79-100.
    13. Yi Qian, 2012. "Brand Management and Strategies Against Counterfeits," NBER Working Papers 17849, National Bureau of Economic Research, Inc.
    14. Alan Zimmerman & Peggy Chaudhry, 2009. "The Economics of Counterfeit Trade," Springer Books, Springer, number 978-3-540-77835-6, July.
    15. Cordell, Victor V. & Wongtada, Nittaya & Kieschnick, Robert Jr., 1996. "Counterfeit purchase intentions: Role of lawfulness attitudes and product traits as determinants," Journal of Business Research, Elsevier, vol. 35(1), pages 41-53, January.
    16. Wilke, Ricky & Zaichkowsky, Judith Lynne, 1999. "Brand imitation and its effects on innovation, competition, and brand equity," Business Horizons, Elsevier, vol. 42(6), pages 9-18.
    17. Rosalie Liccardo Pacula & Srikanth Kadiyala & Priscillia Hunt & Alessandro Malchiodi, 2012. "An Alternative Framework for Empirically Measuring the Size of Counterfeit Markets," NBER Working Papers 18171, National Bureau of Economic Research, Inc.
    18. Li, Ling, 2013. "Technology designed to combat fakes in the global supply chain," Business Horizons, Elsevier, vol. 56(2), pages 167-177.
    19. Yi Qian, 2008. "Impacts of Entry by Counterfeiters," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 123(4), pages 1577-1609.
    20. Alexander Cuntz, 2016. "The Quest for Robust Counterfeit and Piracy Figures: Custom Agencies as Statistical Decision-makers and Recent Evidence Based on German Imports," The World Economy, Wiley Blackwell, vol. 39(6), pages 873-887, June.
    21. Yi Qian & Qiang Gong & Yuxin Chen, 2013. "Untangling Searchable and Experiential Quality Responses to Counterfeits," NBER Working Papers 18784, National Bureau of Economic Research, Inc.
    22. Jeremy M Wilson & Brandon A Sullivan, 2016. "Brand owner approaches to assessing the risk of product counterfeiting," Journal of Brand Management, Palgrave Macmillan, vol. 23(3), pages 327-344, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Butticè, Vincenzo & Caviggioli, Federico & Franzoni, Chiara & Scellato, Giuseppe & Stryszowski, Piotr & Thumm, Nikolaus, 2020. "Counterfeiting in digital technologies: An empirical analysis of the economic performance and innovative activities of affected companies," Research Policy, Elsevier, vol. 49(5).
    2. Sun, Jiong & Zhang, Xing & Zhu, Qingyuan, 2020. "Counterfeiters in Online Marketplaces: Stealing Your Sales or Sharing Your Costs," Journal of Retailing, Elsevier, vol. 96(2), pages 189-202.
    3. Zhang, Jie & Zhang, Rachel Q., 2015. "Supply chain structure in a market with deceptive counterfeits," European Journal of Operational Research, Elsevier, vol. 240(1), pages 84-97.
    4. Yuetao Gao, 2018. "On the Use of Overt Anti-Counterfeiting Technologies," Marketing Science, INFORMS, vol. 37(3), pages 403-424, May.
    5. Li, Zhiwen & Xu, Xianhao & Bai, Qingguo & Guan, Xu & Zeng, Kuan, 2021. "The interplay between blockchain adoption and channel selection in combating counterfeits," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    6. Alberto Pastore, 2014. "No al falso! Un?indagine esplorativa sulle strategie anti-contraffazione delle fashion firms," MERCATI & COMPETITIVIT?, FrancoAngeli Editore, vol. 2014(2), pages 81-102.
    7. Berger, Florian & Blind, Knut & Cuntz, Alexander, 2012. "Risk factors and mechanisms of technology and insignia copying—A first empirical approach," Research Policy, Elsevier, vol. 41(2), pages 376-390.
    8. Wu, Chien-Wei & Gong, Jyh-Chyi & Chiu, Hsien-Hung, 2016. "Duopoly competition with non-deceptive counterfeiters," International Review of Law and Economics, Elsevier, vol. 47(C), pages 33-40.
    9. Francesco Rullani & Karin Beukel & Matteo De Angelis, 2021. "Anti‐counterfeiting strategy unfolded: A closer look to the case of a large multinational manufacturer," Strategic Management Journal, Wiley Blackwell, vol. 42(11), pages 2084-2103, November.
    10. Yi Qian & Qiang Gong & Yuxin Chen, 2015. "Untangling Searchable and Experiential Quality Responses to Counterfeits," Marketing Science, INFORMS, vol. 34(4), pages 522-538, July.
    11. Alexander Cuntz (a) And Yi Qian (b), 2021. "The Impacts of Counterfeiting on Corporate Investment," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 46(2), pages 1-40, June.
    12. Jie Zhang & L. Hong & Rachel Zhang, 2012. "Fighting strategies in a market with counterfeits," Annals of Operations Research, Springer, vol. 192(1), pages 49-66, January.
    13. Staake, Thorsten & Thiesse, Frédéric & Fleisch, Elgar, 2012. "Business strategies in the counterfeit market," Journal of Business Research, Elsevier, vol. 65(5), pages 658-665.
    14. Hu, Shu & Fu, Ke & Wu, Tong, 2021. "The role of consumer behavior and power structures in coping with shoddy goods," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    15. Chen, Jianqiang & Hsieh, Pei-Fang & Wang, Kun, 2023. "Cracking down on the infringement and counterfeiting: Intellectual property rights and corporate innovation in China," Finance Research Letters, Elsevier, vol. 55(PA).
    16. Crettez, Bertrand & Hayek, Naila & Zaccour, Georges, 2018. "Brand imitation: A dynamic-game approach," International Journal of Production Economics, Elsevier, vol. 205(C), pages 139-155.
    17. Wang, Yingjia & Lin, Jiaxin & Choi, Tsan-Ming, 2020. "Gray market and counterfeiting in supply chains: A review of the operations literature and implications to luxury industries," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    18. Bradley, Wendy A. & Kolev, Julian, 2023. "How does digital piracy affect innovation? Evidence from software firms," Research Policy, Elsevier, vol. 52(3).
    19. Busby, J.S., 2019. "The co-evolution of competition and parasitism in the resource-based view: A risk model of product counterfeiting," European Journal of Operational Research, Elsevier, vol. 276(1), pages 300-313.
    20. Yoo, Boonghee & Lee, Seung-Hee, 2012. "Asymmetrical effects of past experiences with genuine fashion luxury brands and their counterfeits on purchase intention of each," Journal of Business Research, Elsevier, vol. 65(10), pages 1507-1515.

    More about this item

    Keywords

    Counterfeiting; trade; trade seizures; digital technologies; economic performance; innovative performance; patents; trademarks;
    All these keywords.

    JEL classification:

    • F1 - International Economics - - Trade
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • L63 - Industrial Organization - - Industry Studies: Manufacturing - - - Microelectronics; Computers; Communications Equipment
    • O25 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Industrial Policy
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital
    • O39 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Other

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ipt:decwpa:2018-03. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Publication Officer (email available below). General contact details of provider: https://edirc.repec.org/data/ipjrces.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.