Abstract
The interface between the legal systems triggered by the creation, distribution and consumption of data is difficult to grasp, and this paper therefore tries to dissect this interface by following information, i.e. ‘data’, from its sources, to users and re-users and ultimately to its consumers in an ‘Internet of Things’, or ‘Industrial Internet’, setting. The paper starts with the attempt to identify what legal systems are applicable in this process, with special focus on when competition law may be useful for accessing data. The paper concludes that general competition law may not be readily available for accessing generic (personal or non-personal) data, except for situations in which the data set is indispensable to access an industry or a relevant market, while sector-specific regulations seem to emerge as a tool for accessing data held by competitors and third parties. However, the main issue under general competition law in the data industry, at its current stage of development, is to facilitate the implementation of the Internet of Things.
Dr. Björn Lundqvist, LLM (Michigan) is Associate Professor of EU Law at Stockholm University.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
- 2.
- 3.
- 4.
The Directive on the re-use of public sector information (Directive 2003/98/EC, known as the ‘PSI Directive’) entered into force on 31 December 2003, [2003] OJ L 345/90. It was revised by Directive 2013/37/EU, which entered into force on 17 July 2013, [2013] OJ L 175/1.
- 5.
Regulation (EU) 2015/758 of the European Parliament and of the Council of 29 April 2015 concerning type-approval requirements for the deployment of the eCall in-vehicle system based on the 112 service and amending Directive 2007/46/EC, [2015] OJ L 123/77.
- 6.
In order to accelerate retail banking innovation and simplify payments, the European Commission is mandating standardized API access across the EU. The initiative is part of the European Commission’s update of the Payment Services Directive (PSD). The revision of the PSD (PSD2) requires banks to provide access to third parties. See Directive (EU) 2015/2366 of the European Parliament and of the Council of 25 November 2015 on payment services in the internal market, amending Directive 2002/65/EC, Directive 2009/110/EC and Directive 2013/36/EU and Regulation (EU) No 1093/2010 and repealing Directive 2007/64/EC, [2015] OJ L 337/35. Cf. Commission (2015).
- 7.
There are French national initiatives to open e-platforms for third-party competitors. See e.g. French Senate (2013).
- 8.
Chisholm / Jung (2015), 7-21.
- 9.
ECJ, Huawei Technologies, C-170/13, ECLI:EU:C:2015:477.
- 10.
The definition of big data is vague and lacks precision; see de Mauro / Greco / Grimaldi (2016), 122-135.
- 11.
- 12.
Google is involved in several investigations in several jurisdictions regarding the company’s business conduct; see for example European Commission, Press release (IP/16/1492), Antitrust: Commission sends Statement of Objections to Google on Android operating system and applications, 20 April 2016.
- 13.
Ibid.
- 14.
See the updated PSI Directive, now including museums, libraries and other cultural institutions, and, moreover, the awkward exemption for exclusive licenses for cultural databases. Cf. The Directive on the re-use of public sector information (Directive 2003/98/EC, known as the ‘PSI Directive’), which entered into force on 31 December 2003: [2003] OJ L 345/90. It was revised by Directive 2013/37/EU, which entered into force on 17 July 2013: [2013] OJ L 175/1.
- 15.
Newman (2013), 3 et seq. with references.
- 16.
Ibid. See also e.g. Kerber (2016), 3 et seq.
- 17.
- 18.
- 19.
Regarding the potential benefits of trading data see Lundqvist (2013), 79-81.
- 20.
Östman (2016), 1 et seq.
- 21.
Ibid.
- 22.
Lexinnova (2014), 3 et seq.
- 23.
Östman (2016), 1 et seq.
- 24.
Ibid.
- 25.
Cf. CEN and CENELEC (2016), 1 et seq.
- 26.
- 27.
‘With companies such as Amazon, Google and Microsoft providing machine learning algorithms as part of their cloud computing services, small companies find it increasingly more convenient to have their data processed and mined using external IT infrastructures. Indeed, Cisco forecasts that, by 2019, 86% of all business workload processing will be processed by cloud computing. But, as a greater number of companies become dependent on the infrastructures of a few providers, the latter get access to significant volumes and variety of data that allows them to improve further their own data analysis algorithms. If the trend continues, a competition problem may arise in the future, as new entrants may not be able to build sufficiently powerful IT infrastructures whose analytical software can compete with those of incumbents.’, OECD (2016). Autorité de la Concurrence and Bundeskartellamt (2016), 14.
- 28.
Cf. CEN and CENELEC (2016), 1 et seq.
- 29.
Ibid.
- 30.
For an explanation of patent thickets, see Shapiro (2001), 119.
- 31.
Cf. CEN and CENELEC (2016), 1 et seq.
- 32.
There are several news articles regarding for example the collaboration/license agreements between Microsoft and Facebook regarding the Microsoft Cloud. Also, users of the Microsoft Cloud need to obtain a license from Microsoft, available at: https://www.microsoft.com/en-us/Licensing/product-licensing/innovations-for-the-cloud.aspx.
- 33.
See for example Telecommunications and automotive players form global cross-industry 5G Automotive Association, 27 September 2016, available at: https://www.ericsson.com/en/news/2016/9/telecommunications-and-automotive-players-form-global-cross-industry-5g-automotive-association-
- 34.
- 35.
There are some rights connected to personal data in Articles 18-20 of the General Data Protection Regulation, such as the right to have data corrected, the ‘right to be forgotten’ and data portability. The latter right is limited, however, making it less attractive for consumers to change their social network. Cf. Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation), [2016] OJ L 119/1.
- 36.
See the interesting conference paper by Ciani (2018).
- 37.
Ibid.
- 38.
Sweden is one of few Member States that have a specific act for the protection trade secrets, while, for example, trade secrets in the UK and in Denmark have been protected under case law and the marketing law (unfair competition law), respectively. In Sweden, collections of customer data, e.g. addresses, have been protected under the Trade Secret Act.
- 39.
See Drexl / Hilty / Desaunettes / Greiner / Kim / Richter / Surblytė / Wiedemann (2016), 6 et seq.
- 40.
Ibid.
- 41.
Ibid.
- 42.
Surblytė (2016), 14 et seq. Cf. Article 20(4) and Recital 63 GDPR.
- 43.
Ibid.
- 44.
The Swedish Trade Council (2016), 1 et seq.
- 45.
Directive No. 96/9/EC of the European Parliament and of the Council, of 11 March 1996 on the legal protection of databases, [1996] OJ L 77/20.
- 46.
See ECJ, Verlag Esterbauer, C-490/14, ECLI:EU:C:2015:735, in reference to maps, where the ECJ states that geographical data presented in maps can be deemed to be ‘independent material’ within the meaning of Article 1(2) of the Database Directive, and it enjoys protection under the Database Directive.
- 47.
Cf. Art 18-20 GDPR. The rights to personal data should however be weighed against the other rights acknowledged by the Charter.
- 48.
In reference to the algorithms normally used to process data in databases. Drexl / Hilty / Desaunettes / Greiner / Kim / Richter / Surblytė / Wiedemann (2016), state: ‘[t]he Max Planck Institute for Innovation and Competition does not see any need to create special legal protection of algorithms used in data processing (e.g. in the context of big-data analysis)’ and continue: ‘concrete computer programs for processing data are already protected by copyright law of the Member States implementing Directive 2009/24/EC of 23 April 2009 on the legal protection of computer programs. Nevertheless, this protection covers neither the functionality of a computer program (judgment SAS Institute Inc., C-406/10, ECLI:EU:C:2012:259, paras 39-41) nor the underlying general algorithm (which is understood here as a set of rules to solve a problem step by step, independent of its expression and representation, e.g. the description of the steps to be made for analyzing or filtering data and the criteria to be applied). This is already implied by Recital 11 of the Directive, which clarifies that copyright protection for computer programs should not extend to the “ideas and principles which underlie any element of a program”.’ Some economists have suggested a property solution; cf. Hoofnagle / Whittington (2014), 606-670.
- 49.
Cf. CEN and CENELEC (2016), 3 et seq.
- 50.
See Ciani (2018).
- 51.
Hughes (2016), 1 et seq.
- 52.
ECJ, RTE and ITP / Commission, C-241/91 and C-242/91, ECLI:EU:C:1995:98.
- 53.
ECJ, IMS Health, C-418/01, ECLI:EU:C:2004:257.
- 54.
GC, Microsoft / Commission, T-201/04, ECLI:EU:T:2007:289.
- 55.
The Directive on the re-use of public sector information (Directive 2003/98/EC, known as the ‘PSI Directive’) entered into force on 31 December 2003, [2003] OJ L 345/90. It was revised by Directive 2013/37/EU which entered into force on 17 July 2013, [2013] OJ L 175/1.
- 56.
- 57.
In reference to PSBs, the issue has been whether they can be regarded as undertakings. Firstly, the data holder’s activities with the data need needs to be analyzed in order to establish whether the holder in an undertaking in reference to Article 102 TFEU. Is the activity under scrutiny an economic activity, i.e. a commercial activity, conducted on a market? This may only be established if the end market, where the undertaking is facing its ‘customers’, is scrutinized. Of course, when dealing with private entities such as Google and Facebook etc., establishing whether they are undertakings or not may not cause a concern. However, when dealing with PSBs, it may cause problems. See the Compass case, where, according to the CJEU, an activity consisting in the maintenance and making available to the public of the data collected, whether by a simple search or by means of the supply of print-outs, in accordance with the applicable national legislation, did not constitute an economic activity, since the maintenance of a database containing such data and making that data available to the public are activities which cannot be separated from the public sector activity of collecting data. ECJ, Compass-Datenbank, C-138/11, ECLI:EU:C:2012:449, discussed in Lundqvist (2013), 80 et seq.
- 58.
- 59.
- 60.
- 61.
Sokol / Comerford (2017).
- 62.
Article 29 Working Party (2016), p. 9: ‘[f]or example, a webmail service may allow the creation of a directory of a data subject’s contacts, friends, relatives, family and broader environment. Since these data are relating to, and are created by the identifiable individual that wishes to exercise his right to data portability, data controllers should transmit the entire directory of incoming and outgoing e-mails to the data subject’.
- 63.
ECJ, RTE and ITP/Commission, C-241/91 and C-242/91, ECLI:EU:C:1995:98.
- 64.
An argument frequently posed by the opponents of applying the essential-facilities doctrine is that data cannot be easily monopolized: it is non-rival and, they argue, non-exclusive, since there are no contracts preventing users from sharing their personal information with multiple companies. Furthermore, they argue that there are few entry barriers to new platforms, as data is relatively inexpensive to collect, short-lived and abundant. Balto / Lane (2016), 4 et seq.
- 65.
The Autorité de la Concurrence, France’s competition authority, imposed an interim measure on GDF, ordering that gas supplier to grant its competitors access to some of the data it collected as a provider of regulated offers, in particular consumption data. The aim of this interim measure was to allow all suppliers to have the same level of relevant information to make offers to consumers (no public information or private database exists on households subscribing to gas contracts). French Competition Authority, Decision 14-MC-02 of 09.09.2014. Due to privacy laws, the transmission of GDF data to competitors was conditional to an approval by consumers. A significant share of the consumers did refuse that their data be transferred from GDF to competing operators. The case is discussed in the joint report by the Autorité de la Concurrence and Bundeskartellamt (2016), 20.
- 66.
French Competition Authority, Decision n°13-D-20 of 17.12.2013, confirmed on that points by the court of appeal on 21.05.2015.
- 67.
A similar reasoning has also been used in some merger cases. For instance, in its EDF/Dalkia merger decision: European Commission, Case No. COMP/M. 7137 - EDF/Dalkia en France, 25 June 2014.
- 68.
French Competition Authority, Decision n° 14-D-06, dated 08.07.2014, relative à des pratiques mises en œuvre par la société Cegedim dans le secteur des bases de données d’informations médicales. This decision has been confirmed on appeal but is still pending in front of the Cour de Cassation (the French Supreme Court).
- 69.
ECN Brief (2014).
- 70.
Ibid.
- 71.
Platteau (2015), 1 et seq.
- 72.
- 73.
SCA, The Swedish Patent and Registration Office, Dnr 470/2011, from September 2012.
- 74.
SCA, The Swedish Land Registry, Dnr. 601/2011, from November 2012.
- 75.
Bundeskartellamt, Press release: Bundeskartellamt initiates proceeding against Facebook on suspicion of having abused its market power by infringing data protection rules, 2 March 2016. See also for instance, in Allianz Hungária, the ECJ held that the impairment of objectives pursued by another set of national rules could be taken into account to assess whether there was a restriction of competition (in this instance, by object). Referring to German Competition law, the German Federal Court of Justice has stated that contract terms which are incompatible with the laws regulating general conditions and terms of trade might be an abuse of a dominant position if the use of the terms is based on the company’s market dominance”. ECJ, Allianz Hungária Biztosító and others, C-32/11, ECLI:EU:C:2013:160. See also German Federal Court of Justice (Bundesgerichtshof), VBL-Gegenwert, KZR 61/11 16 November 2013, para. 68.
- 76.
Kerber (2016).
- 77.
EU Commission (1998), 5.
- 78.
Lundqvist (2011), 17.
- 79.
Janssen / Dumortier (2011), 195-195.
- 80.
French Competition Authority, Decision 14-MC-02 of 09.09.2014. The case is discussed in the joint report by the Autorité de la Concurrence and Bundeskartellamt (2016), 20.
- 81.
French Competition Authority, Decision n°13-D-20 of 17.12.2013, confirmed on that points by the Court of appeal on 21.05.2015.
- 82.
Regulation (EU) 2015/758 of the European Parliament and of the Council of 29 April 2015 concerning type-approval requirements for the deployment of the eCall in-vehicle system based on the 112 service and amending Directive 2007/46/EC, [2015] L 123/77.
- 83.
Ibid.
- 84.
An example of this development could be the ‘5G Automotive Association’, announced on 27 September 2016 by AUDI AG, BMW Group, Daimler AG, Ericsson, Huawei, Intel, Nokia and Qualcomm Incorporated. The association will develop, test and promote communications solutions, support standardization and accelerate commercial availability and global market penetration. The goal is to address society’s connected mobility and road-safety needs with applications such as connected automated driving, ubiquitous access to services and integration in smart cities and intelligent transportation; available at: https://www.ericsson.com/en/news/2016/9/telecommunications-and-automotive-players-form-global-cross-industry-5g-automotive-association-.
- 85.
See Directive (EU) 2015/2366 of the European Parliament and of the Council of 25 November 2015 on payment services in the internal market, amending Directives 2002/65/EC, 2009/110/EC and 2013/36/EU and Regulation (EU) No 1093/2010, and repealing Directive 2007/64/EC, [2015] OJ 337/35. Cf. Commission (2015).
- 86.
Bundeskartellamt (2016).
- 87.
ECJ, Asnef-Equifax, C-238/05, ECLI:EU:C:2006:734, para. 63.
- 88.
European Commission, Case No. COMP/M.7217,Facebook/WhatsApp, 3 October 2014, para. 164.
- 89.
Not alone of this opinion: Grunes / Stucke (2015), 2 et seq.
- 90.
Ezrachi / Stucke (2016).
References
Balto, D. / Lane, M. (2016), Monopolizing Water in a Tsunami: Finding Sensible Antitrust Rules for Big Data, available at: http://ssrn.com/abstract=2753249
Chisholm, A. / Jung, N. (2015), Platform Regulation— Ex-Ante versus Ex-Post intervention: evolving our antitrust tools and practices to meet the challenges of a digital economy. Competition Policy International. Vol. 11, No. 1, 7-21
Ciani, J. (2018), A Competition-Law-Oriented Look at the Application of Data Protection and IP Law to the Internet of Things: Towards a Wider ‘holistic approach’, in this volume
De Mauro, A. / Greco, M. / Grimaldi, M. (2016), A Formal Definition of Big Data Based on its Essential Features, Library Review, Vol. 65, No. 3, 122-135, available at: http://www.emeraldinsight.com/doi/pdfplus/10.1108/LR-06-2015-0061
Drexl, J. / Hilty, R. / Desaunettes, L. / Greiner, F. / Kim, D. / Richter, H. / Surblytė, G. / Wiedemann, K. (2016), Data Ownership and Access to Data Position Statement of the Max Planck Institute for Innovation and Competition, Max Planck Institute for Innovation and Competition Research Paper No. 16-10, 6, available at: http://www.ip.mpg.de/fileadmin/ipmpg/content/stellungnahmen/positionspaper-data-eng-2016_08_16-def.pdf
Drexl, J. (2015), The Competition Dimension of the European Regulation of Public Sector Information and the Concept of an Undertaking, in: J. Drexl / V. Bagnoli (Eds.), State-Initiated Restraints of Competition (ASCOLA competition law), 64-100, Edward Elgar
Evans, D. / Noel, M. (2008), The Analysis of Mergers that Involve Multisided Platform Businesses, Journal of Competition Law & Economics 4(3), 663-695
Filistrucchi, L. / Geradin, D. / v. Damme, E. / Affeldt, P. (2014), Market Definition in Two-Sided Markets: Theory and Practice, Journal of Competition, Law & Economics, Vol. 10, No. 2, 293-339
Ezrachi, A. / Stucke, M. (2016), Virtual Competition The Promise and Perils of the Algorithm-Driven Economy, Harvard University Press
Grunes, A. / Stucke, M. (2015), No Mistake About It: The Important Role of Antitrust in the Era of Big Data Antitrust Source Online; University of Tennessee Legal Studies Research Paper No. 269, available at: http://ssrn.com/abstract=2600051
Hoofnagle, C.J. / Whittington, J. (2014), Free: Accounting for the Costs of the Internet’s Most Popular Price, UCLA Law Review, Vol. 61, 606-670
Janssen, K. / Dumortier, J. (2011), Towards a European Framework for the Re-use of Public Sector Information: a Long and Winding Road, International Journal of Law and Information Technology 2, 195-195
Kerber, W. (2016), Digital Markets, Data, and Privacy: Competition Law, Consumer Law, and Data Protection with references, MAGKS, Joint Discussion Paper Series in Economics, No. 14-2016, available at: http://ssrn.com/abstract=2770479 or https://doi.org/10.2139/ssrn.2770479
Lexinnova (2014), Internet of Things: Patent Landscape Analysis, LexInnova Technologies, LLC
Lundqvist, B. / de Vries, M. / , Linklater, E. / Rajala Malmgren, L. (2011), Business Activity and Exclusive Right in the Swedish PSI Act, Report, Swedish Competition Authority, available at: http://www.konkurrensverket.se/globalassets/english/publications-and-decisions/business-activity-and-exclusive-right-in-the-swedish-psi-act.pdf
Lundqvist, B. (2013), Turning Government Data into Gold: The Interface Between EU Competition Law and the Public Sector Information Directive - With Some Comments on the Compass Case, International Review of Intellectual Property and Competition Law, Vol. 44, Nr. 1, 79-95
Newman, N. (2013), Search, Antitrust and the Economics of the Control of User Data with references, Yale Journal on Regulation, Vol. 30, No. 3, 2014, available at SSRN: http://ssrn.com/abstract=2309547 or https://doi.org/10.2139/ssrn.2309547
Petit, N. (2015), Theories of Self-Preferencing Under Article 102 TFEU: A Reply to Bo Vesterdorf, available at: https://ssrn.com/abstract=2592253 or https://doi.org/10.2139/ssrn.2592253
Platteau, K. (2015), National Lottery settles abuse of dominance case with Competition Authority, available at: http://www.internationallawoffice.com/Newsletters/Competition-Antitrust/Belgium/Simmons-Simmons/National-Lottery-settles-abuse-of-dominance-case-with-Competition-Authority
Shapiro, C. (2001), Navigating the Patent Thicket: Cross Licenses, Patent Pools and Standard Setting, in: A. Jaffe, J. Lerner, S. Stern (Eds.), Innovation Policy and the Economy (MIT Press), 119
Surblytė, G. (2016), Data Mobility at the Intersection of Data, Trade Secret Protection and the Mobility of Employees in the Digital Economy, 14 et seq., Max Planck Institute for Innovation & Competition Research Paper No. 16-03, available at: http://ssrn.com/abstract=2752989 or https://doi.org/10.2139/ssrn.2752989
Sokol, D. / Comerford, R. (2017), Does Antitrust Have a Role to Play in Regulating Big Data?, in: R. Blair and D. Sokol (Eds.), Cambridge Handbook of Antitrust, Intellectual Property and High Tech (Cambridge University Press), available at: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2723693
Stucke, M. / Grunes, A. (2016), Big Data and Competition Policy, Oxford University Press
Vesterdorf, B. (2015), Theories of Self-Preferencing and Duty to Deal – Two Sides of the Same Coin, 1(1) Competition Law & Policy Debate, 4
Zech, H. (2016), Information as a tradable commodity, in: A. De Franceschi (Ed.), European Contract Law and the Digital Single Market (Intercentia), 51-79
Additional Sources
Autorité de la Concurrence and Bundeskartellamt (2016), Competition Law and Data, available at: http://www.autoritedelaconcurrence.fr/doc/reportcompetitionlawanddatafinal.pdf
Bundeskartellamt (2016), Press release: Bundeskartellamt initiates proceeding against Facebook on suspicion of having abused its market power by infringing data protection rules, 2 March 2016, available at: http://www.bundeskartellamt.de/SharedDocs/Meldung/EN/Pressemitteilungen/2016/02_03_2016_Facebook.html?nn=3591568
CEN and CENELEC (2016), position paper on standard essential patents and fair, reasonable and non-discriminatory (FRAND) commitments, available at: http://www.cencenelec.eu/News/Policy_Opinions/PolicyOpinions/EssentialPatents.pdf
Commission Statement of Objections to Google on Android operating system and applications, European Commission, Press release (IP/16/1492), Antitrust: Commission sends Statement of Objections to Google on Android operating system and applications, 20 April 2016, available at: http://europa.eu/rapid/press-release_IP-16-1492_en.htm
ECN, ECN Brief 04/2014 (2014), available at: http://ec.europa.eu/competition/ecn/brief/04_2014/brief_04_2014.pdf
EU Commission (1998), Public Sector Information: A Key Resource for Europe, Green Paper on Public Sector Information in the Information Society, COM(1998) 585 final, 5
EU Commission (2015), A Digital Single Market Strategy for Europe, COM(2015) 192 final, available at: https://ec.europa.eu/digital-single-market/en/news/digital-single-market-strategy-europe-com2015-192-final
EU Commission (2016), Press Release, Statement of Objections to Google on Android operating system and applications, 20 April 2016, available at: http://europa.eu/rapid/press-release_IP-16-1492_en.htm
French Senate Report (2013), available at: http://www.senat.fr/rap/r12-443/r12-443.html
OECD (2015), Data-Driven Innovation - Big Data for Growth and Well-Being, available at: http://www.oecd.org/sti/ieconomy/data-driven-innovation.htm
Hughes, T. (2016), A world with more IoT standards bodies than IoT standard, available at: http://internetofthingsagenda.techtarget.com/blog/IoT-Agenda/A-world-with-more-IoT-standards-bodies-than-IoT-standards
OECD (2016), Big Data – Bringing Competition Policy to the Digital Era, available at: http://www.oecd.org/daf/competition/big-data-bringing-competition-policy-to-the-digital-era.htm
Östman, N. (2016), The IP of Things, LinkedIn available at: https://www.linkedin.com/pulse/ip-things-niklas-%C3%B6stman?trk=prof-post
The Swedish Trade Council (2016), Data flows – a fifth freedom for the internal market? Report, available at: https://www.kommers.se/Documents/dokumentarkiv/publikationer/2016/Data%20flows%20-%20A%20fifth%20freedom%20for%20the%20internal%20market.pdf
Working Party under Article 29 of Directive 95/46/EC (2016), Guidelines on the right to data portability in the GDPR, available at: http://ec.europa.eu/justice/data-protection/article-29/documentation/opinion-recommendation/files/2005/wp114_en.pdf
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer-Verlag GmbH Germany, part of Springer Nature
About this chapter
Cite this chapter
Lundqvist, B. (2018). Big Data, Open Data, Privacy Regulations, Intellectual Property and Competition Law in an Internet-of-Things World: The Issue of Accessing Data. In: Bakhoum, M., Conde Gallego, B., Mackenrodt, MO., Surblytė-Namavičienė, G. (eds) Personal Data in Competition, Consumer Protection and Intellectual Property Law. MPI Studies on Intellectual Property and Competition Law, vol 28. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-57646-5_8
Download citation
DOI: https://doi.org/10.1007/978-3-662-57646-5_8
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-57645-8
Online ISBN: 978-3-662-57646-5
eBook Packages: Law and CriminologyLaw and Criminology (R0)