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2021 | OriginalPaper | Buchkapitel

Data Flows versus Data Protection: Mapping Existing Reconciliation Models in Global Trade Law

verfasst von : Mira Burri

Erschienen in: Law and Economics of Regulation

Verlag: Springer International Publishing

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Abstract

With the increased role of data in societies, the interfaces between trade and privacy protection have become multiple and intensified, and raise important questions as to adequate regulatory design that can reconcile economic and non-economic concerns, national and international interests. This chapter is set against this complex backdrop and seeks to provide a better understanding and contextualization of the theme of data protection and its interfaces with global trade law. It addresses this task by looking first at the existing international, transnational, and selected national frameworks for privacy protection and briefly sketches their evolution over time. In a second step, the chapter explores the application of the rules of the World Trade Organization, which are still in a pre-internet state, to situations where privacy concerns are affected. The chapter then looks at the data-relevant rules that have emerged in free trade agreements with a focus on the reconciliation mechanisms that these treaties provide. The chapter concludes with an appraisal of the current state of affairs and some thoughts on the pros and cons of the available legal solutions for reconciling trade and privacy protection.

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Fußnoten
1
The General Agreement on Tariffs and Trade (GATT) 1947 makes no reference to privacy and most of the free trade agreements up to very recently make no mention of it.
 
2
See e.g. Jackson (1989); Jackson et al. (1995); Jackson (1998); Wolfrum et al. (2011), pp. 1–24.
 
3
See e.g. Kuner (2011); Aaronson (2015), pp. 672, 680–685.
 
4
OECD (1980).
 
5
OECD (2013).
 
6
See Manyika et al. (2011); Mayer-Schönberger and Cukier (2013); Cohen (2013); Richards and King (2014).
 
7
There are no clear definitions of small versus Big Data. Definitions vary and scholars seem to agree that the term of Big Data is generalized and slightly imprecise. One common identification of Big Data is through its characteristics of volume, velocity, and variety, also referred to as the “3-Vs”. Increasingly, experts add a fourth “V” that relates to the veracity or reliability of the underlying data. See Mayer-Schönberger and Cukier (2013), p. 13. For a brief introduction on Big Data applications and review of the literature, see Burri (2019).
 
8
The Economist (2017).
 
9
Among other arguments, see Burri (2019); for a full analysis, see Scholz (2019).
 
10
Manyika et al. (2011).
 
11
See e.g. Manyika et al. (2011); Mayer-Schönberger and Cukier (2013); Henke et al. (2016).
 
12
Irion and Williams (2019); The Royal Society (2017).
 
13
See e.g. Manyika et al. (2011); Henke et al. (2016); Bughin et al. (2016).
 
14
Ohm (2010); Schwartz and Solove (2011); Tene and Polonetsky (2013); The White House (2014); Gasser (2016); Bennett and Bayley (2016); Pan (2016); Council of Europe (2017).
 
15
The White House (2014), pp. 14–15; also Ohm (2010); Rubinstein (2013), p. 77.
 
16
Rubinstein (2013), p. 78.
 
17
Tene and Polonetsky (2013).
 
18
See Chander (2016), p. 2; also Chander and Lê (2015).
 
19
USITC (2013, 2014); For a country survey, see Chander and Lê (2015).
 
20
See Chander (2016), p. 2.
 
21
See e.g. Ferracane (2020); Taylor (2020).
 
22
“No one shall be subjected to arbitrary interference with his privacy, family, home or correspondence, nor to attacks upon his honour and reputation. Everyone has the right to the protection of the law against such interference or attacks”.
 
23
The text of Art. 17 is identical with Art. 12 UDHR but the two sentences are framed as separate paragraphs.
 
24
Diggelmann and Cleis (2014).
 
25
UN Office of the High Commissioner for Human Rights (1988), para. 10.
 
26
UN General Assembly (1990).
 
27
UN General Assembly (1990), para. 6.
 
28
Art. 8 “Right to respect for private and family life” reads: 1. Everyone has the right to respect for his private and family life, his home and his correspondence. 2. There shall be no interference by a public authority with the exercise of this right except such as is in accordance with the law and is necessary in a democratic society in the interests of national security, public safety or the economic well-being of the country, for the prevention of disorder or crime, for the protection of health or morals, or for the protection of the rights and freedoms of others.
 
29
For a comprehensive guide to the jurisprudence, see European Court of Human Rights (2019).
 
30
See e.g. European Union Agency for Fundamental Rights and Council of Europe (2018), pp. 15–16.
 
31
OECD (2011), p. 7.
 
32
OECD (1980).
 
33
OECD (1980).
 
34
OECD (2013).
 
35
OECD (2013).
 
36
APEC (2005).
 
37
The APEC framework endorses similar to the OECD Privacy Guidelienes principles: (1) preventing harm; (2) notice; (3) collection limitations; (4) use of personal information; (5) choice; (6) intergrity of personal information; (7) security safeguards; (8) access and correction; and (9) accountability. Greenleaf (2004), pp. 16–18.
 
39
Waters (2009), pp. 74–89.
 
40
Some scholars have argued that such soft law frameworks are nonetheless far-reaching, as their implemnetation depends on the power of reputational constraints as treaties do. See e.g. Brummer (2011), pp. 263–272.
 
41
Art. 8 ECHR.
 
42
Art. 8 “Protection of personal data” reads: 1. Everyone has the right to the protection of personal data concerning him or her; 2. Such data must be processed fairly for specified purposes and on the basis of the consent of the person concerned or some other legitimate basis laid down by law. Everyone has the right of access to data which has been collected concerning him or her, and the right to have it rectified; 3. Compliance with these rules shall be subject to control by an independent authority.
 
43
European Court of Human Rights (2003) Refah Partisi (The Welfare Party) and Others v. Turkey. App Nos. 41340/98, 41342/98, 41343/98 and 41344/98. Grand Chamber Judgment of 13 February 2003.
 
44
See Kuner (2012); also Lynskey (2015).
 
45
See e.g. Brown and Korff (2014).
 
46
Court of Justice of the European Union (2014) C-131/12.
 
47
Court of Justice of the European Union (2015) C-362/14, [hereinafter Schrems I].
 
48
Art. 5 GDPR specifies that personal data shall be processed lawfully, fairly and in a transparent manner in relation to the data subject (principle of lawfulness, fairness and transparency); collected for specified, explicit and legitimate purposes (principle of purpose limitation); processing must also be adequate, relevant and limited to what is necessary (principle of data minimization); as well as accurate and, where necessary, kept up to date (principle of accuracy); data is to be kept in a form which permits identification of data subjects for no longer than is necessary for the purposes for which the personal data are processed (principle of storage limitation); data processing must be secure (principle of integrity and confidentiality); and the data controller is to be held responsible (principle of accountability).
 
49
Art. 17 GDPR.
 
50
Art. 12 GDPR.
 
51
Arts 13, 14, 15 and 19 GDPR.
 
52
Art. 20 GDPR.
 
53
Arts 21 GDPR.
 
54
Art. 22 GDPR.
 
55
Art. 25 GDPR.
 
56
Depending on the infringement, data protection authorities can impose fines up to 20’000’000 EUR, or in the case of an undertaking, up to 4% of its total worldwide annual turnover of the preceding financial year, whichever is higher. See Art. 83(5) and (6) GDPR.
 
57
Art. 3(2) GDPR. Guidance to determine whether a controller or a processor is offering goods or services to EU data subjects is provided in Recital 23 GDPR, as well as in more detail by the EU data protection authority (see European Data Protection Board 2019).
 
58
See e.g. Schwartz (2013a); Tene and Wolf (2013); Burri and Schär (2016); Kuner (2016).
 
59
The adoption of an adequacy decision involves a proposal from the European Commission; an opinion of the European Data Protection Board; an approval from representatives of EU countries; and the adoption of the decision by the European Commission. At any time, the European Parliament and the Council may request the European Commission to maintain, amend or withdraw the adequacy decision on the grounds that its act exceeds the implementing powers provided for in the regulation.
 
60
Art. 45(1); Recital 103 GDPR.
 
61
Art. 45(2); Recital 104 GDPR.
 
62
Negotiations are ongoing with South Korea and many of the existing adequacy decisions are up to renewal.
 
63
European Commission (2019).
 
64
European Commission (2019), para. 175.
 
65
Art. 46(1) GDPR.
 
66
Drake (2017).
 
67
See e.g. Whitman (2004); Schwartz (2013b); Schwartz and Solove (2014).
 
68
Downes (2016).
 
69
Clarke et al. (2014), p. 158.
 
70
The White House (2019).
 
71
See e.g. Tourkochoriti (2016).
 
72
For a great overview of US privacy laws, see Deckelboim (2017).
 
73
Reidenberg (2000).
 
74
See e.g. Weiss and Archick (2016).
 
75
European Commission (2000).
 
76
See Farrell (2003); Schwartz and Solove (2014).
 
77
Schrems I, para. 97.
 
78
Schrems I, para. 86.
 
79
Schrems I, paras. 93–95.
 
80
Schrems I paras. 105–106.
 
81
European Commission (2016a). For an overview, see European Commission (2016b).
 
82
European Commission (2016a), paras. 19–29 refer to the Notice Principle, Data Integrity and Purpose Limitation Principle, Choice Principle, Security Principle, Access Principle, Recourse, Enforcement and Liability Principle, and Accountability for Onward Transfer Principle. The principles are additionally detailed in Annex II attached to the Commission’s implementing decision.
 
83
European Commission (2016a), para. 40.
 
84
European Commission (2016a), paras. 43–63.
 
85
European Commission (2016a), paras. 64−90.
 
86
European Commission (2016a), paras. 119−122. For a great analysis of the EU-US Privacy Shield, see Deckelboim (2017).
 
87
European Commission (2016a), at paras. 90 and 124 citing the Schrems I judgment.
 
88
Court of Justice of the European Union (2020) C-311/18.
 
89
Court of Justice of the European Union (2020) C-311/18, para. 164.
 
90
Court of Justice of the European Union (2020) C-311/18, paras. 168–185.
 
91
Court of Justice of the European Union (2020) C-311/18, paras. 191–192.
 
92
Court of Justice of the European Union (2020) C-311/18, paras. 193–197.
 
93
Burri (2015); WTO (2018).
 
94
Art. XIV(b) GATS.
 
95
Art. XIV(a) GATS. See Wu (2008); Delimatsis (2010).
 
96
Art. XIV(c) GATS. For a commentary of Art. XIV GATS, see Cottier et al. (2008).
 
97
Art. XIV(c)(ii) GATS.
 
98
For a fully-fledged analysis of how this may be occur, see Weber (2012); Irion et al. (2016), pp. 27−33.
 
99
WTO Appellate Body (2005) [hereinafter US – Gambling], at para. 292; see also WTO Appellate Body (2007), paras. 119–124.
 
100
WTO Appellate Body (2000) [hereinafter Korea – Beef], para. 161.
 
101
US – Gambling, para. 6.536; see also WTO Appellate Body (2015); WTO Panel (2015) [hereinafter Argentina – Financial Services], paras 7.655, 7.685, 7.727, referring to Korea – Beef, paras. 162, 163.
 
102
Korea – Beef, para. 49 (citing WTO Appellate Body (1996), para. 19 and WTO Appellate Body (1998), para. 141).
 
103
See US – Gambling, para. 78; WTO Appellate Body (2009) [hereinafter China – Publications and Audiovisual Products], para. 239.
 
104
US – Gambling, para. 306; Argentina – Financial Services, para. 7.684.
 
105
Argentina – Financial Services, para. 7.729 referring to US – Gambling, para. 308.
 
106
Argentina – Financial Services, para. 7.743.
 
107
US – Gambling, para. 351. In US – Gambling, the Appellate Body confirmed that the US ban on online gambling did not meet the requirement of the chapeau of Art. XIV GATS due to ambiguity in relation to the scope of one US statute, which appeared to permit domestic suppliers to have remote betting services for horse racing.
 
108
Only one case has so far passed all the tests. See WTO Appellate Body (2001); also Howse (2002).
 
109
Irion et al. (2016), pp. 36−39; also MacDonald and Streatfeild (2014), pp. 640−650.
 
110
European Commission (2000).
 
111
Bygrave (2014); Rotenberg (2016).
 
112
Irion et al. (2016), pp. 36−39.
 
113
For instance, the recent Digital Economy Partnership Agreement (DEPA) between Chile, Singapore and New Zealand.
 
114
Wunsch-Vincent (2003).
 
115
The DR-CAFTA includes Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua and the Dominican Republic.
 
116
This analysis is based on a dataset of all data-relevant norms in trade agreements (TAPED). See Burri and Polanco (2020) and http://​unilu.​ch/​taped.
 
117
See in this sense Burri (2017); Casalini and López González (2019).
 
118
See e.g. Casalini and López González (2019); OECD (2019a).
 
119
As the OECD (OECD (2019a), p. 1) further clarifies: “the actual flow of data reflects individual firm choices: accessing the OECD library from Paris, for instance, actually means contacting a server in the United States (the OECD uses a US-based company for its web services). Moreover, with the cloud, data can live in many places at once, with files and copies residing in servers around the world”.
 
120
For instance, Sen classifies data into personal data referring to data related to individuals; company data referring to data flowing between corporations; business data referring to digitised content such as software and audiovisual content; and social data referring to behavioural patterns determined using personal data (see Sen (2018), pp. 343–346). Aaronson and Leblond categorize data into personal data, public data, confidential business data, machine-to-machine data and metadata, although they do not specifically define each of these terms (see Aaronson and Leblond (2018)). The OECD has also tried to break data into different categories. See OECD (2019b).
 
121
This chapter does not cover specific services sectors. For a more detailed analysis, see e.g. Burri (2020a).
 
122
A similar wording is used in the 2008 Canada-Peru FTA, 2010 Hong-Kong-New Zealand FTA, the 2011 Korea-Peru FTA, the 2011 Central America-Mexico FTA, the 2013 Colombia-Costa Rica FTA, the 2013 Canada-Honduras FTA, the 2014 Canada-Korea FTA, and the 2015 Japan-Mongolia FTA. The 2007 South Korea-US FTA was the first agreement with more concrete language on data flows, albeit in a soft law form (Korea-US FTA, Art. 15.8).
 
123
The Trans-Pacific Partnership Agreement, full text available at: https://​ustr.​gov/​trade-agreements/​free-trade-agreements/​trans-pacific-partnership/​tpp-full-text [hereinafter TPP].
 
124
Australia, Brunei, Canada, Chile, Japan, Malaysia, Mexico, New Zealand, Peru, Singapore and Vietnam.
 
125
See e.g. Ravenhill (2017).
 
127
For a fully fledged analysis, see Burri (2017); also Burri (2020b).
 
128
Art. 14.11(2) CPTPP.
 
129
Art. 14.11(3) CPTPP.
 
130
Art. 14.11(3) CPTPP.
 
131
See the definition of “a covered person” in Art. 14.1, which is said to exclude a “financial institution” and a “cross-border financial service supplier”.
 
132
The provision reads: “Each Party shall allow a financial institution of another Party to transfer information in electronic or other form, into and out of its territory, for data processing if such processing is required in the institution’s ordinary course of business”.
 
133
Art. 14.8(3) CPTPP.
 
134
Art. 19.11(2) CPTPP.
 
135
Art. 19.11(2) CPTPP, footnote 5.
 
136
Art. 8.81 EU-Japan EPA.
 
137
See European Commission (2018).
 
138
Art. II Jordan-US Joint Statement on Electronic Commerce.
 
139
See e.g., Art. 10.8.5 and Art. 10.15(b) Brazil-Chile FTA; Art. 13.7(b) Canada-Korea FTA; Art. 13.10.2 Australia-Japan FTA; Art. 12.5(b) Chile-Colombia FTA; Art. 14.05(b) Nicaragua-Taiwan FTA; Art. 13.4(b) Panama-Singapore FTA; Art. 14.5(b) CAFTA-DR-US; Art. 15.5(b) Chile-US FTA.
 
140
Art. 13.3.1(b)(i) Australia-Indonesia FTA; Art. 19.14.1(a)(i) USMCA; Art. 13.14(b)(i) Australia-Peru FTA; Art. 9.12(c)(i) Singapore-Sri Lanka FTA; Art. 9.9(c) Singapore-Turkey FTA; Art. 13.5 China-Korea FTA; Art. 16.6.2 Colombia-Costa Rica FTA; Art. 1506.2 Canada-Colombia FTA.
 
141
Art. 30 Chile-EC AA.
 
142
Art. 10.8.1(b) Korea-Vietnam FTA.
 
143
Art. 30 Chile-EC AA.
 
144
Art. 13.7.1 Australia-Indonesia FTA; Art. 10.2.5(f) and Art. 10.8.1 Brazil-Chile FTA; Art. 8.78.3 EU-Japan EPA; Art. 14.5.1 Central America-Korea FTA; Art. 16.2.2(e) Canada-Honduras FTA.
 
145
Art. 14.8(2) CPTPP.
 
146
Art. 14.8(2) CPTPP, footnote 6.
 
147
Art. 14.8(5) CPTPP.
 
148
Art. 19.8(2) USMCA.
 
149
Art. 19.8(3) USMCA.
 
150
Art.19.8(4) and (5) USMCA.
 
151
See Bradford (2020a); Bradford (2020b).
 
152
For a great analysis, see Chander et al. (2019).
 
153
Chapter 6, Arts 61-65 Cameroon-EC Interim EPA; Chapter 6, Arts 197-201 CARIFORUM-EC EPA. Other agreements merely recognize principles for the collection, processing and storage of personal data such as: prior consent, legitimacy, purpose, proportionality, quality, safety, responsibility and information, but without developing this in detail: Art. 11.2.5(f) Argentina-Chile FTA, footnote 1; Art. 8.2.5(f) Chile-Uruguay FTA, footnote 3.
 
154
Art. 8.54.2 EC-Singapore FTA; Understanding 3 Additional Customs-Related Provisions, Arts 9.2 and 11.1; Art. 10 of Protocol on Mutual Administrative Assistance on Custom Matters EC-Ghana EPA; Art. 10.2 of Protocol 5 on Mutual Administrative Assistance on Custom Matters Bosnia and Herzegovina-EC SAA; Art. 45 and Protocol No 7 Algeria EC Euro-Med Association Agreement.
 
155
WTO (2019).
 
156
See European Commission (2018).
 
157
European Commission (2018) (emphases added).
 
158
Yakovleva (2020) p. 496.
 
159
Yakovleva (2020).
 
160
Mattoo and Meltzer (2018).
 
161
See e.g. Willemyns (2020); Burri (2021).
 
162
Bollyky and Mavroidis (2017), pp. 11–13 (Bollyky and Mavroidis discuss the need for regulatory competition in the context of global value chains; their argument is only strengthened in the domain of digital trade); also Ahmed (2019), pp. 99–120.
 
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Metadaten
Titel
Data Flows versus Data Protection: Mapping Existing Reconciliation Models in Global Trade Law
verfasst von
Mira Burri
Copyright-Jahr
2021
DOI
https://doi.org/10.1007/978-3-030-70530-5_7