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    <front>
        <journal-meta>
            <journal-id journal-id-type="publisher-id">rdp</journal-id>
            <journal-title-group>
                <journal-title>Revista Direito Público</journal-title>
                <abbrev-journal-title abbrev-type="publisher">Rev. Dir. Publico</abbrev-journal-title>
            </journal-title-group>
            <issn pub-type="epub">2236-1766</issn>
            <publisher>
                <publisher-name>Instituto Brasileiro de Ensino, Desenvolvimento e Pesquisa</publisher-name>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.11117/rdp.v21i111.7589</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Artigos Originais</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>GAME THEORY APPLIED TO THE BRAZILIAN ANTITRUST LENIENCY PROGRAM</article-title>
                <trans-title-group xml:lang="pt">
                    <trans-title>TEORIA DOS JOGOS APLICADA AO PROGRAMA DE LENIÊNCIA ANTITRUSTE BRASILEIRO</trans-title>
                </trans-title-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <contrib-id contrib-id-type="orcid">0000-0001-7104-8106</contrib-id>
                    <name>
                        <surname>SABINO</surname>
                        <given-names>DOUGLAS MATIAS</given-names>
                    </name>
                    <bio>
                        <p>Master’s student in Law from UFMG. Postgraduate in Financial and Tax Law from UERJ (2023). Bachelor of Laws from University Center of Viçosa (2021). Researcher of the Research and Extension Program in Sustainable Development and the Research Group in Economic Law (GPDE/UFMG).</p>
                    </bio>
                    <xref ref-type="aff" rid="aff01"/>
                    <xref ref-type="corresp" rid="c01"/>
                </contrib>
                <contrib contrib-type="author">
                    <contrib-id contrib-id-type="orcid">0000-0002-7260-7659</contrib-id>
                    <name>
                        <surname>LARA</surname>
                        <given-names>FABIANO TEODORO DE REZENDE</given-names>
                    </name>
                    <bio>
                        <p>PhD in Law from UFMG (2008). Master in Law from UFMG (2001). Bachelor of Laws from UFMG (1996) and Bachelor of Social Communication from PUC-MG (1996). Associate Professor of Economic Law at the Law School of UFMG (Undergraduate, Master’s and Doctorate). Visiting Professor at the Facoltà di Giurisprudenza dell’Università degli Studi di Trento (2018). Member of the Institute of Lawyers of Minas Gerais (IAMG). Member of TJD-MG. Member of the Arbitration Committee of OAB/MG. Coordinator of the Research Group on Economic Law (GPDE/UFMG).</p>
                    </bio>
                    <xref ref-type="aff" rid="aff02"/>
                    <xref ref-type="corresp" rid="c02"/>
                </contrib>
                <contrib contrib-type="author">
                    <contrib-id contrib-id-type="orcid">0009-0003-8384-0581</contrib-id>
                    <name>
                        <surname>SARTO</surname>
                        <given-names>ELISA SANTOS COELHO</given-names>
                    </name>
                    <bio>
                        <p>PhD student in Law at UFMG. Master in Economic Law from UFMG (2020). Bachelor of Laws from UFMG (2017) and Bachelor of Economics from PUC-MG (2017). Researcher of the Research and Extension Program in Sustainable Development and the Research Group in Economic Law (GPDE/UFMG), both from UFMG.</p>
                    </bio>
                    <xref ref-type="aff" rid="aff01"/>
                    <xref ref-type="corresp" rid="c03"/>
                </contrib>
            </contrib-group>
            <aff id="aff01">
                <label>1</label>
                <institution content-type="orgname">Universidade Federal de Minas Gerais</institution>
                <institution content-type="orgdiv1">Programa de Pós Graduação Stricto Sensu em Direito</institution>
                <addr-line>
                    <named-content content-type="city">Belo Horizonte</named-content>
                    <named-content content-type="state">Minas Gerais</named-content>
                </addr-line>
                <country country="BR">Brasil</country>
                <institution content-type="original">Universidade Federal de Minas Gerais. (UFMG). Programa de Pós Graduação Stricto Sensu em Direito. Belo Horizonte (Minas Gerais). Brasil.</institution>
            </aff>
            <aff id="aff02">
                <label>2</label>
                <institution content-type="orgname">Universidade Federal de Minas Gerais</institution>
                <institution content-type="orgdiv1">Programa de Pós Graduação Stricto Sensu em Direito</institution>
                <institution content-type="orgdiv2">Departamento de Direito Econômico</institution>
                <addr-line>
                    <named-content content-type="city">Belo Horizonte</named-content>
                    <named-content content-type="state">Minas Gerais</named-content>
                </addr-line>
                <country country="BR">Brasil</country>
                <institution content-type="original">Universidade Federal de Minas Gerais. (UFMG). Programa de Pós Graduação Stricto Sensu em Direito. Departamento de Direito Econômico. Belo Horizonte (Minas Gerais). Brasil.</institution>
            </aff>
            <author-notes>
                <corresp id="c01">E-mail: <email>douglas.matias.sabino@gmail.com</email></corresp>
                <corresp id="c02">E-mail: <email>fabianotrl@ufmg.br</email></corresp>
                <corresp id="c03">E-mail: <email>elisasarto@hotmail.com</email></corresp>
                <fn fn-type="edited-by">
                    <label>Corpo Editorial:</label>
                    <p>Editora- Adjunta: L.S.G</p>
                    <p>Pareceristas: 2</p>
                </fn>
            </author-notes>
            <pub-date publication-format="electronic" date-type="pub">
                <day>0</day>
                <month>0</month>
                <year>2024</year>
            </pub-date>
            <pub-date publication-format="electronic" date-type="collection">
                <season>Aug-Oct</season>
                <year>2024</year>
            </pub-date>
            <volume>21</volume>
            <issue>111</issue>
            <fpage>330</fpage>
            <lpage>357</lpage>
            <history>
                <date date-type="received">
                    <day>26</day>
                    <month>11</month>
                    <year>2023</year>
                </date>
                <date date-type="rev-recd">
                    <day>05</day>
                    <month>04</month>
                    <year>2024</year>
                </date>
                <date date-type="rev-recd">
                    <day>15</day>
                    <month>04</month>
                    <year>2024</year>
                </date>
                <date date-type="rev-recd">
                    <day>31</day>
                    <month>05</month>
                    <year>2024</year>
                </date>
                <date date-type="rev-recd">
                    <day>10</day>
                    <month>06</month>
                    <year>2024</year>
                </date>
                <date date-type="rev-recd">
                    <day>26</day>
                    <month>09</month>
                    <year>2024</year>
                </date>
                <date date-type="accepted">
                    <day>30</day>
                    <month>09</month>
                    <year>2024</year>
                </date>
            </history>
            <permissions>
                <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc/4.0/" xml:lang="en">
                    <license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License which permits unrestricted non-commercial use, distribution, and reproduction in any medium provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <abstract>
                <title>ABSTRACT</title>
                <p>The Brazilian Antitrust Law established the Administrative Council for Economic Defence (CADE) as the body responsible for investigating and imposing sanctions for acts that violate the economic order, as well as for supervising acts of economic concentration. The field of game theory is concerned with the actions of decision-makers who are aware that their decisions affect one another. The objective of the proposed article is to analyse the legal framework of the Leniency Programme implemented by Brazil’s Administrative Council for Economic Defence (CADE) using the tools provided by game theory, in particular sequential games with perfect information. The methodology employed is classified as theoretical research, utilising the deductive method with the objective of enhancing the proposed theme. In order to achieve this, two game models will be developed. Initially, it was observed that the benefits offered by the current Brazilian leniency programme are insufficient to persuade a potential cartel member to propose a leniency agreement. Conversely, in a second step, the introduction of immunity for applicants from civil damages caused by the cartel resulted in the conclusion that the Brazilian antitrust leniency programme becomes an important tool for deterring and combating cartels.</p>
            </abstract>
            <trans-abstract xml:lang="pt">
                <title>RESUMO</title>
                <p>A Lei Antitruste brasileira estabeleceu ao Conselho Administrativo de Defesa Econômica (CADE) responsabilidades na investigação e aplicação de sanções por atos que violem a ordem econômica e na fiscalização de atos de concentração econômica. A teoria dos jogos concentra-se nas ações dos tomadores de decisão que estão cientes de que suas decisões afetam uns aos outros. O artigo proposto tem como objetivo analisar o arcabouço legal do Programa de Leniência implementado pelo Conselho Administrativo de Defesa Econômica do Brasil (CADE), com as ferramentas fornecidas pela teoria dos jogos, em especial, jogos sequenciais com informação perfeita. A metodologia utilizada é classificada como uma pesquisa teórica, utilizando-se do método dedutivo com vistas ao aprimoramento do tema proposto. Para tanto, serão elaborados dois modelos de jogo, em um primeiro momento, observou-se que os benefícios oportunizados pelo atual programa de leniência brasileiro não são suficientes para que uma potencial empresa participante de um cartel decida propor o acordo de leniência. De outra forma, em um segundo momento, ao introduzirmos a concessão de da imunidade ao requerente, quanto aos danos civis causados pela prática do cartel, observou-se que com o acréscimo desse benefício, o programa de leniência antitruste brasileiro torna-se uma importante ferramenta de dissuasão e combate a prática de cartéis.</p>
            </trans-abstract>
            <kwd-group xml:lang="en">
                <title>KEYWORDS</title>
                <kwd>Antitrust Law</kwd>
                <kwd>Cartel</kwd>
                <kwd>Game theory</kwd>
                <kwd>Leniency</kwd>
                <kwd>Sequential games</kwd>
            </kwd-group>
            <kwd-group xml:lang="pt">
                <title>PALAVRAS-CHAVE</title>
                <kwd>Cartel</kwd>
                <kwd>Direito Antitruste</kwd>
                <kwd>Jogos sequenciais</kwd>
                <kwd>Leniência</kwd>
                <kwd>Teoria dos Jogos</kwd>
            </kwd-group>
            <counts>
                <fig-count count="5"/>
                <table-count count="0"/>
                <equation-count count="3"/>
                <ref-count count="28"/>
            </counts>
        </article-meta>
    </front>
    <body>
        <sec sec-type="intro">
            <title>INTRODUCTION</title>
            <p>The Brazilian antitrust authority’s Leniency Program dates back to the leniency benefit introduced by <xref ref-type="bibr" rid="B07">Law No. 10.149/2000</xref>, which amended Law No. 8.884/94, known as the former Competition Law. In its current form, the program is set out in articles 86 and 87 of Law No. 12.529/11, also known as the current Competition Law.</p>
            <p>The main objective of the leniency program of the Administrative Council for Economic Defence (CADE) is to detect and punish violations of the economic order, while the other objectives are to guide companies and individuals on their rights under articles 86 and 87 of Law No. 12,529/11 and to guide, encourage and assist applicants to enter into leniency agreements (<xref ref-type="bibr" rid="B12">CADE, 2019</xref>, p. 56–57).</p>
            <p>In this context, the proposed paper aims to examine the leniency program implemented by CADE, the Brazilian antitrust authority, considering the principles and approaches of Game Theory. Two models of sequential games of perfect information will be developed in order to compare any differences between them.</p>
            <p>The first game consists of two players: The Applicant, who decides whether or not to propose the Leniency Agreement, and CADE, which, once the Applicant has decided to propose the Leniency Agreement, decides whether or not to accept the proposed agreement. Furthermore, the applicant is shown the probability <italic>p</italic> of being detected and the probability (1-<italic>p</italic>) of not being detected by CADE. In the second round, the Applicant and CADE remain the same two players, except that in this second game, the Applicant’s reward equation is modified by the inclusion of the immunity from civil damages caused by the cartel if CADE decides to accept the Leniency Agreement.</p>
            <p>The purpose of the modelled games is to verify whether the set of incentives and benefits made possible by the Brazilian leniency program can be seen as a tool for persuading potential bidders to participate in a cartel, considering the methodology used.</p>
            <p>The second section of the paper presents the methodology that was employed in its preparation. The third section presents a literature overview, with theoretical studies on leniency policies. The fourth section shows how CADE’s leniency program works, taking into account its procedure and objectives. The five section briefly discusses the concept of sequential games of perfect information, as well as some characteristics of the study carried out by Cristopher Leslie in his article <italic>“Antitrust Amnesty, Game Theory, and Cartel Stability</italic>” (<xref ref-type="bibr" rid="B17">LESLIE, 2006</xref>).In the fifth section game of CADE’s leniency programme will be modelled, and the game will be reformulated with the insertion of new variables. Finally, the results and conclusions of this study will be presented.</p>
        </sec>
        <sec sec-type="methods">
            <title>2. METHODOLOGY</title>
            <p>The research problem of this study is to find out whether the current leniency programme of the Administrative Council for Economic Defence (CADE) has the necessary tools to dismantle existing cartels that have not yet been detected, as well as to combat and punish detected cartels once a leniency agreement has been signed and subsequently ratified.</p>
            <p>For most competition jurisdictions with effective antitrust enforcement, cartels are the most serious form of anti-competitive behaviour. Moreover, the harmful effects of cartels on the economy are a common factor in national and international antitrust experience. In this sense, an analysis of the existing tools in the Brazilian antitrust leniency programme, as well as their suitability and effectiveness in combating cartels, is a necessary step.</p>
            <p>This paper is based on theoretical research. Firstly, a descriptive approach was taken to the subject, identifying the factual and legal reality to be analysed. In the first part, a theoretical approach was taken to the studies carried out on the leniency programme and its deterrent effect on cartels.</p>
            <p>In the second part, the Brazilian antitrust leniency programme is presented and its regulatory structure is discussed. In addition, the concept of game theory and its application to law, especially antitrust law, will be presented.</p>
            <p>Thirdly, a theoretical model of a sequential game with perfect information is developed in the light of Game Theory and adapted to the context of the Brazilian Antitrust Authority’s leniency programme. Finally, the results of the proposed game model are presented.</p>
            <p>The deductive method will be used as an approach to observe the existing studies on the Leniency Programme applied to the dismantling of cartels in the competitive sphere(<xref ref-type="bibr" rid="B16">LAKATOS; MARCONI, 2003</xref>, p. 92).</p>
            <p>The aim of the research is to improve ideas on the proposed topic and is therefore characterised by its exploratory nature(<xref ref-type="bibr" rid="B13">GIL, 2002</xref>, p. 41).</p>
            <p>In terms of data collection, the paper is characterised as documentary research. In addition, the data collected is secondary, as it has been extracted from books, journal papers and legislation(<xref ref-type="bibr" rid="B14">GUSTIN; DIAS, 2006</xref>, p. 39).</p>
        </sec>
        <sec>
            <title>3. THEORETICAL STUDIES ON LENIENCY POLICIES</title>
            <p>The groundbreaking study conducted by Motta and Polo (<xref ref-type="bibr" rid="B21">MOTTA; POLO, 2003</xref>) was the first to investigate the effects of leniency on cartels. Their dynamic analytical approach centred on leniency programs during the prosecution phase and the distribution of budgetary resources by a competition authority. However, this study failed to consider the preventive impact of self-reporting, which would bring the analysis more in line with current literature on optimal enforcement of the law.</p>
            <p>In the case of civil damages and Leniency, Spagnolo and Marvão note that there is a conflict between public and private antitrust enforcement. The study suggest that the attractiveness of leniency programs for cartel members may be diminished by damages actions if cooperation with the competition authority increases the likelihood of successful litigation by cartel victims (<xref ref-type="bibr" rid="B20">MARVÃO; SPAGNOLO, 2018</xref>, p. 67).</p>
            <p>Buccirossi <italic>et al</italic> (<xref ref-type="bibr" rid="B10">BUCCIROSSI; MARVÃO; SPAGNOLO, 2020</xref>, p. 377) have developed a theoretical model that evaluates the deterrent effect of leniency in different scenarios based on the EU Damages Directive. Their conclusion on the issue of damages rejects the existence of a public-private conflict for EU and USA antitrust enforcement. Additionally, the authors propose a legal structure that lessens or potentially abolishes the responsibilities of leniency applicants. Additionally, it is recommended to grant claimants in future compensatory actions unrestricted access to comprehensive documentation related to leniency.</p>
            <p>In similar vein, Silbye (<xref ref-type="bibr" rid="B26">SILBYE, 2012</xref>, p. 699) suggests that one potential solution to mitigate pro-collusion effects is to either fully exempt the applicant from private damages actions or to allow the leniency program to reward whistleblowers.</p>
            <p>The complexity of whether leniency agreements are appealing in cases where companies are accountable for private harm caused by anti-competitive practices, like cartels, is a challenging issue. Significant third-party claims could lead companies to be disinclined to propose leniency agreements as cooperation may not significantly reduce their exposure to private damages (<xref ref-type="bibr" rid="B04">BODNAR et al., 2023</xref>, p. 7). This could potentially stabilize cartels, as companies may be hesitant to join if they believe leniency agreements do not adequately protect them from private harm claims. Balancing the incentives for cooperation and compensating private damages is a crucial consideration for formulating antitrust policies. Hence, comprehending the interplay between leniency agreements and private damages claims is crucial in effectively addressing anticompetitive actions.</p>
            <p>In another way, leniency programs can have a stabilizing effect on cartels that survive (<xref ref-type="bibr" rid="B03">BIGONI et al., 2012</xref>, p. 390). When a company involved in a cartel requests leniency and cooperates with authorities, they can offer valuable information that helps identify other members of the cartel. Although this could lead to a decline in the number of active cartels, those that remain may increase their prices due to a decrease in internal competition.</p>
        </sec>
        <sec>
            <title>4. THE BRAZILIAN LENIENCY PROGRAM</title>
            <p>In the Brazilian competition sphere, the benefit of Leniency was incorporated by <xref ref-type="bibr" rid="B11">Law No. 10.149/2000</xref> (<xref ref-type="bibr" rid="B07">BRASIL, 2000</xref>) which amended <xref ref-type="bibr" rid="B06">Law No. 8.884/94</xref> (<xref ref-type="bibr" rid="B06">BRASIL, 1994</xref>), the former Competition Defence Law, with the insertion of articles 35-B and C. It should be noted that this benefit was regulated by Resolutions No. 04/06 and 465/2010, both from the Ministry of Justice.</p>
            <p>Currently, CADE’s Leniency Program is governed by Chapter VII, specifically Articles 86 and 87 of Law No. 12.529/11, the Competition Defence Law, published on November 30, 2011, which came into force on May 29th, 2012.</p>
            <p>CADE’s Internal Regulations set out the objectives of its Leniency Program, such as:</p>
            <p><disp-quote>
                    <p>I - detect, investigate and punish infractions against the economic order; II - permanently inform and guide companies and citizens in general about the rights and guarantees provided for in articles 86 and 87 of Law No. 12,529 of 2011; and III - encourage, guide and assist applicants to enter into leniency agreements.</p>
                    <attrib>(<xref ref-type="bibr" rid="B12">CADE, 2019</xref>, p. 56–57).</attrib>
                </disp-quote></p>
            <p>The Leniency Program in question allows agents involved in violations of the economic order, after signing a Leniency Agreement with CADE and its subsequent approval, to obtain benefits, both in CADE’s administrative sphere and in the criminal sphere. Furthermore, the entire process of negotiating the leniency agreement, from its proposal to its ratification, is confidential.</p>
            <p>CADE’s current leniency program is also available to the alleged leader of the cartel, unlike the leniency agreement provided for in Law 8884/94.</p>
            <p>This program is coordinated by CADE’s General Superintendence, which is responsible for negotiating and signing the Leniency Agreement (<xref ref-type="bibr" rid="B11">CADE, 2016</xref>, p. 18). Similarly, in accordance with article 86, paragraph 4 of Law No. 12.529/11, the CADE Court is the body responsible for decreeing compliance with the terms of the agreement signed, at the time when the respective administrative process will be judged (<xref ref-type="bibr" rid="B08">BRASIL, 2011</xref>).</p>
            <p>The Leniency Agreement within the scope of CADE is applicable to the sanctions described in article 36 of Law No. 12.529/11, however, generally, the proponents of Leniency Agreements are agents who carry out the practice of Cartel, disciplined in article 36, §3, item I and subparagraphs of Law No. 12.529/11(<xref ref-type="bibr" rid="B08">BRASIL, 2011</xref>).</p>
            <p>It should be noted that the Leniency Agreement signed within the scope of CADE is applicable to violations of the economic order determined in Law No. 8,137/90, which defines crimes against the tax and economic order and against consumer relations, and to crimes related to the practice of cartels typified in Law No. 8,666/93, known as the old bidding law, as well as the infraction typified in article 288 of the Penal Code.</p>
            <p>Furthermore, the leniency agreement signed by CADE suspends the statute of limitations and prevents the filing of charges against the agent who benefits from the agreement (<xref ref-type="bibr" rid="B18">LUZ; SPAGNOLO, 2017</xref>, p. 12).</p>
            <p>However, in the competitive sphere, the Brazilian Competition Law does not exclude the possibility of the signatory of the leniency agreement being held liable for competitive damages in public or private civil actions, nor does it impose an obligation to directly compensate injured consumers as a condition for entering into the agreement.</p>
            <p>However, as a result of the publication of Law No. 14.470/22 (<xref ref-type="bibr" rid="B09">BRASIL, 2022</xref>) which amends the Competition Defence Law, those who have suffered losses due to violations of the economic order set out in article 36, paragraph 3, I and II of the Competition Defence Law have the right to double compensation for the damages experienced, in accordance with article 47, paragraph 1 of Law No. 12.529/11 (<xref ref-type="bibr" rid="B08">BRASIL, 2011</xref>).</p>
            <p>On the other hand, in the case of signatories to leniency agreements or cease-and-desist agreements, this paragraph does not apply. In addition, the co-authors of the cartel practice and of the influence of uniform conduct who are signatories to leniency agreements or cease-and-desist agreements are only liable for the damages actually caused, while they are not jointly and severally liable for the damages caused by the other agents of the violation of the economic order, in accordance with article 47, § 2 and § 3 of the Brazilian Antitrust Law (<xref ref-type="bibr" rid="B08">BRASIL, 2011</xref>).</p>
            <p>In this way, the signatory of the Leniency Agreement may be subject to possible legal action seeking compensation for damages caused by the anti-competitive conduct, either through actions brought by the Public Prosecutor’s Office in the public interest, through public civil action, or through private actions brought by the affected consumers themselves(<xref ref-type="bibr" rid="B28">TEREPINS; GOULART, 2024</xref>).</p>
            <p>Article 86, I and II of the Competition Law states that CADE’s leniency program covers both legal entities and individuals involved in violations of the economic order. In addition, the party proposing the agreement must cooperate fully with the antitrust authority, either by identifying all others involved in the wrongdoing, or by cooperating in the collection of information and documents that prove the infraction presented or investigated(<xref ref-type="bibr" rid="B08">BRASIL, 2011</xref>).</p>
            <p>The legislative change introduced by Law 14.470/22 may prove to be another factor in deterring cartels in Brazil. As discussed previously, some studies indicate that prospective leniency applicants may be disinclined to propose a leniency agreement due to the potential for being held liable for private damages(<xref ref-type="bibr" rid="B04">BODNAR et al., 2023</xref>, p. 07).</p>
            <p>Article 86, Paragraph 1 and subsections of the Competition Defence Law determines the requirements that the leniency agreement applicant must meet, cumulatively, at the time of proposing the agreement, which are: being the first to qualify for the Leniency Agreement; the complete cessation of its involvement in the infraction presented or under investigation since the date of proposing the agreement. In addition, CADE’s General Superintendence must not possess evidence capable of guaranteeing the conviction of the applicant when the agreement is proposed and, finally, the admission of its participation in the infringement and its full and permanent cooperation with the investigations and the administrative process, and it must attend, at its own expense, whenever requested, to all procedural acts, until the agreement is ratified (<xref ref-type="bibr" rid="B08">BRASIL, 2011</xref>).</p>
            <p>It should be noted that individuals involved in violations of the economic order may enter into a leniency agreement, provided that they meet the requirements set out in art. 86, §1, II, III and IV of the Competition Defence Law.</p>
            <p>Article 199 of CADE’s Internal Regulations states that if the proponent does not submit all the documents and information necessary to formalize the leniency agreement, it may request a declaration from the General Superintendence certifying that it is the first to propose the leniency agreement regarding a specific infraction to be presented or under investigation (<xref ref-type="bibr" rid="B12">CADE, 2019</xref>).</p>
            <p>It is worth mentioning that the declaration required by the bidder will include the bidder’s full qualifications, the other perpetrators of the infringement to be presented, the products or services impacted, the geographical area affected and, whenever possible, the estimated duration of the reported infringement. In addition, the aforementioned statement will grant a deadline for the applicant to submit the leniency agreement to CADE’s General Superintendence (<xref ref-type="bibr" rid="B12">CADE, 2019</xref>).</p>
            <p>In a different way, the request for a password, or marker, is the act by which the leniency agreement proponent communicates its intention to propose a leniency agreement regarding a certain violation of the economic order to CADE’s General Superintendence.</p>
            <p>The aforementioned act is the first step that the applicant must take in order to ensure that they are the first to propose the agreement. In fact, the password request is used by other potential applicants who will be ranked in chronological order in order to secure their places in the queue of Applicant s, if the leniency agreement of the first proponent is rejected, if the first proponent withdraws from proposing the agreement or if the deadlines set out in articles 199, paragraph 3 and 205 of CADE’s Internal Regulations are not complied with, pursuant to article 200, paragraph 2 and subsections of CADE’s Internal Regulations (<xref ref-type="bibr" rid="B12">CADE, 2019</xref>).</p>
            <p>In this sense, if the applicant is not the first to be eligible to propose a leniency agreement, or for another reason, it is no longer possible to offer a leniency agreement for the reported infraction, it will be informed of this unavailability by the General Superintendent, the General Coordinator of Antitrust Analysis or another official expressly designated for this purpose. As a result, the aforementioned authorities will be able to certify to the applicant that it is in the waiting list for a possible leniency agreement related to the same reported infraction.</p>
            <p>After the qualification phase for proposing the agreement, the negotiation phase of the leniency agreement begins. In this phase, the proposer will provide CADE with detailed information regarding the aspects mentioned in the leniency agreement request, in such a way that the information previously provided must be supported by documents.</p>
            <p>Regarding the type of evidence commonly used at this stage of negotiations, in general, CADE’s General Superintendence receives everything from electronic correspondence exchanged between competitors to proof of meetings (minutes, Outlook commitment, room scheduling, hotel reservations, credit card statements, travel receipts, etc.(<xref ref-type="bibr" rid="B11">CADE, 2016</xref>, p. 35).</p>
            <p>In this sense, the leniency agreement proposal will be submitted to the General Coordinator of Antitrust Analysis 10, including all documents that corroborate the information provided, as well as detailed information on the involvement of the other perpetrators, including their identities and participation in the scheme. Information will also be provided regarding the geographical area affected, indicating the locations in which the anti-competitive practices were carried out, as well as the respective impacts caused, in accordance with article 203 of CADE’s Internal Regulations (<xref ref-type="bibr" rid="B12">CADE, 2019</xref>, p. 59).</p>
            <p>It should be noted that the applicant must inform of the existence of other leniency proposals regarding the same infraction in other jurisdictions, as long as there is no prohibition on the part of the foreign authorities, under the terms of article 203, III of CADE’s Internal Regulations (<xref ref-type="bibr" rid="B12">CADE, 2019</xref>, p. 59).</p>
            <p>After submitting this proposal for an agreement, CADE’s General Superintendence is given 10 days to decide on its validity, the deadline for signing the leniency agreement or to improve the proposal, if necessary (<xref ref-type="bibr" rid="B12">CADE, 2019</xref>, p. 59).</p>
            <p>With regard to the grounds for rejecting a leniency agreement proposal, rejection occurs when the applicant does not have adequate probative material to prove the commission of the infraction denounced and/or due to a lack of cooperation during the negotiation stages.</p>
            <p>It should be noted that a rejected leniency proposal will not be interpreted as a confession of the facts related to the reported infraction, nor as a recognition of the illegality of the conduct under analysis, in other words, the mere fact that a leniency proposal is rejected does not imply assuming responsibility or admitting guilt for the acts in question.</p>
            <p>In order to preserve the confidentiality of the negotiation conducted, in the event of rejection of the bid, all documents submitted by the bidder will be returned. In addition, the information and documents provided during this negotiation may not be used by CADE for any purpose whatsoever.</p>
            <p>However, the documents and information submitted will not prevent the opening of the investigative procedure to investigate facts related to the proposed leniency agreement, if there are indications or autonomous evidence that are brought to the attention of the authority by any other means.</p>
            <p>With the end of the negotiation phase, the formalization phase of the leniency agreement begins, which must include the clauses and conditions set out in article 207, paragraph 1 of CADE’s Internal Regulations (<xref ref-type="bibr" rid="B12">CADE, 2019</xref>, p. 59 and 60)</p>
            <p>It is worth mentioning that among the conditions for formalizing the leniency agreement, CADE’s General Superintendence must declare whether or not it has prior knowledge of the infraction presented, at the time of proposing the leniency agreement. Prior knowledge means the existence of open administrative proceedings with evidence of anti-competitive practices.</p>
            <p>It should be noted that CADE’s General Superintendence has made it possible for the Public Prosecutor’s Office to participate as an intervening agent in the leniency agreement, with the aim of providing greater legal certainty to the signatories of said agreement, as well as facilitating the criminal investigation of the infraction presented.</p>
            <p>Thus, the Public Prosecutor’s Office is allowed to ask questions, request changes to the terms of the agreement and make supplementary requests; however, these requests are mediated by CADE’s General Superintendence, since it has the legal authority to enter into leniency agreements under Law No. 12,529/11.</p>
            <p>Finally, after full compliance with the terms established in the leniency agreement, the CADE Court will issue a decision to extinguish the signatory’s punish ability in relation to the violation that was the subject of the leniency agreement or to reduce the penalties applicable to the violator by one to two thirds in other cases, in accordance with article 86, paragraph 4 and subsections of Law No. 12.529/11 (<xref ref-type="bibr" rid="B08">BRASIL, 2011</xref>).</p>
            <p>In addition, the punish ability of the crimes provided for in Law No. 8.137/90 and other crimes directly related to the practice of cartel, typified in Law No. 8.666/93 and those typified in art. 288 of the Penal Code, is extinguished.</p>
            <p>The recent legislative change introduced by Law 14.470/22 may prove to be an additional factor influencing the deterrence of cartels in Brazil. As previously discussed, some studies indicate that potential leniency applicants may be less inclined to propose a leniency agreement due to the potential for private damage claims.</p>
            <p>Some studies indicate that the Brazilian antitrust leniency programme has been successful, arguing that in the first five years of Law No. 12.529/11, the programme became more mature and stable, with an increase in the number of market requests and agreements signed (ATHAYDE; FRADE; ANDRADE, 2018, p. 1274; <xref ref-type="bibr" rid="B19">MARTINEZ, 2015</xref>, p. 267).</p>
            <p>To corroborate the aforementioned information, statistical data produced by the Brazilian antitrust authority demonstrates a notable increase in the number of leniency agreements reached between 2003 and 2024, as illustrated in the following <xref ref-type="fig" rid="f01">graph</xref>.</p>
            <fig id="f01">
                <label>Graphic 1</label>
                <caption>
                    <title>Leniency Agreements and Adherence</title>
                </caption>
                <graphic xlink:href="2236-1766-rdp-21-111-0330-gf01.tif"/>
                <attrib>Legend: Dark blue: signed Leniency Notice; light blue: adherence to signed leniency agreements. Source: Administrative Council for Economic Defence (2024)</attrib>
            </fig>
            <p>In consideration of the data presented in the graph above, there has been a notable surge in the number of leniency agreements signed since 2010, with a pronounced increase observed during the period between 2014 and 2017. This growth serves as a crucial indicator of the reforms introduced by the Brazilian antitrust authority in its approach to leniency.</p>
            <p>Nevertheless, given the confidentiality of cartel conduct and the unknowable number of cartels currently in existence, it is not feasible to correlate this data with the potential success of detecting and destabilising cartels. The aforementioned statistics indicate an increase in the utilisation of CADE’s leniency programme, which may be an indicative marker of its capacity to effect positive outcomes.</p>
            <p>In regard to the collaboration demanded by CADE, there is a perception that this is regarded as particularly burdensome, given that it is typically more extensive than anticipated in investigations in the United States of America or in Europe (<xref ref-type="bibr" rid="B22">OECD, 2019</xref>, p. 63).</p>
            <p>In regard to the collaboration demanded by CADE, there is a perception that this is regarded as particularly burdensome, given that it is typically more extensive than anticipated in investigations in the United States of America or in Europe (<xref ref-type="bibr" rid="B22">OECD, 2019</xref>, p. 63).</p>
            <p>This observation highlights the difference in approach between the Brazilian antitrust authority and authorities in other countries. CADE has adopted a strict stance on cooperation, seeking detailed and substantial information from those involved in cases of anti-competitive practices.</p>
            <p>In addition, CADE has adopted an increasingly careful approach when concluding leniency agreements. The authority has demanded a more robust set of evidence to prove illicit practices and, in the case of conduct with an international scope, has asked for compelling evidence of the impacts on the Brazilian market(<xref ref-type="bibr" rid="B22">OECD, 2019</xref>, p. 64).</p>
            <p>However, this stance has led to an increase in the time needed to conclude leniency agreements, in some cases reaching a year’s wait (<xref ref-type="bibr" rid="B22">OECD, 2019</xref>, p. 64).</p>
            <p>The search for more solid and robust cases reflects CADE’s goal of strengthening its actions and ensuring effectiveness in the repression of anti-competitive conducts. However, it is essential to find a balance between this rigorous approach and the need for speedy proceedings, so as not to unnecessarily harm companies and ensure legal certainty for all parties involved.</p>
            <p>Therefore, it can be seen that the leniency agreement is an important instrument for combating illicit competition, enabling the identification and punishment of offenders, the protection of competition and the promotion of economic welfare.</p>
        </sec>
        <sec>
            <title>5. GAME THEORY APPLIED TO ANTITRUST LAW</title>
            <p>The game theory focuses on the actions of decision makers who are aware that their decisions affect each other. Its main objective is to provide an understanding of the situations in which these decision makers interact (<xref ref-type="bibr" rid="B23">OSBORNE, 2004</xref>; <xref ref-type="bibr" rid="B25">RASMUSEN, 1990</xref>).</p>
            <p>The sequential games are understood as games in which players carry out their strategic moves in a pre-ordained order. In the context of a game with perfect information, the player who takes subsequent actions is aware of the actions taken by the previous player.</p>
            <p>Thus, when making their strategic choice, the player who moves first must take into account that the subsequent player will be aware of their initial action (<xref ref-type="bibr" rid="B02">BIERMAN; FERNANDEZ, 2011</xref>, p. 112). In this type of game, a player’s actions and decisions affect the options available to other players in the future.</p>
            <p>The fundamental difference between simultaneous and sequential games is that in sequential games, the second player receives information about the first player’s actions before making his own decision (<xref ref-type="bibr" rid="B23">OSBORNE, 2004</xref>; <xref ref-type="bibr" rid="B25">RASMUSEN, 1990</xref>).</p>
            <p>In the context of a game with perfect information, the player taking subsequent actions is aware of the actions taken by the previous player .</p>
            <p>A sequential game is best represented in extended form, using the game tree, since this representation allows visualization of the successive stages of the strategic interaction process.</p>
            <p>A game tree is a graphical representation made up of nodes and branches, in which each node depicts a moment in the game when the player makes a decision, and a branch represents a possible action for a player (<xref ref-type="bibr" rid="B02">BIERMAN; FERNANDEZ, 2011</xref>, p. 112).</p>
            <p>However, in order to model a game in extended form, using the game tree, it is necessary to respect certain rules with the intention of preserving the coherence and clarity of the model to be developed.</p>
            <p>After conceptualizing a sequential game, it is necessary to define a perfect information game. A perfect information game is a type of game in which all players are aware of the game’s story when they make their choices.</p>
            <p>In this sense, in a sequential game with perfect information, knowing that all the players are aware of the stages played previously, the player who acts later will take advantage of the information about the actions taken in the previous stage of the game to make the best decision in their own turn, being rational, that is, consistent in the pursuit of their objectives.</p>
            <p>Cristopher Leslie developed a study on the application of game theory to leniency programs, in which the game “The Prisoners’ Dilemma” is adapted to a leniency program applied to antitrust law (<xref ref-type="bibr" rid="B17">LESLIE, 2006</xref>).</p>
            <p>According to <xref ref-type="bibr" rid="B17">Leslie (2006, p. 458)</xref>, by confessing to the cartel, the Applicant would be giving up the profits from the cartel, since the confession would result in the mandatory dismantling of the cartel, eliminating any possibility of participation in future cartels, since a company that reveals the existence of a cartel will not be considered reliable to participate in future cartels, even in different product markets.</p>
            <p>Another consequence of the confession is the possibility for third parties to file civil liability lawsuits claiming compensation for the damage caused, given that the third parties would only need to prove the damage suffered as a result of the cartel practice (<xref ref-type="bibr" rid="B17">LESLIE, 2006</xref>, p. 459).</p>
            <p>The third consequence of the confession observed by the author concerns the company’s exposure to state prosecution for crimes associated with the cartel practice and which are not included in the list of immunities under the leniency agreement (<xref ref-type="bibr" rid="B17">LESLIE, 2006</xref>, p. 459).</p>
            <p>In addition, if the cartel is international in nature, it will be subject to prosecution in other jurisdictions, which will result in a prolonged investigation in which it will be forced to adopt a cooperative stance (<xref ref-type="bibr" rid="B17">LESLIE, 2006</xref>, p. 459).</p>
            <p>Finally, another effect on the Applicant is the reputational damage that the company will experience, since it will have to deal with the reputational damage resulting from this investigation (<xref ref-type="bibr" rid="B17">LESLIE, 2006</xref>, p. 459).</p>
            <p>Thus, taking into account the additional costs of pleading guilty, which are not directly related to the punishment for federal antitrust violations, pleading guilty is not the best option.</p>
            <p>The author concludes that there are consequences associated with destabilizing cartels, such as the possibility of leaders receiving amnesty, companies that were slow to admit their mistakes being rewarded and the first to confess receiving amnesty, even when the government already has enough evidence to convict all the cartel members.</p>
            <p>In this sense, by granting such benefits, the antitrust authority will be generating distrust in cartels, as well as deterring potential cartels and destabilizing existing ones.</p>
            <p>Therefore, considering the concepts and rules set out above, as well as certain characteristics presented by the game model produced by <xref ref-type="bibr" rid="B17">Leslie (2006)</xref> a sequential game of perfect information will be modelled in the next chapter to examine CADE’s leniency program.</p>
        </sec>
        <sec>
            <title>6. THE BRAZILIAN ANTITRUST LENIENCY GAME</title>
            <p>CADE’s leniency program is seen as an important tool in the fight against cartels, since by informing on one of those involved, it is possible to identify the other offenders, allowing the cartel to be punished and dismantled.</p>
            <p>In this way, it is possible to apply the concept of sequential games described in chapter 2, as well as to model the game of CADE’s Leniency Program or the game of Brazilian antitrust leniency, determining the strategic decisions of a company participating in a cartel and of CADE, as a sequential game of perfect information.</p>
            <p>The game being modelled is sequential and has perfect information, because the players make their strategic moves in a pre-ordained order, and all the players know the previous moves, i.e. the game’s history.</p>
            <p>There are only two players in the Brazilian antitrust leniency game: the Applicant and CADE. The Applicant decides whether or not to propose a leniency agreement to CADE and CADE will decide whether or not to accept the leniency proposal.</p>
            <p>The order of the moves in the game in question will be as follows: the Applicant will be the first to move, deciding whether or not to propose the leniency agreement, while the second move will be made by CADE, which will decide whether or not to accept the leniency agreement proposed by the Applicant .</p>
            <p>As for the pay-offs sought by players, these are what they get after finishing the game, according to their actions and the actions of the other players. It reflects the result achieved by the player based on their strategies and actions, as well as the strategies and actions of the other players involved.</p>
            <p>The variable “A” represents the administrative sanction to be applied to a company for practicing the cartel. Among the possible administrative sanctions to be applied, alone or cumulatively, are a ban on contracting with official financial institutions and participating in bids with bodies and entities of the direct administration, as well as indirect administration entities, for a period of not less than five years, and is the publication of the conviction, in a newspaper indicated in the decision, at its own expense, for two consecutive days, for one to three consecutive weeks, according to article 38, I of the Brazilian Antitrust Law. For the proposed model, variable “A” represents a quarter of the gross revenue for the financial year preceding the infraction.</p>
            <p>The variable “C” refers to the cost of possible litigation that the Applicant may have to bear if the agreement is not proposed or is not accepted, that is, if the cartel is discovered and an administrative proceeding is subsequently opened.</p>
            <p>The variable “I” is related to the costs of investigating the cartel, which CADE may incur if the leniency agreement is not accepted or proposed, For the purpose of the model being made up, the variable “I” is equal to 10% of the value attributed to the variable “M”.</p>
            <p>The variable “L” comprises the profit earned by the Applicant, as a participant in the cartel, the profit represents 20% of the company’s annual gross revenue for the financial year preceding the infraction.</p>
            <p>The variable “M” represents the fine or pecuniary sanction imposed on the offender for practicing the cartel. The fine will never be less than the advantage gained by the offender, according to article 37, I of the Brazilian Antitrust Law, i.e. M ≥ L. In the game to be modelled, if the Applicant does not propose the leniency agreement or CADE does not accept it, the fine will be equivalent to 20% of the Applicant´s gross annual turnover in the previous year, considering the possibility of detection of the infraction and its subsequent punishment by CADE.</p>
            <p>The variable “Mi” refers to the potential sanctions that may be imposed on other members of the cartel, due to the discovery of the infraction.</p>
            <p>The variable “RC” refers to the possibility of being condemned to civil reparation for the damage caused to third parties by the cartel, since this is not covered by the immunities granted in the leniency agreement. For the modelling of the game in question, we have RC= L, if the leniency agreement proposed to CADE is accepted and subsequently approved by the CADE Court, given that the signatory of the leniency agreement is only liable for the damage actually caused, while he does not have joint and several liability for the damage caused by the other agents of the violation of the economic order.</p>
            <p>However, in the event that the leniency agreement is not proposed or is not accepted by CADE, 2RC &gt; L, regarding the possibility of the Applicant being sentenced to double the civil damages caused, according to article 47, §1 of Law No. 12.529/11.</p>
            <p>Finally, as the game being modelled is based on a company, criminal sanctions are not part of the proposed game as they only apply to employees of the company, according to article 4, II and subparagraphs of Law 8.137/90 (<xref ref-type="bibr" rid="B05">BRASIL, 1990</xref>).</p>
            <p>An important concept is that of the classic or hardcore cartel. The classic cartel is conceptualized as an illicit agreement between agents aimed at fixing prices and dividing up the market. According to <xref ref-type="bibr" rid="B27">Silveira (2020, p. 75)</xref>,the cartel is defined as an agreement between competitors aimed at fixing prices and delimiting the market. Classic cartels are characterized by being organized and relatively stable. They have a central negotiating body which facilitates the exchange of information and agreements between the participating companies. It should be noted that this type of cartel involves explicit collusion.</p>
            <p>The game being modelled involves a food sector company participating in a classic or hardcore cartel, referred to as the applicant. The cartel consists of four other members with the same production structure, producing identical products in terms of quality and quantity, hence homogeneous products. In this context, the variable “Mi” is equivalent to “4L”. The Applicant is considering submitting a Leniency Agreement proposal to CADE.</p>
            <p>It should be noted that the potential Applicant is in its second year of participation in the cartel, as well as having gross annual revenues of 100 million dollars in 2022. However, the Applicant has a probability p of being discovered and a probability (1-p) of not being discovered, considering that the variable p will be assigned a value of 0.5, since the probability of the cartel being discovered is 50%, as well as the probability of not being discovered is 50%.</p>
            <p>It is important to emphasize that the probability attributed to the possibility of detecting or not detecting the cartel is not based on empirical research; in this sense, it is a theoretical assumption for the purposes of the proposed model.</p>
            <p>Therefore, considering the variables available to the Applicant and CADE, the Brazilian antitrust leniency game was modelled as follows:</p>
            <fig id="f02">
                <label>Figure 1</label>
                <caption>
                    <title>The Brazilian Antitrust Leniency Game</title>
                </caption>
                <graphic xlink:href="2236-1766-rdp-21-111-0330-gf02.tif"/>
                <attrib>Source: Prepared by the author´s</attrib>
            </fig>
            <p>It can be seen that by not proposing the leniency agreement to CADE, Applicant has a reward corresponding to the value of -13, the reward equation (X) being given by:</p>
            <disp-formula id="e01">
                <mml:math>
                    <mml:mtable>
                        <mml:mtr>
                            <mml:mtd>
                                <mml:mi mathvariant="normal">X</mml:mi>
                                <mml:mo>=</mml:mo>
                                <mml:mo>&#xA0;</mml:mo>
                                <mml:mi mathvariant="normal">p</mml:mi>
                                <mml:mo>(</mml:mo>
                                <mml:mi mathvariant="normal">L</mml:mi>
                                <mml:mo>-</mml:mo>
                                <mml:mo>&#xA0;</mml:mo>
                                <mml:mi mathvariant="normal">A</mml:mi>
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                                <mml:mi mathvariant="normal">C</mml:mi>
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            </disp-formula>
            <p>However, if a leniency agreement is not proposed to CADE, it will receive a reward corresponding to the value of 41.5. The probability that CADE will detect and impose sanctions as a result of the leniency agreement, as well as the probability that CADE will not detect the cartel, which would incur investigation costs, must be taken into account. The reward equation (Y) is given by:</p>
            <disp-formula id="e02">
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                                <mml:mo>&#xA0;</mml:mo>
                                <mml:mo>(</mml:mo>
                                <mml:mn>0</mml:mn>
                                <mml:mo>,</mml:mo>
                                <mml:mn>5</mml:mn>
                                <mml:mo>)</mml:mo>
                                <mml:mo>&#xA0;</mml:mo>
                                <mml:mo>(</mml:mo>
                                <mml:mn>5</mml:mn>
                                <mml:mo>+</mml:mo>
                                <mml:mn>4</mml:mn>
                                <mml:mo>(</mml:mo>
                                <mml:mn>20</mml:mn>
                                <mml:mo>)</mml:mo>
                                <mml:mo>+</mml:mo>
                                <mml:mn>20</mml:mn>
                                <mml:mo>-</mml:mo>
                                <mml:mn>2</mml:mn>
                                <mml:mo>)</mml:mo>
                                <mml:mo>&#xA0;</mml:mo>
                                <mml:mo>+</mml:mo>
                                <mml:mo>&#xA0;</mml:mo>
                                <mml:mo>(</mml:mo>
                                <mml:mn>0</mml:mn>
                                <mml:mo>,</mml:mo>
                                <mml:mn>5</mml:mn>
                                <mml:mo>)</mml:mo>
                                <mml:mo>&#xA0;</mml:mo>
                                <mml:mo>(</mml:mo>
                                <mml:mo>-</mml:mo>
                                <mml:mn>20</mml:mn>
                                <mml:mo>)</mml:mo>
                            </mml:mtd>
                        </mml:mtr>
                        <mml:mtr>
                            <mml:mtd>
                                <mml:mi mathvariant="normal">Y</mml:mi>
                                <mml:mo>=</mml:mo>
                                <mml:mo>&#xA0;</mml:mo>
                                <mml:mn>41</mml:mn>
                                <mml:mo>,</mml:mo>
                                <mml:mn>5</mml:mn>
                            </mml:mtd>
                        </mml:mtr>
                    </mml:mtable>
                    <mml:mspace linebreak="newline"/>
                </mml:math>
            </disp-formula>
            <p>In summary, if CADE accepts the Leniency Agreement proposed by the Applicant, it will receive a reward corresponding to 80, since, by signing the Leniency Agreement with the Applicant, CADE will become aware of the other members of the cartel and, consequently, it will be able to apply the financial sanction related to the practice of the cartel.</p>
            <p>Given the decision of CADE to accept the proposed Leniency Agreement, the Applicant will be rewarded with -20, considering that RC= M. The leniency agreement, upon homologated by the CADE Court, extinguishes the Applicant´s liability for the infringement. The company may face civil liability for the damages caused by its participation in the cartel. Therefore, the equation for her reward (X) is given by:</p>
            <disp-formula id="e03">
                <mml:math>
                    <mml:mtable>
                        <mml:mtr>
                            <mml:mtd>
                                <mml:mi mathvariant="normal">X</mml:mi>
                                <mml:mo>=</mml:mo>
                                <mml:mo>&#xA0;</mml:mo>
                                <mml:mo>-</mml:mo>
                                <mml:mi>RC</mml:mi>
                            </mml:mtd>
                        </mml:mtr>
                        <mml:mtr>
                            <mml:mtd>
                                <mml:mi mathvariant="normal">X</mml:mi>
                                <mml:mo>=</mml:mo>
                                <mml:mo>&#xA0;</mml:mo>
                                <mml:mo>-</mml:mo>
                                <mml:mn>20</mml:mn>
                            </mml:mtd>
                        </mml:mtr>
                    </mml:mtable>
                </mml:math>
            </disp-formula>
            <p>If the applicant proposes a leniency agreement, but it is rejected by CADE, then CADE will receive a reward of 41.5. The reward will be calculated in the same way as if the applicant does not propose a leniency agreement. Similarly, if CADE rejects the leniency agreement proposed by the applicant, then the applicant will receive a reward of -13.</p>
            <p>Therefore, in order to analyse the sequential game of perfect information developed, it will be necessary to obtain the possible equilibrium of the game in question by applying the concept of Nash equilibrium.</p>
            <p>The Nash equilibrium occurs when the strategy chosen by a given player is the best possible response to the strategies of the other players, and this is true for all the players involved.</p>
            <p>Regarding the case of CADE, if the Applicant proposes a leniency agreement, the best decision that CADE can make is to accept the agreement, since it will receive a reward of 80, as opposed to a reward of 41.5 if it decides not to accept the agreement.</p>
            <p>However, when considering the Applicant’s case, the decision “does not propose” the leniency agreement provides a greater reward, since make that action, the Applicant’s reward will be -13, whereas “propose” the leniency agreement, your reward will be -20.</p>
            <p>In this case, the best decision to be made by the applicant is “Does not propose”, therefore, as it is a sequential game in which the applicant is the first player to make a decision, CADE’s decision to “Accept” is not relevant to this first game, as this decision will not occur due to the first action made by the Applicant.</p>
            <p>In a simplified way, we obtain a Nash equilibrium: (Do Not Propose), that is, the strategy that provides the best reward to the potential Applicant is not to propose the leniency agreement.</p>
            <p>Therefore, in order to illustrate the impact of the immunity from civil liability for damages caused by the cartel on the leniency applicant, a second scenario will be drawn up in which the Brazilian competition law will be modified in such a way that the leniency applicant will also benefit from the immunity from civil liability for damages caused by the cartel.</p>
            <p>In this regard, a proposed revision of the Brazilian antitrust leniency game is presented, with the introduction of an immunity from civil liability for damages caused by the practice of the cartel to the applicant of the leniency agreement:</p>
            <fig id="f03">
                <label>Figure 2</label>
                <caption>
                    <title>The Brazilian Antitrust Leniency Game Remodelled</title>
                </caption>
                <graphic xlink:href="2236-1766-rdp-21-111-0330-gf03.tif"/>
                <attrib>Source: Prepared by the author´s</attrib>
            </fig>
            <p>It is evident that the Applicant receives a reward equal to -13 for not propose the Leniency Agreement to CADE, according to the previous reward equation (X).</p>
            <p>However, if no Leniency Agreement is proposed to CADE, it will receive a corresponding reward of 40.5 according to the previous reward equation (Y).</p>
            <p>In summary, if the applicant proposes the Leniency Application and CADE accepts it, a reward of Y=80 will be granted due to the financial sanctions that may be imposed on the other members of the cartel.</p>
            <p>As a result of CADE’s decision to accept the proposed leniency agreement, the applicant shall receive a reward value of 0. The leniency agreement, once ratified by the Administrative Court of CADE, will extinguish the applicant’s liability for the infringement. Furthermore, the legislative modification introduced in this scenario, regarding the immunity from civil liability of leniency applicants will be applicable, therefore its reward equation (X) will be equal to 0.</p>
            <p>If the applicant propose a leniency agreement but CADE rejects it, the applicant will receive a reward of -13, calculated in the same way as the reward for not proposing a leniency agreement. Otherwise, if CADE rejects the leniency agreement proposed by the applicant, CADE will obtain a reward of 41.5.</p>
            <p>In simplified terms, we arrive at two Nash equilibrium: (Propose, Accept) and (Do Not Propose, Do Not Accept). The equilibrium consisting of the ordered pair (Do Not Propose, Do Not Accept) is irrational, since if the applicant had decided to propose the leniency agreement, the decision not to accept would lead to a smaller reward than the decision to accept, i.e. it would be an irrational choice.</p>
            <p>Due to the limitations of the Nash equilibrium, which solely necessitates using strategies as best responses to each other without considering the order in which decisions are made, the backward induction method will be used to solve the preceding game. This approach involves examining the game in reverse, beginning from the players’ pay-offs and then analysing the first decision node that appears separately to determine the most optimal choices for each player (<xref ref-type="bibr" rid="B15">HARRINGTON JR, 2009</xref>, p. 222).</p>
            <p>In this regard, the chosen method will be employed to examine the potential subgame perfect equilibrium among the Nash equilibria in the extended form of The Second Brazilian Antitrust Leniency Game.</p>
            <fig id="f04">
                <label>Figure 3</label>
                <caption>
                    <title>The Backward Induction Method applied to the Brazilian Antitrust Leniency Game</title>
                </caption>
                <graphic xlink:href="2236-1766-rdp-21-111-0330-gf04.tif"/>
                <attrib>Source: Prepared by the author´s</attrib>
            </fig>
            <p>The analysis of the final decision node shows that the action of (accept) the leniency agreement has a greater payoff for CADE, so the action of (does not accept) it will be eliminated.</p>
            <p>In the analysis of the applicant potential actions, the action (Propose) of the leniency agreement offers a greater reward than (Does not propose), according to the game tree below:</p>
            <fig id="f05">
                <label>Figure 4</label>
                <caption>
                    <title>The Backward Induction Method applied to the Brazilian Antitrust Leniency Game</title>
                </caption>
                <graphic xlink:href="2236-1766-rdp-21-111-0330-gf05.tif"/>
                <attrib>Source: Prepared by the author´s</attrib>
            </fig>
            <p>Therefore, the perfect equilibrium in subgames is formed by the ordered pair (Propose, Accept), as this set of strategies provides the best actions for each player. Thus, after the introduction of the legislative amendment concerning the immunity from civil damages caused by the leniency applicant, the best option in cartel practice is to propose the leniency agreement, as opposed to the first game designed, in which proposing the leniency agreement is not the best course of action.</p>
        </sec>
        <sec sec-type="conclusions">
            <title>7. CONCLUSION</title>
            <p>In the first modelled game, the equilibrium is formed by the ordered pair (Does not propose, Accept). Therefore, the best action for the company is to not propose the leniency agreement.</p>
            <p>However, in the second game modelled, when the legislative change regarding immunity from civil damages caused by the leniency applicant is introduced, the best option for the company is to propose the leniency agreement, according to the methodology and scenario presented, and in both games it was assumed that there is a 50% probability that the cartel will be detected.</p>
            <p>The analysis of the modelled games shows that, depending on the probability of detection of the cartel, the benefits and incentives provided by the leniency agreement may not outweigh the gains made by the offender over time. One widely discussed suggestion is the inclusion of immunity for the applicant in relation to civil damages caused by the cartel practice.</p>
            <p>The legal actions for damage compensation are a crucial aspect to consider in public and private antitrust enforcement, apart from leniency policies. In Brazil, there is a tendency to encourage such legal processes, according to the legislative change in the Brazilian Antitrust Law made possible by Law No. 14,470/22. This article propose doubling reimbursement for harmed parties and limiting the liability of leniency applicants in cases involving direct buyers who are not jointly and severally liable, as evidenced by article 47, paragraphs 1, 2 and 3 of Law 12,529/11. However, the previous analysis indicates that encouraging damage claims without providing immunity to recipients is not the optimal approach to deter anti-competitive practices, as it may decrease incentives to report such conduct. Therefore, the challenge for Brazilian antitrust policies is to strike a suitable balance between promoting lawsuits for damage compensation and maintaining incentives for cooperation with antitrust authorities (<xref ref-type="bibr" rid="B24">PINHA; BRAGA, 2021</xref>, p. 35).</p>
            <p>Therefore, leniency programs face a delicate balance. They can improve the detection and deterrence of cartels, benefiting competition and consumers. However, they can also contribute to the stabilization of cartels that remain, resulting in increased prices that may harm consumers. Therefore, it is imperative that antitrust authorities and regulators thoroughly evaluate the execution of these initiatives and weigh their impact on both competition and the overall economy.</p>
        </sec>
    </body>
    <back>
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