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題名 大數據競爭法議題之研究
Research on Big Data Competition Law
作者 宋皇志
貢獻者 科管智財所
關鍵詞 大數據; 競爭法; 限制競爭; 不公平競爭
Big Data; Competition Law; Restrictive Competition; Unfair Competition
日期 2023-10
上傳時間 22-Jun-2026 13:44:31 (UTC+8)
摘要 大數據是數位經濟的「新型石油」--主要的驅動力量，在數位經濟風起雲湧發展之際，大數據之取得與運用成為企業競爭最關鍵的因素。數位經濟之市場能否健全發展，某程度取決於事業間大數據之自由競爭。準此，大數據相關市場自由競爭秩序之維護，便成為數位經濟能否健全發展最重要之課題。過往法律學界對於大數據法律議題之研究，多著重在消費者、隱私權與個人資料之保護，較少關注競爭法之議題。鑑於國內外已有多起關於大數據所衍生限制競爭或不公平競爭之糾紛，大數據相關競爭法議題之學術研究刻不容緩。因此，本研究計畫聚焦鑽研大數據之競爭法議題，擬區分成三大部分，其中第一部分運用法律經濟分析探討大數據之競爭法意涵。大數據同時兼有促進競爭以及妨礙競爭之面向，如何增進促進競爭之效果並減低妨礙競爭之效果，係本研究計畫關注之議題。第二部分將探究大數據之運用是否可能構成限制競爭。此部分除了探討大數據之限制競爭意涵外，又區分成四個子題，包含：大數據是否可能有市場力量與獨占地位、大數據之運用是否可能構成獨占地位濫用、大數據之運用是否可能構成聯合行為、以及大數據相關事業結合在法律上應如何評價等。本研究第三部分將探究大數據之運用是否可能構成不公平競爭。此部分除了探討大數據之不公平競爭意涵外，又區分成二個子題，包含：大數據產業是否可能因「足以影響交易秩序之欺罔」而構成不公平競爭、及大數據產業是否可能因「足以影響交易秩序之顯失公平行為」而構成不公平競爭。本研究計畫期能以兩年時間完整研究大數據之競爭法議題，包含比較法研究與法律經濟分析，期能於學理上提出嚴謹完善之論述與創新獨到的見解，為我國大數據競爭法議題之學術發展貢獻一份心力。在實務方面，舉凡大數據之相關市場如何界定、大數據是否具有市場力量及進入障礙、大數據相關事業何種行為可能構成獨占地位濫用、兩家或以上大數據公司何種合作行為可能構成聯合行為、兩家或以上大數據公司合併之結合申請應該如何審查、以及大數據相關事業何種行為可能構成不公平競爭等等，皆是競爭法主管機關與數據驅動市場產業界共同關心之議題。於學術上釐清這些議題後，產業界之市場競爭才能有所依循，競爭法主管機關之行政處分與裁罰也才能有學理依據。準此，本研究計畫希望能以嚴謹之學術研究成果帶動國內大數據產業之自由競爭，同時為公平交易委員會之行政處分與裁罰提供良好的學術基礎。
Big data is the “new oil” (the main driving force) of the digital economy. While the digital economy is booming, the acquisition and applications of big data have become the most critical factor for enterprise competition. To some extent, whether the market for digital economy can develop soundly depends on the free competition of big data among businesses. Therefore, the maintenance of the free competition order in the big data-related market has become the most important issue for the sound development of the digital economy. In the past, the legal scholars’ researches on big data legal issues focused on the protection of consumers, privacy and personal data, and paid less attention to the issue of competition law. In view of the fact that there have been many domestic and international disputes about restrictive competitions and unfair competitions derived from big data, academic research on big data competition law issues cannot be delayed. For this reason, this research project focuses on the issues of competition law for big data. The research plan is divided into three parts, the first part of which uses legal economic analysis to explore the meaning of competition law in big data. Big data has both the perspectives of promoting competition and hindering competition. The second part will explore whether the use of big data may constitute a restrictive competition. In addition to exploring the meaning of restrictive competition for big data, this section can be divided into four sub-topics, including: whether big data have market power and dominant position, whether the use of big data constitutes an abuse of monopolistic position, whether the use of big data likely constitutes a concerted action, and how should the big data business mergers be evaluated in law. The third part will explore whether the use of big data may constitute an unfair competition. In addition to exploring the meaning of unfair competition for big data, this section can be divided into two sub-topics, including: whether the big data industry is likely to constitute an unfair competition due to “deception to affect the trading order” and “significant unfair practices that affect the trading order.” This research project would fully study the competition law issues of big data in two years, including comparative law research and legal economic analysis. In practice, the following issues are common concern to the competition law authorities and the data-driven market industry: how to define the relevant market for big data, whether big data has market power and barriers to entry, what behaviors of big data businesses may constitute an abuse of monopolistic position, what kind of agreements between two big data companies may constitute a concerted action, how the merger of two big data companies should be reviewed, and what kind of behaviors of big data businesses may constitute an unfair competition. The research results of this project will provide rules for big data industries to follow and academic foundations for authorities to reference.
關聯 科技部, MOST108-2410-H004-140-MY2, 108.08-110.07
資料類型 report
dc.contributor 科管智財所
dc.creator (作者) 宋皇志
dc.date (日期) 2023-10
dc.date.accessioned 22-Jun-2026 13:44:31 (UTC+8)-
dc.date.available 22-Jun-2026 13:44:31 (UTC+8)-
dc.date.issued (上傳時間) 22-Jun-2026 13:44:31 (UTC+8)-
dc.identifier.uri (URI) https://ah.lib.nccu.edu.tw/item?item_id=183056-
dc.description.abstract (摘要) 大數據是數位經濟的「新型石油」--主要的驅動力量，在數位經濟風起雲湧發展之際，大數據之取得與運用成為企業競爭最關鍵的因素。數位經濟之市場能否健全發展，某程度取決於事業間大數據之自由競爭。準此，大數據相關市場自由競爭秩序之維護，便成為數位經濟能否健全發展最重要之課題。過往法律學界對於大數據法律議題之研究，多著重在消費者、隱私權與個人資料之保護，較少關注競爭法之議題。鑑於國內外已有多起關於大數據所衍生限制競爭或不公平競爭之糾紛，大數據相關競爭法議題之學術研究刻不容緩。因此，本研究計畫聚焦鑽研大數據之競爭法議題，擬區分成三大部分，其中第一部分運用法律經濟分析探討大數據之競爭法意涵。大數據同時兼有促進競爭以及妨礙競爭之面向，如何增進促進競爭之效果並減低妨礙競爭之效果，係本研究計畫關注之議題。第二部分將探究大數據之運用是否可能構成限制競爭。此部分除了探討大數據之限制競爭意涵外，又區分成四個子題，包含：大數據是否可能有市場力量與獨占地位、大數據之運用是否可能構成獨占地位濫用、大數據之運用是否可能構成聯合行為、以及大數據相關事業結合在法律上應如何評價等。本研究第三部分將探究大數據之運用是否可能構成不公平競爭。此部分除了探討大數據之不公平競爭意涵外，又區分成二個子題，包含：大數據產業是否可能因「足以影響交易秩序之欺罔」而構成不公平競爭、及大數據產業是否可能因「足以影響交易秩序之顯失公平行為」而構成不公平競爭。本研究計畫期能以兩年時間完整研究大數據之競爭法議題，包含比較法研究與法律經濟分析，期能於學理上提出嚴謹完善之論述與創新獨到的見解，為我國大數據競爭法議題之學術發展貢獻一份心力。在實務方面，舉凡大數據之相關市場如何界定、大數據是否具有市場力量及進入障礙、大數據相關事業何種行為可能構成獨占地位濫用、兩家或以上大數據公司何種合作行為可能構成聯合行為、兩家或以上大數據公司合併之結合申請應該如何審查、以及大數據相關事業何種行為可能構成不公平競爭等等，皆是競爭法主管機關與數據驅動市場產業界共同關心之議題。於學術上釐清這些議題後，產業界之市場競爭才能有所依循，競爭法主管機關之行政處分與裁罰也才能有學理依據。準此，本研究計畫希望能以嚴謹之學術研究成果帶動國內大數據產業之自由競爭，同時為公平交易委員會之行政處分與裁罰提供良好的學術基礎。
dc.description.abstract (摘要) Big data is the “new oil” (the main driving force) of the digital economy. While the digital economy is booming, the acquisition and applications of big data have become the most critical factor for enterprise competition. To some extent, whether the market for digital economy can develop soundly depends on the free competition of big data among businesses. Therefore, the maintenance of the free competition order in the big data-related market has become the most important issue for the sound development of the digital economy. In the past, the legal scholars’ researches on big data legal issues focused on the protection of consumers, privacy and personal data, and paid less attention to the issue of competition law. In view of the fact that there have been many domestic and international disputes about restrictive competitions and unfair competitions derived from big data, academic research on big data competition law issues cannot be delayed. For this reason, this research project focuses on the issues of competition law for big data. The research plan is divided into three parts, the first part of which uses legal economic analysis to explore the meaning of competition law in big data. Big data has both the perspectives of promoting competition and hindering competition. The second part will explore whether the use of big data may constitute a restrictive competition. In addition to exploring the meaning of restrictive competition for big data, this section can be divided into four sub-topics, including: whether big data have market power and dominant position, whether the use of big data constitutes an abuse of monopolistic position, whether the use of big data likely constitutes a concerted action, and how should the big data business mergers be evaluated in law. The third part will explore whether the use of big data may constitute an unfair competition. In addition to exploring the meaning of unfair competition for big data, this section can be divided into two sub-topics, including: whether the big data industry is likely to constitute an unfair competition due to “deception to affect the trading order” and “significant unfair practices that affect the trading order.” This research project would fully study the competition law issues of big data in two years, including comparative law research and legal economic analysis. In practice, the following issues are common concern to the competition law authorities and the data-driven market industry: how to define the relevant market for big data, whether big data has market power and barriers to entry, what behaviors of big data businesses may constitute an abuse of monopolistic position, what kind of agreements between two big data companies may constitute a concerted action, how the merger of two big data companies should be reviewed, and what kind of behaviors of big data businesses may constitute an unfair competition. The research results of this project will provide rules for big data industries to follow and academic foundations for authorities to reference.
dc.format.extent 116 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) 科技部, MOST108-2410-H004-140-MY2, 108.08-110.07
dc.subject (關鍵詞) 大數據; 競爭法; 限制競爭; 不公平競爭
dc.subject (關鍵詞) Big Data; Competition Law; Restrictive Competition; Unfair Competition
dc.title (題名) 大數據競爭法議題之研究
dc.title (題名) Research on Big Data Competition Law
dc.type (資料類型) report