基于实质公平的中国传统知识利益共享模式

IF 0.4 4区 社会学 Q3 LAW Queen Mary Journal of Intellectual Property Pub Date : 2023-05-05 DOI:10.4337/qmjip.2023.01.04
Diligena Dilixiati, Xiaoting Song
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引用次数: 0

摘要

传统知识本身是一个活生生的知识体,它构成了其持有者文化或精神身份的一部分,也可以作为知识资源不断创造,形成新的知识,使他们能够从知识产权制度的保护中受益。近年来,通过合理的制度安排和适度的市场发展,越来越多的国家和地区正在通过公平贸易促进传统社区的可持续发展。当传统知识产品进入市场时,全球最常见的形式是通过合同分享传统知识的好处。本文以中国传统知识市场化案例为研究样本,总结出四种典型的传统知识利益共享模式。通过考虑利益相关者在不同模式下的动机、目的和谈判能力,我们发现以合同为主要方法的共同约定条件表现出实质性的不公平特征,并提出了相应的利益共享模式优化方案。核心论点是,任何传统知识产权利益共享制度都应以实质公平为主要原则,以确保传统社区的可持续发展,并为传统知识产权的国际利益共享提供中国的经验。
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Benefit-sharing model of traditional knowledge based on substantive fairness in China
Traditional knowledge itself is a living body of knowledge, which constitutes a part of its holders’ cultural or spiritual identity, and can also be continuously created as knowledge resources to form new knowledge, so that they can benefit from the protection of the intellectual property system. In recent years, through reasonable institutional arrangements and moderate market development, more and more countries and regions are promoting sustainable development of traditional communities through fair trade. When traditional knowledge products enter the market, the most common form globally is to share the benefits of traditional knowledge by contract. This article takes the case of traditional knowledge marketization in China as its research sample, summarizing four typical traditional knowledge benefit-sharing modes. By considering stakeholders’ motivation, purpose and negotiation ability in different modes, we find that the commonly agreed conditions with the contract as the main method show substantial unfairness characteristics, and put forward the corresponding optimization scheme of a benefit-sharing mode. The central argument is that substantive fairness should be the main principle of any traditional knowledge benefit-sharing system to ensure the sustainable development of traditional communities, and make the experience of China available for the international benefit sharing of conventional knowledge property.
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来源期刊
CiteScore
0.80
自引率
0.00%
发文量
10
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