A Qualitative Study on the Adoption of Copyright Assignment Agreements (CAA) and Copyright License Agreements (CLA) within Selected FOSS Projects

Open source software projects are multi-collaborative works incorporating the contributions of numerous developers who, in spite of publishing their code under a public license such as GPL, Apache or BSD, retain the copyright in their contributions. Having multiple copyright-owners can make the steering of a project difficult, if not impossible, as there is no ultimate authority able to take decisions relating to the maintenance and use of the project. This predicament can be remedied by centring the dispersed copyrights in a single authority via contributor agreements. Whether to introduce contributor agreements, and if so in which form, is a pressing question for many emerging, but also for established projects. The current paper provides an insight into the ethos of different projects and their reason for adopting or rejecting particular contributor agreements. It further examines the exact set-up of the contributor agreements used and concludes that smart drafting can blur the difference between CAAs and CLAs to a considerable extent, manoeuvring them into a legal grey area. To avoid costly litigation to test the legal enforceability of individual clauses, this paper proposes the establishment of an international committee comprised of developers, product managers and lawyers interested in finding a common terminology that may serve as a foundation for every contributor agreement

Clustering Assessment: Enhancing Synergies among Multilateral Environmental Agreements

Against the background of a widely fragmented and diluted international environmental governance architecture, different reform options are currently being discussed. This issue brief considers whether streamlining international environmental regimes by grouping or ‘clustering’ international agreements could improve effectiveness and efficiency. It outlines the general idea of the clustering approach, draws lessons from the chemicals and waste cluster and examines the implications and potentials of clustering multilateral environmental agreements.

European Union Meets South Korea: Bureaucratic Interests, Exporter Discrimination and the Negotiations of Trade Agreements

Who in the European Union drives the process of pursuing bilateral trade negotiations? In contrast to societal explanations, this article develops a novel argument as to how the European Commission manages the process and uses its position in strategic ways to pursue its interests. Rooted in principal–agent theory, the article discusses agent preferences and theorizes the conditions under which the agent sets specific focal points and interacts strategically with principals and third parties. The argument is discussed with case study evidence drawn from the first trade agreement concluded and ratified since the EU Commission announced its new strategy in 2006: the EU–South Korea trade agreement

The Design of International Trade Agreements: Introducing a New Dataset

Preferential trade agreements (PTAs) have been proliferating for the last twenty years. A large literature has studied various aspects of this phenomenon. Until recently, however, many large-N studies have paid only scant attention to variation across PTAs in terms of content and design. Our contribution to this literature is a new dataset on the design of trade agreements that is the most comprehensive in terms of both variables coded and agreements covered. We illustrate the dataset’s usefulness in re-visiting the questions if and to what extent PTAs impact trade flows. The analysis shows that on average PTAs increase trade flows, but that this effect is largely driven by deep agreements. In addition, we provide evidence that provisions that tackle behind-the-border regulation matter for trade flows. The dataset’s contribution is not limited to the PTA literature, however. Broader debates on topics such as institutional design and the legalization of international relations will also benefit from the novel data.