The ‘internet’—familiar shorthand for information and communication technologies (ICT)—is built on a physical infrastructure owned by a variety of state and private actors, foreign and domestic, with multiple interests. It has not only driven change on a global scale; its spread also had a profound impact on the social sciences. However, our understanding of how its architecture, and especially its owners, influence its political and economic impact is still in its infancy. This paper presents the Telecommunications Ownership and Control (TOSCO) dataset on ownership of internet service providers (ISPs) that allows to recognize the internet as strategically built and used by governments and corporations. Along with a thorough discussion of the conceptualization and operationalization of ownership as a variable, the TOSCO dataset enables comparative large-N analysis of the determinants and effects of varying ownership structures and identities in the transforming context of 49 African countries, 2000–2019. We demonstrate its usefulness with descriptive statistics and regression analyses using replication data from research on the internet’s democratizing and corruption-reducing effects. In allowing for a more realistic account, TOSCO supports scholars and practitioners concerned with the determinants and effects of internet service provision, use and control in Africa and beyond.
In the late 1990s, Jordan and Morocco revised their telecommunications regulation drastically. Though these regulations were first largely inspired by the European Union policy models, each country gradually developed more autonomy, individually tailoring their regulatory frameworks overtime. The case of Universal Service Obligation (USO) policies show that while Jordan remained aligned with the European Union, Moroccan policy-makers diverged from the European Union by adopting alternative policies, inspired by the Latin American reverse-auction models. Research focusing on Euro-Mediterranean regulatory contexts commonly expect neighbouring countries to converge with EU regulatory models. Yet, borrowing on policy diffusion literature and specifically the mechanisms of learning and imitation, this article shows that policy-takers intentionally decided on the (non)adoption of USO policies. Thus, research needs to take the role of policy-takers seriously and acknowledge avenues for bidirectional convergence.
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