Big Data, Traceability and Information Asymmetries: Opacity, Interference and Democracy

Authors

Abstract

This paper aims two goals: on the one hand, I will study the main characteristics of the different markets linked to electronic platforms and social networks. On the other hand, I will elaborate a function of social welfare to capture the positive and negative externalities produced by the development of these markets. I will highlight the information asymmetries that characterize the dynamics of these markets and study the implications linked to the opacity of this system. In a first part, I will highlight the main characteristics of the markets linked to this digital economy. In a second part, I will study this economy in relation to a specific welfare function. In a third part, I will show to what extent new forms of information asymmetries appear in these markets, and I will study the implications in terms of social welfare, emphasizing the economic, legal and political dimensions.

 

Keywords: Digital Economy - Externalities- Social Welfare - Democracy.

JEL Codes: D86, D85, D82

Author Biography

Alain Herscovici, Programa de Pós-Graduação em Economia, Universidade Federal do Espírito Santo, Vitória, ES, Brasil.

Departamento de Economia

Programa de Pós-Graduação em Economia

Downloads

Published

2021-12-30

How to Cite

HERSCOVICI, A. Big Data, Traceability and Information Asymmetries: Opacity, Interference and Democracy. Nova Economia, [S. l.], v. 31, n. 3, p. 979–1008, 2021. Disponível em: https://revistas.face.ufmg.br/index.php/novaeconomia/article/view/6075. Acesso em: 30 jun. 2024.

Issue

Vol. 31 No. 3 (2021): Revista Nova Economia

Section

Regular Issue

License

Copyright (c) 2021 Alain Herscovici

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).