Impact of the digital divide on sustainable development and competitiveness

An approach based on advanced machine learning techniques

Authors

Keywords:

digital divide, sustainable development, competitiveness, machine learning

Abstract

The development of the contemporary economy and society largely depends on fundamental elements such as digital skills among citizens and the adoption of digital technologies among companies. In this sense, this article reviews the details of a study whose main objectives were: to know the key socioeconomic factors of the digital divide among Spanish citizens; identify the aspects of the digital economy and society most associated with the sustainable development of the countries of the European Union; evaluate the relationship between digitization and their average productivity; as well as studying the relationship between patents in digital technologies and R&D, and economic development and productivity; analyze to what extent digital transformation favors the achievement of Sustainable Development Objectives related to per capita income, equality and competitiveness. To achieve these objectives, the data analysis methodology was used based on the application of an artificial intelligence technique based on machine learning, as well as classification and regression trees. In general, the most important results show that the most relevant socioeconomic factors linked to the social digital divide are the person's age, educational level and occupation; Likewise, it was shown that the level of digital skills of the population of European countries is a variable closely associated with their level of per capita income, equality and productivity.

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Author Biography

José Gesto Rodríguez, Investigador independiente. Madrid – España

Dr. Economía, Dr. Alta Dirección, Pos Doctor en Ingenieria, Dr. en Gobierno y AA PP. Investigador independiente. Madrid – España.

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Published

2024-06-27

How to Cite

Gesto Rodríguez, J. (2024). Impact of the digital divide on sustainable development and competitiveness: An approach based on advanced machine learning techniques. Revista Honoris Causa, 16(1), 54–71. Retrieved from https://revista.uny.edu.ve/ojs/index.php/honoris-causa/article/view/386

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Section

Scientific articles