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ASSESSMENT OF EFFICIENCY IN DIGITAL ECONOMY DEVELOPMENT IN TUNISIA: A REGIONAL ANALYSIS

Authors: Hasnaowi Lamia;

ASSESSMENT OF EFFICIENCY IN DIGITAL ECONOMY DEVELOPMENT IN TUNISIA: A REGIONAL ANALYSIS

Abstract

Aim of the study: From 2009 to 2017, this study examines the impact of information and communication technology on economic growth in 24 Tunisian regions. Methodology: The DEA model and the Malmquist index (MI) were used to evaluate trends in the efficiency of digital economy growth and ICT application in 24 Tunisian regions from 2009 to 2017. Finding: The findings imply that the efficacy of ICT will eventually lead to Tunisia's economic growth. Furthermore, policymakers should focus on promoting monetary policy and distributing resources efficiently for the country's long-term growth. Practical implications: From 2009 to 2017, the DEA model and the Malmquist index were used to assess trends in the efficiency of digital economy growth and ICT use in 24 Tunisian regions. (MI). The successful approach might show Tunisian economic leaders the flaws and strengths of their national goals for digital economy growth, as well as the factors that are driving the digital divide to widen with other growing nations. Originality/value: We use the Malmquist productivity index and data envelopment analysis (DEA) to track trends in the efficacy of digital economy growth in Tunisian regions. Keywords: Economic growth, Data envelopment analysis, Digital economy, ICT Paper type: Research paper

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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