ArticleHeliyon2023
Measuring the impact of the digital economy in developing countries: A systematic review and meta- analysis.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 118 citations in OpenAlex.
- Connecting the dots: internet access, income, and clean cooking energy adoption among rural households in Pakistan.Frontiers in nutrition · 2026Article
- Can the digital economy foster advancements in the healthcare sector? - a case study using interprovincial data from China.BMC public health · 2025Article
- PMHeliyon · 2024Article
- Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The digital economy, driven by Information and Communication Technology (ICT), has emerged as a significant contributor to economies worldwide. However, accurately defining and measuring its impact on national economies remains a complex endeavor. This paper explores the definition, measurement, role, and impacts of the digital economy across various economies. It also examines the involvement of governments and telecommunication regulators in assessing the digital economy and identifies future directions for developing countries. A systematic literature review utilizing the PRISMA Model is employed to investigate the factors and indices used to measure the digital economy. The findings highlight ongoing efforts to harmonize the definition and metrics; nonetheless, challenges persist due to the scarcity of appropriate datasets and variations in country-specific definitions. Additionally, the effectiveness of existing digital economy indices and toolkits in assessing the level of digitalization in developing countries is evaluated. The paper concludes that despite ongoing efforts to bridge the gaps, the concept of the digital economy remains defined and measured differently, necessitating a new definition that accounts for various contextual peculiarities. Furthermore, a roadmap is proposed to develop a toolkit that ensures comprehensive measurement, thus preventing an underestimation of the digital economy's contribution to the Gross Domestic Product (GDP) in developing countries. The paper underscores the need for international and multi-stakeholder dialogue to establish a common understanding of the digital economy's definition and measurement. Developing countries, such as Nigeria, are urged to develop or adopt new metrics tailored to their unique circumstances, facilitating an accurate and efficient quantification of the digital economy's impact on crucial indicators like GDP. Improved statistical data collection and recording methodologies are recommended for both governments and the private sector. Moreover, the paper advocates for the establishment of a Digital Economy Advisory Board (DEAB) in developing countries to maximize the benefits of the ongoing global transition to the digital economy.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.