A Deep Learning Approach to Digitalization and Economic Growth

Georgescu, Irina; Androniceanu, Ane-Mari; Drăgulănescu, Irina-Virginia

doi:10.1007/978-3-031-19886-1_6

Cited by 4 publications

(2 citation statements)

References 33 publications

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“…By applying Principal Component Analysis and K-means clustering, we also examine the digital divide existing in the public administrations of EU countries. The combination of variables also used in previous research (Georgescu et al, 2023;Georgescu and Kinnunen, 2021) is important in revealing regions or countries with similar digital inequality and similar levels of government effectiveness. Also, the data were collected according to the three pillars of this research: digitalization, government effectiveness, and public administration infrastructure.…”

Section: Research Variables and Methodological Framementioning

confidence: 99%

Public Administration Digitalization and Government Effectiveness in EU Countries

Androniceanu

Georgescu

2023

CEPAR

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Purpose: This study continues the series of previous research carried out by the authors on the digital transformation in EU countries. It aims to identify and analyse the progress made by EU administrations in terms of digitization and effective governance in the period 2019–2021. Design/methodology/approach: Based on selected variables from Eurostat and the World Bank databases, the article provides insights into the dynamic changes that occurred in the EU in the period under consideration. The research employs Principal Component Analysis (PCA) and K-means clustering as the primary research methods to analyse the variations and correlations among 10 numerical variables selected from Eurostat and World Bank databases. Findings and Practical Implications: The results obtained through PCA show the impact of digitalization on government effectiveness. A comprehensive analysis of government effectiveness has been conducted using PCA, which reveals that the first two principal components account for 77.05% of the initial variance. A K-means clustering with four clusters reveals that the most significant and noteworthy increase in digitalization and government effectiveness in the EU is achieved by the Nordic countries, which exhibit high levels of digitalization and government efficiency. Originality: In this ranking, clusters 2 and 3 comprise well-developed countries with a positive relation between governmental digitalization and efficiency, while cluster 4 consists of emerging countries where the correlation between digitization and governmental efficiency is low or very low, which is primarily attributed to the limited degree of digitization within government institutions.

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Section: Research Variables and Methodological Framementioning

confidence: 99%

Public Administration Digitalization and Government Effectiveness in EU Countries

Androniceanu

Georgescu

2023

CEPAR

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“…Studi yang dilakukan bertujuan untuk mencari hubungan antara digitalisasi dengan pertumbuhan negara-negara Eropa pada periode 2019-2021. Metode pembelajaran mendalam dan analisis komponen utama digunakan karena kedua teknik dinilai efisien untuk meningkatkan akurasi klasifikasi untuk kumpulan negara UE yang diklasifikasikan menurut Ekonomi Digital dan Indeks Masyarakat (Georgescu, Androniceanu and Drăgulănescu, 2023).…”

Section: Pendekatan Deep Learning Terhadap Digitalisasi Dan Pertumbuh...unclassified

Hubungan antara Digitalisasi dan Model Bisnis

Elim¹

2023

Preprint

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Interdependence of the banking system development and the economic growth in the context of digitalization: Case study of Azerbaijan and its key trading partners

Tagiyeva,

Babashirinova,

Agabekova

et al. 2023

Banks and Bank Systems

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When choosing a country as a trading partner, an important role is played by the speed, convenience, and reliability of banking services (this is primarily determined by the level of digitalization of banking activities), and the general level of economic growth of this country. The article analyzes the relationship between the efficiency of the banking system and the country’s economic growth under digitalization using the example of Azerbaijan and its key trading partners. Calculations were made using data for 2010–2021 based on World Bank, IMF, and UN statistics. Principal component analysis was used to identify the most relevant indicators that describe the stability of the banking system, the level of economic development of the country, and the level of digitalization; the method of structural modeling was used to identify functional relationships between the constructed synthetic generalizing indicators. Calculations showed that the development of the banking system is much more (almost seven times) influenced by the level of digitalization in the country than the level of economic growth (coefficients for synthetic generalizing indicators formed in the process of structural modeling are 0.29 and 0.04). Modeling proved that the focus of reforms aimed at increasing the level of digitalization in the country should be an increase in the number of electronic accounts, electronic payments, the share of the population using the Internet, growth of R&amp;D expenditures, and innovation index.

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A Deep Learning Approach to Digitalization and Economic Growth

Cited by 4 publications

References 33 publications

Public Administration Digitalization and Government Effectiveness in EU Countries

Public Administration Digitalization and Government Effectiveness in EU Countries

Hubungan antara Digitalisasi dan Model Bisnis

Interdependence of the banking system development and the economic growth in the context of digitalization: Case study of Azerbaijan and its key trading partners

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