Subtopic Deep Dive
Digital Economy and Sustainable Development
Research Guide
What is Digital Economy and Sustainable Development?
Digital Economy and Sustainable Development examines how digital infrastructures, e-commerce, and big data drive sustainable development goals while quantifying environmental impacts and inclusive growth.
This subtopic analyzes metrics for digitalization across economy, society, industry, enterprise, and clients (Kotarba, 2017, 166 citations). Studies use panel regression on EU Digital Economy and Society Index data from 2013-2018 to assess digital development influences (Stavytskyy et al., 2019, 114 citations). Recent work explores digital economy spillovers on energy consumption in regions like Beijing-Tianjin-Hebei (Duan and Sun, 2024, 9 citations).
Why It Matters
Kotarba (2017) provides metrics enabling policymakers to track digital progress toward SDGs in e-commerce and innovation ecosystems. Stavytskyy et al. (2019) reveal DESI factors guiding EU green digital policies balancing growth and environmental footprints. Duan and Sun (2024) quantify technology spillovers reducing energy intensity, informing sustainable strategies in developing regions like China. Araste et al. (2013) highlight SME e-commerce adoption barriers, supporting inclusive digital growth in industrial towns.
Key Research Challenges
Measuring Digitalization Levels
Developing consistent metrics across economy to client levels remains difficult due to varying data availability (Kotarba, 2017). Panel regressions on DESI show inconsistencies in EU countries from 2013-2018 (Stavytskyy et al., 2019). Regional disparities complicate uniform assessment (Levchenko, 2021).
Quantifying Energy Spillovers
Empirical models struggle to isolate digital economy effects on energy consumption amid confounding factors (Duan and Sun, 2024). Studies in Beijing-Tianjin-Hebei reveal spillover mechanisms but lack generalizability. Multi-stakeholder barriers in e-learning models highlight similar quantification issues (To Nguyen et al., 2020).
SME E-commerce Adoption Barriers
Manager perspectives in industrial towns identify adoption hurdles for SMEs (Araste et al., 2013). Digital transformation in early education faces platform interaction challenges (Anh and Hà, 2022). Ranking methods like Chang's Extent Analysis aid but require multi-stakeholder integration (To Nguyen et al., 2020).
Essential Papers
Measuring Digitalization – Key Metrics
Marcin Kotarba · 2017 · Foundations of Management · 166 citations
Abstract The article covers an analysis of metrics used to measure digitalization activities. Five main levels are analyzed - moving from the metrics of the digital economy to society, industry, en...
The Analysis of the Digital Economy and Society Index in the EU
Andriy Stavytskyy, Ganna Kharlamova, Eduard Alexandru Stoıca · 2019 · Baltic Journal of European Studies · 114 citations
Abstract The paper analyzes the Digital Economy and Society Index (DESI), which characterizes the development of digital economy. Based on the data of 28 European countries for 2013–2018, using the...
Application Chang's Extent Analysis Method for Ranking Barriers in the E-Learning Model Based on Multi-Stakeholder Decision Making
Quyen Le Hoang Thuy To Nguyen, Phong Thanh Nguyen, Vy Dang Bich Huynh et al. · 2020 · Universal Journal of Educational Research · 26 citations
E-learning success model is a crucial topic, especially in the context of the Fourth Industry with artificial intelligence and virtual reality in developing countries.In practice, it is a combinati...
Research on Technology Spillover of Digital Economy Affecting Energy Consumption Intensity in Beijing–Tianjin–Hebei Region
Huayang Duan, Xuesong Sun · 2024 · Sustainability · 9 citations
As a new economic paradigm, the digital economy is critical to economic growth and environmental protection. This paper empirically explores the impact of the digital economy on regional energy con...
Digital economy of China: level and factors of development
T.A. Levchenko · 2021 · VESTNIK OF ASTRAKHAN STATE TECHNICAL UNIVERSITY SERIES ECONOMICS · 4 citations
The article considers the active development and significant impact of digital technologies on people’s lives, functioning of enterprises in various sectors of the economy and government agencies. ...
The Factors Affecting the E-commerce Adoption in SMEs in the Industrial Towns of Zanjan-Iran: Managers` Perspectives
Ali Reza Araste, Ali Mansouri, Mostafa Jafari · 2013 · International Journal of Academic Research in Business and Social Sciences · 4 citations
Today, small and medium-sized enterprises have a large share in the industrial activities at various countries of the world. Also, small and medium-sized enterprises in the industrial towns of Zanj...
Digitalization in early childhood education in Vietnam
Truong Ngoc Anh, Nguyễn Thị Thu Hà · 2022 · International journal of social sciences · 2 citations
Digital transformation is the process of transforming interactions between actors on a traditional platform to interactions on a digital platform. This is the revolution that takes digitization or ...
Reading Guide
Foundational Papers
Start with Araste et al. (2013) for SME e-commerce adoption barriers in industrial contexts and Singer (1996) for early interorganizational ICT networking implications in local government.
Recent Advances
Study Stavytskyy et al. (2019) on EU DESI regressions, Duan and Sun (2024) on digital spillovers to energy, and Călinescu and Drăgan (2025) for Romania-Baltics digital comparisons.
Core Methods
Panel regression (Stavytskyy et al., 2019), Chang's Extent Analysis (To Nguyen et al., 2020), technology spillover empirics (Duan and Sun, 2024), and multi-level digitalization metrics (Kotarba, 2017).
How PapersFlow Helps You Research Digital Economy and Sustainable Development
Discover & Search
Research Agent uses searchPapers on 'digital economy energy consumption' to find Duan and Sun (2024), then citationGraph reveals 9 forward citations on spillovers, and findSimilarPapers uncovers Stavytskyy et al. (2019) for EU comparisons.
Analyze & Verify
Analysis Agent applies readPaperContent to Kotarba (2017) metrics, runs runPythonAnalysis with pandas to replicate DESI panel regressions from Stavytskyy et al. (2019), and verifyResponse via CoVe with GRADE grading confirms energy spillover claims in Duan and Sun (2024).
Synthesize & Write
Synthesis Agent detects gaps in SME adoption post-Araste et al. (2013), flags contradictions between Levchenko (2021) China levels and EU DESI, then Writing Agent uses latexEditText, latexSyncCitations for Kotarba (2017), and latexCompile for policy report with exportMermaid diagrams of digitalization levels.
Use Cases
"Replicate energy intensity regression from Duan and Sun 2024 using Python."
Research Agent → searchPapers → Analysis Agent → readPaperContent + runPythonAnalysis (pandas regression on Beijing-Tianjin-Hebei data) → matplotlib plot of spillovers.
"Write LaTeX review comparing DESI in EU vs China digital economy."
Research Agent → exaSearch DESI → Synthesis Agent → gap detection → Writing Agent → latexEditText + latexSyncCitations (Stavytskyy et al. 2019, Levchenko 2021) → latexCompile PDF.
"Find GitHub repos implementing Chang's Extent Analysis for e-learning barriers."
Research Agent → searchPapers To Nguyen 2020 → Code Discovery → paperExtractUrls → paperFindGithubRepo → githubRepoInspect → runnable multi-criteria decision code.
Automated Workflows
Deep Research workflow conducts systematic review of 50+ digital economy papers via searchPapers on SDGs, citationGraph clustering Kotarba (2017) metrics with DESI studies, outputting structured CSV report. DeepScan applies 7-step analysis with CoVe checkpoints to verify Duan and Sun (2024) spillovers against Stavytskyy et al. (2019). Theorizer generates theory linking e-commerce adoption (Araste et al., 2013) to sustainable development from literature synthesis.
Frequently Asked Questions
What defines Digital Economy and Sustainable Development?
It links digital infrastructures like e-commerce and big data to SDGs, quantifying environmental footprints and growth potentials (Kotarba, 2017; Stavytskyy et al., 2019).
What methods are used?
Panel regression on DESI data (Stavytskyy et al., 2019), Chang's Extent Analysis for barriers (To Nguyen et al., 2020), and spillover models for energy intensity (Duan and Sun, 2024).
What are key papers?
Kotarba (2017, 166 citations) on metrics, Stavytskyy et al. (2019, 114 citations) on EU DESI, Duan and Sun (2024) on energy spillovers.
What open problems exist?
Generalizing regional spillover effects beyond Beijing-Tianjin-Hebei (Duan and Sun, 2024), overcoming SME adoption barriers (Araste et al., 2013), and standardizing metrics across contexts (Kotarba, 2017).
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