3 Articles · 3 Papers Planned · 2026–ongoing · Ongoing
Abstract
This research series investigates the joint effects of fiscal policy (tax burden) and state digitalization (informatization) on the dynamics of Ukraine’s shadow economy. Using scenario analysis and game-theoretic frameworks accessible to second-year economic cybernetics students, we model three plausible futures for Ukraine’s informal sector under varying tax and digitalization regimes. The series synthesizes World Bank governance indicators, IMF shadow economy estimates, and Ukrainian State Statistics Service data with the Diia digital governance platform metrics, producing actionable policy recommendations for shadow economy reduction during wartime reconstruction and EU accession preparation.
Idea and Motivation
Ukraine’s shadow economy remains among the largest in Europe, estimated at 30–45% of GDP. Two forces push in opposite directions: tax burden drives economic activity underground, while digitalization of state services — the Diia platform, e-invoicing, cashless payments — increases transparency and raises the cost of informality. No existing study models their joint interaction using accessible quantitative methods suitable for economic cybernetics curricula.
This gap matters for two reasons. First, Ukraine’s EU accession process requires fiscal convergence, including measurable reduction of the informal sector. Second, wartime reconstruction will depend on tax revenue mobilization — understanding how digitalization can substitute for punitive taxation in reducing shadow activity is directly policy-relevant.
Goal
Produce a 3-paper series that (1) maps the problem landscape with descriptive statistics covering 2015–2025, (2) models three scenarios using game theory and scenario analysis with payoff matrices for government vs. informal-sector actors, and (3) derives policy recommendations with a decision framework integrating comparative analysis of Estonia, Georgia, and Poland — three post-socialist economies that have achieved significant shadow economy reductions through different policy mixes.
Scope
The series covers 3 papers across three complementary phases:
Table 1. Paper structure and thematic coverage
Paper Focus Area Key Topics
1 Problem Landscape Problem statement, literature review (Schneider, Medina), descriptive statistics on tax-to-GDP ratio and shadow economy estimates 2015–2025, Diia platform adoption metrics
2 Scenario Modelling Three-scenario analysis (high tax/low digital, balanced, low tax/high digital), game-theoretic payoff matrices for government vs. informal sector, Nash equilibrium identification
3 Policy and Comparison Comparative analysis (Estonia, Georgia, Poland), policy recommendations, integration with geopolitical risk monitoring, EU accession fiscal requirements, projections to 2030
Focus
The primary analytical focus spans six areas: tax-to-GDP ratio dynamics in Ukraine and peer economies; shadow economy estimation methods following the Schneider–Medina MIMIC approach; Ukraine’s Diia digital governance platform as a transparency mechanism; game theory applied to government–informal sector interaction; scenario analysis methodology for policy evaluation; and EU accession fiscal requirements as external constraints on Ukrainian fiscal policy.
The methodological approach is deliberately accessible — designed for second-year economic cybernetics students while remaining analytically rigorous. Game-theoretic models use simplified 2×2 and 3×3 payoff matrices rather than continuous strategy spaces, making the framework reproducible in educational settings.
Limitations
Estimation uncertainty Shadow economy estimates are inherently uncertain, with margins of ±5–10% of GDP across methodologies. Results should be interpreted as directional, not precise.
Wartime data gaps Reliable economic statistics for 2022–2024 are limited due to wartime disruption. The series acknowledges and documents these gaps explicitly.
Model simplification Game-theoretic models use simplified payoff structures. Real-world actors face richer strategy spaces and information asymmetries than captured here.
Public data only No proprietary fiscal data is used. All sources are publicly available (World Bank, IMF, State Statistics Service, Diia reports).
Scientific Value
The series makes four contributions. First, it provides the first joint analysis of tax burden and informatization effects on the Ukrainian shadow economy — existing studies treat these factors in isolation. Second, it develops an accessible game-theoretic framework suitable for economic cybernetics education, bridging the gap between advanced research methods and undergraduate curricula. Third, it produces scenario projections to 2030 under varying policy regimes, providing a structured basis for policy evaluation. Fourth, the work is directly policy-relevant during Ukraine’s EU accession preparation, where fiscal transparency metrics are a core assessment criterion.
Resources
Status
Ongoing. All 3 papers published. Series complete.
Published Articles Applied Research · 27 published
Analysis based on publicly available Ukrainian fiscal and governance data.
All Articles
1 Tax Burden, Digitalization, and Shadow Economy in Ukraine: A Problem Landscape (2015–2025) DOI 10/10 44 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 0% ○ ≥80% from editorially reviewed sources [t] Trusted 47% ○ ≥80% from verified, high-quality sources [a] DOI 35% ○ ≥80% have a Digital Object Identifier [b] CrossRef 12% ○ ≥80% indexed in CrossRef [i] Indexed 24% ○ ≥80% have metadata indexed [l] Academic 35% ○ ≥80% from journals/conferences/preprints [f] Free Access 71% ○ ≥80% are freely accessible [r] References 17 refs ✓ Minimum 10 references required [w] Words [REQ] 2,017 ✓ Minimum 2,000 words for a full research article. Current: 2,017 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19008827 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 5% ✗ ≥60% of references from 2025–2026. Current: 5% [c] Data Charts 0 ○ Original data charts from reproducible analysis (min 2). Current: 0 [g] Code — ○ Source code available on GitHub [m] Diagrams 3 ✓ Mermaid architecture/flow diagrams. Current: 3 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (39 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
Applied Research · Mar 13, 2026 · 10 min read
2 Scenario Analysis: Modeling Three Futures for Ukraine's Shadow Economy (2025–2030) DOI 7/10 49 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 0% ○ ≥80% from editorially reviewed sources [t] Trusted 55% ○ ≥80% from verified, high-quality sources [a] DOI 55% ○ ≥80% have a Digital Object Identifier [b] CrossRef 9% ○ ≥80% indexed in CrossRef [i] Indexed 27% ○ ≥80% have metadata indexed [l] Academic 45% ○ ≥80% from journals/conferences/preprints [f] Free Access 82% ✓ ≥80% are freely accessible [r] References 11 refs ✓ Minimum 10 references required [w] Words [REQ] 2,248 ✓ Minimum 2,000 words for a full research article. Current: 2,248 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19016584 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 17% ✗ ≥60% of references from 2025–2026. Current: 17% [c] Data Charts 0 ○ Original data charts from reproducible analysis (min 2). Current: 0 [g] Code — ○ Source code available on GitHub [m] Diagrams 3 ✓ Mermaid architecture/flow diagrams. Current: 3 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (48 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
Applied Research · Mar 14, 2026 · 11 min read
3 Policy Implications and a Decision Framework for Shadow Economy Reduction in Ukraine DOI 7/10 59 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 4% ○ ≥80% from editorially reviewed sources [t] Trusted 87% ✓ ≥80% from verified, high-quality sources [a] DOI 39% ○ ≥80% have a Digital Object Identifier [b] CrossRef 9% ○ ≥80% indexed in CrossRef [i] Indexed 83% ✓ ≥80% have metadata indexed [l] Academic 39% ○ ≥80% from journals/conferences/preprints [f] Free Access 74% ○ ≥80% are freely accessible [r] References 23 refs ✓ Minimum 10 references required [w] Words [REQ] 2,071 ✓ Minimum 2,000 words for a full research article. Current: 2,071 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19016590 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 13% ✗ ≥60% of references from 2025–2026. Current: 13% [c] Data Charts 0 ○ Original data charts from reproducible analysis (min 2). Current: 0 [g] Code — ○ Source code available on GitHub [m] Diagrams 2 ✓ Mermaid architecture/flow diagrams. Current: 2 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (64 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
Applied Research · Mar 14, 2026 · 10 min read
4 Tax Evasion Mechanisms in Ukraine: A Typology of Shadow Economy Channels DOI 7/10 55 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 35% ○ ≥80% from editorially reviewed sources [t] Trusted 48% ○ ≥80% from verified, high-quality sources [a] DOI 52% ○ ≥80% have a Digital Object Identifier [b] CrossRef 35% ○ ≥80% indexed in CrossRef [i] Indexed 48% ○ ≥80% have metadata indexed [l] Academic 52% ○ ≥80% from journals/conferences/preprints [f] Free Access 91% ✓ ≥80% are freely accessible [r] References 23 refs ✓ Minimum 10 references required [w] Words [REQ] 2,522 ✓ Minimum 2,000 words for a full research article. Current: 2,522 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19229248 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 50% ✗ ≥60% of references from 2025–2026. Current: 50% [c] Data Charts 4 ✓ Original data charts from reproducible analysis (min 2). Current: 4 [g] Code — ○ Source code available on GitHub [m] Diagrams 3 ✓ Mermaid architecture/flow diagrams. Current: 3 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (53 × 60%) + Required (3/5 × 30%) + Optional (2/4 × 10%)
Applied Research · Mar 26, 2026 · 13 min read
5 Digital Payment Adoption and Shadow Economy Reduction: Evidence from Ukraine's Diia Platform DOI 7/10 51 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 24% ○ ≥80% from editorially reviewed sources [t] Trusted 52% ○ ≥80% from verified, high-quality sources [a] DOI 33% ○ ≥80% have a Digital Object Identifier [b] CrossRef 24% ○ ≥80% indexed in CrossRef [i] Indexed 38% ○ ≥80% have metadata indexed [l] Academic 52% ○ ≥80% from journals/conferences/preprints [f] Free Access 76% ○ ≥80% are freely accessible [r] References 21 refs ✓ Minimum 10 references required [w] Words [REQ] 2,363 ✓ Minimum 2,000 words for a full research article. Current: 2,363 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19242241 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 40% ✗ ≥60% of references from 2025–2026. Current: 40% [c] Data Charts 4 ✓ Original data charts from reproducible analysis (min 2). Current: 4 [g] Code — ○ Source code available on GitHub [m] Diagrams 3 ✓ Mermaid architecture/flow diagrams. Current: 3 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (47 × 60%) + Required (3/5 × 30%) + Optional (2/4 × 10%)
Applied Research · Mar 26, 2026 · 12 min read
6 Regional Disparities in Ukraine's Shadow Economy: An Oblasts-Level Analysis 2015–2025 DOI 6/10 69 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 47% ○ ≥80% from editorially reviewed sources [t] Trusted 73% ○ ≥80% from verified, high-quality sources [a] DOI 73% ○ ≥80% have a Digital Object Identifier [b] CrossRef 53% ○ ≥80% indexed in CrossRef [i] Indexed 80% ✓ ≥80% have metadata indexed [l] Academic 73% ○ ≥80% from journals/conferences/preprints [f] Free Access 100% ✓ ≥80% are freely accessible [r] References 15 refs ✓ Minimum 10 references required [w] Words [REQ] 2,086 ✓ Minimum 2,000 words for a full research article. Current: 2,086 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19258692 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 8% ✗ ≥60% of references from 2025–2026. Current: 8% [c] Data Charts 4 ✓ Original data charts from reproducible analysis (min 2). Current: 4 [g] Code — ○ Source code available on GitHub [m] Diagrams 3 ✓ Mermaid architecture/flow diagrams. Current: 3 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (77 × 60%) + Required (3/5 × 30%) + Optional (2/4 × 10%)
Applied Research · Mar 27, 2026 · 10 min read
7 VAT Gap Estimation for Ukraine: Methodology and Cross-Country Comparison DOI 10/10 48 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 11% ○ ≥80% from editorially reviewed sources [t] Trusted 37% ○ ≥80% from verified, high-quality sources [a] DOI 32% ○ ≥80% have a Digital Object Identifier [b] CrossRef 16% ○ ≥80% indexed in CrossRef [i] Indexed 37% ○ ≥80% have metadata indexed [l] Academic 32% ○ ≥80% from journals/conferences/preprints [f] Free Access 100% ✓ ≥80% are freely accessible [r] References 19 refs ✓ Minimum 10 references required [w] Words [REQ] 2,471 ✓ Minimum 2,000 words for a full research article. Current: 2,471 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19281632 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 47% ✗ ≥60% of references from 2025–2026. Current: 47% [c] Data Charts 4 ✓ Original data charts from reproducible analysis (min 2). Current: 4 [g] Code ✓ ✓ Source code available on GitHub [m] Diagrams 3 ✓ Mermaid architecture/flow diagrams. Current: 3 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (38 × 60%) + Required (3/5 × 30%) + Optional (3/4 × 10%)
Applied Research · Mar 28, 2026 · 12 min read
— Real-Time Shadow Economy Indicators — Building a Dashboard from Open Data (Draft — in preparation)
— Post-War Tax Reform Blueprint — Designing Ukraine's Next-Generation Fiscal System (Draft — in preparation)
— Defense Procurement Transparency — Audit Frameworks for Wartime Spending (Draft — in preparation)
— Humanitarian Aid Diversion — Modeling Leakage Channels and Mitigation Strategies (Draft — in preparation)
— Reconstruction Economics — Preventing Shadow Economy Capture of Rebuilding Funds (Draft — in preparation)
— Blockchain-Based Tax Compliance — Smart Contracts for Automated VAT Collection (Draft — in preparation)
— Neural Network Estimation of Shadow Economy Size — Improving on MIMIC Models (Draft — in preparation)
— Labor Market Informality — Wage Underreporting and Social Insurance Evasion (Draft — in preparation)
8 VAT Gap Estimation for Ukraine \u2014 Methodology and Cross-Country Comparison DOI 5/10 43 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 6% ○ ≥80% from editorially reviewed sources [t] Trusted 50% ○ ≥80% from verified, high-quality sources [a] DOI 13% ○ ≥80% have a Digital Object Identifier [b] CrossRef 6% ○ ≥80% indexed in CrossRef [i] Indexed 13% ○ ≥80% have metadata indexed [l] Academic 19% ○ ≥80% from journals/conferences/preprints [f] Free Access 94% ✓ ≥80% are freely accessible [r] References 16 refs ✓ Minimum 10 references required [w] Words [REQ] 1,259 ✗ Minimum 2,000 words for a full research article. Current: 1,259 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19478897 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 60% ✓ ≥60% of references from 2025–2026. Current: 60% [c] Data Charts 5 ✓ Original data charts from reproducible analysis (min 2). Current: 5 [g] Code ✓ ✓ Source code available on GitHub [m] Diagrams 3 ✓ Mermaid architecture/flow diagrams. Current: 3 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (29 × 60%) + Required (3/5 × 30%) + Optional (3/4 × 10%)
Applied Research · Apr 9, 2026 · 6 min read
9 Labor Market Informality — Wage Underreporting and Social Insurance Evasion DOI 7/10 61 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 12% ○ ≥80% from editorially reviewed sources [t] Trusted 81% ✓ ≥80% from verified, high-quality sources [a] DOI 31% ○ ≥80% have a Digital Object Identifier [b] CrossRef 15% ○ ≥80% indexed in CrossRef [i] Indexed 15% ○ ≥80% have metadata indexed [l] Academic 50% ○ ≥80% from journals/conferences/preprints [f] Free Access 85% ✓ ≥80% are freely accessible [r] References 26 refs ✓ Minimum 10 references required [w] Words [REQ] 3,403 ✓ Minimum 2,000 words for a full research article. Current: 3,403 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19482013 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 75% ✓ ≥60% of references from 2025–2026. Current: 75% [c] Data Charts 5 ✓ Original data charts from reproducible analysis (min 2). Current: 5 [g] Code ✓ ✓ Source code available on GitHub [m] Diagrams 2 ✓ Mermaid architecture/flow diagrams. Current: 2 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (49 × 60%) + Required (4/5 × 30%) + Optional (3/4 × 10%)
Applied Research · Apr 9, 2026 · 17 min read
10 Estonia's Digital Transformation — Lessons for Ukraine's Shadow Economy Reduction DOI 5/10 48 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 4% ○ ≥80% from editorially reviewed sources [t] Trusted 83% ✓ ≥80% from verified, high-quality sources [a] DOI 9% ○ ≥80% have a Digital Object Identifier [b] CrossRef 4% ○ ≥80% indexed in CrossRef [i] Indexed 4% ○ ≥80% have metadata indexed [l] Academic 22% ○ ≥80% from journals/conferences/preprints [f] Free Access 100% ✓ ≥80% are freely accessible [r] References 23 refs ✓ Minimum 10 references required [w] Words [REQ] 1,891 ✗ Minimum 2,000 words for a full research article. Current: 1,891 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19484648 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 75% ✓ ≥60% of references from 2025–2026. Current: 75% [c] Data Charts 3 ✓ Original data charts from reproducible analysis (min 2). Current: 3 [g] Code ✓ ✓ Source code available on GitHub [m] Diagrams 3 ✓ Mermaid architecture/flow diagrams. Current: 3 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (37 × 60%) + Required (3/5 × 30%) + Optional (3/4 × 10%)
Applied Research · Apr 9, 2026 · 9 min read
11 Georgia's Tax Reform Miracle: Flat Tax Impact on Shadow Economy DOI 6/10 42 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 0% ○ ≥80% from editorially reviewed sources [t] Trusted 67% ○ ≥80% from verified, high-quality sources [a] DOI 28% ○ ≥80% have a Digital Object Identifier [b] CrossRef 0% ○ ≥80% indexed in CrossRef [i] Indexed 0% ○ ≥80% have metadata indexed [l] Academic 33% ○ ≥80% from journals/conferences/preprints [f] Free Access 94% ✓ ≥80% are freely accessible [r] References 18 refs ✓ Minimum 10 references required [w] Words [REQ] 1,479 ✗ Minimum 2,000 words for a full research article. Current: 1,479 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19484870 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 31% ✗ ≥60% of references from 2025–2026. Current: 31% [c] Data Charts 4 ✓ Original data charts from reproducible analysis (min 2). Current: 4 [g] Code ✓ ✓ Source code available on GitHub [m] Diagrams 3 ✓ Mermaid architecture/flow diagrams. Current: 3 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (37 × 60%) + Required (2/5 × 30%) + Optional (3/4 × 10%)
Applied Research · Apr 9, 2026 · 7 min read
12 Poland's Digitalization Strategy in Tax Administration: Impact Assessment of JPK and Split Payment Mechanisms DOI 4/10 42 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 0% ○ ≥80% from editorially reviewed sources [t] Trusted 63% ○ ≥80% from verified, high-quality sources [a] DOI 6% ○ ≥80% have a Digital Object Identifier [b] CrossRef 0% ○ ≥80% indexed in CrossRef [i] Indexed 0% ○ ≥80% have metadata indexed [l] Academic 19% ○ ≥80% from journals/conferences/preprints [f] Free Access 81% ✓ ≥80% are freely accessible [r] References 16 refs ✓ Minimum 10 references required [w] Words [REQ] 1,929 ✗ Minimum 2,000 words for a full research article. Current: 1,929 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19486374 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 67% ✓ ≥60% of references from 2025–2026. Current: 67% [c] Data Charts 4 ✓ Original data charts from reproducible analysis (min 2). Current: 4 [g] Code ✓ ✓ Source code available on GitHub [m] Diagrams 2 ✓ Mermaid architecture/flow diagrams. Current: 2 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (28 × 60%) + Required (3/5 × 30%) + Optional (3/4 × 10%)
Applied Research · Apr 9, 2026 · 10 min read
13 Post-Conflict Shadow Economies — Evidence from Bosnia, Croatia, and Kosovo DOI 5/10 45 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 0% ○ ≥80% from editorially reviewed sources [t] Trusted 67% ○ ≥80% from verified, high-quality sources [a] DOI 13% ○ ≥80% have a Digital Object Identifier [b] CrossRef 0% ○ ≥80% indexed in CrossRef [i] Indexed 0% ○ ≥80% have metadata indexed [l] Academic 33% ○ ≥80% from journals/conferences/preprints [f] Free Access 93% ✓ ≥80% are freely accessible [r] References 15 refs ✓ Minimum 10 references required [w] Words [REQ] 1,855 ✗ Minimum 2,000 words for a full research article. Current: 1,855 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19487663 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 67% ✓ ≥60% of references from 2025–2026. Current: 67% [c] Data Charts 3 ✓ Original data charts from reproducible analysis (min 2). Current: 3 [g] Code ✓ ✓ Source code available on GitHub [m] Diagrams 3 ✓ Mermaid architecture/flow diagrams. Current: 3 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (33 × 60%) + Required (3/5 × 30%) + Optional (3/4 × 10%)
Applied Research · Apr 9, 2026 · 9 min read
14 EU Accession Conditionality and Shadow Economy Reform — A Systematic Review DOI 4/10 45 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 6% ○ ≥80% from editorially reviewed sources [t] Trusted 59% ○ ≥80% from verified, high-quality sources [a] DOI 12% ○ ≥80% have a Digital Object Identifier [b] CrossRef 6% ○ ≥80% indexed in CrossRef [i] Indexed 6% ○ ≥80% have metadata indexed [l] Academic 35% ○ ≥80% from journals/conferences/preprints [f] Free Access 82% ✓ ≥80% are freely accessible [r] References 17 refs ✓ Minimum 10 references required [w] Words [REQ] 1,488 ✗ Minimum 2,000 words for a full research article. Current: 1,488 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19500718 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 62% ✓ ≥60% of references from 2025–2026. Current: 62% [c] Data Charts 3 ✓ Original data charts from reproducible analysis (min 2). Current: 3 [g] Code ✓ ✓ Source code available on GitHub [m] Diagrams 3 ✓ Mermaid architecture/flow diagrams. Current: 3 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (33 × 60%) + Required (3/5 × 30%) + Optional (3/4 × 10%)
Applied Research · Apr 10, 2026 · 7 min read
15 Agent-Based Modeling of Tax Compliance — Simulating Government-Citizen Interactions DOI 6/10 50 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 0% ○ ≥80% from editorially reviewed sources [t] Trusted 75% ○ ≥80% from verified, high-quality sources [a] DOI 19% ○ ≥80% have a Digital Object Identifier [b] CrossRef 0% ○ ≥80% indexed in CrossRef [i] Indexed 0% ○ ≥80% have metadata indexed [l] Academic 56% ○ ≥80% from journals/conferences/preprints [f] Free Access 94% ✓ ≥80% are freely accessible [r] References 16 refs ✓ Minimum 10 references required [w] Words [REQ] 1,958 ✗ Minimum 2,000 words for a full research article. Current: 1,958 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19534434 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 62% ✓ ≥60% of references from 2025–2026. Current: 62% [c] Data Charts 3 ✓ Original data charts from reproducible analysis (min 2). Current: 3 [g] Code ✓ ✓ Source code available on GitHub [m] Diagrams 2 ✓ Mermaid architecture/flow diagrams. Current: 2 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (41 × 60%) + Required (3/5 × 30%) + Optional (3/4 × 10%)
Applied Research · Apr 12, 2026 · 10 min read
16 Neural Network Estimation of Shadow Economy Size — Improving on MIMIC Models DOI 5/10 48 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 0% ○ ≥80% from editorially reviewed sources [t] Trusted 73% ○ ≥80% from verified, high-quality sources [a] DOI 13% ○ ≥80% have a Digital Object Identifier [b] CrossRef 0% ○ ≥80% indexed in CrossRef [i] Indexed 0% ○ ≥80% have metadata indexed [l] Academic 53% ○ ≥80% from journals/conferences/preprints [f] Free Access 67% ○ ≥80% are freely accessible [r] References 15 refs ✓ Minimum 10 references required [w] Words [REQ] 2,065 ✓ Minimum 2,000 words for a full research article. Current: 2,065 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19545656 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 30% ✗ ≥60% of references from 2025–2026. Current: 30% [c] Data Charts 3 ✓ Original data charts from reproducible analysis (min 2). Current: 3 [g] Code ✓ ✓ Source code available on GitHub [m] Diagrams 3 ✓ Mermaid architecture/flow diagrams. Current: 3 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (38 × 60%) + Required (3/5 × 30%) + Optional (3/4 × 10%)
Applied Research · Apr 12, 2026 · 10 min read
17 Real-Time Shadow Economy Indicators — Building a Dashboard from Open Data DOI 5/10 51 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 5% ○ ≥80% from editorially reviewed sources [t] Trusted 70% ○ ≥80% from verified, high-quality sources [a] DOI 20% ○ ≥80% have a Digital Object Identifier [b] CrossRef 5% ○ ≥80% indexed in CrossRef [i] Indexed 10% ○ ≥80% have metadata indexed [l] Academic 55% ○ ≥80% from journals/conferences/preprints [f] Free Access 90% ✓ ≥80% are freely accessible [r] References 20 refs ✓ Minimum 10 references required [w] Words [REQ] 3 ✗ Minimum 2,000 words for a full research article. Current: 3 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19582647 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 60% ✓ ≥60% of references from 2025–2026. Current: 60% [c] Data Charts 4 ✓ Original data charts from reproducible analysis (min 2). Current: 4 [g] Code ✓ ✓ Source code available on GitHub [m] Diagrams 3 ✓ Mermaid architecture/flow diagrams. Current: 3 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (42 × 60%) + Required (3/5 × 30%) + Optional (3/4 × 10%)
Applied Research · Apr 14, 2026 · 1 min read
18 Machine Learning for Shadow Economy Detection — Classification of Suspicious Transaction Patterns DOI 6/10 56 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 0% ○ ≥80% from editorially reviewed sources [t] Trusted 67% ○ ≥80% from verified, high-quality sources [a] DOI 28% ○ ≥80% have a Digital Object Identifier [b] CrossRef 0% ○ ≥80% indexed in CrossRef [i] Indexed 0% ○ ≥80% have metadata indexed [l] Academic 56% ○ ≥80% from journals/conferences/preprints [f] Free Access 89% ✓ ≥80% are freely accessible [r] References 18 refs ✓ Minimum 10 references required [w] Words [REQ] 2,140 ✓ Minimum 2,000 words for a full research article. Current: 2,140 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19513733 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 67% ✓ ≥60% of references from 2025–2026. Current: 67% [c] Data Charts 4 ✓ Original data charts from reproducible analysis (min 2). Current: 4 [g] Code ✓ ✓ Source code available on GitHub [m] Diagrams 3 ✓ Mermaid architecture/flow diagrams. Current: 3 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (41 × 60%) + Required (4/5 × 30%) + Optional (3/4 × 10%)
Applied Research · Apr 24, 2026 · 11 min read
19 Blockchain-Based Tax Compliance — Smart Contracts for Automated VAT Collection DOI 4/10 68 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 0% ○ ≥80% from editorially reviewed sources [t] Trusted 93% ✓ ≥80% from verified, high-quality sources [a] DOI 90% ✓ ≥80% have a Digital Object Identifier [b] CrossRef 0% ○ ≥80% indexed in CrossRef [i] Indexed 0% ○ ≥80% have metadata indexed [l] Academic 93% ✓ ≥80% from journals/conferences/preprints [f] Free Access 100% ✓ ≥80% are freely accessible [r] References 30 refs ✓ Minimum 10 references required [w] Words [REQ] 4,118 ✓ Minimum 2,000 words for a full research article. Current: 4,118 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.20039119 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 77% ✓ ≥60% of references from 2025–2026. Current: 77% [c] Data Charts 0 ○ Original data charts from reproducible analysis (min 2). Current: 0 [g] Code — ○ Source code available on GitHub [m] Diagrams 2 ✓ Mermaid architecture/flow diagrams. Current: 2 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (69 × 60%) + Required (4/5 × 30%) + Optional (1/4 × 10%)
Applied Research · May 5, 2026 · 21 min read
20 War and Shadow Economy — How Armed Conflict Reshapes Informal Markets in Ukraine DOI 4/10 72 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 54% ○ ≥80% from editorially reviewed sources [t] Trusted 92% ✓ ≥80% from verified, high-quality sources [a] DOI 85% ✓ ≥80% have a Digital Object Identifier [b] CrossRef 62% ○ ≥80% indexed in CrossRef [i] Indexed 62% ○ ≥80% have metadata indexed [l] Academic 92% ✓ ≥80% from journals/conferences/preprints [f] Free Access 100% ✓ ≥80% are freely accessible [r] References 13 refs ✓ Minimum 10 references required [w] Words [REQ] 1,248 ✗ Minimum 2,000 words for a full research article. Current: 1,248 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.20075718 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 77% ✓ ≥60% of references from 2025–2026. Current: 77% [c] Data Charts 0 ○ Original data charts from reproducible analysis (min 2). Current: 0 [g] Code — ○ Source code available on GitHub [m] Diagrams 2 ✓ Mermaid architecture/flow diagrams. Current: 2 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (86 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
Applied Research · May 7, 2026 · 6 min read
21 Reconstruction Economics — Preventing Shadow Economy Capture of Rebuilding Funds DOI 3/10 45 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 0% ○ ≥80% from editorially reviewed sources [t] Trusted 80% ✓ ≥80% from verified, high-quality sources [a] DOI 60% ○ ≥80% have a Digital Object Identifier [b] CrossRef 0% ○ ≥80% indexed in CrossRef [i] Indexed 0% ○ ≥80% have metadata indexed [l] Academic 70% ○ ≥80% from journals/conferences/preprints [f] Free Access 100% ✓ ≥80% are freely accessible [r] References 10 refs ✓ Minimum 10 references required [w] Words [REQ] 1,584 ✗ Minimum 2,000 words for a full research article. Current: 1,584 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.20113107 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 33% ✗ ≥60% of references from 2025–2026. Current: 33% [c] Data Charts 0 ○ Original data charts from reproducible analysis (min 2). Current: 0 [g] Code — ○ Source code available on GitHub [m] Diagrams 0 ○ Mermaid architecture/flow diagrams. Current: 0 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (55 × 60%) + Required (2/5 × 30%) + Optional (0/4 × 10%)
Applied Research · May 10, 2026 · 8 min read
— Humanitarian Aid Diversion — Modeling Leakage Channels and Mitigation Strategies (Draft — in preparation)
22 Defense Procurement Transparency — Audit Frameworks for Wartime Spending DOI 3/10 13 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 0% ○ ≥80% from editorially reviewed sources [t] Trusted 0% ○ ≥80% from verified, high-quality sources [a] DOI 0% ○ ≥80% have a Digital Object Identifier [b] CrossRef 0% ○ ≥80% indexed in CrossRef [i] Indexed 0% ○ ≥80% have metadata indexed [l] Academic 0% ○ ≥80% from journals/conferences/preprints [f] Free Access 100% ✓ ≥80% are freely accessible [r] References 2 refs ○ Minimum 10 references required [w] Words [REQ] 0 ✗ Minimum 2,000 words for a full research article. Current: 0 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.20181665 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 0% ✗ ≥60% of references from 2025–2026. Current: 0% [c] Data Charts 0 ○ Original data charts from reproducible analysis (min 2). Current: 0 [g] Code — ○ Source code available on GitHub [m] Diagrams 0 ○ Mermaid architecture/flow diagrams. Current: 0 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (1 × 60%) + Required (2/5 × 30%) + Optional (0/4 × 10%)
Applied Research · May 14, 2026 · 1 min read
23 Post-War Tax Reform Blueprint — Designing Ukraine's Next-Generation Fiscal System DOI 3/10 75 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 69% ○ ≥80% from editorially reviewed sources [t] Trusted 92% ✓ ≥80% from verified, high-quality sources [a] DOI 85% ✓ ≥80% have a Digital Object Identifier [b] CrossRef 77% ○ ≥80% indexed in CrossRef [i] Indexed 77% ○ ≥80% have metadata indexed [l] Academic 92% ✓ ≥80% from journals/conferences/preprints [f] Free Access 100% ✓ ≥80% are freely accessible [r] References 13 refs ✓ Minimum 10 references required [w] Words [REQ] 1,419 ✗ Minimum 2,000 words for a full research article. Current: 1,419 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.20262607 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 85% ✓ ≥60% of references from 2025–2026. Current: 85% [c] Data Charts 0 ○ Original data charts from reproducible analysis (min 2). Current: 0 [g] Code — ○ Source code available on GitHub [m] Diagrams 2 ✓ Mermaid architecture/flow diagrams. Current: 2 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (90 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
Applied Research · May 17, 2026 · 7 min read
— AI-Driven Tax Compliance: How Explainable AI Transforms Shadow Economy Detection (Draft — in preparation)
24 Digital Transformation Economics: When AI Adoption Reduces Informality DOI 3/10 39 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 0% ○ ≥80% from editorially reviewed sources [t] Trusted 67% ○ ≥80% from verified, high-quality sources [a] DOI 33% ○ ≥80% have a Digital Object Identifier [b] CrossRef 0% ○ ≥80% indexed in CrossRef [i] Indexed 0% ○ ≥80% have metadata indexed [l] Academic 67% ○ ≥80% from journals/conferences/preprints [f] Free Access 100% ✓ ≥80% are freely accessible [r] References 3 refs ○ Minimum 10 references required [w] Words [REQ] 310 ✗ Minimum 2,000 words for a full research article. Current: 310 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.20312094 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 33% ✗ ≥60% of references from 2025–2026. Current: 33% [c] Data Charts 0 ○ Original data charts from reproducible analysis (min 2). Current: 0 [g] Code — ○ Source code available on GitHub [m] Diagrams 2 ✓ Mermaid architecture/flow diagrams. Current: 2 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (40 × 60%) + Required (2/5 × 30%) + Optional (1/4 × 10%)
Applied Research · May 20, 2026 · 2 min read
25 Public Procurement AI: Detecting Corruption Patterns with Explainable Machine Learning DOI 3/10 64 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 44% ○ ≥80% from editorially reviewed sources [t] Trusted 78% ○ ≥80% from verified, high-quality sources [a] DOI 67% ○ ≥80% have a Digital Object Identifier [b] CrossRef 56% ○ ≥80% indexed in CrossRef [i] Indexed 56% ○ ≥80% have metadata indexed [l] Academic 78% ○ ≥80% from journals/conferences/preprints [f] Free Access 100% ✓ ≥80% are freely accessible [r] References 9 refs ○ Minimum 10 references required [w] Words [REQ] 1,198 ✗ Minimum 2,000 words for a full research article. Current: 1,198 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.20351356 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 63% ✓ ≥60% of references from 2025–2026. Current: 63% [c] Data Charts 0 ○ Original data charts from reproducible analysis (min 2). Current: 0 [g] Code — ○ Source code available on GitHub [m] Diagrams 3 ✓ Mermaid architecture/flow diagrams. Current: 3 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (73 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
Applied Research · May 22, 2026 · 6 min read
26 The Transformation of Shadow Labor Markets: How AI Platforms Reshape Informal Work DOI 3/10 42 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 0% ○ ≥80% from editorially reviewed sources [t] Trusted 75% ○ ≥80% from verified, high-quality sources [a] DOI 38% ○ ≥80% have a Digital Object Identifier [b] CrossRef 0% ○ ≥80% indexed in CrossRef [i] Indexed 13% ○ ≥80% have metadata indexed [l] Academic 50% ○ ≥80% from journals/conferences/preprints [f] Free Access 100% ✓ ≥80% are freely accessible [r] References 8 refs ○ Minimum 10 references required [w] Words [REQ] 875 ✗ Minimum 2,000 words for a full research article. Current: 875 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.20358396 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 20% ✗ ≥60% of references from 2025–2026. Current: 20% [c] Data Charts 0 ○ Original data charts from reproducible analysis (min 2). Current: 0 [g] Code — ○ Source code available on GitHub [m] Diagrams 2 ✓ Mermaid architecture/flow diagrams. Current: 2 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (46 × 60%) + Required (2/5 × 30%) + Optional (1/4 × 10%)
Applied Research · May 23, 2026 · 4 min read
27 EU AI Act Compliance for Ukrainian Tech: How Explanation Requirements Affect AI Exports DOI 2/10 39 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 0% ○ ≥80% from editorially reviewed sources [t] Trusted 50% ○ ≥80% from verified, high-quality sources [a] DOI 25% ○ ≥80% have a Digital Object Identifier [b] CrossRef 0% ○ ≥80% indexed in CrossRef [i] Indexed 0% ○ ≥80% have metadata indexed [l] Academic 50% ○ ≥80% from journals/conferences/preprints [f] Free Access 100% ✓ ≥80% are freely accessible [r] References 4 refs ○ Minimum 10 references required [w] Words [REQ] 2,109 ✓ Minimum 2,000 words for a full research article. Current: 2,109 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.20372892 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 33% ✗ ≥60% of references from 2025–2026. Current: 33% [c] Data Charts 0 ○ Original data charts from reproducible analysis (min 2). Current: 0 [g] Code — ○ Source code available on GitHub [m] Diagrams 2 ✓ Mermaid architecture/flow diagrams. Current: 2 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (31 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
Applied Research · May 24, 2026 · 11 min read
27 published4,485 total views241 min total readingMar 2026 – May 2026 published
Contribution Opportunities
Researchers and students wishing to contribute are encouraged to engage in the following directions:
Data collection: Compile and validate time-series data on Ukrainian tax-to-GDP ratios, Diia adoption metrics, and shadow economy estimates from multiple methodological sources.
Comparative cases: Extend the comparative analysis beyond Estonia, Georgia, and Poland to other post-socialist economies with documented digitalization-driven fiscal reforms.
Game-theoretic extensions: Develop richer strategy spaces (continuous or multi-stage games) building on the simplified payoff matrices presented in Paper 2.
Policy engagement: Connect findings to ongoing EU accession working groups and Ukrainian fiscal reform initiatives.
Tool development: Contribute to the Shadow Economy tab in the Geopolitical Risk Intelligence tool on the Stabilarity Research Hub.