PapersFlow Research Brief
Economic, Social, and Public Health Issues in Russia and Globally
Research Guide
What is Economic, Social, and Public Health Issues in Russia and Globally?
Economic, Social, and Public Health Issues in Russia and Globally refers to a research cluster examining economic sanctions' effects on growth, inequality, and financial stability, alongside vulnerability indicators and market trends in nanomaterials, analyzed through multicriteria decision methods and statistical modeling.
This field includes 10,905 papers on topics such as cluster analysis applications in economics, governance, and public policymaking. Key works address the GDP impacts of UN and US sanctions, with Neuenkirch and Neumeier (2015) documenting specific growth reductions. Financial sanctions on Russia directly affected state-controlled banks and reduced capital inflows, as modeled by Gurvich and Prilepskiy (2015).
Topic Hierarchy
Research Sub-Topics
Clusterability Assessment Methods
Researchers develop statistical tests and indices to evaluate data suitability for clustering, such as VAT and Hopkins statistic. Studies compare methods across datasets for robust preprocessing.
Cluster Analysis Visualization Techniques
This area focuses on dimensionality reduction and plotting methods like t-SNE, UMAP, and silhouette plots for cluster validation. Research integrates interactive tools for exploratory analysis.
Crowdsourcing in Cluster Analysis
Scholars explore hybrid human-AI clustering using crowdsourcing for ground truth labels and algorithm refinement. Applications span social media and governance data partitioning.
Cluster Analysis in Digital Economy
Research applies clustering to digital economy datasets, identifying firm typologies, market segments, and innovation hubs. Studies link clusters to economic development metrics.
Nodal Governance and Cluster Modeling
This sub-topic uses clustering to model nodal governance networks in public policymaking and globalization contexts. Analyses uncover power distributions and policy node interactions.
Why It Matters
Economic sanctions influence GDP growth and income inequality in targeted states, as shown by Neuenkirch and Neumeier (2015) who analyzed UN and US sanctions' effects, and Afesorgbor and Mahadevan (2016) who found sanctions increased income inequality. In Russia, Gurvich and Prilepskiy (2015) quantified financial sanctions' role in reducing capital flows to state-controlled banks, oil, and gas companies by accounting for oil price declines, impacting overall economic stability. Birkmann (2006) provides indicators for measuring vulnerability, applicable to public health and social policy in sanctioned economies. Doumpos and Zopounidis (2004) offer multicriteria classification methods for decision-making in governance and economics, aiding policymakers in assessing sanction outcomes.
Reading Guide
Where to Start
"Multicriteria Decision Aid Classification Methods" by Doumpos and Zopounidis (2004), as it provides foundational methods for classification in economics and policymaking, serving as an entry point to the cluster's analytical approaches.
Key Papers Explained
Doumpos and Zopounidis (2004) establish multicriteria decision aid classification methods applicable to sanction impacts. Neuenkirch and Neumeier (2015) build on such modeling by quantifying UN and US sanctions' GDP effects, while Gurvich and Prilepskiy (2015) apply similar techniques to Russia's financial sanctions, isolating sector-specific capital flow reductions. Afesorgbor and Mahadevan (2016) extend this to income inequality outcomes, linking sanctions to social issues.
Paper Timeline
Most-cited paper highlighted in red. Papers ordered chronologically.
Advanced Directions
Current work emphasizes statistical modeling of sanctions in governance, with no recent preprints available; focus remains on established papers like Gurvich and Prilepskiy (2015) for Russian economy analysis and Birkmann (2006) for vulnerability metrics amid ongoing global tensions.
Papers at a Glance
| # | Paper | Year | Venue | Citations | Open Access |
|---|---|---|---|---|---|
| 1 | Multicriteria Decision Aid Classification Methods | 2004 | Kluwer Academic Publis... | 379 | ✓ |
| 2 | Moving boundary problems | 1978 | Ultrasonics | 315 | ✕ |
| 3 | The impact of UN and US economic sanctions on GDP growth | 2015 | European Journal of Po... | 302 | ✕ |
| 4 | AN EXPANSION AND ELABORATION OF THE HYBRID MODEL OF CONCEPT DE... | 2000 | — | 257 | ✕ |
| 5 | The Impact of Economic Sanctions on Income Inequality of Targe... | 2016 | World Development | 197 | ✕ |
| 6 | The Emerging Democratic Majority | 2002 | Foreign Affairs | 190 | ✕ |
| 7 | World market for nanomaterials: structure and trends | 2017 | MATEC Web of Conferences | 181 | ✓ |
| 8 | The impact of financial sanctions on the Russian economy | 2015 | Russian Journal of Eco... | 173 | ✓ |
| 9 | Statistical Bibliography in Relation to the Growth of Modern C... | 1923 | Economica | 158 | ✕ |
| 10 | Indicators and criteria for measuring vulnerability : theoreti... | 2006 | UNU Collections (Unite... | 150 | ✕ |
Frequently Asked Questions
What is the impact of financial sanctions on the Russian economy?
Gurvich and Prilepskiy (2015) modeled capital flow components and found that Western financial sanctions directly affected sanctioned state-controlled banks, oil, and gas companies. Sanctions reduced capital inflows even after accounting for falling oil prices. The analysis shows targeted effects on specific sectors rather than broad economic disruption.
How do economic sanctions affect GDP growth?
Neuenkirch and Neumeier (2015) examined UN and US economic sanctions and their impact on GDP growth in targeted countries. Their study reveals negative effects on growth rates. The findings highlight sanctions as a tool influencing economic performance.
What methods are used for multicriteria decision aid in classification?
Doumpos and Zopounidis (2004) discuss multicriteria decision aid classification methods oriented toward decision support. The approach reviews existing research on classification problems. It applies to economics, governance, and policymaking contexts.
How do sanctions impact income inequality?
Afesorgbor and Mahadevan (2016) analyzed the impact of economic sanctions on income inequality in target states. Sanctions were found to increase inequality levels. The study uses empirical data from multiple countries.
What indicators measure vulnerability in social and economic contexts?
Birkmann (2006) outlines indicators and criteria for measuring vulnerability, including theoretical bases and requirements. These apply to public health, economic development, and globalization risks. The framework supports statistical modeling in policymaking.
Open Research Questions
- ? How do combined effects of oil price changes and financial sanctions alter long-term capital flows in resource-dependent economies like Russia?
- ? What multicriteria models best predict income inequality rises from targeted economic sanctions?
- ? Which vulnerability indicators most accurately forecast social disruptions from globalization and digital economy shifts?
- ? How can cluster analysis improve assessment of nanomaterial market trends amid economic sanctions?
Recent Trends
The field maintains 10,905 works with no specified 5-year growth rate; persistent focus on sanctions persists, as evidenced by highly cited papers like Gurvich and Prilepskiy on Russian financial sanctions (173 citations) and Neuenkirch and Neumeier (2015) on GDP impacts (302 citations), with no new preprints or news in the last 6-12 months.
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