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Regional Competitiveness Analysis
Research Guide

What is Regional Competitiveness Analysis?

Regional Competitiveness Analysis measures factors driving economic performance across regions using indices, econometric models, and multi-criteria decision-making methods.

Researchers apply fuzzy MCDM methods to assess sectors (Baležentis et al., 2012, 102 citations) and quantitative evaluations to compare regional development (Ginevičius et al., 2004, 35 citations). Studies examine infrastructure's role (Komarova, 2014, 24 citations) and innovation models like the triple helix (Safullin, 2014, 35 citations). Over 10 key papers from 2004-2021 focus on Europe and emerging markets.

Curated Papers

Key Challenges

Why It Matters

Regional Competitiveness Analysis guides place-based policies by quantifying disparities, as in Ginevičius et al. (2004) evaluating Lithuanian regions to inform policy. Baležentis et al. (2012) enable sector comparisons for investment decisions using fuzzy MCDM. Komarova (2014) highlights infrastructure impacts on competitiveness, aiding sustainable development strategies in regions like Tatarstan (Frolova et al., 2019).

Key Research Challenges

Measuring Intangible Factors

Quantifying innovation and human capital remains difficult due to subjective metrics. Gerasimov et al. (2019) address control in human capital for regional innovation but note data gaps. Fuzzy methods help but require validation (Baležentis et al., 2012).

Handling Regional Disparities

Differing development levels across regions complicate comparisons. Ginevičius et al. (2004) quantify Lithuanian disparities causing social conflicts. Policies must balance growth without exacerbating inequalities.

Integrating Digitalization Effects

Digital impacts on quality of life and economy challenge traditional models. Barlybaev et al. (2021) analyze positive and negative effects but lack unified indices. Emerging virtualization adds complexity (Shkurkin et al., 2015).

Essential Papers

AN INTEGRATED ASSESSMENT OF LITHUANIAN ECONOMIC SECTORS BASED ON FINANCIAL RATIOS AND FUZZY MCDM METHODS

Аlvydas Baležentis, Tomas Baležentis, Algimantas Misiūnas · 2012 · Technological and Economic Development of Economy · 102 citations

The aim of this study was to offer a novel procedure for integrated assessment and comparison of Lithuanian economic sectors on the basis of financial ratios and fuzzy MCDM methods. The complex of ...

Quality of Life of the Population: the Impact of Digitalization

Adigam Barlybaev, Zulfiya Ishnazarova, Inna Sitnova · 2021 · E3S Web of Conferences · 60 citations

The article analyzes the impact of digitalization on the life population quality, identifies areas, identifies the positive and negative impact of digitalization on the qualitative characteristics ...

Investigation of the Scope of Intellectual Services in the Aspect of Virtualization and Information Economy of Modern Russia

Dmitry V. Shkurkin, Vladimir Novikov, İskandar S. Kobersy et al. · 2015 · Mediterranean Journal of Social Sciences · 37 citations

The article deals with the scope of intellectual services, analyzes the factors and aspects of the scope of intellectual services. In the XXI century. Came the realization that the information econ...

FORMATION OF ECONOMIC BUBBLES: CAUSES AND POSSIBLE PREVENTIONS

Stasys Girdzijauskas, Dalia Štreimikienė, Jonas Čepinskis et al. · 2009 · Technological and Economic Development of Economy · 36 citations

The article deals with economic bubbles and analyses causes, means of prevention and results of economic bubbles. The exact cause of economic bubbles has been analyzed by many economists. The artic...

Quantitative Evaluation of Economic and Social Development of Lithuanian Regions

Romualdas Ginevičius, Valentinas Podvezko, D. Mikelis · 2004 · Ekonomika · 35 citations

Many European countries are faced with the problem of regional disparities when the level of social and economic development of particular regions is dramatically different. This causes social conf...

The Triple Helix Model of Innovation

Л.Н. Сафиуллин · 2014 · Mediterranean Journal of Social Sciences · 35 citations

Nowadays in a knowledge-based society, university, industry and government play important roles and form a triple helix in innovation stimulating. Such interaction is the source of the creation and...

Corruption as an obstacle to sustainable development: A regional example

Irina Ivanovna Frolova, Olga Voronkova, Natalia Alekhina et al. · 2019 · Journal of Entrepreneurship and Sustainability Issues · 30 citations

Corruption in various sectors causes serious damage not only to individual economies, countries, and regions but also to humanity as a whole.This paper analyzes the state of corruption in the Repub...

Reading Guide

Foundational Papers

Start with Baležentis et al. (2012) for fuzzy MCDM methods (102 citations), Ginevičius et al. (2004) for regional evaluation (35 citations), and Komarova (2014) for infrastructure role to build core measurement frameworks.

Recent Advances

Study Barlybaev et al. (2021, 60 citations) on digitalization impacts and Gerasimov et al. (2019) on human capital control for modern extensions.

Core Methods

Core techniques include fuzzy MCDM (Baležentis et al., 2012), quantitative multi-criteria assessment (Ginevičius et al., 2004), and triple helix modeling (Safullin, 2014).

How PapersFlow Helps You Research Regional Competitiveness Analysis

Discover & Search

Research Agent uses searchPapers and citationGraph to map Baležentis et al. (2012) centrality in fuzzy MCDM for sectors, then exaSearch for recent extensions and findSimilarPapers for Lithuanian regional studies.

Analyze & Verify

Analysis Agent applies readPaperContent on Ginevičius et al. (2004), verifies indices with runPythonAnalysis recreating quantitative evaluations via pandas, and uses GRADE grading for MCDM robustness plus CoVe for claim verification.

Synthesize & Write

Synthesis Agent detects gaps in infrastructure-competitiveness links from Komarova (2014), flags contradictions in digitalization impacts (Barlybaev et al., 2021), while Writing Agent uses latexEditText, latexSyncCitations, and latexCompile for policy report generation with exportMermaid for regional disparity diagrams.

Use Cases

"Replicate fuzzy MCDM sector assessment from Baležentis 2012 with my regional data"

Research Agent → searchPapers('Baležentis 2012') → Analysis Agent → readPaperContent + runPythonAnalysis (pandas fuzzy MCDM sandbox) → outputs validated code and rankings CSV.

"Draft LaTeX report comparing Lithuanian regions like Ginevičius 2004"

Research Agent → citationGraph → Synthesis Agent → gap detection → Writing Agent → latexEditText + latexSyncCitations + latexCompile → delivers compiled PDF with citations and figures.

"Find code for regional competitiveness indices from papers"

Research Agent → paperExtractUrls → Code Discovery → paperFindGithubRepo + githubRepoInspect → researcher gets runnable Python repos for MCDM models linked to Baležentis et al.

Automated Workflows

Deep Research workflow scans 50+ papers on regional indices via searchPapers → citationGraph → structured report with GRADE scores. DeepScan applies 7-step analysis to verify Komarova (2014) infrastructure metrics with CoVe checkpoints and runPythonAnalysis. Theorizer generates hypotheses on triple helix extensions from Safullin (2014) literature synthesis.

Try Doxa for Regional Competitiveness Analysis Research

Frequently Asked Questions

What is Regional Competitiveness Analysis?

It measures economic performance drivers using indices and models like fuzzy MCDM (Baležentis et al., 2012).

What methods are used?

Fuzzy MCDM for sectors (Baležentis et al., 2012), quantitative evaluation for disparities (Ginevičius et al., 2004), and triple helix for innovation (Safullin, 2014).

What are key papers?

Baležentis et al. (2012, 102 citations) on fuzzy MCDM; Ginevičius et al. (2004, 35 citations) on regions; Komarova (2014, 24 citations) on infrastructure.