Subtopic Deep Dive
Knowledge Spillovers and Regional Knowledge Flows
Research Guide
What is Knowledge Spillovers and Regional Knowledge Flows?
Knowledge spillovers and regional knowledge flows refer to the inter-firm and inter-regional transfer of knowledge through mechanisms like patents, collaborations, labor mobility, and foreign direct investment, often analyzed using network analysis and gravity models.
This subtopic examines how universities and multinationals facilitate knowledge diffusion across regions, driving uneven innovation capacities. Studies quantify FDI spillovers on economic growth and market concentration (Vasa and Angeloska, 2020; 43 citations). Approximately 20 papers from the list address FDI-related spillovers in Southeastern Europe.
Why It Matters
Quantifying knowledge spillovers via FDI helps policymakers design strategies to boost regional innovation in lagging economies like Serbia and Bosnia and Herzegovina. Vasa and Angeloska (2020) show FDI correlates with economic variables, generating spillovers that multinational corporations encourage. Panait et al. (2020) highlight TNC impacts on agri-food sectors, revealing CSR limits in knowledge transfer. Stevanović et al. (2018) link national intellectual capital to growth in Southeastern Europe, informing convergence policies amid industrial revolutions (Vujović, 2019).
Key Research Challenges
Measuring Spillover Magnitude
Quantifying intangible knowledge transfers from FDI remains difficult due to unobserved channels like labor mobility. Vasa and Angeloska (2020) analyze FDI correlations but note spillover assumptions. Kastratović (2018) empirically tests FDI effects on market concentration in Bosnia, finding mixed results.
Modeling Regional Heterogeneity
Gravity models struggle with regional variations in institutional quality and university roles. Sopta et al. (2021) use cointegration for FDI-exports-growth in Croatia. Kemiveš and Barjaktarović (2021) examine external factors on FDI in Visegrad and Serbia.
Isolating Causality Directions
Distinguishing spillovers from reverse causality challenges econometric designs. Uvalić et al. (2020) review Serbia's post-crisis growth stagnation. Stevanović et al. (2018) link intellectual capital to growth without isolating flows.
Essential Papers
Foreign direct investment in the Republic of Serbia: Correlation between foreign direct investments and the selected economic variables
László Vasa, Aleksandra Angeloska · 2020 · JOURNAL OF INTERNATIONAL STUDIES · 43 citations
Foreign Direct Investment (FDI) in the theory of economic thought is considered to be an important factor for country's growth and development.By encouraging multinational corporations to invest, h...
Implication of TNCs in agri-food sector: Challenges, constraints and limits: Profit or CSR?
Mirela Panait, Vasilii Erokhin, Jean André et al. · 2020 · Strategic Management · 30 citations
The paper evaluates the impacts of the transformation of agri-food sector under the influence of foreign capital and the CSR implication in sector having into consideration the TNCs actions. The ma...
The impact of national intellectual capital on the economic growth in the South-Eastern European Countries
Tatjana Stevanović, Maja Ivanović-Đukić, Tamara Rađenović et al. · 2018 · Zbornik radova Ekonomskog fakulteta u Rijeci · 21 citations
In the contemporary circumstances, intellectual capital has become the engine of the economic, social and cultural development. Mobilization and utilization of intellectual resources in enterprises...
The Serbian economy ten years after the global economic crisis
Milica Uvalić, Božidar Cerović, Jasna Atanasijević · 2020 · Economic Annals · 12 citations
The global financial crisis hit the Serbian economy severely in late 2008. The subsequent decade has been characterized by negative or very modest economic growth and Serbia is now just slightly ab...
The challenges of income convergence at times of the fourth industrial revolution
Dušan Vujović · 2019 · Ekonomika preduzeca · 6 citations
The paper argues that Serbia must address a complex set of challenges as it prepares for the EU accession and seeks convergence to the European quality of life within a reasonable timeframe. To suc...
FOREIGN DIRECT INVESTMENT IMPACT ON MARKET CONCENTRATION IN THE MANUFACTURING SECTOR OF BOSNIA AND HERZEGOVINA
Radovan Kastratović · 2018 · Facta Universitatis Series Economics and Organization · 6 citations
There is no consensus regarding the effect of foreign direct investment on market concentration in the literature of foreign direct investment and the theory of industrial organization. The aim of ...
The future of Serbia and how to survive it: Catching up and convergence with the EU
Dragan Djuricin, Iva Vuksanović · 2016 · Ekonomika preduzeca · 5 citations
Hypercompetition, sometimes referred to as 'universal transformative global discontinuity', is the greatest challenge the mankind faces today. The key characteristics of this stage of development a...
Reading Guide
Foundational Papers
Start with IMF (2007) 'Bosnia and Herzegovina: Selected Issues' for early FDI spillover context in the region; then Djuricin and Vuksanović (2014) on Serbia's reindustrialization role of politicians in knowledge flows.
Recent Advances
Prioritize Vasa and Angeloska (2020) for FDI correlations in Serbia; Panait et al. (2020) on TNC agri-food spillovers; Sopta et al. (2021) for Croatia's FDI-exports-growth causality.
Core Methods
Core techniques: cointegration and causality analysis (Sopta et al., 2021); correlation regressions (Vasa and Angeloska, 2020); market concentration empirics (Kastratović, 2018); gravity models implied in regional FDI flows.
How PapersFlow Helps You Research Knowledge Spillovers and Regional Knowledge Flows
Discover & Search
PapersFlow's Research Agent uses searchPapers and exaSearch to find FDI spillover papers like 'Foreign direct investment in the Republic of Serbia' by Vasa and Angeloska (2020, 43 citations), then citationGraph reveals clusters in Southeastern Europe, while findSimilarPapers uncovers related works by Panait et al. (2020).
Analyze & Verify
Analysis Agent applies readPaperContent to extract spillover metrics from Vasa and Angeloska (2020), verifies causal claims with verifyResponse (CoVe) and runPythonAnalysis for cointegration tests like in Sopta et al. (2021), with GRADE grading ensuring evidence strength on FDI-growth links.
Synthesize & Write
Synthesis Agent detects gaps in spillover measurement across papers, flags contradictions between Kastratović (2018) and Vasa (2020); Writing Agent uses latexEditText, latexSyncCitations for regional flow models, latexCompile for reports, and exportMermaid for network diagrams of knowledge transfers.
Use Cases
"Run regression on FDI spillover data from Serbian papers to test economic growth correlation."
Research Agent → searchPapers('FDI spillovers Serbia') → Analysis Agent → runPythonAnalysis(pandas regression on Vasa 2020 data) → matplotlib plot of coefficients and p-values.
"Draft LaTeX section on gravity models for regional knowledge flows with citations."
Synthesis Agent → gap detection → Writing Agent → latexEditText('gravity model text') → latexSyncCitations(Vasa 2020, Sopta 2021) → latexCompile → PDF with formatted equations.
"Find GitHub repos with code for network analysis of patent-based spillovers."
Research Agent → searchPapers('knowledge spillovers networks') → Code Discovery → paperExtractUrls → paperFindGithubRepo → githubRepoInspect → exportCsv of repo code for gravity model simulations.
Automated Workflows
Deep Research workflow conducts systematic review of 50+ FDI spillover papers, chaining searchPapers → citationGraph → structured report on regional flows. DeepScan applies 7-step analysis with CoVe checkpoints to verify causality in Vasa (2020) and Sopta (2021). Theorizer generates hypotheses on university roles in spillovers from Stevanović et al. (2018) literature.
Frequently Asked Questions
What defines knowledge spillovers in regional contexts?
Knowledge spillovers are unintentional transfers of knowledge between firms or regions via FDI, labor mobility, patents, and collaborations, mapped with network analysis and gravity models.
What methods quantify regional knowledge flows?
Methods include cointegration analysis (Sopta et al., 2021), correlation studies (Vasa and Angeloska, 2020), and causality tests for FDI impacts on growth and concentration (Kastratović, 2018).
What are key papers on this topic?
Top papers: Vasa and Angeloska (2020, 43 citations) on Serbian FDI spillovers; Panait et al. (2020, 30 citations) on TNCs in agri-food; Stevanović et al. (2018, 21 citations) on intellectual capital and growth.
What open problems exist in spillover research?
Challenges include isolating causality, modeling heterogeneity, and measuring magnitudes amid institutional differences, as seen in mixed FDI results (Kastratović, 2018; Uvalić et al., 2020).
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