Stanisław Gędek
Biographic Data
| ID | 6390659 |
|---|---|
| NAME | Stanisław Gędek |
| GIVEN NAMES | Stanisław |
| FAMILY NAME | Gędek |
| SIGNATURE | GĘDEK S |
| AFFILIATIONS | Rzeszów University of Technology |
| ORCID | 0000-0002-4712-2836 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Regional Economic Inequality in Poland
This study investigates regional productivity disparities in Poland at the NUTS-3 level, comparing the results of 2018 with 2005. Using a revised Shift-Share method, we examine the change in indicators to examine how regional productivity has evolved since Poland acceded to the EU. Framed by the Sustainable Development Goal 10 and theories on regional convergence, this research hypothesises that while EU membership fosters national growth, it may…
Measuring local competitiveness
This article discusses two methods to measure the concept of local competitiveness: Principal Component Analysis (PCA) and Analytical Hierarchy Process (AHP). The goal of this analysis is to determine whether these two methods used in social sciences research lead to comparable model results. By non-parametric tests we show that there is a significant correlation between the PCA and AHP local competitiveness indexes. Thereafter, a developed mixed…
No prominent works on this page.
Measuring local competitiveness
This article discusses two methods to measure the concept of local competitiveness: Principal Component Analysis (PCA) and Analytical Hierarchy Process (AHP). The goal of this analysis is to determine whether these two methods used in social sciences research lead to comparable model results. By non-parametric tests we show that there is a significant correlation between the PCA and AHP local competitiveness indexes. Thereafter, a developed mixed…
Regional Economic Inequality in Poland
This study investigates regional productivity disparities in Poland at the NUTS-3 level, comparing the results of 2018 with 2005. Using a revised Shift-Share method, we examine the change in indicators to examine how regional productivity has evolved since Poland acceded to the EU. Framed by the Sustainable Development Goal 10 and theories on regional convergence, this research hypothesises that while EU membership fosters national growth, it may…
Analytic hierarchy process (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Computer Science (1 work) · Data mining (1 work) · Econometrics (1 work) · Economic Growth and Productivity (1 work) · Economic inequality (1 work) · Global Trade and Competitiveness (1 work) · Human geography (1 work)