Quantitative Analysis of the Economic Potential on the Example of the Upper Silesian Metropolis

• Autorzy: Adrianna Mastalerz-Kodzis
• Języki publikacji: EN

Abstrakty

EN

Purpose: The aim of the article is to show the modified method of calculating the economic potential on the example of territorial units of the Upper Silesian Metropolis. Design/methodology/approach: Economic potential is a measure of a region's strength compared to other regions. In economics, potential is a substitute for socio-economic development. The methodology of calculating the modified economic potential of territorial units was discussed in the first part of the article, and an empirical example is presented in the second part. Findings: As a result of the research, strong regions were identified and the self-potential of the regions and their surroundings were compared. Research limitations/implications: The proposed modified method of potentials can be used for a comparative analysis of any territorial units. The metric that is used to measure the distance between territorial units is important. Practical implications: On the basis of the presented method, any regions or countries can be compared in terms of socio-economic development. Social implications: The method makes it possible to compare the socio-economic development of regions in terms of income and population. Originality/value: The article compares selected communes of the Silesian Voivodeship in terms of income, population and socio-economic development. A modified measure of economic potential was used.(original abstract)

Słowa kluczowe

EN

Social economic development; Spatial econometrics

PL

Rozwój społeczno-gospodarczy; Ekonometria przestrzenna

• Czasopismo: Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
• Rocznik: 2021
• Numer: z. 150 Modernity of Industry and Sciences
• Strony: 131--140

Twórcy

autor

Adrianna Mastalerz-Kodzis

• University of Economics in Katowice, Poland

Bibliografia

• 1. Arbia, G. (2006). Spatial econometrics. Berlin: Springer.
• 2. Biernacki, M. (2006). Kilka uwag o pomiarze dobrobytu społecznego. Mathematical economics, nr 3(10). Wrocław: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu.
• 3. Chojnicki, Z. (1966). Zastosowanie modeli grawitacji i potencjału w badaniach przestrzenno-ekonomicznych. KPZK PAN, nr 14.
• 4. Combes, P.P, Mayer, T., Thissem J.F. (2006). Economie Geographique. Economica. Paris.
• 5. Dutton, G. (1970). Macroscopic Aspects of Metropolita Evolution. Harvard Papers in Theoretical Geography. Geography of Income Series, no. 1.
• 6. Geis, A., Mur, J., Zoller, H. (2004). Spatial Econometrics and Spatial Statistics. New York: Palgrave Macmillan.
• 7. Giri, C.N. (2004). Multivariate Statistical Analysis. USA: Marcel Dekker.
• 8. Krugman, P.R. (1991). Geography and Trade. Cambridge, Massachusetts: The MIT Press.
• 9. Mastalerz-Kodzis, A. (2018). Dynamiczne modele specjalne Nowej Ekonomii Geograficznej. Wydawnictwo Uniwersytetu Ekonomicznego w Katowicach.
• 10. Paelinck, J.H.P., and Klaassen, L.H. (1983). Ekonometria przestrzenna. Warszawa: PWN.
• 11. Pooler, J. (1987). Measuring Geographical Accessibility: A Review of Current Approaches and Problems in the Use of Population Potentials. Geoforum, no. 3(18), pp. 269-289.
• 12. Rich, D.C. (1980). Potential Models in Human Geography. Concepts and Techniques in Modern Geography. Geo Abstracts, No. 26.
• 13. Sen, A., Smith, T. (1995). Gravity Models of Spatial Interaction Behavior. Berlin-Heidelberg: Springer-Verlag.
• 14. Stiglitz, J.E. (2012). Macroeconomics Fluctuations, Inequality and Human Development. Journal of Human Development and Capabilities, 13(1), pp 31-58.
• 15. Suchecki, B. (ed.) (2010). Ekonometria przestrzenna. Metody i modele analizy danych przestrzennych. Warszawa: Wydawnictwo C.H. Beck.
• 16. Suchecki, B. (ed.) (2012). Ekonometria przestrzenna II. Modele zaawansowane. Warszawa: Wydawnictwo C.H. Beck.
• 17. www.bdl.stat.gov.pl.
• 18. www.infogzm.metropoliagzm.pl.
• 19. www.stat.gov.pl.
• 20. Zeliaś, A. (ed.) (1991). Ekonometria Przestrzenna. Warszawa: PWE

Identyfikatory

DOI

10.29119/1641-3466.2021.150.10