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The Taxonomy Spatial Measure of Development in the Standard of Living Analysis

Abstract

Incorporation of spatial relationships in the construction of taxonomy measure of development is gaining popularity in Polish literature. However, there is no one common idea concerning how the spatial relationship should be taken into account when creating a synthetic variable nor, indeed, where the spatial weight matrix should be placed. It seems that the inclusion of spatial relationships is more important in smaller regions’ analysis, as they are more affected by the situation in the neighbourhood. This explains why, in this research, rankings of the standard of living in Nordic regions were constructed on the basis of proposals presented by Antczak, Pietrzak and Sobolewski, Migała‑Warchoł and Mentel. The aim of this study is to identify the advantages and disadvantages of above‑mentioned approaches and to compare the compliance of results obtained from them.

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Category:
Articles
Type:
artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
Published in:
Acta Universitatis Lodziensis Folia Oeconomica no. 1, pages 167 - 186,
ISSN: 0208-6018
Language:
English
Publication year:
2017
Bibliographic description:
Kuc-Czarnecka M.: The Taxonomy Spatial Measure of Development in the Standard of Living Analysis// Acta Universitatis Lodziensis Folia Oeconomica. -Vol. 1., iss. 327 (2017), s.167-186
DOI:
Digital Object Identifier (open in new tab) 10.18778/0208-6018.327.10
Bibliography: test
  1. A Good Life in a Sustainable Nordic Region. Nordic Strategy for Sustainable Development (2013), http://norden.diva-portal.org/smash/get/diva2:701472/FULLTEXT01.pdf. open in new tab
  2. Antczak E. (2013), Przestrzenny taksonomiczny miernik rozwoju, "Wiadomości Statystyczne", nr 7, Warszawa. open in new tab
  3. Buccellato T. (2007), Convergence across Russian Regions: A spatial econometrics approach, Centre for the Study of Economic and Social Change in Europe, "Economics Working Pa- per", no. 72, London.
  4. Bywalec Cz., Wydymus S. (1992), Poziom życia ludności Polski w porównaniu z krajami Europej- skiej Wspólnoty Gospodarczej, "Ekonomista", no. 5/6.
  5. Clarke M. (2005), Assessing well-being using hierarchical needs, "World Institute for Develop- ment Economics Research Research Paper", no. 22, http://www.rrojasdatabank.info/unurp05/ rp2005-22_1.pdf. open in new tab
  6. Cliff A.D., Ord K. (1981) Spatial Process: Models and Applications, Pion, London.
  7. Conley T.G. (1999), GMM estimation with cross selection dependence, "Journal of Econometrics", vol. 92, no. 1. open in new tab
  8. Daly H.E., Cobb J.B. Jr. (1990), For the common good. Redirecting Economy towards Community, the Environment and a Sustainable Future, Green Point, London.
  9. Doreian P. (1980), Lineal Models with Spatially Distributed Data: Spatial Disturbances or Spatial Effects?, "Sociological Methods and Research", vol. 9, no. 1. open in new tab
  10. Fingleton B., Lopez-Bazo E. (2006), Empirical growth models with spatial effects, "Papers in Re- gional Science", Regional Science Association International, Blackwell Publishing. open in new tab
  11. Getis A., Aldstadt J. (2004), Constructing the spatial weight matrix using a local statistics, "Geo- graphical Analysis", no. 36. open in new tab
  12. Global Peace Index 2015. Measuring peace, its causes and its economic value (2015), Institute for Economic&Peace, http://economicsandpeace.org/wp-content/uploads/2015/06/Global- Peace-Index-Report-2015_0.pdf. open in new tab
  13. Griffith D.A. (1996), Some guidelines for specifying the geographic weights matrix contained in spatial statistical models. Practical handbook of spatial statistics, CRC Press, Bocaaton. open in new tab
  14. Hellwig Z. (1968), Zastosowanie metody taksonomicznej do typologicznego podziału krajów ze względu na poziom ich rozwoju oraz zasady i strukturę wykwalifikowanych kadr, "Prze- gląd Statystyczny", issue 5(4).
  15. Human Development Report 2015. Work for Human Development (2015), http://report.hdr.undp.org. open in new tab
  16. Khan H. (1991), Measurement and determinants of socioeconomic development: A critical con- spectus, "Development and Change", vol. 26. open in new tab
  17. Kuc M. (2014), The implementation of the taxonomic spatial measure of development in the analy- sis of convergence in the standard of living, "Acta Universitatis Lodziensis. Folia Oeconom- ica", issue 6(309). open in new tab
  18. LeSage J.P. (1999), The theory and practice of spatial econometrics, http://www.spatial-economet- rics.com/html/sbook.pdf. open in new tab
  19. Łaszkiewicz E. (2014), Operacjonalizacja zależności przestrzennych w postaci maciery wag, [in:] J. Suchecka (2014), Statysytka przestrzenna. Metody analiz struktur przestrzennych, Wydaw- nictwo C.H. Beck, Warszawa. OECD Better Life Index, (2013), www.oecdbetterlifeindex.org.
  20. Pietrzak M.B. (2010), Wykorzystanie odległości ekonomicznej w przestrzennych analizach stopy bezrobocia, "Oeconomia Copernicana", no. 1.
  21. Pietrzak M.B. (2014), Taksonomiczny miernik rozwoju (TMR) z uwzględnieniem zależności prze- strzennych, "Przegląd Statystyczny", no. 2, Toruń.
  22. Pietrzak M.B., Wilk J., Bivand R., Kossowski T. (2014), The application of local indicators for cat- egorical data (LICD) in the spatial analysis of economic development, "Comparative Eco- nomic Research", vol. 7, no. 4. open in new tab
  23. Sobolewski M., Migała-Warcohł A., Mentel G. (2014), Ranking poziomu życia w powiatach w la- tach 2003-2012 z uwzględnieniem korelacji przestrzennych, "Acta Universitatis Lodziensis, Folia Oeconomica", issue 6(308).
  24. Stiglitz J.E., Sen A, Fitoussi J. (2009), Report by the commission on the measurement of economic performance and social progress, http://www.stiglitz-sen-fitoussi.fr. open in new tab
  25. Suchecki B. (2010), Ekonometria przestrzenna. Metody i modele analizy danych przestrzennych, Wydawnicto C.H Beck, Warszawa.
  26. The Global Competitiveness Report 2015-2016 (2015), http://reports.weforum.org/global-compet- itiveness-report-2015-2016. open in new tab
  27. The Helsinki Treaty (1962), http://www.norden.org/en/om-samarbejdet-1/nordic-agreements/trea- ties-and-agreements/basic-agreement/the-helsinki-treaty. open in new tab
  28. The Legatum Prosperity Index Ranking 2015 (2015), http://media.prosperity.com/2015/pdf/publi- cations/PI2015Brochure_WEB.pdf. open in new tab
  29. The lottery of live. Where to be born in 2013 (2013), http://www.economist.com/news/21566430- where-be-born-2013-lottery-life. open in new tab
  30. Timmins T.L, Hunter A.J.S., Cattet M.R.L., Stenhouse G.B. (2013), Developing spatial weight ma- trix for incorporation into multiple linear regression models: an example using grizzly bear body size and environmental predictor variables, "Geographical Analysis", issue 45. open in new tab
  31. Tobler W.R. (1970), A computer movie simulating urban growth in the Detroit region, "Economic Geography", no. 46, Supplement: Proceedings. International Geographical Union. Commis- sion on Quantitative Methods, Clark University. open in new tab
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