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Erschienen in: The Annals of Regional Science 1/2016

05.04.2016 | Original Paper

The geography of financial intermediation in Turkey: 1988–2013

verfasst von: Ayse Ozden Birkan, Serpil Kahraman Akdogu

Erschienen in: The Annals of Regional Science | Ausgabe 1/2016

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Abstract

This study aims to provide an analysis of the evolution of regional financial inequalities in Turkey over the 1988–2013 period. The theoretical premise of the study is the Keynesian view that the nature and the level of development of the banking system and the geography of financial intermediation are imperative to the understanding of regional economic disparities. Exploratory Spatial Data Analysis tools used in the analysis indicate the presence of a statistically significant non-random spatial pattern at the provincial NUTS 3 level for the 2006–2013 period. LISA cluster maps reveal that the southeastern provinces of the country constitute a hot spot of credit activity in this period. Moreover, the evolution of financial inequality indices suggests that this clustering has led to a reduction in regional financial disparities across the country over the period in question. The results of econometric conditional convergence analysis suggest regional beta-convergence in terms of Gross Value Added per Capita but no statistically significant link between beta-convergence and the reduction in financial disparities.

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Fußnoten
1
Geographical weights can be constructed in many ways on the basis of contiguity, distance or a combination of the two as well as observed characteristics of the data. Broader discussions on the choice of the weighting scheme can be found in Griffith (1995) and Fischer and Getis (2010) as well as the references therein. Here we used queen contiguity weights following the literature convention.
 
2
Global Moran’s I statistics were calculated in STARS (Rey and Janikas 2006) using a queen contiguity matrix. The p values are based on randomization with 999 permutations. Although not presented in the manuscript, Geary’s C and Getis and Ord’s G statistics were also calculated and are available upon request. They confirm these results.
 
3
LISA cluster maps are created in GeoDa (Anselin et al. 2006) using a queen contiguity matrix, the randomization with the 999 permutations option and a significance level of 0.05. Although not presented in the manuscript, \(G_i\) and \(G^*_i\) cluster maps corroborate these findings and are available upon request.
 
4
This finding remains intact when the analysis is carried out using subregional NUTS 2 level data.
 
5
For a detailed presentation of spatial econometric models LeSage and Pace (2009) can be consulted.
 
6
A detailed discussion of the geographically weighted regression model can be found in Fotheringham et al. (2002).
 
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Metadaten
Titel
The geography of financial intermediation in Turkey: 1988–2013
verfasst von
Ayse Ozden Birkan
Serpil Kahraman Akdogu
Publikationsdatum
05.04.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
The Annals of Regional Science / Ausgabe 1/2016
Print ISSN: 0570-1864
Elektronische ISSN: 1432-0592
DOI
https://doi.org/10.1007/s00168-016-0759-4

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