Regional Determinants and Spatial Differentiation of Innovation in Turkey

This study investigates the spatial distribution and regional determinants of innovation in Turkey. In this study, we applied regression analysis which is called global (GR) and geographically weighted regression (GWR). The empirical analyses show that human capital as an internal resource and expor...

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Main Authors: Suat Tuysuz, Fatih Altuğ
Format: Article
Language:English
Published: Ankara University 2022-04-01
Series:Coğrafi Bilimler Dergisi
Subjects:
Online Access:https://dergipark.org.tr/tr/pub/aucbd/issue/68569/1041133
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author Suat Tuysuz
Fatih Altuğ
author_facet Suat Tuysuz
Fatih Altuğ
author_sort Suat Tuysuz
collection DOAJ
description This study investigates the spatial distribution and regional determinants of innovation in Turkey. In this study, we applied regression analysis which is called global (GR) and geographically weighted regression (GWR). The empirical analyses show that human capital as an internal resource and export as an external resource/openness are the determinants of innovation in the Turkish case. GWR showed that these predictors do not affect innovation in every region. Our method differentiates us from other studies in the literature. The research depicted an important image reflecting the policymakers' urging to take the local and regional dynamics into account and their top-down policies on innovation. The present study proves empirically that place-based approaches are needed in innovation policy.
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spelling doaj.art-dae646855e3742aea4c4f77a1c1087c82023-03-08T08:47:54ZengAnkara UniversityCoğrafi Bilimler Dergisi1303-58511308-97652022-04-01201456610.33688/aucbd.1041133Regional Determinants and Spatial Differentiation of Innovation in TurkeySuat Tuysuz0https://orcid.org/0000-0002-6598-0746Fatih Altuğ1https://orcid.org/0000-0001-9163-6116 Erzincan Binali Yıldırım University, Department of Geography, Erzincan/TurkeyOndokuz Mayıs University, Department of Geography, Samsun/TurkeyThis study investigates the spatial distribution and regional determinants of innovation in Turkey. In this study, we applied regression analysis which is called global (GR) and geographically weighted regression (GWR). The empirical analyses show that human capital as an internal resource and export as an external resource/openness are the determinants of innovation in the Turkish case. GWR showed that these predictors do not affect innovation in every region. Our method differentiates us from other studies in the literature. The research depicted an important image reflecting the policymakers' urging to take the local and regional dynamics into account and their top-down policies on innovation. The present study proves empirically that place-based approaches are needed in innovation policy.https://dergipark.org.tr/tr/pub/aucbd/issue/68569/1041133innovationspatial determinantsgeographically weighted regression
spellingShingle Suat Tuysuz
Fatih Altuğ
Regional Determinants and Spatial Differentiation of Innovation in Turkey
Coğrafi Bilimler Dergisi
innovation
spatial determinants
geographically weighted regression
title Regional Determinants and Spatial Differentiation of Innovation in Turkey
title_full Regional Determinants and Spatial Differentiation of Innovation in Turkey
title_fullStr Regional Determinants and Spatial Differentiation of Innovation in Turkey
title_full_unstemmed Regional Determinants and Spatial Differentiation of Innovation in Turkey
title_short Regional Determinants and Spatial Differentiation of Innovation in Turkey
title_sort regional determinants and spatial differentiation of innovation in turkey
topic innovation
spatial determinants
geographically weighted regression
url https://dergipark.org.tr/tr/pub/aucbd/issue/68569/1041133
work_keys_str_mv AT suattuysuz regionaldeterminantsandspatialdifferentiationofinnovationinturkey
AT fatihaltug regionaldeterminantsandspatialdifferentiationofinnovationinturkey