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Knowledge Space, Relatedness and Complexity: A Regional Analysis in Turkey

Author

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  • Sedef AKGÜNGÖR

    (Department of Economics, Dokuz Eylül University, Faculty of Business, İzmir, Turkey)

  • Mert ABAY

    (Department of Economics, College of Europe, European Economic Studies, Bruges, Belgium and Dokuz Eylül University, Faculty of Business, İzmir, Turkey)

Abstract

Regional development policies based on regions’ core strengths are key for innovation. For sustainable growth, regions would discover their own growth paths grounded on their core knowledge base. Although there are studies focusing on regional clustering of economic ac-tivity in Turkey, little is known related to regions’ potential to attract new technologies based on their core strenghts. The first objective of the paper is to map knowledge space in Turkey for 2010 and 2017. The second objective of the paper is to understand relatedness and knowledge complexity in Turkey’s NUTS3 regions. The third objective is to demonstrate the relationship of regional innovativeness with relatedness and knowledge complexity across Turkey’s regions. Relatedness of the regions is operationalized by relatedness density. Knowledge complexity is operationalized by knowledge complexity index. We use regression analysis to understand the correlation of patent applications with regions’ relatedness density and knowledge complexity. As a control variable, diversity variable is used. The analysis demonstrates that knowledge space in Turkey became denser between 2010 and 2017 and there are variations across regions with respect to relatedness and knowledge complexity. Diversity and relatedness density are positively correlated with patent applications while complexity does not have a correlation with regional innovativeness.

Suggested Citation

  • Sedef AKGÜNGÖR & Mert ABAY, 2021. "Knowledge Space, Relatedness and Complexity: A Regional Analysis in Turkey," Yildiz Social Science Review, Yildiz Technical University, vol. 7(2), pages 110-122, December .
    • Handle: RePEc:aye:journl:v:7:y:2021:i:2:p:110-122
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    References listed on IDEAS

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    Cited by:

    1. Ibrahim Tuğrul Çınar & Ilhan Korkmaz & Tüzin Baycan, 2022. "Regions’ economic fitness and sectoral labor productivity: Evidence from Turkey," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(3), pages 575-598, June.

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    More about this item

    Keywords

    Branching; relatedness density; knowledge space; regional diversifi-cation; regional development; smart specialization; patents; Turkey; JEL Classification: R10; R11 R58Journal: Yildiz Social Science Review;
    All these keywords.

    JEL classification:

    • F00 - International Economics - - General - - - General
    • F30 - International Economics - - International Finance - - - General
    • G00 - Financial Economics - - General - - - General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • K00 - Law and Economics - - General - - - General (including Data Sources and Description)
    • K20 - Law and Economics - - Regulation and Business Law - - - General
    • M00 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - General - - - General
    • M20 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - General
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General

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