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Journals / İzmir İktisat Dergisi / 2015 / Cilt: 30 - Sayı: 1

The Role of R&D and Innovation in Regional Development: An Interregional Analysis with DEMATEL-Based Analytic Network Process (DANP) and TOPSIS Methods

Bölgesel Gelişmişlikte Ar-Ge ve İnovasyonun Rolü: Dematel Tabanlı Analitik Ağ Süreci (DANP) ve TOPSIS Yöntemleri ile Bölgelerarası Bir Analiz

Enver ÇAKIN
Aslı ÖZDEMİR
Pages
115–144
Publication Date
2015-06-30
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The criteria have been weighted by using the regression coefficients obtained through regression analysis in DEMATEL method and subsequently performance ranking of regions has been performed by TOPSIS method.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:R&D, innovation and information-based activities has become more important in recent years for regional development and elimination of regional development differences.
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Key Findings & Data:In this study, for years of 2010, 2011 and 2012 the innovation performance of 12 regions sited at first level of Nomenclature of Units for Territorial Statistics (NUTS) in Turkey, have been evaluated by taking basic R&D and innovation indicators into consideration.
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Conclusion & Impact:The criteria have been weighted by using the regression coefficients obtained through regression analysis in DEMATEL method and subsequently performance ranking of regions has been performed by TOPSIS method.
🔬Design:Research Article
📍Scope:2010 Verileri
⚙️Variables:İnovasyon · Ar-Ge · Regresyon Analizi

Abstract

R&D, innovation and information-based activities has become more important in recent years for regional development and elimination of regional development differences. Countries have also recognized that innovation is the most important factor of economic growth and begun to allocate more resource to R&D investments. In this study, for years of 2010, 2011 and 2012 the innovation performance of 12 regions sited at first level of Nomenclature of Units for Territorial Statistics (NUTS) in Turkey, have been evaluated by taking basic R&D and innovation indicators into consideration. In this context regression analysis, DEMATEL-Based Analytic Network Process (DANP) and TOPSIS methods have been applied. The criteria have been weighted by using the regression coefficients obtained through regression analysis in DEMATEL method and subsequently performance ranking of regions has been performed by TOPSIS method.

Özet

Son yıllarda, bölgesel kalkınma ve bölgesel gelişmişlik farklarının giderilmesinde, Ar-Ge, inovasyon ve bilgiye dayalı faaliyetler önem kazanmıştır. Ülkeler de ekonomik büyümenin en önemli unsurunun inovasyon olduğunu anlamışlar ve Ar-Ge yatırımlarına daha fazla kaynak ayırmaya başlamışlardır. Bu çalışmada, temel Ar-Ge ve inovasyon göstergeleri dikkate alınarak, Türkiye’de İstatistiki Bölge Birimleri Sınıflaması (İBBS) Düzey 1’de yer alan 12 adet bölgenin 2010, 2011 ve 2012 yıllarındaki inovasyon performansları değerlendirilmiştir. Bu kapsamda, regresyon analizi, DEMATEL tabanlı Analitik Ağ Süreci (DANP) ve TOPSIS yöntemlerinden faydalanılmıştır. Regresyon analizi yardımıyla elde edilen regresyon katsayıları DEMATEL yönteminde kullanılarak kriterler ağırlıklandırılmış ve daha sonra TOPSIS yöntemi ile de bölgelerin performans sıralaması yapılmıştır.

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Cite This Article

ÇAKIN, E., ÖZDEMİR, A. (2015). The Role of R&D and Innovation in Regional Development: An Interregional Analysis with DEMATEL-Based Analytic Network Process (DANP) and TOPSIS Methods. İzmir İktisat Dergisi, Cilt: 30 - Sayı: 1, 115–144. https://ajindex.com/articles/30024

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References (15)

  1. AKPINAR, R., ÖZDEMİR, A., ÇAKIN, E. (2013), “Türk İmalat Sanayi Verimlilik Göstergelerinin ELECTRE Yöntemi İle Değerlendirilmesi”, V. Ulusal Verimlilik Kongresi, 10-12 Aralık 2013,
  2. Ankara.
  3. CHANG, S.H., CHANG, H.Y. (2013), “Study on National Innovation Capacity and International Connection”, Innovation: Management, Policy & Practice, 15(4), 452-462.
  4. CHEN, K., GUAN, J. (2012), “Measuring The Efficiency of China’s Regional Innovation Systems: Application of Network Data Envelopment Analysis (DEA)”, Regional Studies, 46(3), 355–377.
  5. CHEN, C.P., HU, J.L., YANG, C.H. (2011), “An International Comparison of R&D Efficiency of Multiple Innovative Outputs: The Role of The National Innovation System”, Innovation: Management, Policy & Practice, 13(3), 341-360.
  6. CHEN, C.H., TZENG, G.H. (2011), “Assessment Model for Improving Educational Curriculum Materials Based on The DANP Technique with Grey Relational Analysis”, International Journal of Information Systems for Logistics and Management, 6(2), 23-36.
  7. CHENG, Y.L., LIN, Y.H. (2012), “Performance Evaluation of Technological Innovation Capabilities In Uncertainty”, Procedia - Social and Behavioral Sciences, 40, 287-314.
  8. CHIU, W.Y., TZENG, G.H., LI, H.L. (2013), “A New Hybrid MCDM Model Combining DANP with VIKOR to Improve E-store Business”, Knowledge-Based Systems, 37, 48-61.
  9. CZYZEWSKA, D. (2013), “Innovation Policy Instruments in Rhône-Alpes – Key Challenges and Future Orientations”, Poznań University of Economics Review, 13(2), 65-83.
  10. ÇAKIR, S., PERÇİN, S. (2013), “AB Ülkeleri’nde Bütünleşik Entropi Ağırlık-TOPSIS Yöntemiyle Ar-Ge Performansının Ölçülmesi”, Uludağ Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 32(1),77-95.
  11. ÇELİK, N. (2011), “Türkiye’nin Endüstriyel Performans Göstergeleri ve İnovasyon Faaliyeti”, Marmara Sosyal Araştırmalar Dergisi, 1, 1-16.
  12. DÖKMEN, G. (2012), “Bölgesel Yenilik Sistemlerinde Devletin Rolü: Düzey 2 Bölgelerine İlişkin Ampirik Bir Analiz”, Yönetim ve Ekonomi, 19(2), 143-163.
  13. FODDI, M., USAI, S. (2013), “Regional Knowledge Performance in Europe”, Growth and Change, 44(2), 258-286.
  14. GADAKH, V. S. (2012), “Parametric Optimization of Wire Electrical Discharge Machining Using TOPSIS Method”, Advances in Production Engineering & Management, 7(3), 157-164.
  15. HERAT, A.T., NOOROSSANA, R., PARSA, S., SERKANİ, E.S. (2012), “Using DEMATEL-Analytic Network Process (ANP) Hybrid Algorithm Approach for Selecting Improvement Projects of Iranian Excellence Model in Healthcare Sector”, African Jour