Girdi-Çıktı Tablolarında Bilgi

Year 2022, Issue: 8, 1 - 11, 30.06.2022

Zeynep Karaca

Abstract

Geleneksel iktisat teorisinde üretim faktörleri işgücü, toprak ve sermaye olarak ele alınmaktadır. Yeni ekonomide ise “bilgi” bu üretim faktörlerine ilave edilmiştir. Bilgi, satılan ürün ve hizmetlerin içerisinde bulunmakta veya ürün ve hizmetin kendisini oluşturmaktadır. Bilginin bir üretim faktörü olması sebebiyle bu çalışmada, ekonomide bilginin rolünü tam olarak tespit etmek ve bilgi akışını göstermek amacıyla girdi çıktı tablosunda bilginin nasıl yer alacağı ile ilgili bir yöntem tanıtılmıştır. İlgili yöntem için Terleckyj 1974 ’nin metodu tercih edilmiştir. Bu metoda göre öncelikle “bilgi matrisi” denilen bir matris elde edilmelidir. Elde edilen bu matris aracılığıyla girdi-çıktı tablosundaki katma değer bloğunda emek ve sermayenin yanında bilgi faktörü; nihai talep bloğunda da tüketim harcamaları, yatırım harcamaları, kamu harcamaları, ihracat ve ithalatın yanında Ar-Ge harcamaları yer alır.

Keywords

Bilgi , Girdi-Çıktı Tablosu , İnovasyon

Information In Input Output Tables

Abstract

In traditional economic theory, the factors of production are considered as labor, land and capital. In the new economy, “knowledge” has been added to these production factors. Information is contained in the products and services sold or constitutes the product and service itself. Since information is a production factor, in this study, a method is introduced about how to place information in the input-output table in order to fully determine the role of information in the economy and to show the information flow. The method of Terleckyj 1974 was preferred for the related method. According to this method, first of all, a matrix called "information matrix" must be obtained. By means of this matrix obtained, in the value added block in the input-output table, besides labor and capital, the information factor; The final demand block includes consumption expenditures, investment expenditures, public expenditures, exports and imports, as well as R&D expenditures.

Keywords

Knowledge , Input-Output , Innovation

References

• Acs, Z.J., Audretsch, D. B., Lehmann, E. E. 2013 . The Knowledge Spillover Theory of Entrepreneurship. Small Business Economics, 41, 757-774.
• Arrow, K. J. 1999 . Annual World Bank Conference on Development Economics. Edited by Boris Pleskovik, Joseph E. Stiglitz. The World Bank, Washington D.C.
• Cerulli, G., Poti, B. 2007 . Measuring Intersectoral Knowledge Spillovers: An Application of Aensitivity Analysis to Italy. DRUID Summer Conference, Denmark.
• Chichilnisky, G. 1998 . The Knowledge Revolution. Journal of International Trade & Economic Development, 7 1 , 39-54.
• Dilek, S. 2016 . Enformasyon ve Bilgiye Dayalı Yeni Ekonomi. Kastamonu Üniversitesi İktisadi ve İdari Bilimler Dergisi, Sayı 11, 87-91.
• Düring, A., Schnabl, H. 2000 . Imputed Interindustry Technology Flows- A Comparative Smfa Analysis. Economic Systems Research, 12 3 , 363-375.
• Evenson, R. E., Johnson, D. 1997 . Introduction: Invention Input-Output Analysis. Economic Systems Research, 9 2 , 149-160.
• Harada, T. 2016 . Estimating Innovation Input-Output Matrix and Innovation Linkages in the East Asian Region ant the USA. Journal of Economic Structures, 5 9 , 1-24.
• Hur, W. 2017 . The Patterns of Knowledge Spillovers Across Technology Sectors Evidenced in Patent Citation Networks. Scientometrics, 111, 595-619.
• Jiao, J., Yang, Y., Bai, Y. 2018 . The impact of Inter-Industry R&D Technology Spillover on Carbon Emission in China. Nat Hazards, 91, 913-929.
• Kijek, A., Kijek, T. 2019 . Knowledge Spillovers: An Evidence from the European Regions. Journal of Open Innovation, 5 68 , 1-15.
• Kortum, S., Putnam, J. 1997 . Assigning Patents to Industries: Tests of the Yale Technology Concordance. Economic Systems Research, 9 2 , 161-176.
• Özsoy, S., Tunahan, H., Esen, S. 2019 . Effect of Knowledge Spillover on the Logistics Performance. Alphanumeric Journal, 7 3 , 45-58.
• Rahimi, E., Rostami, N. A., Shad, F. S., Vafaei, V. 2017 . The Importance of Knowledge Management on Innovation. Applied Mathematics in Engineering, Management and Technology, 5 1 , 68- 73.
• Scherer, F. M. 1982 . Inter-industry Technology Flows and Productivity Growth. The Review of Economics and Statistics, 64 4 , 627-634.
• Schumpeter, J. 1942 . Capitalism, Socialism and Democracy. New York: Harper.
• Terleckyj, N. E. 1974 . Effects of R&D on the Productivity Growth of Industries: An Exploratory Study. Technical Report 140. National Planning Association, Washington DC.
• Wing, Ian Sue. 2001 . Induced Technical Change in Computable General Equilibrium Models for Climate-Change Policy Analysis. Massachusetts Institute of Technology.
• Yeo, B. J. K. 2010 . Driving the Knowledge Economy: Explaining the Impact of Regional Innovation Capacity on Economic Performance. Contemporary Management Research, 6 1 , 71-86.