Analysis of Factors Affecting Innovation Outputs of Developed and Developing G20 Countries Using the Knowledge Production Function

Yıl 2020, Cilt: 9 Sayı: 5, 3874 - 3900, 29.12.2020

Ferhat Özbay Bekir Sami Oguzturk Aykut Sezgin

https://doi.org/10.15869/itobiad.797186

Cited By: 1

Öz

Today innovation is one of the most significant policy tools. From this perspective, the factors affecting innovation are receiving increasing attention. Despite the fact that innovation has the same theoretical meaning for developed and developing countries, its nature differs in terms of the factors affecting it. At the same time, the factors and environment that affect innovation, which is a dynamic process, are changing rapidly. In this respect, these changes and differences should be well observed and analysed.
This study investigates how the knowledge production function works on different country groups by comparing the developed and developing G20 countries with similar market size. In this respect, factors affecting innovation output on both developed and developing G20 countries are discussed. For the countries discussed, the study is carried out with panel data analysis covering 1995-2018 period. Driscoll-Kraay and Arellano-Bond GMM methods are used for panel data analysis. According to the empirical findings of the study, it has been observed that R-D has a positive effect on patent output both in case of a model with prior classification of countries with similar market size into developed and developing and in case of a model with no prior classification. It is also well understood that these effects vary according to the country group. Another important result is that unlike R-D other innovation inputs seem to have different effects according to the development classification of countries. While it is observed that different employment sectors have a significant effect on innovative output for all country groups it is understood that this effect differs according to country groups.

Anahtar Kelimeler

Innovation, patent, Knowledge Production Function, Development, Agriculture.

Gelişmiş ve Gelişmekte Olan G20 Ülkelerinin İnovasyon Çıktılarını Etkileyen Faktörlerin Bilgi Üretim Fonksiyonu ile Analizi

Öz

İnovasyon, günümüzün en önemli politika araçlarından biridir. Bu bakımdan inovasyonu etkileyen faktörler günümüzde ön plana çıkmaktadır. Özellikle gelişmiş ve gelişmekte olan ülkeler için inovasyon teorik olarak aynı anlamı ifade etmesine rağmen onu etkileyen etmenler farklılık göstermektedir. Aynı zamanda dinamik bir sürece de sahip olan inovasyonu etkileyen etmenler ve çıktıları, büyük bir hızla değişmektedir. Bu bakımdan bu değişiklikler ve farklılıklar iyi gözlenmeli ve incelenmelidir.
Bu çalışmada, benzer pazar büyüklüğüne sahip G20 ülkeleri ile yine G20 içinde; gelişmiş ve gelişmekte olarak sınıflandırılan ülkeler karşılaştırarak bilgi üretim fonksiyonunun farklı ülke grupları üzerinde nasıl çalıştığını araştırılmaktadır. Bu bakımdan, gerek G20 gerekse de gelişmiş ve gelişmekte olan ülkeler üzerinde inovasyon çıktısını etkileyen etmenler tartışılmıştır. Ele alınan ülkeler için 1995-2018 dönemini kapsayan panel veri analizi yöntemiyle çalışma yürütülmüştür. Panel analizi için Driscoll-Kraay ile Arellano Bond GMM yöntemi kullanılmıştır. Çalışmanın ampirik bulgularına göre, benzer pazar büyüklüğüne sahip tüm örneklem ile benzer pazar büyüklüğüne sahip fakat gelişmiş ve gelişmekte olarak sınıflandırılan ülkelerde Ar-Ge’nin patent çıktısı üzerinde pozitif bir etkiye sahip olduğu gözlenmiş ayrıca bu etkilerin ülke grubuna göre de değiştiği anlaşılmıştır. Diğer önemli bir sonuç Ar-Ge’nin yanında diğer inovasyon girdilerinin, ülkelerin gelişmişlik sınıflandırmasına göre farklı etkilere sahip olduğu da ortaya çıkmıştır. Tüm ülke grupları için farklı istihdam alanlarının inovatif çıktı üzerinde önemli bir etkiye sahip olduğu görülürken; bu etkinin, ülke gruplarına göre farklılaştığı anlaşılmıştır.

Anahtar Kelimeler

İnovasyon, patent, Bilgi Üretim Fonksiyonu, Kalkınma, Tarım

Kaynakça

• Abdih, Y. - Joutz, F. (2006). Relating the knowledge production function to total factor productivity: an endogenous growth puzzle. IMF Staff Papers, 53(2), ss: 242-271.
• Abramovitz, M. (1956), “Resource And Output Trends İn The United States Since 1870”. In Resource And Output Trends İn The United States Since 1870, (ss: 1-23), NBER.
• Acs, Z. J., Braunerhjelm, P., Audretsch, D. B. - Carlsson, B. (2009). The knowledge spillover theory of entrepreneurship, Small business economics, 32(1), ss: 15-30.
• Acs, Z. J., Anselin, L. - Varga, A. (2002). Patents and innovation counts as measures of regional production of new knowledge, Research policy, 31(7) ss: 1069-1085.
• Aghion, P. – Howitt, P. (1992). A Model of Growth Through Creative Destruction, Econometrica, 60 (2), ss: 323-351.
• Aghion, P. – Howitt, P. (1998). Endogenous Growth Theory, Cambridge, MA: MIT Press.
• Akay, Ç. E. (2015). Dinamik Panel Veri Modelleri, Editör: Selahattin Güriş, İçinde: Stata ile Panel Veri Modelleri (ss.81-104) , İstanbul: DER Yayınevi.
• Anderson, N., Potočnik, K. - Zhou, J. (2014). Innovation And Creativity İn Organizations: A State-Of-The-Science Review, Prospective Commentary, And Guiding Framework. Journal of management, 40(5), ss: 1297-1333.
• Arellano, M. - Bond, S. (1991). Some Tests of Specification for Panel Data: Monte Carlo Evidence and An Application to Employment Equations. The Review of Economic Studies, 58(2), ss: 277-297.
• Arrow, K. J. (1961). The Economıc Implıcatıons Of Learnıng By Doıng (No. Tr-101). Stanford Unıv Ca Applıed Mathematıcs And Statıstıcs Labs.
• Arrow, K. (1962). “Economic welfare and the Allocation of resources for invention”. In N. Bureau, The Rate and Direction of inventive Activity: Ecnomic and social factors (ss. 609-626). Princeton University press.
• Autant-Bernard, C. - LeSage, J. P. (2019). A heterogeneous coefficient approach to the knowledge production function. Spatial Economic Analysis, 14(2), ss: 196-218.
• Aytaç, D. (2015). Yeniliğin Finansmanı: Girişim Sermayesi. Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi, 16(1), ss: 59-80.
• Babbage, C. (1832). On the Economy of Machines and Manufactures. London, [publisher not known]: Digitally printed version (2009), Cambridge: Cambrıdge Unıversıty Press.
• Baldwin, R. E. (1956). Patterns Of Development İn Newly Settled Regions. The Manchester School, 24(2), ss: 161-179.
• Baltagi, B. H. - Wu, P. X. (1999). Unequally Spaced Panel Data Regressions with AR (1) Disturbances. Econometric Theory, 15(6), ss: 814-823.
• Barro, R. J. (1990). Government Spending İn A Simple Model Of Endogeneous Growth. Journal of political economy, 98(5, Part 2), ss: 103-125.
• Bhargava, A.- Franzini, L., Narendranathan, W. (1982). Serial Correlation and The Fixed Effects Model. The Review of Economic Studies, 49(4), ss: 533-549.
• Blaug, M. (1963). A Survey Of The Theory Of Process-İnnovations. Economica, 30(117), ss: 13-32.
• Bloss, R. (2014). Robot İnnovation Brings to Agriculture Efficiency, Safety, Labor Savings and Accuracy By Plowing, Milking, Harvesting, Crop Tending/Picking and Monitoring. Industrial Robot: An International Journal. 41(6), ss: 493–499.
• Breusch, T. S. - Pagan, A. R. (1980). The Lagrange Multiplier Test and İts Applications to Model Specification in Econometrics. The Review of Economic Studies, 47(1), ss: 239-253.
• Chakraborty, S. K. - Mazzanti, M. (2019). Modelling the Green Knowledge Production Function with Latent Group Structures for OECD countries (No. 0719). SEEDS, Sustainability Environmental Economics and Dynamics Studies.
• Champernowne, D. G. (1953). The Production Function And The Theory Of Capital: A Comment. The Review of Economic Studies, 21(2), ss: 112-135.
• Charlot, S., Crescenzi, R. - Musolesi, A. (2014). Econometric Modelling Of The Regional Knowledge Production Function in Europe. Journal of Economic Geography, 15(6), ss: 1227-1259.
• Conte, A. - Vivarelli, M. (2005). One Or Many Knowledge Production Functions? Mapping İnnovative Activity Using Microdata. IZA Discussion Papers, No. 1878, Institute for the Study of Labor (IZA), Bonn.
• Czarnitzki, D. Kraft, K. - Etro, F. (2008). The effect of entry on R-D investment of leaders: Theory and empirical evidence. ZEW-Centre for European Economic Research Discussion Paper, (08-078).
• David, P. (1966). “The Mechanization Of Reaping İn The Ante-Bellum Midwest”, in H. Rosovsky, Ed. Industrialization İn Two Systems (ss. 3–39). Cambridge, MA: Harvard University Press.
• Fromm, G. - Denison, E. F. (1963). The Sources of Economic Growth in the United States and the Alternatives Before Us. Journal of the American Statistical Association, 58(304), 1168.
• Dethier, J. J. - Effenberger, A. (2011). Agriculture and development: A brief review of the literature. The World Bank.
• Driscoll, J. C. - A. C. Kraay. (1998). Consistent Covariance Matrix Estimation with Spatially Dependent Panel Data. Review of Economics and Statistics 80, ss: 549–560.
• Drucker, F. P. (1985). Innovation And Entrepreneurship. New York: Harper - Row.
• Fellner, W. (1961). Two Propositions in the Theory of Induced Innovations. The Economic Journal, 71 (282), ss: 305-308.
• Fritsch, M. (2002). Measuring The Quality Of Regional İnnovation Systems: A Knowledge Production Function Approach. International Regional Science Review, 25(1), ss: 86-101.
• Greene, W. H. (2018). Econometric analysis (8th edition). New York: Pearson Education.
• Griliches, Z. Pakes A. – Hall, B.H. (1987). “The Value Of Patents As İndicators Of İnventive Activity”, In P. Dasgupta And P. Stoneman, (Eds.), Economic Policy And Technological Performance (ss. 97-124.). Cambridge: Cambridge University Press.
• Griliches, Z. (1957). Hybrid Corn: An Exploration in the Economics of Technological Change. Econometrica, Oct. 1957, 25(4), ss: 501-22.
• Griliches, Z. (1979). Issues in Assessing The Contribution of Research and Development to Productivity Growth. Bell Journal of economics, 10(1), ss: 92-116.
• Griliches, Z. (1990). Patent Statistics as Economic Indicators: A Survey. Journal of Economic Literature. American Economic Association, 28(4), ss: 1661-1707.
• Grossman, G. M. - Helpman, E. (1991). Quality Ladders in The Theory of Growth. The review of economic studies, 58(1), ss: 43-61.
• Gujarati, D. N. (2016). Örneklerle Ekonometri. Çeviri: Bolatoğlu, N. Ankara: Bb101 Yayınları.
• Güriş. S. Çağlayan. E ve Güriş B (2013). Eviews ile temel ekonometri. İstanbul: Der yayınevi.
• Hall, B. H. - Mairesse, J. (2006). Empirical Studies Of İnnovation İn The Knowledge-Driven Economy. Economics Of İnnovation And New Technology. 15(4-5), 289-299. Hall, B. H., Griliches, Z. - Hausman, J. A. (1984). Patents and R-D: Is there a lag? (No. w1454). National Bureau of Economic Research.
• Hausman, J. A. (1978). Specification Tests in Econometrics. Econometrica: Journal of the Econometric Society, ss: 1251-1271.
• Hausman, J. A., Hall, B. H. - Griliches, Z. (1984). Econometric models for count data with an application to the patents-R-D relationship (No. t0017). national bureau of economic research.
• Hayami, Y. - Ruttan, V. W. (1970b), Factor Prices And Technical Change İn Agricultural Development: The United States And Japan, 1880-1960. Journal of Political Economy, 78(5). ss: 1115-1141.
• Hoechle, D. (2007). Robust Standard Errors for Panel Regressions with Cross-Sectional Dependence. The stata journal, 7(3), ss: 281-312.
• https://blogs.worldbank.org/opendata/new-country-classifications-income-level-2019-2020
• Human Development Report 2019, http://hdr.undp.org/sites/default/files/hdr2019.pdf
• Hunt, R. C. (2000). Labor Productivity and Agricultural Development: Boserup Revisited. Human Ecology, 28(2), ss: 251-277.
• Igna, I. A. - Venturini, F. (2019). The impact of educational mismatch on returns to R-D: evidence from manufacturing in OECD countries. Economics of Innovation and New Technology, 28(5), 435-464.
• Judson, R.A. - A.L. Owen, (1999). Estimating Dynamic Panel Data Models: A Guide for Macroeconomists. Economics Letters, 65, ss: 9–15.
• Karlılar, S. - Kıral, G. (2018). Vergiye Öğrenci Bakış Açısı: Çukurova Üniversitesi Örneği. Çukurova Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 22(1), 45-66.
• Katipoglu, P. - Armağan, G. (2020). Tarımda Beşerî ve Sosyal Sermayenin Kırsal Kalkınmada Önemi. İzmir İktisat Dergisi, 35(1), ss: 155-175.
• Katz, M. H. (2011). Multivariable Analysis: A Practical Guide for Clinicians and Public Health Researchers. Cambridge: Cambridge University Press.
• Kibritçioğlu, A. (1998). İktisadi Büyümenin Belirleyicileri ve Yeni Büyüme Modellerinde Beşerî Sermayenin Yeri. Ankara Üniversitesi. SBF Dergisi, 53(1-4), ss: 207-230.
• Kuznets, S. (1962). “Inventive Activity: Problems of Definition and Measurement”, in R. R. Nelson, (eds). In The rate and direction of inventive activity: Economic and social factors (ss. 19-52), Princeton: Princeton University Press.
• Labra, R. - Torrecillas, C. (2018). Estimating Dynamic Panel Data. A Practical Approach to Perform Long Panels. Revista Colombiana de Estadística, 41(1), ss: 31-52.
• Langrish, J., Gibbons, M., Evans, W. G. - Jevons, F. R. (1972). Wealth from knowledge: Studies of innovation in industry. London and Basingstoke: The Macmıllan Press Ltd.
• Lucas Jr, R. E. (1988). On The Mechanics of Economic Development. Journal of Monetary Economics, 22(1), ss: 3-42.
• Lundvall, B.-A. 2004. “The Economics of Knowledge and Learning”, in J.L. Christensen and B.- ˚ A. ˚ Lundvall (eds.), Product Innovation, Interactive Learning and Economic Performance (ss. 21–42). (Research on Technological Innovation and Management Policy, volume 8). Amsterdam: Elsevier.
• Mansfield, E. (1961). Technical change and the rate of imitation. Econometrica: Journal of the Econometric Society, 29, ss: 741-766.
• Marshall, A. (1890). Principles of Economics. (8th ed. Published in 1920). Macmillan. London. Marx, K. (1867). Das kapital. Buch I. English edition: Marx, K.(1976). Capital. Volume, 1.
• Nelson, R. R. (1959). The Simple Economics of Basic Scientific Research. Journal of Political Economy, 67(3), 297-306. Published by: The University of Chicago Press
• Nelson, R.R. - Winter, S.G. (1982). An Evolutionary Theory Of Economic Change. Harvard University Press, Cambridge, Ma.
• Nyholm, J., L. Normann, C., Frelle-Petersen, M. Riis - Torstensen. P. (2001). “Innovation Policy in the Knowledge-Based Economy: Can Theory Guide Policy-Making?’ In Archibugi and Lundvall (eds). Europe in the Globalizing Learning Economy. Oxford: Oxford University Press, 253–272.
• Özcan, S. E. - Özer, P. (2017). Ar-Ge Harcamaları ve Patent Başvuru Sayısının Ekonomik Büyüme Üzerindeki Etkileri: OECD Ülkeleri Üzerine Bir Uygulama. Anadolu Üniversitesi Sosyal Bilimler Dergisi, 18(1), 15-28.
• Pakes, A. - Griliches, Z. (1980). Patents and R-D at the Firm Level: A First Look, NBER Workıng Paper Serıes. Working Paper No. 561. 1050 Massachusetts Avenue Cambridge MA.
• Pardey, P. G. (1989). The agricultural knowledge production function: An empirical look. The Review of Economics and Statistics, 453-461.
• Pellegrino, G. - Piva, M. (2020). Innovation, industry and firm age: are there new knowledge production functions?. Eurasian Business Review, 10(1), 65-95.
• Piscitello, L. - Santangelo, G. D. (2009). Does R-D offshoring displace or strengthen knowledge production at home? Evidence from OECD countries. Evidence from OECD Countries (January 28, 2009).
• Ponds, R., Oort, F. V. - Frenken, K. (2009). Innovation, spillovers and university–industry collaboration: an extended knowledge production function approach. Journal of Economic Geography, 10(2), 231-255.
• Rebelo, S. (1991). Long-Run Policy Analysis and Long-Run Growth. Journal of political Economy, 99(3), ss: 500-521.
• Restuccia, D., Yang, D. T. - Zhu, X. (2008). Agriculture And Aggregate Productivity: A Quantitative Cross-Country Analysis. Journal of Monetary Economics, 55(2), ss: 234–250.
• Ricardo, D. (1821). “On Machinery” [In:] On the Principles of Political Economy and Taxation. Chapter 31. London: John Murray. 1821.3rd edition. Library of Economics and Liberty [Online] available from http://www.econlib.org/library/Ricardo/ricP7.html; (accessed 12 April 2018)
• Romer, P. M. (1986). Increasing Returns and Long-Run Growth. Journal of political economy, 94(5), ss: 1002-1037.
• Romer, P. (1989). Endogenous Technological Change, (No. w3210). National Bureau of Economic Research.
• Roodman, D. (2009). How to do xtabond2: An introduction to difference and system GMM in Stata. The Stata Journal, 9(1), ss: 86-136.
• Ruttan, V. W. (1959). Usher and Schumpeter on İnvention, İnnovation, and Technological Chang. Quarterly Journal of Economics (Published by: Oxford University Press), 73(4), ss: 596–606.
• Santos, L. A. - Barrios, E. B. (2011). Small Sample Estimation in Dynamic Panel Data Models: A Simulation Study. Open Journal of Statistics, 1(2), ss: 58-73.
• Saraç, Ş. (2011). İnovasyonun Belirleyicileri: Gelişmiş ve Gelişmekte Olan Ülkeler İçin Ampirik Bir Analiz. Danışman: Doç. Dr. Şevket Tüylüoğlu, T.C. Zonguldak Karaelmas Üniversitesi Sosyal Bilimler Enstitüsü İktisat Anabilim Dalı Doktora Tezi. Zonguldak.
• Say, J.B. (1821/1880). A Treatıse On Polıtıcal Economy Or The Productıon, Dıstrıbutıon And Consumptıon Of Wealth. Reprinted By Augustus M. Kelley,(1971). Publıshers Reprınts Of Economıc Classıcs New York Translated From The Fourth Edıtıon Of The French, By C. R. Prınsep, M. A.
• Schmookler, J. (1950). The Interpretation of Patent Statistics. Journal of the Patent Office Society, 32(2), ss: 123-146.
• Schmookler, J. (1962). Economic Sources of İnventive Activity. The Journal of Economic History, 22(1), 1-20.
• Schumpeter, J. A. (1934). The Theory of Economic Development: An Inquiry into Profits, Capital, Credit, Interest, and the Business Cycle. Translated from the German by Redvers Opie. New Brunswick, N.J. : Transaction Publisher (1983).
• Shalley, C. E., M. A. Hitt, - J. Zhou. (2015). “Integrating Creativity, İnnovation, and Entrepreneurship To Enhance The Organization’s Capability To Navigate İn The New Competitive Landscape”, (ss:1–14), C. E. Shalley, M. A. Hitt, J. Zhou, eds. Oxford Handbook of Creativity, Innovation, and Entrepreneurship. Oxford University Press, New York.
• Smith, A. (1776). An Inquiry into the Nature and Causes of the Wealth of Nations. Introduction (2003) by Alan B. Kruger, Edited, with Notes, Marginal Summary and an Enlarged Index by Edwin Cannan in 1904.
• Soete, L. L. - Ter Weel, B. J. (1999). Innovation, Knowledge Creation and Technology Policy: The Case Of The Netherlands. De Economist, 147(3), ss: 293-310.
• Solow, R. M. (1957). Technical Change and the Aggregate Production Function. Review of Economics and Statistics, 39(3), ss: 312–320.
• Stolper, W. F. - Samuelson, P. A. (1941). Protection and Real Wages. The Review of Economic Studies, 9(1), ss: 58-73.
• Studenmund, A. (2011). Using Economics: A Practical Guide (6th), USA: Boston.
• Suranyi-Unger, T. (1963). The Role of Knowledge in Invention and Economic Development. American Journal of Economics and Sociology, 22(4), ss: 463-472.
• Sweezy, P. M. (1943). Professor Schumpeter's Theory of Innovation. The review of economic statistics, 25(1): 93–96.
• Tabachnick, B. G. - Fidell, L. S. (2013). Using Multivariate Statistics (Sıxth Edıtıon), New Jersey: Pearson Education.
• Tarı, R. (2014). Ekonometri (10. Basım), Kocaeli: Umuttepe Yayınları.
• Tatoğlu, F. (2012). İleri Panel Veri Analizi- Stata Uygulamalı, İstanbul, BETA Yayınları.
• Topaloğlu, E. E. (2018). Bankalarda finansal kırılganlığı etkileyen faktörlerin panel veri analizi ile belirlenmesi. Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi, 13(1), 15-38.
• Uluyol, O. ve Türk, V.E. (2013). Finansal Rasyoların Firma Değerine Etkisi: Borsa İstanbul (BİST)’da Bir Uygulama. Afyon Kocatepe Üniversitesi İİBF Dergisi, XV( II), 365‐384.
• Usher, A. P. (1955). “Technical Change and Capital Formation”, İn, Capital Formation and Economic Growth (pp 523–550), Harry Scherman, National Bureau of Economic Research. Publisher: Princeton University Press.
• Veblen, T. (1898). Why is economics not an evolutionary science?, Quarterly Journal of Economics, 12(4), ss: 373-397.
• WEF (2019). The Global Competitiveness Report 2019. (Küresel Rekabet Raporu): http://www3.weforum.org/docs/WEF_TheGlobalCompetitivenessReport2019.pdf.
• Werker, C. - Athreye, S. (2004). Marshall’s Disciples: Knowledge and Innovation Driving Regional Economic Development and Growth. Journal of Evolutionary Economics, 14(5), ss: 505-523.
• Wooldridge, J. M. (2002). Econometric Analysis of Cross Section and Panel Data MIT Press. Cambridge, MA, 108.
• Yueh, L. (2009). Patent laws and innovation in China. International Review of Law and Economics, 29(4), 304-313.