İMALAT SANAYİ SEKTÖRÜNDE ÜRETİM VE BANKA KREDİLERİ İLİŞKİSİ: TÜRKİYE İÇİN EŞBÜTÜNLEŞME VE NEDENSELLİK ANALİZİ

Sanayi sektörünün en büyük alt sektörü konumundaki imalat sanayi sektörü; özellikle Türkiye’nin de içinde bulunduğu gelişmekte olan ülkelerde ihracatın, istihdamın ve inovasyonların önemli bir kaynağı olarak ekonomik büyümeye katkı sağlamaktadır. Dış finansman kaynağı olarak hisse senedi ihracı ile özkaynak finansmanı imkânlarının yetersiz olduğu ülkemizde, imalat sanayi işletmeleri banka kredilerini sabit varlık ve çalışma sermayesi finansmanında yoğun olarak kullanmaktadır. Çalışmada aylık imalat sanayi üretim endeksi ile yurtiçi bankaların imalat sanayi sektörüne kullandırdığı aylık nakdi kredi hacmi arasındaki ilişkiler, 1999-2015 dönemi verileriyle Türkiye için Johansen eşbütünleşme testi ve VECM’ye dayalı Granger nedensellik testi ile araştırılmıştır. Ekonometrik analiz sonuçları; imalat sanayi sektöründe üretim ve banka kredilerinin eşbütünleşik olduğunu, aralarında uzun dönemde pozitif bir ilişkinin bulunduğunu ve üretimden banka kredilerine doğru bir nedenselliğin varlığını göstermektedir. Analiz sonuçları; finansal sektörün reel ekonominin ihtiyaçlarına göre şekil aldığını savunan talep-takipli görüşü, Türkiye imalat sanayi sektörü özelinde, desteklemektedir.                Anahtar Kelimeler: İmalat Sanayi Sektörü, Banka Kredileri, Eşbütünleşme, Nedensellik, Vektör Hata Düzeltme Modeli (VECM).

RELATIONSHIP BETWEEN PRODUCTION AND BANK CREDITS IN MANUFACTURING INDUSTRY SECTOR: COINTEGRATION AND CAUSALITY ANALYSIS FOR TURKEY

Manufacturing industry sector, the largest subsector of industry sector, contributes to economic growth as an important source of export, employment and innovations especially in developing countries including Turkey. In our country where equity financing by issuing shares as external source possibilities are insufficent, manufacturing industry businesses use bank credits intensely for financing fixed assets and working capital. In this article relations between monthly manufacturing industry production index and monthly volume of cash credit to manufacturing industry sector given by domestic banks have been searched for Turkey with 1999-2015 data by using Johansen cointegration test and VECM based Granger causality test. Econometric analysis results show that production and bank credits in the manufacturing industry sector are cointegrated, there is a positive relationship between these variables and causality from production to bank credits in the long run. Analysis results for Turkish manufacturing industry sector support the demand following view stating that financial sector follows real economy.                Key-words: Manufacturing Industry Sector, Bank Credits, Cointegration, Causality, Vector Error Correction Model (VECM).

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  • Akgüç, Ö. (1998). Finansal Yönetim. İstanbul: Avcıol Basım Yayın.
  • Altıntaş, H. ve Ayrıçay, Y. (2010). Türkiye’de finansal gelişme ve ekonomik büyüme ilişkisinin sınır testi yaklaşımıyla analizi: 1987-2007. Anadolu Üniversitesi Sosyal Bilimler Dergisi, 10 (2): 71-98.
  • Asteriou, D. ve Hall, S.G. (2007). Applied econometrics. New York: Palgrave Macmillan.
  • Beck, T., Demirgüç-Kunt, A. ve Peria, M.S.M. (2008). Banking SMEs around the world: Lending practices, business models, drivers and obstacles. http://siteresources.worldbank.org/INTFR/Resources/BeckDemirgucKuntMartinezPeria.pdf , (6.4.2016).
  • Bekhet, H.A. ve Yusop, N.Y.M. (2009). Assessing the relationship between oil prices, energy consumption and macroeconomic performance in Malaysia: Cointegration and VECM approach. International Business Research, 2 (3): 152-175.
  • Brooks, C. (2008). Introductory econometrics for finance. New York: Cambridge University Press.
  • Cantore, N., Clara, M. ve Soare, C. (2014). Manufacturing as an engine of growth: Which is the best fuel?. UNIDO Working Paper 01/2014. http://www.unido.org/Data1/Statistics/Utilities/docnew.cfm?id=231&i=1, (1.4.2016).
  • Dünya Bankası (The World Bank) (2016). Enterprise surveys. http://www.enterprisesurveys.org/, (19.3.2016).
  • Dünya Bankası (The World Bank) (2016). World development indicators. http://wdi.worldbank.org/tables, (17.3.2016).
  • Enders, W. (2014). Applied econometric time series. New Jersey: John Wiley&Sons.
  • Engle, R.F. ve Granger, C.W.J. (1987). Co-integration and error correction: Representation, estimation and testing. Econometrica, 55 (2): 251-276.
  • Ericsson, N.R. (1991). Cointegration, exogeneity, and policy analysis: An overview. Board of governors of the Federal Reserve System, International Finance Discussion Papers, No: 415.
  • Fagerberg, J. ve Verspagen, B. (1999). ‘Modern capitalism’ in the 1970s and 1980s. Mark Setterfield (Ed.). Growth, employment and inflation: İçinde 113-126. London: Macmillan.
  • Fagerberg, J. ve Verspagen, B. (2002). Technology-gaps, innovation-diffusion and transformation: an evolutionary interpretation. Research Policy, 31 (8-9): 1291-1304.
  • Granger, C.W.J. (1969). Investigating causal relations by econometric models andcross-spectral methods. Econometrica, 37 (3): 424-438.
  • Granger, C.W.J. (1981). Some properties of time series data and their use in econometric model specification. Journal of Econometrics, 16 (1): 121-130.
  • Granger, C.W.J. ve Newbold, P. (1974). Spurious regression in econometrics. Journal of Econometrics, 2 (1974): 111-120.
  • Greene, W.H. (2003). Econometric analysis. New Jersey: Pearson Education.
  • Greenwood, J. ve Jovanovic, B. (1990). Financial development, growth, and the distribution of income. The Journal of Political Economy, 98 (5): 1076-1107.
  • Gujarati, D.N. (2003). Basic econometrics. New York: McGraw-Hill.
  • Gurley, J.G. ve Shaw E.S. (1967). Financial structure and economic development. Economic Development and Cultural Change, 15 (3): 257-268.
  • IW (Institut der deutschen Wirtschaft) (2013). Industry as a growth engine in the global economy. Köln.
  • Johansen, S. (1988). Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12 (1988): 231-254.
  • Johansen, S. (1991). Estimation and hypothesis testing of cointegration vectors in Gaussian vector autoregressive models. Econometrica, 59 (6): 1551-1580.
  • Johansen, S. ve Juselius, K. (1990). Maximum likelihood estimation and inference on cointegration-with applications to the demand for money. Oxford Bulletin of Economics and Statistics, 52 (2): 169-210.
  • Kang, J.W. (2015). Interrelation between growth and inequality. ADB Economics Working Paper Series No: 447.
  • Kar, M. ve Pentecost, E.J. (2000). Financial development and economic growth in Turkey: further evidence on the causality issue. Loughborough University Economic Research Paper No: 00/27.
  • King, R.G. ve Levine, R. (1993). Finance and growth: Schumpeter might be right. The Quarterly Journal of Economics, 108 (3): 717-737.
  • Levine, R. (1997). Financial development and economic growth: Views and agenda. Journal of Economic Literature, Vol. XXXV: 688-726.
  • Libanio, G.(2007). Manufacturing industry and economic growth in Latin America: A Kaldorian approach. http://www.policyinnovations.org/ideas/ policy_library/data/01384/_res/id=sa_File1/Libanio_manufacturing.pdf, (5.4.2016).
  • Loizides, J. ve Vamvoukas, G. (2005). Government expenditure and economic growth: Evidence from trivariate causality testing. Journal of Applied Economics, VIII (1): 125-152.
  • Lucas, R.E. (1988). On the mechanics of economic development. Journal of Monetary Economics, 22 (1988): 3-42.
  • Mamgain, V. (1999). Are the Kaldor-Verdoorn laws applicable in the newly industrializing countries?. Review of Development Economics, 3 (3): 295-309.
  • McKinnon, R.I. (1973). Money and capital in economic development. Washington D.C.: The Brookings Institution.
  • McKinsey (2012). Manufacturing the future: The next era of global growth and innovation. http://www.mckinsey.com/business-functions/operations/our-insights/the-future-of-manufacturing , (3.4.2016).
  • Mercan, Mehmet ve Peker, Osman (2013). Finansal gelişmenin ekonomik büyümeye etkisi: Ekonometrik bir analiz. Osmangazi Üniversitesi İİBF Dergisi, 8 (1), 93-120.
  • Naude, W. and Szirmai, A. (2012). The importance of manufacturing in economic development: Past, present and future perspectives. Working paper series/United Nations University, UNU-MERIT. http://www.merit.unu.edu /publications/wppdf/2012/wp2012-041.pdf , (3.4.2016).
  • Özcan, B. ve Arı, A. (2011). Finansal gelişme ve ekonomik büyüme arasındaki ilişkinin ampirik bir analizi: Türkiye örneği. Business and Economics Research Journal, 2 (1): 121-142.
  • Özün, A. ve Çifter, A. (2007). Industrial production as a credit driver in banking sector: An empirical study with wavelets. Bank and Bank Systems, 2 (2): 69-80.
  • Pagano, M. (1993). Financial markets and growth. European Economic Review, 37 (1993): 613-622.
  • Pantula, S.G. (1989). Testing for unit roots in time series data. Econometric Theory, 5 (2): 256-271.
  • Patrick, H. (1966). Financial development and economic growth in underdeveloped countries. Economic Development and Cultural Change, 14 (2): 174-189.
  • Pons-Novell, J. ve Viladecans-Marsal, E. (1998). Kaldor’s laws and spatial dependence: evidence for the European regions. Regional Studies, 33 (5): 443-451.
  • Ritchie, F., Thomas, A.D. ve Welpton, R. (2012). What’s a manufacturing job?. Working Paper. University of the West of England. http://eprints.uwe.ac.uk/22517, (2.4.2016).
  • Robinson, J. (1952). The rate of interest and other essays. London: Macmillan.
  • Rodrik, D. (2006). Industrial development: Stylized facts and policies. https://www.sss.ias.edu/files/pdfs/Rodrik/Research/industrial-development.pdf , (9.4.2016).
  • Rodrik, D. (2009). Growth after the crisis. https://www.sss.ias.edu/files/pdfs/Rodrik/Research/Growth-after-the-crisis.pdf ,(8.4.2016).
  • Schumpeter, J.A. (1934). The theory of economic development: An inquiry into profits, capital, credit, interest and the business cycle. Oxford: Oxford University Press.
  • Shaw, E.S. (1973). Financial deepening in economic development. New York: Oxford University Press.
  • Szirmai, A. (2011). Manufacturing and economic development. WIDER Working Paper No: 2011/75. https://www.wider.unu.edu/sites/default/files/wp2011-075.pdf ,(7.4.2016).
  • Tsay R.S. (2005). Analysis of financial time series. New Jersey: John Wiley&Sons.
  • Türkiye Bankalar Birliği (TBB) (2016) İstatistiki raporlar. https://www.tbb.org.tr/tr/bankacilik/banka-ve-sektor-bilgileri/istatistiki-raporlar/59, (1.4.2016).
  • Türkiye Bankalar Birliği (TBB) Risk Merkezi (2016). İstatistiki raporlar. https://www.riskmerkezi.org/tr/istatistikler/23, (22.3.2016).
  • Türkiye Cumhuriyet Merkez Bankası (TCMB) (2016). İstatistikler.
  • http://www.tcmb.gov.tr/wps/wcm/connect/TCMB+TR/TCMB+TR/Main+Menu/Istatistikler, (5.4.2016).
  • Türkiye İstatistik Kurumu (TÜİK) (2016). Temel istatistikler. http://www.tuik.gov.tr/UstMenu.do?metod=temelist, (3.4.2016).
  • UNIDO (United Nations Industrial Development Organization) (2015). Industrial Development Report 2016. Vienna.
  • Vurur, S.N. ve Özen, E. (2013). Türkiye’de mevduat banka kredisi ve ekonomik büyüme ilişkisinin incelenmesi. Uşak Üniversitesi Sosyal Bilimler Dergisi, 6 (3): 117-131.
  • WEF (World Economic Forum) (2012). The future of manufacturing. http://www3.weforum.org/docs/WEF_MOB_FutureManufacturing_Report_2012.pdf , (1.4.2016).
  • Wiener, N. (1956). The theory of prediction. E.F. Beckenbach (Ed.). Modern mathematics for engineers: İçinde 165-190. New York: McGraw-Hill.
  • WTO (World Trade Organization) (2015). International Trade Statistics 2015. Geneva.
  • Yıldız, S. ve Atasaygın, H. (2015). Financial deepening and economic growth: The Turkish experience. American Journal of Economics, 5 (5): 477-483.
  • Zivot, E. ve Andrews, D.W.K. (1992). Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of Business&Economic Statistics, 10 (3): 251-270.