IDEAS home Printed from https://ideas.repec.org/a/eaa/eerese/v11y2011i2_5.html
   My bibliography  Save this article

Steel Industry and The Sector’s Impact On Economical Growth In Turkey

Author

Listed:
  • Ozkan, F

Abstract

Turkey is largest steel producer in Europe with the exception of the Western European countries that are members of the European Union and it ranks as the eleventh in world steel production. The research task in the present study is to investigate the relationship between the data regarding steel (production, consumption, import and export) and the Gross Domestic Product (GDP), the Industrial Production (IP). In order to determine the aforementioned relation between the data regarding steel and the GDP, the Engle-Granger co-integration, Error Correction Model (ECM) and the Granger causality tests were applied. It has been found that the steel export and the production have direct relations with the GDP, whereas the steel export has a direct relation with the IP and both relations have causality effects.

Suggested Citation

  • Ozkan, F, 2011. "Steel Industry and The Sector’s Impact On Economical Growth In Turkey," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 11(2).
    • Handle: RePEc:eaa:eerese:v:11:y2011:i:2_5
    as

    Download full text from publisher

    File URL: http://www.usc.es/economet/reviews/eers1125.pdf
    Download Restriction: No.
    ---><---

    References listed on IDEAS

    as
    1. Guisan, M.C. & Exposito, P., 2006. "Production by sector in China, India and OECD Countries, 1985-2005," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 6(2).
    2. Crompton, Paul, 2000. "Future trends in Japanese steel consumption," Resources Policy, Elsevier, vol. 26(2), pages 103-114, June.
    3. Ghosh, Sajal, 2006. "Steel consumption and economic growth: Evidence from India," Resources Policy, Elsevier, vol. 31(1), pages 7-11, March.
    4. GUISAN, Maria-Carmen & EXPOSITO, Pilar, 2007. "Production by sector in Africa, 2000-2005," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 7(2), pages 5-24.
    5. Rebiasz, Bogdan, 2006. "Polish steel consumption, 1974-2008," Resources Policy, Elsevier, vol. 31(1), pages 37-49, March.
    6. Guisan, M.C. & Exposito, P., 2008. "An Econometric Model Of Industry, Foreign Trade, And Economic Development In Philippines, 1990-2006," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 8(2), pages 193-208.
    7. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    8. Labson B. Stephen & Crompton Paul L., 1993. "Common Trends in Economic Activity and Metals Demand: Cointegration and the Intensity of Use Debate," Journal of Environmental Economics and Management, Elsevier, vol. 25(2), pages 147-161, September.
    9. NUSHIWAT, Munther, 2008. "Exports And Economic Growth A Re-Examination Of The Causality Relation In Six Countries, 1981-2005," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 8(2), pages 5-12.
    10. Noriega Antonio E. & Ventosa-Santaulària Daniel, 2006. "Spurious Cointegration: The Engle-Granger Test in the Presence of Structural Breaks," Working Papers 2006-12, Banco de México.
    11. Auty, Richard, 1985. "Materials intensity of GDP: Research issues on the measurement and explanation of change," Resources Policy, Elsevier, vol. 11(4), pages 275-283, December.
    12. GUISAN, Maria-Carmen, 2008. "Manufacturing and Economic Development: Inter-sectoral relationships in Europe, America, Africa and Asia-Pacific, 1999-2006," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 8(2), pages 73-88.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Huh, Kwang-Sook, 2011. "Steel consumption and economic growth in Korea: Long-term and short-term evidence," Resources Policy, Elsevier, vol. 36(2), pages 107-113, June.
    2. Crompton, Paul, 2015. "Explaining variation in steel consumption in the OECD," Resources Policy, Elsevier, vol. 45(C), pages 239-246.
    3. Zhongxin Ni & Xing Lu & Wenjun Xue, 2021. "Does the belt and road initiative resolve the steel overcapacity in China? Evidence from a dynamic model averaging approach," Empirical Economics, Springer, vol. 61(1), pages 279-307, July.
    4. Jaunky, Vishal Chandr, 2013. "A cointegration and causality analysis of copper consumption and economic growth in rich countries," Resources Policy, Elsevier, vol. 38(4), pages 628-639.
    5. Namahoro, Jean Pierre & Wu, Qiaosheng & Hui, Su, 2023. "Asymmetric linkage between copper-cobalt productions and economic growth: Evidence from Republic Democratic of Congo," Resources Policy, Elsevier, vol. 83(C).
    6. Mohammad ALAWIN & Mohammad OQAILY, 2017. "Current Account Balance, Inflation, Industry And Sustainable Development In Jordan," Revista Galega de Economía, University of Santiago de Compostela. Faculty of Economics and Business., vol. 26(3), pages 45-56.
    7. GUISAN, Maria-Carmen & EXPOSITO, Pilar, 2021. "Industry, Education, Development And Quality Of Life In African Countries, 1995-2020," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 21(2), pages 53-76.
    8. Torbat, Sheida & Khashei, Mehdi & Bijari, Mehdi, 2018. "A hybrid probabilistic fuzzy ARIMA model for consumption forecasting in commodity markets," Economic Analysis and Policy, Elsevier, vol. 58(C), pages 22-31.
    9. D. Ventosa-Santaulària, 2009. "Spurious Regression," Journal of Probability and Statistics, Hindawi, vol. 2009, pages 1-27, August.
    10. Shammugam, Shivenes & Rathgeber, Andreas & Schlegl, Thomas, 2019. "Causality between metal prices: Is joint consumption a more important determinant than joint production of main and by-product metals?," Resources Policy, Elsevier, vol. 61(C), pages 49-66.
    11. Yin, Xiang & Chen, Wenying, 2013. "Trends and development of steel demand in China: A bottom–up analysis," Resources Policy, Elsevier, vol. 38(4), pages 407-415.
    12. Evans, Mark, 2011. "Steel consumption and economic activity in the UK: The integration and cointegration debate," Resources Policy, Elsevier, vol. 36(2), pages 97-106, June.
    13. Crompton, Paul, 1999. "Forecasting steel consumption in South-East Asia," Resources Policy, Elsevier, vol. 25(2), pages 111-123, June.
    14. GUISAN, Maria-Carmen, 2015. "Selected Readings On Econometrics Methodology, 2001-2010: Causality, Measure Of Variables, Dynamic Models And Economic Approaches To Growth And Development," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 15(2), pages 213-220.
    15. Namahoro, Jean Pierre & Qiaosheng, Wu & Hui, Su, 2022. "The copper production and economic growth nexus across the regional and global levels," Resources Policy, Elsevier, vol. 76(C).
    16. Chen, Wenying & Yin, Xiang & Ma, Ding, 2014. "A bottom-up analysis of China’s iron and steel industrial energy consumption and CO2 emissions," Applied Energy, Elsevier, vol. 136(C), pages 1174-1183.
    17. Hossein Kamalzadeh & Saeid Nassim Sobhan & Azam Boskabadi & Mohsen Hatami & Amin Gharehyakheh, 2019. "Modeling and Prediction of Iran's Steel Consumption Based on Economic Activity Using Support Vector Machines," Papers 1912.02373, arXiv.org.
    18. P. Crompton, 1998. "Forecasting Steel Demand in South-East Asia," Economics Discussion / Working Papers 98-05, The University of Western Australia, Department of Economics.
    19. de Bruyn, S. M. & van den Bergh, J. C. J. M. & Opschoor, J. B., 1998. "Economic growth and emissions: reconsidering the empirical basis of environmental Kuznets curves," Ecological Economics, Elsevier, vol. 25(2), pages 161-175, May.
    20. Víctor-Hugo Alcalá Ríos & Manuel Gómez Zaldívar & Daniel Ventosa-Santaulà ria, 2011. "Paradoja Feldstein-Horioka: el caso de México (1950-2007)," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 26(2), pages 293-313.

    More about this item

    Keywords

    Economical growth; Steel produce; steel consumption; Engle-Granger co-integration; Error correction; Granger causality;
    All these keywords.

    JEL classification:

    • C - Mathematical and Quantitative Methods
    • C - Mathematical and Quantitative Methods
    • O - Economic Development, Innovation, Technological Change, and Growth

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eaa:eerese:v:11:y2011:i:2_5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: M. Carmen Guisan (email available below). General contact details of provider: http://www.usc.es/economet/eaa.htm .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.