Acta Natura et Scientia
ISSN (Online): 2718-0638

Original article    |    Open Access
Acta Natura et Scientia 2021, Vol. 2(2) 94-100

Are Housing and Ship Demolition Markets Integrated? Evidence From Turkey

Kamil Özden EFES

pp. 94 - 100   |  DOI: https://doi.org/10.29329/actanatsci.2021.350.02

Publish Date: August 13, 2021  |   Single/Total View: 73/691   |   Single/Total Download: 92/1.703

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Abstract

The purpose of this study is to investigate the impact of the demand for new houses to ship demolition prices in Turkey through new house sales statistics and Turkish ship demolition prices. In this direction, asymmetric causality test is used which allows to separate the shocks contained in the variables and to determine the causal relationships between these shocks. According to test results, causality relations are determined from positive shocks in house sales to positive shocks in demolition price and from negative shocks in house sales to negative shocks in demolition price. On the other hand, any significant causality from demolition prices to new house sales cannot be determined. This situation shows that changes in the new house sales are determinative for ship demolition prices in Turkey.

Keywords: Maritime economics, Demolition prices, Asymmetric causality test

How to Cite this Article?

APA 7th edition
EFES, K.O. (2021). Are Housing and Ship Demolition Markets Integrated? Evidence From Turkey. Acta Natura et Scientia, 2(2), 94-100. https://doi.org/10.29329/actanatsci.2021.350.02

Harvard
EFES, K. (2021). Are Housing and Ship Demolition Markets Integrated? Evidence From Turkey. Acta Natura et Scientia, 2(2), pp. 94-100.

Chicago 16th edition
EFES, Kamil Ozden (2021). "Are Housing and Ship Demolition Markets Integrated? Evidence From Turkey". Acta Natura et Scientia 2 (2):94-100. https://doi.org/10.29329/actanatsci.2021.350.02

References
  1. Açık, A., & Baran, E. (2019). The reflection of ship demolition prices to construction costs in Turkey. Marine Science and Technology Bulletin, 8(1), 23-29. https://doi.org/10.33714/masteb.547103 [Google Scholar] [Crossref] 
  2. Açık, A., & Başer, S. Ö. (2019). Price volatility spillover in ship demolition markets. Optimum Ekonomi ve Yönetim Bilimleri Dergisi, 6(2), 311-322. https://doi.org/10.17541/optimum.531561 [Google Scholar] [Crossref] 
  3. Açık, A., & Başer, S. Ö. (2017). The relationship between freight revenues and vessel disposal decisions. Ekonomi, Politika & Finans Araştırmaları Dergisi, 2(2), 96-112. [Google Scholar]
  4. Açık, A., & Başer, S. Ö. (2018a). The relationship between freight rates and demolition prices. Uluslararası Ticaret ve Ekonomi Araştırmaları Dergisi, 2(1), 16-32. https://doi.org/10.30711/utead.358662 [Google Scholar] [Crossref] 
  5. Açık, A., & Başer, S. Ö. (2018b). Market efficiency in ship demolition prices. Proceedings of the International Conference on Empirical Economics and Social Sciences, Turkey. pp. 780-792. [Google Scholar]
  6. Açık, A., Kesiktaş, H. H. İ., & Başer, S. Ö. (2020). Role of interest rates on fleet capacity adjustment decisions of shipowners. Ekonomi Politika ve Finans Araştırmaları Dergisi, 5(1), 66-80. https://doi.org/10.30784/epfad.642061 [Google Scholar] [Crossref] 
  7. Adıgüzel, U., Bayat, T., Kayhan, S., & Nazlıoğlu, Ş. (2013). Oil prices and exchange rates in Brazil, India and Turkey: Time and frequency domain causality analysis. Siyaset, Ekonomi ve Yönetim Araştırmaları Dergisi, 1(1), 49-73. [Google Scholar]
  8. Allum, S. (2013). Residual value insurance in the maritime sector. Taplin, R. (Ed.), In Intellectual property valuation and innovation (pp. 135-156). Routledge. [Google Scholar]
  9. Athenian Shiproker, S. A. (2019). Demolition prices. Retrieved on August 18, 2019 from http://www.atheniansa.gr [Google Scholar]
  10. Bal, D. P., & Rath, B. N. (2015). Nonlinear causality between crude oil price and exchange rate: A comparative study of China and India. Energy Economics, 51, 149-156. https://doi.org/10.1016/j.eneco.2015.06.013 [Google Scholar] [Crossref] 
  11. Broock, W. A., Scheinkman, J. A., Dechert, W. D., & LeBaron, B. (1996) A test for independence based on the correlation dimension, Econometric Reviews, 15(3), 197-235, https://doi.org/10.1080/07474939608800353 [Google Scholar] [Crossref] 
  12. Buxton, I. L. (1991). The market for ship demolition. Maritime Policy & Management, 18(2), 105-112. https://doi.org/10.1080/03088839100000034 [Google Scholar] [Crossref] 
  13. Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74, 427-431. https://doi.org/10.1080/01621459.1979.10482531 [Google Scholar] [Crossref] 
  14. Dura, Y. C., Beser, M. K., & Acaroglu, H. (2017). Türkiye’nin ihracata dayali büyümesinin ekonometrik analizi [Econometric analysis of Turkey’s export-led growth]. Ege Akademik Bakis, 17(2), 295-309. [Google Scholar]
  15. Engle, R. F. (1982). Autoregressive conditional heteroskedasticity with estimates of the variance of U.K. inflation. Econometrica, 50(4), 987-1008. https://doi.org/10.2307/1912773 [Google Scholar] [Crossref] 
  16. Granger, C. W. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3), 424-438. https://doi.org/10.2307/1912791 [Google Scholar] [Crossref] 
  17. Hatemi-J., A. (2012a). Asymmetric causality tests with an application. Empirical Economics, 43(1), 447-456. https://doi.org/10.1007/s00181-011-0484-x [Google Scholar] [Crossref] 
  18. Hatemi-J., A. (2012b). Is the UAE stock market integrated with the USA stock market? New evidence from asymmetric causality testing. Research in International Business and Finance, 26(2), 273-280. https://doi.org/10.1016/j.ribaf.2012.01.002 [Google Scholar] [Crossref] 
  19. Hatemi-J., A. & Uddin, G. S. (2012). Is the causal nexus of energy utilization and economic growth asymmetric in the US?. Economic Systems, 36(3), 461-469. https://doi.org/10.1016/j.ecosys.2011.10.005 [Google Scholar] [Crossref] 
  20. Kagkarakis, N. D., Merikas, A. G., & Merika, A. (2016). Modelling and forecasting the demolition market in shipping. Maritime Policy Management, 43(8), 1021-1035. https://doi.org/10.1080/03088839.2016.1185181 [Google Scholar] [Crossref] 
  21. Karlis, T., & Polemis, D. (2016). Ship demolition activity: A monetary flow process approach. Scientific Journal of Maritime Research, 30(2), 128-132. https://doi.org/10.31217/p.30.2.5 [Google Scholar] [Crossref] 
  22. Knapp, S., Kumar, S. N., & Remijn, A. B. (2008). Econometric analysis of the ship demolition market. Maritime Policy, 32(6), 1023–1036. https://doi.org/10.1016/j.marpol.2008.02.004 [Google Scholar] [Crossref] 
  23. Kumar, S. (2017). On the nonlinear relation between crude oil and gold. Resources Policy, 51, 219-224. https://doi.org/10.1016/j.resourpol.2017.01.003 [Google Scholar] [Crossref] 
  24. Ljung, G. M., & Box, G. E. P. (1978). On a measure of lack of fit in time series models. Biometrika, 65(2), 297–3003. https://doi.org/10.2307/2335207 [Google Scholar] [Crossref] 
  25. Lim, S. Y., & Ho, C. M. (2013). Nonlinearity in ASEAN-5 export-led growth model: Empirical evidence from nonparametric approach. Economic Modelling, 32, 136-145. https://doi.org/10.1016/j.econmod.2013.01.044 [Google Scholar] [Crossref] 
  26. Mikelis, N. E. (2013). Ship recycling markets and the impact of the Hong Kong convention. Proceedings of the International Conference on Ship Recycling (SHIPREC 2013), Sweden. [Google Scholar]
  27. Phillips, P. C. B., & Perron, P. (1988). Testing for unit root in time series regression. Biometrika, 75(2), 335-346. https://doi.org/10.2307/2336182 [Google Scholar] [Crossref] 
  28. Shahbaz, M., Van Hoang, T. H., Mahalik, M. K., & Roubaud, D. (2017). Energy consumption, financial development and economic growth in India: New evidence from a nonlinear and asymmetric analysis. Energy Economics, 63, 199-212. https://doi.org/10.1016/j.eneco.2017.01.023 [Google Scholar] [Crossref] 
  29. Stopford, M. (2009). Maritime Economics. Routledge. [Google Scholar]
  30. Toda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1-2), 225-250. https://doi.org/10.1016/0304-4076(94)01616-8 [Google Scholar] [Crossref] 
  31. Tugcu, C. T., Ozturk, I., & Aslan, A. (2012). Renewable and non-renewable energy consumption and economic growth relationship revisited: Evidence from G7 countries. Energy Economics, 34(6), 1942-1950. https://doi.org/10.1016/j.eneco.2012.08.021 [Google Scholar] [Crossref] 
  32. TurkStat (2019). The house sale statistics. Retrieved on August 18, 2019 from https://biruni.tuik.gov.tr/medas/?kn=73&locale=tr [Google Scholar]
  33. Tunç, M., & Açık, A. (2019). The impact of steel price on ship demolition prices: Evidence from heterogeneous panel of developing countries. Sosyoekonomi, 27(42), 227-240. https://doi.org/10.17233/sosyoekonomi.2019.04.12 [Google Scholar] [Crossref] 
  34. Tvedt, J. (2003). A new perspective on price dynamics of the dry bulk market. Maritime Policy & Management, 30(3), 221-230. https://doi.org/10.1080/0308883032000133413 [Google Scholar] [Crossref] 
  35. Umar, M., & Dahalan, J. (2016). An application of asymmetric Toda-Yamamoto causality on exchange rate-inflation differentials in emerging economies. International Journal of Economics and Financial Issues, 6(2), 420-426. [Google Scholar]
  36. UNCTAD. (2021). Ship Recycling Statistics, Retrieved on July 16, 2021 from https://unctadstat.unctad.org/wds/TableViewer/downloadPrompt.aspx [Google Scholar]
  37. Yin, J., & Fan, L. (2018). Survival analysis of the world ship demolition market Transport Policy, 63, 141–156. https://doi.org/10.1016/j.tranpol.2017.12.019 [Google Scholar] [Crossref] 
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