IMPACT OF TRANSPORT INFRASTRUCTURE INVESTMENTS ON PORT THROUGHPUTS: AN EFFICIENCY APPROACH

Yıl 2021, Sayı: 31, 43 - 58, 30.04.2021

İlke Sezin Ayaz , Abdullah Açık

https://doi.org/10.18092/ulikidince.756256

Öz

With the globalization process, the obstacles to trade and capital movements have been greatly reduced and the concept of international trade has become indispensable for countries in economic, social, cultural and political aspects. In the literature, the impact of transportation infrastructures on international trade is an important issue examined. However, considering the investments only and not considering whether the transport infrastructures are used efficiently can cause misleading evaluations. This study aims to test the impact of road and rail transportation efficiencies on international trade through cargo traffic in Turkish ports. Accordingly, first of all, the efficiencies of two modes of transport were determined by Data Enve-lopment Analysis. The values obtained were then subjected to regression analysis as independent variables for port throughput. The data set consists of 15 observations on an annual basis covering the period between 2004 and 2018. The results obtained showed that the efficiencies of both modes of transport have increased in recent years and the efficiency of rail transport in port traffic is more influential.

Anahtar Kelimeler

Port traffic, rail transport, road trasnport, data envelopment

TAŞIMA ALTYAPI YATIRIMLARININ LİMAN ÇIKTISINA ETKİSİ: BİR ETKİNLİK YAKLAŞIMI

Öz

Küreselleşme süreci ile birlikte ticaret ve sermaye hareketlerinin önündeki engeller büyük ölçüde azalmış ve uluslararası ticaret kavramı ekonomik, sosyal, kültürel ve siyasal açıdan ülkeler için vazgeçilmez bir hal al-mıştır. Literatürde taşımacılık altyapılarının uluslararası ticarete olan etkisi incelenen önemli bir konudur. Ancak sadece yatırımları göz önünde bulundurarak taşıma altyapılarının etkin kullanılıp kullanılmadığının araştırılmaması eksik değerlendirmelere sebep olabilmektedir. Bu çalışmanın amacı kara yolu ve demir yolu taşımacılığının etkinliklerinin uluslararası ticarete olan etkisini Türk limanlarındaki yük trafiği aracılığıyla tespit etmektir. Bu doğrultuda öncelikle DEA analizi uygulanarak iki taşıma modunun etkinlikleri tespit edilmiştir. Daha sonra elde edilen değerler liman trafiği için bağımsız değişkenler olarak regresyon analizi-ne tabi tutulmuşlardır. Veri seti 2004 ve 2018 dönemlerini kapsayan yıllık bazda 15 gözlemden oluşmakta-dır. Elde edilen sonuçlar her iki taşıma modunun da etkinliklerinin son yıllarda arttığını gösterirken, liman trafiğinde demiryolu taşımacılığının etkinliğinin daha etkili olduğunu ortaya koymuştur.

Anahtar Kelimeler

Liman trafiği, demiryolu taşımacılığı, karayolu taşımacılığı, veri zarflama

Kaynakça

• Açık, A. (2019). Volatility Spillover from Global Container Freight Indices to Port Throughputs in Turkey. Uluslararası Ekonomi ve Yenilik Dergisi, 5(1), 101-113.
• Açık, A., Sağlam, B. B. and Kayıran, B. (2019a). Industrial Production as A Leading Indicator for Container Port Throughput in Turkey. Dokuz Eylül Üniversitesi Denizcilik Fakültesi Dergisi, 11(1), 37-56.
• Açık, A., Sağlam, B. B. and Tepe, R. (2019b). Time varying causality between exchange rate and container handling volume in Turkish ports. Transport & Logistics: the International Jour-nal, 19 (46), 1-11.
• Albarran, P., Carrasco, R. and Holl, A. (2013). Domestic Transport Infrastructure and Firms’ Export Market Participation. Small Business Economics, 40(4), 879-898.
• Allen, M. P. (2004). Understanding regression analysis. New York: Springer Science & Business Media.
• Archdeacon, T. J. (1994). Correlation and Regression Analysis: A Historian's Guide. Univ of Wisconsin Press.
• Banerjee, M. and Frees, E. W. (1997). Influence Diagnostics for Linear Longitudinal Models. Journal of the American Statistical Association, 92(439), 999-1005.
• Çekerol, G. and Nalçakan, M. (2011). Lojistik Sektörü Içerisinde Türkiye Demiryolu Yurtiçi Yük Taşıma Talebinin Ridge Regresyonla Analizi. Marmara Üniversitesi İktisadi ve İdari Bilimler Dergisi, 31(2), 321-344.
• Charnes, A., Cooper, W. W. and Rhodes, E. (1978). Measuring the Efficiency of Decision-Making Units. European Journal of Operational Research, 2(6), 429–444.
• Chatterjee, S. and Hadi, A. S. (2015). Regression Analysis by Example. New Jersey: John Wiley & Sons.
• Chi, J. and Cheng, S. K. (2016). Do Exchange Rate Volatility and Income Affect Australia’s Maritime Export Flows to Asia?. Transport Policy, 47, 13-21.
• Cook, W. D., Tone, K. and Zhu, J. (2014). Data Envelopment Analysis: Prior to Choosing A Model. Omega, 44, 1-4.
• Coşar, A. K. and Demir, B. (2016). Domestic Road Infrastructure and International Trade: Evidence from Turkey. Journal of Development Economics, 118, 232-244.
• Dickey, D. A. and Fuller, W. A. (1979). Distribution of the Estimators for Autoregressive Time Series with A Unit Root. Journal of the American Statistical Association, 74(366a), 427-431.
• Duranton, G., Morrow, P. and Turner, M. (2013). Roads and Trade: Evidence from the US. Review of Economic Studies. URL https://www.economics.utoronto.ca/morrow/DMT.pdf.
• Dwarakish, G. S. and Salim, A. M. (2015). Review on the Role of Ports in the Development of a Nation. Aquatic Procedia, 4(1), 295-301.
• Esquerdo, P. J. R. and Welc, J. (2018). Applied Regression Analysis for Business. Switzerland: Springer International Publishing.
• Farrell, M. J. (1957). The Measurement of Productive Efficiency. Journal of the Royal Statistical Society, 120 (3), 253-290.
• Felicio, J. A., Caldeirinha, V. and Dionísio, A. (2015). The Effect of Port and Container Terminal Characteristics on Terminal Performance. Maritime Economics & Logistics, 17(4), 493-514.
• Fleming, D. K. and Baird, A. J. (1999). Comment Some Reflections on Port Competition in the United States and Western Europe. Maritime Policy & Management, 26(4), 383-394.
• Gaur, P. (2005). Port Planning as A Strategic Tool: A Typology. Institute of Transport and Maritime Management Antwerp, University of Antwerp.
• Gaurav, K. (2011). Multiple Regression Analysis: Key to Social Science Research. Germany: GRIN Verlag.
• Gordon, R. (2015). Regression Analysis for The Social Sciences. New York: Routledge.
• Guide (2007). Eviews User’s. United States of America: Quantitative Micro Software.
• Gujarati, D.N. (2004). Basic Econometric, (4th Ed.). New York: The McGraw-Hill Companies.
• Hayuth Y. (1981). Containerisation and The Load Centre Concept. Economic Geography, 57, 160–76.
• Kim, C. B., (2016). Impact of Exchange Rate Movements, Global Economic Activity, and the BDI Volatility on Loaded Port Cargo Throughput in South Korea. The Asian Journal of Shipping and Logistics, 32(4), 243-248.
• Kim, C. B., (2017) Does Exchange Rate Volatility Affect Korea's Seaborne Import Volume?. The Asian Journal of Shipping and Logistics, 33(1), 43-50.
• Kwiatkowski, D., Phillips, P. C. B., Schmidt, P. and Shin, Y. (1992). Testing the Null Hypothesis of Stationarity Against the Alternative of a Unit Root. Journal of Econometrics, 54, 159-178.
• Martincus, C. V. and Blyde, J. (2013). Shaky Roads and Trembling Exports: Assessing the Trade Effects of Domestic Infrastructure Using A Natural Experiment. Journal of International Eco-nomics, 90(1), 148-161.
• Martincus, C. V. - Carballo, J. and Cusolito, A. (2012). Routes, Exports, and Employment in Developing Countries: Following the Trace of the Inca Roads. Inter-American Development Bank, Mimeograph.
• MTI (2020). Port Cargo Statistics. URL https://atlantis.udhb.gov.tr/istatistik/istatistik_yuk.aspx.
• Pagan, A. R. and Hall, A.D. (1983). Diagnostic Tests as Residual Analysis. Econometric Reviews, 2(2), 159-218.
• Shahbaz, M., Van Hoang, T. H., Mahalik, M. K. and 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.
• Şimdi, H., Şeker, A. and Danaci, T. (2017). Uluslararasi Ticaret ve Ulaşilabilirlik: Türkiye Karayollari Üzerine Bir Araştirma. Mehmet Akif Ersoy Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 9(19), 254-268.
• Slack, B. (1993). Pawns in the Game: Ports in A Global Transportation System. Growth and Change, 24(4), 579-588.
• Smith, A. (1776). An Inquiry into The Nature and Causes of The Wealth of Nations. Edwin Cannan's annotated edition.
• TMMOB. (2009). 8. Ulaştırma Kongresi Sonuç Bildirgesi, İstanbul.
• TUIK (2019) Export and Import Values According to the Transportation Types. URL http://www.tuik.gov.tr/PreTablo.do?alt_id=104.
• TUIK (2020a). Road Transport Statistics. URL http://www.tuik.gov.tr/PreIstatistikTablo.do?istab_id=354.
• TUIK (2020b). Rail Transport Statistics. URL http://www.tuik.gov.tr/PreIstatistikTablo.do?istab_id=1584.
• Turner, H., Windle, R. and Dresner, M. (2004). North American Containerport Productivity: 1984–1997. Transportation Research Part E: Logistics and Transportation Review, 40(4), 339-356.
• UDHB (2018). Ulaşan ve Erişen Türkiye 2018 Kitapçığı. URL https://www.uab.gov.tr/uploads/pages/bakanlik-yayinlari/ulasan-ve-erisen-turkiye-2018.pdf.
• UNCTAD (2019). Review of Maritime Transport. Geneva: United Nations Publication.
• Van der Horst, M. R. J., & Van der Lugt, L. (2009). Coordination in Railway Hinterland Chains: An Institutional Analysis. Internationalization of Infrastructures: Proceedings of the 12th Annual International Conference on the Economics of Infrastructures 14-15 May 2009, Delft University of Technology, Netherlands.
• Wang, T. and Cullinane, K. (2006). The Efficiency of European Container Terminals and Implications for Supply Chain Management. Maritime Economics & Logistics, 8, 82-99.