Araştırma Makalesi
BibTex RIS Kaynak Göster

Analyzing the impact of container shipping service reliability on global supply chain pressure: An asymmetric approach

Yıl 2023, Cilt: 5 Sayı: 2, 40 - 50, 27.12.2023

Abdullah Açık

https://doi.org/10.51756/marlife.1345168

Öz

Delays in international trade negatively affect the global world economically, commercially, and politically. We aimed to empirically determine the asymmetrical effect of the delays experienced in the arrival of container shipping vessels to their destinations on the pressure on the global supply chain by using Global Schedule Reliability (GSR) and Global Supply Chain Pressure Index (GSCPI). The dataset covers the period between January 2017 and April 2023 and consists of 76 observations. The results show that the effect of delays on the supply chain is asymmetrical, while the increase in delays increases the pressure, the decrease in delays has no effect. This shows that the effects of delays on the supply chain are sticky and take a long time to clear from the system. In this direction, policies are recommended to minimize the effect of delays on international trade.

Anahtar Kelimeler

Schedule delays congestion international trade asymmetric causality

Kaynakça

  • Açık, A., & Başer, S. Ö. (2018). An analytical study on the likely causes of the minor bubbles in the Baltic dry index. International Journal of Logistics Economics and Globalisation, 7(4), 353-365. https://doi.org/10.1504/IJLEG.2018.097478
  • Adland, R., Cariou, P., & Wolff, F. C. (2016). The influence of charterers and owners on bulk shipping freight rates. Transportation Research Part E: Logistics and Transportation Review, 86, 69-82. https://doi.org/10.1016/j.tre.2015.11.014
  • Alizadeh, A. H., & Talley, W. K. (2011). Microeconomic determinants of dry bulk shipping freight rates and contract times. Transportation, 38, 561-579. https://doi.org/10.1007/s11116-010-9308-7
  • Alola, A. A., & Uzuner, G. (2021). Testing the asymmetric causal nexus of housing-oil prices and pandemic uncertainty in four major economies. Environmental Science and Pollution Research, 28(43), 60550-60556. https://doi.org/10.1007/s11356-021-14992-2
  • Andriantomanga, Z., Bolhuis, M., & Hakobyan, S. (2023). Global Supply Chain Disruptions: Challenges for Inflation and Monetary Policy in Sub-Saharan Africa. IMF Working Paper, 2023/039, http://doi.org/10.5089/9798400235528.001
  • Bai, X., Lam, J. S. L., & Jakher, A. (2021). Shipping sentiment and the dry bulk shipping freight market: New evidence from newspaper coverage. Transportation Research Part E: Logistics and Transportation Review, 155, 102490. https://doi.org/10.1016/j.tre.2021.102490
  • Bandyopadhyay, A., & Rajib, P. (2023). The asymmetric relationship between Baltic Dry Index and commodity spot prices: evidence from nonparametric causality-in-quantiles test. Mineral Economics, 36(2), 217-237. https://doi.org/10.1016/j.tre.2021.102490
  • Başer, S. Ö., & Açık, A. (2019). The effects of global economic growth on dry bulk freight rates. Journal of International Trade and Economic Researches, 3(1), 1-17. https://doi.org/10.30711/utead.507566
  • Beenstock, M., & Vergottis, A. (1989). An econometric model of the world tanker market. Journal of Transport Economics and Policy, 23(3), 263-280.
  • Benigno, G., di Giovanni, J., Groen, J. J. J., & Noble, A. I. (2022). A New Barometer of Global Supply Chain Pressures. Liberty Street Economics 20220104, Federal Reserve Bank of New York.
  • Branch, A. E., & Robarts, M. (2014). Branch’s Elements of Shipping, Ninth edition. New York: Routledge. Cariou, P., Ferrari, C., Parola, F., & Tei, A. (2019). Slow steaming in the maritime industry. In: Panayides, P. M. (Ed). The Routledge Handbook of Maritime Management. New York: Routledge. pp. 140-153.
  • Carrière-Swallow, Y., Deb, P., Furceri, D., Jiménez, D., & Ostry, J. D. (2023). Shipping costs and inflation. Journal of International Money and Finance, 130, 102771. https://doi.org/10.1016/j.jimonfin.2022.102771
  • Chi, J. (2016). Exchange rate and transport cost sensitivities of bilateral freight flows between the US and China. Transportation Research Part A: Policy and Practice, 89, 1-13. https://doi.org/10.1016/j.tra.2016.05.004
  • Clark, T., Foster, L., Sloan, L. & Bryman, A. (2021). Bryman's Social Research Methods. UK: Oxford University Press.
  • Dickey, D. A., & Fuller, W. A. (1981). Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root. Econometrica, 49(4), 1057–1072. https://doi.org/10.2307/1912517
  • Durmuş, A. N. (2023). The Intersection Between Law and Technology in Maritime Law. In: Noussia, K., Channon, M. (eds.), The Regulation of Automated and Autonomous Transport. Switzerland: Springer. pp. 107-166. https://doi.org/10.1007/978-3-031-32356-0_5
  • Enders, W. (2004). Applied Econometrics Time Series. New York: John Wiley.
  • Erdogan, S., Ahmed, M. Y., & Sarkodie, S. A. (2022). Analyzing asymmetric effects of cryptocurrency demand on environmental sustainability. Environmental Science and Pollution Research, 29, 31723–31733. https://doi.org/10.1007/s11356-021-17998-y
  • 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
  • Hatemi-J, A. (2012). Asymmetric causality tests with an application. Empirical Economics, 43(1), 447-456. https://doi.org/10.1007/s00181-011-0484-x
  • Hoffer, E. (2015). The Context of Global Supply Chain Security, In: Thomas, A. R., Vaduva, S. (Eds.), Global Supply Chain Security: Emerging Topics in Research, Practice and Policy. New York: Springer. pp. 1-16. https://doi.org/10.1007/978-1-4939-2178-2_1
  • Hupka, Y. (2022). Leverage and the global supply chain. Finance Research Letters, 50, 103269. https://doi.org/10.1016/j.frl.2022.103269
  • Janic, M. (2022). Resilience, Robustness, and Vulnerability of Transport Systems: Analysis, Modelling, and Practice. Switzerland: Springer. https://doi.org/10.1007/978-3-031-13040-3_1
  • Karakitsos, E., & Varnavides, L. (2014). Maritime economics: A macroeconomic approach. Springer. https://doi.org/10.1057/9781137383419
  • Kavussanos, M. G. (2003). Time varying risks among segments of the tanker freight markets. Maritime Economics & Logistics, 5(3), 227-250. https://doi.org/10.1057/palgrave.mel.9100079
  • Kim, I., Li, Q., & Noh, S. (2023). Global Supply Chain Pressure, Uncertainty, and Prices. http://doi.org/10.2139/ssrn.4467352
  • Koukaki, T., & Tei, A. (2020). The geography of commodity flows: the bulk sector. In: Wilmsmeier, G., and Monios, J. (eds.), Geographies of Maritime Transport. UK: Edward Elgar Publishing. pp. 71-86.
  • Lei, Q., & Bachmann, C. (2020). Assessing the role of port efficiency as a determinant of maritime transport costs: Evidence from Canada. Maritime Economics & Logistics, 22, 562-584. https://doi.org/10.1057/s41278-019-00135-5
  • Lewis, B. M., Erera, A. L., & White III, C. C. (2006). Impact of temporary seaport closures on freight supply chain costs. Transportation Research Record, 1963(1), 64-70. https://doi.org/10.1177/0361198106196300109
  • Li, J., Wang, Y., Song, Y., & Su, C. W. (2023). How resistant is gold to stress? New evidence from global supply chain. Resources Policy, 85, 103960. https://doi.org/10.1016/j.resourpol.2023.103960
  • Liu, Z., & Nguyen, T. L. (2023). Global Supply Chain Pressures and US Inflation. FRBSF Economic Letter, 2023(14), 1-6.
  • Ljung, G. M., & Box, G. E. (1978). On a measure of lack of fit in time series models. Biometrika, 65(2), 297-303. https://doi.org/10.1093/biomet/65.2.297
  • Lun, Y. H. V., Lai, K-H., Cheng, T. C. E., Yang, D. (2023). Shipping and Logistics Management. Switzerland: Springer. https://doi.org/10.1007/978-3-031-26090-2
  • MacFadyen, A. J. (2015). Beliefs in Behavioral and Neoclassical Economics. In: Altman, M. (eds.), Handbook of Contemporary Behavioral Economics: Foundations and Developments. New York: Routledge. pp. 183-201.
  • Magirou, E. F., Psaraftis, H. N., & Bouritas, T. (2015). The economic speed of an oceangoing vessel in a dynamic setting. Transportation Research Part B: Methodological, 76, 48-67. https://doi.org/10.1016/j.trb.2015.03.001
  • Michail, N. A., Melas, K. D., & Cleanthous, L. (2022). The relationship between shipping freight rates and inflation in the Euro Area. International Economics, 172, 40-49. https://doi.org/10.1016/j.inteco.2022.08.004
  • New York FED, (2023). Global Supply Chain Pressure Index (GSCPI). Retrieved on August 15, 2023, from https://www.newyorkfed.org/research/policy/gscpi#/overview
  • OECD, (2023). Economic Outlook for Southeast Asia, China and India 2023: Reviving Tourism Post-Pandemic. Paris: OECD Publishing.
  • Phillips, P. C. B., & Perron, P. (1988). Testing for a Unit Root in Time Series Regression. Biometrika, 75(2), 335–346. https://doi.org/10.1093/biomet/75.2.335
  • Plomaritou, E., & Papadopoulos, A. (2018). Shipbroking and chartering practice. USA: Informa law from Routledge.
  • Porter, M. E. (1990). Competitive Advantage of Nations. New York: The Free Press.
  • Qin, M., Su, C. W., Umar, M., Lobonţ, O. R., & Manta, A. G. (2023a). Are climate and geopolitics the challenges to sustainable development? Novel evidence from the global supply chain. Economic Analysis and Policy, 77, 748-763. https://doi.org/10.1016/j.eap.2023.01.002
  • Qin, M., Su, C. W., Lobonţ, O. R., & Moldovan, N. C. (2023b). Does global supply chain pressure motivate the gold market?. Economic Research-Ekonomska Istraživanja, 36(3), 2183229. https://doi.org/10.1080/1331677X.2023.2183229
  • Qin, M., Su, C. W., Wang, Y., & Doran, N. M. (2023c). Could “digital gold” resist global supply chain pressure?. Technological and Economic Development of Economy, 1-21. https://doi.org/10.3846/tede.2023.18557
  • Reyes, J. A. and Sawyer, W. C. (2016). Latin American Economic Development. New York: Routledge.
  • S&P Global (2023). Use the Purchasing Managers’ Index (PMI) for accurate and timely insight into the health of the global economy. Retrieved on September 6, 2023 from https://www.spglobal.com/marketintelligence/en/mi/products/pmi.html
  • Schuldt, A. (2011). Multiagent Coordination Enabling Autonomous Logistics. Germany: Springer. https://doi.org/10.1007/978-3-642-20092-2
  • Sea-Intelligence, (2023). Global Schedule Reliability & Global Average Delays for Late Vessel Arrivals. Retrieved on July 15, 2023 from https://www.sea-intelligence.com/
  • Sexton, R. L. (2016). Exploring Macroeconomics. UK: Cengage Learning.
  • Shahzad, U., Mohammed, K. S., Schneider, N., Faggioni, F., & Papa, A. (2023). GDP responses to supply chain disruptions in a post-pandemic era: Combination of DL and ANN outputs based on Google Trends. Technological Forecasting and Social Change, 192, 122512. https://doi.org/10.1016/j.techfore.2023.122512
  • Shen, C. W., & Chou, C. C. (2015). Temporal causality between dry bulk freight and crude oil price. Paper presented at the International Association of Maritime Economists (IAME) conference, Kuala Lumpur, Malaysia.
  • Shi, W., Gong, Y., Yin, J., Nguyen, S., & Liu, Q. (2022). Determinants of dynamic dependence between the crude oil and tanker freight markets: A mixed-frequency data sampling copula model. Energy, 254(Part B), 124354. https://doi.org/10.1016/j.energy.2022.124354
  • Song, D-P. (2021). Container Logistics and Maritime Transport. New York: Routledge.
  • Strandenes, S. P. (1984). Price determination in the time charter and second hand markets (Center for Applied Research, Norwegian School of Economics and Business Administration, Working Paper MU, 6). Retrieved on September 5, 2023 from https://www.econbiz.de/
  • Su, C. W., Wang, Y., Qin, M., & Lobonţ, O. R. (2023). Do Precious Metals Hedge against Global Supply Chain Uncertainty?. Borsa Istanbul Review, 23(5), 1026-1036. https://doi.org/10.1016/j.bir.2023.05.004
  • Tiwari, S., Mohammed, K. S., Mentel, G., Majewski, S., & Shahzadi, I. (2023). Role of circular economy, energy transition, environmental policy stringency, and supply chain pressure on CO2 emissions in emerging economies. Geoscience Frontiers, 101682. https://doi.org/10.1016/j.gsf.2023.101682
  • 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
  • Tongzon, J. L. (2022). Principles of International Logistics. USA: Edward Elgar Publishing.
  • Transport Geography, (2023). Global Supply Chain Pressure Index and Major Supply Chain Disruptions. Retrieved on August 15, 2023, from https://transportgeography.org/contents/chapter7/logistics-freight-distribution/global-supply-chain-pressure-index/
  • 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.
  • Verbraeck, A., Kurapati, S., & Lukosch, H. (2016). Serious games for improving situational awareness in container terminals. In: Zijm, H., Klumpp, M., Clausen, U., ten Hompel, M. (Eds.). Logistics and Supply Chain Innovation: Bridging the Gap between Theory and Practice. Switzerland: Springer. pp. 413-431. https://doi.org/10.1007/978-3-319-22288-2_25
  • Wilmsmeier, G., & Hoffmann, J. (2008). Liner shipping connectivity and port infrastructure as determinants of freight rates in the Caribbean. Maritime Economics & Logistics, 10, 130-151. https://doi.org/10.1057/palgrave.mel.9100195
  • Wilmsmeier, G., & Martinez-Zarzoso, I. (2010). Determinants of maritime transport costs–a panel data analysis for Latin American trade. Transportation Planning and Technology, 33(1), 105-121. https://doi.org/10.1080/03081060903429447
  • Xu, J. J., Yip, T. L., & Marlow, P. B. (2011). The dynamics between freight volatility and fleet size growth in dry bulk shipping markets. Transportation Research Part E: Logistics and Transportation Review, 47(6), 983-991. https://doi.org/10.1016/j.tre.2011.05.008
  • Xu, L., Zou, Z., & Zhou, S. (2022). The influence of COVID-19 epidemic on BDI volatility: An evidence from GARCH-MIDAS model. Ocean & Coastal Management, 229, 106330. https://doi.org/10.1016/j.ocecoaman.2022.106330
  • Ye, M., Si Mohammed, K., Tiwari, S., Ali Raza, S., & Chen, L. (2023). The effect of the global supply chain and oil prices on the inflation rates in advanced economies and emerging markets. Geological Journal, 58(7), 2805-2817. https://doi.org/10.1002/gj.4742
  • Yin, J., Luo M., & Fan. L. (2017). Dynamics and interactions between spot and forward freights in the dry bulk shipping market. Maritime Policy & Management, 44(2), 271–288. https://doi.org/10.1080/03088839.2016.1253884

Konteyner Taşımacılığı Hizmet Güvenilirliğinin Küresel Tedarik Zincirindeki Baskıya Olan Etkisinin Analiz Edilmesi: Asimetrik Bir Yaklaşım

Yıl 2023, Cilt: 5 Sayı: 2, 40 - 50, 27.12.2023

Abdullah Açık

https://doi.org/10.51756/marlife.1345168

Öz

Uluslararası ticaretteki gecikmeler küresel dünyayı ekonomik, ticari ve politik olarak olumsuz etkilemektedir. Çalışmamızda Küresel Çizelge Güvenilirliği (KÇG) ve Küresel Tedarik Zinciri Baskı Endeksi (GSCPI) kullanarak konteyner gemilerinin varış noktalarına varmalarında yaşanan gecikmelerin küresel tedarik zinciri üzerindeki baskıya olan asimetrik etkisini ampirik olarak belirlemeyi amaçladık. Veri seti Ocak 2017 ile Nisan 2023 arasındaki dönemi kapsamaktadır ve 76 gözlemden oluşmaktadır. Sonuçlar, gecikmelerin tedarik zinciri üzerindeki etkisinin asimetrik olduğunu, gecikmelerdeki artışın baskıyı artırdığını, ancak gecikmelerdeki azalmanın ise etkisinin olmadığını göstermektedir. Bu sonuçlar, gecikmelerin tedarik zinciri üzerindeki etkilerinin yapışkan olduğunu ve sistemden temizlenmelerinin uzun zaman aldığını göstermektedir. Bu doğrultuda, gecikmelerin uluslararası ticaret üzerindeki etkisini en aza indirecek politikalar önerilmektedir.

Anahtar Kelimeler

çizelge gecikmeleri sıkışıklıklar uluslararası ticaret asimetrik nedensellik

Kaynakça

  • Açık, A., & Başer, S. Ö. (2018). An analytical study on the likely causes of the minor bubbles in the Baltic dry index. International Journal of Logistics Economics and Globalisation, 7(4), 353-365. https://doi.org/10.1504/IJLEG.2018.097478
  • Adland, R., Cariou, P., & Wolff, F. C. (2016). The influence of charterers and owners on bulk shipping freight rates. Transportation Research Part E: Logistics and Transportation Review, 86, 69-82. https://doi.org/10.1016/j.tre.2015.11.014
  • Alizadeh, A. H., & Talley, W. K. (2011). Microeconomic determinants of dry bulk shipping freight rates and contract times. Transportation, 38, 561-579. https://doi.org/10.1007/s11116-010-9308-7
  • Alola, A. A., & Uzuner, G. (2021). Testing the asymmetric causal nexus of housing-oil prices and pandemic uncertainty in four major economies. Environmental Science and Pollution Research, 28(43), 60550-60556. https://doi.org/10.1007/s11356-021-14992-2
  • Andriantomanga, Z., Bolhuis, M., & Hakobyan, S. (2023). Global Supply Chain Disruptions: Challenges for Inflation and Monetary Policy in Sub-Saharan Africa. IMF Working Paper, 2023/039, http://doi.org/10.5089/9798400235528.001
  • Bai, X., Lam, J. S. L., & Jakher, A. (2021). Shipping sentiment and the dry bulk shipping freight market: New evidence from newspaper coverage. Transportation Research Part E: Logistics and Transportation Review, 155, 102490. https://doi.org/10.1016/j.tre.2021.102490
  • Bandyopadhyay, A., & Rajib, P. (2023). The asymmetric relationship between Baltic Dry Index and commodity spot prices: evidence from nonparametric causality-in-quantiles test. Mineral Economics, 36(2), 217-237. https://doi.org/10.1016/j.tre.2021.102490
  • Başer, S. Ö., & Açık, A. (2019). The effects of global economic growth on dry bulk freight rates. Journal of International Trade and Economic Researches, 3(1), 1-17. https://doi.org/10.30711/utead.507566
  • Beenstock, M., & Vergottis, A. (1989). An econometric model of the world tanker market. Journal of Transport Economics and Policy, 23(3), 263-280.
  • Benigno, G., di Giovanni, J., Groen, J. J. J., & Noble, A. I. (2022). A New Barometer of Global Supply Chain Pressures. Liberty Street Economics 20220104, Federal Reserve Bank of New York.
  • Branch, A. E., & Robarts, M. (2014). Branch’s Elements of Shipping, Ninth edition. New York: Routledge. Cariou, P., Ferrari, C., Parola, F., & Tei, A. (2019). Slow steaming in the maritime industry. In: Panayides, P. M. (Ed). The Routledge Handbook of Maritime Management. New York: Routledge. pp. 140-153.
  • Carrière-Swallow, Y., Deb, P., Furceri, D., Jiménez, D., & Ostry, J. D. (2023). Shipping costs and inflation. Journal of International Money and Finance, 130, 102771. https://doi.org/10.1016/j.jimonfin.2022.102771
  • Chi, J. (2016). Exchange rate and transport cost sensitivities of bilateral freight flows between the US and China. Transportation Research Part A: Policy and Practice, 89, 1-13. https://doi.org/10.1016/j.tra.2016.05.004
  • Clark, T., Foster, L., Sloan, L. & Bryman, A. (2021). Bryman's Social Research Methods. UK: Oxford University Press.
  • Dickey, D. A., & Fuller, W. A. (1981). Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root. Econometrica, 49(4), 1057–1072. https://doi.org/10.2307/1912517
  • Durmuş, A. N. (2023). The Intersection Between Law and Technology in Maritime Law. In: Noussia, K., Channon, M. (eds.), The Regulation of Automated and Autonomous Transport. Switzerland: Springer. pp. 107-166. https://doi.org/10.1007/978-3-031-32356-0_5
  • Enders, W. (2004). Applied Econometrics Time Series. New York: John Wiley.
  • Erdogan, S., Ahmed, M. Y., & Sarkodie, S. A. (2022). Analyzing asymmetric effects of cryptocurrency demand on environmental sustainability. Environmental Science and Pollution Research, 29, 31723–31733. https://doi.org/10.1007/s11356-021-17998-y
  • 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
  • Hatemi-J, A. (2012). Asymmetric causality tests with an application. Empirical Economics, 43(1), 447-456. https://doi.org/10.1007/s00181-011-0484-x
  • Hoffer, E. (2015). The Context of Global Supply Chain Security, In: Thomas, A. R., Vaduva, S. (Eds.), Global Supply Chain Security: Emerging Topics in Research, Practice and Policy. New York: Springer. pp. 1-16. https://doi.org/10.1007/978-1-4939-2178-2_1
  • Hupka, Y. (2022). Leverage and the global supply chain. Finance Research Letters, 50, 103269. https://doi.org/10.1016/j.frl.2022.103269
  • Janic, M. (2022). Resilience, Robustness, and Vulnerability of Transport Systems: Analysis, Modelling, and Practice. Switzerland: Springer. https://doi.org/10.1007/978-3-031-13040-3_1
  • Karakitsos, E., & Varnavides, L. (2014). Maritime economics: A macroeconomic approach. Springer. https://doi.org/10.1057/9781137383419
  • Kavussanos, M. G. (2003). Time varying risks among segments of the tanker freight markets. Maritime Economics & Logistics, 5(3), 227-250. https://doi.org/10.1057/palgrave.mel.9100079
  • Kim, I., Li, Q., & Noh, S. (2023). Global Supply Chain Pressure, Uncertainty, and Prices. http://doi.org/10.2139/ssrn.4467352
  • Koukaki, T., & Tei, A. (2020). The geography of commodity flows: the bulk sector. In: Wilmsmeier, G., and Monios, J. (eds.), Geographies of Maritime Transport. UK: Edward Elgar Publishing. pp. 71-86.
  • Lei, Q., & Bachmann, C. (2020). Assessing the role of port efficiency as a determinant of maritime transport costs: Evidence from Canada. Maritime Economics & Logistics, 22, 562-584. https://doi.org/10.1057/s41278-019-00135-5
  • Lewis, B. M., Erera, A. L., & White III, C. C. (2006). Impact of temporary seaport closures on freight supply chain costs. Transportation Research Record, 1963(1), 64-70. https://doi.org/10.1177/0361198106196300109
  • Li, J., Wang, Y., Song, Y., & Su, C. W. (2023). How resistant is gold to stress? New evidence from global supply chain. Resources Policy, 85, 103960. https://doi.org/10.1016/j.resourpol.2023.103960
  • Liu, Z., & Nguyen, T. L. (2023). Global Supply Chain Pressures and US Inflation. FRBSF Economic Letter, 2023(14), 1-6.
  • Ljung, G. M., & Box, G. E. (1978). On a measure of lack of fit in time series models. Biometrika, 65(2), 297-303. https://doi.org/10.1093/biomet/65.2.297
  • Lun, Y. H. V., Lai, K-H., Cheng, T. C. E., Yang, D. (2023). Shipping and Logistics Management. Switzerland: Springer. https://doi.org/10.1007/978-3-031-26090-2
  • MacFadyen, A. J. (2015). Beliefs in Behavioral and Neoclassical Economics. In: Altman, M. (eds.), Handbook of Contemporary Behavioral Economics: Foundations and Developments. New York: Routledge. pp. 183-201.
  • Magirou, E. F., Psaraftis, H. N., & Bouritas, T. (2015). The economic speed of an oceangoing vessel in a dynamic setting. Transportation Research Part B: Methodological, 76, 48-67. https://doi.org/10.1016/j.trb.2015.03.001
  • Michail, N. A., Melas, K. D., & Cleanthous, L. (2022). The relationship between shipping freight rates and inflation in the Euro Area. International Economics, 172, 40-49. https://doi.org/10.1016/j.inteco.2022.08.004
  • New York FED, (2023). Global Supply Chain Pressure Index (GSCPI). Retrieved on August 15, 2023, from https://www.newyorkfed.org/research/policy/gscpi#/overview
  • OECD, (2023). Economic Outlook for Southeast Asia, China and India 2023: Reviving Tourism Post-Pandemic. Paris: OECD Publishing.
  • Phillips, P. C. B., & Perron, P. (1988). Testing for a Unit Root in Time Series Regression. Biometrika, 75(2), 335–346. https://doi.org/10.1093/biomet/75.2.335
  • Plomaritou, E., & Papadopoulos, A. (2018). Shipbroking and chartering practice. USA: Informa law from Routledge.
  • Porter, M. E. (1990). Competitive Advantage of Nations. New York: The Free Press.
  • Qin, M., Su, C. W., Umar, M., Lobonţ, O. R., & Manta, A. G. (2023a). Are climate and geopolitics the challenges to sustainable development? Novel evidence from the global supply chain. Economic Analysis and Policy, 77, 748-763. https://doi.org/10.1016/j.eap.2023.01.002
  • Qin, M., Su, C. W., Lobonţ, O. R., & Moldovan, N. C. (2023b). Does global supply chain pressure motivate the gold market?. Economic Research-Ekonomska Istraživanja, 36(3), 2183229. https://doi.org/10.1080/1331677X.2023.2183229
  • Qin, M., Su, C. W., Wang, Y., & Doran, N. M. (2023c). Could “digital gold” resist global supply chain pressure?. Technological and Economic Development of Economy, 1-21. https://doi.org/10.3846/tede.2023.18557
  • Reyes, J. A. and Sawyer, W. C. (2016). Latin American Economic Development. New York: Routledge.
  • S&P Global (2023). Use the Purchasing Managers’ Index (PMI) for accurate and timely insight into the health of the global economy. Retrieved on September 6, 2023 from https://www.spglobal.com/marketintelligence/en/mi/products/pmi.html
  • Schuldt, A. (2011). Multiagent Coordination Enabling Autonomous Logistics. Germany: Springer. https://doi.org/10.1007/978-3-642-20092-2
  • Sea-Intelligence, (2023). Global Schedule Reliability & Global Average Delays for Late Vessel Arrivals. Retrieved on July 15, 2023 from https://www.sea-intelligence.com/
  • Sexton, R. L. (2016). Exploring Macroeconomics. UK: Cengage Learning.
  • Shahzad, U., Mohammed, K. S., Schneider, N., Faggioni, F., & Papa, A. (2023). GDP responses to supply chain disruptions in a post-pandemic era: Combination of DL and ANN outputs based on Google Trends. Technological Forecasting and Social Change, 192, 122512. https://doi.org/10.1016/j.techfore.2023.122512
  • Shen, C. W., & Chou, C. C. (2015). Temporal causality between dry bulk freight and crude oil price. Paper presented at the International Association of Maritime Economists (IAME) conference, Kuala Lumpur, Malaysia.
  • Shi, W., Gong, Y., Yin, J., Nguyen, S., & Liu, Q. (2022). Determinants of dynamic dependence between the crude oil and tanker freight markets: A mixed-frequency data sampling copula model. Energy, 254(Part B), 124354. https://doi.org/10.1016/j.energy.2022.124354
  • Song, D-P. (2021). Container Logistics and Maritime Transport. New York: Routledge.
  • Strandenes, S. P. (1984). Price determination in the time charter and second hand markets (Center for Applied Research, Norwegian School of Economics and Business Administration, Working Paper MU, 6). Retrieved on September 5, 2023 from https://www.econbiz.de/
  • Su, C. W., Wang, Y., Qin, M., & Lobonţ, O. R. (2023). Do Precious Metals Hedge against Global Supply Chain Uncertainty?. Borsa Istanbul Review, 23(5), 1026-1036. https://doi.org/10.1016/j.bir.2023.05.004
  • Tiwari, S., Mohammed, K. S., Mentel, G., Majewski, S., & Shahzadi, I. (2023). Role of circular economy, energy transition, environmental policy stringency, and supply chain pressure on CO2 emissions in emerging economies. Geoscience Frontiers, 101682. https://doi.org/10.1016/j.gsf.2023.101682
  • 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
  • Tongzon, J. L. (2022). Principles of International Logistics. USA: Edward Elgar Publishing.
  • Transport Geography, (2023). Global Supply Chain Pressure Index and Major Supply Chain Disruptions. Retrieved on August 15, 2023, from https://transportgeography.org/contents/chapter7/logistics-freight-distribution/global-supply-chain-pressure-index/
  • 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.
  • Verbraeck, A., Kurapati, S., & Lukosch, H. (2016). Serious games for improving situational awareness in container terminals. In: Zijm, H., Klumpp, M., Clausen, U., ten Hompel, M. (Eds.). Logistics and Supply Chain Innovation: Bridging the Gap between Theory and Practice. Switzerland: Springer. pp. 413-431. https://doi.org/10.1007/978-3-319-22288-2_25
  • Wilmsmeier, G., & Hoffmann, J. (2008). Liner shipping connectivity and port infrastructure as determinants of freight rates in the Caribbean. Maritime Economics & Logistics, 10, 130-151. https://doi.org/10.1057/palgrave.mel.9100195
  • Wilmsmeier, G., & Martinez-Zarzoso, I. (2010). Determinants of maritime transport costs–a panel data analysis for Latin American trade. Transportation Planning and Technology, 33(1), 105-121. https://doi.org/10.1080/03081060903429447
  • Xu, J. J., Yip, T. L., & Marlow, P. B. (2011). The dynamics between freight volatility and fleet size growth in dry bulk shipping markets. Transportation Research Part E: Logistics and Transportation Review, 47(6), 983-991. https://doi.org/10.1016/j.tre.2011.05.008
  • Xu, L., Zou, Z., & Zhou, S. (2022). The influence of COVID-19 epidemic on BDI volatility: An evidence from GARCH-MIDAS model. Ocean & Coastal Management, 229, 106330. https://doi.org/10.1016/j.ocecoaman.2022.106330
  • Ye, M., Si Mohammed, K., Tiwari, S., Ali Raza, S., & Chen, L. (2023). The effect of the global supply chain and oil prices on the inflation rates in advanced economies and emerging markets. Geological Journal, 58(7), 2805-2817. https://doi.org/10.1002/gj.4742
  • Yin, J., Luo M., & Fan. L. (2017). Dynamics and interactions between spot and forward freights in the dry bulk shipping market. Maritime Policy & Management, 44(2), 271–288. https://doi.org/10.1080/03088839.2016.1253884
Toplam 67 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Deniz Taşımacılığı ve Nakliye Hizmetleri
Bölüm Araştırma Makaleleri
Yazarlar

Abdullah Açık 0000-0003-4542-9831

Erken Görünüm Tarihi 14 Aralık 2023
Yayımlanma Tarihi 27 Aralık 2023
Gönderilme Tarihi 17 Ağustos 2023
Kabul Tarihi 28 Eylül 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 5 Sayı: 2

Kaynak Göster

APA Açık, A. (2023). Analyzing the impact of container shipping service reliability on global supply chain pressure: An asymmetric approach. Marine and Life Sciences, 5(2), 40-50. https://doi.org/10.51756/marlife.1345168
 Kapak Resmi İndir
Flag Counter