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Seaports Activity (A)synchronicity, Trade Intensity and Business Cycle Convergence: A Panel Data Analysis

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  • Ioannis Tsamourgelis
  • Persa Paflioti
  • Thomas Vitsounis

Abstract

In the present paper we suggest and test a general model that aims to explain the determinants and the extent of parallel moving (i.e. the synchronization) of trading ports activities. The model adopts a macro-approach and its main constituents are a) the business cycle (GDP) convergence, b) the intensity of trade between the countries of origin and destination, and c) the variables associated to international shipping developments. The present study makes possible the identification of distinct influences on the link between a given country’s economic and port activities influences which can traced back mainly to macro policies. The elaboration of such determinants and their relationships contribute to a better understanding of the dynamics of port throughput and facilitates infrastructure planning and strategic policy decision. The present paper’s conclusions feature a framework for modeling the relationship between ports and shipping activities. Panel data from European main ports for the period 1986-2010 were used for the empirical investigation and a dynamic panel GMM estimation technique was employed. Model simulations are conducted and provide evidence that an increase or decrease of port business cycle synchronization is a) attributed to the technical and structural characteristics of ports and, b) greatly influenced by the general macroeconomic environment.

Suggested Citation

  • Ioannis Tsamourgelis & Persa Paflioti & Thomas Vitsounis, 2013. "Seaports Activity (A)synchronicity, Trade Intensity and Business Cycle Convergence: A Panel Data Analysis," International Journal of Maritime, Trade & Economic Issues (IJMTEI), International Journal of Maritime, Trade & Economic Issues (IJMTEI), vol. 0(1), pages 67-92.
    • Handle: RePEc:ers:ijmtei:v:i:y:2013:i:1:p:67-92
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    1. Frankel, Jeffrey A & Rose, Andrew K, 1998. "The Endogeneity of the Optimum Currency Area Criteria," Economic Journal, Royal Economic Society, vol. 108(449), pages 1009-1025, July.
    2. Backus, David K & Kehoe, Patrick J & Kydland, Finn E, 1994. "Dynamics of the Trade Balance and the Terms of Trade: The J-Curve?," American Economic Review, American Economic Association, vol. 84(1), pages 84-103, March.
    3. Michael Artis & George Chouliarakis & P. K. G. Harischandra, 2011. "Business Cycle Synchronization Since 1880," Manchester School, University of Manchester, vol. 79(2), pages 173-207, March.
    4. Stockman, Alan C., 1988. "Sectoral and national aggregate disturbances to industrial output in seven European countries," Journal of Monetary Economics, Elsevier, vol. 21(2-3), pages 387-409.
    5. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    6. Calderon, Cesar & Chong, Alberto & Stein, Ernesto, 2007. "Trade intensity and business cycle synchronization: Are developing countries any different?," Journal of International Economics, Elsevier, vol. 71(1), pages 2-21, March.
    7. David Backus & Patrick Kehoe & Finn Kydland, 1992. "Dynamics of the trade balance and the terms of trade: the J-curve revisited," Discussion Paper / Institute for Empirical Macroeconomics 65, Federal Reserve Bank of Minneapolis.
    8. Hsiao, Cheng & Mountain, Dean C & Illman, Kathleen Ho, 1995. "A Bayesian Integration of End-Use Metering and Conditional-Demand Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 315-326, July.
    9. Michael Artis & Toshihiro Okubo, 2011. "Does International Trade Really Lead To Business Cycle Synchronization?—A Panel Data Approach," Manchester School, University of Manchester, vol. 79(2), pages 318-332, March.
    10. Baxter, Marianne & Kouparitsas, Michael A., 2005. "Determinants of business cycle comovement: a robust analysis," Journal of Monetary Economics, Elsevier, vol. 52(1), pages 113-157, January.
    11. António Afonso & Davide Furceri, 2009. "Sectoral Business Cycle Synchronization in the European Union," Economics Bulletin, AccessEcon, vol. 29(4), pages 2996-3014.
    12. Pedro Cerqueira, 2013. "A closer look at the world business cycle synchronization," International Economics and Economic Policy, Springer, vol. 10(3), pages 349-363, September.
    13. Julian di Giovanni & Andrei A. Levchenko, 2010. "Putting the Parts Together: Trade, Vertical Linkages, and Business Cycle Comovement," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(2), pages 95-124, April.
    14. Canova, Fabio & Dellas, Harris, 1993. "Trade interdependence and the international business cycle," Journal of International Economics, Elsevier, vol. 34(1-2), pages 23-47, February.
    15. Stijn Claessens & M. Ayhan Kose & Marco E. Terrones, 2009. "What happens during recessions, crunches and busts?," Economic Policy, CEPR;CES;MSH, vol. 24, pages 653-700, October.
    16. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    17. Anderson, H.M. & Kwark, N.-S. & Vahid, F., 1999. "Does International Trade Synchronize Business Cycles?," Monash Econometrics and Business Statistics Working Papers 8/99, Monash University, Department of Econometrics and Business Statistics.
    18. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 33(1), pages 125-132.
    19. Cerqueira, Pedro André & Martins, Rodrigo, 2009. "Measuring the determinants of business cycle synchronization using a panel approach," Economics Letters, Elsevier, vol. 102(2), pages 106-108, February.
    20. Griliches, Zvi & Hausman, Jerry A., 1986. "Errors in variables in panel data," Journal of Econometrics, Elsevier, vol. 31(1), pages 93-118, February.
    21. Blackburn, Keith & Ravn, Morten O, 1992. "Business Cycles in the United Kingdom: Facts and Fictions," Economica, London School of Economics and Political Science, vol. 59(236), pages 383-401, November.
    22. Leigh B Boske & John C Cuttino, 2003. "Measuring the Economic and Transportation Impacts of Maritime-related Trade," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 5(2), pages 133-157, June.
    23. Michael D. Bordo & Thomas F. Helbling, 2011. "International Business Cycle Synchronization In Historical Perspective," Manchester School, University of Manchester, vol. 79(2), pages 208-238, March.
    24. Yetman, James, 2011. "Exporting recessions: International links and the business cycle," Economics Letters, Elsevier, vol. 110(1), pages 12-14, January.
    25. Alicia Garcia-Herrero & Juan M. Ruiz, 2008. "Do Trade and Financial Linkages Foster Business cycle Synchronization in a small economy?," Working Papers 0801, BBVA Bank, Economic Research Department.
    26. Calderon, Cesar & Chong, Alberto & Stein, Ernesto, 2007. "Trade intensity and business cycle synchronization: Are developing countries any different?," Journal of International Economics, Elsevier, vol. 71(1), pages 2-21, March.
    27. Eichengreen, B., 1992. "Should the Maastricht Treaty be Saved?," Princeton Studies in International Economics 74, International Economics Section, Departement of Economics Princeton University,.
    28. Clark, Todd E. & van Wincoop, Eric, 2001. "Borders and business cycles," Journal of International Economics, Elsevier, vol. 55(1), pages 59-85, October.
    29. Artis, Michael J & Zhang, Wenda, 1999. "Further Evidence on the International Business Cycle and the ERM: Is There a European Business Cycle?," Oxford Economic Papers, Oxford University Press, vol. 51(1), pages 120-132, January.
    30. Imbs, Jean, 2006. "The real effects of financial integration," Journal of International Economics, Elsevier, vol. 68(2), pages 296-324, March.
    31. Juvenal, Luciana & Santos Monteiro, Paulo, 2017. "Trade and synchronization in a multi-country economy," European Economic Review, Elsevier, vol. 92(C), pages 385-415.
    32. Finn E. Kydland & Edward C. Prescott, 1990. "Business cycles: real facts and a monetary myth," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Spr, pages 3-18.
    33. Inklaar, Robert & Jong-A-Pin, Richard & de Haan, Jakob, 2008. "Trade and business cycle synchronization in OECD countries--A re-examination," European Economic Review, Elsevier, vol. 52(4), pages 646-666, May.
    34. Manolis G. Kavussanos & Amir H. Alizadeh-M, 2002. "The Expectations Hypothesis of the Term Structure and Risk Premiums in Dry Bulk Shipping Freight Markets," Journal of Transport Economics and Policy, University of Bath, vol. 36(2), pages 267-304, May.
    35. Marco Terrones & Eswar S Prasad & Ayhan Kose, 2003. "Financial Integration and Macroeconomic Volatility," IMF Working Papers 03/50, International Monetary Fund.
    36. Jarque, Carlos M. & Bera, Anil K., 1980. "Efficient tests for normality, homoscedasticity and serial independence of regression residuals," Economics Letters, Elsevier, vol. 6(3), pages 255-259.
    37. Carmen M. Reinhart & Sara Calvo, 1996. "Capital Flows to Latin America: Is There Evidence of Contagion Effects?," Peterson Institute Press: Chapters,in: Guillermo A. Calvo & Morris Goldstein & Eduard Hochreiter (ed.), Private Capital Flows to Emerging Markets After the Mexican Crisis, pages 151-171 Peterson Institute for International Economics.
    38. Cragg, John G, 1983. "More Efficient Estimation in the Presence of Heteroscedasticity of Unknown Form," Econometrica, Econometric Society, vol. 51(3), pages 751-763, May.
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    Keywords

    Port throughput; business cycle synchronization; bilateral trade; GDP Convergence; shipping determinants;

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • F62 - International Economics - - Economic Impacts of Globalization - - - Macroeconomic Impacts
    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General

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