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Are larger and more complex port more productive? An analysis of Spanish port authorities

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  • Tovar, Beatriz
  • Wall, Alan

Abstract

Several Spanish ports have grown substantially in recent decades. Ports in Spain are heterogeneous in that they differ substantially in terms of complexity, size and traffic mix. We measure the productivity of Spanish port authorities and identify the drivers of productivity taking into account this heterogeneity in order to provide more meaningful estimates of efficiency and productivity change. Using a sample of 26 ports observed over the period 1993–2016, we classify these ports into two different groups according to their overall size and their importance in terms of individual outputs. Segregating the sample into these two distinct groups permits us to draw a more precise picture of the consequences for productivity of the changes that have occurred in the sector in Spain over the last quarter of a century. Using Data Envelopment Analysis techniques, we calculate and decompose Malmquist productivity indexes using a metafrontier analysis. We use these indexes to estimate an Arellano-Bond Generalised Method Moments model to explain the differences in productivity change. Our results show that the group of large and complex port authorities had a considerable technological advantage, being closer to the metafrontier on average than the other group. Relative size, which can be interpreted as a measure of complexity of the port authority, has a strong positive influence on productivity growth. Specialisation in solids, container cargo and general bulk also increased productivity growth, but specialisation in liquids has no effect.

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  • Tovar, Beatriz & Wall, Alan, 2019. "Are larger and more complex port more productive? An analysis of Spanish port authorities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 265-276.
  • Handle: RePEc:eee:transa:v:121:y:2019:i:c:p:265-276
    DOI: 10.1016/j.tra.2019.01.008
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    1. César Ducruet & Hans R.A. Koster & Daniel J. van der Beek, 2010. "Commodity variety and seaport performance," Post-Print hal-03246468, HAL.
    2. P. W. de Langen, 2002. "Clustering and performance: the case of maritime clustering in The Netherlands," Maritime Policy & Management, Taylor & Francis Journals, vol. 29(3), pages 209-221.
    3. Cesar Ducruet & Hans Koster & Daniel Van der Beek, 2010. "Commodity Variety and Seaport Performance," Regional Studies, Taylor & Francis Journals, vol. 44(9), pages 1221-1240.
    4. Coelli, Tim & Fleming, Euan, 2004. "Diversification economies and specialisation efficiencies in a mixed food and coffee smallholder farming system in Papua New Guinea," Agricultural Economics, Blackwell, vol. 31(2-3), pages 229-239, December.
    5. Chang, Víctor & Tovar, Beatriz, 2017. "Metafrontier analysis on productivity for West Coast of South Pacific terminals," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 118-134.
    6. A. Medal-Bartual & M. Molinos-Senante & R. Sala-Garrido, 2016. "Productivity change of the Spanish Port System: impact of the economic crisis," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(6), pages 683-705, August.
    7. Ku-Hsieh Chen & Hao-Yen Yang, 2011. "A cross-country comparison of productivity growth using the generalised metafrontier Malmquist productivity index: with application to banking industries in Taiwan and China," Journal of Productivity Analysis, Springer, vol. 35(3), pages 197-212, June.
    8. Cullinane Kevin & Song Dong-Wook & Ji Ping & Wang Teng-Fei, 2004. "An Application of DEA Windows Analysis to Container Port Production Efficiency," Review of Network Economics, De Gruyter, vol. 3(2), pages 1-23, June.
    9. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    10. Christopher O’Donnell & D. Rao & George Battese, 2008. "Metafrontier frameworks for the study of firm-level efficiencies and technology ratios," Empirical Economics, Springer, vol. 34(2), pages 231-255, March.
    11. Halvor Schøyen & James Odeck, 2013. "The technical efficiency of Norwegian container ports: A comparison to some Nordic and UK container ports using Data Envelopment Analysis (DEA)," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 15(2), pages 197-221, June.
    12. Beatriz Tovar & Alan Wall, 2017. "Dynamic Cost Efficiency in Port Infrastructure Using a Directional Distance Function: Accounting for the Adjustment of Quasi-Fixed Inputs Over Time," Transportation Science, INFORMS, vol. 51(1), pages 296-304, February.
    13. Cheon, SangHyun & Dowall, David E. & Song, Dong-Wook, 2010. "Evaluating impacts of institutional reforms on port efficiency changes: Ownership, corporate structure, and total factor productivity changes of world container ports," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(4), pages 546-561, July.
    14. George Battese & D. Rao & Christopher O'Donnell, 2004. "A Metafrontier Production Function for Estimation of Technical Efficiencies and Technology Gaps for Firms Operating Under Different Technologies," Journal of Productivity Analysis, Springer, vol. 21(1), pages 91-103, January.
    15. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    16. Tovar, Beatriz & Wall, Alan, 2015. "Can ports increase traffic while reducing inputs? Technical efficiency of Spanish Port Authorities using a directional distance function approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 71(C), pages 128-140.
    17. Guan Zhengfei & Alfons Oude Lansink, 2006. "The Source of Productivity Growth in Dutch Agriculture: A Perspective from Finance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(3), pages 644-656.
    18. Hong-Oanh Nguyen & Hong-Van Nguyen & Young-Tae Chang & Anthony T. H. Chin & Jose Tongzon, 2016. "Measuring port efficiency using bootstrapped DEA: the case of Vietnamese ports," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(5), pages 644-659, July.
    19. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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    5. Xiao, Yi & Qi, Guanqiu & Jin, Mengjie & Yuen, Kum Fai & Chen, Zhuo & Li, Kevin X., 2021. "Efficiency of Port State Control inspection regimes: A comparative study," Transport Policy, Elsevier, vol. 106(C), pages 165-172.

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