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An Analysis of Technical Efficiency of Port Labor Using DEA/Super Efficiency

DEA/초효율법을 이용한 항만노무 효율성 분석

  • Jang, Woon-Jae (Division of Maritime transportation system, Mokpo National Maritime University)
  • 장운재 (목포해양대학교 국제해사수송과학부)
  • Received : 2017.02.02
  • Accepted : 2017.04.27
  • Published : 2017.04.30

Abstract

This paper measured and evaluated the technical efficiency, pure technical efficiency and scale efficiency of port labor via three inputs and three outputs using Data Envelopment Analysis (DEA). First, the average overall technical efficiency measured about 94.18 %, with 100 % pure technical efficiency being larger than 94.18% scale efficiency. As a result, 7 ports were identified as efficient, and 4 ports were identified as inefficient. Among the 4 ineffiecient ports, Donghae had the highest Increasing Return to Scale (IRS). However, the inefficient ports were all found to be less efficient in terms of resource operation than production scale. On the other hand, the efficient ports established priorities using the super efficiency method. As a result, port efficiency was highest for Incheon, Mokpo, Pyeongtaek-Dangjin, Masan, Yeosu Gwangyang, Jeju, and Gunsan-Daesan Ports, in order. In particular, Busan Port, found to be inefficient, would benefit from using Mokpo Port and Incheon Port as benchmarks to increase trade volume and modernize equipment for full-scale commercialization to improve labor efficiency.

본 연구는 3개의 투입변수와 3개의 산출변수로 구성된 DEA법을 이용하여 우리나라 항만의 노무효율성을 측정 평가하였다. 대상항만의 전체 기술적 효율성은 평균 94.18% 수준이었으며, 순수 기술적 효율성은 100%로 나타났고 규모의 효율성은 94.18%로 전체 기술적 비효율성이 가장 높게 나타났다. 분석결과 7개의 항만은 효율적인 항만으로 측정되었고 4개의 항만은 비효율적 항만으로 측정되었다. 4개의 비효율적 항만중 규모에 대한 수익체증은 동해항으로 나타났다. 그러나 비효율적인 항만들은 생산규모의 비효율성보다 자원운영의 비효율성이 높은 것으로 나타났다. 한편 초효율법을 이용하여 효율적인 항만의 우선순위를 분석한 결과 인천항, 목포항, 평택당진항, 마산항, 여수광양항, 제주항, 군산대산항 순으로 효율성이 높은 것으로 나타났다. 특히 비효율적인 부산항은 목포항 및 인천항을 벤치마킹하여 항만 물동량의 증대, 장비의 현대화 및 노무효율성의 향상을 위해 전면적인 노무상용화가 필요하다.

References

  1. Cho, G. S.(2009), A Study on the Analysis of Operational Effect of the Port Supply System Reorganization (Focused on the Operation Case of Busan Port 4 Pier), Master's Thesis of Graduate School of Maritime Industry, Korea Maritime University.
  2. Drakes, L. and R. Simper(2003), The measurement of English and Welsh police force efficiency; a comparision of distance function model, European journal of operational Research, 158, pp. 165-186.
  3. Hong, B. Y. and J. O. Goo(2000), A Data Envelopment Analysis of the Efficiency of Credit Unions, Financial Management Research, Vol. 17, No. 2, pp. 277-292.
  4. Keum, J. S. and W. J. Jang(2005), An Analysis of Technical Efficiency in the Korean RCC/RSC, Journal of korean navigation and port research, Vol. 29, No. 3, pp. 215-220. https://doi.org/10.5394/KINPR.2005.29.3.215
  5. KMI(2009), A Study on the outcome analysis and development plan in accordance with port manpower supply system reform, Korea Maritime Institution.
  6. Korea Port Logistics Association(2016), Port labors booklet 2015.
  7. Lee, H. S. and K. S. Kim(2007), Measuring Efficiency of Korean Steel Industry Employing DEA, Journal of the Korea Contents Association, Vol. 7, No. 6 pp. 195-205. https://doi.org/10.5392/JKCA.2007.7.6.195
  8. Ministry of Maritime Affairs and Fisheries(2015), Marine Fisheries Statistical Yearbook 2015.
  9. Park, J. H. and J. B. Moon(2010), Efficiency Analysis Using DEA for national RD Program for Regional Industrial Technology, Korea Industrial Economics Research, Vol. 23, No. 4, pp. 2047-2068.
  10. Sun, S.(2002), Measuring the relative efficiency of police precincts using data envelopment analysis, Socio-Economic Planning sciences, 36, pp. 51-71. https://doi.org/10.1016/S0038-0121(01)00010-6