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The Estimation of The Productivities of Institutions under Ministry of Oceans and Fisheries

해양수산부 산하기관의 생산성 추정에 관한 연구

  • Received : 2015.11.16
  • Accepted : 2015.12.14
  • Published : 2016.02.29

Abstract

This study applied the parametric bootstrapping method to analyze whether there was a change in the production efficiency of institutions under Ministry of Oceans and Fisheries. This study used input and output oriented productivity simultaneously. In particular, the productivity was estimated through 95% confidence interval derived by 2000 times re-sampling process. The results of the study showed us a reduction in overall total factor productivity by 24% between 2009 and 2013, and 7% of decreases in productivity annually. A recent conditions of an external economic shocks brought a 28% downward shift of production function. In this study, public institutions were divided into three types, which were public, quasi-government, and other public institutions. There were approximately 13%, 1%, and 5% decreases in total factor productivity per each. In analyzing the productivity each of 14 institutions, approximately DMU4 and DMU6 had 4%, and 5% increases in productivity per each. While DMU14 showed us no changes in productivity, all of the other 10 DMUs were estimated the decreases in productivities.

Keywords

References

  1. All public information in one ALIO (2015), [available at http://www.alio.go.kr].
  2. An, Sook-Chan(2014), The Performance of Public Institution and Firm Characteristics, Journal of The Korean Academic Association of Business Administration 27, 835-859.
  3. Chang, Ho-Young(2003), Analysis on the Present Business States of Coastal and Off-shore Fisheries by Type of Fishery, Journal of Fishier and Marin Educational Research 15(2), 166-175.
  4. Kim, Dae-Young(2009), The Study on the Reorganization of the Large Purse Seine Fisheries in Korea, Journal of Fishier and Marin Educational Research 21(3), 373-389.
  5. Koo, Myung-Sung.Kim, Suk-Jong(2014), A Study of the Efficiency of the Labor-saving type, Five-step-drum Net Hauler, Journal of Fishier and Marin Educational Research 26(1), 98-107.
  6. Ministry of Strategy and Finance(2013), Evaluation of public institution management.
  7. Park, Cheol-Hyung(2011), The Comparative Estimation of Productivity Changes in Fisheries Port Markets Using the Malmquist Distance Functions, Journal of Institute of Human and Social Science (12), 57-82.
  8. Park, Cheol-Hyung(2014), The estimates of the productivity in adjacent water fisheries, The Journal of Fisheries Business Administration (45), 63-77.
  9. Park, Cheol-Hyung.Choi, Chi-Hoon(2012), The Comparative Analysis of the Aquaculture Efficiency Based on DEA, Journal of the Korean Association of island 24(1) 33-49.
  10. Silverman, B. W. (1986), Density Estimation for Statistics and Data Analysis, London, Chapman and Hall.
  11. Simar, L. and Wilson, P. W. (1999), Estimating and Bootstrapping Malmquist Indices, European Journal of Operational Research 115, 459-471. https://doi.org/10.1016/S0377-2217(97)00450-5
  12. Simar, L. and Wilson, P. W. (2000), A General Methodology for Bootstrapping Nonparametric Frontier Models, Journal of Applied Statistics 27, 779-802. https://doi.org/10.1080/02664760050081951
  13. Song, Jung-Hun.Kim, Hye-Seong(2013), A Comparative Analysis on Business Performance of Abalone Sea-Cage Aquaculure in Wando Region, Journal of Fishier and Marin Educational Research 25(2), 410-418.
  14. Yoon, Han-Sam et al.(2005), Proposed optimal fishing-ground plan to increase productivity in the Ki-jang coastal region of Busan, Korea, Journal of Fishier and Marin Educational Research 17(3), 361-372.

Cited by

  1. Analysis of Management Production Efficiency for Abalone Aquaculture in Wando Area vol.28, pp.6, 2016, https://doi.org/10.13000/JFMSE.2016.28.6.1629