20 research outputs found
A Study on the Efficiency Measurement of Regional Maritime Affairs and Fisheries Office by DEA Method
The purpose of this paper is to measure the productive efficiency and competitive strength of Regional Maritime Affairs and Fisheries Office using the DEA. Using EMS(Efficiency Measurement System)which is LP solver, quantifies in one way or another a "distance" to the efficient frontier of the technology. An input oriented measure quantifies the input reduction which is necessary to become efficient holding the output constant. Symmetrically, an output oriented measure quantifies the necessary to become efficient holding the inputs constant. A non-oriented measure quantifies necessary improvements when both inputs and outputs can be improved simultaneously.
According to the analysis result of the DEA method, inefficient Regional Maritime Affairs and Fisheries Office should recommend benchmarking reference Regional Maritime Affairs and Fisheries Office in order to enhance the productive efficiency of port administration and a public institution. Besides data on productive efficiency serves as a tool for policy-makers at all levels of activity and is essential for improving the efficiency with which the various systems operate. Ongoing reviews of productive efficiency, while evaluating what remains to be improved, should also investigate connections between productive efficiency and organizational characteristics.
The empirical main results of this paper are as follows.
Firstly, Regional Maritime Affairs and Fisheries Office of Busan, Pyeongtaek, Daesan, Mokpo, Masan, Ulsan, Jeju were found to be efficient in the CCR model. Second, the inefficient Regional Maritime Affairs and Fisheries Offices are Inchon, Donghae, Gunsan, Yeosu, Pohang. And Their benchmark Regional Maritime Affairs and Fisheries Offices are Regional Maritime Affairs and Fisheries Offices of Pyeongtaek, Daesan, Masan, Ulsan, Jeju.์ 1 ์ฅ ์๋ก = 1
1.1 ์ฐ๊ตฌ์ ๋ฐฐ๊ฒฝ = 1
1.2 ์ฐ๊ตฌ์ ๋ชฉ์ ๋ฐ ๊ตฌ์ฑ = 2
์ 2 ์ฅ ๊ณต๊ณตํ์ ์ ํจ์จ์ฑ ๋ถ์์ ๊ดํ ์ด๋ก ์ ๋ฐฐ๊ฒฝ = 4
2.1 ์์ฐ์ฑ์ ๊ฐ๋
๋ฐ ํจ์จ์ฑ์ ์ ์ = 4
2.1.1 ์์ฐ์ฑ์ ๊ฐ๋
= 4
2.1.2 ํจ์จ์ฑ์ ์ ์ = 6
2.2 ์ง๋ฐฉํด์์์ฐ์ฒญ ํ์ ์ ์ดํด = 14
2.2.1 ํญ๋งํ์ ์ ์ญํ ๋ฐ ์ค์์ฑ = 14
2.2.2 ์ฐ๋ฆฌ๋๋ผ ํญ๋งํ์ ์ ๋ณ์ฒ = 16
2.2.3 ์ง๋ฐฉํด์์์ฐ์ฒญ ํญ๋งํ์ ์ ์ญํ = 20
2.3 DEA์ ์ํ ํจ์จ์ฑ ๋ถ์์ด๋ก = 22
2.3.1 DEA์ ์ ์ ๋ฐ ํน์ง = 22
2.3.2 DEA ํจ์จ์ฑ์ ๊ฐ๋
= 23
2.3.3 CCR๋ชจํ๊ณผ BCC๋ชจํ = 25
2.3.4 DEA ์ ์ฉ ์ฐ๊ตฌ์ฌ๋ก ๋ฌธํ์ฐ๊ตฌ = 28
์ 3 ์ฅ DEA์ ์ํ ์ง๋ฐฉํด์์์ฐ์ฒญ์ ํจ์จ์ฑ ๋ถ์ ์ด๋ก = 31
3.1 ๊ณต๊ณต๋ถ๋ฌธ ์์ฐ์ฑ ์งํ์ ํน์ง = 32
3.2 ์ง๋ฐฉํด์์์ฐ์ฒญ ์์ฐ์ฑ ์งํ์ ์ ์ฐ๊ตฌ = 34
3.3 ํฌ์
๋ณ์์ ์ฐ์ถ๋ณ์์ ์ ์ = 37
์ 4 ์ฅ DEA์ ์ํ ์ง๋ฐฉํด์์์ฐ์ฒญ ํจ์จ์ฑ์ ๋ํ ์ค์ฆ ๋ถ์ = 44
4.1 ์ง๋ฐฉํด์์์ฐ์ฒญ์ ํจ์จ์ฑ ๋ถ์๊ฒฐ๊ณผ = 44
4.2 ์ง๋ฐฉํด์์์ฐ์ฒญ์ ํจ์จ์ฑ ๋น๊ต๋ถ์ ๋ฐ ๊ฐ์ ๋ฐฉ์ = 56
์ 5 ์ฅ ๊ฒฐ๋ก = 61
5.1 ์์ฝ ๋ฐ ์ ์ธ = 61
5.2 ํฅํ ์ฐ๊ตฌ์ ๊ณผ์ = 62
์ฐธ๊ณ ๋ฌธํ = 6
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