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    A Study on the Efficiency Measurement of Regional Maritime Affairs and Fisheries Office by DEA Method

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    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.์ œ 1 ์žฅ ์„œ๋ก  = 1 1.1 ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ = 1 1.2 ์—ฐ๊ตฌ์˜ ๋ชฉ์  ๋ฐ ๊ตฌ์„ฑ = 2 ์ œ 2 ์žฅ ๊ณต๊ณตํ–‰์ •์˜ ํšจ์œจ์„ฑ ๋ถ„์„์— ๊ด€ํ•œ ์ด๋ก ์  ๋ฐฐ๊ฒฝ = 4 2.1 ์ƒ์‚ฐ์„ฑ์˜ ๊ฐœ๋… ๋ฐ ํšจ์œจ์„ฑ์˜ ์ •์˜ = 4 2.1.1 ์ƒ์‚ฐ์„ฑ์˜ ๊ฐœ๋… = 4 2.1.2 ํšจ์œจ์„ฑ์˜ ์ •์˜ = 6 2.2 ์ง€๋ฐฉํ•ด์–‘์ˆ˜์‚ฐ์ฒญ ํ–‰์ •์˜ ์ดํ•ด = 14 2.2.1 ํ•ญ๋งŒํ–‰์ •์˜ ์—ญํ•  ๋ฐ ์ค‘์š”์„ฑ = 14 2.2.2 ์šฐ๋ฆฌ๋‚˜๋ผ ํ•ญ๋งŒํ–‰์ •์˜ ๋ณ€์ฒœ = 16 2.2.3 ์ง€๋ฐฉํ•ด์–‘์ˆ˜์‚ฐ์ฒญ ํ•ญ๋งŒํ–‰์ •์˜ ์—ญํ•  = 20 2.3 DEA์— ์˜ํ•œ ํšจ์œจ์„ฑ ๋ถ„์„์ด๋ก  = 22 2.3.1 DEA์˜ ์ •์˜ ๋ฐ ํŠน์ง• = 22 2.3.2 DEA ํšจ์œจ์„ฑ์˜ ๊ฐœ๋… = 23 2.3.3 CCR๋ชจํ˜•๊ณผ BCC๋ชจํ˜• = 25 2.3.4 DEA ์ ์šฉ ์—ฐ๊ตฌ์‚ฌ๋ก€ ๋ฌธํ—Œ์—ฐ๊ตฌ = 28 ์ œ 3 ์žฅ DEA์— ์˜ํ•œ ์ง€๋ฐฉํ•ด์–‘์ˆ˜์‚ฐ์ฒญ์˜ ํšจ์œจ์„ฑ ๋ถ„์„ ์ด๋ก  = 31 3.1 ๊ณต๊ณต๋ถ€๋ฌธ ์ƒ์‚ฐ์„ฑ ์ง€ํ‘œ์˜ ํŠน์ง• = 32 3.2 ์ง€๋ฐฉํ•ด์–‘์ˆ˜์‚ฐ์ฒญ ์ƒ์‚ฐ์„ฑ ์ง€ํ‘œ์„ ์ • ์—ฐ๊ตฌ = 34 3.3 ํˆฌ์ž…๋ณ€์ˆ˜์™€ ์‚ฐ์ถœ๋ณ€์ˆ˜์˜ ์„ ์ • = 37 ์ œ 4 ์žฅ DEA์— ์˜ํ•œ ์ง€๋ฐฉํ•ด์–‘์ˆ˜์‚ฐ์ฒญ ํšจ์œจ์„ฑ์— ๋Œ€ํ•œ ์‹ค์ฆ ๋ถ„์„ = 44 4.1 ์ง€๋ฐฉํ•ด์–‘์ˆ˜์‚ฐ์ฒญ์˜ ํšจ์œจ์„ฑ ๋ถ„์„๊ฒฐ๊ณผ = 44 4.2 ์ง€๋ฐฉํ•ด์–‘์ˆ˜์‚ฐ์ฒญ์˜ ํšจ์œจ์„ฑ ๋น„๊ต๋ถ„์„ ๋ฐ ๊ฐœ์„ ๋ฐฉ์•ˆ = 56 ์ œ 5 ์žฅ ๊ฒฐ๋ก  = 61 5.1 ์š”์•ฝ ๋ฐ ์ œ์–ธ = 61 5.2 ํ–ฅํ›„ ์—ฐ๊ตฌ์˜ ๊ณผ์ œ = 62 ์ฐธ๊ณ  ๋ฌธํ—Œ = 6

    SIRT6 depletion suppresses tumor growth by promoting cellular senescence induced by DNA damage in HCC

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