183 research outputs found

    ๋Œ€ํ˜•๊ณต๊ณต๊ฑด์„ค์‚ฌ์—…์˜ ํšจ์œจ์  ์ถ”์ง„๋ฐฉ์•ˆ ์—ฐ๊ตฌ

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    ๋…ธํŠธ : ์ด ์—ฐ๊ตฌ๋ณด๊ณ ์„œ์˜ ๋‚ด์šฉ์€ ๊ตญํ† ์—ฐ๊ตฌ์›์˜ ์ž์ฒด ์—ฐ๊ตฌ๋ฌผ๋กœ์„œ ์ •๋ถ€์˜ ์ •์ฑ…์ด๋‚˜ ๊ฒฌํ•ด์™€๋Š” ์ƒ๊ด€์—†์Šต๋‹ˆ๋‹ค

    ๋ฏผ๊ฐ„ํˆฌ์ž์‚ฌ์—… ์—…๋ฌด์ˆ˜ํ–‰ ์ผ๋ฐ˜์ง€์นจ ์ˆ˜๋ฆฝ(Guidelines for private participation in infrastructure)

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    ๋…ธํŠธ : ์ด ์—ฐ๊ตฌ๋ณด๊ณ ์„œ์˜ ๋‚ด์šฉ์€ ๊ตญํ† ์—ฐ๊ตฌ์›์˜ ์ž์ฒด ์—ฐ๊ตฌ๋ฌผ๋กœ์„œ ์ •๋ถ€์˜ ์ •์ฑ…์ด๋‚˜ ๊ฒฌํ•ด์™€๋Š” ์ƒ๊ด€์—†์Šต๋‹ˆ๋‹ค

    ๊ตํ†ต์ˆ˜์š” ์˜ˆ์ธก์„ ์œ„ํ•œ ๊ธฐ์ค€ ๋ฐ ์ ˆ์ฐจ ์ง€์นจ ์—ฐ๊ตฌ(A study on the guideline to forecast travel demand)

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    ๋…ธํŠธ : ์ด ์—ฐ๊ตฌ๋ณด๊ณ ์„œ์˜ ๋‚ด์šฉ์€ ๊ตญํ† ์—ฐ๊ตฌ์›์˜ ์ž์ฒด ์—ฐ๊ตฌ๋ฌผ๋กœ์„œ ์ •๋ถ€์˜ ์ •์ฑ…์ด๋‚˜ ๊ฒฌํ•ด์™€๋Š” ์ƒ๊ด€์—†์Šต๋‹ˆ๋‹ค

    ์˜ˆ๋น„ํƒ€๋‹น์„ฑ ํ‰๊ฐ€ ๊ฒฐ๊ณผ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๊ด€ํ•œ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ํ–‰์ •๋Œ€ํ•™์› : ํ–‰์ •ํ•™๊ณผ, 2014. 8. ์ •๊ด‘ํ˜ธ.์˜ˆ๋น„ํƒ€๋‹น์„ฑ ์กฐ์‚ฌ๋Š” ๊ฒฝ์ œ์„ฑ๋ถ„์„๊ณผ ์ •์ฑ…์  ๋ถ„์„, ์ง€์—ญ๊ท ํ˜•๋ฐœ์ „ ๋ถ„์„์„ ๋ฐ”ํƒ•์œผ๋กœ ์ด๋“ค์„ ์ข…ํ•ฉ์ ์œผ๋กœ ํ‰๊ฐ€ํ•œ ๊ณ„์ธต์ ๋ถ„์„(AHP)์„ ํ†ตํ•ด ํƒ€๋‹น์„ฑ ์—ฌ๋ถ€๋ฅผ ์ตœ์ข… ๊ฒฐ์ •ํ•˜๊ฒŒ ๋œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์˜ˆ๋น„ํƒ€๋‹น์„ฑ ํ‰๊ฐ€ ๊ฒฐ๊ณผ์— ๋ฏธ์น˜๋Š” ํ•˜๋ถ€์š”์†Œ๋“ค ์ค‘ ๊ฒฝ์ œ์„ฑ๋ถ„์„๊ณผ ์ง€์—ญ๊ท ํ˜•๋ฐœ์ „๋ถ„์„์ด ์–ด๋Š ์ •๋„์˜ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”์ง€๋ฅผ ์‹ค์ฆ์ ์œผ๋กœ ๋ถ„์„ํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ์ด๋ฅผ ์œ„ํ•ด 2000๋…„๋ถ€ํ„ฐ 2013๋…„๊นŒ์ง€ ํ•œ๊ตญ๊ฐœ๋ฐœ์—ฐ๊ตฌ์›(KDI)์—์„œ ์ˆ˜ํ–‰ํ–ˆ๋˜ ์˜ˆ๋น„ํƒ€๋‹น์„ฑ ์กฐ์‚ฌ๋ณด๊ณ ์„œ๋ฅผ ์ž…์ˆ˜ํ•˜์—ฌ ๊ฒฝ์ œ์„ฑ๋ถ„์„(B/C์œจ)๊ณผ ์ง€์—ญ๊ท ํ˜•๋ฐœ์ „๋ถ„์„(์ง€์—ญ๋‚™ํ›„๋„์ง€์ˆ˜, ์ง€์—ญ๊ฒฝ์ œํ™œ์„ฑํ™” ํšจ๊ณผ์ง€์ˆ˜)์ด AHP ํ‰๊ฐ€์ ์ˆ˜์— ์–ด๋Š ์ •๋„ ์ธ๊ณผ๊ด€๊ณ„๋ฅผ ๊ฐ–๋Š”์ง€๋ฅผ SPSS๋ฅผ ํ†ตํ•ด ํ†ต๊ณ„๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ๋ถ„์„๊ฒฐ๊ณผ, ์ „์ฒด ๋ถ„์„๊ธฐ๊ฐ„(2000๏ฝž2013๋…„)์„ ๊ธฐ์ค€์œผ๋กœ ๊ฒฝ์ œ์„ฑ ๋ถ„์„(B/C์œจ)๊ณผ ์ง€์—ญ๊ท ํ˜•๋ฐœ์ „๋ถ„์„(์ง€์—ญ๋‚™ํ›„๋„์ง€์ˆ˜) ๊ฒฐ๊ณผ๊ฐ€ AHP ํ‰๊ฐ€์— ๋ฏธ์น˜๋Š” ํšŒ๊ท€๋ถ„์„ ๊ฐ’์€ ๊ฐ๊ฐ 0.746๊ณผ 0.184์œผ๋กœ ๋„์ถœ๋˜์—ˆ๋‹ค. ๋ณด๋‹ค ๊ตฌ์ฒด์ ์œผ๋กœ ์‚ดํŽด๋ณด๊ธฐ ์œ„ํ•ด ๋ถ„์„๊ธฐ๊ฐ„์„ 2000๏ฝž2005๋…„, 2006๏ฝž2011๋…„, 2012๏ฝž2013๋…„์œผ๋กœ ๊ตฌ๋ถ„ํ•˜์—ฌ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ, B/C์œจ์˜ ํ‘œ์ค€ํ™”๋œ ํšŒ๊ท€๊ณ„์ˆ˜๋Š” ๊ฐ๊ฐ 0.524, 0.794, 0.953์œผ๋กœ ๋ถ„์„๋˜์—ˆ์œผ๋ฉฐ, ์ง€์—ญ๋‚™ํ›„๋„ ์ง€์ˆ˜์˜ ๊ฒฝ์šฐ, 2005๋…„ ์ด์ „์—๋Š” ์œ ์˜๋ฏธํ•œ ์ธ๊ณผ๊ด€๊ณ„๊ฐ€ ๋‚˜ํƒ€๋‚˜์ง€ ์•Š์•˜์œผ๋‚˜, 2006๏ฝž2011๋…„๊ณผ 2012๏ฝž2013๋…„์˜ ๊ฒฝ์šฐ, ํ‘œ์ค€ํ™”๋œ ํšŒ๊ท€๋ถ„์„ ๊ฐ’์ด ๊ฐ๊ฐ 0.204, 0.347๋กœ ์ฆ๊ฐ€๋˜๋Š” ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด 2005๋…„ ์ด์ „์—๋Š” ์ง€์—ญ๊ท ํ˜•๋ฐœ์ „ ๋ถ„์„์ด ์˜ˆ๋น„ํƒ€๋‹น์„ฑ ํ‰๊ฐ€ ๊ฒฐ๊ณผ์— ์œ ์˜๋ฏธํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น˜์ง€ ๋ชปํ•˜์˜€์œผ๋‚˜, 2006๋…„ ์ดํ›„๋ถ€ํ„ฐ ์–ด๋Š ์ •๋„ ์˜ํ–ฅ์„ ์ฃผ๊ณ  ์žˆ์Œ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๊ฒฐ๋ก ์ ์œผ๋กœ ์˜ˆ๋น„ํƒ€๋‹น์„ฑ ํ‰๊ฐ€ ๊ฒฐ๊ณผ ๊ฒฝ์ œ์„ฑ ๋ถ„์„์˜ ์˜ํ–ฅ๋ ฅ์ด ์ง€์นจ์ƒ์˜ ๊ฐ€์ค‘์น˜๋ณด๋‹ค ํ›จ์”ฌ ๋†’์€ ๋น„์ค‘์„ ์ฐจ์ง€ํ•˜๊ณ  ์žˆ์—ˆ์œผ๋ฉฐ, ์ง€์—ญ๊ท ํ˜•๋ฐœ์ „ ๋ถ„์„์˜ ๊ฒฝ์šฐ์—๋Š” 2006๋…„ ์ดํ›„๋ถ€ํ„ฐ ์˜ˆ๋น„ํƒ€๋‹น์„ฑ ํ‰๊ฐ€ ๊ฒฐ๊ณผ์— ์˜ํ–ฅ์„ ์ฃผ๊ณ ๋Š” ์žˆ์œผ๋‚˜, ์ง€์นจ์ƒ์˜ ๊ฐ€์ค‘์น˜๋ณด๋‹ค ๋‚ฎ์€ ์˜ํ–ฅ๋ ฅ์„ ๊ฐ–๊ณ  ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค. ์ด์ƒ์˜ ๋ถ„์„์„ ๋ฐ”ํƒ•์œผ๋กœ ํ˜„ํ–‰ ์˜ˆ๋น„ํƒ€๋‹น์„ฑ ์กฐ์‚ฌ์ œ๋„์˜ ๋ฌธ์ œ์ ๊ณผ ๊ฐœ์„ ๋ฐฉํ–ฅ์€ ์ฒซ์งธ, ํ˜„์žฌ ์˜ˆ๋น„ํƒ€๋‹น์„ฑ ์กฐ์‚ฌ์—์„œ ๊ฒฝ์ œ์„ฑ ๋ถ„์„์ด ์—ฌํƒ€ ๋ถ„์„๋ณด๋‹ค ์›”๋“ฑํžˆ ๋†’์€ ๋น„์ค‘์„ ์ฐจ์ง€ํ•˜๊ณ  ์žˆ์œผ๋ฏ€๋กœ, ์ด๋“ค ๊ฐ„์˜ ๊ฐ€์ค‘์น˜๋ฅผ ์žฌ์‚ฐ์ •ํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ๋‘˜์งธ, ์ง€์—ญ๊ท ํ˜•๋ฐœ์ „ ๋ถ„์„์ง€ํ‘œ๋ฅผ ๊ฐœ์„ ํ•  ํ•„์š”๊ฐ€ ์žˆ์œผ๋ฉฐ, ํŠนํžˆ ์ง€์—ญ๊ฒฝ์ œํ™œ์„ฑํ™” ํšจ๊ณผ์ง€์ˆ˜๊ฐ€ ์˜๋ฏธ๋ฅผ ๊ฐ€์งˆ ์ˆ˜ ์žˆ๋„๋ก ํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ์…‹์งธ, ์ •์ฑ…์  ๋ถ„์„์ด ์‹ค์งˆ์ ์œผ๋กœ AHP ํ‰๊ฐ€์— ๋ฐ˜์˜๋˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ๋ณด๋‹ค ๊ณ„๋Ÿ‰ํ™”๋œ ์ง€ํ‘œ์˜ ๊ฐœ๋ฐœ๊ณผ ์ง€ํ‘œ๋“ค ๊ฐ„์— ๋ณ€๋ณ„๋ ฅ์„ ๊ฐ€์งˆ ์ˆ˜ ์žˆ๋„๋ก ๊ณ ๋„ํ™”ํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค.์ œ1์žฅ ์„œ๋ก  1 ์ œ1์ ˆ ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  1 ์ œ2์ ˆ ์—ฐ๊ตฌ์˜ ๋Œ€์ƒ๊ณผ ๋ฒ”์œ„ 4 ์ œ2์žฅ ์ด๋ก ์  ๋…ผ์˜์™€ ์„ ํ–‰์—ฐ๊ตฌ ๊ฒ€ํ†  7 ์ œ1์ ˆ ์ด๋ก ์  ๋…ผ์˜ 7 1. ์ •์ฑ…๋ถ„์„์˜ ์ด๋ก ์  ๊ณ ์ฐฐ 7 2. ์šฐ๋ฆฌ๋‚˜๋ผ์˜ ์˜ˆ๋น„ํƒ€๋‹น์„ฑ์ œ๋„ 16 3. ์™ธ๊ตญ์˜ ํƒ€๋‹น์„ฑ ๊ด€๋ จ ์ œ๋„ 24 ์ œ2์ ˆ ์„ ํ–‰์—ฐ๊ตฌ์˜ ๊ฒ€ํ†  30 1. ์˜ˆ๋น„ํƒ€๋‹น์„ฑ ์กฐ์‚ฌ ๊ด€๋ จ ์„ ํ–‰์—ฐ๊ตฌ 30 2. ๊ณ„์ธต์  ๋ถ„์„(AHP) ๊ด€๋ จ ์„ ํ–‰์—ฐ๊ตฌ 31 ์ œ3์žฅ ์—ฐ๊ตฌ์„ค๊ณ„ 36 ์ œ1์ ˆ ์—ฐ๊ตฌ๋ชจํ˜• ๋ฐ ๊ฐ€์„ค์˜ ์„ค์ • 36 1. ์—ฐ๊ตฌ๋ชจํ˜•์˜ ์„ค์ • 36 1) ์ข…์†๋ณ€์ธ: AHP ์ ์ˆ˜ 37 2) ๋…๋ฆฝ๋ณ€์ธ: ๋น„์šฉํŽธ์ต๋น„์œจ, ์ง€์—ญ๋‚™ํ›„๋„์ง€์ˆ˜, ์ง€์—ญ๊ฒฝ์ œํ™œ์„ฑํ™”ํšจ๊ณผ์ง€์ˆ˜ 37 2. ์—ฐ๊ตฌ๊ฐ€์„ค 39 ์ œ2์ ˆ ์กฐ์‚ฌ๋„๊ตฌ์˜ ์„ค๊ณ„ 41 1. ๋ณ€์ˆ˜์˜ ์ธก์ • 41 2. ์ž๋ฃŒ์ˆ˜์ง‘ ๋ฐ ๋ถ„์„๋ฐฉ๋ฒ• 44 ์ œ4์žฅ ๋ถ„์„๊ฒฐ๊ณผ 45 ์ œ1์ ˆ ์˜ˆ๋น„ํƒ€๋‹น์„ฑ ์กฐ์‚ฌ ๋ถ„์„ ๊ฒฐ๊ณผ๊ฐ’์— ๋Œ€ํ•œ ๊ฐœ์š” 45 1. ๊ธฐ์ˆ ํ†ต๊ณ„ ๋ถ„์„ 45 2. ๋นˆ๋„๋ถ„์„ 48 ์ œ2์ ˆ ๊ฒฝ์ œ์„ฑ ๋ถ„์„ ๋ฐ ์ง€์—ญ๊ท ํ˜•๋ฐœ์ „ ๋ถ„์„์ด AHP์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ ๋ถ„์„ 53 1. ์ „์ฒด ๋ถ„์„๊ธฐ๊ฐ„(2000๏ฝž2013๋…„) ๊ธฐ์ค€ 53 2. 2000๏ฝž2005๋…„๊ฐ„ ์˜ˆ๋น„ํƒ€๋‹น์„ฑ์กฐ์‚ฌ ๊ธฐ์ค€ 56 3. 2006๏ฝž2011๋…„๊ฐ„ ์˜ˆ๋น„ํƒ€๋‹น์„ฑ์กฐ์‚ฌ ๊ธฐ์ค€ 59 4. 2012๏ฝž2013๋…„๊ฐ„ ์˜ˆ๋น„ํƒ€๋‹น์„ฑ์กฐ์‚ฌ ๊ธฐ์ค€ 62 ์ œ3์ ˆ ๊ฒฝ์ œ์„ฑ ๋ถ„์„, ์ง€์—ญ๊ท ํ˜•๋ฐœ์ „ ๋ถ„์„ ๊ทธ๋ฆฌ๊ณ  AHP์˜ ์—ฐ๊ด€์„ฑ 65 ์ œ5์žฅ ์˜ˆ๋น„ํƒ€๋‹น์„ฑ ์กฐ์‚ฌ ์ œ๋„์˜ ๊ฐœ์„ ๋ฐฉํ–ฅ 68 ์ œ1์ ˆ ํ˜„ํ–‰ ์˜ˆ๋น„ํƒ€๋‹น์„ฑ ์กฐ์‚ฌ ๊ณผ์ •์— ๋Œ€ํ•œ ๊ณ ์ฐฐ 68 1. ๊ฒฝ์ œ์„ฑ ๋ถ„์„ 68 2. ์ •์ฑ…์  ๋ถ„์„ 68 3. ์ง€์—ญ๊ท ํ˜•๋ฐœ์ „ ๋ถ„์„ 70 4. AHP ๋ถ„์„ 72 ์ œ2์ ˆ ํ˜„ํ–‰ AHP ํ‰๊ฐ€๋ชจํ˜•์˜ ๋ฌธ์ œ์  74 1. ๊ฒฝ์ œ์„ฑ ๋ถ„์„์˜ ๊ณผ๋Œ€ ์˜ํ–ฅ๋ ฅ 74 2. ์ง€์—ญ๊ฒฝ์ œ๋ฐœ์ „ ๋ถ„์„์˜ ๊ณผ์†Œ ์˜ํ–ฅ๋ ฅ 75 3. ์ •์ฑ…์  ๋ถ„์„์˜ ๋ชจํ˜ธํ•œ ์˜ํ–ฅ๋ ฅ 77 ์ œ2์ ˆ ์ œ๋„๊ฐœ์„  ๋ฐฉํ–ฅ 79 1. AHP ์„ค๊ณ„ ๋ชจํ˜•์˜ ์žฌ๊ฒ€ํ†  79 2. ์ง€์—ญ๊ท ํ˜•๋ฐœ์ „ ๋ถ„์„ ์ง€ํ‘œ์˜ ์žฌ์„ค๊ณ„ 80 3. ์ •์ฑ…์  ๋ถ„์„ ์ง€ํ‘œ์˜ ๊ณ„๋Ÿ‰ํ™” 81 ์ œ6์žฅ ๊ฒฐ๋ก  83 ์ œ1์ ˆ ์—ฐ๊ตฌ๊ฒฐ๊ณผ ์š”์•ฝ ๋ฐ ์ •์ฑ…์  ํ•จ์˜ 83 1. ์—ฐ๊ตฌ๊ฒฐ๊ณผ 83 2. ์ •์ฑ…์  ์‹œ์‚ฌ์  84 ์ œ2์ ˆ ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„ ๋ฐ ํ–ฅํ›„ ๊ณผ์ œ 86 ์ฐธ๊ณ ๋ฌธํ—Œ 88Maste

    ๊ฒฝ์ œ์„ฑ๋ถ„์„(๋น„์šฉ์‚ฐ์ •)๊ณผ AHP๊ฐ€์ค‘์น˜ ๋ณ€ํ™”๋ฅผ ์ค‘์‹ฌ์œผ๋กœ

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    ๊ตญ๊ฐ€ ์žฌ์ •์‚ฌ์—…์˜ ์‹œํ–‰์—ฌ๋ถ€๋ฅผ ๊ฒฐ์ •ํ•˜๊ธฐ ์œ„ํ•œ ์˜ˆ๋น„ํƒ€๋‹น์„ฑ์กฐ์‚ฌ๋Š” ์‚ฌ์—… ์‹œํ–‰์œผ๋กœ ์ธํ•œ ๊ฒฝ์ œ์  ํšจ๊ณผ๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ํ•œ ๊ฒฝ์ œ์„ฑ๋ถ„์„๊ณผ ๊ตญ๊ฐ€ ๊ท ํ˜•๋ฐœ์ „์„ ๊ณ ๋ คํ•œ ์ง€์—ญ๊ท ํ˜•๋ฐœ์ „๋ถ„์„ ๋ฐ ์ •์ฑ…์  ๋ถ„์„์„ ์ข…ํ•ฉ์ ์œผ๋กœ ๊ณ ๋ คํ•œ ๊ณ„์ธต์ ๋ถ„์„๋ฐฉ๋ฒ•(AHP)๋ฅผ ํ†ตํ•ด ์‚ฌ์—…์˜ ํƒ€๋‹น์„ฑ์„ ์—ฌ๋ถ€๋ฅผ ๊ฒฐ์ •ํ•˜๊ฒŒ ๋œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ฒซ ๋ฒˆ์งธ, 2019๋…„ ๊ฐœ์ •๋œ AHP ๊ฐ€์ค‘์น˜์˜ ๋ณ€ํ™” ์˜ํ–ฅ์„ ๋ถ„์„ํ•˜์—ฌ ์ˆ˜๋„๊ถŒ๊ณผ ๋น„์ˆ˜๋„๊ถŒ์˜ ๊ฐ€์ค‘์น˜ ๋ณ€ํ™”๋กœ ์ธํ•œ AHP์ข…ํ•ฉ์ ์ˆ˜๋ฅผ ์žฌ์‚ฐ์ •ํ•˜์—ฌ ๊ฐ€์ค‘์น˜ ๋ณ€๊ฒฝ์ „๊ณผ ํ›„๋ฅผ ๋น„๊ต ๋ถ„์„ํ•˜์˜€๋‹ค. ๊ฒฝ์ œ์„ฑ ๊ฐ€์ค‘์น˜๊ณผ ์ •์ฑ…์„ฑ ๊ฐ€์ค‘์น˜ ๋น„์œจ์€ 45:55์—์„œ 35:65์— ๋ณ€๊ฒฝํ•˜์—ฌ ์žฌ ์‚ฐ์ •ํ•œ ๊ฒฐ๊ณผ ์ˆ˜๋„๊ถŒ์—๋Š” ๊ฐœ์ • ํ›„ ํ†ต๊ณผํ•˜๋Š” ์‚ฌ์—…์ด 4๊ฐœ ๋Š˜์–ด๋‚˜๊ณ  ๋น„์ˆ˜๋„๊ถŒ์—๋Š” 6๊ฐœ ์‚ฌ์—…์ด ์ฆ๊ฐ€ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋‘ ๋ฒˆ์งธ AHP ์ข…ํ•ฉ์ ์ˆ˜์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ์— ๊ด€ํ•œ ๋ถ„์„์„ ์œ„ํ•ด ์˜ˆ๋น„ ํƒ€๋‹น์„ฑ ๋ณด๊ณ ์„œ์˜ ํ˜„๊ธˆํ๋ฆ„ํ‘œ์™€ B/C Ratio, ์ง€์—ญ๊ท ํ˜• ์‚ฌ์ „๊ฐ€์ค‘์น˜, ์‚ฌ์—…๊ธฐ๊ฐ„, ์‚ฌ์—…๋ถ€๋ฌธ, ์ด๊ณต์‚ฌ๋น„, ์‚ฌ์—…๋น„, ์‚ฌ์—…๊ธฐ๊ฐ„, ๊ณต์‚ฌ๊ธฐ๊ฐ„, ์ง€์—ญ(์ˆ˜๋„๊ถŒ, ๋น„์ˆ˜๋„๊ถŒ) ๋“ฑ์˜ ๋ณ€์ˆ˜๋“ค๊ณผ AHP์ข…ํ•ฉ์ ์ˆ˜์™€์˜ ๊ด€๊ณ„๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค. ํšŒ๊ท€ ๋ถ„์„๊ฒฐ๊ณผ AHP์ข…ํ•ฉ์ ์ˆ˜์— ๊ฐ€์žฅ ํฐ ์˜ํ–ฅ์„ ์ฃผ๋Š” ๋ณ€์ˆ˜๋Š” B/C ๊ฐ’์ด๋ฉฐ, ์ถ”์ •๊ณ„์ˆ˜๋Š” ๋น„์ˆ˜๋„๊ถŒ ์ถ”์ •์น˜๊ฐ€ 0.16์œผ๋กœ ์ˆ˜๋„๊ถŒ 0.099๋ณด๋‹ค ์˜ํ–ฅ์ด ํฐ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. 2004โˆผ2011๋…„ ๊ธฐ๊ฐ„๋™์•ˆ์—๋Š” ์ •์ฑ…ยท์ง€์—ญ๊ฐ€์ค‘์น˜๋Š” ์ „๊ตญ๊ณผ ๋น„์ˆ˜๋„๊ถŒ์—์„œ๋Š” ์œ ์˜์„ฑ์ด ์—†์œผ๋‚˜, ์ˆ˜๋„๊ถŒ์—์„œ๋Š” ์ •์ฑ…ยท์ง€์—ญ๊ฐ€์ค‘์น˜์˜ ์˜ํ–ฅ์ด (-)๋กœ ์œ ์˜ํ•œ ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค. 2012โˆผ2020๋…„์„ ๋Œ€์ƒ์œผ๋กœ ํ•œ ๋ถ„์„์—์„œ๋Š” B/C ์ถ”์ •๊ณ„์ˆ˜๋Š” ์ „๊ตญ๊ธฐ์ค€์œผ๋กœ๋Š” 0.12, ๋น„์ˆ˜๋„๊ถŒ 0.15, ์ˆ˜๋„๊ถŒ 0.08๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ์ •์ฑ…๊ฐ€์ค‘์น˜์™€ ์ง€์—ญ๊ฐ€์ค‘์น˜๋„ ๋น„์ˆ˜๋„๊ถŒ์—๋Š” (+)์š”์ธ์ด๋‚˜, ์ˆ˜๋„๊ถŒ์—๋Š” (-)์˜ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. AHP์ข…ํ•ฉ์ ์ˆ˜์— ์ž์—ฐ๋กœ๊ทธ๋ฅผ ์ ์šฉํ•œ ์ถ”์ •๊ฒฐ๊ณผ์—์„œ๋„ B/C Ratio์˜ ์ถ”์ •๊ณ„์ˆ˜ ๊ฐ’์œผ๋กœ ํŒ๋‹จํ•ด ๋ณด๋ฉด ๋น„์ˆ˜๋„๊ถŒ ์ถ”์ •์น˜๊ฐ€ 0.319์œผ๋กœ ์ˆ˜๋„๊ถŒ 0.208๋ณด๋‹ค ์˜ํ–ฅ์ด ํฐ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ์ง€์—ญ๊ฐ€์ค‘์น˜๋Š” ์ˆ˜๋„๊ถŒ์ง€์—ญ์—์„œ 10% ์ˆ˜์ค€์—์„œ ์œ ์˜ํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์‚ฌ์—… ๋ฏธ์‹œํ–‰ ๋Œ€๋น„ ์‹œํ–‰์ ์ˆ˜ ๋น„์œจ์„ ์ข…์†๋ณ€์ˆ˜๋กœ ํ•œ ๋ถ„์„์—์„œ๋Š” B/C๊ฐ€ 10% ์ฆ๊ฐ€ํ•˜๋ฉด ๋ฏธ์‹œํ–‰ ๋Œ€๋น„ ์‚ฌ์—…์‹œํ–‰๋น„์œจ์€ ํ‰๊ท ์ ์œผ๋กœ ์•ฝ 12.5% ์ƒ์Šน์‹œํ‚ค๋ฉฐ ์ฆ๊ฐ€ํญ์€ ๋น„์ˆ˜๋„๊ถŒ์ด 13.1%๋กœ ์ˆ˜๋„๊ถŒ 10.3%๋ณด๋‹ค ํฐ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. 2004-2011๋…„ ๋ถ„์„๊ฒฐ๊ณผ์™€ 2012-2020๋…„ ๊ธฐ๊ฐ„์„ ๊ตฌ๋ถ„ํ•œ ๊ฒฐ๊ณผ๋ฅผ ๋น„๊ตํ•ด ๋ณด๋ฉด ์ •์ฑ…๊ฐ€์ค‘์น˜์™€ ์ง€์—ญ๊ท ํ˜•๊ฐ€์ค‘์น˜๊ฐ€ AHP์ข…ํ•ฉ์ ์ˆ˜์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์ด ๊ฐ์†Œํ•˜๊ณ  ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋กœ์ง“ ๋ชจํ˜•๋ถ„์„๊ฒฐ๊ณผ B/C ํ‘œ์ค€ํ™”๊ณ„์ˆ˜ ๊ฐ’์€ ์ „๊ตญ ๊ธฐ์ค€ ํ‘œ์ค€๊ณ„์ˆ˜๋Š” 4.004, ๋น„์ˆ˜๋„๊ถŒ์€ 4.1454, ์ˆ˜๋„๊ถŒ์€ 3.9285์ด๋ฉฐ, ์ •์ฑ…๊ฐ€์ค‘์น˜์™€ ์ง€์—ญ๊ท ํ˜•๊ฐ€์ค‘์น˜๋Š” AHP์ข…ํ•ฉ์ ์ˆ˜์— (-)์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค. ์„ธ ๋ฒˆ์งธ ๊ฒฝ์ œ์„ฑ๋ถ„์„์— ์ ์šฉํ•˜๊ณ  ์žˆ๋Š” ํˆฌ์ž๋น„์šฉ ๋ฐฉ์‹์„ ์žฌ์‚ฐ์ •ํ•˜์—ฌ ์ด์ „์ ์ง€์ถœ์„ ๊ณ ๋ คํ•˜์—ฌ ์žฌ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ ๊ธฐ์กด์˜ B/C ๋ณด๋‹ค ํ‰๊ท ์ ์œผ๋กœ 15.52% ์ฆ๊ฐ€ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค. ์ด์ƒ์˜ ๋ถ„์„์„ ๊ธฐ์ดˆ๋กœ ํ˜„์žฌ ์‹œํ–‰๋˜๊ณ  ์žˆ๋Š” ์˜ˆํƒ€์ œ๋„์—์„œ์˜ ๊ฐœ์„ ๋ฐฉํ–ฅ์€ ๋ถ€๋‹ด๊ธˆ๊ด€๋ฆฌ ๊ธฐ๋ณธ๋ฒ•์— ๋”ฐ๋ฅธ ๋ถ€๋‹ด๊ธˆ๊ณผ ์‚ฌํšŒ ๋ณดํ—˜๋ฃŒ๋Š” ํˆฌ์ž๋น„์šฉ์—์„œ ์ œ์™ธํ•˜๊ฑฐ๋‚˜ ์กฐ์„ธ์žฌ์ •์— ๊ด€ํ•œ ๋ฐฉ๋Œ€ํ•œ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๊ตญ์ฑ…์‚ฌ์—…์— ์†Œ์š”๋˜๋Š” ์ด์ „์ ์ง€์ถœ์— ํ•ด๋‹นํ•˜๋Š” ํ•ญ๋ชฉ์„ ์žฌ์‚ฐ์ •ํ•˜๋Š” ๋ฐฉ์‹์„ ๋„์ž…ํ•˜๋Š” ๊ฒƒ์ด ํ•„์š”ํ•˜๋‹ค๊ณ  ๋ณธ๋‹ค. ํ–ฅํ›„ ํ˜„์žฌ ๊ณต๊ณตํˆฌ์ž๊ด€๋ฆฌ์„ผํ„ฐ์—์„œ ์ œ๊ณตํ•˜๊ณ  ์žˆ๋Š” ์˜ˆ๋น„ํƒ€๋‹น์„ฑ๋ณด๊ณ ์„œ๋ฅผ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šคํ™”ํ•˜์—ฌ ํˆฌ์ž๋น„, ํ˜„๊ธˆํ๋ฆ„ํ‘œ, ๋ถ„์„๊ฒฐ๊ณผ์— ๋Œ€ํ•œ ์ •๋ณด๋ฅผ ๊ณต๊ฐœํ•˜์—ฌ ์ด๋ฅผ ๊ธฐ์ดˆ๋กœ ๋ณด๋‹ค ํญ๋„“๊ณ  ๋‹ค์–‘ํ•œ ์—ฐ๊ตฌ๊ฐ€ ์ง„ํ–‰๋  ์ˆ˜ ์žˆ๋„๋ก ์„ธ๋ถ€์ •๋ณด์˜ ๊ณต๊ฐœ๊ฐ€ ํ•„์š”ํ•˜๋‹ค๊ณ  ์ƒ๊ฐํ•œ๋‹ค.A Study on the factor affecting the evaluation of Preliminary Feasibility projects Yeo, Sun-Deok Graduate School of Public Administration Seoul National University A preliminary feasibility study to determine whether a national financial project is implemented will determine the feasibility of the project through a hierarchical analysis method (AHP) that comprehensively considers regional balanced development and policy analysis. In this study, first, the impact of changes in AHP weights as revised in 2019 was analyzed, and the AHP comprehensive scores due to changes in weights in metropolitan and non-metropolitan areas were overridden to compare before and after weight changes. The ratio of economic weighting to policy weighting was recalculated from 45:55 to 35:65 and the number of projects passed after revision increased by four in the metropolitan area and six in the non-metropolitan area. For the analysis of the factors affecting the second AHP comprehensive score, the relationship between the AHP comprehensive score and variables such as B/C Ratio, balanced regional pre-weight, business period, business sector, total construction cost, business period, and region (metropolitan area, non-metropolitan area) was analyzed. The regression results show that the most influential variable for AHP comprehensive score is the B/C value, and the estimation coefficient is 0.16 in the non-metropolitan area, which is more influential than 0.099 in the metropolitan area. During the 2004-2011 period, policy and regional weights were not significant across the country and non-metropolitan areas, but the impact of policy and regional weights was significant (-) in the Seoul metropolitan area. According to the 2012-2020 analysis, the B/C estimation coefficient was 0.12 in national standards, 0.15 in non-metropolitan areas, 0.08 in the metropolitan area, and (+) in policy and regional weighting areas.In the metropolitan area, however, it has been shown to have negative effects.์ œ1์žฅ. ์„œ๋ก  1 ์ œ1์ ˆ. ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  1 ์ œ2์ ˆ. ์—ฐ๊ตฌ์˜ ๋Œ€์ƒ ๋ฐ ๋ฒ”์œ„ 4 ์ œ2์žฅ. ์ด๋ก ์  ๋…ผ์˜์™€ ์„ ํ–‰์—ฐ๊ตฌ ๊ฒ€ํ†  5 ์ œ1์ ˆ. ์ด๋ก ์  ๋…ผ์˜ 5 1. ์ •์ฑ…๋ถ„์„์˜ ๊ฐœ๋… 5 2. ์˜ˆ๋น„ํƒ€๋‹น์„ฑ์กฐ์‚ฌ์˜ ๋ฒ•์  ๊ทผ๊ฑฐ 6 3. ์ฃผ์š” ์ถ”์ง„ ๊ฒฝ์œ„ 6 4. ์˜ˆ๋น„ํƒ€๋‹น์„ฑ ์กฐ์‚ฌ ์ˆ˜ํ–‰ ์‹ค์  ๋ฐ ๊ฒฝ์ œ์  ํƒ€๋‹น์„ฑ ํ™•๋ณด์œจ 8 5. ๊ฒฝ์ œ์„ฑ๋ถ„์„(๋น„์šฉ์‚ฐ์ •)์— ๊ด€ํ•œ ์ด๋ก  13 6. ์šฐ๋ฆฌ๋‚˜๋ผ ํˆฌ์ž๋น„์šฉ ์ ์šฉ๊ธฐ์ค€์˜ ๋ณ€ํ™” 15 ์ œ2์ ˆ. ์„ ํ–‰์—ฐ๊ตฌ ๊ฒ€ํ†  22 ์ œ3์žฅ. ์—ฐ๊ตฌ์„ค๊ณ„ 28 ์ œ1์ ˆ. ์—ฐ๊ตฌ๋ชจํ˜• ๋ฐ ๊ฐ€์„ค์˜ ์„ค์ • 28 1. ์—ฐ๊ตฌ๋ชจํ˜•์˜ ์„ค์ • 28 2. ์—ฐ๊ตฌ๊ฐ€์„ค 35 ์ œ2์ ˆ. ์กฐ์‚ฌ๋„๊ตฌ์˜ ์„ค๊ณ„ 36 1. ๋ณ€์ˆ˜์˜ ์ธก์ • 36 2. ๋ถ„์„๋ฐฉ๋ฒ• 37 ์ œ4์žฅ. ๋ถ„์„๊ฒฐ๊ณผ 38 ์ œ1์ ˆ ์˜ˆ๋น„ํƒ€๋‹น์„ฑ ์กฐ์‚ฌ๊ฒฐ๊ณผ ๋ถ„์„ 38 1. ๊ธฐ์ดˆ์ž๋ฃŒ๋ถ„์„ 38 2. ๋นˆ๋„๋ถ„์„ 42 3. ์‚ฐ์ ๋„ ๋ถ„์„ 43 ์ œ2์ ˆ AHP ์ข…ํ•ฉ์ ์ˆ˜ ์˜ํ–ฅ ๋ถ„์„ 45 1. ์ˆ˜๋„๊ถŒ๊ณผ ๋น„์ˆ˜๋„๊ถŒ AHP์ข…ํ•ฉ์ ์ˆ˜ 45 2. ํ‰๊ฐ€๊ฐ€์ค‘์น˜ ๋ณ€๊ฒฝ์˜ ์˜ํ–ฅ ๋ถ„์„ 46 ์ œ3์ ˆ AHP ์ข…ํ•ฉ์ ์ˆ˜ ์š”์ธ ๋ถ„์„ 49 1. ๋‹ค์ค‘๊ณต์„ ์„ฑ ๊ฒ€ํ†  49 2. ๋‹ค์ค‘ํšŒ๊ท€ ๋ถ„์„๊ฒฐ๊ณผ 49 3. ๋‹ค์ค‘ํšŒ๊ท€ ๋ถ„์„๊ฒฐ๊ณผ(์ž์—ฐ๋กœ๊ทธ ์ ์šฉ์‹œ) 54 4. ์‚ฌ์—… ๋ฏธ์‹œํ–‰ ๋Œ€๋น„ ์‹œํ–‰์ ์ˆ˜ ๋น„์œจ ๋ถ„์„๊ฒฐ๊ณผ(์ž์—ฐ๋กœ๊ทธ ์ ์šฉ์‹œ) 58 5. ๋กœ์ง“ ๋ชจํ˜• ๋ถ„์„๊ฒฐ๊ณผ 61 ์ œ4์ ˆ ํˆฌ์ž๋น„์šฉ ์‚ฐ์ • ์˜ํ–ฅ ๋ถ„์„ 64 1. ๋น„์šฉ ์žฌ์‚ฐ์ • ๋ฐฉ์‹ 64 2. ๋น„์šฉ ์žฌ์‚ฐ์ • ์ ์šฉ์‹œ ๊ฒฝ์ œ์„ฑ ๊ฒฐ๊ณผ๋ถ„์„ 65 ์ œ5์žฅ. ์˜ˆ๋น„ํƒ€๋‹น์„ฑ ์ œ๋„ ๊ฐœ์„  ๋ฐฉํ–ฅ 66 ์ œ1์ ˆ ํˆฌ์ž๋น„์šฉ ์‚ฐ์ • ๊ด€๋ จ ๊ตญ๋‚ด ๊ทœ์ • ๋ฐ ์ง€์นจ ๋“ฑ 66 ์ œ2์ ˆ ์ œ๋„๊ฐœ์„  ๋ฐฉํ–ฅ 66 ์ œ6์žฅ ๊ฒฐ๋ก  69 ์ œ1์ ˆ ์—ฐ๊ตฌ๊ฒฐ๊ณผ ์š”์•ฝ ๋ฐ ์ •์ฑ…์  ํ•จ์˜ 69 1. ์—ฐ๊ตฌ๊ฒฐ๊ณผ 69 2. ์ •์ฑ…์  ์‹œ์‚ฌ์  71 ์ œ2์ ˆ ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„ ๋ฐ ํ–ฅํ›„ ๊ณผ์ œ 72 ์ฐธ ๊ณ  ๋ฌธ ํ—Œ 74์„

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    ๋…ธํŠธ : ์ด ์—ฐ๊ตฌ๋ณด๊ณ ์„œ์˜ ๋‚ด์šฉ์€ ๊ตญํ† ์—ฐ๊ตฌ์›์˜ ์ž์ฒด ์—ฐ๊ตฌ๋ฌผ๋กœ์„œ ์ •๋ถ€์˜ ์ •์ฑ…์ด๋‚˜ ๊ฒฌํ•ด์™€๋Š” ์ƒ๊ด€์—†์Šต๋‹ˆ๋‹ค

    ์˜ˆ๋น„ํƒ€๋‹น์„ฑ์กฐ์‚ฌ ์ œ๋„ ๊ฐœํŽธ์— ๋”ฐ๋ฅธ ํšจ๊ณผ ๋ถ„์„

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ํ–‰์ •๋Œ€ํ•™์› ๊ณต๊ธฐ์—…์ •์ฑ…ํ•™๊ณผ, 2020. 8. ๊ตฌ๋ฏผ๊ต.๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ์˜ˆ๋น„ํƒ€๋‹น์„ฑ์กฐ์‚ฌ ์ œ๋„ ๊ฐœํŽธ๋ฐฉ์•ˆ(๊ธฐํš์žฌ์ •๋ถ€ ๋“ฑ, 2019. 4.) ์ค‘ ์ˆ˜๋„๊ถŒ/๋น„์ˆ˜๋„๊ถŒ ํ‰๊ฐ€ํ•ญ๋ชฉ ๋น„์ค‘ ์ด์›ํ™”์˜ ํšจ๊ณผ๋ฅผ ๋ถ„์„ํ•˜์—ฌ ์ •์ฑ…์ง‘ํ–‰์˜ ํšจ์šฉ์„ฑ์„ ๋ฏธ๋ฆฌ ์˜ˆ์ธกํ•˜๊ณ , ์•ž์œผ๋กœ์˜ ์‹œํ–‰ ๊ณผ์ •์—์„œ ๋ณด์™„ํ•ด์•ผ ํ•  ์‚ฌํ•ญ๋“ค์— ๋Œ€ํ•˜์—ฌ ๊ฒ€ํ† ํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ์˜ˆ๋น„ํƒ€๋‹น์„ฑ์กฐ์‚ฌ ์ œ๋„ ๋„์ž… ์ดํ›„ 20๋…„์ด ๊ฒฝ๊ณผํ•˜๋ฉด์„œ ๊ทธ๊ฐ„์˜ ๋ณ€ํ™”๋œ ๊ฒฝ์ œโ€ค์‚ฌํšŒ์  ์—ฌ๊ฑด์„ ์ œ๋„์— ๋ฐ˜์˜ํ•ด์•ผ ํ•  ํ•„์š”์„ฑ์ด ์ œ๊ธฐ๋จ์— ๋”ฐ๋ผ ์ •๋ถ€๋Š” ๊ตญ๊ฐ€๊ท ํ˜•๋ฐœ์ „๊ณผ ๋‹ค์–‘ํ•œ ์‚ฌํšŒ์  ๊ฐ€์น˜์— ๋Œ€ํ•œ ์‹คํ˜„ ์š”๊ตฌ๊ฐ€ ์ฆ๋Œ€ํ•˜๊ณ  ์žˆ๋‹ค๊ณ  ํŒ๋‹จํ•˜๊ณ  ์žˆ๋‹ค. ์ด์— ์ •๋ถ€๋Š” ์ข…ํ•ฉํ‰๊ฐ€ ๋น„์ค‘์„ ๊ฐœํŽธํ•˜์—ฌ ์ˆ˜๋„๊ถŒ/๋น„์ˆ˜๋„๊ถŒ์˜ ํ‰๊ฐ€๋ฅผ ์ด์›ํ™”ํ•˜๊ณ  ์ด๋ฅผ ํ†ตํ•˜์—ฌ ์ง€๋ฐฉ์˜ ๋‚™ํ›„์ง€์—ญ์„ ๋ฐฐ๋ คํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ •๋ถ€์—์„œ ์–˜๊ธฐํ•˜๋Š” ๋น„์ˆ˜๋„๊ถŒ์ด ๊ผญ ๋‚™ํ›„์ง€์—ญ์€ ์•„๋‹ ๊ฒƒ์ด๋ผ๋Š” ์˜๋ฌธ์ด ์žˆ๋Š” ๋งŒํผ, ๊ด€๋ จ ๊ฐœํŽธ๋ฐฉ์•ˆ์˜ ์ˆ˜๋„๊ถŒ/๋น„์ˆ˜๋„๊ถŒ์˜ ์ด์›ํ™”์™€ ํ•จ๊ป˜ ๋ฒ•์  ๊ฐœ๋…์— ๊ทผ๊ฑฐํ•œ ๋‚™ํ›„์ง€์—ญ/๋น„๋‚™ํ›„์ง€์—ญ์˜ ๊ตฌ๋ถ„์„ ํ†ตํ•˜์—ฌ ์ •๋ถ€ ์ •์ฑ…์˜ ๋ชฉํ‘œ ์‹คํ˜„ ๊ฐ€๋Šฅ์„ฑ์„ ๊ฒ€ํ† ํ•ด๋ณด์•˜๋‹ค. ์ด๋ฅผ ์œ„ํ•˜์—ฌ 2009๋…„ 1์›”๋ถ€ํ„ฐ 2019๋…„ 7์›”๊นŒ์ง€ ๋ฐœ๊ฐ„๋œ ์˜ˆ๋น„ํƒ€๋‹น์„ฑ์กฐ์‚ฌ๋ณด๊ณ ์„œ๋ฅผ ์ˆ˜์ง‘ํ•˜์—ฌ ์ด 377๊ฐœ ํ‘œ๋ณธ ์‚ฌ์—…์— ๋Œ€ํ•œ ๋ถ„์„์„ ์‹œํ–‰ํ•˜์˜€๋‹ค. ๋จผ์ €, ์ œ๋„ ๊ฐœํŽธ ์ „์˜ AHP ์ข…ํ•ฉํ‰์  ๋ฐ ๊ฒฝ์ œ์„ฑ ์‹œํ–‰ํ‰์ ์„ ์ˆ˜๋„๊ถŒ/๋น„์ˆ˜๋„๊ถŒ์œผ๋กœ ๊ตฌ๋ถ„ํ•˜์—ฌ ๋น„๊ตํ•œ ๊ฒฐ๊ณผ, ์–‘ ๊ถŒ์—ญ ๊ฐ„์— ์˜ˆ๋น„ํƒ€๋‹น์„ฑ์กฐ์‚ฌ AHP ์ข…ํ•ฉํ‰์ ์€ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๊ฐ€ ์—†์—ˆ์œผ๋ฉฐ, ๊ฒฝ์ œ์„ฑ ์‹œํ–‰ํ‰์ ์€ ์ˆ˜๋„๊ถŒ ์‚ฌ์—…์ด ๋น„์ˆ˜๋„๊ถŒ ์‚ฌ์—…์— ๋น„ํ•˜์—ฌ 17.5% ๋†’์•˜๋‹ค. ์ด๋ฅผ ๋‚™ํ›„์ง€์—ญ/๋น„๋‚™ํ›„์ง€์—ญ์œผ๋กœ ๋‹ค์‹œ ๊ตฌ๋ถ„ํ•˜์—ฌ ๋น„๊ตํ•œ ๊ฒฐ๊ณผ, ์–‘ ๊ถŒ์—ญ ๊ฐ„์— ์˜ˆ๋น„ํƒ€๋‹น์„ฑ์กฐ์‚ฌ AHP ์ข…ํ•ฉํ‰์ ์€ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๊ฐ€ ์—†์—ˆ์œผ๋ฉฐ, ๊ฒฝ์ œ์„ฑ ์‹œํ–‰ํ‰์ ์€ ๋น„๋‚™ํ›„์ง€์—ญ ์‚ฌ์—…์ด ๋‚™ํ›„์ง€์—ญ ์‚ฌ์—…์— ๋น„ํ•˜์—ฌ 55.2% ๋†’์•˜๋‹ค. ์ƒ๋Œ€์ ์œผ๋กœ ์†Œ์™ธ๋œ ์ง€์—ญ์ด๋ผ ํ•  ์ˆ˜ ์žˆ๋Š” ๋น„์ˆ˜๋„๊ถŒ์ด๋‚˜ ๋‚™ํ›„์ง€์—ญ์ด ์ˆ˜๋„๊ถŒ์ด๋‚˜ ๋น„๋‚™ํ›„์ง€์—ญ์— ๋น„ํ•˜์—ฌ ์˜ˆ๋น„ํƒ€๋‹น์„ฑ์กฐ์‚ฌ์— ๋”ฐ๋ฅธ AHP ์ข…ํ•ฉํ‰์ ์ด ๊ฒฐ์ฝ” ๋‚ฎ์€ ์ˆ˜์ค€์ด ์•„๋‹ˆ๋ผ๋Š” ๊ฒƒ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋˜ํ•œ, ๊ฒฝ์ œ์„ฑ ์‹œํ–‰ํ‰์ ์€ ๋น„์ˆ˜๋„๊ถŒ ์ง€์—ญ ๋ณด๋‹ค๋Š” ๋‚™ํ›„์ง€์—ญ์ด ์ƒ๋Œ€์ ์œผ๋กœ ๋” ๋‚ฎ์€ ํ‰์ ์„ ๊ธฐ๋กํ•˜๊ณ  ์žˆ์Œ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์˜ˆ๋น„ํƒ€๋‹น์„ฑ์กฐ์‚ฌ ์ œ๋„ ๊ฐœํŽธ์˜ ํšจ๊ณผ๋ฅผ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ๊ธฐ์กด์˜ ์‚ฌ์—…๋“ค์„ ์ˆ˜๋„๊ถŒ๊ณผ ๋น„์ˆ˜๋„๊ถŒ, ๋‚™ํ›„์ง€์—ญ๊ณผ ๋น„๋‚™ํ›„์ง€์—ญ์˜ ์‚ฌ์—…์œผ๋กœ ์žฌ๋ถ„๋ฅ˜ํ•˜์—ฌ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์‹œํ–‰ํ•˜์˜€๋‹ค. ๊ธฐ์กด์˜ ์˜ˆ๋น„ํƒ€๋‹น์„ฑ์กฐ์‚ฌ๋ณด๊ณ ์„œ๋ฅผ ํ†ตํ•˜์—ฌ ๊ฐ ์‚ฌ์—…์˜ ํ‰๊ฐ€ํ•ญ๋ชฉ๋ณ„ ํ‰์ ๊ณผ ๊ฐ€์ค‘์น˜๋ฅผ ์‚ฐ์ถœํ•˜์˜€๊ณ , ์ด๋ฅผ ๊ฐœํŽธ๋œ ์ œ๋„์— ์ ์šฉํ•˜์—ฌ ์ƒˆ๋กœ์šด ๊ฐ€์ค‘์น˜ ๋ถ€์—ฌ ํ›„, ๆ–ฐ AHP ์ข…ํ•ฉํ‰์ ์„ ์‚ฐ์ •ํ•˜์˜€๋‹ค. ์˜ˆ๋น„ํƒ€๋‹น์„ฑ์กฐ์‚ฌ ์ œ๋„ ๊ฐœํŽธ ์ „โ€คํ›„์˜ AHP ์ข…ํ•ฉํ‰์ ์„ ๋น„๊ตํ•œ ๊ฒฐ๊ณผ, ๋น„์ˆ˜๋„๊ถŒ ์‚ฌ์—…์˜ AHP ์ข…ํ•ฉํ‰์ ์€ ์ œ๋„ ๊ฐœํŽธ ์ „ ๋Œ€๋น„ 4.8% ์ƒ์Šนํ•˜์˜€์œผ๋ฉฐ ์ด๋Š” ํ†ต๊ณ„์ ์œผ๋กœ๋„ ์œ ์˜ํ•œ ๊ฒฐ๊ณผ์˜€๋‹ค. ๋น„์ˆ˜๋„๊ถŒ ๋‚ด ๋‚™ํ›„์ง€์—ญ๊ณผ ๋น„๋‚™ํ›„์ง€์—ญ์„ ๊ตฌ๋ถ„ํ•˜์—ฌ ๋น„๊ตํ•ด๋ณด๋ฉด, ๋‚™ํ›„์ง€์—ญ์€ ์ œ๋„ ๊ฐœํŽธ ์ „ ๋Œ€๋น„ 7.4%, ๋น„๋‚™ํ›„์ง€์—ญ์€ 1.6% ์ƒ์Šนํ•˜์˜€์œผ๋ฉฐ ๋ชจ๋‘ ํ†ต๊ณ„์ ์œผ๋กœ๋„ ์œ ์˜ํ•œ ๊ฒฐ๊ณผ์˜€๋‹ค. ๊ฒฐ๊ตญ, ๊ฒฝ์ œ์„ฑ ํ‰๊ฐ€์˜ ๋น„์ค‘ ์กฐ์ •์€ ๋น„์ˆ˜๋„๊ถŒ๊ณผ ๋‚™ํ›„์ง€์—ญ์— ๋ชจ๋‘ ์œ ๋ฆฌํ•˜๊ฒŒ ์ž‘์šฉํ•  ๊ฒƒ์œผ๋กœ ํŒ๋‹จ๋œ๋‹ค. AHP ์ข…ํ•ฉํ‰์ ์˜ ๋ณ€๋™์— ๋”ฐ๋ฅธ ์˜ˆ๋น„ํƒ€๋‹น์„ฑ์กฐ์‚ฌ ํ†ต๊ณผ์œจ์€ ๋น„์ˆ˜๋„๊ถŒ, ํŠนํžˆ ๋‚™ํ›„์ง€์—ญ์—์„œ ๊ธ‰๊ฒฉํžˆ ์ƒ์Šนํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ •๋ถ€์—์„œ ์˜ˆ๋น„ํƒ€๋‹น์„ฑ์กฐ์‚ฌ ํ‰๊ฐ€ํ•ญ๋ชฉ์˜ ์ˆ˜๋„๊ถŒ/๋น„์ˆ˜๋„๊ถŒ ์ด์›ํ™”๋ฅผ ์ถ”์ง„ํ•˜๋Š” ๋ชฉ์ ์€ ๋‚™ํ›„์ง€์—ญ์— ๋Œ€ํ•œ ๋ฐฐ๋ ค์ด๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ์—์„œ ๋‚˜ํƒ€๋‚ฌ๋“ฏ์ด ํ™•์‹คํ•˜๊ณ  ์ •ํ™•ํ•œ ๋ชฉ์ ์˜ ๋‹ฌ์„ฑ์„ ์œ„ํ•ด์„œ๋Š” ์ˆ˜๋„๊ถŒ/๋น„์ˆ˜๋„๊ถŒ์˜ ๊ตฌ๋ถ„๋ณด๋‹ค๋Š” ๋‚™ํ›„์ง€์—ญ/๋น„๋‚™ํ›„์ง€์—ญ์˜ ๊ถŒ์—ญ ๊ตฌ๋ถ„์ด ์ •์ฑ… ๋ชฉํ‘œ๋ฅผ ๋‹ฌ์„ฑํ•˜๋Š” ๋ฐ์— ๋ณด๋‹ค ํšจ๊ณผ์ ์œผ๋กœ ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค.The purpose of this study is to predict the effectiveness of the policy implementation in advance by analyzing the effects of the dualization of the proportion of assessment items in metropolitan/non-metropolitan areas in the plan to reform the preliminary feasibility study system, and to review matters that need to be supplemented in the future implementation process. As 20 years have passed since the introduction of the preliminary feasibility study system, there is a need to reflect the changed economic and social conditions in the system. As a result, the government judges that calls for balanced national development and realization of various social values are increasing. In response, the government intended to dualize the evaluation of metropolitan and non-metropolitan areas by reorganizing the proportion of comprehensive assessment, thereby considering underdeveloped areas in the provinces. However, there is a question that the non-metropolitan area, which the government says, is not necessarily an underdeveloped area. Thus, along with the above-mentioned reform measures, we reviewed the feasibility of realizing the goals of government policies through the classification of underdeveloped/non-underdeveloped areas based on legal concepts. For this purpose, a total of 377 sample projects were analyzed by collecting preliminary feasibility study reports published from January 2009 to July 2019. First of all, I compared AHP's overall score and economic feasibility evaluation score before the system reform by dividing it into metropolitan and non-metropolitan areas. As a result, there was no statistically significant difference in the preliminary feasibility study AHP overall score between the two regions, and the economic feasibility evaluation score was 17.5% higher than that of non-metropolitan area. As a result of comparing them again by dividing them into underdeveloped/non-underdeveloped areas, the preliminary feasibility study AHP overall scores between the two regions showed no statistically significant difference, and the economic feasibility evaluation score was 55.2% higher than that of underdeveloped area. I could see that AHP's overall score based on preliminary feasibility studies in non-metropolitan areas or underdeveloped areas, which are relatively marginalized areas, was never lower than that of metropolitan areas or non-underdeveloped areas. Also, I could see that the economic evaluation score of underdeveloped areas was relatively lower than that of non-metropolitan areas. As another task, the simulation was conducted by reclassifying existing projects into those of metropolitan/non-metropolitan area, and underdeveloped/non-underdeveloped area, to verify the effectiveness of the preliminary feasibility study system reform. The scores and weights for each project were calculated through the existing preliminary feasibility study reports. In addition, the existing weights were applied to the revised system to give new weights to calculate the new AHP overall score. Based on the above process, we compared the AHP overall scores before and after the reorganization of the preliminary feasibility study system. The overall AHP score for non-metropolitan projects rose 4.8% compared to the period before the system was reorganized, which was also a statistically significant. Comparing underdeveloped and non-underdeveloped in non-metropolitan areas, the overall AHP score for projects in underdeveloped areas rose 7.4% compared to before the system was reformed, while that for non-underdeveloped areas rose 1.6%. And they were all statistically significant results. After all, the adjustment of the weight of economic assessment is expected to benefit both non-metropolitan areas and underdeveloped areas. The passing rate of preliminary feasibility studies due to changes in AHP overall scores has been shown to rise sharply in non-metropolitan areas, especially in underdeveloped areas. The purpose of the government's push for the dualization of preliminary feasibility study assessment items between metropolitan and non-metropolitan areas is to provide consideration for underdeveloped areas. As shown in the results of this study, in order to achieve a clear and accurate purpose, the division of areas in underdeveloped/non-underdeveloped areas could contribute more effectively to achieving policy goals than in the metropolitan/non-metropolitan areas.์ œ 1 ์žฅ ์„œ๋ก  1 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  1 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ์˜ ๋ฒ”์œ„ ๋ฐ ๋ฐฉ๋ฒ• 5 ์ œ 2 ์žฅ ์ด๋ก ์  ๋ฐฐ๊ฒฝ ๋ฐ ์„ ํ–‰์—ฐ๊ตฌ ๋ถ„์„ 10 ์ œ 1 ์ ˆ ์˜ˆ๋น„ํƒ€๋‹น์„ฑ์กฐ์‚ฌ์™€ ๋‚™ํ›„์ง€์—ญ ๊ด€๋ จ ์ด๋ก ์  ๋ฐฐ๊ฒฝ 10 1. ์˜ˆ๋น„ํƒ€๋‹น์„ฑ์กฐ์‚ฌ 10 2. ๋‚™ํ›„์ง€์—ญ 19 ์ œ 2 ์ ˆ ์„ ํ–‰์—ฐ๊ตฌ ๊ฒ€ํ†  26 ์ œ 3 ์ ˆ ์š”์•ฝ ๋ฐ ์—ฐ๊ตฌ์˜ ์ฐจ๋ณ„์„ฑ 28 ์ œ 3 ์žฅ ์—ฐ๊ตฌ๋ฐฉ๋ฒ• 29 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ์˜ ๋ถ„์„ํ‹€ 29 1. ์—ฐ๊ตฌ๋ชจํ˜•์˜ ์„ค์ • 29 2. ์—ฐ๊ตฌ ๊ฐ€์„ค 35 ์ œ 2 ์ ˆ ์ž๋ฃŒ์ˆ˜์ง‘ ๋ฐ ๋ถ„์„๋ฐฉ๋ฒ• 36 ์ œ 4 ์žฅ ๋ถ„์„๊ฒฐ๊ณผ 37 ์ œ 1 ์ ˆ ๊ธฐ์ˆ ํ†ต๊ณ„ ๋ฐ ๋นˆ๋„ ๋ถ„์„ 37 1. ๊ธฐ์ˆ ํ†ต๊ณ„ ๋ถ„์„ 37 2. ๋นˆ๋„ ๋ถ„์„ 40 ์ œ 2 ์ ˆ ๊ฒฝ์ œ์„ฑ ํ‰๊ฐ€์˜ ์˜ํ–ฅ๋ ฅ ๋ถ„์„ 43 1. ์—ฐ๋„๋ณ„ ํ‰๊ท  B/C๋น„์œจ ๋ถ„์„ 43 2. B/C๋น„์œจ๊ณผ ์˜ˆ๋น„ํƒ€๋‹น์„ฑ์กฐ์‚ฌ ํ†ต๊ณผ์œจ ๋ถ„์„ 46 ์ œ 3 ์ ˆ ์ˆ˜๋„๊ถŒ ๊ตฌ๋ถ„๊ณผ ๋‚™ํ›„์ง€์—ญ ๊ตฌ๋ถ„์˜ ๋™์งˆ์„ฑ ๋ถ„์„ 48 1. ์ˆ˜๋„๊ถŒ/๋น„์ˆ˜๋„๊ถŒ ๊ตฌ๋ถ„์— ๋”ฐ๋ฅธ ์‚ฌ์—… ๋ถ„์„ 48 2. ๋‚™ํ›„์ง€์—ญ/๋น„๋‚™ํ›„์ง€์—ญ ๊ตฌ๋ถ„์— ๋”ฐ๋ฅธ ์‚ฌ์—… ๋ถ„์„ 50 3. ์ˆ˜๋„๊ถŒ-๋น„๋‚™ํ›„์ง€์—ญ(๋˜๋Š” ๋น„์ˆ˜๋„๊ถŒ-๋‚™ํ›„์ง€์—ญ) ๊ฐ„ ๋™์งˆ์„ฑ ๋ถ„์„ 52 ์ œ 4 ์ ˆ ํ‰๊ฐ€ํ•ญ๋ชฉ ๋น„์ค‘ ์ด์›ํ™”์˜ ํšจ๊ณผ ๋ถ„์„ 53 1. ๆ–ฐ์ œ๋„ ๊ฐœํŽธ์‹œ ํ‰๊ฐ€ํ•ญ๋ชฉ๋ณ„ ๊ฐ€์ค‘์น˜ ์˜ˆ์ธก 53 2. ๆ–ฐ์ œ๋„ ๊ฐœํŽธ์‹œ AHP ์ข…ํ•ฉํ‰์  ๋ฐ ํ†ต๊ณผ๋น„์œจ ์˜ˆ์ธก 55 ์ œ 5 ์žฅ ๊ฒฐ๋ก  56 ์ œ 1 ์ ˆ ๋ถ„์„๊ฒฐ๊ณผ์— ๋Œ€ํ•œ ๊ณ ์ฐฐ 56 ์ œ 2 ์ ˆ ์˜ˆ๋น„ํƒ€๋‹น์„ฑ์กฐ์‚ฌ ์ œ๋„ ๊ฐœํŽธ๋ฐฉ์•ˆ์— ๋Œ€ํ•œ ๊ณ ์ฐฐ 59 1. ์ˆ˜๋„๊ถŒ/๋น„์ˆ˜๋„๊ถŒ ํ‰๊ฐ€ ์ด์›ํ™” 59 2. ์ข…ํ•ฉํ‰๊ฐ€ ์ฃผ์ฒด์˜ ๋ณ€๊ฒฝ 60 ์ œ 3 ์ ˆ ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„ ๋ฐ ํ–ฅํ›„ ๊ณผ์ œ 62 ์ฐธ๊ณ ๋ฌธํ—Œ 63Maste

    Ex Post Cost-benefit Analysis of a Sea-crossing Bridge Considering Inconvenience Costs : A Case of the Abhae Bridge

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ํ™˜๊ฒฝ๋Œ€ํ•™์› : ํ™˜๊ฒฝ๊ณ„ํšํ•™๊ณผ, 2015. 2. ๊น€์„ฑ์ˆ˜.์šฐ๋ฆฌ๋‚˜๋ผ๋Š” ์„ฌ๊ณผ ์œก์ง€ ์‚ฌ์ด์˜ ํ†ตํ–‰์„ ํŽธ๋ฆฌํ•˜๊ฒŒ ํ•˜๊ธฐ ์œ„ํ•ด ์—ฐ๋ฅ™๊ต ๊ฑด์„ค์‚ฌ์—…์„ ํ™œ๋ฐœํ•˜๊ฒŒ ์ถ”์ง„ํ•˜๊ณ  ์žˆ๋‹ค. ์ง€๊ธˆ๊นŒ์ง€ ์ด 37๊ฐœ์˜ ์—ฐ๋ฅ™๊ต๊ฐ€ ๊ฐœํ†ต๋˜์—ˆ์œผ๋ฉฐ, ํ˜„์žฌ๋„ ๋งŽ์€ ์—ฐ๋ฅ™๊ต ๊ฑด์„ค์ด ์ถ”์ง„๋˜๊ณ  ์žˆ๋‹ค. ์—ฐ๋ฅ™๊ต๊ฐ€ ๊ฑด์„ค๋จ์œผ๋กœ์จ ์œก์ง€์™€ ์„ฌ์„ ํ†ตํ–‰ํ•˜๋Š” ์‚ฌ๋žŒ๋“ค์€ ํ†ตํ–‰์˜ ์œ ์—ฐ์„ฑ(ํŽ˜๋ฆฌ์˜ ์šดํ•ญ ์‹œ๊ฐ„๊ณผ ๊ฐ„๊ฒฉ์— ์˜ํ–ฅ์„ ๋ฐ›์ง€ ์•Š๊ณ  24์‹œ๊ฐ„ ๋‚ด๋‚ด ์ž์œ ๋กญ๊ฒŒ ํ†ตํ–‰ ๊ฐ€๋Šฅ)์ด ํ–ฅ์ƒ๋œ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ํ˜„์žฌ ์˜ˆ๋น„ํƒ€๋‹น์„ฑ์กฐ์‚ฌ ๋“ฑ์—์„œ๋Š” ์ด๋Ÿฌํ•œ ํŠน์„ฑ์„ ๋ฐ˜์˜ํ•˜์ง€ ๋ชปํ•œ๋‹ค. ๋˜ํ•œ, ์—ฐ๋ฅ™๊ต ๊ฑด์„ค์ด ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๊ฐ€ ๋ถ€์กฑํ•œ ์‹ค์ •์ด๋‹ค. ์ด์— ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์—ฐ๋ฅ™๊ต์˜ ์‚ฌํ›„ ๋น„์šฉํŽธ์ต๋ถ„์„ ๋ฐฉ๋ฒ•๋ก ์„ ์ •๋ฆฝํ•˜๊ณ , ๊ฐœํ†ต ์ „ ํŽ˜๋ฆฌ์˜ ํ†ตํ–‰๋Ÿ‰๊ณผ ๊ฐœํ†ต ํ›„ TMS ๊ตํ†ต๋Ÿ‰ ์ž๋ฃŒ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์—ฐ๋ฅ™๊ต์˜ ์‚ฌํ›„ ๋น„์šฉํŽธ์ต๋ถ„์„์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๊ธฐ์กด ํŽธ์ต ํ•ญ๋ชฉ ์ด์™ธ์— ์—ฐ๋ฅ™๊ต๊ฐ€ ๊ฑด์„ค๋จ์œผ๋กœ์จ ํ–ฅ์ƒ๋˜๋Š” ํ†ตํ–‰์˜ ์œ ์—ฐ์„ฑ์„ ๋ฐ˜์˜ํ•  ์ˆ˜ ์žˆ๋Š” ๋ถˆํŽธ๋น„์šฉ(Inconvenience costs) ๊ฐ์†Œ ํŽธ์ต์„ ์ถ”๊ฐ€๋กœ ๊ณ ๋ คํ•˜์˜€๋‹ค. ๋ถ„์„๋Œ€์ƒ๊ตฌ๊ฐ„์€ ์—ฐ๋ฅ™๊ต ๊ฐœํ†ต ์ „ ํŽ˜๋ฆฌ ์ž๋ฃŒ๋ฅผ ๊ตฌ๋“ํ•  ์ˆ˜ ์žˆ๊ณ  ๊ฐœํ†ต ํ›„ TMS ๊ตํ†ต๋Ÿ‰ ์ž๋ฃŒ๋ฅผ ์ˆ˜์ง‘ํ•˜์—ฌ ์—ฐ๋ฅ™๊ต ๊ฐœํ†ต ์ „ยทํ›„์˜ ํ†ตํ–‰๋Ÿ‰์„ ๊ตฌํ•  ์ˆ˜ ์žˆ๋Š” ์••ํ•ด๋Œ€๊ต๋ฅผ ์„ ์ •ํ•˜์˜€๋‹ค. ์—ฐ๋ฅ™๊ต ๊ฐœํ†ต ์ „ ํ†ตํ–‰๋Ÿ‰์€ ์••ํ•ด๋„์™€ ๋ชฉํฌ์‹œ ๋ถํ•ญ์„ ์šดํ•ญํ•˜๋˜ ์••ํ•ด๋†ํ˜‘ํ˜ธ์˜ ์šดํ•ญ์ผ์ง€๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์‚ฐ์ถœํ•˜๊ณ , ๊ฐœํ†ต ํ›„ ํ†ตํ–‰๋Ÿ‰์€ TMS ๊ตํ†ต๋Ÿ‰ ์ž๋ฃŒ๋ฅผ ์ด์šฉํ•˜์—ฌ ๊ตฌ์ถ•ํ•˜์˜€๋‹ค. ์žฅ๋ž˜ ํ†ตํ–‰๋Ÿ‰์€ ์‹ ์•ˆ๊ตฐ ํ†ตํ–‰ ์ฆ๊ฐ€๋น„์œจ์„ ๋ฐ”ํƒ•์œผ๋กœ ์˜ˆ์ธกํ•˜์˜€๋‹ค. ์••ํ•ด๋Œ€๊ต์˜ ๊ฒฝ์šฐ ๋ถˆํŽธ๋น„์šฉ ๊ฐ์†Œ ํŽธ์ต์„ ๊ณ ๋ คํ•œ ์‚ฌํ›„ ๋น„์šฉํŽธ์ต๋ถ„์„ ๊ฒฐ๊ณผ B/C๊ฐ€ 1.1์ธ ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค. ํŽธ์ต ํ•ญ๋ชฉ๋“ค ์ค‘ ํ†ตํ–‰์‹œ๊ฐ„ ์ ˆ๊ฐ ํŽธ์ต, ์šดํ–‰๋น„์šฉ ์ ˆ๊ฐ ํŽธ์ต, ๋ถˆํŽธ๋น„์šฉ ๊ฐ์†Œ ํŽธ์ต์€ ํ”Œ๋Ÿฌ์Šค ํŽธ์ต์ด ๋ฐœ์ƒํ•˜๊ณ , ํ™˜๊ฒฝ๋น„์šฉ ์ ˆ๊ฐ ํŽธ์ต, ์‚ฌ๊ณ ๋น„์šฉ ์ ˆ๊ฐ ํŽธ์ต์€ ๋งˆ์ด๋„ˆ์Šค ํŽธ์ต์ด ๋ฐœ์ƒํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค. ํŽธ์ตํ•ญ๋ชฉ๋“ค ์ค‘ ํ†ตํ–‰์‹œ๊ฐ„ ์ ˆ๊ฐ ํŽธ์ต์ด ๊ฐ€์žฅ ํฌ๊ฒŒ ๋ฐœ์ƒํ•˜์˜€๊ณ , ๋ถˆํŽธ๋น„์šฉ ๊ฐ์†Œ ํŽธ์ต์€ ์ด ํŽธ์ต์˜ ์•ฝ 32%๋ฅผ ์ฐจ์ง€ํ•˜์—ฌ ์ƒ๋‹นํžˆ ํฐ ๋น„์ค‘์„ ์ฐจ์ง€ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ธฐ์กด ์˜ˆ๋น„ํƒ€๋‹น์„ฑ์กฐ์‚ฌ์—์„œ ์ˆ˜ํ–‰ํ•˜๋Š” ๋ฐฉ์‹์œผ๋กœ ๋น„์šฉํŽธ์ต์˜ ๋น„์œจ์„ ์‚ฐ์ •ํ•œ ํ›„ ๊ฐ’์„ ๋น„๊ตํ•œ ๊ฒฐ๊ณผ ์œ ๋ฐœ์ˆ˜์š”๋ฅผ ๊ธฐ์กด ์ˆ˜์š”์˜ 50%๋กœ ๊ฐ€์ •ํ•  ๋•Œ B/C๋Š” 0.55, ๊ตํ†ต๋Ÿ‰ ์ž๋ฃŒ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์žฅ๋ž˜ ํ†ตํ–‰๋Ÿ‰์„ ์˜ˆ์ธกํ–ˆ์œผ๋‚˜ ๋ถˆํŽธ๋น„์šฉ ๊ฐ์†Œ ํŽธ์ต์„ ๊ณ ๋ คํ•˜์ง€ ์•Š์•˜์„ ๋•Œ B/C๋Š” 0.76์ธ ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค. ์—ฐ๋ฅ™๊ต ๊ฐœํ†ต์œผ๋กœ ์ธํ•œ ์œ ๋ฐœํ†ตํ–‰๋Ÿ‰์€ ๊ธฐ์กด ์˜ˆ์ธก์น˜๋ณด๋‹ค ๋” ๋งŽ์ด ๋ฐœ์ƒํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋Š”๋ฐ ์ด๋Š” ์—ฐ๋ฅ™๊ต ๊ฑด์„ค๋กœ ํ†ตํ–‰์˜ ์œ ์—ฐ์„ฑ์ด ํ–ฅ์ƒ๋๊ธฐ ๋•Œ๋ฌธ์ธ ๊ฒƒ์œผ๋กœ ํŒ๋‹จ๋œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์—ฐ๋ฅ™๊ต์˜ ์‚ฌํ›„ ๋น„์šฉํŽธ์ต๋ถ„์„์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๋Œ€์ƒ ๊ตฌ๊ฐ„์˜ ํ•œ์ • ๋ฐ ์˜ํ–ฅ๊ถŒ ์„ค์ • ๋ถ€์žฌ ๋“ฑ ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„์ ์ด ์กด์žฌํ•˜๋‚˜ ๋ถˆํŽธ๋น„์šฉ ๊ฐ์†Œ ํŽธ์ต์„ ์ถ”๊ฐ€๋กœ ๊ณ ๋ คํ•จ์œผ๋กœ์จ ์—ฐ๋ฅ™๊ต์˜ ํŠน์ˆ˜์„ฑ์„ ๋ฐ˜์˜ํ–ˆ๋‹ค๋Š” ์ ์— ์˜์˜๊ฐ€ ์žˆ๋‹ค.์ œ1์žฅ ์„œ๋ก  ์ œ1์ ˆ ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  1 1. ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ 1 2. ์—ฐ๊ตฌ์˜ ๋ชฉ์  2 ์ œ2์ ˆ ์—ฐ๊ตฌ์˜ ๋ฒ”์œ„ ๋ฐ ์ˆ˜ํ–‰ ์ ˆ์ฐจ 3 1. ์—ฐ๊ตฌ์˜ ๋ฒ”์œ„ 3 2. ์—ฐ๊ตฌ์˜ ์ˆ˜ํ–‰ ์ ˆ์ฐจ 4 ์ œ2์žฅ ์—ฐ๋ฅ™๊ต์˜ ๋น„์šฉํŽธ์ต๋ถ„์„ ๋ฐฉ๋ฒ• ๊ณ ์ฐฐ ์ œ1์ ˆ ๊ตญ๋‚ด ์‚ฌ๋ก€ 5 1. ์—ฐ๋ฅ™๊ต์˜ ๋น„์šฉํŽธ์ต๋ถ„์„ ๋ฐฉ๋ฒ• 5 2. ์‹ ๊ณตํ•ญ์˜ ํŽธ์ต ์ถ”์ •๋ฐฉ๋ฒ• 11 ์ œ2์ ˆ ๊ตญ์™ธ ์‚ฌ๋ก€ 13 1. ๋ถˆํŽธ๋น„์šฉ(Inconvenience costs) ๊ฐ์†Œ ํŽธ์ต 13 2. ์‚ฌํ›„ ์‚ฌํšŒยท๊ฒฝ์ œ์  ํ‰๊ฐ€ 21 ์ œ3์ ˆ ๊ตญ๋‚ดยท์™ธ ์—ฐ๊ตฌ์˜ ์‹œ์‚ฌ์  ๋ฐ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ 23 1. ๊ตญ๋‚ดยท์™ธ ์—ฐ๊ตฌ์˜ ์‹œ์‚ฌ์  23 2. ์—ฐ๊ตฌ ๋ฐฉํ–ฅ 24 ์ œ3์žฅ ์—ฐ๋ฅ™๊ต์˜ ์‚ฌํ›„ ๋น„์šฉํŽธ์ต๋ถ„์„ ๋ฐฉ๋ฒ•๋ก  ์ •๋ฆฝ ์ œ1์ ˆ ๋ฐฉ๋ฒ•๋ก ์˜ ๊ฐœ์š” 25 ์ œ2์ ˆ ํŽธ์ต์˜ ์‚ฐ์ • 27 1. ํ†ตํ–‰์‹œ๊ฐ„ ์ ˆ๊ฐ ํŽธ์ต 27 2. ๋ถˆํŽธ๋น„์šฉ ๊ฐ์†Œ ํŽธ์ต 29 3. ์šดํ–‰๋น„์šฉ ์ ˆ๊ฐ ํŽธ์ต 32 4. ์‚ฌ๊ณ ๋น„์šฉ ์ ˆ๊ฐ ํŽธ์ต 34 5. ํ™˜๊ฒฝ๋น„์šฉ ์ ˆ๊ฐ ํŽธ์ต 36 ์ œ3์ ˆ ๋น„์šฉ์˜ ์‚ฐ์ • 39 ์ œ4์ ˆ ๋น„์šฉํŽธ์ต ๋น„์œจ์˜ ์‚ฐ์ • 40 ์ œ4์žฅ ์ž๋ฃŒ์˜ ๊ตฌ์ถ• ์ œ1์ ˆ ์—ฐ๊ตฌ๋Œ€์ƒ ์—ฐ๋ฅ™๊ต์˜ ์„ ์ • 41 ์ œ2์ ˆ ์••ํ•ด๋Œ€๊ต ํ†ตํ–‰๋Ÿ‰ ์ž๋ฃŒ์˜ ๊ตฌ์ถ• 44 1. ์••ํ•ด๋Œ€๊ต ๊ฐœํ†ต ์ „ยทํ›„์˜ ํ†ตํ–‰๋Ÿ‰ 44 2. ์••ํ•ด๋Œ€๊ต ๋ฏธ์‹œํ–‰์‹œ์™€ ์‹œํ–‰์‹œ์˜ ์˜ˆ์ธก ํ†ตํ–‰๋Ÿ‰ 48 ์ œ5์žฅ ์••ํ•ด๋Œ€๊ต์˜ ์‚ฌํ›„ ๋น„์šฉํŽธ์ต๋ถ„์„ ๊ฒฐ๊ณผ ์ œ1์ ˆ ์‚ฌํ›„ ๋น„์šฉํŽธ์ต๋ถ„์„์˜ ์ „์ œ 55 1. ๋น„์šฉํŽธ์ต๋ถ„์„์„ ์œ„ํ•œ ๊ฐ€์ • 55 2. ๋น„์šฉํŽธ์ต๋ถ„์„์˜ ํ•œ๊ณ„ 56 ์ œ2์ ˆ ์‚ฌํ›„ ๋น„์šฉํŽธ์ต๋ถ„์„ ๊ฒฐ๊ณผ 58 ์ œ3์ ˆ ์˜ˆ๋น„ํƒ€๋‹น์„ฑ์กฐ์‚ฌ ๋ฐฉ๋ฒ•์„ ์ ์šฉํ•œ ๋ถ„์„ ๊ฒฐ๊ณผ์™€์˜ ๋น„๊ต 60 ์ œ6์žฅ ๊ฒฐ๋ก  ์ œ1์ ˆ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ 62 ์ œ2์ ˆ ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„ ๋ฐ ํ–ฅํ›„ ์—ฐ๊ตฌ๊ณผ์ œ 64Maste

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    ๋…ธํŠธ : ์ด ์—ฐ๊ตฌ๋ณด๊ณ ์„œ์˜ ๋‚ด์šฉ์€ ๊ตญํ† ์—ฐ๊ตฌ์›์˜ ์ž์ฒด ์—ฐ๊ตฌ๋ฌผ๋กœ์„œ ์ •๋ถ€์˜ ์ •์ฑ…์ด๋‚˜ ๊ฒฌํ•ด์™€๋Š” ์ƒ๊ด€์—†์Šต๋‹ˆ๋‹ค

    ํ™˜๊ฒฝ๋ถ€ ๊ธฐํ›„๋ณ€ํ™” R&D ์‚ฌ์—… ์ค‘์‹ฌ์œผ๋กœ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๋†์—…์ƒ๋ช…๊ณผํ•™๋Œ€ํ•™ ์ƒํƒœ์กฐ๊ฒฝยท์ง€์—ญ์‹œ์Šคํ…œ๊ณตํ•™๋ถ€(์ƒํƒœ์กฐ๊ฒฝํ•™), 2023. 2. ์ด๋™๊ทผ.๊ทธ๊ฐ„ ํ•œ๊ตญ ์ •๋ถ€์—์„œ๋Š” ๊ธฐํ›„๋ณ€ํ™” ๋Œ€์‘์„ ์œ„ํ•ด 1999๋…„๋ถ€ํ„ฐ ํ˜„์žฌ๊นŒ์ง€ ๊ธฐํ›„๋ณ€ํ™” ๊ด€๋ จ ์ •์ฑ… ์ˆ˜๋ฆฝ๊ณผ ๊ตญ๊ฐ€ R&D ํˆฌ์ž ๋“ฑ ์—ฌ๋Ÿฌ ๋ฐฉ๋ฉด์œผ๋กœ ๋…ธ๋ ฅ์„ ํ•ด์™”์œผ๋‚˜ ๊ตญ์ œ์‚ฌํšŒ๋กœ๋ถ€ํ„ฐ๋Š” ๋ถ€์ •์  ํ‰๊ฐ€๋ฅผ ๋ฐ›๊ณ  ์žˆ๋‹ค. ํŠนํžˆ, ๋…์ผ Germanwatch์—์„œ ์‹ค์‹œํ•œ 2022๋…„ ๊ธฐํ›„๋ณ€ํ™” ๋Œ€์‘์ง€์ˆ˜(CCPI)ํ‰๊ฐ€์—์„œ ํ•œ๊ตญ์€ ์ตœํ•˜์œ„๊ถŒ(60์œ„)์˜ ํ‰๊ฐ€๋ฅผ ๋ฐ›์•˜์œผ๋ฉฐ, ๋ฏธ๊ตญ์˜ 2022 EPI (ํ™˜๊ฒฝ์„ฑ ํ‰๊ฐ€)์—์„œ๋„ 63์œ„๋กœ OECD ๊ตญ๊ฐ€ ์ค‘์—์„œ๋Š” ์ตœํ•˜์œ„๊ถŒ์„ ๊ธฐ๋กํ–ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๊ตญ์ œ์‚ฌํšŒ์˜ ๋ถ€์ •์ ์ธ ํ‰๊ฐ€๋Š” ํ–ฅํ›„ ํƒ„์†Œ๊ตญ๊ฒฝ์„ธ ์‹œํ–‰์— ๋”ฐ๋ฅธ ํ•œ๊ตญ ์‚ฐ์—…๊ณ„์˜ ๋ถ€์ •์  ์˜ํ–ฅ(30๋…„์— 1์กฐ 8,700์–ต์› ์†ํ•ด) EYํ•œ์˜, ๊ธฐํ›„๋ณ€ํ™” ๊ทœ์ œ๊ฐ€ ํ•œ๊ตญ์ˆ˜์ถœ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ๋ถ„์„ (n.p.: EYํ•œ์˜, 2020), 35. ๊ณผ RE100์— ์˜๊ฑฐํ•œ ์ˆ˜์ž…ํ’ˆ ์ œํ•œ ๋ฐฐ์ •ํ™˜, RE100์ด ํ•œ๊ตญ์˜ ์ฃผ์š” ์ˆ˜์ถœ์‚ฐ์—…์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ(๊ตญ๋ฌธ ์š”์•ฝ๋ฌธ) (n.p.: KDI, 2021), 1. ๋“ฑ ๋‹ค์–‘ํ•œ ๊ฒฝ์ œ์  ์ œํ•œ(Economic restrictions) ๋“ฑ์œผ๋กœ ์ด์–ด์ง€๊ธฐ ๋•Œ๋ฌธ์— ์ˆ˜์ถœ์‚ฐ์—…์ด ์ฃผ๋œ ๊ตฌ์กฐ์ธ ๊ตญ๋‚ด ์‚ฐ์—…์— ๋งค์šฐ ์‹ฌ๊ฐํ•œ ์œ„์ถ•์„ ๊ฐ€์ ธ์˜ฌ ์ˆ˜ ์žˆ๋‹ค๋Š” ์ ์—์„œ ์„ ์ œ์  ๋Œ€์‘์ด ํ•„์š”ํ•˜๋‹ค. ๋˜ํ•œ, ์ •๋ถ€ ์ฐจ์›์˜ ๊ธฐํ›„๋ณ€ํ™” ๋Œ€์‘ ๋…ธ๋ ฅ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ  ๊ธฐํ›„๋ณ€ํ™”๋กœ ์ธํ•œ ๊ตญ๊ฐ€์  ํ”ผํ•ด์•ก(2020๋…„ 1์กฐ 2.585์–ต ์›)์€ ๊ณผ๊ฑฐ์— ๋น„ํ•ด ๋น ๋ฅด๊ฒŒ ์ฆ๊ฐ€ํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ํ”ผํ•ด ์ตœ์†Œํ™”๋ฅผ ์œ„ํ•œ ๊ฒฌ๊ณ ํ•œ ๋Œ€์‘ ์ฒด๊ณ„์˜ ํ™•๋ฆฝ ์‹œ๊ธ‰ํ•˜๋‹ค. ์œ„์˜ ์‚ฌ์‹ค๋กœ ๋ฏธ๋ฃจ์–ด๋ณด์•„ ๊ทธ๊ฐ„ ํ•œ๊ตญ ์ •๋ถ€์˜ ๊ธฐํ›„๋ณ€ํ™” ๋Œ€์‘์„ ์œ„ํ•œ ๋…ธ๋ ฅ ๋Œ€๋น„ ๊ทธ ์„ฑ๊ณผ๋Š” ๋งค์šฐ ์ €์กฐํ•œ ๊ฒƒ์„ ์•Œ ์ˆ˜ ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ์˜ ์›์ธ์€ ์ž˜๋ชป๋œ ์ •์ฑ… ์ˆ˜๋ฆฝ ๋ฐฉํ–ฅ๊ณผ ์ •์ฑ… ์ดํ–‰์„ ์ง€์›ํ•˜๊ธฐ ์œ„ํ•œ ๊ธฐ์ˆ  ๋ถ€์กฑ(ํ˜น์€ ๊ฐœ๋ฐœ๋œ ๊ธฐ์ˆ ์˜ ๋‚ฎ์€ ํ™œ์šฉ์„ฑ)๊ณผ ๋น„ํšจ์œจ์  ๊ฑฐ๋ฒ„๋„Œ์Šค ๋Œ€์‘์ฒด๊ณ„ ๋“ฑ ์—ฌ๋Ÿฌ ๋ฐฉ๋ฉด์— ๊ฑธ์ณ ์žˆ์„ ๊ฒƒ์ด๋‹ค. ๋‹ค์–‘ํ•œ ์›์ธ ์ค‘์—์„œ ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ฐœ๋ฐœ๋œ ๊ธฐ์ˆ ์˜ ๋‚ฎ์€ ํ™œ์šฉ์„ฑ ์ธก๋ฉด์— ๋Œ€ํ•ด ์ง‘์ค‘ํ•œ๋‹ค. ์ฆ‰, ๊ธฐํ›„๋ณ€ํ™” ์ •์ฑ… ์ˆ˜๋ฆฝ๊ณผ ์ดํ–‰์ง€์›์„ ์œ„ํ•œ ๊ธฐํ›„๋ณ€ํ™” R&D์‚ฌ์—… ์„ฑ๊ณผ๋ฌผ ์‹คํšจ์„ฑ ์ €ํ•ด ์š”์ธ์„ ํŒŒ์•…ํ•˜๊ณ , ์ด๋ฅผ ์ œ๊ณ  ํ•˜๊ธฐ ์œ„ํ•œ ๋ฐฉ์•ˆ์„ ์—ฐ๊ตฌํ•œ๋‹ค. ๊ทธ ์ด์œ ๋Š” ๊ตญ๊ฐ€ R&D ์‚ฌ์—… ์ž์ฒด๊ฐ€ ์‹œ๊ธ‰ํ•œ ํ˜„์•ˆ์„ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด ๊ธฐํš๋˜๋ฏ€๋กœ R&D ์‚ฌ์—…์˜ ์‹คํšจ์„ฑ์„ ์ œ๊ณ  ํ•˜๋Š” ๊ฒƒ์ด ๊ฐ€์‹œ์  ํšจ๊ณผ๋ฅผ ๋‚˜ํƒ€๋‚ด๋Š” ๊ฐ€์žฅ ๋น ๋ฅธ ์˜์—ญ์ด๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ํŠนํžˆ, ๋‹ค์–‘ํ•œ R&D์‚ฌ์—… ์˜์—ญ ์ค‘์—์„œ ๊ธฐํ›„๋ณ€ํ™” ๋Œ€์‘ ์ด๊ด„ ๋ถ€์ฒ˜ ํ™˜๊ฒฝ๋ถ€๋Š” ํƒ„์†Œ์ค‘๋ฆฝ๊ธฐ๋ณธ๋ฒ• ๋ฐ ๋™๋ฒ• ์‹œํ–‰๋ น ๋“ฑ์— ์˜๊ฑฐ ํ•˜์—ฌ ๊ธฐํ›„๋ณ€ํ™” ๋Œ€์‘ ๋ชฉํ‘œ ๋ฐ ์ตœ์  ๊ฒฝ๋กœ(Pathway) ์ˆ˜๋ฆฝ๊ณผ ์ดํ–‰ํ‰๊ฐ€ ๋“ฑ ๊ตญ๊ฐ€ ๊ธฐํ›„๋ณ€ํ™” ๋Œ€์‘ ๋ฐฉํ–ฅ ๊ฒฐ์ •ํ•˜๋Š” ์—ญํ•  ์ดํ–‰ํ•ด์•ผํ•œ๋‹ค. ์ธ ํ™˜๊ฒฝ๋ถ€ ๊ธฐํ›„๋ณ€ํ™” R&D ์„ฑ๊ณผ๋ฌผ ์‹คํšจ์„ฑ ์ œ๊ณ  ๋ฐฉ์•ˆ์— ๋Œ€ํ•ด ๋ถ„์„ํ•œ๋‹ค. ๊ทธ ์ด์œ ๋Š” ์ด๊ด„๋ถ€์ฒ˜์˜ R&D ์„ฑ๊ณผ๋ฌผ์„ ํ™œ์šฉํ•œ ์ •ํ™•ํ•œ ์ •์ฑ… ์ˆ˜๋ฆฝ ๋ฐ ์ดํ–‰์ง€์›์ด ์ด๋ฃจ์–ด์ง€๋Š” ๊ฒƒ์ด ๊ตญ์ œ์‚ฌํšŒ์˜ ๋ถ€์ •์  ํ‰๊ฐ€์™€ ์‹ฌํ™”ํ•˜๋Š” ๊ธฐํ›„ํ”ผํ•ด ๋ฌธ์ œ ํ•ด๊ฒฐ์— ๊ฐ€์žฅ ๋น ๋ฅธ ํšจ๊ณผ๋ฅผ ๋‚˜ํƒ€๋‚ผ ๊ฒƒ์ด๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋ฌธํ—Œ์กฐ์‚ฌ๋กœ ๊ตญ๋‚ดยท์™ธ R&D ์‚ฌ์—…์˜ ์ „์ฃผ๊ธฐ(๊ธฐํš-์—ฐ๊ตฌ๊ฐœ๋ฐœ-๊ด€๋ฆฌ-ํ™œ์šฉยทํ™•์‚ฐ) ์ฒด๊ณ„์— ๋Œ€ํ•ด ๋น„๊ตยท๋ถ„์„ํ•˜์—ฌ ๋ฒค์น˜๋งˆํ‚น ์š”์†Œ๋ฅผ ๋„์ถœํ•˜๊ณ , ํ™˜๊ฒฝ๋ถ€ ๊ธฐํ›„๋ณ€ํ™” R&D ์‚ฌ์—…์— ๋Œ€ํ•œ ์ƒ์œ„๊ธฐ๊ด€(๊ณผํ•™๊ธฐ์ˆ ์ •๋ณดํ†ต์‹ ๋ถ€(์ดํ•˜ ๊ณผ๊ธฐ๋ถ€)) ๋ฐ ์™ธ๋ถ€ ์ „๋ฌธ๊ฐ€ ํ‰๊ฐ€ ๊ฒฐ๊ณผ๋ฅผ ๊ฒ€ํ† ํ•˜์—ฌ R&D ์‚ฌ์—… ์„ฑ๊ณผ๋ฌผ ์‹คํšจ์„ฑ ํ˜„ํ™ฉ์— ๋Œ€ํ•ด ๋„์ถœ ํ•œ๋‹ค. ๋˜ํ•œ, ์ „๋ฌธ๊ฐ€ ๋Œ€์ƒ(์ˆ˜์š”๊ธฐ๊ด€, ์—ฐ๊ตฌ๊ฐœ๋ฐœ๊ธฐ๊ด€, ๊ด€๋ฆฌ๊ธฐ๊ด€ ๋ฐ ๊ธฐํƒ€ ์‚ฐ/ํ•™/์—ฐ ๊ธฐ๊ด€)์œผ๋กœ ์„ค๋ฌธ์กฐ์‚ฌ(1ยท2์ฐจ)๋ฅผ ์ง„ํ–‰ํ•œ๋‹ค. 1์ฐจ ์„ค๋ฌธ์กฐ์‚ฌ๋Š” ์‹คํšจ์„ฑ ํ˜„ ์‹คํƒœ์— ๋Œ€ํ•œ ์ผ๋ฐ˜ ์„ค๋ฌธ์กฐ์‚ฌ(5์  ๋งŒ์ ), ์‹คํšจ์„ฑ ์ œ๊ณ  ์š”์ธ์˜ ์šฐ์„ ์ˆœ์œ„ ๋ถ„์„์„ ์œ„ํ•œ AHP ์„ค๋ฌธ์กฐ์‚ฌ ๊ทธ๋ฆฌ๊ณ  ์‹คํšจ์„ฑ ์ œ๊ณ ๋ฅผ ์œ„ํ•œ ์„ธ๋ถ€ ์‹คํ–‰๋ฐฉ์•ˆ์— ๋Œ€ํ•œ ์„ค๋ฌธ์กฐ์‚ฌ(์„œ์ˆ ํ˜•ํƒœ)๋กœ ๊ตฌ์„ฑ๋˜๋ฉฐ, 2์ฐจ ์„ค๋ฌธ์กฐ์‚ฌ์—์„œ๋Š” AHP ๊ฒฐ๊ณผ ํ•ด์„์„ ์œ„ํ•œ ์ถ”๊ฐ€ ์„ค๋ฌธ์œผ๋กœ ์ด๋ฃจ์–ด์ง„๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ๋ฌธํ—Œ์กฐ์‚ฌ, ์ „๋ฌธ๊ฐ€ ์„ค๋ฌธ์กฐ์‚ฌ๋ฅผ ํ†ตํ•ด ์–ป์€ ์ž๋ฃŒ ๋ฐ R&D ๊ธฐํš/๊ด€๋ฆฌ ์—…๋ฌด์˜ ์‹ค๋ฌด ๊ฒฝํ—˜ ๋“ฑ์„ ์ข…ํ•ฉ ๋ถ„์„ํ•˜์—ฌ ํ™˜๊ฒฝ๋ถ€ ๊ธฐํ›„๋ณ€ํ™” R&D ์‚ฌ์—… ์‹คํšจ์„ฑ ์ œ๊ณ ๋ฅผ ์œ„ํ•ด ํ•„์š”ํ•œ ์š”์†Œ์— ๋Œ€ํ•ด ์ •์ฑ…์  ์ œ์–ธ์„ ํ•œ๋‹ค. ๊ตญ๋‚ดยท์™ธ R&D ์‚ฌ์—… ์ „์ฃผ๊ธฐ ๊ด€๋ฆฌ ์ฒด๊ณ„์—์„œ ์ฃผ์š” ์„ ์ง„๊ตญ(๋ฏธ๊ตญ, EU, ์ผ๋ณธ ๋“ฑ)์€ ์„ฑ๊ณผ ํ™œ์šฉยทํ™•์‚ฐ์„ ์œ„ํ•ด ์—ฐ๊ตฌ ์ˆ˜ํ–‰ ์กฐ์ง ์„ค๋ฆฝยท์šด์˜, ์„ฑ๊ณผ ํ™œ์šฉ ์ง€์› ํ”„๋กœ๊ทธ๋žจ ์„ค์น˜, ์„ฑ๊ณผ ํ™œ์šฉ ์ธ์„ผํ‹ฐ๋ธŒ ์ œ๊ณต, ์—ฐ๊ตฌ ๊ด€๋ จ ์ •๋ณด ๊ณต๊ฐœ ํ™•์‚ฐ๊ณผ R&D ์„ฑ๊ณผ์˜ ์‚ฌํšŒ์  ๊ฐ€์น˜ ๊ฐ•์กฐํ•˜๋Š” ์ •์ฑ… ๋“ฑ์„ ์‹œํ–‰ ์ค‘์ด๋‹ค. ๋ฐ˜๋ฉด์— ํ•œ๊ตญ์˜ ๊ฒฝ์šฐ ๋…ผ๋ฌธ, ํŠนํ—ˆ ๋“ฑ์œผ๋กœ ์„ฑ๊ณผ๋ฅผ ํ‰๊ฐ€ํ•˜๊ณ , ์‚ฌ์—… ์ข…๋ฃŒ ํ›„ ์„ ์ง„๊ตญ๊ณผ ๋น„์Šทํ•˜๊ฒŒ 5๋…„ ์ •๋„๋กœ ์ถ”์  ๊ธฐ๊ฐ„์„ ๊ฐ–์ง€๋งŒ, ์„ฑ๊ณผ ํ™œ์šฉํ™•์‚ฐ์„ ์œ„ํ•œ ์—ฐ๊ตฌ ์ˆ˜ํ–‰ ์กฐ์ง ๋“ฑ์„ ๋ณ„๋„๋กœ ์„ค๋ฆฝํ•˜๊ฑฐ๋‚˜ ์ง€์›ํ•˜์ง€ ์•Š๋Š”๋‹ค. ๊ตญ๋‚ด ๋ถ€์ฒ˜ ๊ฐ„ R&D ์ „์ฃผ๊ธฐ ์ฒด๊ณ„๋ฅผ ๋น„๊ต ๋ถ„์„ํ•ด๋ณด๋ฉด, ๊ณผ๊ธฐ๋ถ€์˜ ๊ฒฝ์šฐ๋Š” ์ตœ๊ทผ ๊ธฐํ›„๋ณ€ํ™” ๊ธฐ์ˆ ๊ฐœ๋ฐœ ๊ธฐ๋ณธ๋ฒ• ๋“ฑ์„ ์ œ์ •ํ•˜์—ฌ ๊ธฐํ›„ ๊ธฐ์ˆ ์˜ ํ™œ์šฉยทํ™•์‚ฐ ์ œ๊ณ ๋ฅผ ์œ„ํ•œ ๋ฒ•์  ๊ทผ๊ฑฐ๋ฅผ ๋งˆ๋ จํ–ˆ๋‹ค. ์„ฑ๊ณผ์ง€ํ‘œ์˜ ๊ฒฝ์šฐ EU์™€ ๊ฐ™์ด ์„ฑ๊ณผ๋ฌผ ํ™œ์šฉ์„ ํ†ตํ•œ ์‚ฌํšŒ/๊ฒฝ์ œ์  ๋ณ€ํ™”๊นŒ์ง€ ๊ณ ๋ คํ•˜์—ฌ ์„ฑ๊ณผ์ง€ํ‘œ ๊ด€๋ฆฌ๋ฅผ ํ•˜๊ณ  ์žˆ๋‹ค. ๋˜ํ•œ, ํ™˜๊ฒฝ๋ถ€ ๊ธฐํ›„๋ณ€ํ™” R&D์‚ฌ์—…์— ๋Œ€ํ•œ ์ƒ์œ„๊ธฐ๊ด€ ํ‰๊ฐ€ ๊ฒฐ๊ณผ๋ฅผ ์‚ดํŽด๋ณด๋ฉด, ๊ธฐ์ˆ  ์ž์ฒด์˜ ํ•„์š”์„ฑ/์šฐ์ˆ˜์„ฑ์€ ์ธ์ •๋˜์ง€๋งŒ, ์‹ค ์ˆ˜์š”์ฒ˜์—์„œ ์‹ค์งˆ์ ์œผ๋กœ ํ™œ์šฉ๋˜๊ธฐ ์œ„ํ•œ ์ „๋žต ๋ฏธํก, ์‚ฌ์šฉ์ž ์นœํ™”์  ์†Œํ”„ํŠธ์›จ์–ด ๋ถ€์žฌ ๋“ฑ ์‹ค์งˆ์  ํ™œ์šฉ์„ฑ์ด ๋‹ค์†Œ ๋‚ฎ๋‹ค๊ณ  ํ‰๊ฐ€ํ–ˆ๋‹ค. ๋˜ํ•œ, ์‹ ๊ทœ์‚ฌ์—…(์‹ ๊ธฐํ›„์ฒด์ œ ๋Œ€์‘ ํ™˜๊ฒฝ๊ธฐ์ˆ ๊ฐœ๋ฐœ์‚ฌ์—…)์—์„œ๋Š” ์ตœ์ข… ์ˆ˜์š”์ฒ˜์˜ ํ™œ์šฉ์„ฑ ์ œ๊ณ ๋ฅผ ์œ„ํ•œ ๊ตฌ์ฒด์  ์ „๋žต ์ˆ˜๋ฆฝ์ด ํ•„์š”ํ•จ์„ ๊ฐ•์กฐํ–ˆ๋‹ค. ์ „๋ฌธ๊ฐ€ ์„ค๋ฌธ์กฐ์‚ฌ๋Š” ์ฒซ ๋ฒˆ์งธ ํ•ญ๋ชฉ(์‹คํšจ์„ฑ ์‹คํƒœ์กฐ์‚ฌ)์—์„œ๋Š” ์ˆ˜์š”๊ธฐ๊ด€(์˜จ์‹ค๊ฐ€์Šค์ข…ํ•ฉ์ •๋ณด์„ผํ„ฐ, ๊ตญ๋ฆฝํ™˜๊ฒฝ๊ณผํ•™์› ๋“ฑ)์—์„œ ์‹คํšจ์„ฑ(์„ฑ๊ณผ๋ฌผ์˜ ์ •์ฑ…์ˆ˜๋ฆฝ์ง€์›, ๊ธฐ์ˆ ์ด์ „ ๋“ฑ ํ™œ์šฉ๋˜๋Š” ์ •๋„)์ด 5์  ๋งŒ์ ์— ์•ฝ 3์ ์œผ๋กœ ๊ธฐ๋ก๋˜์—ˆ๋‹ค. ์ด๋Š” ์—ฐ๊ตฌ๊ฐœ๋ฐœ ์ „๋ฌธ๊ฐ€ ์ง‘๋‹จ์ด ์•ฝ 4์ ์„ ๊ธฐ๋กํ•œ ๊ฒƒ๊ณผ๋Š” ๋Œ€์กฐ์ ์ด๋‹ค. ์ฆ‰, ์„ฑ๊ณผ๋ฌผ์˜ ๊ฐœ๋ฐœ ๋ฐ ์ด๋ฅผ ํ™œ์šฉํ•œ ์—ฐ๊ตฌ ํ™œ๋™ ๋“ฑ์€ ์ด๋ฃจ์–ด์ง€์ง€๋งŒ ์‹ค ์ˆ˜์š”์ฒ˜์—์„œ๋Š” ์‹ค์งˆ์ ์œผ๋กœ ์ œ๋Œ€๋กœ ํ™œ์šฉ๋˜๊ณ  ์žˆ์ง€ ์•Š๋‹ค๋Š” ๊ฒƒ์„ ์˜๋ฏธํ•œ๋‹ค. ๋˜ํ•œ, ์‹คํšจ์„ฑ ์ œ๊ณ  ์š”์ธ ๋ถ„์„์„ ์œ„ํ•œ AHP ๊ณ„์ธต ์„ค๋ฌธ์กฐ์‚ฌ์—์„œ๋Š” R&D ์ „์ฃผ๊ธฐ ๋‹จ๊ณ„(๊ธฐํš-์—ฐ๊ตฌ๊ฐœ๋ฐœ-์‚ฌ์—…๊ด€๋ฆฌ-ํ™œ์šฉยทํ™•์‚ฐ)๋กœ ๊ตฌ๋ถ„ํ•˜์—ฌ ์กฐ์‚ฌํ–ˆ๋‹ค. ์„ค๋ฌธ ๊ฒฐ๊ณผ ๊ธฐํš ๋‹จ๊ณ„๊ฐ€ ๊ฐ€์ค‘์น˜๊ฐ€ ์ œ์ผ ๋†’์€ ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ์œผ๋ฉฐ, ๊ธฐํš ์š”์†Œ ์ค‘์—์„œ๋„ ์ธํ”„๋ผ(๊ธฐํš ์ธ๋ ฅ ๋ฐ ๊ธฐํš ์˜ˆ์‚ฐ)๊ฐ€ 1์ˆœ์œ„๋กœ ํ‰๊ฐ€๋˜์—ˆ๋‹ค. ๊ธฐํš ์‹œ์— ์ตœ์ข… ์˜ˆ์ƒ ์„ฑ๊ณผ๋ฌผ์— ๋Œ€ํ•œ ํ™œ์šฉ ์‹œ๋‚˜๋ฆฌ์˜ค ๋“ฑ์„ ๊ตฌ์ฒด์ ์œผ๋กœ ๊ตฌ์„ฑํ•˜๋Š” ๊ฒƒ์ด ์‹คํšจ์„ฑ ์ œ๊ณ ์— ํฐ ์˜ํ–ฅ์„ ๋ฏธ์นœ๋‹ค๋Š” ๊ฒƒ์„ ์•Œ ์ˆ˜ ์žˆ๋‹ค. ์„ธ๋ถ€ ์‹คํ–‰๋ฐฉ์•ˆ ์„ค๋ฌธ์—์„œ๋Š” AHP ๊ณ„์ธต ์™ธ์— ์‹คํšจ์„ฑ ์ œ๊ณ ๋ฅผ ์œ„ํ•œ ์‹คํ–‰๋ฐฉ์•ˆ(์„œ์ˆ ํ˜•ํƒœ)์„ ์กฐ์‚ฌํ–ˆ์œผ๋ฉฐ, ํ™œ์šฉยทํ™•์‚ฐ ๋‹จ๊ณ„์—์„œ ์„ฑ๊ณผ๋ฌผ์˜ ์ง€์†์  ์—…๋ฐ์ดํŠธ ๋ฐ ๋ณด์™„์„ ์œ„ํ•œ ์˜ˆ์‚ฐ์ง€์› ๋“ฑ์ด ํ•„์š”ํ•œ ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค. 2์ฐจ ์„ค๋ฌธ์กฐ์‚ฌ์—์„œ๋Š” AHP ๊ฒฐ๊ณผ ๋ถ„์„์„ ์œ„ํ•œ ์ „๋ฌธ๊ฐ€ ๋Œ€์ƒ ์ถ”๊ฐ€ ์„ค๋ฌธ์กฐ์‚ฌ๋ฅผ ์ง„ํ–‰ํ–ˆ๋‹ค. R&D ์ „์ฃผ๊ธฐ ๋‹จ๊ณ„ ์ค‘ ํ™œ์šฉยทํ™•์‚ฐ์ด๋‚˜ ์—ฐ๊ตฌ๊ฐœ๋ฐœ ๋‹จ๊ณ„๊ฐ€ ์•„๋‹Œ ๊ธฐํš ๋‹จ๊ณ„๊ฐ€ 1์ˆœ์œ„๋กœ ํ‰๊ฐ€๋œ ๊ฒƒ์€ ํ™˜๊ฒฝ๋ถ€ ๊ธฐํ›„๋ณ€ํ™” R&D์‚ฌ์—…์˜ ๊ณต๊ณตํ™œ์šฉ ์„ฑ๊ฒฉ์ด ๋งค์šฐ ํฐ ๊ฒƒ์— ๊ธฐ์ธํ•œ ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค. ์ฆ‰, ์‚ฌ์ต์„ ์ถ”๊ตฌํ•˜๋Š” ๊ธฐํƒ€ R&D๋Š” ํ™œ์šฉยทํ™•์‚ฐ ๋‹จ๊ณ„์ธ ํŠนํ—ˆ๋ถ„์Ÿ์ด๋‚˜ ์‚ฌ์—…ํ™”๋ฅผ ์œ„ํ•œ ์ „๋žต ์ˆ˜๋ฆฝ์˜ ์ค‘์š”์„ฑ์ด ๋งค์šฐ ์ค‘์š”ํ•˜๋‚˜ ๊ณต๊ณต ํ™œ์šฉ ์„ฑ๊ฒฉ์ด ๊ฐ•ํ•œ R&D์‚ฌ์—…์˜ ๊ฒฝ์šฐ ๊ธฐํš ๋‹จ๊ณ„์—์„œ๋ถ€ํ„ฐ ์ตœ์ข… ์ˆ˜์š”์ฒ˜๋ฅผ ๋ช…ํ™•ํ•˜๊ฒŒ ํ•˜์—ฌ ํ™œ์šฉ ์ „๋žต๊นŒ์ง€ ์ˆ˜๋ฆฝํ•˜๋Š” ๊ฒƒ์ด ๋ฌด์—‡๋ณด๋‹ค ํ•ต์‹ฌ์ธ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋ฌธํ—Œ์กฐ์‚ฌ(R&D ์ „์ฃผ๊ธฐ ๊ด€๋ฆฌ ์ฒด๊ณ„, ์ƒ์œ„๊ธฐ๊ด€ ํ‰๊ฐ€๊ฒฐ๊ณผ)์™€ ์ „๋ฌธ๊ฐ€ ์„ค๋ฌธ์กฐ์‚ฌ ๋ฐ R&D์‚ฌ์—… ๊ธฐํš/๊ด€๋ฆฌ ์‹ค๋ฌด ๊ฒฝํ—˜ ๋“ฑ์„ ์ข…ํ•ฉํ•œ ํ™˜๊ฒฝ๋ถ€ ๊ธฐํ›„๋ณ€ํ™” R&D ์„ฑ๊ณผ๋ฌผ ์‹คํšจ์„ฑ ์ œ๊ณ ๋ฅผ ์œ„ํ•œ ์ •์ฑ…์  ์ œ์–ธ์€ ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ๊ธฐํš ๋‹จ๊ณ„์—์„œ๋Š” ์„ฑ๊ณผ์ง€ํ‘œ์˜ ๊ตฌ์ฒด์  ์„ค์ •๊ณผ ์˜ˆ์ƒ๋˜๋Š” ์ˆ˜์š”์ฒ˜ ๊ด€๊ณ„์ž์™€ ๋‹ค์–‘ํ•œ ๋ถ„์•ผ์˜ ์ „๋ฌธ๊ฐ€๊ฐ€ ๊ธฐํš์— ์ฐธ์—ฌํ•˜๊ณ , ์˜ˆ์ƒ๋˜๋Š” ์„ฑ๊ณผ๋ฌผ์˜ ๊ตฌ์ฒด์  ํ™œ์šฉ๋ฐฉ์•ˆ์„ ๊ตฌ์ถ•ํ•ด์•ผ ํ•œ๋‹ค. ์ด์—๋”ฐ๋ผ ๊ธฐํš ์ธ๋ ฅ๊ณผ ์šฉ์—ญ ์˜ˆ์‚ฐ ์ฆ์•ก ๋“ฑ์ด ์ด๋ฃจ์–ด์ ธ์•ผ ํ•œ๋‹ค. ์—ฐ๊ตฌ๊ฐœ๋ฐœ/์‚ฌ์—…๊ด€๋ฆฌ ๋‹จ๊ณ„์—์„œ๋Š” ์—ฐ๊ตฌ๊ฐœ๋ฐœ ๊ธฐ๊ด€๊ณผ ์ตœ์ข… ์ˆ˜์š”์ฒ˜ ๊ฐ„์— ํ˜‘์˜์ฒด๋ฅผ ์กฐ์„ฑํ•˜์—ฌ ์ˆ˜์š”๊ธฐ๊ด€์˜ ์˜๊ฒฌ์„ ๋ฐ˜์˜ํ•  ์ˆ˜ ์žˆ๋Š” ์ฐฝ๊ตฌ๋ฅผ ๋งŒ๋“ค์–ด์•ผ ํ•œ๋‹ค. ์ด ์™ธ์—๋„ ์—ฐ๊ตฌ๊ฐœ๋ฐœ ๊ธฐ๊ด€์ด ์‚ฌํšŒ์  ํšจ๊ณผํ‰๊ฐ€ ์ง€ํ‘œ ๋‹ฌ์„ฑ์„ ํ†ตํ•ด ์„ฑ๊ณผ ํ™œ์šฉ์„ ๋‹ฌ์„ฑํ•˜๋ฉด, ์ธ์„ผํ‹ฐ๋ธŒ ์ œ๊ณต ๋“ฑ์„ ์ง€์›ํ•ด์•ผ ํ•œ๋‹ค. ํ™œ์šฉยทํ™•์‚ฐ ๋‹จ๊ณ„์—์„œ๋Š” ํ•œ๊ตญํ˜• ๊ธฐํ›„๋ณ€ํ™” ์ด๊ด„ ๋Œ€์‘ ๊ธฐ๊ตฌ(KPCC)๋ฅผ ์ฐฝ์„คํ•˜์—ฌ ๋ถ€์ฒ˜๋ณ„๋กœ ์‚ฐ์žฌ ๋˜์–ด์žˆ๋Š” ๊ธฐํ›„๋ณ€ํ™” ๋Œ€์‘ ์—…๋ฌด๋ฅผ ํ†ตํ•ฉ ์šด์˜ํ•ด์•ผ ํ•œ๋‹ค. ๋˜ํ•œ, ์„ฑ๊ณผ๋ฌผ์˜ ๊ณต๋™ ์†Œ์œ (์—ฐ๊ตฌ๊ธฐ๊ด€ ๋ฐ ๊ตญ๊ฐ€)๋ฅผ ํ†ตํ•ด ์ง€์†์ ์ธ ํ›„์† ๊ด€๋ฆฌ ์ฒด๊ณ„๋ฅผ ๊ตฌ์ถ•ํ•ด์•ผ ํ•œ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด DB์˜ ์ง€์†์  ์—…๋ฐ์ดํŠธ์™€ ์„ฑ๊ณผ๋ฌผ(ํ†ตํ•ฉํ‰๊ฐ€ ๋ชจํ˜• ๋“ฑ)์˜ ์œ ์ง€ ๋ฐ ๋ณด์ˆ˜๋ฅผ ์ง€์›ํ•ด์•ผ ํ•œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•œ ๊ธฐํ›„๋ณ€ํ™” R&D ์„ฑ๊ณผ๋ฌผ์˜ ์‹คํšจ์„ฑ ์ œ๊ณ ๋งŒ์„ ํ†ตํ•ด์„œ ํ•œ๊ตญ์ด ๋งˆ์ฃผํ•œ ๊ธฐํ›„๋ณ€ํ™” ๊ด€๋ จ ํ˜„์•ˆ์ด ๋ชจ๋‘ ํ•ด๊ฒฐ๋˜์ง€๋Š” ์•Š์„ ๊ฒƒ์ด๋‹ค. ํ•˜์ง€๋งŒ, ํ™˜๊ฒฝ๋ถ€ ๊ธฐํ›„๋ณ€ํ™” R&D ์‚ฌ์—…์˜ ์„ฑ๊ณผ๋ฌผ์„ ์ œ๋Œ€๋กœ ํ™œ์šฉํ•˜์—ฌ ๊ณผํ•™์  ๊ทผ๊ฑฐ์— ๊ธฐ๋ฐ˜ํ•œ ์ •์ฑ… ์ˆ˜๋ฆฝ ๋ฐ ์ดํ–‰์„ ์ ๊ทน์ ์œผ๋กœ ์ง€์›ํ•œ๋‹ค๋ฉด, ๊ตญ์ œ์‚ฌํšŒ๋กœ๋ถ€ํ„ฐ ๊ธฐํ›„ ์•…๋‹น ๋“ฑ๊ณผ ๊ฐ™์€ ๋ถ€์ •์ ์ธ ํ‰๊ฐ€์— ๋Œ€์‘ํ•˜์—ฌ ๊ณผ๋„ํ•œ ์ฑ…์ž„ ๋ถ€๋‹ด์„ ๋ฐฉ์ง€ํ•  ์ˆ˜ ์žˆ๊ณ , ๊ธฐํ›„ ํ”ผํ•ด ์ตœ์†Œํ™” ์ฒด๊ณ„ ๊ตฌ์ถ•์— ์ด๋ฐ”์ง€ํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ๋ฐ ๋ณธ ์—ฐ๊ตฌ์˜ ์˜์˜๊ฐ€ ์žˆ๋‹ค.Even though the Korea government has made huge efforts, such as establishment of policy and R&D investments to address for climate change since 1999, the Korea deserves the lowest evaluation among OECD countries for climate change efforts from the international community recently. To be specific, Korea is ranked 60th in 2022 CCPI scorecard by Germanwatch in Germany and 63rd EPI scorecard by Standford University in the U.S. And the social damage cost(over one trillion won in 2020) by climate change has been increased rapidly compared to the past. Based on these facts, the efficiency of the Korea government efforts for climate change is definitely very low, which is attributable to the various reasons from the wrong policy direction to absence of technologies to support the policy(or low effectiveness of technologies) and ineffective governance etc. This study focuses on analyzing the measures to increase the effectiveness of outcomes from R&D projects supporting the policy. This is because R&D projects of government are planned to address urgent problems. So, as effectiveness of R&D outcomes becomes higher, the problems facing Korea government would be solved fast as well. Also, it analyzes only for the projects by Ministry of Environment(ME) in Korea since the ME is the overall control government department. To derive the measures, this study uses literature review and survey for the experts. For literature review, this study compares the system of R&D projects between the Korea and other developed countries. And also, it reviews the results of evaluation by higher authority(Ministry of Science technologies in Korea) for previous climate change R&D projects of Ministry of Environment in Korea. The survey consists of two chapter. The first one consists of three part and the second is one part. The first chapter asks (a) the status of effectiveness(descriptive), (b) AHP survey(pair comparison), (c) methods survey to increase effectiveness(descriptive). The second chapter surveys to analyze the results of AHP survey(1st chapter) and asks more specific measures to increase the effectiveness(descriptive). The developed countries usually evaluate about the social/economic effects by outcomes from R&D projects. And also, they usually organize special experts to promote utilization of the outcomes. But on the contrary, the Korea government generally focus on numerical index, such as thesis and patent, and also do not organize the special experts to support to increase utilization of the outcomes. The evaluation by higher authority says that outcomes from the previous climate change R&D projects are not well used by the government officers in charge of. In the expert survey, planning phase is evaluated as the most important among other phases (development, management, utilization / diffusion). To be specific, infrastructure(manpower and monetary support) of planning phase is assessed as the most core component to increase the effectiveness. Taken together, this study makes policy recommendations for each R&D phases. For planning one, the Korea government makes evaluates more specific results (such as, social/economic effects) and should increase manpower/monetary support. At development/management phase, the end-users should participate in and communicate with development(and management) institutes constantly. Lastly, for utilization/diffusion phase, the government should compose the integrated organization(KPCC) to cope with climate change issues(scientifically and politically). And the outcomes (such as DB and modeling system) have to be upgraded constantly for the future. This study does not solve all the problems that the government is facing. However, it would be helpful for things as follows; the government would be able to address the negative evaluation from the international government and minimize damages by climate change through increasing the effectiveness of R&D outcomes.1. ์„œ ๋ก  1 1.1. ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  1 1.2. ์—ฐ๊ตฌ์˜ ๊ตฌ์กฐ 8 1.3. ์„ ํ–‰์—ฐ๊ตฌ 10 1.3.1. R&D ์„ฑ๊ณผ ๋ฐ ๊ด€๋ฆฌ์ฒด๊ณ„์— ๊ด€ํ•œ ์—ฐ๊ตฌ 10 1.3.2. AHP ๋ถ„์„์— ๊ด€ํ•œ ์—ฐ๊ตฌ 12 1.4. ๊ธฐํ›„๋ณ€ํ™” R&D ์‚ฌ์—… ํ˜„ํ™ฉ 19 1.4.1. ํƒ€๋ถ€์ฒ˜ ๊ธฐํ›„๋ณ€ํ™” R&D ์‚ฌ์—… ํ˜„ํ™ฉ 25 1.4.2. ํ™˜๊ฒฝ๋ถ€ ๊ธฐํ›„๋ณ€ํ™” R&D์‚ฌ์—… ํ˜„ํ™ฉ 26 1.4.3. ํ™˜๊ฒฝ๋ถ€ ๋ฐ ํƒ€๋ถ€์ฒ˜ ๊ธฐํ›„๋ณ€ํ™” R&D ์‚ฌ์—… ๊ฐ„ ์—ฐ๊ณ„ ๋ฐฉ์•ˆ 34 2. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• 35 2.1. ์—ฐ๊ตฌ ์ถ”์ง„ ์ ˆ์ฐจ 35 2.1.1. ์—ฐ๊ตฌ๋ฒ”์œ„ 36 2.2. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• 38 2.2.1. [1์ฐจ ์„ค๋ฌธ] ์„ฑ๊ณผ๋ฌผ ์‹คํšจ์„ฑ์— ๊ด€ํ•œ ์‹คํƒœ์กฐ์‚ฌ(์ผ๋ฐ˜์„ค๋ฌธ) 39 2.2.2. [1์ฐจ ์„ค๋ฌธ] ์ œ๊ณ  ์š”์ธ ์šฐ์„ ์ˆœ์œ„ ๋ถ„์„(AHP ๋ถ„์„) 40 2.2.3. [1์ฐจ ์„ค๋ฌธ] ์‹คํšจ์„ฑ ์ œ๊ณ  ์œ„ํ•œ ๋‹จ๊ณ„๋ณ„ ์‹คํ–‰๋ฐฉ์•ˆ ์กฐ์‚ฌ(์ผ๋ฐ˜์„ค๋ฌธ) 44 2.2.4. [2์ฐจ ์„ค๋ฌธ] ์„ฑ๊ณผ๋ฌผ ์‹คํšจ์„ฑ ์ œ๊ณ  ์š”์ธ ๋ถ„์„ ์œ„ํ•œ ์ถ”๊ฐ€ ์ธํ„ฐ๋ทฐ 45 3. ๋ถ„์„ ๊ฒฐ๊ณผ 47 3.1. ๋ฌธํ—Œ์กฐ์‚ฌ 47 3.1.1. ํ™˜๊ฒฝ๋ถ€ R&D ๊ด€๋ฆฌ ์ฒด๊ณ„ ๋ถ„์„ 47 3.1.2. ๊ธฐํ›„๋ณ€ํ™” R&D ์„ฑ๊ณผ๋ฌผ ์‹คํšจ์„ฑ ํ‰๊ฐ€์— ๋Œ€ํ•œ ๋ฌธํ—Œ ์กฐ์‚ฌ 53 3.2. 1์ฐจ ์„ค๋ฌธ์กฐ์‚ฌ ๋ถ„์„ ๊ฒฐ๊ณผ 56 3.2.1. ์„ฑ๊ณผ๋ฌผ ์‹คํšจ์„ฑ์— ๊ด€ํ•œ ์‹คํƒœ์กฐ์‚ฌ 56 3.2.2. ์ œ๊ณ  ์š”์ธ ์šฐ์„ ์ˆœ์œ„ ๋ถ„์„(AHP ๋ถ„์„) ๊ฒฐ๊ณผ 57 3.2.3. ์‹คํšจ์„ฑ ์ œ๊ณ ๋ฅผ ์œ„ํ•œ ์‹คํ–‰๋ฐฉ์•ˆ ์กฐ์‚ฌ(์ผ๋ฐ˜์„ค๋ฌธ) ๊ฒฐ๊ณผ 76 3.2.4. 1์ฐจ ์„ค๋ฌธ์กฐ์‚ฌ ์ข…ํ•ฉ ์‹œ์‚ฌ์  80 3.3. 2์ฐจ ์„ค๋ฌธ์กฐ์‚ฌ ๋ถ„์„ ๊ฒฐ๊ณผ 82 3.3.1. 2์ฐจ ์„ค๋ฌธ์กฐ์‚ฌ ์ข…ํ•ฉ ์‹œ์‚ฌ์  84 3.4. ๊ฒฐ๊ณผ ์š”์•ฝ ๋ฐ ์‹œ์‚ฌ์  85 4. ๊ฒฐ๋ก  ๋ฐ ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„ 89 4.1. ์‹คํšจ์„ฑ ์ œ๊ณ  ์œ„ํ•œ R&D ๋‹จ๊ณ„๋ณ„ ์ •์ฑ…์  ์ œ์–ธ 89 4.1.1. R&D ๊ธฐํš ๋‹จ๊ณ„ 89 4.1.2. ์—ฐ๊ตฌ๊ฐœ๋ฐœ ๋ฐ ๊ด€๋ฆฌ๋‹จ๊ณ„ 90 4.1.3. ํ™œ์šฉยทํ™•์‚ฐ ๋‹จ๊ณ„ 91 4.2. ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„์  94 ์ฐธ๊ณ ๋ฌธํ—Œ 95 Abstract 99 ๋ถ€๋ก1. ๊ธฐํ›„๋ณ€ํ™” ๋Œ€์‘ ํ™˜๊ฒฝ๊ธฐ์ˆ ๊ฐœ๋ฐœ์‚ฌ์—… ๊ณผ์ œ๋ณ„ ์„ฑ๊ณผ 103 ๋ถ€๋ก2. 1์ฐจ ์„ค๋ฌธ์„œ ์–‘์‹[์ตœ์ข…] 105 ๋ถ€๋ก3. 2์ฐจ ์„ค๋ฌธ์„œ ์–‘์‹[์ตœ์ข…] 130์„
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