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    ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ์ •์ฑ…์— ๊ด€ํ•œ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ํ–‰์ •๋Œ€ํ•™์› ํ–‰์ •ํ•™๊ณผ, 2017. 8. ์ •๊ด‘ํ˜ธ.๊ตญ๋ฌธ์ดˆ๋ก 2012๋…„ ๊ฒฝ์ œ๋ฏผ์ฃผํ™” ๋ฐ”๋žŒ๊ณผ ํ•จ๊ป˜ ๋ณธ๊ฒฉ์ ์œผ๋กœ ๋„์ž…๋œ ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ์™€ ๊ด€๋ จ ๊ทธ ์ ์ ˆ์„ฑ๊ณผ ์‹คํšจ์„ฑ์— ๋Œ€ํ•œ ๋…ผ์˜๊ฐ€ ์ง€์†๋˜๊ณ  ์žˆ๋‹ค. ํ•˜์ง€๋งŒ ์•„์ง ์ด์— ๋Œ€ํ•œ ์‹ค์ฆ๋ถ„์„์€ ์ถฉ๋ถ„ํ•˜์ง€ ์•Š๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ๊ฐ€ ๋Œ€ํ˜•๋งˆํŠธ์™€ ์ „ํ†ต์‹œ์žฅ์— ๋ฏธ์นœ ์˜ํ–ฅ์„ ์‚ดํŽด๋ณด๊ณ  ์žˆ๋‹ค. ์ด๋ฅผ ์œ„ํ•˜์—ฌ Q๋ฐฉ๋ฒ•๋ก ์„ ํ™œ์šฉํ•ด ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ๋ฅผ ๋‘˜๋Ÿฌ์‹ผ ์ดํ•ด๊ด€๊ณ„์ž์˜ ๋‹ค์–‘ํ•œ ๊ด€์ ์„ ๋ถ„์„ํ–ˆ๊ณ , ์ „๊ตญ 142๊ฐœ ์ด๋งˆํŠธ ์ ํฌ์˜ 2011๋…„ 1์›” 2์ผ~2013๋…„ 11์›” 24์ผ๊นŒ์ง€์˜ ์ด 154๊ฐœ ์ฃผ๋ณ„ ๋งค์ถœ์•ก ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•ด ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ์˜ ์˜ํ–ฅ์„ ์‹ค์ฆ๋ถ„์„ํ–ˆ๋‹ค. ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ ๋„์ž…์ด ์ „ํ†ต์‹œ์žฅ์˜ ์ƒ์  ์ˆ˜, ์ƒ์ธ ์ˆ˜, ์ „ํ†ต์‹œ์žฅ ์ˆ˜ ๋“ฑ์— ๋ฏธ์นœ ์˜ํ–ฅ ๋ถ„์„์„ ํ†ตํ•ด์„œ ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ๊ฐ€ ์ „ํ†ต์‹œ์žฅ์— ๋ฏธ์นœ ์˜ํ–ฅ์„ ์‚ดํŽด๋ณด์•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๋ถ„์„๊ฒฐ๊ณผ๋ฅผ ์‚ดํŽด๋ณด๋ฉด ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, Q๋ฐฉ๋ฒ•๋ก ์„ ํ™œ์šฉํ•ด์„œ ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ์™€ ๊ด€๋ จ ์ด 6๊ฐœ์˜ ์ธ์‹์œ ํ˜•์ด ๋„์ถœ๋˜์—ˆ๋‹ค. ์šฐ์„  ๋Œ€๋ฆฝ์  ๊ฒฌํ•ด์ธ ๋Œ€ํ˜•๋งˆํŠธ์˜์—…๊ถŒ ์นจํ•ด๋ก ๊ณผ ์ค‘์†Œ์ƒ์ธ์‹œ์žฅ๋ณดํ˜ธ๋ก ์ด ๋„์ถœ๋˜์—ˆ๋‹ค. ์—ฌ๊ธฐ์— ๊ทœ์ œ์˜ ํ•„์š”์„ฑ์„ ์ธ์ •ํ•˜๊ธด ํ•˜์ง€๋งŒ ๊ทœ์ œ ์ž์ฒด๊ฐ€ ๊ธฐ๋Œ€๋งŒํผ์˜ ํšจ๊ณผ๋ฅผ ๋ฐœํœ˜ํ•˜์ง€ ๋ชปํ•œ๋‹ค๋Š” ์‹œ์žฅํ˜„์‹ค๋ก ๊ณผ ๊ทœ์ œ์˜ ํ•„์š”์„ฑ์„ ๊ฐ•์กฐํ•˜๋ฉด์„œ๋„ ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ๊ฐ€ ์ „ํ†ต์‹œ์žฅ์˜ ์ž์ƒ๋ ฅ ์•…ํ™”๋ฅผ ์ดˆ๋ž˜ํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ์ ์„ ์ธ์ •ํ•˜๋Š” ์†Œ์ƒ๊ณต์ธ์ž์˜์—…์ž ๋ณดํ˜ธ๋ก ๋„ ํ™•์ธํ–ˆ๋‹ค. ๊ทœ์ œ๋ถ€์ž‘์šฉ๋ก ์€ ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ๊ฐ€ ๋Œ€ํ˜•๋งˆํŠธ์˜ ์ผ์ž๋ฆฌ ์ฐฝ์ถœ์„ ๋ง‰์„ ๋ฟ ์•„๋‹ˆ๋ผ ์‹œ์žฅ ์ž์ฒด์˜ ๊ฒฝ์Ÿ๋ ฅ๋„ ์•ฝํ™”์‹œํ‚จ๋‹ค๊ณ  ์ฃผ์žฅํ•œ๋‹ค. ์—ฌ๊ธฐ์— ๊ทœ์ œ๋ฌด์šฉ๋ก ์€ ๊ทœ์ œ์˜ ํšจ๊ณผ ์ž์ฒด๊ฐ€ ํฌ์ง€ ์•Š๋‹ค๋Š” ์ž…์žฅ์ด๋‹ค. ๋‘˜์งธ, ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ์˜ ๋„์ž… ์ „ํ›„๋ฅผ ๊ธฐ์ค€์œผ๋กœ ๊ทธ ํšจ๊ณผ๋ฅผ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ ๊ทœ์ œ๋Š” ์ „๊ตญ 142๊ฐœ ์ด๋งˆํŠธ ์ ํฌ ๋งค์ถœ์„ ํ‰๊ท  5.16%~11.15% ๊ฐ์†Œ์‹œํ‚ค๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋Œ€ํ˜•๋งˆํŠธ๋Š” ๊ทœ์ œ๋กœ ์ธํ•ด ์›” 2ํšŒ์˜ ์˜์—…์ผ์ˆ˜๊ฐ€ ์ค„์–ด๋“ค๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ๋‹ค๋งŒ ์ด์ค‘์ฐจ์ด๋ถ„์„(DID) ๊ฒฐ๊ณผ ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ๋Š” ๋Œ€ํ˜•๋งˆํŠธ ๋งค์ถœ์— ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜๋ฏธํ•œ ์˜ํ–ฅ์„ ์ฃผ์ง€ ๋ชปํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด๋Š” ๋Œ€ํ˜•๋งˆํŠธ ์—…์ฒด๋“ค์˜ ์ ๊ทน์ ์ธ ๋งˆ์ผ€ํŒ… ๋…ธ๋ ฅ๊ณผ ๊ทœ์ œ์— ๋”ฐ๋ฅธ ์†Œ๋น„์ž๋“ค์˜ ์‡ผํ•‘ํŒจํ„ด ๋ณ€ํ™”, ๊ทธ๋ฆฌ๊ณ  ์˜จ๋ผ์ธ ์‡ผํ•‘ ์„ฑ์žฅ ๊ฐ™์€ ์‹œ์žฅํ™˜๊ฒฝ ๋ณ€ํ™” ๋“ฑ์ด ๋ณตํ•ฉ์ ์œผ๋กœ ์ž‘์šฉํ–ˆ๊ธฐ ๋•Œ๋ฌธ์œผ๋กœ ๋ณด์ธ๋‹ค. ์ •๋ถ€์˜ ์ธ์œ„์ ์ธ ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ๋งŒ์œผ๋กœ๋Š” ์‹œ์žฅ ์ฐธ์—ฌ์ž์™€ ์‹œ์žฅ์˜ ํ๋ฆ„์„ ๋งˆ์Œ๋Œ€๋กœ ์ œ์–ดํ•  ์ˆ˜ ์—†๋‹ค๋Š” ๋ฐฉ์ฆ์ด๊ธฐ๋„ ํ•˜๋‹ค. ์…‹์งธ, ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ๊ฐ€ ๋Œ€ํ˜•๋งˆํŠธ ์ ํฌ ๋งค์ถœ์— ๋ฏธ์นœ ์˜ํ–ฅ์€ ์ง€์—ญ๋ณ„๋กœ ๋‹ค๋ฅด๊ฒŒ ๋‚˜ํƒ€๋‚˜๊ณ  ์žˆ๋‹ค. ์ด์ค‘์ฐจ์ด๋ถ„์„(DID) ๊ฒฐ๊ณผ ์„œ์šธ๊ณผ ๊ฒฝ๊ธฐ์˜ ๊ฒฝ์šฐ ๊ทœ์ œ๊ฐ€ ๋Œ€ํ˜•๋งˆํŠธ ์ ํฌ๋งค์ถœ์— ๋ฏธ์นœ ์˜ํ–ฅ์ด ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜๋ฏธํ•˜์ง€ ์•Š์•˜๋‹ค. ์ด๋Š” ์„œ์šธ์„ ๋น„๋กฏํ•œ ์ˆ˜๋„๊ถŒ์€ ๋Œ€ํ˜•๋งˆํŠธ๋ฅผ ๋น„๋กฏํ•œ ๊ธฐ์กด ์˜คํ”„๋ผ์ธ ์œ ํ†ต์—…๊ณ„๊ฐ€ ๊ฐ€์žฅ ๋งŽ์€ ์ ํฌ์™€ ๋งˆ์ผ€ํŒ… ์—ญ๋Ÿ‰์„ ์ง‘์ค‘์‹œํ‚ค๋Š” ๊ณณ์ธ ๋™์‹œ์— ์˜จ๋ผ์ธ ์‡ผํ•‘ ์ด์šฉ์ด ๊ฐ€์žฅ ํ™œ๋ฐœํ•œ ์ง€์—ญ์ด๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ์ด๋กœ ์ธํ•ด ๊ทœ์ œ์˜ ํšจ๊ณผ๊ฐ€ ์ƒ๋‹น ๋ถ€๋ถ„ ํฌ์„๋œ ๊ฒƒ์ด๋‹ค. ๋„ท์งธ, ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ๋Š” ์ „ํ†ต์‹œ์žฅ์— ๊ธ์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์นœ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚˜๊ณ  ์žˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค๋ฉด, 142๊ฐœ ์ด๋งˆํŠธ ์ ํฌ๊ฐ€ ์œ„์น˜ํ•œ ์ „๊ตญ 106๊ฐœ ๊ธฐ์ดˆ ์ง€์ž์ฒด๋ฅผ ๋Œ€์ƒ์œผ๋กœ ์‚ดํŽด๋ณธ ๊ฒฐ๊ณผ ๊ทœ์ œ ๋„์ž… ์ด์ „๋ณด๋‹ค ๊ทœ์ œ ๋„์ž… ์ดํ›„์— ์ƒ์ธ ์ˆ˜๋Š” 2.56%, ์ „ํ†ต์‹œ์žฅ ์ˆ˜๋Š” 11.7%๊ฐ€ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜๋ฏธํ•˜๊ฒŒ ์ฆ๊ฐ€ํ–ˆ๋‹ค. ์ด์ค‘์ฐจ์ด๋ถ„์„(DID) ๊ฒฐ๊ณผ๋„ ๊ทœ์ œ ๋„์ž… ์ดํ›„ ์ƒ์ ์€ 11.41%, ์ƒ์ธ์€ 12.49%, ์‹œ์žฅ ์ˆ˜๋Š” 11.52%๊ฐ€ ๊ฐ๊ฐ ์ฆ๊ฐ€ํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ํ•˜์ง€๋งŒ ๊ฐ™์€ ๊ธฐ๊ฐ„ ๋™์•ˆ ์ „๊ตญ ์ „์ฒด ๊ธฐ์ดˆ์ง€์ž์ฒด 235๊ฐœ๋ฅผ ๋Œ€์ƒ์œผ๋กœ ํ•œ ์†Œ์ƒ๊ณต์ธ์‹œ์žฅ์ง„ํฅ๊ณต๋‹จ์˜ ์‹คํƒœ์กฐ์‚ฌ์— ๋”ฐ๋ฅด๋ฉด ์ „์ฒด ์ „ํ†ต์‹œ์žฅ ์ˆ˜์™€ ์ด ์‹œ์žฅ ์ƒ์ธ ์ˆ˜๋Š” ์†Œํญ ๊ฐ์†Œํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚˜๊ณ  ์žˆ๋‹ค. ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ๊ฐ€ ์ „ํ†ต์‹œ์žฅ์— ๋ฏธ์นœ ํšจ๊ณผ๋„ ์ง€์—ญ๋ณ„๋กœ ๋‹ค๋ฅด๊ฒŒ ๋‚˜ํƒ€๋‚œ๋‹ค. ํ•œ ์˜ˆ๋กœ ๊ฒฝ์Ÿ์ด ๊ฐ€์žฅ ์น˜์—ดํ•œ ์„œ์šธ์€ ๊ทœ์ œ ๋„์ž… ์ดํ›„์— ์ƒ์  ์ˆ˜๋Š” โ€“51.12%, ์ƒ์ธ ์ˆ˜๋Š” โ€“48.55%๊ฐ€ ๊ฐ๊ฐ ๊ฐ์†Œํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ์˜ ๋ถ„์„ ๊ฒฐ๊ณผ๋กœ ๋‚˜ํƒ€๋‚œ ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ์˜ ํšจ๊ณผ๊ฐ€ ์ˆœ์ˆ˜ํžˆ ๊ทœ์ œ ๋งŒ์˜ ํšจ๊ณผ์ธ์ง€๋Š” ์ถ”๊ฐ€์ ์ธ ๋ถ„์„์ด ํ•„์š”ํ•˜๋‹ค. ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ ๋„์ž… ์‹œ๊ธฐ๋ฅผ ์ „ํ›„ํ•ด ์ •๋ถ€๋Š” ์ค‘์†Œ์ƒ๊ณต์ธ๊ณผ ์ „ํ†ต์‹œ์žฅ ์ง€์›์— 1์กฐ์› ๊ฐ€๊นŒ์šด ์˜ˆ์‚ฐ์„ ํˆฌ์ž…ํ–ˆ๋‹ค. ํ•˜์ง€๋งŒ ์ „ํ†ต์‹œ์žฅ ๋งค์ถœ์•ก(์ถ”์ •์น˜)์€ 2012๋…„ 2012๋…„ 20์กฐ1000์–ต ์›์—์„œ 2015๋…„ 21์กฐ1000์–ต ์›์œผ๋กœ 1์กฐ์›์ด ๋Š˜์–ด๋‚˜๋Š”๋ฐ ๊ทธ์ณค๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์€ ํ•™์ˆ ์ ใ†์ •์ฑ…์  ์˜๋ฏธ๋ฅผ ๊ฐ–๊ณ  ์žˆ๋‹ค. ์ฒซ์งธ, ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ๋ฅผ ๋‘˜๋Ÿฌ์‹ผ ๋‹ค์–‘ํ•œ ์‹œ์„ ์ด ์กด์žฌํ•˜๊ณ  ์žˆ์Œ์„ Q๋ฐฉ๋ฒ•๋ก ์„ ํ†ตํ•ด ํ™•์ธํ–ˆ๋‹ค. ๋”ฐ๋ผ์„œ ์ฐฌ-๋ฐ˜ ์–‘๋ก ์œผ๋กœ๋งŒ ๊ทœ์ œ๋ฅผ ์ดํ•ดํ•ด์„  ๋‹ค์–‘ํ•œ ๊ทœ์ œ ์ˆ˜์š”์ž์™€ ๋Œ€์ƒ์ž์˜ ์š”๊ตฌ๋ฅผ ์ถฉ์กฑ์‹œํ‚ฌ ์ˆ˜ ์—†์„ ๊ฒƒ์ด๋‹ค. ๋‘˜์งธ, ์ •๋ถ€์˜ ์ธ์œ„์ ์ธ ์‹œ์žฅ๊ทœ์ œ๋ฅผ ํ†ตํ•ด ์‹œ์žฅ ์ง„ํ™” ๋ฐฉํ–ฅ๊ณผ ์†Œ๋น„์ž์˜ ์„ ํƒ์„ ๋ฐ”๊พธ๋ ค๋Š” ์‹œ๋„๋Š” ์‚ฌ์‹ค์ƒ ๋ถˆ๊ฐ€๋Šฅํ•จ์„ ๊ฑฐ๋“ญ ํ™•์ธํ–ˆ๋‹ค. ์ด์ค‘์ฐจ์ด๋ถ„์„(DID) ๊ฒฐ๊ณผ ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ๋Š” ๋Œ€ํ˜•๋งˆํŠธ ๋งค์ถœ์— ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜๋ฏธํ•œ ์˜ํ–ฅ์„ ์ฃผ์ง€ ๋ชปํ–ˆ๋‹ค. ๊ทœ์ œ๋กœ ์ธํ•ด ์˜์—…์ผ์ด ์ค„์–ด๋“  ๋งŒํผ ๋งค์ถœ์ด ๊ฐ์†Œํ–ˆ์„ ๋ฟ์ด๋‹ค. ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ์˜ ๋ชฉํ‘œ๋Š” ๋Œ€ํ˜•๋งˆํŠธ์˜ ๋งค์ถœ ๊ฐ์†Œ๊ฐ€ ์•„๋‹ˆ๋ผ ๋Œ€ํ˜•๋งˆํŠธ ๋งค์ถœ ๊ฐ์†Œ๋ถ„์˜ ์ „ํ†ต์‹œ์žฅ์œผ๋กœ์˜ ์ด์ „์ด๋‹ค. ์…‹์งธ, ๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋Š” ๋™์ผํ•œ ๊ทœ์ œ๋ผ๋„ ๊ทธ ํšจ๊ณผ๊ฐ€ ์ง€์—ญ์— ๋”ฐ๋ผ ๋‹ค๋ฅด๊ฒŒ ๋‚˜ํƒ€๋‚œ๋‹ค๋Š” ์ ์„ ๋ณด์—ฌ์ฃผ๊ณ  ์žˆ๋‹ค. ์ด๋Š” ๊ฐ ์ง€์—ญ ์‚ฌ์ •์— ๋งž๋Š” ๊ทœ์ œ๋‚˜ ์ •์ฑ… ๋„์ž…์˜ ํ•„์š”์„ฑ์„ ํ™˜๊ธฐ์‹œํ‚จ๋‹ค. ์ฃผ์š”์–ด : ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ, ์œ ํ†ต์‚ฐ์—…๋ฐœ์ „๋ฒ•, ์ „ํ†ต์‹œ์žฅ, ์ด๋งˆํŠธ, ์˜จ๋ผ์ธ ์‡ผํ•‘, ์ด์ค‘์ฐจ์ด๋ถ„์„ ํ•™ ๋ฒˆ : 2008-30660์ œ 1 ์žฅ ์„œ๋ก  1 ์ œ1์ ˆ ์—ฐ๊ตฌ์˜ ๋ชฉ์ ๊ณผ ์˜์˜ 1 ์ œ2์ ˆ ์—ฐ๊ตฌ์˜ ๋ฒ”์œ„์™€ ๋ฐฉ๋ฒ• 5 ์ œ3์ ˆ ๋ณธ ์—ฐ๊ตฌ์˜ ๋ถ„์„ํ‹€ 7 ์ œ 2 ์žฅ ์ด๋ก ์  ๋…ผ์˜์™€ ์„ ํ–‰์—ฐ๊ตฌ ๊ฒ€ํ†  8 ์ œ1์ ˆ ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ์˜ ์ด๋ก ์  ๋…ผ์˜ 8 1. ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ์˜ ๊ธฐ๋Œ€ํšจ๊ณผ 8 2. ๊ณต๊ณต์„ ํƒ์ด๋ก ์˜ ๊ด€์ ์—์„œ ๋ณธ ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ 11 3. ๋Œ€ํ˜•๋งˆํŠธ ์ž…์ ์˜ ่ซธ ์˜ํ–ฅ 13 1) ๋Œ€ํ˜•๋งˆํŠธ๊ฐ€ ์ œํ’ˆ๊ฐ€๊ฒฉ๊ณผ ๋ฌผ๊ฐ€์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ 13 2) ๋Œ€ํ˜•๋งˆํŠธ๊ฐ€ ๊ฒฝ์Ÿ๊ณผ ์†Œ๋น„์ž ์ด์ต์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ 18 3) ๋Œ€ํ˜•๋งˆํŠธ๊ฐ€ ์ด์›ƒ ์ƒ๊ถŒ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ 21 4) ๋Œ€ํ˜•๋งˆํŠธ๊ฐ€ ์‚ฌํšŒ์  ์ž๋ณธ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ 26 ์ œ2์ ˆ ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ์˜ ์ „๊ฐœ 28 1. ๊ตญ๋‚ด์—์„œ์˜ ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ 30 2. ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ ํ•ด์™ธ์‚ฌ๋ก€ 35 ์ œ3์ ˆ ์„ ํ–‰์—ฐ๊ตฌ ๊ฒ€ํ†  37 1. ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ์˜ ์ •์น˜ใ†์‚ฌํšŒ์  ๋ฐฐ๊ฒฝ 37 2. ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ๋ฅผ ๋‘˜๋Ÿฌ์‹ผ ๊ด€์  39 3. ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ๊ฐ€ ๋Œ€ํ˜•๋งˆํŠธ์™€ ์ „ํ†ต์‹œ์žฅ์— ๋ฏธ์นœ ์˜ํ–ฅ 41 1) ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ๊ฐ€ ๋Œ€ํ˜•๋งˆํŠธ์— ๋ฏธ์นœ ์˜ํ–ฅ 41 2) ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ๊ฐ€ ์ „ํ†ต์‹œ์žฅ์— ๋ฏธ์นœ ์˜ํ–ฅ 43 ์ œ4์ ˆ ์„ ํ–‰์—ฐ๊ตฌ์˜ ํ•œ๊ณ„ 45 1. ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ์— ๋Œ€ํ•œ ๊ด€์ ์˜ ๋ฌธ์ œ 45 2. ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œํšจ๊ณผ ์‹ค์ฆ๋ถ„์„์˜ ํ•œ๊ณ„ 47 1) ๊ธฐ์กด ์—ฐ๊ตฌ ์ž๋ฃŒ ํƒ€๋‹น์„ฑ ๋ฌธ์ œ 47 2) ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ ์˜ํ–ฅ์˜ ์ „๊ตญ๋‹จ์œ„ ์—ฐ๊ตฌ ๋ถ€์žฌ 48 3) ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ๊ฐ€ ์ „ํ†ต์‹œ์žฅ์— ๋ฏธ์นœ ํšจ๊ณผ ๋ถ„์„ ๋ถ€์กฑ 50 3. ๋ณธ ์—ฐ๊ตฌ์˜ ์˜์˜ 51 ์ œ 3 ์žฅ ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ๊ด€๋ จ ๊ด€์  ๋ถ„์„ 54 ์ œ1์ ˆ ๊ธฐ์กด ๊ด€์  ๋ฐ ๋ถ„์„ํ‹€ 54 1. ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ๋ฅผ ๋‘˜๋Ÿฌ์‹ผ ๊ธฐ์กด ๊ด€์  54 2. Q๋ฐฉ๋ฒ•๋ก  ๋ถ„์„ํ‹€๊ณผ ์‹ค์ฆ๋ถ„์„ 58 1) Q๋ฐฉ๋ฒ•๋ก  58 2) ์ž๋ฃŒ์ˆ˜์ง‘ ๋ฐ ๋ถ„์„ํ‹€ 59 ์ œ2์ ˆ ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ์˜ ์ƒˆ๋กœ์šด ๊ด€์  61 1. ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ์— ๋Œ€ํ•œ ๋ณด๋‹ค ๋‹ค์–‘ํ•œ ๊ด€์  61 2. Q๋ฐฉ๋ฒ•๋ก  ๋ถ„์„๊ฒฐ๊ณผ 64 ์ œ 4 ์žฅ ์—ฐ๊ตฌ๊ฐ€์„ค ๋ฐ ์—ฐ๊ตฌ์„ค๊ณ„ 75 ์ œ1์ ˆ ์—ฐ๊ตฌ๊ฐ€์„ค 75 1. ๊ทœ์ œ๊ฐ€ ๋Œ€ํ˜•๋งˆํŠธ ๋งค์ถœ๊ณผ ์ „ํ†ต์‹œ์žฅ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ 75 2. ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œํšจ๊ณผ์˜ ์ง€์—ญ๋ณ„ ์ฐจ์ด 81 ์ œ2์ ˆ ์ž๋ฃŒ์ˆ˜์ง‘๊ณผ ์ธก์ • 83 1. ์ด์ค‘์ฐจ์ด๋ถ„์„(DID)์„ ํ†ตํ•œ ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œํšจ๊ณผ ์ธก์ • 83 2. ์กฐ์ž‘์  ์ •์˜์™€ ์ธก์ • 86 1) ์ข…์†๋ณ€์ˆ˜ 86 2) ๋…๋ฆฝ๋ณ€์ˆ˜ 87 3) ํ†ต์ œ๋ณ€์ˆ˜ 91 3. ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ์˜ ๋„์ž… ํšจ๊ณผ ์‹ค์ฆ ๋ถ„์„ 94 1) ๊ทœ์ œ๊ฐ€ ๋Œ€ํ˜•๋งˆํŠธ ๋งค์ถœ์— ๋ฏธ์นœ ์˜ํ–ฅ ๋ถ„์„๋ชจํ˜• 94 2) ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ๊ฐ€ ์ „ํ†ต์‹œ์žฅ์— ๋ฏธ์นœ ์˜ํ–ฅ ๋ถ„์„๋ชจํ˜• 97 3) ๋ถ„์„๋ชจํ˜•์— ํฌํ•จ๋œ ๋ณ€์ˆ˜์˜ ์ธก์ • ์ง€ํ‘œ 100 ์ œ 5 ์žฅ ๋ถ„์„๊ฒฐ๊ณผ ๋ฐ ๋…ผ์˜ 102 ์ œ1์ ˆ ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ์˜ ์ „๊ตญ ๋‹จ์œ„ ํšจ๊ณผ 102 1. ๊ทœ์ œ๊ฐ€ ๋Œ€ํ˜•๋งˆํŠธ ์ „๊ตญ ์ ํฌ ๋งค์ถœ์— ๋ฏธ์นœ ์˜ํ–ฅ 102 1) ์ „์ฒดํšจ๊ณผ: 2011๋…„-13๋…„(๋ชจํ˜• 4-1, 4-2) 102 2) ์ผ๋ถ€ ์ ํฌ์— ๋ฏธ์นœ ํšจ๊ณผ: 2011๋…„-13๋…„ 106 3) ์‹คํ—˜์ง‘๋‹จ๋ณ„ ํšจ๊ณผ: DID 108 4) ์†Œ๊ฒฐ: ๊ทœ์ œ๊ฐ€ ๋Œ€ํ˜•๋งˆํŠธ ์ „๊ตญ ์ ํฌ ๋งค์ถœ์— ๋ฏธ์นœ ์˜ํ–ฅ 111 2. ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ๊ฐ€ ์ „๊ตญ ์ „ํ†ต์‹œ์žฅ์— ๋ฏธ์นœ ์˜ํ–ฅ 112 1) ๊ทœ์ œ๊ฐ€ ์ „ํ†ต์‹œ์žฅ์— ๋ฏธ์นœ ์˜ํ–ฅ: ๊ทœ์ œ๋„์ž… ์ „ํ›„ 112 2) ๊ทœ์ œ๊ฐ€ ์ „ํ†ต์‹œ์žฅ์— ๋ฏธ์นœ ์˜ํ–ฅ: DID 114 ์ œ2์ ˆ ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ์˜ ์ง€์—ญ๋ณ„ ํšจ๊ณผ 115 1. ๊ทœ์ œ๊ฐ€ ๋Œ€ํ˜•๋งˆํŠธ ๋งค์ถœ์— ๋ฏธ์นœ ์˜ํ–ฅ(์ง€์—ญ๋ณ„ ํšจ๊ณผ) 115 1) ๊ฒฝ๊ธฐ 116 2) ์„œ์šธ 118 3) ์†Œ๊ฒฐ 120 2. ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ๊ฐ€ ์ „ํ†ต์‹œ์žฅ์— ๋ฏธ์นœ ์˜ํ–ฅ(์ง€์—ญ๋ณ„ ํšจ๊ณผ) 121 1) ๊ฐ•์› 121 2) ๊ฒฝ๊ธฐ 122 3) ๊ฒฝ๋ถ 124 4) ์„œ์šธ 125 5) ์ธ์ฒœ 127 6) ์†Œ๊ฒฐ 128 ์ œ 5 ์žฅ ๊ฒฐ๋ก  ๋ฐ ์ •์ฑ…์  ํ•จ์˜ 130 ์ œ1์ ˆ ์—ฐ๊ตฌ๊ฒฐ๊ณผ ์ •๋ฆฌ ๋ฐ ์ œ์‹œ 130 1. ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ๋ฅผ ๋ฐ”๋ผ๋ณด๋Š” ๊ด€์  130 2. ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ๊ฐ€ ๋Œ€ํ˜•๋งˆํŠธ ๋งค์ถœ์— ๋ฏธ์นœ ์˜ํ–ฅ 132 3. ๋Œ€ํ˜•๋งˆํŠธ ๊ทœ์ œ๊ฐ€ ์ „ํ†ต์‹œ์žฅ์— ๋ฏธ์นœ ์˜ํ–ฅ 135 ์ œ2์ ˆ ํ•™๋ฌธ์  ํ•จ์˜ ๋ฐ ์ •์ฑ…์  ์‹œ์‚ฌ์  137 ์ œ3์ ˆ ๋ณธ ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„ ๋ฐ ์ถ”ํ›„ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ 140 1. ๋ณธ ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„ 140 2. ์ถ”ํ›„ ์—ฐ๊ตฌ๋ฐฉํ–ฅ 141 ์ฐธ๊ณ ๋ฌธํ—Œ 142 [๋ถ€๋ก1] Q-์ง„์ˆ ๋ฌธ 153 [๋ถ€๋ก2] ์ด๋งˆํŠธ ์ ํฌ์˜ ์‹คํ—˜1, 2 ๋ฐ ํ†ต์ œ์ง‘๋‹จ ๊ตฌ๋ถ„ 156 [๋ถ€๋ก3] ์ „ํ†ต์‹œ์žฅ ์†Œ์žฌ ๊ธฐ์ดˆ์ง€์ž์ฒด์˜ ํ†ต์ œ, ์‹คํ—˜์ง‘๋‹จ ๊ตฌ๋ถ„ 159 [๋ถ€๋ก4] ๋ณธ ๋…ผ๋ฌธ ์ฝ”๋”ฉํ‘œ ๋ฐ ์ฃผ์š” ์ž๋ฃŒ ์ถœ์ฒ˜ 162 [๋ถ€๋ก5] ํด๋Ÿฌ์Šคํ„ฐ ๋ถ„์„ ๊ฒฐ๊ณผ 165 [๋ถ€๋ก6] ์ƒ๊ด€๊ด€๊ณ„ ๋ถ„์„ ๊ฒฐ๊ณผ 168 Abstract 171Docto

    The Impact of Sejong City on the Population Migration in the Adjacent Municipalities and the Capital Region - Focused on the Shift-Share Analysis Using the 2006-2016 Population

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    ์„ธ์ข…์‹œ ๋ฐ ํ˜์‹ ๋„์‹œ ์‚ฌ์—…์€ ๊ณต๊ณต๊ธฐ๊ด€์˜ ์ง€๋ฐฉ์ด์ „์„ ํ†ตํ•ด ์ˆ˜๋„๊ถŒ์˜ ๊ธฐ๋Šฅ์„ ๋ถ„์‚ฐ์‹œํ‚ค๊ณ , ์ง€๋ฐฉ์˜์„ฑ์žฅ ๊ฑฐ์ ์œผ๋กœ ์‚ผ์•„, ๊ถ๊ทน์ ์œผ๋กœ๋Š” ๊ตญ๊ฐ€๊ท ํ˜•๋ฐœ์ „์—์ด๋ฐ”์ง€ํ•˜๋Š” ๊ฒƒ์„ ๋ชฉ์ ์œผ๋กœ ์ง„ํ–‰๋˜์—ˆ๋‹ค1). ํŠนํžˆ ์„ธ์ข…์‹œ๋Š” ๊ตญํ†  ๊ท ํ˜•๋ฐœ์ „์„ ์œ„ํ•ด ์ง„ํ–‰๋˜๋Š” ๋„์‹œ์‚ฌ์—… ์ค‘๊ฐ€์žฅ ํฐ ๊ทœ๋ชจ๋กœ ์ด๋ฃจ์–ด์ง„ ๋Œ€ํ‘œ์ ์ธ ์‚ฌ๋ก€์ด๋‹ค. ๋”ฐ๋ผ์„œ ์„ธ์ข…์‹œ ์ถœ๋ฒ” ์ดํ›„ ์‹œ๊ฐ„์˜ ํ๋ฆ„์— ๋”ฐ๋ผ ์ˆ˜๋„๊ถŒ๋ฐ ์ฃผ๋ณ€์ง€์—ญ์˜ ์ธ๊ตฌ์ด๋™์— ๋ฏธ์นœ ์˜ํ–ฅ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•œ ์‹œ์ ์ด๋‹ค. ํŠนํžˆ ์„ธ์ข…์‹œ ์ถœ๋ฒ” ์ดํ›„ ์ˆ˜๋„๊ถŒ์˜ ์ธ๊ตฌ๊ฐ€ ๋ถ„์‚ฐ๋˜๊ณ  ์žˆ๋Š”์ง€, ๊ทธ๋ฆฌ๊ณ  ์„ธ์ข…์‹œ๊ฐ€ ์ฃผ๋ณ€์ง€์—ญ์˜ ์„ฑ์žฅ๊ฑฐ์  ์—ญํ• ์„ ์ˆ˜ํ–‰ํ•˜๊ณ  ์žˆ๋Š”์ง€๋ฅผ ํ‰๊ฐ€ํ•˜๋Š” ๊ฒƒ์€ ์„ฑ๊ณต์ ์ธ ์ •์ฑ… ๋ชฉ์  ๋‹ฌ์„ฑ์— ๋งค์šฐ ์ค‘์š”ํ•˜๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ด์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋Š” ๋งค์šฐ ๋“œ๋ฌธ ์‹ค์ •์ด๋ฉฐ, ์„ ํ–‰๋œ ์—ฐ๊ตฌ๋“ค ๋˜ํ•œ ๋ถ„์„์˜ ์‹œ๊ฐ„์ ·๊ณต๊ฐ„์  ๋ฒ”์œ„ ๋ฐ๋ฐฉ๋ฒ•๋ก  ์ธก๋ฉด์—์„œ ์—ฌ๋Ÿฌ ํ•œ๊ณ„์ ์„ ๊ฐ€์ง€๊ณ  ์žˆ๋‹ค.๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ๋Š” 2006๋…„๋ถ€ํ„ฐ 2016๋…„๊นŒ์ง€ ์ธ๊ตฌ์ด๋™ ์ž๋ฃŒ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์„ธ์ข…์‹œ ๊ฐœ๋ฐœ์ด ์„ธ์ข…์‹œ์™€ ์„ธ์ข…์‹œ ์ฃผ๋ณ€ ์‹œ๊ตฐ์ง€์—ญ์˜ ์ธ๊ตฌ์ด๋™์— ๋ฏธ์นœ ์˜ํ–ฅ๊ณผ ๋‚˜์•„๊ฐ€, ์ˆ˜๋„๊ถŒ์˜ ์ธ๊ตฌ๋ถ„์‚ฐ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๋ถ„์„ํ•˜๊ณ ์ •์ฑ…์  ์‹œ์‚ฌ์ ์„ ์ œ์‹œํ•˜๊ณ ์ž ํ•œ๋‹ค. This study analyzes the impact of a new administrative city of Sejong on the population migration in the capital region and adjacent municipalities. We conduct origin-destination analyses with population migration data over the period of 2006-2016. This study uses both descriptive and shift-share analyses to examine the impact of Sejong city on population migration. Main findings of our study are as follows. Results show that the completion of Sejong City has marginally affected population decentralization in the capital region.Although there has been a positive net-migration from the capital region to Sejong City since its completion in 2012, population in the capital region has gradually grown between 2006 and 2016. At the same time, Sejong City has absorbed more population from its adjacent municipalities, which resulted in a significant decline of net-migration into the adjacent municipalities. Finally, this study discusses policy implications for adjacent municipalities that experienced population decrease after the establishment of Sejong City

    Structural Relationship between Neighborhood Environment, Daily Walking Activity, and Subjective Health Status: Application of Path Model

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    This study focuses on the structural relationship between neighborhood environments, daily walking activities, and subjective health status using the 2016 survey data in Seoul, Korea. We utilized path model to examine the direct and indirect effects of neighborhood environment on daily walking activities and subjective health status. The results indicate that air quality satisfaction, subjectively measured mixed land use, the number of small retail shops and public transportation systems are very important factors that are associated with daily walking activities as well as subjective health status. In particular, air quality shows a direct effect on daily walking time. It has also direct and indirect effects on subjective health status. This finding indicates that air quality improvement should be a priority goal for promoting walking activities and subjective health status. Furthermore, this study also indicates that the neighborhood environmental factors have different effects on daily walking frequency and daily walking time, respectively. Although neighborhood vitality and neighborhood facilities have positive impacts on daily walking frequency, they are not statistically significant on daily walking time. Overall, this study identifies the structural relationship between neighborhood environments, daily walking activities, and subjective health status and suggests policy implications to promote daily walking activities and subjective health status.์ด ๋…ผ๋ฌธ์€ 2015๋…„๋„ ์ •๋ถ€(๋ฏธ๋ž˜์ฐฝ์กฐ๊ณผํ•™๋ถ€)์˜ ์žฌ์›์œผ๋กœ ํ•œ๊ตญ์—ฐ๊ตฌ์žฌ๋‹จ์˜ ์ง€์›์„ ๋ฐ›์•„ ์ˆ˜ํ–‰๋œ ์—ฐ๊ตฌ์ž„ (NRF-2015R1A2A2A01006865)

    Analysis of the Effect of Carsharing on Transportation Usage from the Perspective of Sharing Economy: Focused on 2017 Incheon City Carsharing Survey

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    ์ตœ๊ทผ ๋“ค์–ด ์นด์…ฐ์–ด๋ง ๊ด€๋ จ ์—ฐ๊ตฌ๊ฐ€ ๋‹ค์–‘ํ•˜๊ฒŒ ์ง„ํ–‰๋˜์—ˆ์Œ์—๋„, ๊ณต์œ ๊ฒฝ์ œ ๊ด€์ ์—์„œ ํ˜„์žฌ ์นด์…ฐ์–ด๋ง ์„œ๋น„์Šค๋ฅผ ์‹ฌ๋„ ์žˆ๊ฒŒ ๊ณ ์ฐฐํ•˜๊ณ  ํ–ฅํ›„ ๋ฐœ์ „ ๋ฐฉํ–ฅ์„ ์ œ์‹œํ•œ์—ฐ๊ตฌ๋Š” ์ฐพ์•„๋ณด๊ธฐ ์–ด๋ ต๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์นด์…ฐ์–ด๋ง ์ด์šฉ์ž์˜ ๊ฐœ์ธ์ ·ํ™˜๊ฒฝ์  ํŠน์„ฑ์„ ์ œ์–ดํ•œ ์ƒํƒœ์—์„œ ์นด์…ฐ์–ด๋ง ์ด์šฉ ๋นˆ๋„๊ฐ€ ๊ตํ†ต์ˆ˜๋‹จ(์ž๊ฐ€์šฉ, ๋Œ€์ค‘๊ตํ†ต, ํƒ์‹œ) ์ด์šฉ ๋ณ€ํ™”์— ์–ด๋–ค ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”์ง€์‹ค์ฆ ๋ถ„์„ํ•˜๊ณ  ๊ทธ ํšจ๊ณผ๋ฅผ ํ‰๊ฐ€ํ•œ๋‹ค. ๋‚˜์•„๊ฐ€ ์ด๋ฅผ๋ฐ”ํƒ•์œผ๋กœ ํ–ฅํ›„ ์นด์…ฐ์–ด๋ง ๋ฐœ์ „ ๋ฐฉํ–ฅ์„ ์ œ์‹œํ•˜๋Š” ๊ฒƒ์ด ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์ด๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ธ์ฒœ์‹œ ์นด์…ฐ์–ด๋ง ํšŒ์›์„ ๋Œ€์ƒ์œผ๋กœ2017๋…„ 3์›” 21์ผ๋ถ€ํ„ฐ 28์ผ๊นŒ์ง€ 8์ผ๊ฐ„ ์‹ค์‹œํ•œ ์„ค๋ฌธ์กฐ์‚ฌ ๊ฒฐ๊ณผ๋ฅผ ํ™œ์šฉํ•œ๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ์˜ ๊ณต๊ฐ„์ ๋ฒ”์œ„๋Š” ์ธ์ฒœ์‹œ ์ „์—ญ, ์‹œ๊ฐ„์  ๋ฐฐ๊ฒฝ์€ 2017๋…„ 3์›”๋กœ๋ณผ ์ˆ˜ ์žˆ๋‹ค. ํ•˜์ง€๋งŒ ์„ค๋ฌธ์กฐ์‚ฌ์˜ ๊ฒฝ์šฐ ์ง€๊ธˆ๊นŒ์ง€ ์นด์…ฐ์–ด๋ง ์ด์šฉ์œผ๋กœ ๋ˆ„์ ํ•œ ์ด๋ฏธ์ง€์— ๊ทผ๊ฑฐํ•˜์—ฌ ๋‹ต๋ณ€ํ•˜๋ฏ€๋กœ ์ธ์ฒœ ์นด์…ฐ์–ด๋ง ์—…์ฒด ํšŒ์›์˜ ์นด์…ฐ์–ด๋ง ์ด์šฉ ๊ธฐ๊ฐ„๊ณผ ์นด์…ฐ์–ด๋ง ์ด์šฉ ์ง€์—ญ์„ ๋ณธ ์—ฐ๊ตฌ์˜ ์‹œ·๊ณต๊ฐ„์ ๋ฐฐ๊ฒฝ์œผ๋กœ๋„ ์ƒ๊ฐํ•  ์ˆ˜ ์žˆ๋‹ค.ํ•œํŽธ ์„ค๋ฌธ์กฐ์‚ฌ์—์„œ๋Š” ์นด์…ฐ์–ด๋ง ์ด์šฉ์ž์˜ ๊ฐœ์ธ์ · ๋ฌผ๋ฆฌ์  ํ™˜๊ฒฝ, ์นด์…ฐ์–ด๋ง ์ด์šฉ ๋นˆ๋„, ์นด์…ฐ์–ด๋ง ์ด์šฉํ›„ ๋‹ค๋ฅธ ๊ตํ†ต์ˆ˜๋‹จ ์ด์šฉ ๋ณ€ํ™” ๋“ฑ์˜ ์ •๋ณด๋ฅผ ์ข…ํ•ฉ์ ์œผ๋กœ ์งˆ๋ฌธํ•˜์—ฌ ๊ด€๋ จ ์ •๋ณด๋ฅผ ๊ตฌ๋“ํ–ˆ๋‹ค. This study analyzed the effects of carsharing on current and future use of transportation mode by using the results of questionnaire survey for carsharing users. We constructed regression models that reflect the car ownership and changes of user’s behavior after carsharing in terms of private transportation, public transportation, taxi, and future vehicle ownership plan using ordered logit and binary logit models. The analysis results indicate that carsharing not only reduces the private car usage, but also the use of public transportation or taxis. Especially, the results show that carsharing reduces the use of public transportation significantly among the three types of transportation mode. This result indicates the conflicting relationship between carsharing and public transportation policy. On the other hand, this study shows that carsharing leads to active responses of carsharing users such as sale of vehicles, abandonment of vehicle purchasing plans, etc. This finding indicates that carsharing is more likely to play a positive role in reducing car use and car ownership in the future

    A Study on the Effects of Individual and Household Characteristics and Built Environments on Resident’s Depression - Focused on the Community Health Survey 2013-2014 of Gyeonggi Province in Korea

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    ๋„์‹œ๋Š” ๋ฌผ๋ฆฌ์ ํ™˜๊ฒฝ๊ณผ ์ธ๊ตฌ·์‚ฌํšŒ·๊ฒฝ์ œ ๋“ฑ์˜ ๋ณต์žกํ•˜๊ณ  ๋‹ค์–‘ํ•œ ์š”์†Œ๋“ค์ด ์„ž์—ฌ ์žˆ๋Š” ๊ณต๊ฐ„์ด๋ฉฐ, ์‚ฌ๋žŒ๋“ค์˜ ์ •์‹ ๊ฑด๊ฐ•์—๋„ ์˜ํ–ฅ์„ ์ค„ ์ˆ˜ ์žˆ๋‹ค. ์‚ฌ๋žŒ๋“ค์˜ ์ •์‹ ๊ฑด๊ฐ•์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์ฃผ์š” ์š”์ธ์€ ์„ฑ๊ฒฉ, ์†Œ๋“, ์ง์—…, ๊ฐ€์กฑ๋“ค๊ณผ์˜ ๊ด€๊ณ„ ๋“ฑ ๋‚ด๋ถ€์  ์š”์ธ๊ณผ ๋ฌผ๋ฆฌ์ ํ™˜๊ฒฝ๊ณผ ๊ฐ™์€ ์™ธ๋ถ€์  ์š”์ธ์ด ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ์‚ฌ๋žŒ๋“ค์˜ ์šฐ์šธ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฐœ์ธ๊ณผ๊ฐ€๊ตฌํŠน์„ฑ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๊ทผ๋ฆฐ์˜ ๋ฌผ๋ฆฌ์  ํ™˜๊ฒฝ ํŠน์„ฑ์„๋ถ„์„ํ•˜์—ฌ ๊ฑฐ์ฃผ๋ฏผ์˜ ์ •์‹ ๊ฑด๊ฐ•์„ ์ฆ์ง„ํ•˜๊ธฐ ์œ„ํ•œ ์ •์ฑ…์  ์‹œ์‚ฌ์ ์„ ์ œ๊ณตํ•˜๋Š” ๊ฒƒ์ด๋‹ค. Depression is strongly associated with individual or household characteristics. However, the relationship between depression and physical environment have not been fully examined in urban planning. Therefore, this study aims to analyze the impact of neighborhood-level physical environment on resident’s depression. Using the Gyeonggi’s 2013-2014 Community Health Survey with neighborhood-level unit, this study employs multilevel regression model including individual and household factors as well as neighborhood-level built environment factors. The results of analysis are as follows. First, the prevalence of depression is higher in urban areas rather than rural areas. Second, resident’s depression shows a strong association with individual and household characteristics. In particular, the prevalence of depression is strongly associated with individual’s stress or overall health condition. Third, the high-rise buildings and mixed land uses with industrial use have negative effects on resident’s depression. Lastly, this study shows that neighborhood living facilities and public transportation services have very important roles in promoting residents’ mental health.ํ•œ์–‘๋Œ€ํ•™๊ต ๊ต๋‚ด์—ฐ๊ตฌ์ง€์›์‚ฌ์—…์œผ๋กœ ์—ฐ๊ตฌ๋˜์—ˆ์Œ(HY-2015๋…„๋„)

    The Relationship among Innovative Work Behaviors, Job Challenge, Learning Motivation, and Informal Learning Activities of R&D Workers in Large Corporations

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๋†์‚ฐ์—…๊ต์œก๊ณผ, 2017. 2. ์ด์ฐฌ.์ด ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ๋Œ€๊ธฐ์—… R&D ์ธ๋ ฅ์˜ ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™๊ณผ ์ง๋ฌด ๋„์ „์„ฑ ๋ฐ ํ•™์Šต๋™๊ธฐ์˜ ๊ด€๊ณ„์—์„œ ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™์˜ ๋งค๊ฐœํšจ๊ณผ๋ฅผ ๊ตฌ๋ช…ํ•˜๋Š” ๋ฐ ์žˆ๋‹ค. ๊ตฌ์ฒด์ ์ธ ๋ชฉํ‘œ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ๋Œ€๊ธฐ์—… R&D ์ธ๋ ฅ์˜ ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™, ์ง๋ฌด ๋„์ „์„ฑ, ํ•™์Šต๋™๊ธฐ, ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™ ์ˆ˜์ค€์„ ๊ตฌ๋ช…ํ•œ๋‹ค. ๋‘˜์งธ, ๋Œ€๊ธฐ์—… R&D ์ธ๋ ฅ์˜ ์ธ๊ตฌํ†ต๊ณ„ํ•™์  ํŠน์„ฑ์— ๋”ฐ๋ฅธ ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™๊ณผ ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™์˜ ์ˆ˜์ค€ ์ฐจ์ด๋ฅผ ๊ตฌ๋ช…ํ•œ๋‹ค. ์…‹์งธ, ๋Œ€๊ธฐ์—… R&D ์ธ๋ ฅ์˜ ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™, ์ง๋ฌด ๋„์ „์„ฑ, ํ•™์Šต๋™๊ธฐ, ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™์˜ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๊ตฌ๋ช…ํ•œ๋‹ค. ๋„ท์งธ, ๋Œ€๊ธฐ์—… R&D ์ธ๋ ฅ์˜ ์ง๋ฌด ๋„์ „์„ฑ ๋ฐ ํ•™์Šต๋™๊ธฐ์™€ ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™์˜ ๊ด€๊ณ„์—์„œ ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™์˜ ๋งค๊ฐœํšจ๊ณผ๋ฅผ ๊ตฌ๋ช…ํ•œ๋‹ค. ์ด ์—ฐ๊ตฌ์˜ ๋ชจ์ง‘๋‹จ์€ ๋Œ€๊ธฐ์—… R&D ์ธ๋ ฅ์ด๋ฉฐ, ๋ชฉํ‘œ ๋ชจ์ง‘๋‹จ์€ ๋Œ€ํ•œ์ƒ๊ณตํšŒ์˜์†Œ์˜ ๊ธฐ์—…์ •๋ณด ์‚ฌ์ดํŠธ์—์„œ ์ œ๊ณตํ•˜๋Š” ๋งค์ถœ์•ก ๊ธฐ์ค€ 1,000๋Œ€ ๊ธฐ์—…์˜ R&D ์ธ๋ ฅ์ด๋‹ค. ๋ณธ ์กฐ์‚ฌ์˜ ์ž๋ฃŒ์ˆ˜์ง‘์— ์žˆ์–ด ์šฐํŽธ์กฐ์‚ฌ ๋ฐ ์˜จ๋ผ์ธ ์„ค๋ฌธ ์‹œ์Šคํ…œ(KSDC)์„ ํ†ตํ•œ ์œ ์˜ํ‘œ์ง‘์„ ํ™œ์šฉํ•˜์˜€์œผ๋ฉฐ, ์ด 300๋ช…์ด ์‘๋‹ตํ•œ ์ž๋ฃŒ๋ฅผ ํ™•๋ณดํ•˜์˜€๋‹ค. ์ด ์—ฐ๊ตฌ์—์„œ ์ˆ˜์ง‘๋œ ์ž๋ฃŒ๋Š” SPSS Statistics 23.0 ํ†ต๊ณ„ํ”„๋กœ๊ทธ๋žจ์„ ํ™œ์šฉํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€์œผ๋ฉฐ, ๋ชจ๋“  ๋ถ„์„์— ์žˆ์–ด์„œ ํ†ต๊ณ„์  ์œ ์˜์ˆ˜์ค€์€ 5%๋กœ ์„ค์ •ํ•˜์˜€๋‹ค. ์ฃผ์š” ํ†ต๊ณ„๋ฐฉ๋ฒ•์€ ๋นˆ๋„, ๋ฐฑ๋ถ„์œจ, ํ‰๊ท , ํ‘œ์ค€ํŽธ์ฐจ ๋“ฑ์˜ ๊ธฐ์ˆ ํ†ต๊ณ„๋ฅผ ํ™œ์šฉํ•˜์˜€์œผ๋ฉฐ, ๋ณ€์ธ ๊ฐ„ ๊ด€๊ณ„ ๊ตฌ๋ช…์„ ์œ„ํ•ด t-test, ANOVA, ์ƒ๊ด€๋ถ„์„, ํšŒ๊ท€๋ถ„์„์„ ํ™œ์šฉํ•˜์˜€๋‹ค. PROCESS ๋ชจํ˜•์„ ํ™œ์šฉํ•˜์—ฌ ํšŒ๊ท€๋ถ„์„์„ ์‹ค์‹œํ•˜๊ณ  ๋ถ€ํŠธ์ŠคํŠธ๋ž˜ํ•‘(Bootstrapping)์„ ํ†ตํ•ด ๋งค๊ฐœํšจ๊ณผ ์œ ์˜์„ฑ์„ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ์ด ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ๋Œ€๊ธฐ์—… R&D ์ธ๋ ฅ์˜ ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™ ์ˆ˜์ค€์€ ํ‰๊ท  3.53, ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™ ์ˆ˜์ค€์€ 3.53์œผ๋กœ ๋ณดํ†ต๋ณด๋‹ค ์•ฝ๊ฐ„ ๋†’์€ ์ˆ˜์ค€์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋‘˜์งธ, ์ธ๊ตฌํ†ต๊ณ„ํ•™์  ํŠน์„ฑ์— ๋”ฐ๋ฅธ ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™ ์ˆ˜์ค€์˜ ์ฐจ์ด๊ฐ€ ์žˆ๋Š”์ง€ ์‚ดํŽด๋ณธ ๊ฒฐ๊ณผ ์„ฑ๋ณ„, ์—ฐ๋ น, ์ง๊ธ‰, ๊ทผ์†๋…„์ˆ˜, ์—…๋ฌด๊ฒฝ๋ ฅ, ์—…์ข… ๋“ฑ์˜ ์ธ๊ตฌํ†ต๊ณ„ํ•™์  ํŠน์„ฑ ๋ณ€์ธ์— ๋”ฐ๋ผ ์ฐจ์ด๊ฐ€ ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ตฌ์ฒด์ ์œผ๋กœ๋Š” ์„ฑ๋ณ„์— ๋”ฐ๋ผ ๋‚จ์ž๊ฐ€ ์—ฌ์ž๋ณด๋‹ค ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™์˜ ์ธ์‹ ์ˆ˜์ค€์ด ๋†’์•˜์œผ๋ฉฐ, ์—ฐ๋ น๋Œ€๋ณ„๋กœ๋Š” 20๋Œ€์— ๋น„ํ•ด 40๋Œ€ ๋ฐ 50๋Œ€ ์ด์ƒ์˜ ์ธ์‹ ์ˆ˜์ค€์ด ๋†’์•˜๋‹ค. ์ง๊ธ‰๋ณ„๋กœ๋Š” ์‚ฌ์›/์ฃผ์ž„๊ธ‰์— ๋น„ํ•ด ์ฐจ์žฅ/์ˆ˜์„๊ธ‰ ๋ฐ ๋ถ€์žฅ๊ธ‰ ์ด์ƒ์ด ๋†’์•˜๊ณ , ๊ทผ์†๋…„์ˆ˜๋ณ„๋กœ๋Š” 2๋…„ ์ด์ƒ 5๋…„ ๋ฏธ๋งŒ ๊ทผ๋กœ์ž์— ๋น„ํ•ด 15๋…„ ์ด์ƒ ๊ทผ๋กœ์ž๊ฐ€ ๋†’์•˜์œผ๋ฉฐ, ์—…๋ฌด๊ฒฝ๋ ฅ๋ณ„๋กœ๋Š” 2๋…„ ๋ฏธ๋งŒ ๊ฒฝ๋ ฅ์ž์— ๋น„ํ•ด 15๋…„ ์ด์ƒ ๊ฒฝ๋ ฅ์ž๊ฐ€ ๋†’์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ํ•œํŽธ, ์ธ๊ตฌํ†ต๊ณ„ํ•™์  ํŠน์„ฑ์— ๋”ฐ๋ฅธ ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™ ์ˆ˜์ค€์˜ ์ฐจ์ด๊ฐ€ ์žˆ๋Š”์ง€ ์‚ดํŽด๋ณธ ๊ฒฐ๊ณผ ํ•™๋ ฅ, ์ง๊ธ‰, ์—…๋ฌด๊ฒฝ๋ ฅ ๋“ฑ์˜ ์ธ๊ตฌํ†ต๊ณ„ํ•™์  ํŠน์„ฑ ๋ณ€์ธ์— ๋”ฐ๋ผ ์ฐจ์ด๊ฐ€ ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์…‹์งธ, ๋Œ€๊ธฐ์—… R&D ์ธ๋ ฅ์˜ ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™์€ ์„ ํ–‰๋ณ€์ธ์œผ๋กœ ๊ตฌ์•ˆ๋œ ์ง๋ฌด ๋„์ „์„ฑ, ํ•™์Šต๋™๊ธฐ, ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™ ๋“ฑ๊ณผ ๊ฐ๊ฐ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๊ฐ–๊ณ  ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ข…์†๋ณ€์ธ์ธ ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™ ์ˆ˜์ค€๊ณผ ๊ฐ ๋ณ€์ธ๋“ค์˜ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ์‚ดํŽด๋ณด๋ฉด, ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™์ด .560, ์ง๋ฌด ๋„์ „์„ฑ์ด .523์œผ๋กœ ๋†’์€ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋ณด์ด๊ณ  ์žˆ์—ˆ์œผ๋ฉฐ, ํ•™์Šต๋™๊ธฐ๋Š” .460์œผ๋กœ ์ค‘๊ฐ„์˜ ์ƒ๊ด€๊ด€๊ณ„๊ฐ€ ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ง๋ฌด ๋„์ „์„ฑ์€ ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™๊ณผ .550์œผ๋กœ ๋†’์€ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋ณด์ด๊ณ  ์žˆ์—ˆ์œผ๋ฉฐ, ํ•™์Šต๋™๊ธฐ๋Š” .264๋กœ ๋‚ฎ์€ ์ƒ๊ด€๊ด€๊ณ„๊ฐ€ ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ํ•™์Šต๋™๊ธฐ๋Š” ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™๊ณผ .653์œผ๋กœ ๋†’์€ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๋ณด์ด๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋„ท์งธ, ๋Œ€๊ธฐ์—… R&D ์ธ๋ ฅ์˜ ์ง๋ฌด ๋„์ „์„ฑ๊ณผ ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™์˜ ๊ด€๊ณ„์—์„œ ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™์€ ๋ถ€๋ถ„๋งค๊ฐœํšจ๊ณผ๋ฅผ ๊ฐ–๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. PROCESS๋ฅผ ํ†ตํ•œ ๋งค๊ฐœํšจ๊ณผ 1๋‹จ๊ณ„ ๋ถ„์„์—์„œ ์ง๋ฌด ๋„์ „์„ฑ์ด ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์ด ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๊ณ (ฮฒ=.258, p<.001), 2๋‹จ๊ณ„ ๋ถ„์„์—์„œ ์ง๋ฌด ๋„์ „์„ฑ(ฮฒ=.249, p<.001)๊ณผ ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™(ฮฒ=.238, p<.01)์ด ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์ด ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, 3๋‹จ๊ณ„ ๋ถ„์„์—์„œ ์ง๋ฌด ๋„์ „์„ฑ์ด ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์ด ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค(ฮฒ=.310, p<.001). ์ฆ‰, ๊ฐ ๋‹จ๊ณ„์˜ ํšŒ๊ท€๊ณ„์ˆ˜๊ฐ€ ๋ชจ๋‘ ์œ ์˜ํ•˜๊ณ  ์ง๋ฌด ๋„์ „์„ฑ์˜ ํšŒ๊ท€๊ณ„์ˆ˜ ์ดํšจ๊ณผ๋Š” ์ง์ ‘ํšจ๊ณผ๋ณด๋‹ค .062(๊ฐ„์ ‘ํšจ๊ณผ)๋งŒํผ ํฌ๋ฉฐ, ์ด๋Ÿฌํ•œ ๊ฐ„์ ‘ํšจ๊ณผ์˜ ํ†ต๊ณ„์  ์œ ์˜์„ฑ์ด ํ™•๋ณด๋˜์—ˆ์œผ๋ฏ€๋กœ ์ง๋ฌด ๋„์ „์„ฑ๊ณผ ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™์˜ ๊ด€๊ณ„์—์„œ ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™์˜ ๋ถ€๋ถ„ ๋งค๊ฐœํšจ๊ณผ๊ฐ€ ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ํ•œํŽธ, ํ•™์Šต๋™๊ธฐ์™€ ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™์˜ ๊ด€๊ณ„์—์„œ ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™์€ ๋ถ€๋ถ„๋งค๊ฐœํšจ๊ณผ๋ฅผ ๊ฐ–๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. PROCESS๋ฅผ ํ†ตํ•œ ๋งค๊ฐœํšจ๊ณผ 1๋‹จ๊ณ„ ๋ถ„์„์—์„œ ํ•™์Šต๋™๊ธฐ๊ฐ€ ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์ด ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๊ณ (ฮฒ=.531, p<.001), 2๋‹จ๊ณ„ ๋ถ„์„์—์„œ ํ•™์Šต๋™๊ธฐ(ฮฒ=.299, p<.001)์™€ ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™(ฮฒ=.238, p<.01)์ด ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์ด ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, 3๋‹จ๊ณ„ ๋ถ„์„์—์„œ ํ•™์Šต๋™๊ธฐ๊ฐ€ ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์ด ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค(ฮฒ=.426, p<.001). ์ฆ‰, ๊ฐ ๋‹จ๊ณ„์˜ ํšŒ๊ท€๊ณ„์ˆ˜๊ฐ€ ๋ชจ๋‘ ์œ ์˜ํ•˜๊ณ  ํ•™์Šต๋™๊ธฐ์˜ ํšŒ๊ท€๊ณ„์ˆ˜ ์ดํšจ๊ณผ๋Š” ์ง์ ‘ํšจ๊ณผ๋ณด๋‹ค .127(๊ฐ„์ ‘ํšจ๊ณผ)๋งŒํผ ํฌ๋ฉฐ, ์ด๋Ÿฌํ•œ ๊ฐ„์ ‘ํšจ๊ณผ์˜ ํ†ต๊ณ„์  ์œ ์˜์„ฑ์ด ํ™•๋ณด๋˜์—ˆ์œผ๋ฏ€๋กœ ํ•™์Šต๋™๊ธฐ์™€ ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™์˜ ๊ด€๊ณ„์—์„œ ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™์˜ ๋ถ€๋ถ„ ๋งค๊ฐœํšจ๊ณผ๊ฐ€ ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด ์—ฐ๊ตฌ์˜ ๊ฒฐ๋ก ์œผ๋กœ๋Š” ์ฒซ์งธ, ์šฐ๋ฆฌ๋‚˜๋ผ ๋Œ€๊ธฐ์—… R&D ์ธ๋ ฅ์˜ ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™ ์ˆ˜์ค€ ๋ฐ ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™ ์ˆ˜์ค€์€ ๋ณดํ†ต๋ณด๋‹ค ์•ฝ๊ฐ„ ๋†’์€ ์ˆ˜์ค€์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋‘˜์งธ, ๋Œ€๊ธฐ์—… R&D ์ธ๋ ฅ์˜ ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™ ์ˆ˜์ค€์€ ์—ฐ๋ น ์ธก๋ฉด์—์„œ 40๋Œ€ ์ด์ƒ ์—ฐ๋ น์˜ ์ธ๋ ฅ์ด 30๋Œ€ ์ดํ•˜ ์—ฐ๋ น์˜ ์ธ๋ ฅ๋ณด๋‹ค ๋†’๊ฒŒ ์ธ์‹ํ•˜๊ณ  ์žˆ์—ˆ๊ณ , ์ง๊ธ‰ ์ธก๋ฉด์—์„œ ์ฐจ์žฅ ๋ฐ ์ˆ˜์„๊ธ‰ ์ด์ƒ์ด ๊ณผ์žฅ ๋ฐ ์ฑ…์ž„๊ธ‰ ์ดํ•˜๋ณด๋‹ค ๋†’๊ฒŒ ์ธ์‹ํ•˜๊ณ  ์žˆ์—ˆ์œผ๋ฉฐ, ๊ทผ์†๋…„์ˆ˜ ๋˜๋Š” ์—…๋ฌด๊ฒฝ๋ ฅ ์ธก๋ฉด์—์„œ๋„ 15๋…„ ์ด์ƒ ๊ทผ์† ๋˜๋Š” ๊ฒฝ๋ ฅ์œผ๋กœ ์‘๋‹ตํ•œ ์ธ๋ ฅ์ด ๊ทธ๋ ‡์ง€ ์•Š์€ ์ธ๋ ฅ์— ๋น„ํ•ด ๋†’๊ฒŒ ์ธ์‹ํ•˜๊ณ  ์žˆ์—ˆ๋‹ค. ์…‹์งธ, ๋Œ€๊ธฐ์—… R&D ์ธ๋ ฅ์˜ ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™์€ ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™, ์ง๋ฌด ๋„์ „์„ฑ ๋“ฑ๊ณผ ๋†’์€ ์ƒ๊ด€๊ด€๊ณ„๊ฐ€ ์žˆ๊ณ , ์ง๋ฌด ๋„์ „์„ฑ์€ ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™๊ณผ ๋†’์€ ์ƒ๊ด€๊ด€๊ณ„๊ฐ€ ์žˆ์œผ๋ฉฐ, ํ•™์Šต๋™๊ธฐ๋Š” ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™๊ณผ ๋†’์€ ์ƒ๊ด€๊ด€๊ณ„๊ฐ€ ์žˆ์—ˆ๋‹ค. ๋„ท์งธ, ๋Œ€๊ธฐ์—… R&D ์ธ๋ ฅ์˜ ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™๊ณผ ์ง๋ฌด ๋„์ „์„ฑ์€ ์œ ์˜ํ•œ ์ •์  ๊ด€๊ณ„๊ฐ€ ์žˆ์—ˆ์œผ๋ฉฐ ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™์€ ๋งค๊ฐœ๋ณ€์ธ์œผ๋กœ์„œ ์œ ์˜ํ•œ ํšจ๊ณผ๊ฐ€ ์žˆ์—ˆ๊ณ , ๋Œ€๊ธฐ์—… R&D ์ธ๋ ฅ์˜ ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™๊ณผ ํ•™์Šต๋™๊ธฐ๋Š” ์œ ์˜ํ•œ ์ •์  ๊ด€๊ณ„๊ฐ€ ์žˆ์—ˆ์œผ๋ฉฐ ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™์€ ๋งค๊ฐœ๋ณ€์ธ์œผ๋กœ์„œ ์œ ์˜ํ•œ ํšจ๊ณผ๊ฐ€ ์žˆ์—ˆ๋‹ค. ์ด์™€ ๊ฐ™์€ ๊ฒฐ๋ก ์„ ํ† ๋Œ€๋กœ ๋‹ค์Œ๊ณผ ๊ฐ™์€ ์‚ฌํ•ญ์„ ์ œ์–ธํ•˜์˜€๋‹ค. ์ฒซ์งธ, ๊ฐœ์ธ์˜ ์‹ฌ๋ฆฌ์  ์š”์ธ์ด ํ•™์Šต์ด๋ผ๋Š” ํ™œ๋™์„ ๋งค๊ฐœ๋กœ ํ•˜์—ฌ ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™์œผ๋กœ ์ด์–ด์ง€๋Š” ๊ณผ์ •์„ ํ™•์ธํ•˜๋Š” ๋ฐ ์žˆ์–ด์„œ ์‚ฐ์—… ๊ตฌ๋ถ„์€ ์˜๋ฏธ๊ฐ€ ์žˆ์„ ๊ฒƒ์œผ๋กœ ํŒ๋‹จ๋˜๋ฏ€๋กœ, ํ–ฅํ›„ ์—ฐ๊ตฌ์—์„œ๋Š” ๊ธฐ์—… ๊ตฌ๋ถ„๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๊ทธ๋ฃน์‚ฌ๊ฐ€ ๋ถ„๋ฅ˜๋˜๋Š” ์‚ฐ์—…๋ถ„์•ผ์— ๋Œ€ํ•œ ์ œํ•œ, ๊ทผ๋กœ์ž ์ˆ˜ ๋“ฑ์„ ํ†ต์ œํ•˜์—ฌ ์—ฐ๊ตฌ๊ฐ€ ์ด๋ฃจ์–ด์งˆ ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ๋‘˜์งธ, ์ง๋ฌด ๋„์ „์„ฑ์ด๋‚˜ ํ•™์Šต๋™๊ธฐ๊ฐ€ ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™์„ ๋งค๊ฐœ๋กœ ํ•˜์—ฌ ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™์œผ๋กœ ์ด์–ด์ง€๋Š” ๊ตฌ์กฐ์  ๋งค์ปค๋‹ˆ์ฆ˜์— ๋Œ€ํ•œ ์‹ฌ๋„ ์žˆ๋Š” ๋…ผ์˜๋ฅผ ์œ„ํ•ด ์ถ”๊ฐ€์ ์ธ ์„ ํ–‰์—ฐ๊ตฌ ๊ณ ์ฐฐ์„ ํ†ตํ•ด ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™ ๋ฐ ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™์˜ ์„ ํ–‰๋ณ€์ธ์„ ํƒ์ƒ‰ํ•œ ๋’ค ๊ตฌ์กฐ๋ชจํ˜•์„ ์‹ค์ฆํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ์…‹์งธ, ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™๊ณผ ํ˜•์‹ํ•™์Šต ํ™œ๋™์„ ๊ตฌ๋ถ„ํ•˜์—ฌ ์ธก์ •ํ•˜๊ณ  ์—ฐ๊ตฌ ๋ชจํ˜•์— ํˆฌ์ž…ํ•จ์œผ๋กœ์จ ์ง๋ฌด ๋„์ „์„ฑ๊ณผ ํ•™์Šต๋™๊ธฐ๊ฐ€ ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™์„ ์•ผ๊ธฐํ•˜๋Š”๋ฐ ํ•™์Šต์˜ ํ˜•์‹์„ฑ์— ๋”ฐ๋ฅธ ์ฐจ์ด์ ์ด ๋ฐœ๊ฒฌ๋˜๋Š”์ง€ ํƒ์ƒ‰ํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ๋„ท์งธ, ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™์˜ ๊ฒฐ๊ณผ๋กœ ์˜ˆ์ธก๋˜๋Š” ์ฐฝ์˜์  ์„ฑ๊ณผ์™€์˜ ์ƒ๊ด€ ๋ฐ ์˜ํ–ฅ ๊ด€๊ณ„๋ฅผ ์‹ค์ฆํ•  ํ•„์š”๊ฐ€ ์žˆ๊ณ  ์ด๋ฅผ ํ†ตํ•ด ์ฐฝ์˜์  ์„ฑ๊ณผ ์ฐฝ์ถœ์— ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™์ด ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”์ง€ ํ™•์ธํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ๋‹ค์„ฏ์งธ, ์ด ์—ฐ๊ตฌ์—์„œ ๋งค๊ฐœ๋ณ€์ธ์œผ๋กœ ์ฃผ๋ชฉํ•œ ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™ ์ฆ์ง„์„ ์œ„ํ•ด ์‹ค๋ฌด์ ์ธ ๊ฐœ์ž…๊ธฐ๋ฒ•์„ ์„ค๊ณ„ํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ์—ฌ์„ฏ์งธ, ํ˜์‹ ์„ ๊พ€ํ•˜๋Š” ๊ธฐ์—…์€ ์ง๋ฌด ๋„์ „์„ฑ์ด๋ผ๋Š” ์‹ฌ๋ฆฌ์  ์ž๋ณธ์ด ํ•™์Šต ํ™œ๋™์„ ํ†ตํ•ด ์กฐ์ง์„ฑ๊ณผ์˜ ์ž์›์œผ๋กœ ํ™œ์šฉ๋  ์ˆ˜ ์žˆ๋„๋ก ์กฐ์ง๊ตฌ์„ฑ์›์„ ๋™๊ธฐ๋ถ€์—ฌ ํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค.I. ์„œ๋ก  1 1. ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ 1 2. ์—ฐ๊ตฌ๋ชฉ์  4 3. ์—ฐ๊ตฌ๋ฌธ์ œ 4 4. ์šฉ์–ด์˜ ์ •์˜ 6 II. ์ด๋ก ์  ๋ฐฐ๊ฒฝ 7 1. ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™ 7 2. ์ง๋ฌด ๋„์ „์„ฑ 15 3. ํ•™์Šต๋™๊ธฐ 21 4. ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™ 26 5. ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™๊ณผ ์ง๋ฌด ๋„์ „์„ฑ, ํ•™์Šต๋™๊ธฐ, ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™์˜ ๊ด€๊ณ„ 36 III. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• 43 1. ์—ฐ๊ตฌ๋ชจํ˜• 43 2. ์—ฐ๊ตฌ๋Œ€์ƒ 43 3. ์กฐ์‚ฌ๋„๊ตฌ 45 4. ์ž๋ฃŒ์ˆ˜์ง‘ 50 5. ์ž๋ฃŒ๋ถ„์„ 53 โ…ฃ. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ 55 1. ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™, ์ง๋ฌด ๋„์ „์„ฑ, ํ•™์Šต๋™๊ธฐ, ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™์˜ ์ˆ˜์ค€ 55 2. ์ธ๊ตฌํ†ต๊ณ„ํ•™์  ํŠน์„ฑ์— ๋”ฐ๋ฅธ ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™, ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™ ์ˆ˜์ค€ ์ฐจ์ด 57 3. ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™, ์ง๋ฌด ๋„์ „์„ฑ, ํ•™์Šต๋™๊ธฐ, ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™์˜ ์ƒ๊ด€๊ด€๊ณ„ 70 4. ์ง๋ฌด ๋„์ „์„ฑ ๋ฐ ํ•™์Šต๋™๊ธฐ์™€ ํ˜์‹ ์  ์—…๋ฌดํ–‰๋™์˜ ๊ด€๊ณ„์—์„œ ๋ฌดํ˜•์‹ํ•™์Šต ํ™œ๋™์˜ ๋งค๊ฐœํšจ๊ณผ 74 5. ๋…ผ์˜ 75 โ…ค. ์š”์•ฝ, ๊ฒฐ๋ก  ๋ฐ ์ œ์–ธ 83 1. ์š”์•ฝ 83 2. ๊ฒฐ๋ก  85 3. ์ œ์–ธ 87 ์ฐธ๊ณ ๋ฌธํ—Œ 91 ๋ถ€๋ก 114 Abstract 131Maste

    ์„œ์šธ์‹œ๋ฏผ ๋ฏผ์› ๋งŒ์กฑ๋„์— ๊ด€ํ•œ ์—ฐ๊ตฌ : ๋ฏผ์›ํ™˜๊ฒฝใ†๋ฏผ์› ๋‹ด๋‹น์žใ†๋ฏผ์›์ธ์˜ ์ƒ๋Œ€์  ์ค‘์š”์„ฑ์„ ์ค‘์‹ฌ์œผ๋กœ(2001๋…„~2004๋…„)

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธๅคงๅญธๆ ก ่กŒๆ”ฟๅคงๅญธ้™ข :่กŒๆ”ฟๅญธ็ง‘, ๆ”ฟ็ญ–ๅญธๅฐˆๆ”ป,2006.Maste
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