24 research outputs found

    Focusing on Openness of Government Information

    Get PDF
    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ํ–‰์ •๋Œ€ํ•™์› ํ–‰์ •ํ•™๊ณผ(์ •์ฑ…ํ•™์ „๊ณต), 2021.8. ๊น€๋‹ค์šธ.์ง€๋ฐฉ์ž์น˜์ œ๊ฐ€ ๋ฐ”๋žŒ์งํ•˜๊ฒŒ ์ž‘๋™ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ์ถฉ๋ถ„ํ•œ ์ •๋ณด๋ฅผ ๊ฐ€์ง„ ์‹œ๋ฏผ (informed citizenry)์ด ์ „์ œ๋˜์–ด์•ผ ํ•˜๋ฉฐ, ์ด ์ „์ œ๋Š” ์ง€๋ฐฉ์ •๋ถ€์˜ ์ ๊ทน์ ์ธ ์ •๋ณด ๊ฐœ๋ฐฉ์„ ํ†ตํ•ด ์ถฉ์กฑ๋  ์ˆ˜ ์žˆ๋‹ค. ์‹œ๋ฏผ๋“ค์€ ์ง€๋ฐฉ์ •๋ถ€์˜ ๋‚ด๋ถ€ ํ–‰์ •ํ™œ๋™์— ๋Œ€ํ•œ ์ •๋ณด๋ฅผ ํ†ตํ•ด ์ง€๋ฐฉ์ •๋ถ€์˜ ํ–‰์ •ํ™œ๋™์„ ๊ฐ์‹œํ•˜๊ณ  ๊ฒฌ์ œํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ์ง€๋ฐฉ์ •๋ถ€๊ฐ€ ์ œ๊ณตํ•œ ๋ฐ์ดํ„ฐ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์ •๋ถ€๊ฐ€ ํ•ด๊ฒฐํ•˜์ง€ ๋ชปํ•˜๋Š” ์ง€์—ญ์˜ ์ˆ˜์š”์™€ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•  ์ˆ˜ ์žˆ๋‹ค. ํ˜„์žฌ ๊ตญ๋‚ด์™ธ์ ์œผ๋กœ ์ง€๋ฐฉ์ •๋ถ€์˜ ์ •๋ณด ๊ฐœ๋ฐฉ์„ ์ฆ์ง„ํ•˜๊ธฐ ์œ„ํ•œ ์ œ๋„๋“ค์ด ์‹œํ–‰๋˜๊ณ  ์žˆ์ง€๋งŒ, ์ •๋ณด ๊ฐœ๋ฐฉ ์ˆ˜์ค€์€ ์ง€๋ฐฉ์ •๋ถ€ ๋ณ„๋กœ ์ƒ๋Œ€์ ์œผ๋กœ ํฐ ํŽธ์ฐจ๊ฐ€ ์กด์žฌํ•˜๊ณ  ์žˆ๋‹ค. ์ด ๋…ผ๋ฌธ์€ ์ง€๋ฐฉ์ •๋ถ€๋“ค์ด ์ •๋ณด๊ฐœ๋ฐฉ์„ ์ด‰์ง„ํ•˜๊ธฐ ์œ„ํ•œ ๊ฐ™์€ ์ œ๋„์˜ ์ ์šฉ์„ ๋ฐ›๊ณ  ์žˆ์ง€๋งŒ, ๊ทธ ๊ฐœ๋ฐฉ ์ˆ˜์ค€์ด ์„œ๋กœ ๋‹ค๋ฅด๋‹ค๋Š” ์ ์— ์ฃผ๋ชฉํ•˜์˜€๋‹ค. ์ด์— ๋”ฐ๋ผ ์ง€๋ฐฉ์ •๋ถ€์˜ ์ •๋ณด๊ฐœ๋ฐฉ์„ฑ ๊ฒฐ์ •์š”์ธ์„ ๊ทœ๋ช…ํ•˜๋Š” ์—ฐ๊ตฌ๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๊ด€๋ จ ์„ ํ–‰์—ฐ๊ตฌ์˜ ๊ฒ€ํ†  ๊ฒฐ๊ณผ, ๋‹ค์Œ๊ณผ ๊ฐ™์€ ํ•œ๊ณ„๊ฐ€ ํ™•์ธ๋˜์—ˆ๋‹ค. ์ฒซ์งธ, ๋Œ€๋‹ค์ˆ˜์˜ ์„ ํ–‰์—ฐ๊ตฌ๋Š” ์ง€๋ฐฉ์ •๋ถ€์˜ ์ •๋ณด๊ฐœ๋ฐฉ์— ๋Œ€ํ•ด ์™ธ๋ถ€ํ™˜๊ฒฝ์˜ ์˜ํ–ฅ์„ ๊ฐ•์กฐํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ์ •๋ณด๊ฐœ๋ฐฉ์— ๋Œ€ํ•œ ์ง€๋ฐฉ์ •๋ถ€์˜ ๋‚ด๋ถ€์  ๋™์ธ์— ๋Œ€ํ•ด์„œ๋Š” ์ƒ๋Œ€์ ์œผ๋กœ ๊ฐ„๊ณผํ•˜๊ณ  ์žˆ๋‹ค. ๋‘˜์งธ, ๋Œ€๋ถ€๋ถ„์˜ ์„ ํ–‰์—ฐ๊ตฌ๋“ค์€ ์ •๋ถ€๊ฐ€ ์ •๋ณด์— ๋Œ€ํ•œ ์ˆ˜์š”์ž์ด์ž ์‹ค์ œ ์‚ฌ์šฉ์ž๋กœ์„œ์˜ ์‹œ๋ฏผ์˜ ์ค‘์š”์„ฑ์€ ์ธ์‹ํ•˜์ง€๋งŒ, ์‹ค์ฆ์ ์œผ๋กœ ๊ทธ ์˜ํ–ฅ์„ ์ ํ•ฉํ•œ ๋ฐ์ดํ„ฐ์™€ ์‹ค์ฆ๋ถ„์„์„ ํ†ตํ•ด ๊ทœ๋ช…ํ•˜๋Š” ๋ฐ์—๋Š” ํ•œ๊ณ„๋ฅผ ๋ณด์ด๊ณ  ์žˆ์—ˆ๋‹ค. ์…‹์งธ, ๊ด€๋ จ ์„ ํ–‰์—ฐ๊ตฌ๋“ค์€ ์ง€๋ฐฉ์ •๋ถ€๊ฐ€ ์ง๋ฉดํ•˜๊ณ  ์žˆ๋Š” ๋™ํƒœ์ ์ธ ์ƒํ™ฉ์— ๋Œ€ํ•œ ๊ณ ๋ ค๊ฐ€ ๋ถ€์กฑํ•˜๋‹ค. ๋‹ค์‹œ ๋งํ•ด, ์ง€๋ฐฉ์ •๋ถ€์˜ ๊ณต๊ฐ„์  ์š”์†Œ๋ฅผ ๊ฐ„๊ณผํ•˜๊ณ , ์ง€๋ฐฉ์ •๋ถ€์˜ ์ •๋ณด๊ฐœ๋ฐฉ์— ๋Œ€ํ•œ ์ธ์ ‘ ์ง€๋ฐฉ์ •๋ถ€์™€์˜ ์ƒํ˜ธ์ž‘์šฉ ๊ฐ€๋Šฅ์„ฑ์„ ๊ณ ๋ คํ•œ ์—ฐ๊ตฌ๋ฅผ ์ฐพ๊ธฐ ์–ด๋ ต๋‹ค. ์ด์ƒ์˜ ์„ ํ–‰์—ฐ๊ตฌ์˜ ํ•œ๊ณ„๋ฅผ ๊ทน๋ณตํ•˜๊ธฐ ์œ„ํ•ด ์ด ๋…ผ๋ฌธ์€ ์ง€๋ฐฉ์ •๋ถ€์˜ ๋‚ด๋ถ€ ๊ธฐ์ˆ ์š”์ธ์„ ๊ฐ•์กฐํ•˜์ง€๋งŒ, ์ง€๋ฐฉ์ •๋ถ€์˜ ์™ธ๋ถ€ ํ™˜๊ฒฝ์š”์ธ์„ ํ•จ๊ป˜ ๊ณ ๋ คํ•˜๋Š” ๊ธฐ์ˆ -์กฐ์ง-ํ™˜๊ฒฝ ํ”„๋ ˆ์ž„์›Œํฌ(Technology-Organization-Environment Framework)๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์ง€๋ฐฉ์ •๋ถ€์˜ ์ •๋ณด๊ฐœ๋ฐฉ์„ฑ ์˜ํ–ฅ์š”์ธ์„ ๊ฒ€์ฆํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ๋ถ„์„์„ ์œ„ํ•ด 2015๋…„๋ถ€ํ„ฐ 2019๋…„๊นŒ์ง€์˜ ํ•œ๊ตญ์˜ 228๊ฐœ (๊ธฐ์ดˆ 226๊ฐœ, ์„ธ์ข…, ์ œ์ฃผ ํฌํ•จ) ์ง€๋ฐฉ์ •๋ถ€์˜ ๋ฐ์ดํ„ฐ๋ฅผ ์ˆ˜์ง‘ํ•˜์˜€๋‹ค. ์ข…์†๋ณ€์ˆ˜์ธ ์ •๋ณด ๊ฐœ๋ฐฉ์„ฑ์€ ์ •๋ถ€ ๋‚ด๋ถ€ํ™œ๋™์— ๋Œ€ํ•œ ๊ฐ์‹œ๊ฐ€ ๊ฐ€๋Šฅํ•œ (1) ํ–‰์ •๋ฌธ์„œ์˜ ์›๋ฌธ๊ณต๊ฐœ์œจ๊ณผ ์‹œ๋ฏผ๋“ค์—๊ฒŒ ์ฐธ์—ฌ์˜ ๊ธฐํšŒ๋ฅผ ์ œ๊ณตํ•˜๋Š” (2) ๊ณต๊ณต๋ฐ์ดํ„ฐ ๊ฐœ๋ฐฉ ์…‹ ์ˆ˜๋กœ ์ธก์ •๋˜์—ˆ์œผ๋ฉฐ, ๋‘ ์ข…์†๋ณ€์ˆ˜์— ๋Œ€ํ•ด ๊ฐ๊ฐ ๋‘ ๊ฐœ์˜ ๋ชจํ˜•์„ ํ†ตํ•ด ์‹ค์ฆ๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ์šฐ์„ , ์—์„œ๋Š” ๊ธฐ์ˆ  ์š”์ธ(์ง€๋ฐฉ์ •๋ถ€์˜ ๊ธฐ์ˆ  ์—ญ๋Ÿ‰, ๊ธฐ์ˆ ๊ด€๋ จ ์ž์›, ๊ธฐ์ˆ  ํ™œ์šฉ ๊ณ„ํš ์ˆ˜์ค€), ์กฐ์ง ์š”์ธ(์ง€๋ฐฉ์ •๋ถ€์˜ ๊ทœ๋ชจ, ์žฌ์ • ์ž๋ฆฝ๋„, ๋‹จ์ฒด์žฅ์˜ ์ •์น˜์  ์„ฑํ–ฅ), ํ™˜๊ฒฝ ์š”์ธ(์ง€์—ญ ์ •์น˜์˜ํ–ฅ- ์ง€๋ฐฉ์„ ๊ฑฐ ์—ฐ๋„, ์ง€๋ฐฉ์˜ํšŒ์™€์˜ ์ •์น˜์  ๊ฒฝ์Ÿ์ˆ˜์ค€, ์ง€์—ญ ์‹œ๋ฏผ ์˜ํ–ฅ- ์กฐ์งํ™”๋œ ์‹œ๋ฏผ, ๊ฐœ๋ณ„ ์‹œ๋ฏผ๋“ค์˜ ์˜ํ–ฅ์ˆ˜์ค€, ๋ฒ•์ œํ™” ์˜ํ–ฅ- ์กฐ๋ก€ ์ œ์ •์—ฌ๋ถ€)์ด ๋…๋ฆฝ๋ณ€์ˆ˜๋กœ ์„ค์ •๋˜์—ˆ๊ณ , ํ†ต์ œ๋ณ€์ˆ˜๋กœ๋Š” ์ค‘์•™์ •๋ถ€์˜ ํ‰๊ฐ€ ์‹œํ–‰์—ฌ๋ถ€, ์ง€์—ญ ์ธ๊ตฌ์ˆ˜, ์ง€์—ญ ๊ณ ๋ นํ™” ์ˆ˜์ค€, ๋†๊ฐ€์ธ๊ตฌ ๋น„์œจ, ์—ฐ๋„๊ฐ€ ํ™œ์šฉ๋˜์—ˆ๋‹ค. ์˜ ์ฃผ์š” ๋ถ„์„ ๋ฐฉ๋ฒ•์œผ๋กœ๋Š” 5๊ฐœ๋…„ ํŒจ๋„๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•œ ๊ณ ์ •ํšจ๊ณผ ๋ชจํ˜•์„ ํ†ตํ•ด ๋ณ€์ˆ˜๋“ค์˜ ์˜ํ–ฅ์„ ์ถ”์ •ํ•˜์˜€๋‹ค. ๋‹ค์Œ์œผ๋กœ, ์—์„œ๋Š” ์ •๋ณด๊ฐœ๋ฐฉ์„ฑ์— ๋Œ€ํ•œ ์ธ์ ‘ ์ง€๋ฐฉ์ •๋ถ€์˜ ์˜ํ–ฅ์„ ์ค‘์ ์ ์œผ๋กœ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ์—๋Š” ์— ํฌํ•จ๋œ ๋ณ€์ˆ˜๋“ค์„ ๋ชจ๋‘ ํฌํ•จํ•˜์˜€์œผ๋ฉฐ, ๊ฒ€์ฆ ๋ฐฉ๋ฒ•์œผ๋กœ๋Š” ๊ณต์ฐจ๋ชจํ˜•(spatial lag model)์„ ํ™œ์šฉํ•œ ํŒจ๋„ ๊ณต๊ฐ„ํšŒ๊ท€๋ถ„์„(๊ณ ์ •ํšจ๊ณผ)์„ ํ™œ์šฉํ•˜์˜€๋‹ค. ๊ณผ ์˜ ์ฃผ์š” ๋ถ„์„ ๊ฒฐ๊ณผ๋ฅผ ๊ฐ ์ข…์†๋ณ€์ˆ˜๋ณ„๋กœ ์š”์•ฝํ•˜๋ฉด ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์šฐ์„ , ์ง€๋ฐฉ์ •๋ถ€ ๋‚ด๋ถ€ ํ–‰์ •ํ™œ๋™์„ ๊ณต๊ฐœํ•˜๋Š” ๊ฐœ๋ฐฉ์„ฑ(์›๋ฌธ๊ณต๊ฐœ์œจ)์— ์žˆ์–ด์„œ๋Š” ๋‹จ์ฒด์žฅ์˜ ์ •์น˜์  ์„ฑํ–ฅ(์ง„๋ณด), ICT์ธ๋ ฅ, ์žฌ์ •์ž๋ฆฝ๋„(์ด์ƒ ์กฐ์ง ๋‚ด๋ถ€์š”์ธ), ์ •์น˜์  ๊ฒฝ์Ÿ, ๊ฐœ๋ณ„ ์‹œ๋ฏผ๋“ค์˜ ๋ชฉ์†Œ๋ฆฌ(๋ฏผ์› ์ œ๊ธฐ), ๊ด€๋ จ ์กฐ๋ก€ ์ œ์ • ์—ฌ๋ถ€, ์ธ์ ‘์ง€๋ฐฉ์ •๋ถ€์™€์˜ ์ƒํ˜ธ์ž‘์šฉ(์ด์ƒ ์กฐ์ง ์™ธ๋ถ€์š”์ธ)์˜ ์˜ํ–ฅ์ด ํ™•์ธ๋˜์—ˆ๋‹ค. ์›๋ฌธ๊ณต๊ฐœ์œจ์—๋Š” ์ง€๋ฐฉ์ •๋ถ€ ๋‚ด๋ถ€์™€ ์™ธ๋ถ€์š”์ธ ๋ชจ๋‘ ์œ ์˜๋ฏธํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น˜๊ณ  ์žˆ์—ˆ์œผ๋‚˜, ์™ธ๋ถ€ ์š”์ธ์˜ ์˜ํ–ฅ์ด ๋”์šฑ ๋‘๋“œ๋Ÿฌ์กŒ๋‹ค. ํŠนํžˆ, ์ง€๋ฐฉ์ •๋ถ€์˜ ๋‚ด๋ถ€ ํ–‰์ •ํ™œ๋™์— ๋Œ€ํ•œ ๊ฐœ๋ฐฉ ์ˆ˜์ค€์€ ์ง€๋ฐฉ์ •๋ถ€๋ฅผ ๊ฐ์‹œํ•˜๊ณ  ์ƒํ˜ธ์ž‘์šฉํ•˜๋Š” ์™ธ๋ถ€์˜ ํ–‰์œ„์ž๋“ค์˜ ๊ด€๊ณ„ ์†์—์„œ ๊ฒฐ์ •๋˜๋Š” ๊ฒƒ์œผ๋กœ ํ™•์ธ๋œ๋‹ค. ์ง€๋ฐฉ์ •๋ถ€๋Š” ๊ทธ๋“ค์ด ์ง๋ฉดํ•˜๊ณ  ์žˆ๋Š” ์ง€์—ญ์˜ ์ •์น˜์  ํ™˜๊ฒฝ์ด ์šฐํ˜ธ์ ์ผ ๋•Œ ๊ฐœ๋ฐฉ ์ˆ˜์ค€์„ ๋†’์ด๊ณ , ์ง€์—ญ์˜ ์ •์น˜์  ํ™˜๊ฒฝ์ด ๋น„์šฐํ˜ธ์ ์ผ ๋•Œ์—๋Š” ๊ฐœ๋ฐฉ ์ˆ˜์ค€์„ ๋‚ฎ์ถ”๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด, ์ง€๋ฐฉ์˜ํšŒ์™€์˜ ์ •์น˜์  ๊ฒฝ์Ÿ์ด ๋‚ฎ์„ ๋•Œ, ๊ฐœ๋ณ„ ์‹œ๋ฏผ๋“ค์˜ ๋ชฉ์†Œ๋ฆฌ๊ฐ€ ๋†’์„ ๋•Œ ๋‚ด๋ถ€ ์ •๋ณด์— ๋Œ€ํ•œ ๊ฐœ๋ฐฉ์„ ๋‚ฎ์ท„๋‹ค. ์ง€๋ฐฉ์ •๋ถ€๋Š” ์—ฌ์ „ํžˆ ํ–‰์ •์ •๋ณด์— ๋Œ€ํ•œ ํ†ต์ œ๋ ฅ์„ ํ–‰์‚ฌํ•˜๋ฉฐ, ๊ทธ๋“ค์˜ ์ •์น˜์  ์ดํ•ด๊ด€๊ณ„์— ๋”ฐ๋ผ ์ด๋ฅผ ์ „๋žต์ ์œผ๋กœ ์กฐ์ •ํ•˜๋Š” ๋ชจ์Šต์ด ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋ฐ˜๋ฉด์—, ์ •๋ณด ๊ฐœ๋ฐฉ๊ณผ ๊ด€๋ จํ•œ ์กฐ๋ก€์˜ ์ œ์ •๊ณผ ์ธ์ ‘ํ•œ ๋‹ค๋ฅธ ์ง€๋ฐฉ์ •๋ถ€๋“ค์˜ ๊ฐœ๋ฐฉ์„ฑ ์ˆ˜์ค€์—๋Š” ๊ธ์ •์  ์˜ํ–ฅ์„ ๋ฐ›๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ง€๋ฐฉ์ •๋ถ€๊ฐ€ ๊ทธ๋“ค์ด ์ง๋ฉดํ•˜๊ณ  ์žˆ๋Š” ์ •์น˜์  ํ™˜๊ฒฝ์— ๋”ฐ๋ผ ์›๋ฌธ๊ณต๊ฐœ์œจ์„ ์กฐ์ •ํ•˜์ง€๋งŒ, ์ง€์—ญ์— ์ •๋ณด๊ณต๊ฐœ์™€ ๊ด€๋ จํ•œ ์กฐ๋ก€๊ฐ€ ์ œ์ •๋˜์–ด์žˆ์„ ์‹œ์—๋Š” ์›๋ฌธ๊ณต๊ฐœ ์ˆ˜์ค€์ด ์ „๋ฐ˜์ ์œผ๋กœ ๋†’์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋˜ํ•œ, ์ง€๋ฆฌ์ ์œผ๋กœ ์ธ์ ‘ํ•œ ์ง€๋ฐฉ์ •๋ถ€๋“ค ๊ฐ„์—๋Š” ์›๋ฌธ๊ณต๊ฐœ์œจ๊ณผ ๊ด€๋ จํ•˜์—ฌ ์ •๋ถ€ ๊ฐ„ ์ƒํ˜ธ์ž‘์šฉ์„ ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚˜ ์ •๋ณด๊ฐœ๋ฐฉ์„ฑ์— ๋Œ€ํ•œ ์ง€์—ญ์  ํ™•์‚ฐํšจ๊ณผ(spill-over)์˜ ๊ฐ€๋Šฅ์„ฑ์„ ์—ฟ๋ณผ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ง€๋ฐฉ์ •๋ถ€ ๋‚ด๋ถ€ ์š”์ธ ์ค‘์—์„œ๋Š” ๋‹จ์ฒด์žฅ์˜ ์ •์น˜์  ์„ฑํ–ฅ์ด ์ง„๋ณด์ ์ผ์ˆ˜๋ก, ์žฌ์ •์ž๋ฆฝ๋„๊ฐ€ ๋‚ฎ์„์ˆ˜๋ก ๊ฐœ๋ฐฉ์„ฑ ์ˆ˜์ค€์„ ๋†’์ด๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์žฌ์ •์ž๋ฆฝ๋„๊ฐ€ ๋‚ฎ์€ ์ง€๋ฐฉ์ •๋ถ€์˜ ๊ฒฝ์šฐ ์ค‘์•™์ •๋ถ€์—์„œ ๊ถŒ๊ณ ํ•˜๊ณ  ์žˆ๋Š” ์›๋ฌธ๊ณต๊ฐœ์˜ ์ˆ˜์ค€์„ ๋†’์˜€์„ ๊ฒƒ์œผ๋กœ ํ•ด์„์ด ๊ฐ€๋Šฅํ–ˆ๋‹ค. ์ด ๊ฒฝ์šฐ, ์ง€๋ฐฉ์ •๋ถ€๊ฐ€ ์›๋ฌธ๊ณต๊ฐœ ์ˆ˜์ค€์„ ๋‚ฎ์ถค์œผ๋กœ์จ ๋ฐ›์„ ์ˆ˜ ์žˆ๋Š” ๋น„๋ฐ€์ฃผ์˜์˜ ์ด๋“(incentives) ๋ณด๋‹ค ์›๋ฌธ๊ณต๊ฐœ์œจ์„ ๋†’์—ฌ ์ค‘์•™์ •๋ถ€๋กœ๋ถ€ํ„ฐ ์ข‹์€ ํ‰๊ฐ€๋ฅผ ๋ฐ›์•„ ์ค‘์•™์œผ๋กœ๋ถ€ํ„ฐ์˜ ์žฌ์ • ์ง€์›์— ๊ธ์ •์  ์ƒํ™ฉ์„ ๊ตฌ์„ฑํ•˜๋Š” ๊ฒƒ์ด ๋” ํฐ ์ด๋“์ด ๋˜์—ˆ๊ธฐ ๋•Œ๋ฌธ์œผ๋กœ ์ถ”๋ก ์ด ๊ฐ€๋Šฅํ–ˆ๋‹ค. ๋‹ค์Œ์œผ๋กœ, ์‹œ๋ฏผ๋“ค์˜ ์ฐธ์—ฌ์˜ ๊ธฐํšŒ๋ฅผ ์ œ๊ณตํ•˜๋Š” ๊ณต๊ณต๋ฐ์ดํ„ฐ ์…‹ ๊ฐœ๋ฐฉ์—๋Š” ์ง€๋ฐฉ์ •๋ถ€์˜ ๊ธฐ์ˆ ์  ์—ญ๋Ÿ‰, ์ •๋ณดํ™”๊ณ„ํš ์ˆ˜์ค€, ์ •๋ถ€์˜ ๊ทœ๋ชจ(์ด์ƒ ์กฐ์ง ๋‚ด๋ถ€์š”์ธ), ๊ฐœ๋ณ„ ์‹œ๋ฏผ๋“ค์˜ ๋ชฉ์†Œ๋ฆฌ, ์ธ์ ‘ ์ง€๋ฐฉ์ •๋ถ€์™€์˜ ์ƒํ˜ธ์ž‘์šฉ(์ด์ƒ ์กฐ์ง ์™ธ๋ถ€์š”์ธ)์ด ์œ ์˜๋ฏธํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์˜คํ”ˆ๋ฐ์ดํ„ฐ ๋ชจํ˜•์—์„œ๋Š” ์›๋ฌธ๊ณต๊ฐœ์œจ ๋ชจํ˜•๊ณผ๋Š” ๋‹ค๋ฅด๊ฒŒ ์กฐ์ง ๋‚ด๋ถ€์š”์ธ์˜ ์˜ํ–ฅ์ด ๋”์šฑ ๋‘๋“œ๋Ÿฌ์กŒ๋‹ค. ํŠนํžˆ ๋‚ด๋ถ€ ์š”์ธ ์ค‘ ๊ธฐ์ˆ  ๊ด€๋ จ ์š”์ธ์˜ ์˜ํ–ฅ์ด ๋ช…์‹œ์ ์ด์—ˆ๋‹ค. ์กฐ์ง์˜ ๊ธฐ์ˆ ์  ์—ญ๋Ÿ‰์ด ๋†’์„์ˆ˜๋ก, ์กฐ์ง์˜ ๊ธฐ์ˆ ํ™œ์šฉ ์˜์ง€๊ฐ€ ๋†’์„์ˆ˜๋ก ๊ณต๊ณต๋ฐ์ดํ„ฐ ๊ฐœ๋ฐฉ์— ๋”์šฑ ์ ๊ทน์ ์ธ ๊ฒƒ์œผ๋กœ ๋ณด์ธ๋‹ค. ๋˜ํ•œ, ๊ณต๋ฌด์› ์ˆ˜๋กœ ์ธก์ •๋œ ์ •๋ถ€์˜ ๊ทœ๋ชจ ๋˜ํ•œ ๊ธ์ •์  ์˜ํ–ฅ์„ ๋ฏธ์น˜๊ณ  ์žˆ์—ˆ๋Š”๋ฐ, ์ด๋Š” ์ง€๋ฐฉ์ •๋ถ€๊ฐ€ ๊ณต๊ณต๋ฐ์ดํ„ฐ๋ฅผ ๊ฐœ๋ฐฉํ•˜๊ธฐ ์ „ ๊ณต๊ณต๋ฐ์ดํ„ฐ๋ฅผ ์ƒ์„ฑํ•˜๊ณ  ์ˆ˜์ง‘ํ•  ์‹œ ์กฐ์ง์˜ ํ–‰์ •๋ ฅ์ด ์†Œ์š”๋  ์ˆ˜ ์žˆ์Œ์„ ์‹œ์‚ฌํ•˜๋Š” ๊ฒฐ๊ณผ์˜€๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด, ๊ณต๊ณต๋ฐ์ดํ„ฐ ๊ฐœ๋ฐฉ ์ „์— ๋ฐ์ดํ„ฐ์— ํฌํ•จ๋œ ๋ฏผ๊ฐ ์ •๋ณด๋ฅผ ๋ถ„๋ฆฌ, ๋น„์‹๋ณ„ํ™”ํ•ด์•ผํ•˜๋ฉฐ ์ €์ž‘๊ถŒ ๋“ฑ์˜ ๋ฌธ์ œ๋ฅผ ๊ฒ€ํ† ํ•ด์•ผ ํ•˜๋Š” ๋“ฑ์˜ ์ ˆ์ฐจ๋“ค๋กœ ์ธํ•ด ๊ณต๊ณต๋ฐ์ดํ„ฐ ๊ฐœ๋ฐฉ์—๋Š” ์ผ์ • ์ˆ˜์ค€์˜ ํ–‰์ •๋ ฅ์ด ํ•„์š”ํ•œ ๊ฒƒ์œผ๋กœ ๋ณด์ธ๋‹ค. ๋˜ํ•œ, ๊ณต๊ณต๋ฐ์ดํ„ฐ์˜ ๊ฐœ๋ฐฉ์—๋Š” ๊ฐœ๋ณ„ ์‹œ๋ฏผ๋“ค์˜ ๋ชฉ์†Œ๋ฆฌ(๋ฏผ์› ์ œ๊ธฐ)์˜ ์œ ์˜๋ฏธํ•œ ์˜ํ–ฅ์ด ๊ฒ€์ฆ๋˜์—ˆ๋Š”๋ฐ, ์›๋ฌธ๊ณต๊ฐœ์œจ๊ณผ๋Š” ๋‹ฌ๋ฆฌ ์˜คํžˆ๋ ค ์‹œ๋ฏผ๋“ค์˜ ๋ชฉ์†Œ๋ฆฌ๊ฐ€ ๋†’๊ฒŒ ํ‘œ์ถœ๋  ๋•Œ ๋ฐ์ดํ„ฐ๋ฅผ ๋” ๋งŽ์ด ๊ฐœ๋ฐฉํ•˜๋Š” ์–‘์ƒ์„ ๋ณด์˜€๋‹ค. ์ด์— ๋Œ€ํ•ด์„œ๋Š” ์ง€๋ฐฉ์ •๋ถ€๊ฐ€ ํ•ด๊ฒฐํ•˜์ง€ ๋ชปํ•˜๋Š” ์ง€์—ญ์˜ ๋ฌธ์ œ์— ๋Œ€ํ•ด ๋ฐ์ดํ„ฐ ๊ฐœ๋ฐฉ์„ ๋” ์ ๊ทน์ ์œผ๋กœ ์‹ค์‹œํ•จ์œผ๋กœ์จ, ์ง€์—ญ ์‹œ๋ฏผ๋“ค๊ณผ ๋ฌธ์ œ๋ฅผ ๊ณต๋™์œผ๋กœ ํ•ด๊ฒฐํ•˜๋ ค๋Š” ๋ชจ์Šต์œผ๋กœ ํ•ด์„ํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋˜ํ•œ, ์›๋ฌธ๊ณต๊ฐœ์œจ ๋ชจํ˜•๊ณผ ์œ ์‚ฌํ•˜๊ฒŒ ๊ณต๊ณต๋ฐ์ดํ„ฐ ๊ฐœ๋ฐฉ์—๋„ ์ธ์ ‘ ์ง€๋ฐฉ์ •๋ถ€์˜ ๊ธ์ •์  ์˜ํ–ฅ์ด ํ™•์ธ๋˜์—ˆ๋‹ค. ์ธ์ ‘ ์ง€๋ฐฉ์ •๋ถ€์˜ ์šฐ์ˆ˜ํ•œ ๊ณต๊ณต๋ฐ์ดํ„ฐ ๊ฐœ๋ฐฉ ์„ฑ๊ณผ๊ฐ€ ์ง€์—ญ์˜ ์–ธ๋ก ์— ๊ณต์œ ๋˜์—ˆ์„ ๊ฒฝ์šฐ, ์ง€๋ฐฉ์ •๋ถ€๋Š” ์ด์— ๋Œ€ํ•ด ๊ธ์ •์  ์ž๊ทน์„ ๋ฐ›์•˜์„ ์ˆ˜ ์žˆ๋‹ค. ๋˜ํ•œ, ์ธ์ ‘ ์ง€๋ฐฉ์ •๋ถ€๋“ค์˜ ๊ณต๋ฌด์›๋“ค์˜ ์ƒํ˜ธ์ž‘์šฉ์„ ํ†ตํ•ด ์ด๋Ÿฌํ•œ ์ง€์—ญ์  ํ™•์‚ฐํšจ๊ณผ๊ฐ€ ์ผ์–ด๋‚ฌ์„ ๊ฐ€๋Šฅ์„ฑ์ด ์กด์žฌํ•œ๋‹ค. ์ด์ƒ์˜ ๋ถ„์„๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์€ ์ด๋ก ์  ํ•จ์˜๋ฅผ ๊ฐ–๋Š”๋‹ค. ์ฒซ์งธ, ๋ณธ ์—ฐ๊ตฌ๋Š” โ€œ์—ด๋ฆฐ ์ง€๋ฐฉ์ •๋ถ€โ€์— ๋Œ€ํ•œ ๊ฐœ๋…์  ์ฐจ์›์„ ๋‘ ๊ฐ€์ง€๋กœ ๊ฐœ๋…ํ™”ํ•˜๊ณ  ์ธก์ •ํ•˜์˜€๋‹ค. ํŠนํžˆ, ํˆฌ๋ช…์„ฑ๊ณผ ์•Œ๊ถŒ๋ฆฌ๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ํ•˜๋Š” ๊ณผ๊ฑฐ ์—ด๋ฆฐ ์ •๋ถ€ ํŒจ๋Ÿฌ๋‹ค์ž„์˜ ํ•ต์‹ฌ์  ๋‚ด์šฉ๊ณผ ์‹œ๋ฏผ์ฐธ์—ฌ์™€ ํ˜‘๋ ฅ์„ ์ค‘์‹ฌ์œผ๋กœ ํ•˜๋Š” 2009๋…„ ์ดํ›„ ๋Œ€๋‘๋œ ์ƒˆ๋กœ์šด ์—ด๋ฆฐ ์ •๋ถ€ ํŒจ๋Ÿฌ๋‹ค์ž„์˜ ํ•ต์‹ฌ์  ๋‚ด์šฉ์„ ๊ฐœ๋…์  ์ฐจ์›์œผ๋กœ ๊ตฌ์„ฑํ•˜๊ณ  ์ด๋ฅผ ๊ฐ๊ฐ ๊ฒฝ์„ฑ ์ž๋ฃŒ๋กœ ์ธก์ •์„ ์‹œ๋„ํ–ˆ๋‹ค. ๋‘˜์งธ, TOE ํ”„๋ ˆ์ž„์›Œํฌ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์—ด๋ฆฐ ์ง€๋ฐฉ์ •๋ถ€์— ๋Œ€ํ•œ ๊ตฌ์กฐ์ ์ธ ๊ฒฐ์ •์š”์ธ์„ ๊ฒ€ํ† ํ–ˆ๋‹ค. ์…‹์งธ, ๋ณธ ์—ฐ๊ตฌ๊ฐ€ ์ œ์•ˆํ•œ TOEN ํ”„๋ ˆ์ž„์›Œํฌ๋Š” ์ง€์—ญ ์‹œ๋ฏผ์˜ ์˜ํ–ฅ, ์ธ์ ‘ ์ง€๋ฐฉ์ •๋ถ€์˜ ์ƒํ˜ธ์ž‘์šฉ์„ ํฌํ•จํ•จ์œผ๋กœ์จ ์ง€๋ฐฉ ์ˆ˜์ค€์˜ ์—ด๋ฆฐ ์ •๋ถ€ ์„ ํ–‰์—ฐ๊ตฌ์—์„œ ์กด์žฌํ•˜๋˜ ํ•™์ˆ ์  ๊ณต๋ฐฑ์„ ํ•ด๊ฒฐํ•˜์˜€๋‹ค. ๋„ท์งธ, ์ •๋ณด๊ฐœ๋ฐฉ์— ๋Œ€ํ•œ ํ–‰์œ„์ž๋กœ์„œ ์ง€๋ฐฉ์ •๋ถ€์˜ ์—ญํ• ์„ ์กฐ๋ช…ํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋‚ด๋ถ€์ •๋ณด์— ๋Œ€ํ•œ ์ง€๋ฐฉ์ •๋ถ€์˜ ํ†ต์ œ, ๋ฐ์ดํ„ฐ ๊ฐœ๋ฐฉ์— ํ•„์š”ํ•œ ์กฐ์ง ๋‚ด๋ถ€์˜ ์—ญ๋Ÿ‰ ๋“ฑ ์ •๋ณด ๊ฐœ๋ฐฉ์— ๋Œ€ํ•œ ์ง€๋ฐฉ์ •๋ถ€์˜ ์ „๋žต์  ํ–‰์œ„์™€ ์˜๋„์  ๋…ธ๋ ฅ์— ๋Œ€ํ•ด์„œ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋…ผ์˜๋ฅผ ์ข…ํ•ฉํ•˜์—ฌ ๋„์ถœํ•œ ์ •์ฑ…์  ํ•จ์˜๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ง€๋ฐฉ์ •๋ถ€์˜ ๋‚ด๋ถ€ ํ™œ๋™ ์ •๋ณด์— ๋Œ€ํ•œ ๊ฐœ๋ฐฉ์ˆ˜์ค€(์›๋ฌธ๊ณต๊ฐœ์œจ)์„ ๋†’์ด๊ธฐ ์œ„ํ•ด์„œ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๋ฐฉ์•ˆ์ด ๊ณ ๋ ค๋  ์ˆ˜ ์žˆ๋‹ค. ์šฐ์„ , ์›๋ฌธ๊ณต๊ฐœ์œจ๊ณผ ์ง€๋ฐฉ์ •๋ถ€ ํ‰๊ฐ€์ง€ํ‘œ์˜ ์—ฐ๊ณ„๊ฐ€ ํ•„์š”ํ•˜๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ์›๋ฌธ๊ณต๊ฐœ์œจ ์‹ค์ ์— ๋”ฐ๋ผ ์ง€๋ฐฉ์ •๋ถ€๊ฐ€ ์ฒด๊ฐํ•  ๋งŒํ•œ ๋ณด์ƒ ํ˜น์€ ๋ถˆ์ด์ต์„ ์ œ๊ณตํ•ด์•ผํ•œ๋‹ค. ๋˜ํ•œ, ํ˜„์žฌ ์ง„ํ–‰๋˜๋Š” ์ง€๋ฐฉ์ •๋ถ€์˜ ์ •๋ณด๊ณต๊ฐœ ํ‰๊ฐ€ ๋Œ€์ƒ ์ง‘๋‹จ์˜ ๊ตฌ๋ถ„์ด ์ง€์—ญ๋ณ„ ํ˜น์€ ๊ถŒ์—ญ๋ณ„๋กœ ์ด๋ฃจ์–ด์ ธ์•ผํ•œ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ์ •๋ณด ๊ฐœ๋ฐฉ์— ๋Œ€ํ•œ ์ง€๋ฐฉ์ •๋ถ€๋“ค๊ฐ„ ๊ณต๊ฐ„์  ์ƒํ˜ธ์ž‘์šฉ์˜ ํšจ๊ณผ๋ฅผ ๊ทน๋Œ€ํ™”ํ•ด์•ผํ•œ๋‹ค. ๋˜ํ•œ ๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋ฅผ ํ†ตํ•ด ๋‚˜์˜จ ๊ฒฐ์ •์š”์ธ๋“ค์„ ๋ฐ”ํƒ•์œผ๋กœ, ์›๋ฌธ๊ณต๊ฐœ์œจ์ด ๋‚ฎ์„ ๊ฒƒ์œผ๋กœ ์˜ˆ์ƒ๋˜๋Š” ์ง€์—ญ์— ๋Œ€ํ•œ ๊พธ์ค€ํ•œ ๋ชจ๋‹ˆํ„ฐ๋ง์ด ํ•„์š”ํ•˜๋‹ค. ์‹œ๋ฏผ๋“ค์˜ ์ฐธ์—ฌ๋ฅผ ๋†’์ผ ์ˆ˜ ์žˆ๋Š” ๋ฐ์ดํ„ฐ ๊ฐœ๋ฐฉ์„ ์ด‰์ง„ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๋ฐฉ์•ˆ์ด ๊ณ ๋ ค๋  ์ˆ˜ ์žˆ๋‹ค. ์šฐ์„ , ํ–‰์ •๋ ฅ ๊ทœ๋ชจ๊ฐ€ ์ž‘์€ ์ง€๋ฐฉ์ •๋ถ€์— ๋Œ€ํ•ด ๊ธฐ์ˆ ์  ์ง€์›์„ ํ•˜๊ฑฐ๋‚˜ ๊ณต๋ฌด์›์„ ์žฌ๊ต์œกํ•˜๋Š” ๋“ฑ ์กฐ์ง ๋‚ด๋ถ€์š”์ธ์„ ์ค‘์‹ฌ์œผ๋กœ ์ง€์›ํ•˜๋Š” ๊ฒƒ์ด ํ•„์š”ํ•˜๋‹ค. ๋˜ํ•œ ๋ฐ์ดํ„ฐ ๊ฐœ๋ฐฉ์— ์†Œ์š”๋˜๋Š” ํ–‰์ •๋ ฅ ์†Œ์š”๋ฅผ ํšจ์œจํ™”ํ•˜๋Š” ๋ฐฉ์•ˆ์„ ๊ฐ•๊ตฌํ•ด์•ผ ํ•œ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ๋†’์€ ๊ณต๊ณต๋ฐ์ดํ„ฐ ๊ฐœ๋ฐฉ ์ˆ˜์ค€์„ ๋ณด์ด๋Š” ์ง€๋ฐฉ์ •๋ถ€์— ๋Œ€ํ•œ ์ง€์†์ ์ธ ์„ฑ๊ณต์‚ฌ๋ก€ ๋ฐœ๊ตด๊ณผ ์„ฑ๊ณผ ํ™•์‚ฐ์„ ํ†ตํ•ด ์ž์œจ์ ์ธ ๊ฐœ๋ฐฉ์„ฑ ์ฆ์ง„ ๋…ธ๋ ฅ์ด ํ•„์š”ํ•˜๋‹ค.One important underlying condition of a properly functioning local democracy is an informed citizenry, which can be satisfied when the active opening of government information is possible. In many countries, central governments have led initiatives to promote the release of government information and data in public organizations, including local governments. However, despite the central governmentโ€™s efforts, local governmentsโ€™ level of openness varies greatly. Therefore, this dissertation focuses on this variation at the local level and attempts to identify the determinants of openness of government information (OGI). A review of the OGI-related literature found several research gaps. Firstly, most OGI studies have emphasized the external influence of local government in explaining the determinants of OGI. Accordingly, overlooked is the importance of the internal force of local governments in OGI. Secondly, the literature recognizes the importance of local citizens but has failed to empirically verify their impact on OGI in local governments. Thirdly, previous literature fails to consider the dynamic policy environment at the local level. The extant literature neglected spatial attributes of local governments and has yet to address the possibility of interactions among neighboring local governments on OGI. To fill these gaps in the literature, this study establishes and verifies a TOEN framework based on the Technology-Organization-Environment (TOE) framework. For analysis, the author collected a five-year panel data (2015โ€“2019) of Korean local governments (226 lower-level governments, Sejong, and Jeju). The author measured the OGI, this dissertationโ€™s dependent variable, with the disclosure rate of administrative documents (DRAD) and the number of open data sets. The empirical analysis was performed through two models for each of the two dependent variables. First, comprises technology-related factors (technical capacity, information communication technology (ICT)-related resource, and the technology utilization planning level of government), organization factors (government size, financial autonomy, and political ideology of the governmentโ€™s leaders), and environmental factors (influence from local politics, a local election year, political competition, influence from local citizens, organized local citizens, and individual citizens, and local legislation). Panel linear regression with the fixed-effects model is employed to verify the influence of these factors. Next, validates the impact of neighboring local governments. includes all the variables in and also uses a panel spatial regression (spatial lag model) with fixed effects as an estimation method. The findings for each dependent variable are summarized as follows. First, in terms of the opening internal administrative activities (DRAD), the political ideology of the government leader, information communication technology (ICT) personnel, financial capability, political competition, citizensโ€™ voice (complaints), related local ordinance, and interaction between adjacent governments were significant. Notably, the DRAD is determined within the relational dynamics between local government and external actors. Local governments raise the openness level when their local political condition is favorable and decrease openness when facing unfavorable political pressure. For example, when political competition with local councils is high, and citizensโ€™ voices are high, DRAD is lowered. These findings show that local governments still exert control over their administrative information and seem to make strategic adjustments according to their political interests. On the other hand, the enactment of the local ordinance related to openness and the influence of neighboring governments positively affected the DRAD. The spatial interaction between local governments regarding the DRAD shows the possibility of a regional spill-over effect on the OGI. Among internal factors, the local government with a progressive government leader and lower financial capability actively discloses their internal administrative documents. As for the opening of public data sets that provide opportunities for citizens to participate, the technical capacity, plan for technology utilization, government size, citizensโ€™ voice, and interaction between neighboring governments were the significant determinants. Unlike the DRAD model, the effects of internal drivers are quite apparent in this model. In particular, the influences of technology-related factors are prominent. The local government with higher technical capacity and higher willingness to utilize technology in the organization are actively opening their public data to the public. Moreover, government size measured with the number of public officials positively affects the opening data. This finding implies that opening public data can accompany a certain level of administrative capacity. The local governments open more data when confronted by more citizensโ€™ voices, interpreted to mean that local governments provide open data to collaboratively address such dissatisfaction employing the local communitiesโ€™ capability. Similar to the DRAD model, the open data model identified the positive influence of neighboring governments. If local media shared the excellent performance of open data of neighboring governments, local government could be positively stimulated. These results have the following theoretical implications. First, this study conceptualized and measured two dimensions of โ€œopen government.โ€ In particular, this dissertation encompasses the core concept of the โ€œold open governmentโ€ paradigm centered on transparency and right-to-know and the core concept of the โ€œnew open governmentโ€ centered on citizen participation and collaboration. This study investigated the two concepts measured in hard data. Second, this research examined and verified systematic contexts that explain OGI at the local level. Third, the TOEN framework for the local open government, expanded from the TOE framework, filled the research gaps in the open government literature. The TOEN framework contains the influence of local citizens and neighboring governments mentioned in previous studies as limitations or for future study. Fourth, this study illuminated the role of local government as an active actor in opening government information, revealing local governmentsโ€™ strategic actions and intentional efforts to raise openness of government information. Policy implications derived from the findings are as follows. To increase the level of opening the internal administrative process of local government, consider the following measures can. First, local government needs to introduce stricter management on DRAD. The performance of local governmentsโ€™ DRAD can be reflected in the annual local government assessment so that they are provided advantages or disadvantages depending on their opening level. Second, the group subject classification to the current local governmentโ€™s information disclosure evaluation should be by region. Through this, the effect of spatial interaction between local governments on OGI can be maximized. Third, based on the key determinants from the results of this study, the areas need to be continuously monitored where the expectation is that DRAD is low. To promote data openness that can enhance citizen participation, the study suggests the following measures. First, provide technical support or retraining public officials to small local governments. Second, streamline the workload for filtering personal information and copyright issues when opening public data. Third, consistently publicize open data performance and share best practices for open data at the local level.Chapter 1. Introduction 1 1.1. Backgrounds and Purpose of This Dissertation 1 1.2. The Scope and Method of This Research 7 1.2.1. Research Subject and Scope 7 1.2.2. Research Method 8 1.3. Plan of This Study 10 Chapter 2. Theoretical Backgrounds and Literature Review 11 2.1. Openness of Government Information: Conceptual Definition and Backgrounds 11 2.1.1. Defining Government Information 11 2.1.2. Defining Government Openness: From the Open Government Perspective 14 2.1.3. Definition of Openness of Government Information in This Dissertation 25 2.2. Expected Effects of Openness of Government Information 27 2.2.1. Positive Effects of Openness of Government Information 27 2.2.2. Negative Effects of Openness of Government Information 30 2.3. What Factors Make Governments Open Their Information? 33 2.3.1. Related Theories 33 2.3.2. Prior Studies of Openness of Government Information 46 2.4. Openness of Government Information in Local Government Context 57 2.4.1. Local Government as a Social Actor 57 2.4.2. Institutional Contexts of Korean Local Governments 61 2.4.3. Relatively Neglected Influences on OGI at the Local Level 70 2.5. Summary and Review 75 2.5.1. Summary 75 2.5.2. The Limitations of Prior Studies and Significance of This Research 77 Chapter 3. Methodology 81 3.1. Research Framework 81 3.2. Research Hypotheses 88 3.2.1. Technology-related Factors 88 3.2.2. Organization Factors 91 3.2.3. Environmental Factors 95 3.2.4. Neighboring Government Factor 101 3.3. Measurements and Data Collection 104 3.3.1. Dependent Variables 104 3.3.2. Independent Variables 107 3.3.3. Control Variables 115 3.4. Analysis Plan 119 3.4.1. Model 1: Panel Linear Regression Analysis 119 3.4.2. Model 2: Panel Spatial Regression Analysis 121 Chapter 4. Results 124 4.1. Descriptive Statistics 124 4.1.1. Disclosure Rate of Administrative Documents (DRAD) 145 4.1.2. The Number of Open Data Sets 130 4.1.3. Descriptive Statistics for Independent variables 135 4.2. Determinants of DRAD 143 4.2.1. Results of 143 4.2.2. Results of 148 4.2.3. Summary and Discussion 152 4.3. Determinants of Open Data 156 4.3.1. Results of 156 4.3.2. Results of 160 4.3.3. Summary and Discussion 164 Chapter 5. Conclusion 168 5.1. Summary of This Dissertation 168 5.2. Theoretical and Policy Implications 172 5.3. Limitations and Directions for Future Study 178 Bibliography 180 Appendix 212 Abstract in Korean 214๋ฐ•

    A Study on Factors influencing on Digital Literacy of New Disadvantaged Groups in Korea : Focusing on North Korean Defectors and Marriage Immigrants

    No full text
    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ํ–‰์ •๋Œ€ํ•™์› : ํ–‰์ •๋Œ€ํ•™์› ํ–‰์ •ํ•™๊ณผ ์ •์ฑ…ํ•™ ์ „๊ณต, 2016. 2. ๊น€๋™์šฑ.๋Œ€ํ•œ๋ฏผ๊ตญ์€ ์šฐ์ˆ˜ํ•œ ICT์ธํ”„๋ผ ์ˆ˜์ค€๊ณผ ๊ตญ๋ฏผ๋“ค์˜ ๋†’์€ ICT์ดํ•ด๋„์™€ ์ด์šฉ๋Šฅ๋ ฅ์„ ๋ฐ”ํƒ•์œผ๋กœ ์ „ ์„ธ๊ณ„์—์„œ ICT๊ฐ•๊ตญ์œผ๋กœ์„œ ์ž๋ฆฌ๋งค๊น€ํ•˜๊ณ  ์žˆ๋‹ค. ๋Œ€ํ•œ๋ฏผ๊ตญ์˜ ์ด๋Ÿฌํ•œ ์šฐ์ˆ˜ํ•œ ์ •๋ณดํ™” ์ˆ˜์ค€์€ ์ •๋ณด์˜ ๊ณต์œ ์™€ ์ง€์‹์˜ ๋ณดํŽธํ™”๋ผ๋Š” ๊ธ์ •์ ์ธ ์ธก๋ฉด์„ ๊ฐ€์ ธ์˜ค๊ธฐ๋„ ํ•˜์˜€์ง€๋งŒ, ICT ์ด์šฉ์— ๋Šฅ์ˆ™ํ•˜์ง€ ๋ชปํ•œ ์‚ฌ๋žŒ๋“ค์€ ์ž์—ฐ์Šค๋ ˆ ์šฐ๋ฆฌ์‚ฌํšŒ์˜ ์ •๋ณด์†Œ์™ธ๊ณ„์ธต์„ ๊ตฌ์„ฑํ•˜๊ฒŒ ๋˜์—ˆ๋‹ค. ์ตœ๊ทผ์—๋Š” ๊ธ‰๊ฒฉํ•œ ๊ตญ์ œํ™”์™€ ๊ตญ๋‚ด์™ธ์ ์ธ ์ƒํ™ฉ๋“ค๋กœ ์ธํ•˜์—ฌ ๊ตญ๋‚ด๋กœ ์ด์ฃผํ•ด์˜จ ๊ณ„์ธต์ธ ๊ฒฐํ˜ผ์ด๋ฏผ์ž(๊ฒฐํ˜ผ์ด์ฃผ์—ฌ์„ฑ)์™€ ๋ถํ•œ์ดํƒˆ์ฃผ๋ฏผ๋“ค์ด ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ์ด๋“ค ์ด์ฃผ๋ฏผ๊ณ„์ธต์ด ์šฐ๋ฆฌ์‚ฌํšŒ์˜ ์ƒˆ๋กœ์šด ์ •๋ณด์†Œ์™ธ๊ณ„์ธต์œผ๋กœ ์—ฌ๊ฒจ์ง€๊ณ  ์žˆ๋‹ค. ์ด์— ๋”ฐ๋ผ ์ด ๋…ผ๋ฌธ์—์„œ๋Š” ์šฐ์„  ์ƒˆ๋กœ์šด ์ •๋ณด์†Œ์™ธ๊ณ„์ธต์ธ ๋ถํ•œ์ดํƒˆ์ฃผ๋ฏผ๊ณผ ๊ฒฐํ˜ผ์ด๋ฏผ์ž๋“ค์˜ ์ •๋ณดํ™”์—ญ๋Ÿ‰(์ปดํ“จํ„ฐ์ด์šฉ๋Šฅ๋ ฅ, ์ธํ„ฐ๋„ท์ด์šฉ๋Šฅ๋ ฅ)์ด ์ผ๋ฐ˜๊ตญ๋ฏผ์˜ ์ •๋ณดํ™”์—ญ๋Ÿ‰๊ณผ ์–ด๋Š ์ •๋„ ๊ฒฉ์ฐจ๊ฐ€ ์กด์žฌํ•˜๋Š”์ง€ ์•Œ์•„๋ณด๊ณ ์ž ํ•˜์˜€๋‹ค. ๋˜ํ•œ ๊ทธ ์ดํ›„์— ์ด๋“ค์˜ ์ •๋ณดํ™”์—ญ๋Ÿ‰์— ์–ด๋– ํ•œ ์š”์ธ๋“ค์ด ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”์ง€ ์•Œ์•„๋ณด๊ณ ์ž ํ•˜์˜€๋‹ค. ์ด๋ฅผ ์œ„ํ•˜์—ฌ ํ•œ๊ตญ์ •๋ณดํ™”์ง„ํฅ์›์—์„œ ์กฐ์‚ฌํ•œ 2014 ์ •๋ณด๊ฒฉ์ฐจ์ง€์ˆ˜ ๋ฐ ์‹คํƒœ์กฐ์‚ฌ์˜ ์›์ž๋ฃŒ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ, ๋‹ค์ค‘ํšŒ๊ท€๋ถ„์„์„ ํ†ตํ•˜์—ฌ ๊ฒ€์ฆํ•ด๋ณด์•˜๋‹ค. ๋ถ„์„ ๊ฒฐ๊ณผ, ์ปดํ“จํ„ฐ์ด์šฉ๋Šฅ๋ ฅ์— ์žˆ์–ด์„œ๋Š” ๋ถํ•œ์ดํƒˆ์ฃผ๋ฏผ๊ณผ ์ผ๋ฐ˜๊ตญ๋ฏผ ์‚ฌ์ด์— ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜๋ฏธํ•œ ์ฐจ์ด๋Š” ์กด์žฌํ•˜์ง€ ์•Š์•˜์œผ๋‚˜. ๊ฒฐํ˜ผ์ด๋ฏผ์ž์˜ ์ปดํ“จํ„ฐ์ด์šฉ๋Šฅ๋ ฅ์— ์žˆ์–ด์„œ๋Š” ์ผ๋ฐ˜๊ตญ๋ฏผ๋“ค๊ณผ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜๋ฏธํ•œ ์ฐจ์ด๊ฐ€ ์กด์žฌํ•˜์˜€๋‹ค. ์ธํ„ฐ๋„ท์ด์šฉ๋Šฅ๋ ฅ์— ์žˆ์–ด์„œ๋Š” ๋ถํ•œ์ดํƒˆ์ฃผ๋ฏผ๊ณผ ๊ฒฐํ˜ผ์ด๋ฏผ์ž ๋ชจ๋‘ ์ผ๋ฐ˜ ๊ตญ๋ฏผ๊ณผ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜๋ฏธํ•œ ์ฐจ์ด๊ฐ€ ์กด์žฌํ•˜์˜€๋‹ค. ํŠนํžˆ, ์ธํ„ฐ๋„ท์ด์šฉ๋Šฅ๋ ฅ์— ์žˆ์–ด์„œ๋Š” ๋ถํ•œ์ดํƒˆ์ฃผ๋ฏผ๊ณผ ์ผ๋ฐ˜๊ตญ๋ฏผ์˜ ๊ฒฉ์ฐจ๊ฐ€ ๊ฒฐํ˜ผ์ด๋ฏผ์ž์™€์˜ ๊ฒฉ์ฐจ๋ณด๋‹ค ๋” ํฌ๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด์— ๋Œ€ํ•ด์„œ๋Š” ๋ถํ•œ์ดํƒˆ์ฃผ๋ฏผ์˜ ๊ฒฝ์šฐ ๊ตญ๋‚ด ์ž…๊ตญ ํ›„ ํ•„์ˆ˜์ ์œผ๋กœ ํ•˜๋‚˜์›์— ์ž…์†Œํ•˜์—ฌ ์ •๋ณดํ™”๊ธฐ๋ณธ๊ต์œก์„ ๋ฐ›์œผ๋ฏ€๋กœ ์–ด๋Š ์ •๋„ ์ปดํ“จํ„ฐ์ด์šฉ๋Šฅ๋ ฅ์ด ๋ณด์žฅ๋˜๊ธฐ ๋•Œ๋ฌธ์ด๋ผ๊ณ  ํ•ด์„ํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋˜ํ•œ ์ธํ„ฐ๋„ท์ด์šฉ๋Šฅ๋ ฅ์— ์žˆ์–ด์„œ๋Š” ๋ถํ•œ์ด ์ธํ„ฐ๋„ท์ด ์ฒ ์ €ํ•˜๊ฒŒ ํ†ต์ œ๋œ ๊ตญ๊ฐ€๋ผ๋Š” ์ ์—์„œ ๋‹ค๋ฅธ ๊ตญ๊ฐ€์—์„œ ์ด์ฃผํ•ด์˜จ ๊ฒฐํ˜ผ์ด๋ฏผ์ž๋“ค๋ณด๋‹ค๋„ ๋ถํ•œ์ดํƒˆ์ฃผ๋ฏผ๋“ค์˜ ์ธํ„ฐ๋„ท์ด์šฉ๋Šฅ๋ ฅ์ด ๋”์šฑ๋” ๊ฒฐํ•๋œ ๊ฒƒ์œผ๋กœ ์œ ์ถ”ํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ถ”๊ฐ€์ ์œผ๋กœ ๋ถํ•œ์ดํƒˆ์ฃผ๋ฏผ๋“ค์ด ํ•˜๋‚˜์›์— ์ž…์†Œํ•˜์—ฌ ๋ฐ›๊ฒŒ ๋˜๋Š” ์ •๋ณดํ™”๊ธฐ๋ณธ๊ต์œก ์ค‘ ์ธํ„ฐ๋„ท๊ธฐ๋ณธ๊ต์œก์— ์žˆ์–ด์„œ๋„ ์ด๋ฅผ ๊ฐœ์„ ์‹œํ‚ฌ ์ˆ˜ ์žˆ์„ ๋งŒํผ์˜ ๊ต์œก์‹œ๊ฐ„์ด ๋ฐฐ์ •๋˜์–ด ์žˆ์ง€ ์•Š๋Š” ์ด์œ ๋„ ์ž‘์šฉํ•  ์ˆ˜ ์žˆ๋‹ค. ๋Œ€์ฒด์ ์œผ๋กœ ์ผ๋ฐ˜๊ตญ๋ฏผ๊ณผ ์‹  ์†Œ์™ธ๊ณ„์ธต์˜ ์ •๋ณดํ™”์—ญ๋Ÿ‰ ๊ฒฉ์ฐจ๊ฐ€ ํ†ต๊ณ„์ ์œผ๋กœ ์กด์žฌํ•˜๋Š” ๊ฒƒ์— ๋Œ€ํ•ด ํ™•์ธํ•œ ์ดํ›„์—๋Š” ์ด๋Ÿฌํ•œ ๊ฒฉ์ฐจ์— ์˜ํ–ฅ์„ ์ฃผ๋Š” ์š”์ธ๋“ค์€ ๋ฌด์—‡์ผ์ง€์— ๋Œ€ํ•ด ๊ทœ๋ช…ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ๋‹ค์ค‘ํšŒ๊ท€๋ชจํ˜•์„ ํ†ตํ•ด ๋ถ„์„ํ•ด๋ณด์•˜๋‹ค. ์šฐ์„  ์ปดํ“จํ„ฐ์ด์šฉ๋Šฅ๋ ฅ์— ์žˆ์–ด์„œ๋Š” ๋ถํ•œ์ดํƒˆ์ฃผ๋ฏผ์˜ ๊ฒฝ์šฐ ์—ฐ๋ น์ด ์–ด๋ฆด์ˆ˜๋ก, ์—ฌ์„ฑ์ผ์ˆ˜๋ก, ๊ต์œก์ˆ˜์ค€์ด ๋†’์•„์งˆ์ˆ˜๋ก ์ปดํ“จํ„ฐ์ด์šฉ๋Šฅ๋ ฅ์ด ์ฆ๊ฐ€ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ง์—…๊ตฐ ๋ณ€์ˆ˜์— ์žˆ์–ด์„œ๋Š” ์ผ๋ฐ˜๊ตญ๋ฏผ๊ณผ ๊ฒฐํ˜ผ์ด๋ฏผ์ž์™€๋Š” ๋‹ค๋ฅด๊ฒŒ ์ปดํ“จํ„ฐ์ด์šฉ๋Šฅ๋ ฅ์— ๋Œ€ํ•œ ์ง์—…๋ณ„ ์˜ํ–ฅ์š”์ธ์€ ๊ฒ€์ฆ๋˜์ง€ ์•Š์•˜๋‹ค. ๊ฒฐํ˜ผ์ด๋ฏผ์ž์˜ ์ปดํ“จํ„ฐ์ด์šฉ๋Šฅ๋ ฅ์— ๋Œ€ํ•ด์„œ๋Š” ๊ฐ€๊ตฌ ์›” ์†Œ๋“์ด ๋†’์•„์งˆ์ˆ˜๋ก, ์ฃผ๋ถ€ยท๋ฌด์ง์— ๋น„ํ•˜์—ฌ ๊ด€๋ฆฌยท์‚ฌ๋ฌด์ข…์‚ฌ์ž์™€ ๋†๋ฆผยท์–ด์—…์ˆ™๋ จ์ข…์‚ฌ์ž์˜ ์ปดํ“จํ„ฐ์ด์šฉ๋Šฅ๋ ฅ์ด ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ํŠน์ด์‚ฌํ•ญ์œผ๋กœ๋Š” ๊ต์œก์ˆ˜์ค€๋ณ€์ˆ˜์— ์žˆ์–ด์„œ๋Š” ๋ถํ•œ์ดํƒˆ์ฃผ๋ฏผ๊ณผ๋Š” ๋‹ค๋ฅด๊ฒŒ ํšŒ๊ท€๊ณ„์ˆ˜๊ฐ€ (-)๋กœ ๋‚˜์˜ด์œผ๋กœ์จ ๊ฒฐํ˜ผ์ด๋ฏผ์ž๋“ค์˜ ๊ต์œก์ˆ˜์ค€์ด ์ฆ๊ฐ€ํ• ์ˆ˜๋ก ์ด๋“ค์˜ ์ปดํ“จํ„ฐ์ด์šฉ๋Šฅ๋ ฅ์ด ๊ฐ์†Œํ•˜๋Š” ๊ฒฐ๊ณผ๊ฐ€ ๋‚˜์™”๋‹ค. ์ธํ„ฐ๋„ท์ด์šฉ๋Šฅ๋ ฅ์— ์žˆ์–ด์„œ๋Š” ๋ถํ•œ์ดํƒˆ์ฃผ๋ฏผ์˜ ๊ฒฝ์šฐ ์—ฐ๋ น์ด ์–ด๋ฆด์ˆ˜๋ก, ๊ต์œก์ˆ˜์ค€์ด ๋†’์„์ˆ˜๋ก, ์ง์—…๊ตฐ ๋ณ€์ˆ˜์— ์žˆ์–ด์„œ๋Š” ์ฃผ๋ถ€ยท๋ฌด์ง์— ๋น„ํ•ด ๋†๋ฆผยท์–ด์—…์ˆ™๋ จ์ข…์‚ฌ์ž๋“ค๊ณผ ํ•™์ƒ๋“ค์˜ ํ‰๊ท ์ ์ธ ์ธํ„ฐ๋„ท์ด์šฉ๋Šฅ๋ ฅ์ด ๋†’์•˜๋‹ค. ๋˜ํ•œ ๊ฑฐ์ฃผ๊ธฐ๊ฐ„์ด ๋Š˜์–ด๋‚ ์ˆ˜๋ก ๋ถํ•œ์ดํƒˆ์ฃผ๋ฏผ์˜ ํ‰๊ท ์ ์ธ ์ธํ„ฐ๋„ท์ด์šฉ๋Šฅ๋ ฅ์ด ๋†’์•„์ง€๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ๊ฒฐํ˜ผ์ด๋ฏผ์ž์˜ ์ธํ„ฐ๋„ท์ด์šฉ๋Šฅ๋ ฅ์— ์žˆ์–ด์„œ๋Š” ๋‚จ์„ฑ์ผ์ˆ˜๋ก, ๊ฐ€๊ตฌ ์›”์†Œ๋“์ด ๋†’์„์ˆ˜๋ก, ์ฃผ๋ถ€ยท๋ฌด์ง์— ๋น„ํ•ด ๊ด€๋ฆฌยท์‚ฌ๋ฌด์ข…์‚ฌ์ž์ผ์ˆ˜๋ก ์ธํ„ฐ๋„ท์ด์šฉ๋Šฅ๋ ฅ์ด ๋†’์•˜๋‹ค. ๊ฑฐ์ฃผ๊ธฐ๊ฐ„ ๋ณ€์ˆ˜์— ์žˆ์–ด์„œ๋Š” ๋ถํ•œ์ดํƒˆ์ฃผ๋ฏผ๊ณผ๋Š” ๋‹ฌ๋ฆฌ ํšŒ๊ท€๊ณ„์ˆ˜์˜ ๋ถ€ํ˜ธ๊ฐ€ (-)๊ฐ€ ๋‚˜์˜ด์œผ๋กœ์จ ๊ฑฐ์ฃผ๊ธฐ๊ฐ„์ด ์งง์„์ˆ˜๋ก ์ธํ„ฐ๋„ท์ด์šฉ๋Šฅ๋ ฅ์ด ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋Š”๋ฐ, ์ด๋Š” ๊ฒฐํ˜ผ์ด๋ฏผ์ž์˜ ๊ฒฝ์šฐ ์ดˆ๊ธฐ ์ •์ฐฉ ์ ์‘์„ ์œ„ํ•ด ๊ตญ๋‚ด์— ์ž…๊ตญํ•œ ์ดํ›„์— ์ธํ„ฐ๋„ท์„ ํ†ตํ•˜์—ฌ ์ •๋ณด ๊ฒ€์ƒ‰ ๋“ฑ์˜ ํ™œ๋™์„ ์ฃผ๋กœ ๋งŽ์ด ํ•˜๊ธฐ ๋•Œ๋ฌธ์ด๋ผ๊ณ  ์ถ”์ธกํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋˜ํ•œ ๋งˆ์ฐฌ๊ฐ€์ง€๋กœ ํŠน์ด์‚ฌํ•ญ์œผ๋กœ์„œ, ๊ต์œก์ˆ˜์ค€์— ์žˆ์–ด์„œ๋Š” ์ปดํ“จํ„ฐ์ด์šฉ๋Šฅ๋ ฅ๊ณผ ๋งˆ์ฐฌ๊ฐ€์ง€๋กœ ํšŒ๊ท€๊ณ„์ˆ˜์˜ ๋ถ€ํ˜ธ๊ฐ€ (-)๊ฐ€ ๋‚˜์™”๋‹ค. ๊ฒฐํ˜ผ์ด๋ฏผ์ž๋“ค์˜ ์ถœ์‹ ๊ตญ๊ฐ€๋ณ„ ๋ณ€์ˆ˜์— ์žˆ์–ด์„œ๋Š” ์ปดํ“จํ„ฐ์ด์šฉ๋Šฅ๋ ฅ๊ณผ ์ธํ„ฐ๋„ท์ด์šฉ๋Šฅ๋ ฅ ๋ชจ๋‘ ์œ ์˜๋ฏธํ•˜๊ฒŒ ๊ฒ€์ฆ๋˜์ง€๋Š” ๋ชปํ•˜์˜€์ง€๋งŒ, ์กฐ์„ ์กฑ์„ ๋”๋ฏธ๋ณ€์ˆ˜์˜ ๊ธฐ์ค€์œผ๋กœ ํ•˜์—ฌ ํšŒ๊ท€๊ณ„์ˆ˜์˜ ๋ถ€ํ˜ธ๊ฐ€ (-)๋ผ๋Š” ์ ์„ ๋ณผ ๋•Œ, ์–ธ์–ด์˜ ์นœ์ˆ™ํ•จ์ด ์˜ํ–ฅ์„ ์ค„ ๊ฐ€๋Šฅ์„ฑ๋„ ์กด์žฌํ•œ๋‹ค๋Š” ์ ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋ฅผ ์ข…ํ•ฉํ•ด๋ณผ ๋•Œ, ์ •์ฑ…์ ์œผ๋กœ๋Š” ๋ถํ•œ์ดํƒˆ์ฃผ๋ฏผ์˜ ํ•˜๋‚˜์› ๊ต์œก์— ์žˆ์–ด์„œ ๊ธฐ์กด์˜ ์ธํ„ฐ๋„ท ๊ธฐ๋ณธ๊ต์œก์„ ๋”์šฑ ๊ฐ•ํ™”ํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ๊ฒฐํ˜ผ์ด๋ฏผ์ž๋“ค์˜ ๊ฒฝ์šฐ๋Š” ์ปดํ“จํ„ฐ์ด์šฉ๋Šฅ๋ ฅ๊ณผ ์ธํ„ฐ๋„ท์ด์šฉ๋Šฅ๋ ฅ ๋ชจ๋‘์—๊ฒŒ์„œ ๊ฒฉ์ฐจ๋ฅผ ๋ฐœ๊ฒฌํ•˜์˜€์œผ๋ฉฐ, ํŠนํžˆ ์ธํ„ฐ๋„ท์ด์šฉ๋Šฅ๋ ฅ์ด ๊ฑฐ์ฃผ๊ธฐ๊ฐ„์ด ์ฆ๊ฐ€ํ• ์ˆ˜๋ก ๋–จ์–ด์ง€๋Š” ๊ฒƒ์„ ๋ณด์•˜์„ ๋•Œ ์ด๋“ค์ด ์ƒํ™œ ์†์—์„œ ๋‹ค์–‘ํ•œ ์ธํ„ฐ๋„ท์„œ๋น„์Šค๋ฅผ ์ด์šฉํ•˜์—ฌ ์„ฑ๊ณต์ ์œผ๋กœ ๊ตญ๋‚ด์— ์ ์‘ํ•  ์ˆ˜ ์žˆ๋„๋ก ์ง€์†์ ์ธ ์ธํ„ฐ๋„ท์‹ค์šฉ๊ต์œก์ด ํ•„์š”ํ•  ๊ฒƒ์œผ๋กœ ํŒ๋‹จ๋œ๋‹ค.์ œ 1 ์žฅ ์„œ๋ก  1 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ๊ณผ ๋ชฉ์  1 ์ œ 2 ์žฅ ์ด๋ก ์  ๋…ผ์˜์™€ ์„ ํ–‰์—ฐ๊ตฌ 4 ์ œ 1 ์ ˆ ์ •๋ณด๊ฒฉ์ฐจ์— ๋Œ€ํ•œ ์„ ํ–‰์—ฐ๊ตฌ 4 1. ์ •๋ณด๊ฒฉ์ฐจ์˜ ๊ฐœ๋… 4 2. ์‚ฌํšŒ์  ๋ถˆํ‰๋“ฑ ์š”์ธ์œผ๋กœ์„œ์˜ ์ •๋ณด๊ฒฉ์ฐจ 6 3. ์ •๋ณด๊ฒฉ์ฐจ์— ๋Œ€ํ•œ ์ด๋ก ์  ์Ÿ์ : ๋‚™๊ด€๋ก ๊ณผ ๋น„๊ด€๋ก  9 4. ์ •๋ณด๊ฒฉ์ฐจ ์œ ๋ฐœ์š”์ธ์— ๋Œ€ํ•œ ์„ ํ–‰์—ฐ๊ตฌ 11 ์ œ 2 ์ ˆ ์‹  ์†Œ์™ธ๊ณ„์ธต์˜ ํŠน์„ฑ 16 1. ๊ฒฐํ˜ผ์ด๋ฏผ์ž์˜ ํ˜„ํ™ฉ๊ณผ ์ •๋ณด์ด์šฉ๋Šฅ๋ ฅ ์‹คํƒœ 16 2. ๋ถํ•œ์ดํƒˆ์ฃผ๋ฏผ์˜ ํ˜„ํ™ฉ๊ณผ ์ •๋ณด์ด์šฉ๋Šฅ๋ ฅ ์‹คํƒœ 24 3. ๊ฒฐํ˜ผ์ด๋ฏผ์ž์™€ ๋ถํ•œ์ดํƒˆ์ฃผ๋ฏผ์˜ ์ •๋ณดํ™œ์šฉ๋Šฅ๋ ฅ ์ข…ํ•ฉ 28 ์ œ 3 ์žฅ ์—ฐ๊ตฌ๊ฐ€์„ค ๋ฐ ์—ฐ๊ตฌ ์„ค๊ณ„ 30 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ๊ฐ€์„ค ๋ฐ ๋ชจํ˜• 30 1. ์—ฐ๊ตฌ๋ฌธ์ œ 30 2. ์—ฐ๊ตฌ๊ฐ€์„ค 31 3. ์—ฐ๊ตฌ๋ชจํ˜• 33 ์ œ 2 ์ ˆ ์ž๋ฃŒ์ˆ˜์ง‘ ๋ฐ ๋ถ„์„๋ฐฉ๋ฒ• 34 1. ์ž๋ฃŒ ์ˆ˜์ง‘ 34 2. ๋ถ„์„๋ฐฉ๋ฒ• 35 ์ œ 3 ์ ˆ ๋ณ€์ˆ˜์˜ ์กฐ์ž‘์  ์ •์˜์™€ ์ธก์ • 36 1. ์ข…์†๋ณ€์ˆ˜์˜ ์ธก์ • 36 2. ๋…๋ฆฝ๋ณ€์ˆ˜์™€ ํ†ต์ œ๋ณ€์ˆ˜์˜ ์ธก์ • 38 ์ œ 4 ์žฅ ์—ฐ๊ตฌ๊ฒฐ๊ณผ์˜ ๋ถ„์„ ๋ฐ ๋…ผ์˜ 40 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ๋Œ€์ƒ์ž์˜ ์ผ๋ฐ˜์  ํŠน์„ฑ 40 1. ์ธ๊ตฌํ†ต๊ณ„ํ•™์  ํŠน์„ฑ์— ๋Œ€ํ•œ ๊ธฐ์ˆ ํ†ต๊ณ„๋Ÿ‰ 40 2. ์‚ฌํšŒ๊ฒฝ์ œ์  ํŠน์„ฑ์— ๋Œ€ํ•œ ๊ธฐ์ˆ ํ†ต๊ณ„๋Ÿ‰ 43 3. ์‹  ์†Œ์™ธ๊ณ„์ธต์˜ ๊ตญ๋‚ด ์ด์ฃผ๊ด€๋ จ ํŠน์„ฑ 47 ์ œ 2 ์ ˆ ์ •๋ณดํ™”์—ญ๋Ÿ‰์— ๋Œ€ํ•œ ๊ธฐ์ˆ ํ†ต๊ณ„๋Ÿ‰ 48 1. ์ผ๋ฐ˜ ๊ตญ๋ฏผ์˜ ์ •๋ณดํ™”์—ญ๋Ÿ‰์— ๋Œ€ํ•œ ๊ธฐ์ˆ ํ†ต๊ณ„๋Ÿ‰ 48 2. ์‹  ์†Œ์™ธ๊ณ„์ธต ์ •๋ณดํ™”์—ญ๋Ÿ‰์— ๋Œ€ํ•œ ๊ธฐ์ˆ ํ†ต๊ณ„๋Ÿ‰ 49 ์ œ 3 ์ ˆ ์„ค๋ฌธ์˜ ํƒ€๋‹น์„ฑ ๋ฐ ์‹ ๋ขฐ์„ฑ ๋ถ„์„ 52 1. ํƒ€๋‹น์„ฑ ๊ฒ€์ฆ์„ ์œ„ํ•œ ์š”์ธ ๋ถ„์„ 52 2. ์‹ ๋ขฐ๋„ ๋ถ„์„ 54 ์ œ 4 ์ ˆ ์—ฐ๊ตฌ๊ฐ€์„ค์˜ ๊ฒ€์ฆ 55 1. ์˜ ๊ฐ€์„ค ๊ฒ€์ฆ ๊ฒฐ๊ณผ 55 2. ์˜ ๊ฐ€์„ค ๊ฒ€์ฆ ๊ฒฐ๊ณผ 61 ์ œ 5 ์žฅ ๊ฒฐ ๋ก  78 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ๊ฒฐ๊ณผ์˜ ์š”์•ฝ 78 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ์˜ ์ •์ฑ…์  ํ•จ์˜ 81 ์ œ 3 ์ ˆ ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„์  ๋ฐ ํ–ฅํ›„ ์—ฐ๊ตฌ๋ฐฉํ–ฅ 86 ์ฐธ๊ณ ๋ฌธํ—Œ 89 Abstract 96Maste

    ํ•œ๊ตญ์ธ ์น˜์ฃผ์งˆํ™˜ ํ™˜์ž์—์„œ ์œ ์ „์ž๋‹คํ˜•์„ฑ์— ๊ด€ํ•œ ์—ฐ๊ตฌ

    No full text
    Thesis(doctoral)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์น˜์˜ํ•™๊ณผ ์น˜์ฃผ๊ณผํ•™์ „๊ณต,2004.Docto

    ํ›„๋ฐ• ๋ฐ ๋Œ€์กฐ ์ถ”์ถœํ˜ผํ•ฉ๋ฌผ์ด ์น˜์ฃผ์งˆํ™˜์œ ๋ฐœ ์„ฑ๊ฒฌ์˜ ์น˜์ฃผ์งˆํ™˜์–ต์ œ์— ๋ฏธ์น˜๋Š” ํšจ๊ณผ

    No full text
    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์น˜์˜ํ•™๊ณผ ์น˜์ฃผ๊ณผํ•™ ์ „๊ณต,1999.Maste

    ํ›„๋ฐ• ๋ฐ ํ™ํ™”์ข…์ž ์ถ”์ถœํ˜ผํ•ฉ๋ฌผ์ด ์น˜์ฃผ์ธ๋Œ€์„ธํฌ ๋ฐ ๊ณจ์•„์„ธํฌ์˜ ํ™œ์„ฑ๋„ ๋ฐ ๋ฐฑ์„œ์˜ ๋‘๊ฐœ๊ณจ์žฌ์ƒ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ

    No full text
    Magnoliae cortex has been used as a drug for treatment of fractures in Chinese medicine and safflower(Carthamus tinctorius ) has been traditionally used for treatment of blood stasis. The purpose of present study was to examine the biologic effects of magnoliae cortex extract and safflower extract mixture(MSM) on human periodontal ligament cells and fetal rat calvarial osteoblasts and on healing of rat calvarial defects. The ethanolic extracts of magnoliae cortex(MCE), safflower seed(SSE), Zea May L(ZML) were prepared as positive control group. MSM mixed to the ratios of 1 : 1, 1 : 2, 1 : 5 and 1 : 10 were used as test group. The effects of each agents on the growth and survival, ALPase activity, cell proliferation and tissue regenerative effect of each extracts was evaluated by histomorphometric measuring of newly formed bone on the 8 mm defect in rat calvaria after oral administration of 2 ratio groups(1 : 5 and 1 : 10) at 3 different doses (0.1, 0.25 and 0.5g/kg per day). MSM stimulated the growth and survival rate of osteoblasts and PDL cells more than any other agents. The growth and survival rate were increased as the proportion of safflower seed extract was increased. MCE, SSE, ZML stimulated the ALPase activity of osteoblast and PDL cell in comparison to the negative control group. But all groups of MSM regardless of ratio of safflower seed extract stimulated the ALPase activity than any other agent. The ALPase activity was also increased as the proportion of safflower seed extract was increased. Although MCE, SSE, ZML stimulated the proliferation of osteoblasts. 1 : 5 and 1 : 10 ratio MSM showed significant increase in stimulation of proliferation of osteoblasts. No agent significantly increased proliferation of PDL cells. Significant new bone formation were seen where 1 : 5 ratio, 0.5g/kg group and 1 : 10 ratio, 0.25, 0.5g/kg groups were used. These results show that magnoliae cortex extract and safflower seed extract mixture can potentially increase bone regeneration ability.์ด ์—ฐ๊ตฌ๋Š” ์„œ์šธ๋Œ€ํ•™๊ต๋ณ‘์› ์ง€์ •์—ฐ๊ตฌ๋น„์˜ ์ง€์›์— ์˜ํ•ด ์ด๋ฃจ์–ด์กŒ์Šต๋‹ˆ๋‹ค

    ์ƒ๋ถ„ํ•ด์„ฑ ๋‹ค๊ณต์งˆ Calcium Metaphosphate ๋ธ”๋ก์˜ ์กฐ์ง์ ํ•ฉ์„ฑ์— ๊ด€ํ•œ ์—ฐ๊ตฌ

    No full text
    direct bone apposition during bone remodelling. To address these problem, we developed a new ceramic, calcium metaphosphate(CMP), and report herein the biologic response to CMP in subcutaneous tissue, muscle and bone. Porous CMP blocks were prepared by condensation of anhydrous Ca(H2PO4)2Ca(H_2PO_4)_2 to form non-crystalline . Macroporous scaffolds were made using a polyurethane sponge method. CMP block possesses a macroporous structure with approximate pore size range of 0.3-1mm. CMP blocks were implanted in 8mm sized calvarial defect, subcutaneous tissue and muscle of 6 Newzealand White rabbits and histologic observation were performed at 4 and 6 weeks later. CMP blocks in subcutaneous tissue and muscle were well adapted without any adverse tissue reaction and resorbed slowly and spontaneously. Histologic observation of calvarial defect at 4 and 6 weeks revealed that CMP matrix were mingled with and directly apposed to new bone without any intervention of fibrous connective tissue. CMP blocks didn't show any adverse tissue reaction and resorbed spontaneously also in calvarial defect. This result revealed that CMP had a high affinity for bone and was very biocompatible. From this preliminary result, it was suggested that CMP was a promising ceramic as a bone substitute and tissue engineering scaffold for bone formation.์ด ์—ฐ๊ตฌ๋Š” ์„œ์šธ๋Œ€ํ•™๊ต๋ณ‘์› ์ง€์ •์—ฐ๊ตฌ๋น„์˜ ์ง€์›์— ์˜ํ•œ ๊ฒฐ๊ณผ์ž…๋‹ˆ๋‹ค

    ํ‚คํ† ์‚ฐ ๋‚˜๋…ธ ์ฐจํ๋ง‰์˜ ๊ณจ์กฐ์ง ์žฌ์ƒ์œ ๋„ ๋Šฅ๋ ฅ์— ๊ด€ํ•œ ์กฐ์งํ•™์  ์—ฐ๊ตฌ

    No full text
    Chitosan has been widely researched as bone substitution materials and membranes in orthopedic/periodontal applications. Chitosan nanofiber membrane was fabricated by chitosan nanofiber using electrospinning technique. The structure of the membrane is nonwoven, three-dimensional, porous, and nanoscale fiber-based matrix. The aim of this study was to evaluate the biocompatibility of chitosan nanofiber membrane and to evaluate its capacity of bone regeneration in rabbit calvarial defect. Ten mm diameter round cranial defects were made and covered by 2 kinds of membranes (Gore-Tex membrane, chitosan nanofiber membrane) in rabbits. Animals were sacrificed at 4 weeks after surgery. Decalcified specimens were prepared and observed by microscope. Chitosan nanofiber membrane maintained its shape and space at 4 weeks. No inflammatory cells were seen on the surface of the membrane. In calvarial defects, new bone bridges were formed at all defect areas and fused to original old bone. No distortion and resorption was observed in the grafted chitosan nanofiber membrane. However bone bridge formation and new bone formation at the center of the defect could not be seen in Gore-Tex membranes. It is concluded that the novel membrane made of chitosan nanofiber by electrospinning technique may be used as a possible tool for guided bone regeneration
    corecore