18 research outputs found

    Segment-based Spatial Feature Extraction in the Classification of High Resolution Satellite Imagery

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) --์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๊ฑด์„คํ™˜๊ฒฝ๊ณตํ•™๋ถ€, 2009.2.Maste

    Automatic Image-to-image Registration between High-resolution Multisensor Satellite Data in Urban Areas

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ฑด์„คํ™˜๊ฒฝ๊ณตํ•™๋ถ€, 2013. 8. ๊น€์šฉ์ผ.์ตœ๊ทผ์— ๋‹ค์–‘ํ•œ ๊ณ ํ•ด์ƒ๋„ ์œ„์„ฑ์˜์ƒ์˜ ๋ฐœ์‚ฌ์™€ ํ•จ๊ป˜ ์ด๋“ค์— ๋Œ€ํ•œ ๊ฐ€์šฉ์„ฑ์ด ๋†’์•„์ง์— ๋”ฐ๋ผ ๋‹ค์ค‘์„ผ์„œ์™€ ๋‹ค์‹œ๊ธฐ ์˜์ƒ์„ ํ•จ๊ป˜ ์ด์šฉํ•˜์—ฌ ์˜์ƒ์œตํ•ฉ, ๊ฐ์ฒด์ถ”์ถœ, ๋ณ€ํ™”ํƒ์ง€ ๋“ฑ์˜ ๊ณต๊ฐ„์ •๋ณด ๋ถ„์•ผ์— ํ™œ์šฉํ•˜๊ธฐ ์œ„ํ•œ ์—ฐ๊ตฌ๊ฐ€ ํ™œ๋ฐœํžˆ ์ง„ํ–‰๋˜๊ณ  ์žˆ๋‹ค. ์ด๋ฅผ ์œ„ํ•ด์„œ๋Š” ๋‹ค์ค‘์„ผ์„œ ์˜์ƒ ๊ฐ„์˜ ์ •๋ฐ€ํ•œ ๊ธฐํ•˜๋ณด์ •์ด ์„ ํ–‰๋˜์–ด์•ผํ•˜์ง€๋งŒ, ๋ณ€ํ™˜๋ชจ๋ธ ๊ตฌ์„ฑ์„ ์œ„ํ•œ ์ •ํ•ฉ์Œ ์ถ”์ถœ๊ณผ์ •์€ ๋Œ€๋ถ€๋ถ„ ์ˆ˜๋™์œผ๋กœ ์ด๋ฃจ์–ด์ ธ ๋งŽ์€ ์ธ๋ ฅ ๋ฐ ์‹œ๊ฐ„๋น„์šฉ์„ ์†Œ๋ชจํ•˜๋Š” ์›์ธ์ด ๋œ๋‹ค. ๋”ฐ๋ผ์„œ ๊ณ ํ•ด์ƒ๋„ ๋‹ค์ค‘์„ผ์„œ ์œ„์„ฑ์˜์ƒ ๊ฐ„์˜ ์ž๋™ ์ •ํ•ฉ์Œ ์ถ”์ถœ์„ ์œ„ํ•œ ์—ฐ๊ตฌ๊ฐ€ ์š”๊ตฌ๋œ๋‹ค. ์ด์— ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋„์‹ฌ์ง€์—ญ์„ ๋Œ€์ƒ์œผ๋กœ ํ•œ ๊ณ ํ•ด์ƒ๋„ ๋‹ค์ค‘์„ผ์„œ ์œ„์„ฑ์˜์ƒ ๊ฐ„์˜ ๊ธฐํ•˜๋ณด์ • ๊ณผ์ •์„ ์ž๋™ํ™”ํ•˜๊ณ  ์ •ํ™•๋„๋ฅผ ํ–ฅ์ƒ์‹œํ‚ค๊ธฐ ์œ„ํ•œ ๋ฐฉ๋ฒ•๋ก ์„ ๊ฐœ๋ฐœํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ํ˜„์žฌ ์ทจ๋“๋˜๊ณ  ์žˆ๋Š” ๊ณ ํ•ด์ƒ๋„ ์œ„์„ฑ ์„ผ์„œ์ธ ๊ด‘ํ•™์˜์ƒ๊ณผ SAR ์˜์ƒ์— ๋Œ€ํ•ด์„œ, ๊ณ ํ•ด์ƒ๋„ ๊ด‘ํ•™์˜์ƒ ๊ฐ„์˜ ์ž๋™ ๊ธฐํ•˜๋ณด์ •๊ณผ ๊ณ ํ•ด์ƒ๋„ ๊ด‘ํ•™์˜์ƒ๊ณผ SAR ์˜์ƒ ๊ฐ„์˜ ์ž๋™ ๊ธฐํ•˜๋ณด์ •์œผ๋กœ ๋‚˜๋ˆ„์–ด์„œ ๊ฐ๊ฐ์— ๋Œ€ํ•œ ๋ฐฉ๋ฒ•๋ก ์„ ์ œ์•ˆํ•˜์˜€๋‹ค. ๊ณ ํ•ด์ƒ๋„ ๊ด‘ํ•™์˜์ƒ ๊ฐ„ ์ž๋™ ๊ธฐํ•˜๋ณด์ •์„ ์œ„ํ•ด์„œ, SIFT ๊ธฐ๋ฒ•์„ ๊ฐœ์„ ํ•˜์—ฌ ์˜์ƒ ์ „์—ญ์— ๊ฑธ์ณ์„œ ๊ณ ๋ฅด๊ฒŒ ๋ถ„ํฌ๋œ ์ •๋ฐ€ํ•œ ์ •ํ•ฉ์Œ์„ ์ถ”์ถœํ•˜์˜€๋‹ค. ํŠน์ง•์ ์˜ ์ง€์—ญ์  ํŠน์„ฑ์„ ์ด์šฉํ•˜์—ฌ ๊ฑด๋ฌผ์ด๋‚˜ ์‚ฐ์ง€, ๊ทธ๋ฆผ์ž ์ง€์—ญ๊ณผ ๊ฐ™์ด ์˜์ƒ์ด ์ทจ๋“๋  ๋‹น์‹œ์˜ ์„ผ์„œ ์ž์„ธ๋‚˜ ์œ„์น˜, ์ดฌ์˜์‹œ๊ฐ„ ๋“ฑ์— ๋”ฐ๋ผ ์œ„์น˜์ฐจ์ด๋ฅผ ๋ณด์ผ ์ˆ˜ ์žˆ๋Š” ์ง€์—ญ์—์„œ ์ถ”์ถœ๋œ ์ •ํ•ฉ์Œ์„ ํšจ๊ณผ์ ์œผ๋กœ ์ œ๊ฑฐํ•˜์˜€๊ณ , ์ตœ์ข…์ ์œผ๋กœ ์ถ”์ถœ๋œ ์ •ํ•ฉ์Œ์œผ๋กœ ์ „์—ญ์ /์ง€์—ญ์  ๋ณ€ํ™˜๋ชจ๋ธ์„ ๊ตฌ์„ฑํ•จ์œผ๋กœ์จ ๊ธฐํ•˜๋ณด์ • ์ •ํ™•๋„๋ฅผ ํ–ฅ์ƒ์‹œํ‚ค๊ณ ์ž ํ•˜์˜€๋‹ค. ๊ณ ํ•ด์ƒ๋„ ๊ด‘ํ•™์˜์ƒ๊ณผ SAR ์˜์ƒ ๊ฐ„ ์ž๋™ ๊ธฐํ•˜๋ณด์ •์„ ์œ„ํ•ด์„œ, ๊ฐ•๋„๊ธฐ๋ฐ˜๊ณผ ํŠน์ง•๊ธฐ๋ฐ˜ ์ •ํ•ฉ๊ธฐ๋ฒ•์„ ๊ฒฐํ•ฉํ•˜์—ฌ ํŠน์„ฑ์ด ๋‹ค๋ฅธ ๋‹ค์ค‘์„ผ์„œ ์˜์ƒ ๊ฐ„ ๊ธฐํ•˜๋ณด์ • ์ •ํ™•๋„๋ฅผ ํ–ฅ์ƒ์‹œํ‚ค๊ณ ์ž ํ•˜์˜€๋‹ค. ๊ฑด๋ฌผ๋ฐ€์ง‘์ง€์—ญ๊ณผ ๊ฐ™์ด ๋‘ ์„ผ์„œ์—์„œ ๊ธฐํ•˜์ , ๋ฐฉ์‚ฌ์  ์ฐจ์ด๋ฅผ ๋ณด์ด๋Š” ์ง€์—ญ์„ ์œ ์‚ฌ๋„ ์ธก์ • ๋Œ€์ƒ์ง€์—ญ์—์„œ ์ œ์™ธํ•˜์˜€๊ณ , ๊ณตํ†ต๋œ ์„ ํ˜•ํ™”์†Œ๋ฅผ ์ด์šฉํ•˜์—ฌ ์ •๋ฐ€ ์ •ํ•ฉ์Œ์„ ์ถ”์ถœํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ํšจ์šฉ์„ฑ์„ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•˜์—ฌ, ๋Œ€ํ‘œ์ ์ธ ๊ณ ํ•ด์ƒ๋„ ๊ด‘ํ•™์˜์ƒ์ธ QuickBird-2, IKONOS-2, KOMPSAT-2 ์˜์ƒ๊ณผ ๊ณ ํ•ด์ƒ๋„ SAR ์˜์ƒ์ธ TerraSAR-X, Cosmo-SkyMed ์˜์ƒ์„ ์ด์šฉํ•˜์˜€๋‹ค. ์ œ์•ˆ ์•Œ๊ณ ๋ฆฌ์ฆ˜์ด ๋‹ค์–‘ํ•œ ์„ผ์„œ ๋ฐ ์‹คํ—˜์ง€์—ญ ํŠน์„ฑ์—์„œ๋„ ์ ์šฉ์ด ๊ฐ€๋Šฅํ•œ์ง€์— ๋Œ€ํ•œ ๊ฒ€์ฆ๊ณผ ํ•จ๊ป˜, ๊ฐ๊ด€์ ์ธ ์ •ํ™•๋„ ํ‰๊ฐ€๋ฅผ ํ†ตํ•ด ์ œ์•ˆ ๊ธฐ๋ฒ•์˜ ์šฐ์ˆ˜์„ฑ์„ ์ •๋Ÿ‰์ ์œผ๋กœ ํŒ๋‹จํ•˜์˜€๋‹ค. ๊ณ ํ•ด์ƒ๋„ ๊ด‘ํ•™์˜์ƒ ๊ฐ„์˜ ๊ธฐํ•˜๋ณด์ • ์ •ํ™•๋„ ํ‰๊ฐ€ ๊ฒฐ๊ณผ ์•ฝ 1.5m ์ดํ•˜์˜ RMSE๋ฅผ, ๊ด‘ํ•™์˜์ƒ๊ณผ SAR ์˜์ƒ ๊ฐ„ ๊ธฐํ•˜๋ณด์ • ์ •ํ™•๋„ ํ‰๊ฐ€ ๊ฒฐ๊ณผ ์•ฝ 3m ์ดํ•˜์˜ RMSE๋ฅผ ๋„์ถœํ•˜์˜€๋‹ค. ์ด๋Š” ๋ณธ ์—ฐ๊ตฌ์—์„œ ๋น„๊ตํ•œ ๊ธฐ์กด ๊ธฐ๋ฒ•์— ๋น„ํ•ด ์ •ํ™•๋„๊ฐ€ ํ–ฅ์ƒ๋œ ๊ฒฐ๊ณผ์ด๋ฉฐ, ๋„์‹ฌ์ง€์—ญ์„ ๋Œ€์ƒ์œผ๋กœ ์ง„ํ–‰ํ•œ ์„ ํ–‰์—ฐ๊ตฌ๊ฒฐ๊ณผ์™€ ๋น„๊ตํ•ด๋„ ์‹ ๋ขฐํ• ๋งŒํ•œ ์ˆ˜์ค€์˜ ์ •ํ™•๋„์ž„์„ ํ™•์ธํ•˜์˜€๋‹ค. ์ด๋ฅผ ํ†ตํ•ด, ์ œ์•ˆ ๊ธฐ๋ฒ•์ด ๊ณ ํ•ด์ƒ๋„ ๋‹ค์ค‘์„ผ์„œ ์œ„์„ฑ์˜์ƒ์„ ๋‹ค์–‘ํ•œ ๊ณต๊ฐ„์ •๋ณด ๋ถ„์•ผ์— ํ™œ์šฉํ•˜๊ธฐ ์œ„ํ•œ ํšจ๊ณผ์ ์ธ ์ „์ฒ˜๋ฆฌ ๊ธฐ์ˆ ๋กœ ์ ์šฉ๋  ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ์‚ฌ๋ฃŒ๋œ๋‹ค.An increasing number of studies and tasks is being performed using high-resolution commercial satellite sensors due to the high accessibility of such data. There are many applications related with remote sensing, such as image fusion, object extraction, change detection, etc. To incorporate satellite sensors in these applications, image registration is a fundamental preprocessing requirement. However, matching points, which are used for the construction of a transformation model, have usually been extracted manually, requiring considerable human resources, cost, and time. As a result, automatic image-to-image registration has received a great deal of attention. In this study, we develop an automatic image-to-image registration between high-resolution multisensor satellite data in urban areas. The research is categorized into two parts according to the available high-resolution satellite sensors: optical and SAR sensors. The first part is automatic registration between high-resolution optical images, and second is automatic registration between high-resolution optical and SAR images. As part of the registration between optical images, we extract the evenly distributed matching points using the SIFT method. The matching points extracted from shadow regions or from objects with height variations such as buildings or mountains are removed using orientation differences between the features extracted from each image. Then, the matching points are subjected to combined piecewise linear functions and affine transformation for precise registration. As part of the registration between optical and SAR images, we integrate intensity- and feature-based similarity measures. A region such as an area that is dense with buildings is eliminated from the similarity measurement targets because the region has a lot of geometric and radiometric differences between optical and SAR images. Linear features are used to extract precise matching points and construct the transformation model to increase the registration accuracy. Representative high-resolution optical images, IKONOS-2, QuickBird-2, and KOMPSAT-2, and SAR images, TerraSAR-X and Cosmo-SkyMed, were applied to the experiments to evaluate the proposed methods. Through the experiments, it was found that the proposed algorithm could be applied to a diversity of sensors and conditions, and showed outstanding results assessed by quantitative evaluation indexes. The registration accuracies between optical images, and between optical and SAR images, were RMSE of 1.5m, and RMSE of 3.0m, respectively, and all results showed increasing registration accuracy compared with the related results applied in urban areas. These results indicate that the proposed methods can be used as effective preprocessing for the application of high-resolution multisensor data to various spatial information fields.1. ์„œ ๋ก  1 1.1. ์—ฐ๊ตฌ๋ฐฐ๊ฒฝ ๋ฐ ๋™๊ธฐ 1 1.2. ์—ฐ๊ตฌ๋™ํ–ฅ 6 1.2.1. ๊ณ ํ•ด์ƒ๋„ ๊ด‘ํ•™์˜์ƒ ๊ฐ„ ์ž๋™ ๊ธฐํ•˜๋ณด์ • 6 1.2.2. ๊ณ ํ•ด์ƒ๋„ ๊ด‘ํ•™์˜์ƒ๊ณผ SAR ์˜์ƒ ๊ฐ„ ์ž๋™ ๊ธฐํ•˜๋ณด์ • 9 1.3. ์—ฐ๊ตฌ์˜ ๋ชฉ์  ๋ฐ ๋ฒ”์œ„ 13 2. ๊ณ ํ•ด์ƒ๋„ ๊ด‘ํ•™์˜์ƒ ๊ฐ„ ์ž๋™ ๊ธฐํ•˜๋ณด์ • 16 2.1. ๊ฐœ์š” 16 2.2. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• 17 2.2.1. SIFT ๊ธฐ๋ฒ•์„ ์ด์šฉํ•œ ํŠน์ง•์  ๊ฐ„ ์ดˆ๊ธฐ ์œ„์น˜๊ด€๊ณ„ ์ถ”์ • 18 2.2.2. ๊ณต๊ฐ„๊ฑฐ๋ฆฌ์™€ ์›ํ˜•๋ฒ„ํผ๋ฅผ ์ด์šฉํ•œ ์ง€์—ญ์  ์ •ํ•ฉ์Œ ์ถ”์ถœ 25 2.2.3. ํŠน์ง•์  ์ฃผ๋ฐฉํ–ฅ์ •๋ณด๋ฅผ ํ†ตํ•œ ์˜ค์ •ํ•ฉ์Œ ์ œ๊ฑฐ 28 2.2.4. ๊ท ์ผ ๊ฒฉ์ž๋ง ๊ตฌ์„ฑ์„ ํ†ตํ•œ ์ •๋ฐ€ ์ •ํ•ฉ์Œ ์ถ”์ถœ 31 2.2.5. ๋ณ€ํ™˜๋ชจ๋ธ ๊ตฌ์„ฑ 31 2.3. ์‹คํ—˜ ์ ์šฉ ๋ฐ ํ‰๊ฐ€ 34 2.3.1. ์‹คํ—˜๋ฐ์ดํ„ฐ ๋ฐ ํ‰๊ฐ€์ฒ™๋„ 34 2.3.2. ์ ์šฉ ๋ฐ ์‹คํ—˜ ๊ฒฐ๊ณผ 41 2.3.3. ์ •ํ™•๋„ ํ‰๊ฐ€ 53 3. ๊ณ ํ•ด์ƒ๋„ ๊ด‘ํ•™์˜์ƒ๊ณผ SAR ์˜์ƒ ๊ฐ„ ์ž๋™ ๊ธฐํ•˜๋ณด์ • 60 3.1. ๊ฐœ์š” 60 3.2. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• 61 3.2.1. ์ „์ฒ˜๋ฆฌ ๊ณผ์ • 62 3.2.2. ์œ ์‚ฌ๋„ ์ธก์ • ๋Œ€์ƒ์ง€์—ญ ์ถ”์ถœ 64 3.2.3. ์ดˆ๊ธฐ ๋ณ€์œ„๋Ÿ‰ ์ถ”์ • 66 3.2.4. ์„ ํ˜•์ •๋ณด๋ฅผ ์ด์šฉํ•œ ์ •ํ•ฉ์Œ ์ถ”์ถœ 74 3.2.5. ์ฟผ๋“œํŠธ๋ฆฌ ์„ธ๋ถ€์˜์—ญ์„ ์ด์šฉํ•œ ์ •๋ฐ€ ์ •ํ•ฉ์Œ ์ถ”์ถœ 76 3.2.6. ๋ณ€ํ™˜๋ชจ๋ธ ๊ตฌ์„ฑ 78 3.3. ์‹คํ—˜ ์ ์šฉ ๋ฐ ํ‰๊ฐ€ 79 3.3.1. ์‹คํ—˜๋ฐ์ดํ„ฐ 79 3.3.2. ์ ์šฉ ๋ฐ ์‹คํ—˜ ๊ฒฐ๊ณผ 83 3.3.3. ์ •ํ™•๋„ ํ‰๊ฐ€ 97 4. ๊ฒฐ ๋ก  102 5. ์ฐธ๊ณ ๋ฌธํ—Œ 105 ๋ถ€ ๋ก 116Docto

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ต์œกํ•™๊ณผ(๊ต์œกํ–‰์ •์ „๊ณต), 2013. 2. ์ •๋™์šฑ.IMF ์ดํ›„ ์‚ฌํšŒ์–‘๊ทนํ™” ํ˜„์ƒ์œผ๋กœ ์ธํ•œ ์‚ฌํšŒํ†ตํ•ฉ ์ €ํ•ด, ์ง€์—ญ ๊ฐ„๏ฝฅ๊ณ„์ธต ๊ฐ„ ๊ฒฝ์ œ์  ์ฐจ์ด, ๊ต์œก ๋ถˆํ‰๋“ฑ, ์ด๋กœ ์ธํ•œ ๊ต์œก์†Œ์™ธํ•™์ƒ ๋ฌธ์ œ์˜ ์‹ฌ๊ฐ์„ฑ๊ณผ ์‚ฌํšŒ์  ์ง€์›์ด ํ•„์š”ํ•˜๋‹ค๋Š” ๊ฒƒ์— ๋Œ€ํ•œ ๊ณต๊ฐ๋Œ€๊ฐ€ ํ˜•์„ฑ๋˜์—ˆ๋‹ค. ๊ต์œก๋ณต์ง€์šฐ์„ ์ง€์›์‚ฌ์—…(๊ตฌ ๊ต์œก๋ณต์ง€ํˆฌ์ž์šฐ์„ ์ง€์—ญ ์ง€์›์‚ฌ์—…)์€ ๊ณต๊ต์œก์„ ํ†ตํ•ด ์ด๋Ÿฌํ•œ ์‚ฌํšŒ๋ฌธ์ œ๋ฅผ ์™„ํ™”ํ•˜๊ณ ์ž 2003๋…„๋„๋ถ€ํ„ฐ ์‹œ์ž‘๋˜์—ˆ๋‹ค. ๊ต์œก๋ณต์ง€์šฐ์„ ์ง€์›์‚ฌ์—…์€ ์†Œ์™ธ๊ณ„์ธต์„ ์œ„ํ•œ ๋‹จ์ˆœํ•œ ์ง€์›์„ ๋„˜์–ด ํ•™์ƒ์˜ ์ž ์žฌ์ ์ธ ์„ฑ์žฅ๋Šฅ๋ ฅ์„ ํ‚ค์šฐ๊ณ ์ž ํ•˜๋Š” ๊ณต๊ต์œก์˜ ์ •์ฑ…์  ์ ‘๊ทผ์ด๋ผ๋Š” ์ ์—์„œ ๋‚ด์‹ค ์žˆ๋Š” ์šด์˜์ด ์š”๊ตฌ๋œ๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ์‚ฌ์—…์˜ ํšจ๊ณผ ๋ถ„์„ ๋ฐ ๊ฐœ์„ ์„ ์œ„ํ•œ ์ง€์†์ ์ธ ์ ๊ฒ€์„ ํ†ตํ•ด ๊ต์œก์†Œ์™ธ ํ•™์ƒ๋“ค์˜ ์ž ์žฌ๋Šฅ๋ ฅ ๊ณ„๋ฐœ๊ณผ ์„ฑ์žฅ์„ ์ด‰์ง„ํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ต์œก๋ณต์ง€์šฐ์„ ์ง€์›์‚ฌ์—…์˜ ํšจ๊ณผ๋ฅผ ๋ถ„์„ํ•˜๊ณ , ๋‹จ์œ„ํ•™๊ต๋ณ„ ์ฐจ๋ณ„์  ํšจ๊ณผ๋ฅผ ๋ถ„์„ํ•œ ๋’ค, ํšจ๊ณผ๊ฐ€ ํฌ๊ฒŒ ๋‚˜ํƒ€๋‚˜๋Š” ํ•™๊ต์™€ ์ž‘๊ฒŒ ๋‚˜ํƒ€๋‚˜๋Š” ํ•™๊ต์˜ ํŠน์„ฑ์„ ๋ถ„์„ํ•˜์—ฌ ์‚ฌ์—…์˜ ๊ฐœ์„ ์„ ์œ„ํ•œ ์ •์ฑ…์  ์‹œ์‚ฌ์ ์„ ์ œ๊ณตํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ์ด๋Ÿฌํ•œ ๋ชฉ์ ์„ ๋ฐ”ํƒ•์œผ๋กœ ๋ณธ ์—ฐ๊ตฌ์—์„œ ์„ค์ •ํ•œ ์—ฐ๊ตฌ๋ฌธ์ œ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ํ•™์ƒ์˜ ํ•™์—…์„ฑ์ทจ์™€ ์ •์„œ๋ฐœ๋‹ฌ ๋ฉด์—์„œ ์‚ฌ์—…ํ•™๊ต์™€ ๋น„์‚ฌ์—…ํ•™๊ต ๊ฐ„ ํ•™๊ตํšจ๊ณผ์˜ ์ฐจ์ด๊ฐ€ ๋‚˜ํƒ€๋‚˜๋Š”๊ฐ€? ๋‘˜์งธ, ํ•™์ƒ์˜ ํ•™์—…์„ฑ์ทจ์™€ ์ •์„œ๋ฐœ๋‹ฌ ๋ฉด์—์„œ ๊ต์œก๋ณต์ง€์šฐ์„ ์ง€์›์‚ฌ์—…์„ ์‹œํ–‰ํ•˜๋Š” ๋‹จ์œ„ํ•™๊ต๋ณ„๋กœ ์ฐจ๋ณ„์  ํšจ๊ณผ๊ฐ€ ๋‚˜ํƒ€๋‚˜๋Š”๊ฐ€? ์…‹์งธ, ํ•™๊ตํšจ๊ณผ๊ฐ€ ํฐ ํ•™๊ต์™€ ์ž‘์€ ํ•™๊ต๋ฅผ ๋น„๊ตํ•  ๋•Œ ํ•™๊ตํŠน์„ฑ์— ์žˆ์–ด์„œ ์–ด๋–ค ์ฐจ์ด๊ฐ€ ๋‚˜ํƒ€๋‚˜๋Š”๊ฐ€? ์ด์— ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์„œ์šธ๊ต์œก์ข…๋‹จ์—ฐ๊ตฌ 2010๋…„๋„์™€ 2011๋…„๋„ ์ž๋ฃŒ๋กœ ๋‹ค์Œ๊ณผ ๊ฐ™์€ ์—ฐ๊ตฌ๋ฐฉ๋ฒ•์œผ๋กœ ๋ถ„์„ํ•˜์˜€๋‹ค. ์ฒซ์งธ, ์„ ํƒํŽธ์˜ ๋ฌธ์ œ๋ฅผ ์ตœ์†Œํ™”ํ•˜๊ธฐ ์œ„ํ•ด ๊ฒฝํ–ฅ์ ์ˆ˜๋งค์นญ๋ฐฉ๋ฒ•(Propensity score matching)์œผ๋กœ ์‚ฌ์—…ํ•™๊ต์™€ ์œ ์‚ฌํ•œ ๋น„์‚ฌ์—…ํ•™๊ต๋ฅผ ์„ ์ •ํ•œ ๋’ค ์œ„๊ณ„์  ์„ ํ˜•๋ชจ๋ธ(Hierarchical Linear Model)์„ ์ด์šฉํ•˜์—ฌ ๊ต์œก๋ณต์ง€์šฐ์„ ์ง€์›์‚ฌ์—…์˜ ํšจ๊ณผ๋ฅผ ๋ถ„์„ํ•˜์˜€๋‹ค. ๋‘˜์งธ, ๋‹จ์œ„ํ•™๊ต๋ณ„ ์ฐจ๋ณ„์  ํšจ๊ณผ๋ถ„์„์„ ์œ„ํ•ด, 1์ฐจ๋…„๋„์— ๋น„ํ•ด 2์ฐจ๋…„๋„์— ํ•™์—…์„ฑ์ทจ๋„์™€ ์ •์„œ๋ฐœ๋‹ฌ์˜ ํ–ฅ์ƒ ์ •๋„๊ฐ€ ์–ด๋–ป๊ฒŒ ๋‚˜ํƒ€๋‚˜๋Š”์ง€ ์‚ฌ์—…์„ ์‹œํ–‰ํ•˜๋Š” ๋‹จ์œ„ํ•™๊ต๋ณ„๋กœ ๋ถ„์„ํ•˜์˜€๋‹ค. ์…‹์งธ, ๋‹จ์œ„ํ•™๊ต๋ณ„ ํšจ๊ณผ ๋ถ„์„ ๊ฒฐ๊ณผ๋ฅผ ํ† ๋Œ€๋กœ ์‚ฌ์—…์˜ ํšจ๊ณผ๊ฐ€ ํ•™์—…์„ฑ์ทจ๋„์™€ ์ •์„œ๋ฐœ๋‹ฌ์— ์žˆ์–ด์„œ ํฌ๊ฒŒ ๋‚˜ํƒ€๋‚˜๋Š” 5๊ฐœ ํ•™๊ต์™€ ์ž‘๊ฒŒ ๋‚˜ํƒ€๋‚˜๋Š” 5๊ฐœ ํ•™๊ต๋ฅผ ๊ฐ๊ฐ ์„ ์ •ํ•œ ๋’ค, ํ•™๊ต ํŠน์„ฑ์— ์žˆ์–ด์„œ ์–ด๋–ค ์ฐจ์ด๊ฐ€ ๋‚˜ํƒ€๋‚˜๋Š”์ง€ ์„œ์šธ๊ต์œก์ข…๋‹จ์—ฐ๊ตฌ์ž๋ฃŒ์™€ ํ•™๊ต์•Œ๋ฆฌ๋ฏธ์ž๋ฃŒ๋ฅผ t๊ฒ€์ • ๋ฐฉ๋ฒ•์œผ๋กœ ๋ถ„์„ํ•˜๊ณ  ์‚ฌ์—…ํ•™๊ต ์šด์˜๊ณ„ํš์„œ๋ฅผ ๋น„๊ตยท๋ถ„์„ํ•˜์˜€๋‹ค. ์ด๋Ÿฌํ•œ ์—ฐ๊ตฌ๋ฐฉ๋ฒ•์„ ํ† ๋Œ€๋กœ ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋ฅผ ์ •๋ฆฌํ•˜๋ฉด ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ๊ต์œก๋ณต์ง€์šฐ์„ ์ง€์›์‚ฌ์—…ํ•™๊ต์™€ ์œ ์‚ฌํ•œ ๋น„์‚ฌ์—…ํ•™๊ต๋ฅผ ์„ ์ •ํ•˜์—ฌ ๊ต์œก๋ณต์ง€์šฐ์„ ์ง€์›์‚ฌ์—…์˜ ํšจ๊ณผ๋ฅผ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ, ์ดˆ๋“ฑํ•™๊ต ์˜์–ด ๊ณผ๋ชฉ์—์„œ ์‚ฌ์—…ํ•™๊ต์— ์žฌํ•™ํ•  ๊ฒฝ์šฐ ์œ ์˜์ˆ˜์ค€ .05์—์„œ 3.865์  ์„ฑ์ทจ๋„๊ฐ€ ๋†’์•„์ง€๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋˜ํ•œ ์„ฑ์ทจ๋ชฉํ‘œ์— ์žˆ์–ด์„œ ๊ต์œก๋ณต์ง€์šฐ์„ ์ง€์›์‚ฌ์—…๊ณผ ์ง‘์ค‘์ง€์›ํ•™์ƒ์—ฌ๋ถ€์˜ ํšŒ๊ท€๊ณ„์ˆ˜๊ฐ€ ์œ ์˜์ˆ˜์ค€ .10์—์„œ 0.240์œผ๋กœ ๋‚˜ํƒ€๋‚˜ ์‚ฌ์—…์ด ํ•™์ƒ๋“ค์˜ ์„ฑ์ทจ๋ชฉํ‘œ์— ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜๋ฏธํ•œ ๊ธ์ •์ ์ธ ํšจ๊ณผ๋ฅผ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ค‘ํ•™๊ต์˜ ๊ฒฝ์šฐ ์ „์ฒด ํ•™์ƒ์— ๋Œ€ํ•œ ํšจ๊ณผ์™€ ์ง‘์ค‘์ง€์›ํ•™์ƒ์— ์ƒํ˜ธ์ž‘์šฉํšจ๊ณผ์— ์žˆ์–ด์„œ ๋ชจ๋‘ ๊ต์œก๋ณต์ง€์šฐ์„ ์ง€์›์‚ฌ์—…์˜ ํšจ๊ณผ๊ฐ€ ๋‚˜ํƒ€๋‚˜์ง€ ์•Š์•˜๋‹ค. ๋‘˜์งธ, ๊ต์œก๋ณต์ง€์šฐ์„ ์ง€์›์‚ฌ์—…์„ ์‹œํ–‰ํ•˜๋Š” ๋‹จ์œ„ํ•™๊ต๋ณ„๋กœ ์ฐจ๋ณ„์  ํšจ๊ณผ๋ฅผ ๋„์ถœํ•œ ๊ฒฐ๊ณผ, ์ง‘์ค‘์ง€์›ํ•™์ƒ์˜ ํ•™์—…์„ฑ์ทจ๋„์™€ ์ •์„œ๋ฐœ๋‹ฌ์— ์žˆ์–ด์„œ ํ–ฅ์ƒ์˜ ์ •๋„๋Š” ํ•™๊ต๋งˆ๋‹ค ๋‹ค๋ฅธ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ํ•™์—…์„ฑ์ทจ๋„์˜ ๊ฒฝ์šฐ ํ•™๊ตํšจ๊ณผ๊ฐ€ ๊ฐ€์žฅ ํฐ ํ•™๊ต์™€ ๊ฐ€์žฅ ์ž‘์€ ํ•™๊ต์˜ ์ฐจ์ด๊ฐ€ ์ดˆ๋“ฑํ•™๊ต๋Š” 17.677์ , ์ค‘ํ•™๊ต๋Š” 25.912์ , ์ •์„œ๋ฐœ๋‹ฌ์˜ ๊ฒฝ์šฐ ์ดˆ๋“ฑํ•™๊ต 0.670, ์ค‘ํ•™๊ต 0.963๋งŒํผ ํ–ฅ์ƒ์ •๋„์— ์žˆ์–ด ์ฐจ์ด๊ฐ€ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์…‹์งธ, ๋‹จ์œ„ํ•™๊ต๋ณ„ ์ฐจ๋ณ„์  ํšจ๊ณผ์˜ ์›์ธ์„ ์‚ดํŽด๋ณด๊ธฐ ์œ„ํ•ด ํ•™๊ต์•Œ๋ฆฌ๋ฏธ์ž๋ฃŒ์™€ ์„œ์šธ๊ต์œก์ข…๋‹จ์—ฐ๊ตฌ ์ž๋ฃŒ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ํ•™๊ตํšจ๊ณผ๊ฐ€ ํฐ ํ•™๊ต์™€ ์ž‘์€ ํšจ๊ณผ์—์„œ ๋‚˜ํƒ€๋‚˜๋Š” ํ•™๊ตํŠน์„ฑ์˜ ์ฐจ์ด๋ฅผ t๊ฒ€์ • ๋ฐฉ๋ฒ•์œผ๋กœ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ, ํ•™๊ตํšจ๊ณผ๊ฐ€ ํฐ ํ•™๊ต์—์„œ ์ดˆ๋“ฑํ•™๊ต์˜ ๊ฒฝ์šฐ ๊ต์‚ฌํ•™๋ ฅ ๋ฐ ๊ต์‚ฌ์˜ ์—ฐ์ˆ˜์ฐธ์—ฌ๊ฐ€ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜๋ฏธํ•˜๊ฒŒ ๋†’์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ค‘ํ•™๊ต์˜ ๊ฒฝ์šฐ ํ•™๊ตํšจ๊ณผ๊ฐ€ ํฌ๊ฒŒ ๋‚˜ํƒ€๋Š” ํ•™๊ต์—์„œ ๋ฐฉ๊ณผํ›„ํ™œ๋™ ์ง€์›ํ•™์ƒ์ˆ˜๊ฐ€ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜๋ฏธํ•˜๊ฒŒ ๋งŽ์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์šด์˜๊ณ„ํš์„œ ๋ถ„์„ ๊ฒฐ๊ณผ, ํ•™๊ตํšจ๊ณผ๊ฐ€ ํฐ ํ•™๊ต์˜ ๊ฒฝ์šฐ ์†Œ๊ทœ๋ชจ์˜ ๋งž์ถคํ˜• ํ•™์Šตํ”„๋กœ๊ทธ๋žจ์„ ์šด์˜ํ•˜๊ณ  ์žˆ์—ˆ์œผ๋ฉฐ, ํ•™์Šต๊ณผ ๋…์„œ๋ฅผ ์—ฐ๊ณ„ํ•˜๋Š” ๋“ฑ ํ•™์ƒ๋“ค์˜ ํฅ๋ฏธ๋ฅผ ๊ณ ๋ คํ•œ ํ”„๋กœ๊ทธ๋žจ์„ ์šด์˜ํ•˜๊ณ  ์žˆ์—ˆ๋‹ค. ํ•™์ƒ๋“ค์˜ ํ•„์š”๋ฅผ ์ถฉ์กฑ์‹œํ‚ค๊ณ ์ž ํ•˜๋Š” ์ ๊ทน์ ์ธ ์ง€์›์ด ๋‚˜ํƒ€๋‚ฌ๊ณ , ํ‰๊ฐ€์— ์ง์ ‘์ ์œผ๋กœ ๋ฐ˜์˜๋˜์ง€ ์•Š๋Š” ๊ฒจ์šธ๋ฐฉํ•™์ค‘ ํ”„๋กœ๊ทธ๋žจ๋„ ๋Œ๋ด„์˜ ์—ฐ๊ณ„๋ฅผ ์œ„ํ•ด ์‹œํ–‰ํ•˜๊ณ  ์žˆ์—ˆ๋‹ค. ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋ฅผ ํ† ๋Œ€๋กœ ๋‹ค์Œ๊ณผ ๊ฐ™์€ ์ •์ฑ…์  ์‹œ์‚ฌ์ ์„ ์ œ๊ณตํ•˜๊ณ ์ž ํ•œ๋‹ค. ์ฒซ์งธ, ์ดˆ๋“ฑํ•™๊ต์™€ ์ค‘ํ•™๊ต์—์„œ ๊ฐ™์€ ์ •์ฑ…์„ ์‹œํ–‰ํ–ˆ์Œ์—๋„ ํšจ๊ณผ๊ฐ€ ๋‹ค๋ฅด๊ฒŒ ๋‚˜ํƒ€๋‚œ ์ ์„ ๊ณ ๋ คํ•  ๋•Œ, ํ•™๊ต๊ธ‰๋ณ„๋กœ ํ•™์ƒ๋“ค์˜ ๋ฐœ๋‹ฌ๋‹จ๊ณ„์— ๋”ฐ๋ผ ์‚ฌ์—…์ด ์ฐจ๋ณ„ํ™”๋œ ๋ฐฉ์‹์œผ๋กœ ์ด๋ฃจ์–ด์ ธ์•ผ ํ•œ๋‹ค. ์ค‘ํ•™๊ต ๋‹จ๊ณ„๋Š” ์กฐ๊ธฐ ๊ฐœ์ž…์ด ํšจ๊ณผ์ ์ด๋ผ๋Š” ์„ ํ–‰์—ฐ๊ตฌ์— ๊ทผ๊ฑฐํ•  ๋•Œ, ์ดˆ๋“ฑํ•™๊ต ๋‹จ๊ณ„์— ๋น„ํ•ด ๋ถ€์ •์ ์ธ ๊ฒฝํ—˜์ด ๋ˆ„์ ๋˜์–ด ์žˆ๊ธฐ ๋•Œ๋ฌธ์— ์‚ฌ์—…์˜ ํšจ๊ณผ๊ฐ€ ๋‚˜ํƒ€๋‚˜์ง€ ์•Š์•˜๋‹ค๊ณ  ์ถ”๋ก ํ•  ์ˆ˜ ์žˆ๋‹ค(๊น€๊ฒฝ์•  ์™ธ, 2011๋ฅ˜๋ฐฉ๋ž€ ์™ธ, 2011๋ฅ˜๋ฐฉ๋ž€ ์™ธ, 2012). ๋˜ํ•œ ์ค‘ํ•™๊ต ์‹œ๊ธฐ๋Š” ๋‹ค๋ฅธ ์‚ฌ๋žŒ์˜ ์‹œ์„ , ๋™๋ฃŒ์ง‘๋‹จ๊ณผ ๊ต์šฐ๊ด€๊ณ„ ๋“ฑ์ด ์ค‘์š”ํ•œ ์‹œ๊ธฐ์ธ๋ฐ(์ž„๊ทœํ˜, 2003), ์‚ฌ์—…์ด ์ง€ํ–ฅํ•˜๋Š” ์ง‘์ค‘์ง€์›์˜ ์›์น™์ด ์ง‘์ค‘์ง€์›ํ•™์ƒ๋“ค์„ ์ผ๋ฐ˜ํ•™์ƒ๋“ค๊ณผ ๋ถ„๋ฆฌ์‹œํ‚ด์œผ๋กœ์จ ์ง‘์ค‘์ง€์›ํ•™์ƒ์— ๋Œ€ํ•œ ๋ถ€์ •์ ์ธ ๋‚™์ธ๊ฐ์„ ํ˜•์„ฑํ•˜๊ณ , ์ง‘์ค‘์ง€์›ํ•™์ƒ๋“ค์˜ ๋™๋ฃŒ์ง‘๋‹จ๊ณผ์˜ ๊ด€๊ณ„๋ฅผ ์ถฉ๋ถ„ํžˆ ๊ณ ๋ คํ•˜์ง€ ๋ชปํ•˜๋Š” ์ธก๋ฉด์ด ์žˆ๋‹ค. ๋˜ํ•œ ๋‹ด์ž„๊ต์‚ฌ์™€ ํ•™์ƒ์˜ ๊ต๋ฅ˜๊ฐ€ ๋” ํ™œ๋ฐœํ•˜๊ฒŒ ์ด๋ฃจ์–ด์ง€๋Š” ์ดˆ๋“ฑํ•™๊ต์˜ ์ฒด๊ณ„๊ฐ€ ์‚ฌ์—…์˜ ํšจ๊ณผ์— ๊ธ์ •์ ์ธ ์˜ํ–ฅ์„ ๋ฏธ์น  ์ˆ˜ ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ์ธก๋ฉด๋“ค์„ ๊ณ ๋ คํ•  ๋•Œ, ์กฐ๊ธฐ๊ฐœ์ž…์ด ํšจ๊ณผ์ ์ธ ์ดˆ๋“ฑํ•™๊ต์—์„œ ํ•™์Šต์„ ์œ„ํ•œ ์ง€์›์ฒด์ œ๋ฅผ ๋” ๊ฐ•ํ™”ํ•˜๊ฑฐ๋‚˜, ์ค‘ํ•™๊ต์˜ ๊ฒฝ์šฐ ์ง‘์ค‘์ง€์›์˜ ์›์น™์„ ์™„ํ™”ํ•˜๊ณ  ํ•™๊ต ๊ฐ„ ๊ฒฉ์ฐจ ํ•ด์†Œ์— ์ดˆ์ ์„ ๋‘๋Š” ๋“ฑ ์ดˆ๋“ฑํ•™๊ต์™€ ์ฐจ๋ณ„ํ™”๋œ ๋ฐฉ์‹์œผ๋กœ ์‚ฌ์—…์ด ์ถ”์ง„๋˜์–ด์•ผ ํ•œ๋‹ค. ๋‘˜์งธ, ์‚ฌ์—…์˜ ์šด์˜๊ณผ ๊ฒฐ๊ณผ๊ฐ€ ํ•™๊ต์˜ ์ „์ฒด์ ์ธ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐ๋˜์–ด ์žˆ์Œ์„ ๊ณ ๋ คํ•˜์—ฌ ์ง€์› ๋ฐ ํ‰๊ฐ€๊ฐ€ ์ด๋ฃจ์–ด์ ธ์•ผ ํ•œ๋‹ค. ๋‹จ์œ„ํ•™๊ต๋ณ„ ํšจ๊ณผ์˜ ์ฐจ์ด๋Š” ์‚ฌ์—…์šด์˜์˜ ๊ฒฐ๊ณผ๋กœ๋งŒ ๋น„๋กฏ๋œ ๊ฒƒ์ด ์•„๋‹ˆ๋ผ ๋ฐฉ๊ณผํ›„ํ™œ๋™, ๊ต์‚ฌ์š”์ธ, ๋™์•„๋ฆฌํ™œ๋™ ๋“ฑ ํ•™๊ต์˜ ์ „๋ฐ˜์ ์ธ ์ƒํ™ฉ๊ณผ ์—ฐ๊ฒฐ๋˜์–ด ์žˆ์—ˆ๋‹ค. ๊ต์œก๋ณต์ง€์šฐ์„ ์ง€์›์‚ฌ์—…์€ ๊ถ๊ทน์ ์œผ๋กœ ๋‹จ์œ„ํ•™๊ต์˜ ์ •๊ทœ๊ต์œกํ™œ๋™๊ณผ ์—ฐ๊ณ„๋˜๋Š” ๊ฒƒ์„ ์ง€ํ–ฅํ•˜๋Š” ์‚ฌ์—…์ด๋ฏ€๋กœ(๊น€๊ฒฝ์•  ์™ธ, 2011), ์‚ฌ์—…์˜ ์ง€์› ๋ฐ ํ‰๊ฐ€์— ์žˆ์–ด์„œ๋„ ์ข…ํ•ฉ์ ์ธ ํ•™๊ต์˜ ์ƒํ™ฉ๊ณผ ๋งฅ๋ฝ์„ ๊ณ ๋ คํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ์‚ฌ์—…์˜ ํšจ๊ณผ๊ฐ€ ์ผ ๋…„ ๋‹จ์œ„๋กœ ํฌ๊ฒŒ ๋‚˜ํƒ€๋‚˜์ง€ ์•Š์€ ๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋ฅผ ๊ณ ๋ คํ•  ๋•Œ, ์‚ฌ์—…์˜ ํ‰๊ฐ€๊ฐ€ ์ „๋…„๋„ ํ‰๊ฐ€์™€ ์—ฐ๊ณ„๋˜์–ด ์ด๋ฃจ์–ด์งˆ ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ์…‹์งธ, ์‚ฌ์—…์˜ ํšจ๊ณผ์ ์ธ ์ถ”์ง„์„ ์œ„ํ•ด ๋‹จ์œ„ํ•™๊ต์˜ ์ ๊ทน์ ์ธ ๋…ธ๋ ฅ์ด ์š”๊ตฌ๋œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ์— ๋”ฐ๋ฅด๋ฉด ๊ฒฐ๊ตญ ์‚ฌ์—…์˜ ํšจ๊ณผ๋Š” ๋‹จ์œ„ํ•™๊ต ์ˆ˜์ค€์—์„œ ๊ฒฐ์ •๋˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ํ•™๊ตํšจ๊ณผ๊ฐ€ ํฐ ํ•™๊ต์˜ ๊ฒฝ์šฐ ๊ฒจ์šธ๋ฐฉํ•™ ์ค‘ ํ”„๋กœ๊ทธ๋žจ ์šด์˜, ๋ณต์ง€์˜์—ญ์˜ ์ ๊ทน์ ์ธ ์ง€์›, ์†Œ๊ทœ๋ชจ ๋งž์ถคํ˜• ํ•™์Šตํ”„๋กœ๊ทธ๋žจ ๋“ฑ์˜ ์ ๊ทน์ ์ธ ๋…ธ๋ ฅ์ด ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์šด์˜๊ณ„ํš์„œ ์ž‘์„ฑ ๋‹จ๊ณ„์—์„œ ์šด์˜ํ•  ํ”„๋กœ๊ทธ๋žจ์˜ ์ข…๋ฅ˜์™€ ์ผ๋…„ ์‚ฌ์—…์˜ ์šด์˜์ด ๋Œ€๋ถ€๋ถ„ ๊ฒฐ์ •๋˜๋Š”๋ฐ, ํŠนํžˆ 2~3์›” ์‚ฌ์—…์˜ ์ „์ฒด์ ์ธ ํ‹€์ด ํ˜•์„ฑ๋˜๋Š” ๋‹จ๊ณ„์—์„œ ์‚ฌ์—…์˜ ๊ฐœ์„ ์„ ์œ„ํ•œ ๋‹จ์œ„ํ•™๊ต์˜ ๋…ธ๋ ฅ์ด ์š”๊ตฌ๋œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ์˜์˜๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์‚ฌ์—…์˜ ํšจ๊ณผ ๋ถ„์„์— ์žˆ์–ด์„œ ์„ ํƒํŽธ์˜๋ฅผ ์ตœ์†Œํ™”ํ•˜๊ธฐ ์œ„ํ•ด ๊ต์œก๋ณต์ง€์šฐ์„ ์ง€์›์‚ฌ์—…ํ•™๊ต์™€ ์œ ์‚ฌํ•œ ๋น„์‚ฌ์—…ํ•™๊ต๋ฅผ ์„ ํƒํ•œ ๋’ค ์ •์ฑ… ํšจ๊ณผ๋ฅผ ๋ถ„์„ํ•˜์—ฌ, ์‚ฌ์—…์˜ ์ถ”์ง„์— ํ•„์š”ํ•œ ์ •์ฑ…์  ์‹œ์‚ฌ์ ์„ ์ œ๊ณตํ•˜์˜€๋‹ค. ๋˜ํ•œ ์‚ฌ์—…์˜ ์ตœ์ข…์ฃผ์ฒด์ธ ๋‹จ์œ„ํ•™๊ต๋ณ„๋กœ ๊ต์œก๋ณต์ง€์šฐ์„ ์ง€์›์‚ฌ์—…์˜ ํšจ๊ณผ๋ฅผ ๋ถ„์„ํ•œ ๋’ค, ๋‹จ์œ„ํ•™๊ต๋ณ„ ์ฐจ๋ณ„์  ํšจ๊ณผ์˜ ์›์ธ์„ ๋ชจ์ƒ‰ํ•˜์—ฌ ์‚ฌ์—…์˜ ๊ฐœ์„ ์„ ์œ„ํ•œ ์‹œ์‚ฌ์ ์„ ์ œ์‹œํ•˜์˜€๋‹ค. ๋์œผ๋กœ ๋ณธ ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„์ ์„ ํ† ๋Œ€๋กœ ํ›„์† ์—ฐ๊ตฌ๋ฅผ ์ œ์•ˆํ•˜๋ฉด ์ฒซ์งธ, ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์„œ์šธ์‹œ๋งŒ์„ ๋Œ€์ƒ์œผ๋กœ ํ•˜์˜€์œผ๋‚˜ ๊ต์œก๋ณต์ง€์šฐ์„ ์ง€์›์‚ฌ์—…์ด ์‹œยท๋„๊ต์œก์ฒญ ์‚ฌ์—…์œผ๋กœ ์ „ํ™˜๋˜์—ˆ๊ณ  ์‚ฌ์—…์ด ์ง€์—ญ๋ณ„ ํŠน์„ฑ์„ ๋ฐ˜์˜ํ•˜๋ฏ€๋กœ ๋‹ค๋ฅธ ์ง€์—ญ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๋„ ์ด๋ฃจ์–ด์งˆ ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ๋‘˜์งธ, ํ›„์†์—ฐ๊ตฌ์—์„œ๋Š” ํ•™๊ตํšจ๊ณผ์˜ ์ฐจ์ด ๋ถ„์„ ๋ฐ ์ฐจ์ด์— ๋”ฐ๋ฅธ ์›์ธ์„ ์‚ดํŽด๋ณด๊ธฐ ์œ„ํ•ด ๋ณด๋‹ค ์‹ฌ์ธต์ ์ธ ์งˆ์  ์—ฐ๊ตฌ๊ฐ€ ์ด๋ฃจ์–ด์งˆ ํ•„์š”๊ฐ€ ์žˆ๋‹ค.๋ชฉ ์ฐจ โ… . ์„œ๋ก  1 1. ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ ๋ฐ ๋ชฉ์  1 2. ์—ฐ๊ตฌ ๋ฌธ์ œ 3 3. ์—ฐ๊ตฌ์˜ ์˜์˜ 4 4. ์—ฐ๊ตฌ์˜ ์ œํ•œ์  5 โ…ก. ์ด๋ก ์  ๋ฐฐ๊ฒฝ 6 1. ๊ต์œก๋ณต์ง€์˜ ๊ฐœ๋… ๋ฐ ํ•„์š”์„ฑ 6 2. ๊ต์œก๋ณต์ง€์šฐ์„ ์ง€์›์‚ฌ์—… ๊ฐœ๊ด€ 15 3. ๊ต์œก์ทจ์•ฝ์ง‘๋‹จ์ด ๋ฐ€์ง‘ํ•œ ํ•™๊ต์— ๋Œ€ํ•œ ํ•™๊ตํšจ๊ณผ ์—ฐ๊ตฌ 24 โ…ข. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• 35 1. ๋ถ„์„ ์ž๋ฃŒ 35 2. ๋ณ€์ˆ˜ ์„ ์ • 37 3. ์—ฐ๊ตฌ๋ชจํ˜• ๋ฐ ๋ถ„์„๋ฐฉ๋ฒ• 42 โ…ฃ. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ 48 1. ๋ถ„์„์ž๋ฃŒ์˜ ๊ธฐ์ดˆ ํ†ต๊ณ„๊ฐ’ 48 2. ๊ต์œก๋ณต์ง€์šฐ์„ ์ง€์›์‚ฌ์—… ํšจ๊ณผ ๋ถ„์„ 55 3. ๊ต์œก๋ณต์ง€์šฐ์„ ์ง€์›์‚ฌ์—… ๋‹จ์œ„ํ•™๊ต๋ณ„ ์ฐจ๋ณ„์  ํšจ๊ณผ ๋ถ„์„ 68 4. ํ•™๊ตํšจ๊ณผ์— ๋”ฐ๋ฅธ ํ•™๊ต๋ณ„ ์ฐจ์ด ๋ถ„์„ 73 โ…ค. ๋…ผ์˜ 84 โ…ฅ. ๊ฒฐ๋ก  91 ์ฐธ ๊ณ  ๋ฌธ ํ—Œ 95 ๋ถ€ ๋ก 105 Abstract 109Maste

    ๊ต์›๋ณด์ˆ˜์˜ ๊ฒฝ์ œ๋ถ„์„๊ณผ ์ •์ฑ…๊ฐœํ˜

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    ์šฐ๋ฆฌ๋‚˜๋ผ์˜ ํ˜„ํ–‰ ๊ต์œก๊ณต๋ฌด์›๋ณด์ˆ˜์ฒด๊ณ„๋Š” ๊ต์›๋“ค์—๊ฒŒ ๋ณด๋‹ค ๋‚˜์€ ์ž์งˆ์„ ๊ฐ–์ถ”๊ณ  ๋” ๋…ธ๋ ฅํ•˜๋„๋ก ์ถฉ๋ถ„ํ•œ ์œ ์ธ(incentive)์„ ์ œ๊ณตํ•˜์ง€ ๋ชปํ•˜๊ณ  ์žˆ๋‹ค. ๋ณด๋‹ค ๋Šฅ๋ ฅ์žˆ๊ณ  ์—ด์‹ฌํžˆ ๊ฐ€๋ฅด์น˜๋Š” ๊ต์›์ด ๋” ๋Œ€์ ‘๋ฐ›๋Š” ๊ต์ง์‚ฌํšŒ ๋ถ„์œ„๊ธฐ๋ฅผ ์กฐ์„ฑํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ์ž„๊ธˆ์ฒด๊ณ„์˜ ๊ฐœํŽธ์ด ํ•„์ˆ˜์ ์ด๋‹ค. ๊ฐ€๋ น ํ˜„์žฌ์˜ ๊ต์œก๊ณต๋ฌด์› ์ธ๊ฑด๋น„ ์ด์•ก์„ ๊ทธ๋Œ€๋กœ ๋‘๊ณ  ์ž„๊ธˆ์ฒด๊ณ„๋งŒ์„ ๊ฐœํŽธํ•˜๋”๋ผ๋„ ๊ต์ง์‚ฌํšŒ์— ํ™œ๋ ฅ์„ ํฌ๊ฒŒ ๋ถˆ์–ด๋„ฃ์„ ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋œ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ํ˜„์žฌ ๊ต์ง์‚ฌํšŒ๊ฐ€ ์ •๋…„๋‹จ์ถ• ๋“ฑ์œผ๋กœ ์ƒ๋‹นํžˆ ๋™์š”ํ•˜๊ณ  ์žˆ๋Š” ๊ฒƒ์ด ์‚ฌ์‹ค์ด๋ฏ€๋กœ, ์ถฉ๋ถ„ํ•œ ์—ฐ๊ตฌ์™€ ์˜๊ฒฌ์ˆ˜๋ ด ๊ณผ์ •์„ ๊ฑฐ์น˜์ง€ ์•Š์€ ์„ฑ๊ธ‰ํ•œ ์ž„๊ธˆ์ฒด๊ณ„์˜ ๊ฐœํŽธ์€ ๊ต์ง์‚ฌํšŒ๋ฅผ ์˜คํžˆ๋ ค ๋” ํ˜ผ๋ž€์Šค๋Ÿฝ๊ฒŒ ํ•  ์šฐ๋ ค๋„ ์žˆ๋‹ค. ๊ทธ๋งŒํผ ๊ต์‚ฌ๋Š” ๋ฌผ๋ก  ํ•™๋ถ€๋ชจ ํ˜น์€ ์ „๋ฌธ๊ฐ€๋“ค๋„ ์ถฉ๋ถ„ํžˆ ๊ณต๊ฐํ•  ์ˆ˜ ์žˆ๋Š” ๊ฐœํŽธ๋ฐฉ์•ˆ์„ ์ถฉ๋ถ„ํ•œ ํ•ฉ์˜๋„์ถœ ๊ณผ์ •์„ ๊ฑฐ์ณ์„œ ๋งˆ๋ จํ•˜๋Š” ๊ฒƒ์ด ์ค‘์š”ํ•˜๋‹ค. ๋”ฐ๋ผ์„œ ์šฐ๋ฆฌ๋‚˜๋ผ ๊ต์›๋ณด์ˆ˜์ฒด๊ณ„์— ๋Œ€ํ•œ ์—„๋ฐ€ํ•œ ํ˜„ํ™ฉ ๋ฐ ๋ฌธ์ œ์  ๋ถ„์„๊ณผ ๊ตญ๋‚ด ๋ฏผ๊ฐ„ ํƒ€ ์ง์ข…๊ณผ์˜ ๋น„๊ต๋ถ„์„ ๋ฐ ๊ตญ์ œ๋น„๊ต๋ถ„์„ ๋“ฑ์„ ํ†ตํ•˜์—ฌ ํ•ฉ์˜๋„์ถœ์˜ ๊ธฐ๋ฐ˜์„ ์กฐ์„ฑํ•˜๊ณ , ์ด์™€ ๋”๋ถˆ์–ด ๊ต์›๋ณด์ˆ˜์ฒด๊ณ„ ๊ฐœํŽธ์˜ ์ฃผ์š” ๋ฐฉํ–ฅ๊ณผ ๊ตฌ์ฒด์ ์ธ ๋Œ€์•ˆ์— ๋Œ€ํ•˜์—ฌ๋„ ์—„๋ฐ€ํ•œ ์—ฐ๊ตฌ๋ถ„์„์— ๊ธฐ์ดˆํ•˜์—ฌ ๊ณต๋ก ํ™”ํ•˜๋Š” ๊ฒƒ์ด ๋ฌด์—‡๋ณด๋‹ค ์ค‘์š”ํ•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ์ฒซ๋ฒˆ์งธ ๋ชฉ์ ์€ ๊ต์›์˜ ๋ณด์ˆ˜์ฒด๊ณ„์— ์žˆ์–ด์„œ ์ฃผ์š”ํ•œ ์‚ฌํ•ญ์— ๋Œ€ํ•œ ์‹ค์ฆ๋ถ„์„์— ๊ธฐ์ดˆํ•œ ํ˜„์‹ค๊ทœ๋ช…(fact finding)์ด๋‹ค. ํ˜„ํ–‰ ๊ต์›์˜ ์—ฐ๊ณตํ˜• ์ž„๊ธˆ์ฒด๊ณ„์—์„œ ํ˜ธ๋ด‰์— ๋”ฐ๋ฅธ ์ž„๊ธˆ์ฆ๊ฐ€์˜ ๊ธฐ์šธ๊ธฐ๊ฐ€ ์ง€๋‚˜์น˜๊ฒŒ ๊ฐ€ํŒŒ๋ฅด์ง€ ์•Š์€๊ฐ€? ๊ต์› ์ž„๊ธˆ์ฒด๊ณ„์— ์žˆ์–ด์„œ ์ง๋ฌด ๋ฐ ์ž๊ฒฉ์— ๋”ฐ๋ผ ๊ฒฐ์ •๋˜๋Š” ์ž„๊ธˆ๋ถ€๋ฌธ์ด ์ง€๋‚˜์น˜๊ฒŒ ์•ฝํ•œ ๊ฒƒ์ด ์•„๋‹Œ๊ฐ€? ๊ต์›์ž„๊ธˆ์ฒด๊ณ„์— ์žˆ์–ด์„œ ์ˆ˜๋‹น์ด ์ง€๋‚˜์น˜๊ฒŒ ๋งŽ๊ณ  ๋ณต์žกํ•œ ๊ฒƒ์ด ์•„๋‹Œ๊ฐ€? ์ด๋Ÿฌํ•œ ๋งค์šฐ ์ค‘์š”ํ•œ ๋ฌธ์ œ์— ๋Œ€ํ•˜์—ฌ ์—„๋ฐ€ํ•œ ์‹ค์ฆ๋ถ„์„๊ณผ ๊ตญ์ œ๋น„๊ต๋ถ„์„ ๋“ฑ์„ ํ†ตํ•˜์—ฌ ์‹ค์ฆ์ ์œผ๋กœ ๋ฌธ์ œ๋ฅผ ๊ทœ๋ช…ํ•˜๊ณ ์ž ํ•œ๋‹ค. ๋‹ค์Œ์œผ๋กœ, ๋ณธ ์—ฐ๊ตฌ์˜ ๋‘๋ฒˆ์งธ ๋ชฉ์ ์€ ๊ต์›์˜ ์ž„๊ธˆ์ฒด๊ณ„ ๊ฐœํŽธ์— ๋Œ€ํ•œ ์ •์ฑ…๋ฐฉํ–ฅ๊ณผ ๊ฐ€๋Šฅํ•œ ๊ฒฝ์šฐ ์ •์ฑ…์•ˆ์„ ์ œ์‹œํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ์ด๋ฅผ ์œ„ํ•˜์—ฌ ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๋งŽ์€ ๋ฌธ์ œ๋“ค์ด ๊ฒ€ํ† ๋  ๊ฒƒ์ด๋‹ค. ๊ต์›์˜ ํ˜ธ๋ด‰๊ธ‰์€ ์–ด๋–ป๊ฒŒ ๊ฐœํŽธํ•˜๋Š” ๊ฒƒ์ด ๋ฐ”๋žŒ์งํ•œ๊ฐ€? ๊ต์›์ˆ˜๋‹น์„ ๋‹จ์ˆœํ™”ํ•˜์˜€์„ ๋•Œ ์–ด๋–ค ๋ฌธ์ œ๊ฐ€ ์˜ˆ์ƒ๋˜๋Š”๊ฐ€? ๊ต์›์˜ ์ˆ˜๋‹น ์ค‘์—์„œ ์–ด๋–ค ๊ฒƒ๋“ค์€ ๋ณธ๋ด‰์— ํฌํ•จ์‹œํ‚ค๊ณ  ์–ด๋–ค ๊ฒƒ๋“ค์€ ์ทจ์ง€๋ฅผ ์‚ด๋ ค์„œ ๊ฐœ๊ฐœ์ธ์—๊ฒŒ ๋ณด๋‹ค ์ฐจ๋ณ„ํ™”ํ•˜์—ฌ ์ง€๊ธ‰ํ•˜์—ฌ์•ผ ํ•  ๊ฒƒ์ธ๊ฐ€? ๊ต์›์˜ ์‹ค์  ๋ฐ ์ž๊ฒฉ์„ ์–ด๋–ป๊ฒŒ ํ‰๊ฐ€ํ•  ๊ฒƒ์ธ๊ฐ€? ๊ต์›์˜ ์ž๊ธฐ๊ฐœ๋ฐœ, ํ•™์ƒ์˜ ํ•™์—…์„ฑ์ , ํ•™๋ถ€๋ชจยทํ•™์ƒ์˜ ํ‰๊ฐ€ ๋“ฑ์— ๋”ฐ๋ผ ๊ต์›์˜ ํ‰๊ฐ€๊ธฐ์ค€์„ ์–ด๋–ป๊ฒŒ ์„ค์ •ํ•  ๊ฒƒ์ธ ๊ฐ€? ๊ต์›๋ณด์ˆ˜์˜ ๊ฒฐ์ •๋ฐฉ์‹์€ ์–ด๋–ป๊ฒŒ ๋ฐ”๋€Œ์–ด์•ผ ํ•  ๊ฒƒ์ธ๊ฐ€? ์ด๋Ÿฌํ•œ ๋งŽ์€ ์ •์ฑ…๋ฌธ์ œ์— ๋Œ€ํ•˜์—ฌ ์ง์ ‘์ ์ด๊ณ  ๊ตฌ์ฒด์ ์ธ ์ˆ˜์ค€๊นŒ์ง€๋Š” ์•„๋‹ˆ๋”๋ผ๋„ ์šฐ๋ฆฌ๋‚˜๋ผ์˜ ๋ณด์ˆ˜์ฒด๊ณ„์— ๋Œ€ํ•œ ๊ฒฝ์ œ๋ถ„์„๊ณผ ์„ ์ง„๊ตญ์˜ ์‚ฌ๋ก€์— ๋Œ€ํ•œ ํ‰๊ฐ€๋ฅผ ํ†ตํ•˜์—ฌ ๊ฐ€๋Šฅํ•œ ํ•œ ํ˜„์‹ค์ ์ด๋ฉด์„œ๋„ ํ•ฉ๋ฆฌ์ ์ธ ํ•จ์˜๋ฅผ ์ฐพ์œผ๋ ค๊ณ  ๋…ธ๋ ฅํ•˜์˜€๋‹ค. ๋ณธ์„œ๋Š” ๊ต์›๋ณด์ˆ˜์— ๋Œ€ํ•˜์—ฌ ํšก๋‹จ๋ฉด ์ž๋ฃŒ๋ถ„์„, ์‹œ๊ณ„์—ด ์ž๋ฃŒ๋ถ„์„, ๊ตญ์ œ๋น„๊ต๋ถ„์„ ๋“ฑ ๊ฐ๊ฐ ๋‹ค๋ฅธ ๋ถ„์„๋ฐฉ๋ฒ•์— ์˜ํ•œ ๋…๋ฆฝ์ ์ธ ์—ฐ๊ตฌ๋‚ด์šฉ์„ ๋‹ด๊ณ  ์žˆ๋Š” ์„ธ ํŽธ์˜ ๋…ผ๋ฌธ๊ณผ, ์ด๋ฅผ ์ข…ํ•ฉํ•˜๊ณ  ์ •์ฑ…์  ํ•จ์˜๋ฅผ ๋…ผ์˜ํ•˜๋Š” ๋งˆ์ง€๋ง‰ ์žฅ์œผ๋กœ ์ด๋ฃจ์–ด์ ธ ์žˆ๋‹ค. ์ œ1์žฅ์—์„œ ์šฐ๋ฆฌ๋Š” ์—ฐ๋ น-๋ณด์ˆ˜ ๊ณก์„ ๊ณผ ๋ณด์ˆ˜ํ•จ์ˆ˜์— ๊ด€ํ•œ ์‹ค์ฆ๋ถ„์„์„ ํ†ตํ•˜์—ฌ ์ดˆยท์ค‘๋“ฑ ๊ต์›์ด ํƒ€ ์ง์ข…๊ณผ๋Š” ๋‹ฌ๋ฆฌ ์—ฐ๋ น ํ˜น์€ ๊ฒฝ๋ ฅ์ด ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ์„œ ๋ณด์ˆ˜๊ฐ€ ์ง€์†์ ์œผ๋กœ ์ฆ๊ฐ€ํ•˜์—ฌ ์ •๋…„ํ‡ด์ง ์‹œ์ ์— ์™€์„œ์•ผ ์ •์ ์— ๋„๋‹ฌํ•˜๋Š” '็›ด็ทšๅž‹ ๅนดๅŠŸ็ตฆ' ์ฒด๊ณ„๋ฅผ ๊ฐ€์ง€๊ณ  ์žˆ์Œ์„ ๋ฐํžŒ๋‹ค. ๋” ๋‚˜์•„๊ฐ€, ๋ณธ๊ณ ๋Š” ์šฐ๋ฆฌ๋‚˜๋ผ์—์„œ ์ด๋Ÿฌํ•œ ์ง์„ ํ˜• ์—ฐ๊ณต๊ธ‰์ด ๊ต์›์˜ ๋ณด์ˆ˜์ฒด๊ณ„๋กœ ์ž๋ฆฌ์žก์€ ์›์ธ์ด '์ธ์ ์ž๋ณธ์ด๋ก (human capital theory)'์œผ๋กœ ์„ค๋ช…๋  ์ˆ˜ ์žˆ๋‹ค๋Š” ์‹ค์ฆ์  ๊ทผ๊ฑฐ๋ฅผ ์ฐพ์„ ์ˆ˜ ์—†์Œ์— ๋”ฐ๋ผ ์ง์„ ํ˜• ์—ฐ๊ณต๊ธ‰์— ๋Œ€ํ•œ ์ •์น˜๊ฒฝ์ œํ•™์  ํ•ด์„์„ ์ œ์‹œํ•˜์˜€๋‹ค. ์šฐ๋ฆฌ๋Š” ์—ญ๋Œ€ ์ •๊ถŒ๋“ค์ด ๋งค์šฐ ๋น ๋ฅธ ๊ต์œกํŒฝ์ฐฝ ๊ณผ์ •์—์„œ ํ•„์š”ํ•œ ๊ต์› ์ถฉ์›์„ ์œ„ํ•œ ์žฌ์ •์  ๋ถ€๋‹ด์˜ ์ผ๋ถ€๋ฅผ ์ฐจ์„ธ๋Œ€ ํ˜น์€ ์ฐจ๊ธฐ ์ •๊ถŒ์— ์ „๊ฐ€ํ•˜๋Š” ๋ฐฉํŽธ์œผ๋กœ ์ง์„ ํ˜• ์—ฐ๊ณต๊ธ‰์„ ํ™œ์šฉํ•˜์˜€๋‹ค๋Š” ์ ์„ ๊ฐ•์กฐํ•œ๋‹ค. ์ œ2์žฅ์—์„œ ์šฐ๋ฆฌ๋Š” 1965๋…„๋ถ€ํ„ฐ 1997๋…„๊นŒ์ง€ ์ง€๋‚œ 33๋…„๊ฐ„ ์ดˆ๋“ฑ๊ต์›์˜ ๋ณธ๋ด‰๊ณผ ์ˆ˜๋‹น์— ๋Œ€ํ•œ ์‹œ๊ณ„์—ด ์ž๋ฃŒ๋ฅผ ๊ตฌ์ถ•ํ•˜๊ณ , ์ด๋ฅผ ์ด์šฉํ•˜์—ฌ ๊ต์›๋ณด์ˆ˜๊ฐ€ ๊ฒฝ๊ธฐ๋ณ€๋™์— ์–ผ๋งˆ๋‚˜ ์œ ์—ฐํ•˜๊ฒŒ ๋ฐ˜์‘ํ•˜์—ฌ ์™”๋Š”๊ฐ€๋Š” ๋ฌผ๋ก  ๋ณธ๋ด‰๊ณผ ์ˆ˜๋‹น์œผ๋กœ ์ด์›ํ™”๋˜์–ด ์žˆ๋Š” ๊ต์›์˜ ๋ณด์ˆ˜์ฒด๊ณ„๊ฐ€ ์–ด๋–ป๊ฒŒ ๋ณ€ํ™”ํ•˜์˜€๋Š”์ง€์— ๋Œ€ํ•˜์—ฌ ๋ถ„์„ํ•œ๋‹ค. ๋ณธ๊ณ ์—์„œ๋Š” ํ•œ๊ตญ์˜ ๊ณต๊ณต๋ถ€๋ฌธ ๋ณด์ˆ˜๊ฐ€ ์†Œ๋“ ์ •์ฑ…๊ณผ ๊ฐ•ํ•˜๊ฒŒ ์—ฐ๊ณ„๋˜์–ด ์žˆ์—ˆ๊ธฐ ๋•Œ๋ฌธ์— ์ดˆ๋“ฑ๊ต์›์˜ ๋ณด์ˆ˜๊ฐ€ ๊ฒฝ๊ธฐ๋ณ€๋™์— ๋Œ€ํ•˜์—ฌ ๋ฏผ๊ฐ„ ๋ถ€๋ฌธ๋ณด๋‹ค ๋”์šฑ ์œ ์—ฐํ•˜๊ฒŒ ๋ณ€ํ™”ํ•˜๋Š” ๋ฐ˜๋ฉด, ์ˆ˜๋‹น์€ ์ด๋กœ ์ธํ•œ ์†Œ๋“์˜ ๋ถˆ์•ˆ์ •์„ฑ์„ ๋ถˆํˆฌ๋ช…ํ•œ ๋ฐฉ๋ฒ•์œผ๋กœ ๋ณด์ „ํ•˜๋Š” ๊ธฐ๋Šฅ์„ ์ˆ˜ํ–‰ํ•จ์— ๋”ฐ๋ผ์„œ ๋ณด์ˆ˜์˜ ์œ ์—ฐ์„ฑ์„ ์˜คํžˆ๋ ค ๋–จ์–ด๋œจ๋ ธ์Œ์„ ์‹ค์ฆ์ ์œผ๋กœ ๋ณด์ธ๋‹ค. ํŠนํžˆ ๋ณธ๊ณ ๋Š” 1973๋…„๋ถ€ํ„ฐ ๊ธ‰์ฆํ•œ ์ˆ˜๋‹น์˜ ๊ฒฝ์šฐ ๊ต์›์—๊ฒŒ ์ ์ ˆํ•œ ์œ ์ธ์„ ์ œ๊ณตํ•˜๊ณ ์ž ํ•˜๋Š” ์›๋ž˜์˜ ์ทจ์ง€๋ณด๋‹ค๋Š” ์†Œ๋“์ •์ฑ…์œผ๋กœ ์ธํ•œ ๋ณธ๋ด‰์˜ ๋ถˆ์•ˆ์ •์„ฑ์— ๋Œ€ํ•œ ์™„์ถฉ์ œ ์—ญํ• ์„ ๋‹ด๋‹นํ•˜์˜€๋‹ค๋Š” ์ ์„ ๊ฐ•์กฐํ•œ๋‹ค. ์ œ3์žฅ์—์„œ๋Š” ์šฐ๋ฆฌ๋‚˜๋ผ์˜ ๋ณด์ˆ˜์ฒด๊ณ„์˜ ํ•ต์‹ฌ๋ฌธ์ œ๋ฅผ ํ™•์ธํ•˜๊ณ  ์ด๋ฅผ ๊ฐœ์„ ํ•˜๋Š” ๋ฐ ์žˆ์–ด์„œ ์‹œ์‚ฌ์ ์„ ์–ป์„ ์ˆ˜ ์žˆ๋Š” ๊ตญ์ œ๋น„๊ต๋ฅผ ํ†ตํ•œ ๋ถ„์„์„ ์‹œ๋„ํ•˜์˜€๋‹ค. ๋จผ์ €, ์ตœ๊ทผ ์šฐ๋ฆฌ๋‚˜๋ผ๊ฐ€ OECD์— ๊ฐ€์ž…ํ•จ์œผ๋กœ์จ ๋น„๊ต๊ฐ€ ๊ฐ€๋Šฅํ•ด์ง„ OECD(1998) ๋ณด๊ณ ์„œ๋ฅผ ๊ฒ€ํ† ํ•จ์œผ๋กœ์จ OECD ๊ตญ๊ฐ€๋“ค ์ค‘์—์„œ ์šฐ๋ฆฌ๋‚˜๋ผ์˜ ๊ต์›๋ณด์ˆ˜๊ฐ€ ์ƒ๋Œ€์ ์œผ๋กœ ์–ด๋– ํ•œ๊ฐ€๋ฅผ ๊ณ ์ฐฐํ•œ๋‹ค. ๋‹ค์Œ์œผ๋กœ, ๊ฐ ๊ตญ๊ฐ€์˜ ๋งค์šฐ ๋ณต์žกํ•œ ๋ณด์ˆ˜์ฒด๊ณ„๋ฅผ ๋™์ผํ•œ ๊ธฐ์ค€์„ ๊ฐ€์ง€๊ณ  ๋น„๊ตํ•˜๋Š” ๊ฒƒ์— ๋Œ€ํ•œ ํ•œ๊ณ„๋ฅผ ์ธ์‹ํ•˜๊ณ , ์šฐ๋ฆฌ์—๊ฒŒ ๊ฐ€์žฅ ์‹œ์‚ฌ์ ์ด ํด ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋˜๋Š” ์ผ๋ณธ, ์˜๊ตญ, ๋ฏธ๊ตญ์˜ ๊ต์›๋ณด์ˆ˜์— ๋Œ€ํ•˜์—ฌ ๋ณด์ˆ˜์ฒด๊ณ„์˜ ํ˜„ํ™ฉ ๋ฐ ๊ฐœํ˜์‚ฌ๋ก€๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ๊ฒ€ํ† ํ•˜์—ฌ ๋ณด์•˜๋‹ค. ์ด๋Ÿฌํ•œ ๊ตญ์ œ๋น„๊ต๋ฅผ ํ†ตํ•˜์—ฌ ์šฐ๋ฆฌ์˜ ๊ต์›๋ณด์ˆ˜์ฒด๊ณ„๋ฅผ ์–ด๋–ป๊ฒŒ ๊ฐœํ˜ํ•  ๊ฒƒ์ธ๊ฐ€์— ๋Œ€ํ•˜์—ฌ ์ •์ฑ… ์‹œ์‚ฌ์ ์„ ์ฐพ๊ณ ์ž ํ•˜์˜€๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ, ์ œ4์žฅ์—์„œ๋Š” ์•ž์—์„œ์˜ ๋…ผ์˜๋“ค์„ ์šฐ๋ฆฌ๋‚˜๋ผ ๊ต์›๋ณด์ˆ˜์˜ ์ˆ˜์ค€, ํ˜ธ๋ด‰๊ธ‰, ์ˆ˜๋‹น, ๋ณด์ˆ˜ ๊ฒฐ์ •๋ฐฉ์‹, ์ •์ฑ…๊ฐœํ˜ ๋“ฑ์˜ ์ˆœ์„œ๋กœ ์ •๋ฆฌํ•˜์˜€๋‹ค. ์šฐ๋ฆฌ๋Š” ์ œ1์žฅ๊ณผ ์ œ2์žฅ์—์„œ์˜ ์‹ค์ฆ๋ถ„์„๊ณผ ์ œ3์žฅ์—์„œ์˜ ๊ตญ์ œ๋น„๊ต๋ถ„์„์„ ์ข…ํ•ฉํ•˜๊ณ  ์ •์ฑ…์  ํ•จ์˜๋ฅผ ์ œ์‹œํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ์—ฌ๊ธฐ์„œ๋Š” ์šฐ๋ฆฌ๋‚˜๋ผ ๋ณด์ˆ˜์ฒด๊ณ„์˜ ํ•ต์‹ฌ๋ฌธ์ œ๋ฅผ ์ •๋ฆฌํ•˜๊ณ  ๋” ๋‚˜์•„๊ฐ€ ์šฐ๋ฆฌ์˜ ๊ต์› ๋ณด์ˆ˜์ฒด๊ณ„๋ฅผ ๋ฐœ์ „์‹œํ‚ค๊ธฐ ์œ„ํ•œ ์ •์ฑ…์ œ์–ธ์„ ๋‹ด๊ณ  ์žˆ๋‹ค.๋ชฉ ์ฐจ ๋ฐœ๊ฐ„์‚ฌ ๋จธ๋ฆฌ๋ง ์ œ1์žฅ ๊ต์›๋ณด์ˆ˜์˜ ํŠน์ง• ใ€€1. ์ง์„ ํ˜• ์—ฐ๊ณต๊ธ‰ ใ€€ใ€€๊ฐ€. ์—ฐ๋ น-๋ณด์ˆ˜ ๊ณก์„  ใ€€ใ€€๋‚˜. ๊ทผ์†-๋ณด์ˆ˜ ๊ณก์„  ใ€€ใ€€๋‹ค. ๋ณด์ˆ˜ํ•จ์ˆ˜ ใ€€2. ์—ฐ๊ณต๊ธ‰๊ณผ ์ƒ์‚ฐ์„ฑ ใ€€3. ์ •์น˜๊ฒฝ์ œํ•™์  ํ•ด์„ ใ€€4. ์ •์ฑ… ํ•จ์˜ ์ œ2์žฅ ๊ต์›๋ณด์ˆ˜์˜ ๋ณ€ํ™” ใ€€1. ์ž๋ฃŒ ใ€€2. ๋ณด์ˆ˜ ์ˆ˜์ค€์˜ ๋ณ€ํ™” ใ€€3. ๋ณด์ˆ˜์ฒด๊ณ„์˜ ๋ณ€ํ™” ใ€€ใ€€๊ฐ€. ๋ณธ๋ด‰(ํ˜ธ๋ด‰๊ธ‰) ใ€€ใ€€๋‚˜. ์ˆ˜๋‹น ใ€€4. ๋ณด์ˆ˜์˜ ํƒ„๋ ฅ์„ฑ ๋ถ„์„ ใ€€5. ์ •์ฑ… ํ•จ์˜ ์ œ3์žฅ ๊ต์›๋ณด์ˆ˜์˜ ๊ตญ์ œ๋น„๊ต ใ€€1. OECD ๊ตญ๊ฐ€ ใ€€2. ์ผ๋ณธ ใ€€3. ์˜๊ตญ ใ€€4. ๋ฏธ๊ตญ ใ€€5. ๋ถ€๋ก ์ œ4์žฅ ๊ต์›๋ณด์ˆ˜์˜ ๋ฌธ์ œ์™€ ์ •์ฑ…๊ฐœ

    An Analysis of Mobility of Experiencing School Violence and the Influential Factors

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    ์ด ์—ฐ๊ตฌ๋Š” ใ€Œํ•™๊ตํญ๋ ฅ ์‹คํƒœ์กฐ์‚ฌ ์ข…๋‹จ์—ฐ๊ตฌใ€์ž๋ฃŒ๋ฅผ ํ† ๋Œ€๋กœ ์ค‘ํ•™์ƒ๋“ค์ด ํ•™๋…„์ด ์˜ฌ๋ผ๊ฐ์— ๋”ฐ๋ผ ํ•™๊ตํญ๋ ฅ ๊ฒฝํ—˜ ์–‘์ƒ์— ๋ณ€ํ™”๊ฐ€ ์žˆ๋Š”์ง€, ํ•™๊ตํญ๋ ฅ ๊ฒฝํ—˜ ์–‘์ƒ์˜ ๋ณ€ํ™”๋ฅผ ์„ค๋ช…ํ•˜๋Š” ์š”์ธ์ด ๋ฌด์—‡์ธ์ง€์— ๋Œ€ํ•ด ๋ถ„์„ํ•˜์˜€๋‹ค. ๋ถ„์„์„ ์œ„ํ•ด ๊ต์ฐจ๊ฒ€์ฆ, ํ‰๊ท ์ฐจ์ด๊ฒ€์ฆ, ๋กœ์ง€์Šคํ‹ฑํšŒ๊ท€๋ชจํ˜•์„ ํ™œ์šฉํ•˜์˜€๋‹ค. ๋ถ„์„ ๊ฒฐ๊ณผ ์ฒซ์งธ, ํ•™๊ตํญ๋ ฅ ๊ฒฝํ—˜๋ฅ ์ด ์—ฐ์ฐจ์ ์œผ๋กœ ๋‚ฎ์•„์กŒ๋‹ค. ๋‘˜์งธ, ํ•™๊ตํญ๋ ฅ ๊ฒฝํ—˜ ์ง‘๋‹จ์œ ํ˜•๋ณ„ ๊ฒฝํ—˜ ์–‘์ƒ์˜ ๋ณ€๋™์‹คํƒœ๋ฅผ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ ํ•™๊ตํญ๋ ฅ์˜ ๊ฒฝํ—˜ ์–‘์ƒ์ด ๊ฒฝํ—˜ ์ง‘๋‹จ ์œ ํ˜• ๋‚ด์—์„œ ์ƒ๋‹นํžˆ ๋™์งˆ์ ์ธ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ฆ‰, ํ•™๊ตํญ๋ ฅ ์ค‘๋ณต๊ฒฝํ—˜ ํ•™์ƒ์ด ๋‹ค์‹œ ์ค‘๋ณต๊ฒฝํ—˜์„ ํ•˜๊ณ , ํ”ผํ•ด๊ฒฝํ—˜ํ•™์ƒ์ด ๋‹ค์‹œ ํ”ผํ•ด๊ฒฝํ—˜์„ ํ•˜๋ฉฐ, ๊ฐ€ํ•ด๊ฒฝํ—˜ํ•™์ƒ์ด ๋‹ค์Œํ•ด์—๋„ ๊ฐ€ํ•ด๊ฒฝํ—˜์„ ํ•˜๊ณ , ๋ฏธ๊ฒฝํ—˜ํ•™์ƒ์ด ์ง€์†์ ์œผ๋กœ ๋ฏธ๊ฒฝํ—˜์„ ํ•˜๋Š” ๊ฒฝ์šฐ๊ฐ€ ๋‹ค๋ฅธ ์–‘์ƒ์œผ๋กœ ๋ณ€ํ™”๋ฅผ ํ•  ๊ฒฝ์šฐ์— ๋น„ํ•ด ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋์œผ๋กœ ํ•™๊ตํญ๋ ฅ์„ ๊ฒฝํ—˜ํ•˜์˜€์œผ๋‚˜ ๋ฏธ๊ฒฝํ—˜์œผ๋กœ ๋ณ€ํ™”ํ•˜์˜€๊ณ  ํ•™๊ตํญ๋ ฅ์„ ๊ฒฝํ—˜ํ•˜์ง€ ์•Š์€ ์ƒํ™ฉ์„ ์ง€์†์ ์œผ๋กœ ์œ ์ง€ํ•˜๋Š” ํ•™์ƒ๋“ค์€ ํ•™๊ตํญ๋ ฅ์„ ์ง€์†์ ์œผ๋กœ ๊ฒฝํ—˜ํ•˜๊ฑฐ๋‚˜ ํ•™๊ตํญ๋ ฅ ๋ฏธ๊ฒฝํ—˜์—์„œ ๊ฒฝํ—˜์œผ๋กœ ๋ณ€ํ™”ํ•œ ํ•™์ƒ๋“ค์— ๋น„ํ•ด ์ž์‹ ์— ๋Œ€ํ•œ ๊ธ์ •์ ์ธ ์ƒ๊ฐ ์ˆ˜์ค€์ด ๋†’๊ณ  ๋ถ„๋…ธ ์„ฑํ–ฅ์ด ๋‚ฎ์œผ๋ฉฐ ์นœ๊ตฌ๋“ค๊ณผ์˜ ๊ด€๊ณ„๊ฐ€ ๊ธ์ •์ ์ด๊ณ  ํญ๋ ฅ์— ๋…ธ์ถœ๋˜๋Š” ์ •๋„๊ฐ€ ๋‚ฎ์œผ๋ฉฐ ํ•™๊ตํญ๋ ฅ์— ๋Œ€ํ•œ ํ•™๊ต์™€ ์„ ์ƒ๋‹˜์˜ ๋…ธ๋ ฅ์„ ๊ธ์ •์ ์œผ๋กœ ์ธ์‹ํ•˜๋Š” ์ •๋„๊ฐ€ ๋†’์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. This study analyzed if therere changes in school violence experiences as students promoted and what can explain the changes using the longitudinal data on middle school students from School Violence Prevention Institute. For the research, cross-examination, mean-difference examination, logistic regression model were adopted. The results are follows: firstly, the rate of experiencing school violence has reduced consecutively. Secondly, patterns of school violence participation were homogeneous. This means the possibility of that students who experienced as duplication experience duplication again, victims as victims, offenders as offenders, non-experiencers as non-experiencers respectively is higher than any other mobility. Lastly, positive self esteem, lower anger tendency, healthy relationship with friends, lower exposure to violence, positive recognition towards teachers and schools attitudes to school violence are meaningful features to induce changes from experience of school violence to non-experience and keep the non-experience condition. Especially the healthy relationship with friends is the meaningfully influential factor to keep the non-experience condition and its necessary to consider various programs to help students from isolated relationship at schools
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