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    ๋„คํŒ” ์ฒญ์†Œ๋…„ ์ž„์‹ ์˜ ์˜ํ–ฅ์š”์ธ: ๋‹ค์ˆ˜์ค€ ๋ถ„์„

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๋ณด๊ฑด๋Œ€ํ•™์› ๋ณด๊ฑดํ•™๊ณผ(๋ณด๊ฑด์ •์ฑ…๊ด€๋ฆฌํ•™์ „๊ณต), 2021. 2. ๊น€์„ ์˜.์ „์„ธ๊ณ„ ๊ฐœ๋ฐœ๋„์ƒ๊ตญ์—์„œ 15-19์„ธ์˜ ์ฒญ์†Œ๋…„ ์ž„์‹ ์€ ๋งค๋…„ ์•ฝ 2100๋งŒ ๊ฑด์ด ๋ฐœ์ƒํ•œ๋‹ค. ์ฒญ์†Œ๋…„(10-19์„ธ)๋“ค์€ 20์„ธ ์ด์ƒ์˜ ์„ฑ์ธ์— ๋น„ํ•ด ์ž„์‹ ๊ณผ ๊ด€๋ จ๋œ ์‚ฌ๋ง ์œ„ํ—˜์— ๋” ๋งŽ์ด ๋…ธ์ถœ๋˜์–ด ์žˆ๊ณ , ํ•™๊ต ์žํ‡ด๋กœ ์ด์–ด์ ธ ๊ฒฝ์ œ์  ๋…๋ฆฝ์„ฑ์ด ์ œํ•œ๋˜๊ธฐ๋„ ํ•˜๋Š” ๋“ฑ ์ „์„ธ๊ณ„ ์–ด๋ฆฐ ์—ฌ์„ฑ๋“ค์˜ ์‚ถ์— ๋ถ€์ •์ ์ธ ์˜ํ–ฅ์„ ๋ผ์นœ๋‹ค. ๋„คํŒ”์€ ๊ตญ๊ฐ€ ์ˆ˜์ค€์—์„œ ์ฒญ์†Œ๋…„ ์ž„์‹ ์œจ์ด ๋†’์„ ๋ฟ๋งŒ์ด ์•„๋‹ˆ๋ผ, ๊ตญ๊ฐ€ ๋‚ด์—์„œ๋„ ์ง€์—ญ๋ณ„ ํŽธ์ฐจ๊ฐ€ ํฐ ๋‚˜๋ผ ์ค‘ ํ•˜๋‚˜์ด๋‹ค. ๊ทธ๋Ÿผ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ , ๋„คํŒ”์„ ๋Œ€์ƒ์œผ๋กœ ํ•œ ์—ฐ๊ตฌ๋Š” ์ฃผ๋กœ ๊ฐœ์ธ์ˆ˜์ค€ ๋ณ€์ˆ˜๋งŒ์„ ํ™•์ธํ•˜์˜€๊ณ , ์ง€์—ญ๋ณ„ ์š”์ธ์„ ๊ณ ๋ คํ•˜์—ฌ ๋‹ค์ˆ˜์ค€ ๋ถ„์„์„ ์ˆ˜ํ–‰ํ•œ ์—ฐ๊ตฌ๋Š” ๋ถ€์กฑํ•œ ์‹ค์ •์ด์—ˆ๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋„คํŒ” ์ฒญ์†Œ๋…„ ์ž„์‹ ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฐœ์ธ ๋ฐ ์ง€์—ญ์ˆ˜์ค€ ์š”์ธ์„ ๋‹ค์ˆ˜์ค€ ๋ถ„์„๋ฐฉ๋ฒ•์„ ํ™œ์šฉํ•˜์—ฌ ํ™•์ธํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ๋ถ„์„ ๋•Œ ์‚ฌ์šฉํ•œ ์ž๋ฃŒ๋Š” ์œ„๊ณ„์  ์†์„ฑ์ด ๋ฐ˜์˜๋œ 2016๋…„ ๋„คํŒ” ์ธ๊ตฌ๋ณด๊ฑด์กฐ์‚ฌ (Demographic and Health Survey, DHS) ์ž๋ฃŒ์ด๋ฉฐ, ์ „์ฒด ํ‘œ๋ณธ์€ 383๊ฐœ์˜ ์ง€์—ญ(cluster)์— ์†ํ•œ 12,862๋ช…์˜ 15-49์„ธ ์—ฌ์„ฑ์ด์—ˆ๋‹ค. ๋˜ํ•œ, ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” 15-19์„ธ ์—ฌ์„ฑ (N = 2,622) ์ง‘๋‹จ๊ณผ 20-29์„ธ ์—ฌ์„ฑ (N = 4,400) ์ง‘๋‹จ์˜ ๋‘ ํ•˜์œ„๊ทธ๋ฃน์„ ์ถ”๊ฐ€์ ์œผ๋กœ ๋ถ„์„ํ•˜์˜€๋‹ค. ๋ถ„์„ ๋ฐฉ๋ฒ•์œผ๋กœ๋Š” ๊ฐœ์ธ ๋ฐ ์ง€์—ญ์ˆ˜์ค€ ๋ณ€์ˆ˜๋ฅผ ํฌํ•จํ•˜๊ณ  ์ง€์—ญ๋ณ„๋กœ ๊ตฌ๋ถ„ํ•  ์ˆ˜ ์žˆ๋Š” ํ˜ผํ•ฉํšจ๊ณผ 2-์ˆ˜์ค€ ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ถ„์„ (mixed-effects two-level logistic regression)์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ์ข…์†๋ณ€์ˆ˜๋Š” ์ฒญ์†Œ๋…„ ์ž„์‹ , ์ฆ‰ ํ•œ ๊ฐœ์ธ์ด 10-19์„ธ์ผ ๋•Œ ์ฒซ ์ถœ์‚ฐ ์—ฌ๋ถ€ ํ˜น์€ 15-19์„ธ ํ˜„์žฌ ์ž„์‹  ์—ฌ๋ถ€๋กœ ์ •์˜๋˜์—ˆ๋‹ค. ์„ค๋ช…๋ณ€์ˆ˜๋Š” ๊ฐœ์ธ ๋ฐ ์ง€์—ญ์ˆ˜์ค€์œผ๋กœ ๊ตฌ๋ถ„๋˜์—ˆ์œผ๋ฉฐ, ์„ธ๊ณ„๋ณด๊ฑด๊ธฐ๊ตฌ์˜ ๊ฑด๊ฐ•์˜ ์‚ฌํšŒ์  ๊ฒฐ์ •์š”์ธ (Social Determinants of Health) ๋ชจํ˜•์„ ์ ์šฉํ•˜์˜€๋‹ค. ํ†ต๊ณ„ ๋ถ„์„์€ ๊ธฐ์ˆ  ํ†ต๊ณ„, ์นด์ด์ œ๊ณฑ ๊ฒ€์ •, ๊ทธ๋ฆฌ๊ณ  ๋‹ค์ˆ˜์ค€ ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ถ„์„์œผ๋กœ ์ด๋ฃจ์–ด์กŒ๋‹ค. ๋‹ค์ˆ˜์ค€ ๋ถ„์„์‹œ์—๋Š” ์ˆ˜์ค€-1๊ณผ ์ˆ˜์ค€-2์˜ ๊ฐ€์ค‘์น˜๊ฐ€ ์ ์šฉ๋œ ์ž„์˜ ์ ˆํŽธ ๋ชจํ˜•(random intercept model)์„ ์ด 4๊ฐœ์˜ ๋ชจํ˜• -์ข…์†๋ณ€์ˆ˜๋งŒ ํฌํ•จํ•œ ๋ชจํ˜• 1 (์˜๋ชจํ˜•), ๊ฐœ์ธ์ˆ˜์ค€ ๋ณ€์ˆ˜๋งŒ์„ ํฌํ•จํ•œ ๋ชจํ˜• 2, ์ง€์—ญ์ˆ˜์ค€ ๋ณ€์ˆ˜๋งŒ์„ ํฌํ•จํ•œ ๋ชจํ˜• 3, ๊ทธ๋ฆฌ๊ณ  ๊ฐœ์ธ ๋ฐ ์ง€์—ญ์ˆ˜์ค€ ๋ณ€์ˆ˜๋“ค์„ ๋ชจ๋‘ ํฌํ•จํ•œ ๋ชจํ˜• 4-์œผ๋กœ ์ ํ•ฉํ•˜์˜€๋‹ค ๋ถ„์„ ๊ฒฐ๊ณผ, ๋„คํŒ”์˜ ์ฒญ์†Œ๋…„ ์ž„์‹  ๋น„์œจ์€ ์ „์ฒด ํ‘œ๋ณธ์—์„œ 38 %, 15-19์„ธ ์ง‘๋‹จ์—์„œ 13 %, ๊ทธ๋ฆฌ๊ณ  20-29์„ธ ์ง‘๋‹จ์—์„œ 40 %๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ณ ์ •ํšจ๊ณผ์— ๋Œ€ํ•ด์„œ๋Š” ์„ธ ํ‘œ๋ณธ ๋ชจ๋‘์—์„œ ์ฒญ์†Œ๋…„ ์ž„์‹ ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์œ ์˜ํ•œ ์š”์ธ์œผ๋กœ ์ฒซ ๊ฒฐํ˜ผ ๋‚˜์ด๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ํŠนํžˆ, ์ฒซ ๊ฒฐํ˜ผ ๋‚˜์ด๋Š” ๋‹ค๋ฅธ ์š”์ธ๊ณผ ๋น„๊ตํ–ˆ์„ ๋•Œ ์กฐ์ •๋œ ์˜ค์ฆˆ๋น„(AOR)๊ฐ€ ๊ฐ€์žฅ ๋†’์€ ์š”์ธ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋˜ํ•œ, ์ „์ฒด ํ‘œ๋ณธ๊ณผ 20-29์„ธ ํ‘œ๋ณธ์—์„œ๋Š” ์ถ”๊ฐ€๋กœ ์ธ์ข…, ๊ฐœ์ธ ๊ต์œก์ˆ˜์ค€, ํŒŒํŠธ๋„ˆ์™€์˜ ๋‚˜์ด ์ฐจ์ด ๋“ฑ์ด ์œ ์˜ํ•œ ์˜ํ–ฅ ์š”์ธ์ด์—ˆ๋‹ค. ์ž„์˜ํšจ๊ณผ์— ๋Œ€ํ•ด์„œ๋Š” ๋‹ค์ˆ˜์ค€ ๋ถ„์„ ๊ฒฐ๊ณผ, ์ „์ฒด ํ‘œ๋ณธ์˜ ๊ธ‰๋‚ด ์ƒ๊ด€๊ณ„์ˆ˜(ICC)๋Š” ๋ถˆ๊ณผ 4.93 %๋กœ ์‚ฐ์ถœ๋˜์–ด, ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ฒญ์†Œ๋…„ ์ž„์‹ ์— ๋Œ€ํ•œ ์ง€์—ญ์˜ ์˜ํ–ฅ์€ ์ž‘์€ ๊ฒƒ์œผ๋กœ ํ™•์ธ๋˜์—ˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  15-19์„ธ์™€ 20-29์„ธ ์ง‘๋‹จ์—์„œ ICC๊ฐ’์€ ๊ฐ๊ฐ 16.85 %, 9.89 %๋กœ ๋‚˜ํƒ€๋‚˜, ์ „์ฒด ํ‘œ๋ณธ๊ณผ ๋‘ ํ•˜์œ„์ง‘๋‹จ ๊ฐ„ ์ง€์—ญ์˜ ์˜ํ–ฅ์—๋Š” ์ฐจ์ด๋ฅผ ๋ณด์˜€๋‹ค. ์ฒญ์†Œ๋…„ ์ž„์‹ ์˜ ์˜ํ–ฅ์š”์ธ๊ณผ ๊ด€๋ จํ•˜์—ฌ, ๋ณธ ์—ฐ๊ตฌ์˜ ์ฃผ์š” ๊ฒฐ๊ณผ ์ค‘ ํ•˜๋‚˜๋Š” ๋„คํŒ”์—์„œ ์กฐํ˜ผ์ด ์ฒญ์†Œ๋…„ ์ž„์‹ ์— ๋ผ์น˜๋Š” ์˜ํ–ฅ์ด ๊ฐ•ํ•˜๋‹ค๋Š” ๊ฒƒ์ด์—ˆ๋‹ค. ๋˜ํ•œ, ๋ณธ ์—ฐ๊ตฌ๋Š” ๋„คํŒ”์—์„œ ์นด์ŠคํŠธ/์ธ์ข…๊ณผ ๊ฐœ์ธ ๊ต์œก์ˆ˜์ค€์˜ ์š”์ธ์ด ์กฐํ˜ผ์„ ํ†ตํ•ด ์ฒญ์†Œ๋…„ ์ž„์‹ ์— ์˜ํ–ฅ์„ ๋ผ์น  ์ˆ˜ ์žˆ์Œ์„ ๋ณด์—ฌ์ฃผ์—ˆ๋‹ค. ๋„คํŒ”์€ ์ฒญ์†Œ๋…„ ์ž„์‹ ๋ฟ๋งŒ์ด ์•„๋‹ˆ๋ผ ์กฐํ˜ผ์ด ์„ฑํ–‰ํ•˜๋Š” ๊ตญ๊ฐ€ ์ค‘ ํ•˜๋‚˜์ด๊ณ , ๋„คํŒ” ์ •๋ถ€๋Š” ์ง€์†๊ฐ€๋Šฅ ๋ฐœ์ „๋ชฉํ‘œ (Sustainable Development Goals)๋ฅผ ๋‹ฌ์„ฑํ•˜๊ธฐ ์œ„ํ•ด 2030๋…„๊นŒ์ง€ ์กฐํ˜ผ์„ ์—†์• ๊ธฐ๋กœ ์•ฝ์†ํ•œ ๋ฐ” ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ, ์กฐํ˜ผ๊ณผ ์ฒญ์†Œ๋…„ ์ž„์‹ ์„ ์ค„์ด๊ธฐ ์œ„ํ•ด์„œ๋Š” ๋„คํŒ” ์—ฌ์„ฑ๋“ค์˜ ํ•™๊ต ๊ต์œก์ด ๋Š๊ธฐ์ง€ ์•Š๋„๋ก ํ•ด์•ผ ํ•  ๊ฒƒ์ด๋‹ค. ๋˜ํ•œ, ๋ณธ ์—ฐ๊ตฌ์˜ ๋‹ค์ˆ˜์ค€ ๋ถ„์„ ๊ฒฐ๊ณผ์— ๋น„์ถ”์—ˆ์„ ๋•Œ, ๋„คํŒ”์—์„œ๋Š” ์ฒญ์†Œ๋…„ ์ž„์‹ ์— ๋Œ€ํ•œ ์ง€์—ญ๋ณ„ ์˜ํ–ฅ์ด ํฌ์ง€๋Š” ์•Š์€ ๊ฒƒ์œผ๋กœ ๋ณด์ด๊ณ , ์ด๋Š” ์ „์ฒด ํ‘œ๋ณธ์—์„œ ๋”์šฑ ๊ทธ๋Ÿฌํ–ˆ๋‹ค. ๋”ฐ๋ผ์„œ, ์ถ”ํ›„ ์—ฐ๊ตฌ๋กœ๋Š” 3-์ˆ˜์ค€ ๋ชจ๋ธ์ด๋‚˜ ์ž„์˜ ๊ธฐ์šธ๊ธฐ ๋ชจํ˜• ๋“ฑ ๋ณด๋‹ค ๋” ์—„๋ฐ€ํ•œ ๋‹ค์ˆ˜์ค€ ๋ถ„์„ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•ด๋ณผ ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค. ํ•œํŽธ, ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ธฐ์กด ์—ฐ๊ตฌ๊ฐ€ ๋ถ€์กฑํ–ˆ๋˜ ๋„คํŒ”์„ ๋Œ€์ƒ์œผ๋กœ ์ฒ˜์Œ์œผ๋กœ ์ฒญ์†Œ๋…„ ์ž„์‹ ์˜ ์˜ํ–ฅ์š”์ธ์„ ๋‹ค์ˆ˜์ค€์œผ๋กœ ๋ถ„์„ํ–ˆ๋‹ค๋Š” ์‹œ์‚ฌ์ ์„ ๊ฐ–๋Š”๋‹ค.In developing countries, approximately 21 million girls aged 15-19 become pregnant. Adolescents are exposed to higher rates of pregnancy-related health problems compared to women aged 20 or more. Early childbearing also deteriorates their future, driving them to drop out of schools. Nepal is one of the countries that have large burden of adolescent pregnancy and has regional differences within the country. However, previous research on Nepal only focused on individual level determinants and there is a research gap on investigating factors associated with adolescent pregnancy using multilevel models. Thus, this study aims to identify the individual- and community-level determinants of adolescent pregnancy in Nepal using a multilevel model. The data used in this study is the 2016 Nepal Demographic and Health Survey (DHS), which is a hierarchically structured data. The study included a sample of 12,862 women aged 15-49 who are nested in 383 clusters (community). Two additional age groups of 15-19 (N = 2,622) and 20-29 (N = 4,400) were analyzed. A mixed-effect two-level logistic regression was fitted to determine the individual- and community-level factors and to differentiate each community. The dependent variable was defined as whether an individual gave her first birth during 10-19 or, for only 15-19 aged individuals, currently pregnant. Independent variables were categorized into individual- and community-level, using the Social Determinants of Health conceptual model developed by WHO. Descriptive analysis, chi-squared analysis, and multilevel logistic regressions were conducted. For the multilevel analysis, sample weights of both level-1 (individual) and level-2 (cluster) were applied. Four random intercept models were fitted: Model 1 as the null model, Model 2 with only individual level variables, Model 3 with only community level variables, and Model 4 with all of the variables. Results show that the prevalence of adolescent pregnancy in Nepal were 38 % in the full sample, 13 % in the 15-19 aged sample, and 40 % in the 20-29 aged sample. Regarding fixed effects, in all three samples, the age at first marriage was found to be significantly associated with the outcome, showing the highest AOR values. In the full sample and 20-29 age group, ethnicity, educational level, and spousal age gap were also significantly associated. As for the random effects, the multilevel model analysis in this study showed that the community effect on adolescent pregnancy was inconsiderable, especially in the full sample, with an ICC value of only 4.93 %. The 15-19 and 20-29 age group had ICC values of 16.85 % and 9.89 %, respectively, thus the community effect was found to be different among the full sample and the two subgroups. One of the key implications of this study regarding each predictor was the strong associations of child marriage on adolescent pregnancy in Nepal. Results of this study further suggests that caste/ethnicity and individual educational level are likely to influence adolescent pregnancy through child marriage. Nepal has high prevalence of not only adolescent pregnancy but also child marriage, and the government has committed to end child marriage by 2030 to achieve the Sustainable Development Goals (SDGs). Thus, it is crucial to allow Nepali girls to continue their education in reducing adolescent pregnancy and child marriage. Furthermore, the multilevel analysis of this study revealed that there is not much community effect on adolescent pregnancy in Nepal, especially in the full sample. Therefore, in future research, using more rigorous multilevel models, such as three-level or random coefficient models, is recommended. Nevertheless, this study was the first to investigate determinants of adolescent pregnancy using a multilevel model in Nepal setting, filling the current research gap.CHAPTER 1. INTRODUCTION ๏ผ‘ 1.1. BACKGROUND ๏ผ‘ 1.1.1 Adolescent Pregnancy in Low- and Middle-income Countries ๏ผ‘ 1.1.2 Outcomes of Adolescent Pregnancy ๏ผ” 1.1.3 Using a Multilevel Analysis ๏ผ– 1.2 PURPOSE OF THE STUDY ๏ผ‘๏ผ‘ CHAPTER 2. LITERATURE REVIEW ๏ผ‘๏ผ’ 2.1 HETEROGENEITY OF CASTE/ETHNICITY IN NEPAL ๏ผ‘๏ผ’ 2.2. ADOLESCENT PREGNANCY IN NEPAL ๏ผ‘๏ผ– 2.3 DETERMINANTS OF ADOLESCENT PREGNANCY ๏ผ’๏ผ CHAPTER 3. METHODS ๏ผ’๏ผ• 3.1 DATA SOURCE AND STUDY SAMPLES ๏ผ’๏ผ• 3.2 CONCEPTUAL MODEL ๏ผ’๏ผ— 3.3 DEFINITIONS OF VARIABLES ๏ผ’๏ผ˜ 3.3.1 Dependent Variable ๏ผ’๏ผ˜ 3.3.2 Independent Variables ๏ผ’๏ผ˜ 3.4 MODEL FOR ANALYSIS ๏ผ“๏ผ– 3.5 ETHICAL CONSIDERATIONS ๏ผ“๏ผ™ CHAPTER 4. RESULTS ๏ผ”๏ผ 4.1 DESCRIPTIVE STATISTICS ๏ผ”๏ผ 4.2 MULTILEVEL LOGISTIC REGRESSION ANALYSIS (TBC) ๏ผ•๏ผ• 4.2.1 Results with a Full Sample ๏ผ•๏ผ• 4.2.2 Results for Subgroups of 15-19 and 20-29 ๏ผ–๏ผ’ CHAPTER 5. DISCUSSION ๏ผ—๏ผ• 5.1 IMPLICATIONS OF THE STUDY ๏ผ—๏ผ• 5.2 LIMITATIONS OF THE STUDY ๏ผ˜๏ผ˜ CHAPTER 6. CONCLUSION ๏ผ™๏ผ‘ BIBLIOGRAPHY ๏ผ™2 APPENDIX ๏ผ‘๏ผ2 ABSTRACT (KOREAN) ๏ผ‘30Maste

    ๋นˆ๊ณค์˜ ์„ธ๋Œ€ ๊ฐ„ ์ด์ „ : ๋ถ€๋ชจ์˜ ๋นˆ๊ณค์ง€์œ„๊ฐ€ ์ž๋…€์˜ ๋นˆ๊ณค์ง€์œ„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› ์‚ฌํšŒ๊ณผํ•™๋Œ€ํ•™ ์‚ฌํšŒ๋ณต์ง€ํ•™๊ณผ, 2017. 8. ๊ตฌ์ธํšŒ.๋ณธ ์—ฐ๊ตฌ๋Š” ์ตœ๊ทผ ์ฃผ๋ชฉ๋ฐ›๊ณ  ์žˆ๋Š” ์„ธ๋Œ€ ๊ฐ„ ์ด๋™์„ฑ์˜ ์•…ํ™”์— ๋”ฐ๋ฅธ ๊ธฐํšŒ์˜ ๋ถˆํ‰๋“ฑ ์‹ฌํ™”์— ๋Œ€ํ•œ ์šฐ๋ ค๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ, ํ•œ๊ตญ์—์„œ ๋นˆ๊ณค์˜ ์„ธ๋Œ€ ๊ฐ„ ์ด์ „์ด ๋‚˜ํƒ€๋‚˜๊ณ  ์žˆ๋Š”์ง€ ๊ฒ€์ฆํ•˜๋Š” ๊ฒƒ์„ ๋ชฉ์ ์œผ๋กœ ํ•œ๋‹ค. ์ด๋ฅผ ์œ„ํ•˜์—ฌ ๋ถ€๋ชจ์˜ ๋นˆ๊ณค์ง€์œ„ ๋ฐ ์ž๋…€์˜ ๋นˆ๊ณค์ง€์œ„๋ฅผ ์‹ค์ œ๋กœ ์ธก์ •๋œ ์†Œ๋“์„ ํ™œ์šฉํ•˜์—ฌ ๊ฐ๊ด€์ ์ธ ๋ฐฉ๋ฒ•์œผ๋กœ ์ธก์ •ํ•˜์˜€๋‹ค. ๋˜ํ•œ ๋นˆ๊ณค์ธต ๋‚ด๋ถ€์—์„œ์˜ ์ด์งˆ์„ฑ์„ ๊ณ ๋ คํ•˜์—ฌ ๋นˆ๊ณค์˜ ์‹ฌ๋„๊ฐ€ ์ž๋…€์˜ ์„ฑ์ธ๊ธฐ ๊ฐ€๊ตฌ์†Œ๋“ ํ˜น์€ ๋นˆ๊ณค๊ฒฝํ—˜ ๊ฐ€๋Šฅ์„ฑ์— ์ง์ ‘์ ์œผ๋กœ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”์ง€ ๋ถ„์„ํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์•„๋™๊ธฐ ๋ถ€๋ชจ ๋ฐ ์„ฑ์ธ๊ธฐ ์ž๋…€์˜ ๊ฐ€๊ตฌ ๋ฐ ๊ฐœ์ธ์  ํŠน์„ฑ์„ ๋ชจ๋‘ ํฌํ•จํ•œ ๋ณด๋‹ค ์žฅ๊ธฐ์ ์œผ๋กœ ์ธก์ •๋œ ์ž๋ฃŒ๊ฐ€ ํ•„์š”ํ•˜๋‹ค. ๋”ฐ๋ผ์„œ ์ด๋ฅผ ํฌํ•จํ•˜๊ณ  ์žˆ๋Š” ํ•œ๊ตญ๋…ธ๋™ํŒจ๋„์กฐ์‚ฌ 1์ฐจโˆผ18์ฐจ ์ž๋ฃŒ๋ฅผ ํ™œ์šฉํ•˜์˜€์œผ๋ฉฐ, ๊ต์ฐจ๋ถ„์„, OLS, ๊ทธ๋ฆฌ๊ณ  ์„ ํ˜•ํ™•๋ฅ ๋ชจํ˜•(LPM)์„ ํ™œ์šฉํ•˜์—ฌ ๋ถ„์„ํ•˜์˜€๋‹ค. ๋ถ„์„๊ฒฐ๊ณผ, ๋ถ€๋ชจ์˜ ๋นˆ๊ณค์ง€์œ„๊ฐ€ ์ž๋…€์˜ ์„ฑ์ธ๊ธฐ ๊ฐ€๊ตฌ์†Œ๋“์— ๋ถ€์  ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚˜ ์•„๋™๊ธฐ ๋นˆ๊ณค์ง€์œ„๊ฐ€ ์ž๋…€์˜ ์„ฑ์ธ๊ธฐ ๊ฐ€๊ตฌ์˜ ๊ฒฝ์ œ์  ์ƒํƒœ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ํ™•์ธํ•˜์˜€๋‹ค. ํŠนํžˆ, ์•„๋™๊ธฐ ๋นˆ๊ณค์ง€์œ„์™€ ๊ด€๋ จ์ด ๊นŠ์œผ๋ฉด์„œ ์ž๋…€์˜ ์„ฑ์ธ๊ธฐ ํŠน์„ฑ์—๋„ ์˜ํ–ฅ์„ ๋ฏธ์น  ์ˆ˜ ์žˆ๋Š” ์ž๋…€์˜ ์ธ์ ์ž๋ณธํŠน์„ฑ๋ณ€์ˆ˜๋“ค์„ ํ†ต์ œํ•˜์—ฌ ๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€์Œ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ , ์•„๋™๊ธฐ ๋นˆ๊ณค์ง€์œ„๊ฐ€ ์„ฑ์ธ๊ธฐ ๋นˆ๊ณค์ง€์œ„์— ์—ฌ์ „ํžˆ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋˜ํ•œ ๋ณธ ์—ฐ๊ตฌ์˜ ํ‘œ๋ณธํŠน์„ฑ์„ ๊ณ ๋ คํ•˜์—ฌ ๋ถ„๊ฐ€์—ฌ๋ถ€์— ๋”ฐ๋ผ ๋ถ€๋ชจ์˜ ๋นˆ๊ณค์ง€์œ„๊ฐ€ ์ž๋…€์˜ ์„ฑ์ธ๊ธฐ ๊ฐ€๊ตฌ์†Œ๋“์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์ด ๋‹ค๋ฅด๊ฒŒ ๋‚˜ํƒ€๋‚˜๋Š”์ง€ ํ™•์ธํ•˜์˜€์„ ๋•Œ์—๋„, ์•ž์—์„œ์˜ ์—ฐ๊ตฌ๊ฒฐ๊ณผ์™€ ๋™์ผํ•œ ๊ฒฐ๊ณผ๊ฐ€ ๋‚˜ํƒ€๋‚˜ ์•„๋™๊ธฐ ๋นˆ๊ณค์ด ์ž๋…€์˜ ์„ฑ์ธ๊ธฐ ๊ฒฝ์ œ์  ์ƒํƒœ์— ๋ถ€์  ์˜ํ–ฅ์„ ๋ฏธ์น˜๊ณ  ์žˆ์Œ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋ถ€๋ชจ์˜ ๋นˆ๊ณค์ง€์œ„๊ฐ€ ์ž๋…€์˜ ๋นˆ๊ณค์ง€์œ„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๋Œ€ํ•œ ๋ถ„์„์—์„œ๋Š”, ๋จผ์ € ์นด์ด์ œ๊ณฑ๊ฒ€์ฆ์„ ํ†ตํ•ด ๋ถ€๋ชจ์˜ ๋นˆ๊ณค์ง€์œ„์— ๋”ฐ๋ผ ์ž๋…€์˜ ๋นˆ๊ณค์ง€์œ„๊ฐ€ ๋‹ค๋ฅด๊ฒŒ ๋‚˜ํƒ€๋‚˜๋Š” ๊ฒƒ์„ ํŒŒ์•…ํ•˜์˜€๋‹ค. ๋˜ํ•œ ์„ ํ˜•ํ™•๋ฅ ๋ชจํ˜•์„ ํ†ตํ•ด ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ, ์•„๋™๊ธฐ ๋ถ€๋ชจ๊ฐ€ ๋นˆ๊ณคํ–ˆ๋˜ ๊ฒฝ์šฐ๊ฐ€ ๊ทธ๋ ‡์ง€ ์•Š์€ ๊ฒฝ์šฐ์— ๋น„ํ•ด ์„ฑ์ธ๊ธฐ์— ๋นˆ๊ณคํ•  ํ™•๋ฅ ์ด ์•ฝ 6%์ •๋„ ์ฆ๊ฐ€ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ํ‘œ๋ณธ์˜ ๋ถ„๊ฐ€์—ฌ๋ถ€๋ฅผ ๊ณ ๋ คํ•˜์—ฌ ์ง‘๋‹จ์„ ๋‚˜๋ˆ„์–ด ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ, ๋ถ„๊ฐ€์—ฌ๋ถ€์— ๋”ฐ๋ผ ๊ทธ ๊ฒฐ๊ณผ๊ฐ€ ๋‹ค๋ฅด๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ฆ‰, ๋ถ„๊ฐ€ํ•˜์ง€ ์•Š์€ ์ง‘๋‹จ์—์„œ๋Š” ๋ถ€๋ชจ์˜ ๋นˆ๊ณค์ง€์œ„๊ฐ€ ์ž๋…€์˜ ๋นˆ๊ณค์ง€์œ„์— ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚œ ๊ฒƒ์— ๋น„ํ•ด์„œ, ๋ถ„๊ฐ€ํ•œ ์ง‘๋‹จ์—์„œ๋Š” ๋ถ€๋ชจ์˜ ๋นˆ๊ณค์ง€์œ„๊ฐ€ ์ž๋…€์˜ ๋นˆ๊ณค์ง€์œ„์— ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น˜์ง€ ์•Š๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋”ฐ๋ผ์„œ ์ด์™€ ๊ฐ™์€ ๊ฒฐ๊ณผ๊ฐ€ ๋‚˜ํƒ€๋‚œ ์ด์œ ๊ฐ€ ์ข…์†๋ณ€์ˆ˜์˜ ์ธก์ •์— ์˜ํ–ฅ์„ ๋ฏธ์น  ์ˆ˜ ์žˆ๋Š” ๊ฐ€๊ตฌ์†Œ๋“์˜ ์ƒ์Šนํšจ๊ณผ์ธ์ง€ ํ˜น์€ ๊ฐ€๊ตฌ์›์ˆ˜์˜ ๊ฐ์†Œ์— ๋”ฐ๋ฅธ ํšจ๊ณผ์ธ์ง€ ์‚ดํŽด๋ณด๊ธฐ ์œ„ํ•˜์—ฌ ๋ถ„๊ฐ€ํ•œ ๊ฐ€๊ตฌ๊ฐ€ ๋ถ„๊ฐ€ํ•˜์ง€ ์•Š์•˜์Œ์„ ๊ฐ€์ •ํ•˜๊ณ  ์ถ”๊ฐ€์ ์œผ๋กœ ๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ๊ทธ ๊ฒฐ๊ณผ, ๋ถ€๋ชจ์˜ ๋นˆ๊ณค์ง€์œ„๊ฐ€ ์ž๋…€์˜ ๋นˆ๊ณค์ง€์œ„์— ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ๋ถ€์  ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚˜ ๋ถ„๊ฐ€ํ•œ ๊ฐ€๊ตฌ์˜ ๊ฐ€๊ตฌ์†Œ๋“ ์ƒ์Šนํšจ๊ณผ๋ณด๋‹ค๋Š” ๊ฐ€๊ตฌ์›์ˆ˜ ๊ฐ์†Œ๋กœ ์ธํ•˜์—ฌ ์ด์™€ ๊ฐ™์€ ๊ฒฐ๊ณผ๊ฐ€ ๋‚˜ํƒ€๋‚ฌ์„ ๊ฐ€๋Šฅ์„ฑ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋”ฐ๋ผ์„œ ๋ถ„๊ฐ€๋ฅผ ํ•˜์˜€๋”๋ผ๋„ ์—ฌ์ „ํžˆ ๋ถ€๋ชจ์˜ ๋นˆ๊ณค์ง€์œ„๊ฐ€ ์ž๋…€์˜ ๋นˆ๊ณค์ง€์œ„์— ์—ฌ์ „ํžˆ ์˜ํ–ฅ์„ ๋ฏธ์น˜๊ณ  ์žˆ์„ ๊ฐ€๋Šฅ์„ฑ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ๋ถ€๋ชจ์˜ ๋นˆ๊ณค์‹ฌ๋„์— ๋”ฐ๋ผ ์ž๋…€์˜ ์„ฑ์ธ๊ธฐ ๊ฐ€๊ตฌ์†Œ๋“ ๋ฐ ๋นˆ๊ณค์ง€์œ„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์ด ์ƒ์ดํ•˜๊ฒŒ ๋‚˜ํƒ€๋‚˜๋Š”์ง€ ๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ๋ถ„์„๊ฒฐ๊ณผ, ์•„๋™๊ธฐ ๋ถ€๋ชจ์˜ ๋นˆ๊ณค์‹ฌ๋„์— ๋”ฐ๋ผ ์ž๋…€์˜ ์„ฑ์ธ๊ธฐ ๊ฐ€๊ตฌ์†Œ๋“ ๋ฏผ ๋นˆ๊ณค์ง€์œ„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์ฐจ์ด๊ฐ€ ์—†๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ด์™€ ๊ฐ™์€ ๊ฒฐ๊ณผ๋Š” ๋ถ„์„๋Œ€์ƒ์ธ ์ฒญ๋…„์ธต์˜ ๋…ธ๋™์‹œ์žฅ ํŠน์„ฑ์ด ๋ฐ˜์˜๋˜์—ˆ์„ ๊ฐ€๋Šฅ์„ฑ๊ณผ, ์ข…์†๋ณ€์ˆ˜๋กœ ๊ฐœ์ธ์˜ ์„ฑ์ทจ๊ฐ€ ์•„๋‹Œ ๊ฐ€๊ตฌ์— ๋Œ€ํ•œ ์ธก์ •์„ ์ค‘์‹ฌ์œผ๋กœ ํ•œ ๋ณ€์ˆ˜๋ฅผ ํ™œ์šฉํ•˜์˜€๋‹ค๋Š” ๊ฒƒ์ด ๊ฒฐ๊ณผ๋ถ„์„์— ๋ฐ˜์˜๋˜์—ˆ์„ ๊ฐ€๋Šฅ์„ฑ์ด ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ํ•œ๊ตญ์—์„œ๋„ ๋นˆ๊ณค์˜ ์„ธ๋Œ€ ๊ฐ„ ์ด์ „์ด ๋‚˜ํƒ€๋‚˜๋Š”์ง€ ์‚ดํŽด๋ณธ ํƒ์ƒ‰์  ์—ฐ๊ตฌ๋กœ์„œ, ์•„๋™๊ธฐ ๋ถ€๋ชจ์˜ ๋นˆ๊ณค์ง€์œ„๊ฐ€ ์ž๋…€์˜ ์„ฑ์ธ๊ธฐ ๋นˆ๊ณค์ง€์œ„์— ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น˜๊ณ  ์žˆ์Œ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋”ฐ๋ผ์„œ ํ•œ๊ตญ์—์„œ๋„ ๋นˆ๊ณค์˜ ์„ธ๋Œ€ ๊ฐ„ ์ด์ „์ด ๋‚˜ํƒ€๋‚˜๊ณ  ์žˆ์„ ๊ฐ€๋Šฅ์„ฑ์ด ์žˆ์Œ์„ ์‹ค์ฆ์ ์œผ๋กœ ๊ทœ๋ช…ํ•˜์˜€๋‹ค๋Š” ์˜์˜๋ฅผ ์ง€๋‹Œ๋‹ค. ๋˜ํ•œ ์ธ์ ์ž๋ณธํˆฌ์ž๋ชจ๋ธ์„ ๊ณ ๋ คํ•˜์˜€์„ ๋•Œ, ๊ทธ ์˜ํ–ฅ๋ ฅ์ด ํฌ์ง€ ์•Š์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚˜ ๋‘ ๋ณ€์ˆ˜ ๊ฐ„ ๊ด€๊ณ„๋ฅผ ์„ค๋ช…ํ•  ์ˆ˜ ์žˆ๋Š” ๋‹ค๋ฅธ ์ด๋ก ์  ๊ณ ๋ ค๊ฐ€ ํ•„์š”ํ•จ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋”ฐ๋ผ์„œ ์•ž์œผ๋กœ์˜ ๋นˆ๊ณค์ •์ฑ… ์„ค๊ณ„ ์‹œ, ๋นˆ๊ณค์œจ์˜ ๊ฐ์†Œ๋ฅผ ์œ„ํ•œ ์ •์ฑ…๊ณผ ํ•จ๊ป˜ ๋นˆ๊ณค์•„๋™์˜ ๊ธฐํšŒ์˜ ํ‰๋“ฑ์„ ์ฆ์ง„์‹œํ‚ฌ ์ˆ˜ ์žˆ๋Š” ์ •์ฑ…์  ๊ฐœ์ž…์˜ ํ•„์š”์„ฑ์„ ๋ณด์—ฌ์ฃผ์—ˆ๋‹ค๋Š” ํ•จ์˜๋ฅผ ์ง€๋‹Œ๋‹ค.I. ์„œ๋ก  1 ์ œ 1 ์ ˆ ๋ฌธ์ œ์ œ๊ธฐ 1 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ๋ฌธ์ œ 7 II. ์ด๋ก ์  ๋ฐฐ๊ฒฝ ๋ฐ ์„ ํ–‰์—ฐ๊ตฌ ๊ฒ€ํ†  8 ์ œ 1 ์ ˆ ์„ธ๋Œ€ ๊ฐ„ ์ด๋™์„ฑ๊ณผ ๋นˆ๊ณค 8 1. ์„ธ๋Œ€ ๊ฐ„ ์ด๋™์„ฑ ์—ฐ๊ตฌ 8 2. ๋นˆ๊ณค์ง€์œ„์˜ ์„ธ๋Œ€ ๊ฐ„ ์ด์ „ 12 ์ œ 2 ์ ˆ ๋ถ€๋ชจ์˜ ๋นˆ๊ณค์ง€์œ„๊ฐ€ ์ž๋…€์˜ ๋นˆ๊ณค์ง€์œ„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ 17 1. ๋ถ€๋ชจ์˜ ๋นˆ๊ณค์ง€์œ„๊ฐ€ ์ž๋…€์˜ ๋นˆ๊ณค์ง€์œ„์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒฝ๋กœ 17 2. ๋ถ€๋ชจ์˜ ๋นˆ๊ณค์‹ฌ๋„๊ฐ€ ์ž๋…€์˜ ๋นˆ๊ณค์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ 21 ์ œ 3 ์ ˆ ๋นˆ๊ณค์˜ ์„ธ๋Œ€ ๊ฐ„ ์ด์ „์— ๋Œ€ํ•œ ์‹ค์ฆ์—ฐ๊ตฌ ๊ฒ€ํ†  25 1. ๊ตญ์™ธ ์„ ํ–‰์—ฐ๊ตฌ 25 2. ๊ตญ๋‚ด ์„ ํ–‰์—ฐ๊ตฌ 29 III. ์—ฐ๊ตฌ๊ฐ€์„ค ๋ฐ ์—ฐ๊ตฌ๋ชจํ˜• 34 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ๊ฐ€์„ค 34 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ๋ชจํ˜• 37 IV. ์—ฐ๊ตฌ๋ฐฉ๋ฒ• 42 ์ œ 1 ์ ˆ ๋ถ„์„์ž๋ฃŒ 42 ์ œ 2 ์ ˆ ๋ณ€์ˆ˜์˜ ์ •์˜ ๋ฐ ์ธก์ • 44 ์ œ 3 ์ ˆ ๋ถ„์„๋ฐฉ๋ฒ• 53 ์ œ 4 ์ ˆ ์ž๋ฃŒ๊ตฌ์„ฑ 59 V. ๋ถ„์„๊ฒฐ๊ณผ 62 ์ œ 1 ์ ˆ ๊ธฐ์ดˆํ†ต๊ณ„ 62 ์ œ 2 ์ ˆ ๊ฐ€์„ค๊ฒ€์ฆ 67 1. ๋ถ€๋ชจ์˜ ๋นˆ๊ณค์ง€์œ„๊ฐ€ ์ž๋…€์˜ ์„ฑ์ธ๊ธฐ ๊ฐ€๊ตฌ์†Œ๋“์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ 67 2. ๋ถ€๋ชจ์˜ ๋นˆ๊ณค์ง€์œ„๊ฐ€ ์ž๋…€์˜ ๋นˆ๊ณค์ง€์œ„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ 83 3. ๋ถ€๋ชจ์˜ ๋นˆ๊ณค์‹ฌ๋„๊ฐ€ ์ž๋…€์˜ ๋นˆ๊ณค์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ 96 VI. ๊ฒฐ๋ก  104 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ๊ฒฐ๊ณผ ์š”์•ฝ 104 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ์˜ ํ•จ์˜ 108 ์ œ 3 ์ ˆ ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„ ๋ฐ ํ›„์†์—ฐ๊ตฌ๋ฅผ ์œ„ํ•œ ์ œ์–ธ 114 ์ฐธ๊ณ ๋ฌธํ—Œ 117 ๋ถ€๋ก 130 Abstract 138Maste

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    ์ขŒ๋‹ดํšŒ ์ง„ํ–‰ ๋ฐฉ์‹์€ ๊ต์ˆ˜ํ•™์Šต๊ฐœ๋ฐœ์„ผํ„ฐ ๋ถ€์„œ๋ณ„ ๊ต์œก ํ”„๋กœ๊ทธ๋žจ ์•ˆ๋‚ด (๊ต์ˆ˜์ž, ํ•™๋ถ€ํ•™์ƒ, ๋Œ€ํ•™์›์ƒ ๋Œ€์ƒ ๊ต์œก ์ง€์› ํ”„๋กœ๊ทธ๋žจ ์•ˆ๋‚ด ๋ฐ ๊ฐ ๋‹จ๊ณผ๋Œ€ ํ•™๊ณผ์˜ ํ˜‘๋ ฅ ์‚ฌ๋ก€ ์†Œ๊ฐœ)์™€ ๊ฐ ๋‹จ๊ณผ๋Œ€ํ•™๋ณ„ ๊ต์œก ๊ฐœ์„ ์„ ์œ„ํ•œ ์š”๊ตฌ ์‚ฌํ•ญ ์ „ ๋‹ฌ ๋ฐ ํ˜‘๋ ฅ ๋ฐฉ์•ˆ์— ๋Œ€ํ•œ ๋…ผ์˜๋กœ ์ง„ํ–‰๋˜์—ˆ๋‹ค. ๋‹ค์Œ์˜ ๋‚ด์šฉ์€ ์–‘์ผ์— ๊ฑธ์ณ ์ง„ํ–‰๋œ ์ขŒ๋‹ดํšŒ ๋‚ด์šฉ์„ ์ฃผ์ œ ์ค‘์‹ฌ์œผ๋กœ ์žฌ๊ตฌ์„ฑํ•œ ๊ฒƒ์ด๋‹ค

    Consent for withholding life-sustaining treatment in cancer patients: a retrospective comparative analysis before and after the enforcement of the Life Extension Medical Decision law

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    Background: The Life Extension Medical Decision law enacted on February 4, 2018 in South Korea was the first to consider the suspension of futile life-sustaining treatment, and its enactment caused a big controversy in Korean society. However, no study has evaluated whether the actual implementation of life-sustaining treatment has decreased after the enforcement of this law. This study aimed to compare the provision of patient consent before and after the enforcement of this law among cancer patients who visited a tertiary university hospital's emergency room to understand the effects of this law on the clinical care of cancer patients. Methods: This retrospective single cohort study included advanced cancer patients aged over 19 years who visited the emergency room of a tertiary university hospital. The two study periods were as follows: from February 2017 to January 2018 (before) and from May 2018 to April 2019 (after). The primary outcome was the length of hospital stay. The consent rates to perform cardiopulmonary resuscitation (CPR), intubation, continuous renal replacement therapy (CRRT), and intensive care unit (ICU) admission were the secondary outcomes. Results: The length of hospital stay decreased after the law was enforced from 4 to 2 days (p = 0.001). The rates of direct transfers to secondary hospitals and nursing hospitals increased from 8.2 to 21.2% (p = 0.001) and from 1.0 to 9.7%, respectively (p < 0.001). The consent rate for admission to the ICU decreased from 6.7 to 2.3% (p = 0.032). For CPR and CRRT, the consent rates decreased from 1.0 to 0.0% and from 13.9 to 8.8%, respectively, but the differences were not significant (p = 0.226 and p = 0.109, respectively). Conclusion: After the enforcement of the Life Extension Medical Decision law, the length of stay in the tertiary university hospital decreased in patients who established their life-sustaining treatment plans in the emergency room. Moreover, the rate of consent for ICU admission decreased.ope

    ์งง์€ ๊ธ€ ์ฝ๊ธฐ์˜ ๋งค์ฒด ๋ณ„ (์ข…์ด, ์ปดํ“จํ„ฐ, ํƒœ๋ธ”๋ฆฟ) ์ธ์ง€ ๋ถ€ํ•˜ ์ฐจ์ด ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์œตํ•ฉ๊ณผํ•™๊ธฐ์ˆ ๋Œ€ํ•™์› ์œตํ•ฉ๊ณผํ•™๋ถ€(๋””์ง€ํ„ธ์ •๋ณด์œตํ•ฉ์ „๊ณต), 2018. 8. ๊ถŒ๊ฐ€์ง„.As portable technology has become prevalent in our daily lives, peoples reading activity, especially their means of access, has changed with the variety of reading media available. People can selectively choose reading media and utilize a mixture of print and digital media based on their preferences and purposes. However, as digital reading is a natural activity for younger people, there has been growing concern that reading on digital media could profoundly affect peoples abilities, preferences, and attitudes towards reading. Taking this into account, researchers have performed comparison studies of print and digital readings with various age groups to investigate differences in reading experience and possible effects on reading abilities, such as reading time and reading comprehension. Although multiple studies have demonstrated phenomenological differences between print and digital readings, these studies have shown inconsistent findingsnevertheless, differentiating between the reading effects of print and digital media results in a wide variety of outcomes. To further explore differences of reading experience between print and digital reading, the present study examined the differences of cognitive workloads of short passage reading tasks across print and digital media (e.g., computer and tablet). In particular, we measured both objective and subjective variables of reading experience i of readers with eye-tracking data and survey analysis. Two laboratory experiments were conducted with undergraduate and graduate students in South Korea (n = 32n = 52). For both experiments, students performed a number of short passage reading tasks across paper, computer, and tablet while wearing an eye-tracking device. After the experiment, students were asked to answer self-report questionnaires and to take reading comprehension tests. Results demonstrated two key findings. First, more cognitive workloads could be observed from both objective and subjective variables when reading digital media instead of print media. In particular, tablet readings demanded more cognitive workloads than print and computer readings, suggesting that it might be an inappropriate medium for short passage readings. Second, reading activities across print, computer, and tablet formats could be more psychological and subjective than we might think. Even though there were no differences in reading time and reading comprehension, readers felt they understood better and were more confident in their comprehension when reading from print than from digital media. Taken together, our results suggest that although reading on screen could exert higher levels of cognitive loads on readers, the negative effect could be insignificant for digital natives more than we might believe. Therefore, in current digital society, it is better for readers to choose reading media based on their preferences and purposes of their reading.Chapter 1. Introduction....................................................................1 โ€“ 4 Chapter 2. Literature Review.........................................................5 โ€“ 17 2.1. Reading in the Digital Age...........................................................5 โ€“ 8 2.2. Research on Print vs. Digital Readings.......................................8 โ€“ 17 Differences in Reading Behavior Pattern...................................9 โ€“ 10 Eye-movements, Readings, and Cognitive Workloads.............11 โ€“ 13 Reading Time and Reading Comprehension............................13 โ€“ 15 Subjective Impressions of Reading Experience .......................15 โ€“ 17 Comparison of Objective and Subjective Variables .........................17 Chapter 3. Study 1........................................................................18 โ€“ 30 3.1. Research Question and Hypothesis...................................................18 3.2. Methods...................................................................................19 โ€“ 26 3.3. Results.....................................................................................27 โ€“ 30 3.3.1. Participants and Their Perceptions on Reading Media....27 โ€“ 28 3.3.2. Objective Variables of Reading Experience...................28 โ€“ 30 Chapter 4. Study 2........................................................................31 โ€“ 45 4.1. Research Question and Hypothesis...........................................31 โ€“ 33 4.2. Methods...................................................................................34 โ€“ 39 4.3. Results.....................................................................................40 โ€“ 45 4.3.1. Participants and Their Perceptions on Reading Media....40 โ€“ 41 4.3.2. Objective Variables of Reading Experience...................41 โ€“ 43 4.3.3. Subjective Variables of Reading Experience..................43 โ€“ 45 Chapter 5. Discussion ...................................................................46 โ€“ 53 5.1. Research Contribution..............................................................50 โ€“ 51 5.2. Limitations and Future Directions ............................................ 51 โ€“ 53 References ..................................................................................... 54 โ€“ 61 Abstract in Korean ...............................................................................62Maste

    ํ๊ฒฐํ•ตํ™˜์ž์˜ ๋‹จ๊ธฐ์น˜๋ฃŒํšจ๊ณผ์— ๊ด€ํ•œ ์—ฐ๊ตฌ : ์„œ์šธ์‹œ ๋ณด๊ฑด์†Œ์— ๋“ฑ๋ก๋œ ํ™˜์ž๋ฅผ ์ค‘์‹ฌ์œผ๋กœ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธๅคงๅญธๆ ก ไฟๅฅๅคงๅญธ้™ข :ไฟๅฅๅญธ็ง‘ ไฟๅฅ่กŒๆ”ฟๅญธๅฐˆๆ”ป,1995.Maste

    ์ƒํ’ˆ์„ ๋ฌผ์˜ ๊ธฐ๊ฐ„๊ตฌ์กฐ ๋ชจํ˜•

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) --์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์ˆ˜๋ฆฌ๊ณผํ•™๋ถ€,2010.2.Maste

    ์ด์›ƒ๊ด€๊ณ„์˜ ์ค‘์š”๋„์™€ ๊ณต๊ฐ„์  ํŠน์„ฑ์— ๊ด€ํ•œ ์‹ค์ฆ๋ถ„์„

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ํ™˜๊ฒฝ๋Œ€ํ•™์› : ํ™˜๊ฒฝ๊ณ„ํšํ•™๊ณผ, 2014. 2. ์ตœ๋ง‰์ค‘.์˜ค๋Š˜๋‚ ์˜ ๊ตํ†ต๊ณผ ํ†ต์‹ ๊ธฐ์ˆ ์˜ ํ˜์‹ ์€ ๋„คํŠธ์›Œํฌ ์‚ฌํšŒ๋กœ์˜ ๋ณ€ํ™”๋ฅผ ์ดˆ๋ž˜ํ•˜์˜€์œผ๋ฉฐ, ์ง€์—ญ๊ณต๋™์ฒด๋Š” ํƒˆ๊ณต๊ฐ„ํ™” ๊ณผ์ •์„ ๊ฑฐ์น˜๋ฉด์„œ ์ฃผ๊ฑฐ๊ณต๊ฐ„์—์„œ์˜ ๊ณต๋™์ฒด๋Š” ํ•ด์ฒด๋˜๊ณ  ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ์ƒํ™ฉ์—์„œ ์ง€์—ญ๊ณต๋™์ฒด ํ™œ์„ฑํ™”๋ฅผ ์œ„ํ•œ ๋งˆ์„๋งŒ๋“ค๊ธฐ์™€ ๋„์‹œ์žฌ์ƒ ์ •์ฑ… ๋“ฑ์ด ์ง€์—ญํ™œ์„ฑํ™” ์ „๋žต์œผ๋กœ์จ ์ฃผ๋ชฉ๋ฐ›๊ณ  ์žˆ์œผ๋ฉฐ, ์ด๋“ค ์ •์ฑ…๋“ค์€ ์ฃผ๋ฏผ ์ฃผ๋„๋กœ ๋งˆ์„์„ ๊ฐ€๊พธ์–ด ๋‚˜๊ฐˆ ์ˆ˜ ์žˆ๋„๋ก ์ฃผ๋ฏผ๋“ค์˜ ์ง€์—ญ์‚ฌํšŒ์— ๋Œ€ํ•œ ๊ด€์‹ฌ๊ณผ ์ฐธ์—ฌ์˜ ๊ธฐํšŒ๋ฅผ ์ฆ์ง„ํ•˜๊ธฐ ์œ„ํ•ด ์ฃผ๊ฑฐ์ง€ ๊ณต๊ฐ„์„ ๋งค๊ฐœ๋กœํ•œ ๊ด€๊ณ„๋กœ์จ ์ด์›ƒ๊ด€๊ณ„๋ฅผ ์ค‘์š”ํ•˜๊ฒŒ ์ธ์‹ํ•˜๊ณ  ์žˆ๋‹ค. ํ•˜์ง€๋งŒ ์‹ค์ œ๋กœ ๋„์‹œ๋ฏผ์—๊ฒŒ ์ฃผ๊ฑฐ์ง€ ๊ณต๊ฐ„์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•œ ์ด์›ƒ๊ด€๊ณ„๊ฐ€ ๋‹ค๋ฅธ ์‚ฌํšŒ๊ด€๊ณ„์— ๋น„ํ•ด ์ค‘์š”ํ•˜๊ฒŒ ์ธ์‹๋˜๋Š” ์ง€์— ๋Œ€ํ•œ ์‹ค์ฆ์—ฐ๊ตฌ๋Š” ๋ฏธํกํ•˜๋‹ค. ๋˜ํ•œ ์ด์›ƒ๊ด€๊ณ„์˜ ํŠน์„ฑ์„ ๋ถ„์„ํ•œ ์—ฐ๊ตฌ๋“ค์€ ๊ด€๊ณ„๋ฅผ ๋งบ๋Š” ์ด์›ƒ์—๋งŒ ์ฃผ๋กœ ์ดˆ์ ์„ ๋‘๊ณ  ๋ถ„์„ํ•  ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ, ์ด์›ƒ๊ด€๊ณ„๋ฅผ ๊ณ ์ •๋œ ์ง‘๋‹จ์œผ๋กœ ์ธ์‹ํ•˜๋Š” ๊ฒฝ์šฐ๊ฐ€ ๋งŽ์•˜๋‹ค. ๋•Œ๋ฌธ์— ์ด๋Ÿฌํ•œ ์„ ํ–‰์—ฐ๊ตฌ๋“ค์€ ์ด์›ƒ๊ด€๊ณ„์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ ๋ถ„์„๊ณผ, ์ด์›ƒ๊ด€๊ณ„ ํ˜•์„ฑ์˜ ๊ณ„๊ธฐ, ๊ณต๊ฐ„์  ๋ฒ”์œ„, ๊ต๋ฅ˜๊ณต๊ฐ„์— ๋Œ€ํ•œ ์—ฐ๊ตฌ๊ฒฐ๊ณผ์— ์žˆ์–ด์„œ ์ผ๊ด€์„ฑ์„ ๊ฐ–์ง€ ๋ชปํ•˜๋Š” ๊ฒฝ์šฐ๊ฐ€ ์žˆ์—ˆ๋‹ค. ํ•˜์ง€๋งŒ ์ด์›ƒ๊ด€๊ณ„๋ฅผ ํฌํ•จํ•œ ๋ชจ๋“  ์‚ฌํšŒ๊ด€๊ณ„๋Š” ์‹œ๊ฐ„์˜ ํ๋ฆ„์— ๋”ฐ๋ผ ๊ฐœ์ธ์—๊ฒŒ ์š”๊ตฌ๋˜๋Š” ์—ญํ• ๊ณผ ์š”๊ตฌ์˜ ๋ณ€ํ™”์— ๋”ฐ๋ผ ๋‹ฌ๋ผ์ง€๊ธฐ ๋•Œ๋ฌธ์— ์ด์›ƒ๊ด€๊ณ„๋ฅผ ์‹œ๊ฐ„์˜ ํ๋ฆ„์— ๋”ฐ๋ผ ๋ณ€ํ™”ํ•˜๋Š” ์‹ค์ฒด๋กœ์จ ์—ฐ๊ตฌํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ž๋…€์˜ ์ถœ์‚ฐ๊ณผ ์–‘์œก, ๊ต์œก, ๋…๋ฆฝ ๋“ฑ์˜ ๊ฐ€๊ตฌ์˜ ํŠน์„ฑ ๋ณ€ํ™”๋ฅผ ๊ณ ๋ คํ•œ ์ƒ์• ์ฃผ๊ธฐ๋‹จ๊ณ„๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ๊ฐœ์ธ์ด ๋งบ๊ฒŒ ๋˜๋Š” ์ด์›ƒ, ์นœ๊ตฌ ๋™๋ฃŒ ๋“ฑ์˜ ๋น„ํ˜ˆ์—ฐ ์‚ฌํšŒ๊ด€๊ณ„ ๋Œ€๋น„ ์ด์›ƒ๊ด€๊ณ„๊ฐ€ ์ฐจ์ง€ํ•˜๋Š” ๋น„์ค‘์˜ ๋ณ€ํ™”๋ฅผ ๊ณ ์ฐฐํ•˜์˜€๋‹ค. ๋˜ํ•œ ์ฃผ๊ฑฐ์ง€๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ํ•œ ๊ณต๊ฐ„ ๊ธฐ๋ฐ˜์˜ ์ด์›ƒ๊ด€๊ณ„์˜ ์ค‘์š”๋„์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ์„ ๋ถ„์„ํ•จ์œผ๋กœ์จ ์ด์›ƒ๊ด€๊ณ„์˜ ๋น„์ค‘์„ ํ™•๋Œ€์‹œํ‚ค๋Š” ๋ณ€์ธ๋“ค์„ ํ™•์ธํ•˜์˜€๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์ƒ์• ์ฃผ๊ธฐ๋‹จ๊ณ„์— ๋”ฐ๋ฅธ ์ด์›ƒ๊ด€๊ณ„์˜ ๊ณต๊ฐ„์  ๋ฒ”์œ„์™€ ๊ต๋ฅ˜๊ณต๊ฐ„์˜ ์ฐจ์ด๋ฅผ ํ™•์ธํ•˜๊ณ , ์ง€์—ญ๊ณต๋™์ฒด ํ™œ์„ฑํ™”๋ฅผ ์œ„ํ•ด ์ด์›ƒ๊ด€๊ณ„๋ฅผ ์ œ๊ณ ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋Š” ๋„์‹œ๊ณ„ํš์  ์‹œ์‚ฌ์ ์„ ์ œ์‹œํ•˜๋Š” ๋ฐ์— ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์„ ๋‘์—ˆ๋‹ค. ๋ถ„์„๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ๊ณต๋™์ฒด ์กฐ์„ฑ๊ณผ ๋ณต์›์„ ํ†ตํ•œ ์ง€์—ญํ™œ์„ฑํ™” ์ „๋žต์œผ๋กœ์จ ๋งˆ์„ ๋˜๋Š” ์ฃผ๊ฑฐ์ง€์—์„œ์˜ ์ด์›ƒ๊ด€๊ณ„๊ฐ€ ์ค‘์š”ํ•˜๊ฒŒ ์ธ์‹๋˜๊ณ  ์žˆ๋‹ค. ํ•˜์ง€๋งŒ ์ฃผ๊ฑฐ์ง€์—์„œ์˜ ์ด์›ƒ๊ด€๊ณ„๋Š” ๋‚จ์„ฑ๋ณด๋‹ค ์—ฌ์„ฑ์—๊ฒŒ ์ค‘์š”ํ•˜๋ฉฐ, ์—ฌ์„ฑ ์ค‘์—์„œ๋„ ์ž๋…€์ดˆ๋“ฑ๊ธฐ ์ดํ›„๋ถ€ํ„ฐ ๋”์šฑ ์ค‘์š”ํ•œ ์˜๋ฏธ๊ฐ€ ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค. ์ฆ‰, ๋งˆ์„ ๋˜๋Š” ์ฃผ๊ฑฐ์ง€์—์„œ์˜ ๊ณต๋™์ฒด ํ™œ์„ฑํ™” ์ •์ฑ…๋“ค์ด ๋‚ดํฌํ•˜๊ณ  ์žˆ๋Š” ์‚ฌํšŒ์  ์ค‘์š”์„ฑ์€ ๋ชจ๋“  ์‚ฌ๋žŒ์—๊ฒŒ ์ค‘์š”ํ•œ ๊ฒƒ์€ ์•„๋‹ˆ๋ฉฐ, ์ƒ์• ์ฃผ๊ธฐ๋‹จ๊ณ„์— ๋”ฐ๋ผ ํŽธ์ฐจ๊ฐ€ ์žˆ์„ ์ˆ˜ ์žˆ์Œ์„ ์˜๋ฏธํ•œ๋‹ค. ๋”ฐ๋ผ์„œ ์ง€์—ญ๊ณต๋™์ฒด ํ™œ์„ฑํ™”์™€ ๊ด€๋ จ๋œ ๋งˆ์„๋งŒ๋“ค๊ธฐ๋‚˜ ๋„์‹œ์žฌ์ƒ ๋“ฑ ๋‹ค์–‘ํ•œ ์ฃผ๊ฑฐ๊ณต๋™์ฒด ํ™œ์„ฑํ™” ์ •์ฑ…์—์„œ ์—ฌ์„ฑ๋“ค์ด ๊ด€์‹ฌ์„ ๊ฐ€์ง€๊ณ  ์ฐธ์—ฌํ•  ์ˆ˜ ์žˆ๋Š” ํ”„๋กœ๊ทธ๋žจ์„ ๋งŒ๋“œ๋Š” ๋ฐ์— ๊ด€์‹ฌ์„ ๊ฐ–๋Š” ๊ฒƒ์ด ํ•„์š”ํ•  ๊ฒƒ์ด๋‹ค. ์ฆ‰, ์ฃผ๊ฑฐ์ง€ ๊ณต๊ฐ„์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•œ ์ด์›ƒ๊ด€๊ณ„๋ฅผ ์ƒ๋Œ€์ ์œผ๋กœ ์ค‘์š”ํ•˜๊ฒŒ ์ธ์‹ํ•˜๋ฉฐ ๋งŽ์€ ์ด์›ƒ๊ด€๊ณ„๋ฅผ ๋งบ๋Š” ์—ฌ์„ฑ๋“ค์„ ๋Œ€์ƒ์œผ๋กœ ์ด์›ƒ๊ณผ ๊ด€๊ณ„๋ฅผ ๋งบ๊ฒŒ ๋˜๋Š” ๊ณ„๊ธฐ ๋ฐ ํ•„์š”๋ฅผ ๊ณ ๋ คํ•˜์—ฌ ์ฐธ์—ฌ๋ฅผ ๋…๋ คํ•  ์ˆ˜ ์žˆ๋Š” ์ •์ฑ… ๋ฐ ํ”„๋กœ๊ทธ๋žจ์„ ์ œ๊ณตํ•˜๊ฒŒ ๋  ๊ฒฝ์šฐ ์ง€์—ญ๊ณต๋™์ฒด ํ™œ์„ฑํ™”์— ์ข€ ๋” ๊ธฐ๋Šฅ์ ์ธ ํšจ๊ณผ๋ฅผ ๊ธฐ๋Œ€ํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค. ๋‘˜์งธ, ์ƒ์• ์ฃผ๊ธฐ๋‹จ๊ณ„ ์ค‘ ์ž๋…€์–‘์œก๊ธฐ์™€ ์ž๋…€์ง„์ˆ˜๊ธฐ ์—ฌ์„ฑ์˜ ๊ฒฝ์šฐ ์ด์›ƒ๊ด€๊ณ„์˜ ๋ฒ”์œ„๋Š” ์ฃผ๋กœ ๋‹จ์ง€ ๋ฐ ๋™๋„ค์— ํ•œ์ •๋˜์–ด ์žˆ์œผ๋ฉฐ, ์ด์›ƒ๊ต๋ฅ˜๊ณต๊ฐ„์œผ๋กœ์จ ๋„๋ณด๊ถŒ๋‚ด์˜ ๊ณ„ํš๊ณต๊ฐ„์„ ์ฃผ๋กœ ์ด์šฉํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค. ์ด๋Š” ๋„๋ณด๊ถŒ ๋‚ด์˜ ์ฃผ๊ฑฐ์ง€์— ์ปค๋ฎค๋‹ˆํ‹ฐ ์‹œ์„ค ๋ฐ ๊ณต๊ฐ„์„ ๊ณต๊ธ‰ํ•˜๋Š” ๋„์‹œ๊ณ„ํš์  ์ ‘๊ทผ๋ฐฉ์‹์ด ์ด๋“ค ์ƒ์• ์ฃผ๊ธฐ๋‹จ๊ณ„์—๊ฒŒ๋Š” ํšจ๊ณผ์ ์œผ๋กœ ์ž‘์šฉํ•˜๊ณ  ์žˆ์Œ์„ ๋œปํ•œ๋‹ค. ๋ฐ˜๋ฉด, ์ž๋…€์ดˆ๋“ฑ๊ธฐ๋ถ€ํ„ฐ ์ž๋…€์ค‘๊ณ ๋“ฑ๊ธฐ ์—ฌ์„ฑ์˜ ๊ฒฝ์šฐ์—๋Š” ์ƒ๋Œ€์ ์œผ๋กœ ์ด์›ƒ๊ด€๊ณ„์˜ ๊ณต๊ฐ„์  ๋ฒ”์œ„๊ฐ€ ๋‹จ์ง€ ๋ฐ ๋™๋„ค๋ฅผ ๋ฒ—์–ด๋‚˜ ์ดˆ๋“ฑํ•™๊ต ํ†ตํ•™๊ตฌ์—ญ ์ˆ˜์ค€์˜ ์™ธ๋ถ€ ์ง€ํ–ฅ์ ์ด๋ฉฐ, ์ด์›ƒ๊ต๋ฅ˜์˜ ์žฅ์†Œ ์ค‘ ๋น„๊ณ„ํš์  ๊ณต๊ฐ„์„ ์„ ํ˜ธํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋”ฐ๋ผ์„œ ์ปค๋ฎค๋‹ˆํ‹ฐ์‹œ์„ค์„ ๊ณต๊ธ‰ํ•˜๋Š” ๋“ฑ์˜ ๊ธฐ์กด ๊ณ„ํš์  ๊ด€์ ์—์„œ ์ œ๊ณต๋˜๋Š” ๋ฌผ๋ฆฌ์ ์ธ ๊ณ„ํš๊ณต๊ฐ„์€ ์ด๋“ค ์ƒ์• ์ฃผ๊ธฐ๋‹จ๊ณ„์˜ ์ด์›ƒ๊ด€๊ณ„๋ฅผ ์ œ๊ณ ์‹œํ‚ค๊ธฐ์—๋Š” ๋ฏธํกํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋”ฐ๋ผ์„œ ํ•ด๋‹น ์ƒ์• ์ฃผ๊ธฐ๋‹จ๊ณ„์˜ ์ด์›ƒ๊ด€๊ณ„๋ฅผ ์ œ๊ณ ์‹œํ‚ค๊ธฐ ์œ„ํ•ด์„œ๋Š” ๋ฌผ๋ฆฌ์  ๊ณต๊ฐ„์˜ ๊ณต๊ธ‰์— ์น˜์ค‘ํ•˜๊ธฐ ๋ณด๋‹ค๋Š” ์ž๋…€๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ํ•œ ๋‹ค์–‘ํ•œ ํ”„๋กœ๊ทธ๋žจ์„ ์ œ๊ณตํ•จ์œผ๋กœ์จ ์ด์›ƒ๊ด€๊ณ„ ํ˜•์„ฑ์˜ ๊ณ„๊ธฐ๋ฅผ ๋งˆ๋ จํ•ด ์ฃผ๋Š” ๋“ฑ์˜ ์†Œํ”„ํŠธ์›จ์–ด์  ์ ‘๊ทผ์ด ํ•„์š”ํ•  ๊ฒƒ์œผ๋กœ ๋ณด์ธ๋‹ค. ์ด๋Š” ์ง€์—ญ๊ณต๋™์ฒด ํ™œ์„ฑํ™”๋ฅผ ์œ„ํ•œ ๋งˆ์„๋งŒ๋“ค๊ธฐ, ๋„์‹œ์žฌ์ƒ ๋“ฑ์˜ ์ •์ฑ…์— ์žˆ์–ด์„œ๋„ ์ƒ์• ์ฃผ๊ธฐ๋‹จ๊ณ„์— ๋”ฐ๋ฅธ ์ด์›ƒ๊ด€๊ณ„ ํ˜•์„ฑ์˜ ๊ณ„๊ธฐ ๋ฐ ๊ณต๊ฐ„์  ๋ฒ”์œ„, ๊ต๋ฅ˜๊ณต๊ฐ„ ๋“ฑ์˜ ์ฐจ์ด๋ฅผ ๊ณ ๋ คํ•˜์—ฌ, ๋ฌผ๋ฆฌ์  ์ปค๋ฎค๋‹ˆํ‹ฐ ์‹œ์„ค ๋ฐ ๊ณต๊ฐ„์˜ ๊ณต๊ธ‰ ๋“ฑ์˜ ํ•˜๋“œ์›จ์–ด์  ์ ‘๊ทผ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์ฃผ๋ฏผ๋“ค์˜ ์ฐธ์—ฌ๋ฅผ ๋…๋ คํ•  ์ˆ˜ ์žˆ๋Š” ๋‹ค์–‘ํ•œ ํ”„๋กœ๊ทธ๋žจ์˜ ๊ณต๊ธ‰ ๋“ฑ ์†Œํ”„ํŠธ์›จ์–ด์  ์ ‘๊ทผ์ด ๋™์‹œ์— ์ด๋ฃจ์–ด์ ธ์•ผ ํ•  ๊ฒƒ์ž„์„ ์˜๋ฏธํ•œ๋‹ค. ์…‹์งธ, ๋†€์ดํ„ฐ์™€ ๊ฒฝ๋กœ๋‹น, ๊ณต์› ๋“ฑ์˜ ๊ณ„ํš๊ณต๊ฐ„์€ ์ž๋…€์–‘์œก๊ธฐ์™€ ์ž๋…€์ง„์ˆ˜๊ธฐ ์—ฌ์„ฑ๋“ค์ด ๋‹จ์ง€ ๋ฐ ๋™๋„ค์—์„œ ์ด์›ƒ๊ณผ ๊ต๋ฅ˜๋ฅผ ํ•˜๋Š” ๋ฐ์— ์ฃผ์š”ํ•œ ์žฅ์†Œ์—ญํ• ์„ ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ๋‹ค. ์ด๋“ค ๊ณต๊ฐ„๋“ค์€ ๋„์‹œ๋ฏผ์ด ์ฃผ๊ฑฐ์ง€์—์„œ ์‚ฌํšŒ์ƒํ™œ์„ ์˜์œ„ํ•˜๋Š” ๋ฐ์— ๊ธฐ๋ณธ์ ์œผ๋กœ ์š”๊ตฌ๋˜๋Š” ์‹œ์„ค๋กœ์จ ๋„๋ณด๊ถŒ ๋‚ด์˜ ๊ธฐ์ดˆ์ƒํ™œ๊ถŒ ๋‚ด์— ๊ธฐ๋ณธ์ ์œผ๋กœ ์š”๊ตฌ๋˜๋Š” ์‹œ์„ค๋กœ ํŒ๋‹จ๋œ๋‹ค. ํ•˜์ง€๋งŒ ํ˜„์žฌ ๊ธฐ์„ฑ์‹œ๊ฐ€์ง€์—๋Š” ์ด๋Ÿฌํ•œ ์‹œ์„ค์— ๋Œ€ํ•œ ๊ณต๊ธ‰๊ธฐ์ค€์ด ๋ฏธํกํ•˜๊ธฐ ๋•Œ๋ฌธ์—, ๋„์‹œ์ƒํ™œ์—์„œ ๊ธฐ๋ณธ์ ์ธ ์‚ฌํšŒ์ƒํ™œ์„ ์˜์œ„ํ•˜๋Š” ๋ฐ ํ•„์š”ํ•œ ๊ณต๊ฐ„์— ๊ด€ํ•œ ์š”๊ตฌ๋กœ์จ ์‹œ๋นŒ๋ฏธ๋‹ˆ๋ฉˆ(Civil minimum)์— ๋Œ€ํ•œ ๊ณต๊ธ‰๊ธฐ์ค€์„ค์ •๊ณผ ํ•จ๊ป˜ ๊ณต๊ธ‰์ด ํ•„์š”ํ•˜๋‹ค. ๋„ท์งธ, ๊ฐ€๊ตฌํ˜•์„ฑ๊ธฐ์™€ ์ž๋…€์ง„์ˆ˜๊ธฐ ์—ฌ์„ฑ์˜ ๊ฒฝ์šฐ ์ฃผ๋กœ ๋‹จ์ง€ ๋ฐ ๋™๋„ค ๋‚ด๋ถ€์˜ ์ฃผ๊ฑฐ์ง€์—์„œ ํŠน๋ณ„ํ•œ ๊ณ„๊ธฐ ์—†์ด ์ž์ฃผ ๋งˆ์ฃผ์นจ์— ์˜ํ•ด ์ด์›ƒ๊ด€๊ณ„๋ฅผ ํ˜•์„ฑํ•˜๋Š” ๋น„์ค‘์ด ๋†’๊ฒŒ ๋ถ„์„๋˜์—ˆ๋‹ค. ๊ณ„ํš์  ์ธก๋ฉด์—์„œ๋Š” ์ด๋Ÿฌํ•œ ์šฐ์—ฐํ•œ ๋งŒ๋‚จ์„ ํ†ตํ•ด ์ ‘์ด‰์˜ ๊ธฐํšŒ๋ฅผ ๋Š˜๋ฆฌ๊ณ  ์ด์›ƒ๊ด€๊ณ„๋ฅผ ํ˜•์„ฑํ•˜๋Š” ๊ฒƒ์€ ์ฃผ๊ฑฐ์ง€์—์„œ์˜ ๊ณต๋™์ฒด ํ™œ์„ฑํ™”์˜ ๊ฐ€๋Šฅ์„ฑ์„ ์ œ๊ณ ์‹œํ‚ค๋Š” ํšจ๊ณผ์ ์ธ ๋ฐฉ๋ฒ•์ด ๋  ๊ฒƒ์ด๋‹ค. ํ–ฅํ›„ ์ธ๊ตฌ์˜ ๊ณ ๋ นํ™”์™€ ์ €์ถœ์‚ฐ ์‚ฌํšŒ๋กœ์˜ ์ „ํ™˜์€ ์ž๋…€๋ฅผ ๊ณ„๊ธฐ๋กœ ์ด์›ƒ๊ด€๊ณ„๋ฅผ ๋งบ๋Š” ์ƒ์• ์ฃผ๊ธฐ๋‹จ๊ณ„์˜ ๋น„์œจ์€ ์ถ•์†Œ๋˜๊ณ , ์ž๋…€์ง„์ˆ˜๊ธฐ์— ์†ํ•˜๋Š” ์ƒ์• ์ฃผ๊ธฐ๋‹จ๊ณ„๋Š” ํ™•๋Œ€๋  ๊ฒƒ์œผ๋กœ ์˜ˆ์ƒ๋œ๋‹ค. ๋”ฐ๋ผ์„œ ์ด๋“ค์˜ ์ด์›ƒ๊ด€๊ณ„ ํ˜•์„ฑ์„ ๋…๋ คํ•˜๊ธฐ ์œ„ํ•œ ์ฃผ๊ฑฐ๊ณต๊ฐ„์— ๋Œ€ํ•œ ๊ณ„ํš์—์„œ๋Š” ๋‹จ์ง€ ๋ฐ ๋™๋„ค ๋‚ด๋ถ€์—์„œ ์šฐ์—ฐํ•˜๊ณ  ์žฆ์€ ์‹œ๊ฐ์  ์ ‘์ด‰์„ ์œ ๋ฐœํ•˜์—ฌ ์ƒํ˜ธ์ž‘์šฉ์˜ ๊ธฐํšŒ๋ฅผ ๋งŒ๋“ค ์ˆ˜ ์žˆ๋„๋ก ์ฃผ๋ฏผ๋“ค์˜ ์ƒํ™œ๋™์„ ์„ ๊ณ ๋ คํ•ด์•ผ ํ•  ๊ฒƒ์ด๋‹ค. ์ฃผ๋กœ ๋ฐ˜์‚ฌ์ ๋ฐ˜๊ณต์  ๊ณต๊ฐ„์—์„œ ์ด์›ƒ๊ต๋ฅ˜๋ฅผ ํ•˜๋Š” ๊ฐ€๊ตฌํ˜•์„ฑ๊ธฐ๋ฅผ ๊ณ ๋ คํ•˜์—ฌ ๊ณจ๋ชฉ, ๋ณต๋„, ์—˜๋ฆฌ๋ฒ ์ดํ„ฐ ๋“ฑ ์ž์‹ ์˜ ์ฃผํƒ์œผ๋กœ ์ถœ์ž…ํ•˜๋Š” ๊ณผ์ •์—์„œ ํ•ด๋‹น ๊ณต๊ฐ„์„ ๊ณต์œ ํ•˜๋Š” ์ฃผ๋ฏผ๋“ค๊ณผ์˜ ์ ‘์ด‰์˜ ๊ธฐํšŒ๋ฅผ ๋Š˜๋ ค์ฃผ๋Š” ์ฃผ๊ฑฐ์ง€ ๊ณ„ํš์ด ํ•„์š”ํ•˜๋‹ค. ๋˜ํ•œ ์ž๋…€์ง„์ˆ˜๊ธฐ์˜ ์ด์›ƒ๊ต๋ฅ˜๋ฅผ ๋…๋ คํ•˜๊ธฐ ์œ„ํ•ด, ์ฃผ๊ฑฐ์ง€์—์„œ ์ด์›ƒ๊ณผ์˜ ์šฐ์—ฐํ•œ ๋งŒ๋‚จ์„ ์ด‰์ง„์‹œํ‚ฌ ์ˆ˜ ์žˆ๋Š” ๋„๋ณด๊ถŒ์˜ ์ปค๋ฎค๋‹ˆํ‹ฐ ๊ณต๊ฐ„์˜ ๊ณต๊ธ‰๊ณผ ๋ฐฐ์น˜๊ฐ€ ํ•„์š”ํ•˜๋‹ค. ์ œ 1 ์žฅ ์„œ ๋ก  1 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ์˜ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  1 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ์˜ ๊ตฌ์„ฑ ๋ฐ ๋ฐฉ๋ฒ• 3 ์ œ 2 ์žฅ ์ด๋ก  ๋ฐ ์„ ํ–‰์—ฐ๊ตฌ 6 ์ œ 1 ์ ˆ ๊ณต๋™์ฒด์˜ ๊ฐœ๋…๊ณผ ๋ณ€ํ™” 6 1. ๊ณต๋™์ฒด์˜ ๊ฐœ๋… 6 2. ๊ณต๋™์ฒด์˜ ์œ ํ˜• ๋ณ€ํ™” 8 3. ๊ณต๋™์ฒด ํ˜•์„ฑ์˜ ๋™๊ธฐ 12 ์ œ 2 ์ ˆ ์ด์›ƒ๊ด€๊ณ„์˜ ๊ฐœ๋…๊ณผ ์ธก์ • 14 1. ์ด์›ƒ๊ด€๊ณ„์˜ ๊ฐœ๋… 14 2. ์ด์›ƒ๊ด€๊ณ„์˜ ์ธก์ • 18 3. ์ด์›ƒ๊ด€๊ณ„์˜ ๊ณต๊ฐ„์  ๋ฒ”์œ„ 20 ์ œ 3 ์ ˆ ์ด์›ƒ๊ด€๊ณ„ ํ˜•์„ฑ์˜ ์˜ํ–ฅ ์š”์ธ 23 1. ์ธ๊ตฌ์‚ฌํšŒํ•™์  ์š”์ธ 23 2. ์ƒ์• ์ฃผ๊ธฐ๋‹จ๊ณ„ 25 1) ์ƒ์• ์ฃผ๊ธฐ๋‹จ๊ณ„์˜ ๊ฐœ๋…๊ณผ ๊ตฌ๋ถ„ 25 2) ์ƒ์• ์ฃผ๊ธฐ๋‹จ๊ณ„์™€ ์ด์›ƒ๊ด€๊ณ„ 28 3. ๋ฌผ๋ฆฌ์  ๊ทผ์ ‘์„ฑ 31 1) ์ผ์ƒ์—์„œ์˜ ์ƒํ˜ธ์ž‘์šฉ, ๋งˆ์ฃผ์นจ 31 2) ๋ฌผ๋ฆฌ์  ํŠน์„ฑ 33 4. ๊ฑฐ์ฃผํŠน์„ฑ 36 5. ๊ต๋ฅ˜๊ณต๊ฐ„ 37 ์ œ 4 ์ ˆ ์†Œ ๊ฒฐ 43 ์ œ 3 ์žฅ ๋ถ„์„ํ‹€๊ณผ ์กฐ์‚ฌ๋ฐฉ๋ฒ• 45 ์ œ 1 ์ ˆ ๋ถ„์„์ž๋ฃŒ 45 ์ œ 2 ์ ˆ ๋Œ€์ƒ์ง€ ์„ ์ • ๋ฐ ๊ฐœ์š” 48 ์ œ 3 ์ ˆ ์กฐ์‚ฌ๋ฐฉ๋ฒ• ๋ฐ ๋‚ด์šฉ 51 1. ๊ฐœ๋ณ„๋ฉด๋‹ด์กฐ์‚ฌ 52 2. ์„ค๋ฌธ์กฐ์‚ฌ 55 ์ œ 4 ์ ˆ ์‘๋‹ต์ž ํ˜„ํ™ฉ 56 ์ œ 4 ์žฅ ์ด์›ƒ๊ด€๊ณ„์˜ ์ค‘์š”๋„์™€ ๊ด€๊ณ„ํ˜•์„ฑ ์š”์ธ 60 ์ œ 1 ์ ˆ ์ด์›ƒ๊ด€๊ณ„์˜ ์ค‘์š”๋„ 60 1. ์‘๋‹ต์ž์˜ ์‚ฌํšŒ๊ด€๊ณ„ 60 2. ์ด์›ƒ๊ด€๊ณ„์˜ ์ค‘์š”๋„ ์ฐจ์ด 61 1) ์„ฑ๋ณ„์— ๋”ฐ๋ฅธ ์ค‘์š”๋„ ์ฐจ์ด 61 2) ์ƒ์• ์ฃผ๊ธฐ๋‹จ๊ณ„์— ๋”ฐ๋ฅธ ์ค‘์š”๋„ ์ฐจ์ด 63 3. ์ด์›ƒ๊ด€๊ณ„์˜ ์ค‘์š”๋„์— ๋Œ€ํ•œ ์˜ํ–ฅ์š”์ธ 65 ์ œ 2 ์ ˆ ์ด์›ƒ๊ด€๊ณ„ ํ˜•์„ฑ์š”์ธ 74 1. ์ƒ์• ์ฃผ๊ธฐ๋‹จ๊ณ„๋ณ„ ๊ด€๊ณ„ํ˜•์„ฑ ๊ณ„๊ธฐ 74 2. ์ด์›ƒ๊ด€๊ณ„์˜ ํ•„์š”์„ฑ ์ธ์‹๊ณผ ๊ธฐ๋Šฅ 77 1) ์ด์›ƒ๊ด€๊ณ„์˜ ํ•„์š”์„ฑ์— ๋Œ€ํ•œ ์ธ์‹ 77 2) ๊ด€๊ณ„์˜ ๊ธฐ๋Šฅ๊ณผ ์˜์‹์  ํ–‰๋™ 79 ์ œ 3 ์ ˆ ์†Œ ๊ฒฐ 86 ์ œ 5 ์žฅ ์ด์›ƒ๊ด€๊ณ„์˜ ๊ณต๊ฐ„์  ํŠน์„ฑ 90 ์ œ 1 ์ ˆ ์ด์›ƒ๊ด€๊ณ„์˜ ๊ณต๊ฐ„์  ๋ฒ”์œ„ 90 1. ์ƒ์• ์ฃผ๊ธฐ๋‹จ๊ณ„์— ๋”ฐ๋ฅธ ์ด์›ƒ๊ด€๊ณ„์˜ ๊ณต๊ฐ„๋ฒ”์œ„ 90 1) ์ด์›ƒ์˜ ๊ฑฐ์ฃผ์ง€ ๋ถ„ํฌ 90 2) ์ด์›ƒ๊ณผ ๋™๋„ค์˜ ๊ณต๊ฐ„์  ๋ฒ”์œ„์˜ ์ธ์‹ 94 2. ๋‹จ์ง€ ๋ฐ ๋™๋„ค ๋ฐ– ์ด์›ƒ๊ด€๊ณ„ ํ˜•์„ฑ์˜ ์˜ํ–ฅ์š”์ธ 99 ์ œ 2 ์ ˆ ๊ต๋ฅ˜๊ณต๊ฐ„์˜ ํŠน์„ฑ 102 1. ๊ณ„ํš๊ณต๊ฐ„๊ณผ ๋น„๊ณ„ํš๊ณต๊ฐ„์˜ ์ด์šฉ 102 2. ์ƒ์• ์ฃผ๊ธฐ๋‹จ๊ณ„๋ณ„ ๊ต๋ฅ˜๊ณต๊ฐ„ 104 1) ์ƒ์• ์ฃผ๊ธฐ๋‹จ๊ณ„์— ๋”ฐ๋ฅธ ๊ต๋ฅ˜๊ณต๊ฐ„์˜ ๋ถ„ํฌ 104 2) ๊ต๋ฅ˜๊ณต๊ฐ„ ์„ ํ˜ธ์˜ ์ด์œ  106 3) ์‚ฌ์ด๋ฒ„๊ณต๊ฐ„์˜ ์ด์šฉ๊ณผ ์ด์›ƒ๊ต๋ฅ˜์˜ ๊ด€๊ณ„ 110 ์ œ 3 ์ ˆ ์†Œ ๊ฒฐ 115 ์ œ 6 ์žฅ ๊ฒฐ ๋ก  119 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ 119 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ์˜ ์‹œ์‚ฌ์  122 1. ์‹œ์‚ฌ์  122 2. ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„ 124 ์ฐธ๊ณ ๋ฌธํ—Œ 126 ๋‹ค์„ธ๋Œ€๋‹ค๊ฐ€๊ตฌ ๊ฑฐ์ฃผ์ž์šฉ ์„ค๋ฌธ์ง€ 138 ์•„ํŒŒํŠธ ๊ฑฐ์ฃผ์ž์šฉ ์„ค๋ฌธ์ง€ 141 ์ƒ์• ์ฃผ๊ธฐ๋‹จ๊ณ„๋ณ„ ์—ฌ์„ฑ์˜ ์‚ฌํšŒ๊ด€๊ณ„ ๋น„์ค‘์˜ ํ‰๊ท ์ˆœ์œ„ 144 ๋ณ€์ˆ˜๊ฐ„ ์ƒ๊ด€๊ด€๊ณ„ 145 ๊ณต์„ ์„ฑ ํ†ต๊ณ„๋Ÿ‰ 146 ์†Œ๋“์— ๋”ฐ๋ฅธ ์‚ฌํšŒ๊ด€๊ณ„์˜ ๊ทœ๋ชจ์™€ ๋น„์ค‘์˜ ํ‰๊ท ์ฐจ์ด 146 ์ง€์—ญ๋ณ„ ํ•™๋ ฅ ๋ฐ ์†Œ๋“์ˆ˜์ค€ ์ฐจ์ด 147 ์ด์›ƒ์†์„ฑ ์ž๋ฃŒ์˜ ๊ตฌ์„ฑ 147 ์ฃผํƒ์œ ํ˜•๋ณ„ ์ด์›ƒ์˜ ๊ฑฐ์ฃผ์ง€ ๋ถ„ํฌ 148 ์ด์›ƒ๊ด€๊ณ„ ํ˜•์„ฑ์— ๋Œ€ํ•œ ์ง์—…, ์ด์›ƒ๊ณผ์˜ ๊ฑฐ๋ฆฌ, ์ฃผํƒ์œ ํ˜•, ์†Œ๋“์ˆ˜์ค€์˜ ์˜ํ–ฅ 148 ์ฃผํƒ์œ ํ˜•๋ณ„ ๊ต๋ฅ˜์žฅ์†Œ 149 ์ƒ์• ์ฃผ๊ธฐ๋‹จ๊ณ„๋ณ„ ๊ต๋ฅ˜๊ณต๊ฐ„ 150Docto

    ํ˜•์งˆ์ „ํ™˜๋œ ๋‹ด๋ฐฐ์—์„œ ๋ฐฐ์ถ” zinc figer protein ์œ ์ „์ž์˜ ๋ฐœํ˜„์–‘์ƒ

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    Thesis (master`s)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๋ถ„์ž์ƒ๋ฌผํ•™๊ณผ,1997.Maste
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