67 research outputs found

    ๊ตญ๊ฐ€GIS ์ค‘์žฅ๊ธฐ ์ •์ฑ…๋ฐฉํ–ฅ ์—ฐ๊ตฌ(Vision and policy issues for national geographic information system in Korea)

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

    ์šฐ๋ฆฌ ๊ตญํ† ์˜ ๋‚˜์•„๊ฐˆ ๊ธธ

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

    ์ •๋ถ€์ง€์› ์ฃผํƒ์ž๊ธˆ ๋Œ€์ถœ์˜ ์ •์ฑ… ํšจ๊ณผ์„ฑ ํ‰๊ฐ€

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :ํ–‰์ •๋Œ€ํ•™์› ํ–‰์ •ํ•™๊ณผ(์ •์ฑ…ํ•™์ „๊ณต),2019. 8. ๊น€์ค€๊ธฐ.The purpose of this study is to evaluate the policy effectiveness of the government - funded housing loan, which is one of the consumer - centered housing support policies of the government. The housing problem has long been regarded as one of the problems that must be solved. In addition, due to the widening income polarization, the burden of the housing cost of the common people is getting bigger. The housing supply rate is already 101.9% in 2018 and need for consumer-centered housing policy became even higher. In addition, since the scope of the government funded housing loan is broader than the housing benefit, this study focuses on the government funded housing loan. ย ย  This study examined the relationship between the government - sponsored housing loan policy and housing satisfaction based on 2017 Korea Housing Survey micro data and 2008 ~ 2017 National Survey of Tax and Benefit. 2017 Korea Housing Survey has the advantage that the residential data is more abundant than 2008 ~ 2017 National Survey of Tax and Benefit, but it has a disadvantage that the time series trend can not be known. Therefore, we tried to use microdata of 2017 Korea Housing Survey and 2008 ~ 2017 National Survey of Tax and Benefit together. Multiple regression analysis and fixed- effects panel regression analysis were conducted for 2017 Korea Housing Survey and the data of 2008 ~ 2017 National Survey of Tax and Benefit. The results of this study are as follows: First, regional, household income, residential area, type of occupation, occupancy type and existence of government funded housing loan have a statistically significant effect on residential satisfaction. The results of the 2017 Korea Housing Survey and 2008 ~ 2017 National Survey of Tax and Benefit showed that the government funded housing loans affect to the housing satisfaction indirectly through occupancy type, residential area, the household expenditure and the residence of the apartment. In other words, the government-funded housing loan is meaningful to increase the satisfaction of the residents by acting as a medium that enables the house buyer to own a wider apartment.๋ณธ ์—ฐ๊ตฌ๋Š” ์ •๋ถ€์˜ ์ˆ˜์š”์ž ์ค‘์‹ฌ ์ฃผ๊ฑฐ ์ง€์› ์ •์ฑ… ์ค‘ ํ•˜๋‚˜์ธ ์ •๋ถ€์ง€์› ์ฃผํƒ์ž๊ธˆ ๋Œ€์ถœ์˜ ์ •์ฑ… ํšจ๊ณผ์„ฑ์„ ํ‰๊ฐ€ํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ์ฃผ๊ฑฐ ๋ฌธ์ œ๋Š” ์˜ค๋žซ๋™์•ˆ ์—ญ๋Œ€ ์ •๋ถ€์—์„œ ๋ฐ˜๋“œ์‹œ ํ•ด๊ฒฐํ•ด์•ผ ํ•˜๋Š” ๋ฌธ์ œ ์ค‘ ํ•˜๋‚˜๋กœ ๊ผฝํ˜€ ์™”๋‹ค. ๊ฒŒ๋‹ค๊ฐ€ ์†Œ๋“ ์–‘๊ทนํ™”์˜ ์‹ฌํ™”๋กœ ์ธํ•˜์—ฌ ์„œ๋ฏผ๋“ค์˜ ์ฃผ๊ฑฐ๋น„ ๋ถ€๋‹ด์ด ์ปค์ ธ๊ฐ€๊ณ  ์ฃผํƒ๋ณด๊ธ‰๋ฅ ์€ 2018๋…„ 101.9%๋ฅผ ๊ธฐ๋กํ•˜๋ฉด์„œ ๊ณต๊ณต์ž„๋Œ€์ฃผํƒ ๊ณต๊ธ‰ ๋“ฑ ๊ณต๊ธ‰ ์œ„์ฃผ์˜ ์ฃผ๊ฑฐ ์ง€์› ์ •์ฑ…๋ณด๋‹ค๋Š” ์ฃผ๊ฑฐ๊ธ‰์—ฌ, ์ •๋ถ€์ง€์› ์ฃผํƒ์ž๊ธˆ ๋Œ€์ถœ ๋“ฑ ์ˆ˜์š” ์œ„์ฃผ์˜ ์ฃผ๊ฑฐ ์ง€์› ์ •์ฑ…์— ๋Œ€ํ•œ ํ•„์š”์„ฑ์ด ๋” ๋†’์•„์ ธ๊ฐ”๋‹ค. ๋˜ํ•œ ์ฃผ๊ฑฐ๊ธ‰์—ฌ์— ๋น„ํ•˜์—ฌ ์ •๋ถ€์ง€์› ์ฃผํƒ์ž๊ธˆ ๋Œ€์ถœ์˜ ์ •์ฑ… ๋Œ€์ƒ ๋ฒ”์œ„๊ฐ€ ๋” ๋„“๊ธฐ ๋•Œ๋ฌธ์— ๋ณธ ์—ฐ๊ตฌ์—๋Š” ์ •๋ถ€์ง€์› ์ฃผํƒ์ž๊ธˆ ๋Œ€์ถœ์— ๋Œ€ํ•ด์„œ ์ค‘์ ์ ์œผ๋กœ ๋‹ค๋ฃจ๊ธฐ๋กœ ํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” 2017๋…„ ์ฃผ๊ฑฐ์‹คํƒœ์กฐ์‚ฌ ๋งˆ์ดํฌ๋กœ ๋ฐ์ดํ„ฐ์™€ 2008๋…„~2017๋…„ ์žฌ์ •ํŒจ๋„์กฐ์‚ฌ ๋ฐ์ดํ„ฐ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์ •๋ถ€์ง€์› ์ฃผํƒ์ž๊ธˆ ๋Œ€์ถœ ์ •์ฑ…๊ณผ ์ฃผ๊ฑฐ๋งŒ์กฑ๋„์˜ ๊ด€๊ณ„๋ฅผ ์‚ดํŽด๋ณด์•˜๋‹ค. 2017 ์ฃผ๊ฑฐ์‹คํƒœ์กฐ์‚ฌ๋Š” ์žฌ์ •ํŒจ๋„์กฐ์‚ฌ ๋ฐ์ดํ„ฐ๋ณด๋‹ค ์ฃผ๊ฑฐ์™€ ๊ด€๋ จ๋œ ๋ฐ์ดํ„ฐ๊ฐ€ ๋” ํ’๋ถ€ํ•˜๋‹ค๋Š” ์žฅ์ ์ด ์žˆ์ง€๋งŒ ์‹œ๊ณ„์—ด์ ์ธ ์ถ”์„ธ๋ฅผ ์•Œ ์ˆ˜ ์—†๋‹ค๋Š” ๋‹จ์ ์ด ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ ๋‹จ๋…„๋„์ ์ธ ์ฃผ๊ฑฐ์‹คํƒœ์กฐ์‚ฌ ๋งˆ์ดํฌ๋กœ ๋ฐ์ดํ„ฐ์™€ ๋‹ค๋…„๋„์ ์ธ ์žฌ์ •ํŒจ๋„์กฐ์‚ฌ ๋ฐ์ดํ„ฐ๋ฅผ ํ•จ๊ป˜ ํ™œ์šฉํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. 2017๋…„ ์ฃผ๊ฑฐ์‹คํƒœ์กฐ์‚ฌ ๋ฐ์ดํ„ฐ๋ฅผ ๋Œ€์ƒ์œผ๋กœ๋Š” ๋‹ค์ค‘ํšŒ๊ท€๋ถ„์„์„, 2008๋…„~2017๋…„ ์žฌ์ •ํŒจ๋„์กฐ์‚ฌ ๋ฐ์ดํ„ฐ๋ฅผ ๋Œ€์ƒ์œผ๋กœ๋Š” ๊ณ ์ •ํšจ๊ณผ ํŒจ๋„ํšŒ๊ท€๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ, ๊ฑฐ์ฃผ ์ง€์—ญ, ๊ฐ€๊ตฌ ์†Œ๋“, ์ฃผ๊ฑฐ๋ฉด์ , ์ฃผํƒํ˜•ํƒœ, ์ ์œ ํ˜•ํƒœ ๊ทธ๋ฆฌ๊ณ  ์ •๋ถ€์ง€์› ์ฃผํƒ์ž๊ธˆ ๋Œ€์ถœ ์œ ๋ฌด ๋“ฑ์ด ์ฃผ๊ฑฐ๋งŒ์กฑ๋„์— ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜๋ฏธํ•˜๊ฒŒ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. 2017๋…„ ์ฃผ๊ฑฐ์‹คํƒœ์กฐ์‚ฌ ๋ถ„์„๊ณผ ์žฌ์ •ํŒจ๋„์กฐ์‚ฌ ๋ฐ์ดํ„ฐ ๋ถ„์„ ๊ฒฐ๊ณผ์—์„œ, ๋Œ€์ฒด๋กœ ์ˆ˜๋„๊ถŒ ์ง€์—ญ์— ๊ฑฐ์ฃผํ• ์ˆ˜๋ก ์ฃผ๊ฑฐ๋งŒ์กฑ๋„๊ฐ€ ๋†’์•˜์œผ๋ฉฐ, ๊ฐ€๊ตฌ ์†Œ๋“๊ณผ ์ฃผ๊ฑฐ ๋ฉด์ ์ด ํด์ˆ˜๋ก ์ฃผ๊ฑฐ๋งŒ์กฑ๋„๊ฐ€ ๋†’์•˜๋‹ค. ๋‹ค๋งŒ ์ •๋ถ€์ง€์› ์ฃผํƒ์ž๊ธˆ ๋Œ€์ถœ ์œ ๋ฌด์˜ ๊ฒฝ์šฐ ์ฃผ๊ฑฐ ๋ฉด์ , ๊ฐ€๊ตฌ ์ง€์ถœ, ์•„ํŒŒํŠธ ๊ฑฐ์ฃผ ์—ฌ๋ถ€, ์ž๊ฐ€ ๋ณด์œ  ์—ฌ๋ถ€ ๋“ฑ์„ ๋งค๊ฐœ๋ณ€์ˆ˜๋กœ ํ•˜์—ฌ ๊ฐ„์ ‘์ ์œผ๋กœ๋งŒ ์ฃผ๊ฑฐ๋งŒ์กฑ๋„์— ์˜ํ–ฅ์„ ๋ผ์ณค๋‹ค. ์ฆ‰, ์ •๋ถ€์ง€์› ์ฃผํƒ์ž๊ธˆ ๋Œ€์ถœ์€ ์ฃผํƒ ์ˆ˜์š”์ž๊ฐ€ ๋” ๋„“์€ ์•„ํŒŒํŠธ๋ฅผ ์ž์‹ ์ด ๋ณด์œ ํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•˜๋Š” ๋งค๊ฐœ์ฒด๋กœ ์ž‘์šฉํ•จ์œผ๋กœ์จ ์ฃผ๊ฑฐ๋งŒ์กฑ๋„๊ฐ€ ๋†’์•„์ง€๋„๋ก ํ•˜๋Š” ์˜์˜๊ฐ€ ์žˆ๋Š” ๊ฒƒ์ด๋‹ค.๋ชฉ ์ฐจ ์ œ 1 ์žฅ ์„œ๋ก  1 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ์˜ ๋ชฉ์  ๋ฐ ํ•„์š”์„ฑ 1 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ์˜ ๋Œ€์ƒ๊ณผ ๋ฒ”์œ„ 3 ์ œ 2 ์žฅ ์ด๋ก ์  ๋…ผ์˜์™€ ์„ ํ–‰์—ฐ๊ตฌ ๊ฒ€ํ†  4 ์ œ 1 ์ ˆ ์ฃผ์š” ๊ฐœ๋…์— ๋Œ€ํ•œ ์ด๋ก ์  ๋…ผ์˜ 4 1. ์ฃผ๊ฑฐ๊ถŒ๊ณผ ์ฃผ๊ฑฐ ๋ณต์ง€์— ๋Œ€ํ•œ ์ด๋ก ์  ๋…ผ์˜ 4 2. ์ •๋ถ€์ง€์› ์ฃผํƒ์ž๊ธˆ ๋Œ€์ถœ ์ •์ฑ…์˜ ๋Œ€์ƒ์œผ๋กœ์„œ ์„œ๋ฏผ 7 3. ์ฃผํƒ๊ธˆ์œต์˜ ๊ฐœ๋… ๋ฐ ์œ ํ˜• 8 ์ œ 2 ์ ˆ ์ •๋ถ€์ง€์› ์ฃผํƒ์ž๊ธˆ ์ œ๋„์˜ ์—ญ์‚ฌ์™€ ํ˜„ํ™ฉ 11 1. ์ •๋ถ€์ง€์› ์ฃผํƒ์ž๊ธˆ ์ œ๋„์˜ ์—ญ์‚ฌ 11 2. ์ฃผ๊ฑฐ์‹คํƒœ ๋ฐ ์ •๋ถ€์ง€์› ์ฃผํƒ์ž๊ธˆ ์ œ๋„์˜ ํ˜„ํ™ฉ 13 ์ œ 3 ์ ˆ ์—ฐ๊ตฌ๋ชฉ์ ๊ณผ ๊ด€๋ จ๋œ ์„ ํ–‰์—ฐ๊ตฌ ๊ฒ€ํ†  19 1. ์ฃผ๊ฑฐ ๋งŒ์กฑ๋„์— ๋Œ€ํ•œ ์„ ํ–‰์—ฐ๊ตฌ ๊ฒ€ํ†  19 2. ์ •๋ถ€์ง€์› ์ฃผํƒ์ž๊ธˆ์˜ ํšจ๊ณผ์„ฑ์— ๋Œ€ํ•œ ์„ ํ–‰์—ฐ๊ตฌ ๊ฒ€ํ†  24 3. ๋ฐ”๋žŒ์งํ•œ ์ฃผํƒ ์ •์ฑ… ๋ฐฉํ–ฅ์— ๋Œ€ํ•œ ์„ ํ–‰์—ฐ๊ตฌ ๊ฒ€ํ†  25 ์ œ 3 ์žฅ ์—ฐ๊ตฌ์„ค๊ณ„ ๋ฐ ๋ถ„์„๋ฐฉ๋ฒ• 27 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ๋ฌธ์ œ, ์—ฐ๊ตฌ๊ฐ€์„ค ๋ฐ ์—ฐ๊ตฌ๋ฐฉ๋ฒ•๋ก  27 1. ์—ฐ๊ตฌ๋ฌธ์ œ ๋ฐ ์—ฐ๊ตฌ๊ฐ€์„ค 27 2. ์—ฐ๊ตฌ ๋ชจํ˜• ๋ฐ ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•๋ก  29 ์ œ 2 ์ ˆ ๋ณ€์ˆ˜์˜ ์ •์˜ ๋ฐ ์ธก์ • 32 1. ์ข…์†๋ณ€์ˆ˜ 32 2. ๋…๋ฆฝ๋ณ€์ˆ˜ 33 3. ํ†ต์ œ๋ณ€์ˆ˜ 34 4. ๋งค๊ฐœ๋ณ€์ˆ˜ 34 5. ์—ฐ๊ตฌ์˜ ๋ถ„์„ํ‹€ 36 ์ œ 4 ์žฅ ์‹ค์ฆ๋ถ„์„ ๊ฒฐ๊ณผ 37 ์ œ 1 ์ ˆ ๊ธฐ์ˆ ํ†ต๊ณ„๋ถ„์„ 37 1. 2017 ์ฃผ๊ฑฐ์‹คํƒœ์กฐ์‚ฌ 37 2. ์žฌ์ •ํŒจ๋„์กฐ์‚ฌ 44 ์ œ 2 ์ ˆ 2017 ์ฃผ๊ฑฐ์‹คํƒœ์กฐ์‚ฌ ํ†ต๊ณ„๋ถ„์„ 46 1. ์ „์ฒด ๊ฐ€๊ตฌ๋ฅผ ๋Œ€์ƒ์œผ๋กœ ํ•œ ๋‹ค์ค‘ํšŒ๊ท€๋ถ„์„ ๊ฒฐ๊ณผ 46 2. ์ ์œ  ํ˜•ํƒœ๋ณ„ ๋‹ค์ค‘ํšŒ๊ท€๋ถ„์„ ๊ฒฐ๊ณผ 54 ์ œ 3 ์ ˆ ์žฌ์ •ํŒจ๋„์กฐ์‚ฌ ํ†ต๊ณ„๋ถ„์„ 60 1. ์ „์ฒด ๊ฐ€๊ตฌ๋ฅผ ๋Œ€์ƒ์œผ๋กœ ํ•œ ๊ณ ์ •ํšจ๊ณผ ํŒจ๋„ํšŒ๊ท€๋ถ„์„ ๊ฒฐ๊ณผ 60 2. ์ ์œ  ํ˜•ํƒœ๋ณ„ ๊ณ ์ •ํšจ๊ณผ ํŒจ๋„ํšŒ๊ท€๋ถ„์„ ๊ฒฐ๊ณผ 64 ์ œ 4 ์ ˆ ์‹ค์ฆ๋ถ„์„ ๊ฒฐ๊ณผ ์š”์•ฝ 67 ์ œ 5 ์žฅ ๊ฒฐ๋ก  71 ์ฐธ๊ณ ๋ฌธํ—Œ 73 Abstract 79Maste

    ๊ตญํ† ์ด์šฉ๋ชจ๋‹ˆํ„ฐ๋ง์ฒด๊ณ„ ๊ตฌ์ถ•๋ฐฉ์•ˆ ์—ฐ๊ตฌ(Method and strategies for constructing land use monitoring system)

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

    ๋„๋กœ์™€ ๋„์‹œ์ฒ ๋„ ์ ‘๊ทผ์„ฑ์ด ์ฃผํƒ๊ฐ€๊ฒฉ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๋†์—…์ƒ๋ช…๊ณผํ•™๋Œ€ํ•™ ๋†๊ฒฝ์ œ์‚ฌํšŒํ•™๋ถ€(์ง€์—ญ์ •๋ณดํ•™์ „๊ณต), 2021.8. ๊น€์˜์ค€.This study analyzed the effect of employment centersโ€™ accessibility level on housing prices, focusing specifically on the road and urban railroad network layout in Seoul. Using 2019 housing transaction data from the city of Seoul and the cityโ€™s transportation networks to measure gravity-based accessibility, I estimated the housing price functions for three general categories of housing lot size. The analysis reveals that greater transportation network accessibility to multiple business districts positively affects housing prices, and the road and railway accessibility elasticities were 4.0146 and 0.8385, respectively. Moreover, we found that the impact of road accessibility on housing prices was larger than that of railway accessibility, regardless of housing lot size. However, the impact of railway accessibility was relatively higher for small- and medium-sized houses than for large houses, and road accessibility was a more prominent price-determining factor for large houses, which may be due to the relationship between residents' commuting preferences and the size of their residences. In addition, we found a complementary relationship between accessibility to the business district by road and railway, implying that demand for different means of commuting exists. Meanwhile, despite controlling for accessibility to the workplace, it was determined that the relationship between distance to the Gangnam business district in Seoul and housing price was significantly negative, suggesting that the Gangnam business district plays an important role in providing urban amenities. Lastly, it was predicted that house prices would change if urban railway accessibility was improved and found housing price disparities between and within five areas in Seoul based on the scenarios of different railway linesโ€™ development. Therefore, policymakers and urban planners must also consider these impacts on the housing market when developing transportation networks. Additionally, they must address different household characteristics and how they are related to different transportation mode preferences when implementing housing market policies in order to improve accessibility when developing transportation networks.๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉ์ ์€ ์„œ์šธ์˜ ๋„๋กœ๋ง๊ณผ ๋„์‹œ์ฒ ๋„๋ง์„ ์ด์šฉํ•˜์—ฌ ๋‹ค์ง€์—ญ ๊ณ ์šฉ์ง€์— ๋Œ€ํ•œ ์ ‘๊ทผ์„ฑ์ด ์ฃผํƒ๊ฐ€๊ฒฉ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๋ถ„์„ํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ์„œ์šธ์˜ 2019๋…„ โ€˜๋ถ€๋™์‚ฐ ์‹ค๊ฑฐ๋ž˜๊ฐ€ ๋ฐ์ดํ„ฐโ€™์™€ ๋„๋กœ๋ง๊ณผ ์ฒ ๋„๋ง ์ง€๋ฆฌ์ •๋ณด๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์ค‘๋ ฅ๊ธฐ๋ฐ˜ ์ ‘๊ทผ์„ฑ์„ ์ธก์ •ํ•˜๊ณ , ์ฃผํƒ๊ทœ๋ชจ๋ฅผ ์†Œํ˜•, ์ค‘ํ˜•, ๋Œ€ํ˜• 3๊ฐœ๋กœ ๋‚˜๋ˆ„์–ด ์ฃผํƒ๊ทœ๋ชจ๋ณ„ ์ฃผํƒ๊ฐ€๊ฒฉํ•จ์ˆ˜๋ฅผ ์ถ”์ •ํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ์ฃผ์š” ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ์ฃผํƒ๊ฐ€๊ฒฉ์— ๋Œ€ํ•œ ๋„๋กœ ์ ‘๊ทผ์„ฑ ํƒ„๋ ฅ์„ฑ์€ 4.0146, ์ฒ ๋„ ์ ‘๊ทผ์„ฑ ํƒ„๋ ฅ์„ฑ์€ 0.8385๋กœ, ๋‹ค์ง€์—ญ ๊ณ ์šฉ์ง€์— ๋Œ€ํ•œ ๋„์‹œ์™€ ๋„์‹œ์ฒ ๋„ ์ ‘๊ทผ์„ฑ์ด ์ฃผํƒ๊ฐ€๊ฒฉ์— ๊ธ์ •์ ์œผ๋กœ ์˜ํ–ฅ์„ ๋ฏธ์ณค๋‹ค. ์ฃผํƒ๊ทœ๋ชจ์— ๊ด€๊ณ„์—†์ด ๋„๋กœ ์ ‘๊ทผ์„ฑ์ด ๋„์‹œ์ฒ ๋„ ์ ‘๊ทผ์„ฑ๋ณด๋‹ค ์ฃผํƒ๊ฐ€๊ฒฉ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ๋ ฅ์ด ๋” ์ปธ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์†Œํ˜•์ฃผํƒ๊ณผ ์ค‘ํ˜•์ฃผํƒ์—์„œ๋Š” ๋„์‹œ์ฒ ๋„ ์ ‘๊ทผ์„ฑ์ด ์ฃผํƒ๊ฐ€๊ฒฉ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์ด ๋Œ€ํ˜• ์ฃผํƒ์— ๋น„ํ•ด ์ƒ๋Œ€์ ์œผ๋กœ ํฐ ๋ฐ˜๋ฉด์— ๋Œ€ํ˜• ์ฃผํƒ์—์„œ๋Š” ๋„๋กœ ์ ‘๊ทผ์„ฑ์ด ์ฃผํƒ๊ฐ€๊ฒฉ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์ด ๋‘๋“œ๋Ÿฌ์กŒ๋‹ค. ์ด๋Š” ์ฃผํƒ๊ทœ๋ชจ์— ๋”ฐ๋ผ ๊ฑฐ์ฃผ์ž์˜ ๊ฒฝ์ œ์  ํŠน์„ฑ์ด ์ƒ์ดํ•˜์—ฌ ๊ตํ†ต์ˆ˜๋‹จ ์„ ํ˜ธ๋„๊ฐ€ ๋‹ฌ๋ผ์ง€๊ณ , ๊ตํ†ต์ˆ˜๋‹จ์— ๋Œ€ํ•œ ๋‹ค๋ฅธ ์„ ํ˜ธ๊ฐ€ ์ฃผํƒ๊ฐ€๊ฒฉ์— ๋‹ค๋ฅด๊ฒŒ ๋ฐ˜์˜๋จ์„ ๋ณด์—ฌ์ค€๋‹ค. ๋˜ํ•œ, ๋„๋กœ์™€ ๋„์‹œ์ฒ ๋„ ์ ‘๊ทผ์„ฑ์€ ์ƒํ˜ธ๋Œ€์ฒด์  ๊ด€๊ณ„๊ฐ€ ์•„๋‹Œ ์ƒํ˜ธ๋ณด์™„์ ์ธ ๊ด€๊ณ„๋ฅผ ๊ฐ€์ง€๊ณ  ์žˆ๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์„œ์šธ์˜ 3๊ฐœ ๋„์‹ฌ ์ค‘ ๊ฐ•๋‚จ ๋„์‹ฌ๊ถŒ ๋ณ€์ˆ˜๋Š” ์ ‘๊ทผ์„ฑ ๋ณ€์ˆ˜๋ฅผ ํ†ต์ œํ•˜์˜€์Œ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ  ์Œ์˜ ๊ฐ’์œผ๋กœ ์œ ์˜ํ•˜๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋Š”๋ฐ, ์ด๋Š” ๊ฐ•๋‚จ ๋„์‹ฌ๊ถŒ์ด ์ผ์ž๋ฆฌ ์ œ๊ณต๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๋„์‹œ์˜ ํŽธ์˜์‹œ์„ค ์ œ๊ณต์— ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•˜๊ณ  ์žˆ์Œ์„ ์‹œ์‚ฌํ•œ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ, ๋„์‹œ์ฒ ๋„๋ง ์ ‘๊ทผ์„ฑ์„ ๊ฐœ์„ ํ•˜์˜€์„ ๋•Œ ์ง‘๊ฐ’์„ ์˜ˆ์ธกํ•œ ๊ฒฐ๊ณผ, ์„œ์šธ์˜ 5๊ฐœ ๊ถŒ์—ญ๊ฐ„ ๋ฐ ๊ถŒ์—ญ๋‚ด์˜ ์ฃผํƒ๊ฐ€๊ฒฉ ๊ฒฉ์ฐจ๋Š” ๊ฐœ๋ฐœ๋˜๋Š” ์ฒ ๋„ ๋…ธ์„ ์— ๋”ฐ๋ผ์„œ ๋‹ค๋ฅด๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ฒฐ๊ณผ๋ฅผ ์ข…ํ•ฉํ•œ ๋ณธ ์—ฐ๊ตฌ์˜ ์ •์ฑ…์  ํ•จ์˜๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ๊ณต๊ณต๋ถ€๋ฌธ๊ณผ ๋„์‹œ๊ณ„ํš์ž๋Š” ๊ตํ†ต๋ง์„ ๊ฐœ๋ฐœํ•  ๋•Œ, ํ•ด๋‹น ๊ตํ†ต๋ง ๊ฐœ๋ฐœ์ด ์ฃผํƒ๊ฐ€๊ฒฉ ๊ฒฉ์ฐจ ๋ฐ ์•ˆ์ •ํ™”์™€ ๊ด€๋ จํ•˜์—ฌ ์ฃผํƒ์‹œ์žฅ์— ๋ฏธ์น˜๋Š” ์ƒ์ดํ•œ ์˜ํ–ฅ์„ ๊ณ ๋ คํ•ด์•ผ ํ•œ๋‹ค. ๋”์šฑ์ด, ๊ตํ†ต๋ง ๊ฐœ๋ฐœ์— ์˜ํ•œ ์ ‘๊ทผ์„ฑ ํ–ฅ์ƒ์„ ๋ฐ”ํƒ•์œผ๋กœ ํŠน์ • ๊ณ„์ธต์˜ ์‚ฌ๋žŒ๋“ค์„ ์œ„ํ•œ ์ฃผํƒ์‹œ์žฅ ์ •์ฑ…์„ ์ถ”์ง„ํ•  ๋•Œ, ์ฃผํƒ๊ทœ๋ชจ์— ๋”ฐ๋ผ ๋‹ฌ๋ฆฌ์งˆ ์ˆ˜ ์žˆ๋Š” ๊ตํ†ต์ˆ˜๋‹จ ์„ ํ˜ธ์™€ ๊ด€๋ จ๋œ ๊ฐ€๊ตฌ๋ณ„ ํŠน์„ฑ์„ ๊ณ ๋ คํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค.Chapter 1. Introduction 1 Chapter 2. Literature Review 3 2.1. Theoretical Background 3 2.2. Empirical Studies 6 2.3. Summary 14 Chapter 3. Analysis 17 3.1. Methodology 17 3.2. Data 20 3.3. Variables 22 3.4. Results 26 3.5. Simulations 39 Chapter 4. Conclusion 44 Bibliography 47 Abstract in Korean 54์„

    ๋„๋กœ๋ถ€๋ฌธ ์žฌ์›์šด์šฉ ํšจ์œจํ™”๋ฐฉ์•ˆ

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

    ๊ตญ๋ฏผ์ž„๋Œ€์™€ ๋ฏผ๊ฐ„์ž„๋Œ€ ๋น„๊ต๋ฅผ ์ค‘์‹ฌ์œผ๋กœ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ํ–‰์ •๋Œ€ํ•™์› ๊ณต๊ธฐ์—…์ •์ฑ…ํ•™๊ณผ, 2021.8. ์ตœํƒœํ˜„.ํ•œ์ •๋œ ์ž์›์ธ ์ž„๋Œ€์ฃผํƒ์˜ ์ƒ๋‹น๋ถ€๋ถ„์„ ์‚ฌํšŒ ์—ฌ๋Ÿฌ ๊ณ„์ธต ์ค‘ ์‹ ํ˜ผ๋ถ€๋ถ€์—๊ฒŒ ํŠน๋ณ„๊ณต๊ธ‰ํ•˜๋Š” ์ œ๋„์˜ ์ทจ์ง€๋ฅผ ์‚ด๋ฆฌ๊ธฐ ์œ„ํ•ด์„œ๋Š” ๊ณต๊ณต์ž„๋Œ€์ฃผํƒ์˜ ์–‘์  ํ™•๋Œ€์— ๊ทธ์น˜์ง€ ์•Š๊ณ  ์‹ ํ˜ผ๋ถ€๋ถ€ ๊ฐ€๊ตฌ์˜ ์ฃผ๊ฑฐ๋งŒ์กฑ๋„๋ฅผ ๋†’์ž„์œผ๋กœ์จ ์‚ถ์˜ ์งˆ์„ ํ–ฅ์ƒ์‹œ์ผœ ์ œ๋„์˜ ํšจ์œจ์„ฑ์„ ๋†’์ด๋Š” ๊ฒƒ๋„ ๋งค์šฐ ์ค‘์š”ํ•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ฃผํƒ ๊ตฌ์ž… ์ž๊ธˆ์ด ๋ถ€์กฑํ•œ ์ €์†Œ๋“ ์‹ ํ˜ผ๋ถ€๋ถ€ ๊ฐ€๊ตฌ๋ฅผ ๋Œ€์ƒ์œผ๋กœ ๋ฏผ๊ฐ„์ž„๋Œ€์ฃผํƒ๊ณผ ๊ตญ๋ฏผ์ž„๋Œ€์ฃผํƒ ์ž…์ฃผ์ž์˜ ์ฃผ๊ฑฐ๋งŒ์กฑ๋„๋ฅผ ๋น„๊ตํ•ด๋ณด๊ณ  ๋ฏผ๊ฐ„์ž„๋Œ€์ฃผํƒ์— ๋น„ํ•ด ๊ตญ๋ฏผ์ž„๋Œ€์ฃผํƒ ์ž…์ฃผ์ž์˜ ๋งŒ์กฑ๋„๊ฐ€ ๋‚ฎ์€ ๋ถ€๋ถ„์„ ํŒŒ์•…ํ•˜์—ฌ ํ–ฅํ›„ ์‹ ํ˜ผ๋ถ€๋ถ€๋ฅผ ์œ„ํ•œ ์‹ ํ˜ผํฌ๋งํƒ€์šด ๋ฐ ๊ณต๊ณต์ž„๋Œ€์ฃผํƒ ๊ฑด์„ค ๊ณ„ํš ์ˆ˜๋ฆฝ ์‹œ ์ฐธ๊ณ ํ•  ์ˆ˜ ์žˆ๋Š” ๋ถ„์„๊ฒฐ๊ณผ๋ฅผ ์ œ์‹œํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ์ด๋ฅผ ์œ„ํ•˜์—ฌ ์ ์ ˆํ•œ ์ฃผ๊ฑฐ, ์šฐ๋ฆฌ๋‚˜๋ผ์˜ ์ž„๋Œ€์ฃผํƒ ์ •์ฑ…, ๊ฐ€๊ตฌํŠน์„ฑ ๋ฐ ์ฃผํƒํŠน์„ฑ์— ๋”ฐ๋ฅธ ์ฃผ๊ฑฐ๋งŒ์กฑ๋„ ๋“ฑ์— ๊ด€ํ•œ ์„ ํ–‰์—ฐ๊ตฌ๋ฅผ ๊ณ ์ฐฐํ•˜๊ณ , ๊ณ„๋Ÿ‰์  ์—ฐ๊ตฌ ๋ฐฉ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ํ†ต๊ณ„๋ถ„์„์„ ํ•˜์˜€๋‹ค. ๊ฐ€์žฅ ์ตœ๊ทผ์— ๋ฐœํ‘œ๋œ 2019๋…„๋„ ์ฃผ๊ฑฐ์‹คํƒœ์กฐ์‚ฌ(๊ตญํ† ๊ตํ†ต๋ถ€)๋ฅผ ๊ธฐ์ดˆ์ž๋ฃŒ๋กœ ํ™œ์šฉํ•˜์—ฌ, ์—ฐ๊ตฌ๋Œ€์ƒ์˜ ๊ฐ€๊ตฌํŠน์„ฑ์— ๋”ฐ๋ผ ์ฃผ๊ฑฐ๋งŒ์กฑ๋„๊ฐ€ ์–ด๋– ํ•œ ์ฐจ์ด๊ฐ€ ์žˆ๋Š”์ง€, ์ž„๋Œ€์ฃผํƒ ์œ ํ˜•๊ณผ ์ƒํ˜ธ์ž‘์šฉํšจ๊ณผ๊ฐ€ ์žˆ๋Š”์ง€๋ฅผ ์•Œ์•„๋ณด๊ณ ์ž ํšŒ๊ท€๋ถ„์„์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ๋˜ํ•œ, T๊ฒ€์ •์„ ํ†ตํ•ด ๋…๋ฆฝ๋ณ€์ˆ˜ ์ง‘๋‹จ ๊ฐ„ ์ฃผ๊ฑฐ๋งŒ์กฑ๋„ ์ฐจ์ด๋ฅผ ์•Œ์•„๋ณด์•˜๋‹ค. ๋จผ์ € ์ž„๋Œ€์ฃผํƒ ์œ ํ˜•์— ๋”ฐ๋ฅธ ์ฃผ๊ฑฐ์•ˆ์ • ๋งŒ์กฑ๋„๋Š” ๊ตญ๋ฏผ์ž„๋Œ€์ฃผํƒ์ด, ์ฃผํƒํ’ˆ์งˆ ๋งŒ์กฑ๋„๋Š” ๋ฏผ๊ฐ„์ž„๋Œ€์ฃผํƒ์ด ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜๊ฒŒ ๋†’์€ ๊ฒƒ์œผ๋กœ ๋ถ„์„๋˜์—ˆ๊ณ , ์ฃผํƒ์ž…์ง€ ๋งŒ์กฑ๋„์™€ ๋‹จ์ง€ํ™˜๊ฒฝ ๋งŒ์กฑ๋„๋Š” ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜์ง€ ์•Š์€ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋ฅผ ๊ฐ€๊ตฌํŠน์„ฑ ์ค‘์‹ฌ์œผ๋กœ ์š”์•ฝํ•ด๋ณด๋ฉด ์ฒซ์งธ, ๊ตญ๋ฏผ์ž„๋Œ€์ฃผํƒ์— ๊ฑฐ์ฃผํ•˜๋Š” ์‹ ํ˜ผ๋ถ€๋ถ€์˜ ๊ฒฝ์šฐ ๊ฐ€๊ตฌ์›์ˆ˜๊ฐ€ ๋งŽ์„์ˆ˜๋ก ์ฃผํƒ์ž…์ง€ ๋งŒ์กฑ๋„์™€ ๋‹จ์ง€ํ™˜๊ฒฝ ๋งŒ์กฑ๋„๊ฐ€ ๋†’์•„์ง€๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋‘˜์งธ, ๊ฐ€๊ตฌ์†Œ๋“์ด ๋†’์„์ˆ˜๋ก ์ฃผ๊ฑฐ์•ˆ์ • ๋งŒ์กฑ๋„๊ฐ€ ๋†’์•„์ง€์ง€๋งŒ, ๊ตญ๋ฏผ์ž„๋Œ€์ฃผํƒ์˜ ๊ฒฝ์šฐ ๊ฐ€๊ตฌ์†Œ๋“์ด ๋‚ฎ์„์ˆ˜๋ก ์ฃผ๊ฑฐ์•ˆ์ • ๋งŒ์กฑ๋„๋„ ๋†’์•„์ง€๋Š” ์ƒํ˜ธ์ž‘์šฉํšจ๊ณผ๊ฐ€ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์…‹์งธ, ๊ตญ๋ฏผ์ž„๋Œ€์ฃผํƒ์˜ ๊ฒฝ์šฐ ๊ฐ€๊ตฌ์ฃผ ์—ฐ๋ น์ด ๋‚ฎ์„์ˆ˜๋ก ์ฃผํƒํ’ˆ์งˆ ๋งŒ์กฑ๋„๊ฐ€ ๋‚ฎ์•„์ง€๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด๋Ÿฌํ•œ ๋ถ„์„ ๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์‹ ํ˜ผ๋ถ€๋ถ€ ์ž„๋Œ€์ฃผํƒ ์ •์ฑ…์— ๋Œ€ํ•œ ์‹œ์‚ฌ์ ์„ ์ œ์‹œํ•˜๋ฉด ์ฒซ์งธ, ์ €์†Œ๋“์‹ ํ˜ผ๋ถ€๋ถ€์˜ ์ฃผ๊ฑฐ์•ˆ์ •๋งŒ์กฑ๋„๋ฅผ ๋†’์ด๊ธฐ ์œ„ํ•ด์„œ๋Š” ์žฅ๊ธฐ๊ฐ„ ๊ฑฐ์ฃผ๊ฐ€ ๊ฐ€๋Šฅํ•œ ๊ตญ๋ฏผ์ž„๋Œ€์ฃผํƒ์˜ ๊ฑด์„ค์„ ํ™•๋Œ€ํ•˜์—ฌ์•ผ ํ•œ๋‹ค. ์–‘์  ํ™•๋Œ€์— ๊ทธ์น˜์ง€ ๋ง๊ณ , ์ฃผํƒํ’ˆ์งˆ์„ ๋ฏผ๊ฐ„์ž„๋Œ€์ฃผํƒ ์ˆ˜์ค€์œผ๋กœ ํ–ฅ์ƒ์‹œ์ผœ ์งˆ ์ข‹์€ ์ฃผํƒ์„ ๊ฑด์„คํ•˜์—ฌ์•ผ ํ•œ๋‹ค. ๋‘˜์งธ, ๊ตญ๋ฏผ์ž„๋Œ€์ฃผํƒ์˜ ์ž…์ง€์  ๋‹จ์ ์„ ๊ฐœ์„ ํ•˜๊ธฐ ์œ„ํ•ด ๋„์‹ฌ ๋‚ด ์žฌ๊ฐœ๋ฐœ, ์žฌ๊ฑด์ถ• ์‹œํ–‰ ์‹œ ์ธ์„ผํ‹ฐ๋ธŒ ์ œ๊ณต์„ ํ†ตํ•ด ๊ตญ๋ฏผ์ž„๋Œ€์ฃผํƒ ์˜๋ฌด๊ฑด์„ค๋น„์œจ์„ ๋†’์ด๋Š” ๋“ฑ์˜ ๋ฐฉ์•ˆ์„ ๋ชจ์ƒ‰ํ•˜์—ฌ ์ข‹์€ ์œ„์น˜์˜ ๊ตญ๋ฏผ์ž„๋Œ€์ฃผํƒ์„ ํ™•๋ณดํ•˜์—ฌ์•ผ ํ•œ๋‹ค. ์…‹์งธ, ์‹ ํ˜ผ๋ถ€๋ถ€์˜ ์ง€์†์  ์ฃผ๊ฑฐ์•ˆ์ •์„ ์œ„ํ•ด ๋ถ„์–‘์ „ํ™˜ ์ž„๋Œ€์ฃผํƒ๋„ ๊ณต๊ธ‰ํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ๊ตญ๋ฏผ์ž„๋Œ€์ฃผํƒ์€ ๊ณ„์•ฝ ์‹œ ์†Œ๋“๊ธฐ์ค€์ด ์ดˆ๊ณผ๋˜๋ฉด ๊ฐฑ์‹ ๊ณ„์•ฝ์ด ๊ฑฐ์ ˆ๋˜๋ฉฐ, ๋†’์€ ์ฃผํƒ๊ฐ€๊ฒฉ์œผ๋กœ ์ธํ•ด ์ž๊ฐ€์ฃผํƒ ๋งˆ๋ จ๋„ ์–ด๋ ค์šด ํ˜„์‹ค์— ์ฒ˜ํ•˜๊ธฐ๊ฐ€ ์‰ฝ๊ธฐ ๋•Œ๋ฌธ์ด๋‹คIn order to provide stable housing for newlyweds, the government is implementing a system in which up to 30% of public housing construction supplies are supplied to newlyweds first. Considering the purpose of this system, it is also very important to improve the quality of life and efficiency of the system by increasing the housing satisfaction of newlywed couples, not just expanding the quantity of public rental housing. Based on the analysis results, the government should expand the construction of public rental housing that can live for a long period of time in order to improve the housing stability satisfaction of newlywed couples. Instead of just quantitative expansion, quality of housing should be built at the level of private rental housing. Second, in order to improve the location weakness of national rental housing, the volume of national rental housing in a good location should be increased by increasing the mandatory construction ratio of public rental housing by providing various benefits when implementing reconstruction in the city center. Third, in order to provide continuous housing stability for newlyweds, it is necessary to supply rental houses that can be owned after renting. Under the public Rental Housing Regulations, renewals are rejected if the income of newlyweds is higher than the upper limit. At this time, it is difficult to buy own houses due to high housing prices, so housing that can be owned after renting is needed.์ œ 1 ์žฅ ์„œ๋ก  1 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ ๋ชฉ์  ๋ฐ ํ•„์š”์„ฑ 1 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ์˜ ๋Œ€์ƒ๊ณผ ๋ฐฉ๋ฒ• 2 ์ œ 2 ์žฅ ์ด๋ก ์  ๋…ผ์˜์™€ ์„ ํ–‰์—ฐ๊ตฌ ๊ฒ€ํ†  4 ์ œ 1 ์ ˆ ์ด๋ก ์  ๋…ผ์˜ 4 1. ์ฃผ๊ฑฐ๊ถŒ(์ ์ ˆํ•œ ์ฃผ๊ฑฐ)์— ๊ด€ํ•œ ๋…ผ์˜ 5 2. ์ฃผํƒ ๋ฌธ์ œ์— ๋Œ€ํ•œ ๊ตญ๊ฐ€์˜ ๊ฐœ์ž… 8 3. ์šฐ๋ฆฌ๋‚˜๋ผ์˜ ๊ณต๊ณต์ž„๋Œ€์ฃผํƒ ์ •์ฑ… 10 ์ œ 2 ์ ˆ ์„ ํ–‰์—ฐ๊ตฌ ๊ฒ€ํ†  14 1. ์ฃผ๊ฑฐ๋งŒ์กฑ๋„์— ๋Œ€ํ•œ ๊ฐœ๋… 14 2. ์ฃผ๊ฑฐ๋งŒ์กฑ๋„์— ๊ด€ํ•œ ์„ ํ–‰์—ฐ๊ตฌ 16 3. ์„ ํ–‰์—ฐ๊ตฌ์™€์˜ ์ฐจ๋ณ„์„ฑ 21 ์ œ 3 ์žฅ ์—ฐ๊ตฌ ์„ค๊ณ„ ๋ฐ ๋ถ„์„ ๋ฐฉ๋ฒ• 22 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ์˜ ๋ฒ”์œ„์™€ ๋ฐฉ๋ฒ• 22 1. ์—ฐ๊ตฌ์˜ ๋ฒ”์œ„ 22 2. ์—ฐ๊ตฌ์˜ ๋ฐฉ๋ฒ• 25 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ๋ชจํ˜•๊ณผ ๊ฐ€์„ค 29 1. ์—ฐ๊ตฌ๋ชจํ˜• 29 2. ์—ฐ๊ตฌ๊ฐ€์„ค 30 ์ œ 3 ์ ˆ ๋ณ€์ˆ˜์˜ ๊ตฌ์„ฑ 35 1. ์ข…์†๋ณ€์ˆ˜ 35 2. ๋…๋ฆฝ๋ณ€์ˆ˜ 36 ์ œ 4 ์žฅ ์—ฐ๊ตฌ๊ฒฐ๊ณผ 38 ์ œ 1 ์ ˆ ํ‘œ๋ณธ์˜ ์ธ๊ตฌํ†ต๊ณ„ํ•™์  ํŠน์„ฑ 38 1. ํ‘œ๋ณธ์˜ ์ผ๋ฐ˜์  ํŠน์„ฑ 38 2. ํ‘œ๋ณธ์˜ ์†Œ๋“ ์ˆ˜์ค€ 38 3. ๊ฐ€๊ตฌ ๊ตฌ์„ฑ ํ˜•ํƒœ์— ๊ด€ํ•œ ์‚ฌํ•ญ 39 4. ๊ฑฐ์ฃผ ์ฃผํƒ์— ๊ด€ํ•œ ์‚ฌํ•ญ 40 5. ์ฃผํƒ์˜ ๋ฌผ๋ฆฌ์  ํŠน์„ฑ 41 ์ œ 2 ์ ˆ ์„ค๋ฌธ์˜ ํƒ€๋‹น์„ฑ๊ณผ ์‹ ๋ขฐ๋„ ๊ฒ€์ฆ 43 1. ํƒ€๋‹น์„ฑ์˜ ์ •์˜์™€ ์š”์ธ๋ถ„์„ 43 2. ์‹ ๋ขฐ๋„ ๊ฒ€์ฆ 46 ์ œ 3 ์ ˆ ์ฃผ๊ฑฐ๋งŒ์กฑ๋„ ๊ธฐ์ดˆ ๋ถ„์„ 47 1. ์ฃผ๊ฑฐ๋งŒ์กฑ๋„ ์š”์ธ๋ณ„ ์ด๊ด„ ๋ถ„์„ 47 2. ์ฃผ๊ฑฐ๋งŒ์กฑ๋„ ์š”์ธ์˜ ํ•ญ๋ชฉ๋ณ„ ๋งŒ์กฑ๋„ ๋ถ„์„ 49 3. ์ฃผ๊ฑฐ๋งŒ์กฑ๋„ ๊ธฐ์ดˆ๋ถ„์„ ์†Œ๊ฒฐ 53 ์ œ 4 ์ ˆ ์ฃผ๊ฑฐ๋งŒ์กฑ๋„ T-test 54 1. ์ฃผ๊ฑฐ์•ˆ์ • ๋งŒ์กฑ๋„์— ๋Œ€ํ•œ ์˜ํ–ฅ ๋ถ„์„ 54 2. ์ฃผํƒํ’ˆ์งˆ ๋งŒ์กฑ๋„์— ๋Œ€ํ•œ ์˜ํ–ฅ ๋ถ„์„ 55 3. ์ฃผํƒ์ž…์ง€ ๋งŒ์กฑ๋„์— ๋Œ€ํ•œ ์˜ํ–ฅ ๋ถ„์„ 56 4. ๋‹จ์ง€ํ™˜๊ฒฝ ๋งŒ์กฑ๋„์— ๋Œ€ํ•œ ์˜ํ–ฅ ๋ถ„์„ 56 5. t-test ์ข…ํ•ฉ ๋ถ„์„ 57 ์ œ 5 ์ ˆ ์ฃผ๊ฑฐ๋งŒ์กฑ๋„ ๋ฐ ์ƒํ˜ธ์ž‘์šฉํ•ญ ํšŒ๊ท€๋ถ„์„ 57 1. ์ฃผ๊ฑฐ์•ˆ์ • ๋งŒ์กฑ๋„์— ๋Œ€ํ•œ ์˜ํ–ฅ ๋ถ„์„ 58 2. ์ฃผํƒํ’ˆ์งˆ ๋งŒ์กฑ๋„์— ๋Œ€ํ•œ ์˜ํ–ฅ ๋ถ„์„ 59 3. ์ฃผํƒ์ž…์ง€ ๋งŒ์กฑ๋„์— ๋Œ€ํ•œ ์˜ํ–ฅ ๋ถ„์„ 60 4. ๋‹จ์ง€ํ™˜๊ฒฝ ๋งŒ์กฑ๋„์— ๋Œ€ํ•œ ์˜ํ–ฅ ๋ถ„์„ 62 5. ์ฃผํšจ๊ณผ ๋ฐ ์กฐ์ ˆํšจ๊ณผ ์ข…ํ•ฉ ๋ถ„์„ 64 ์ œ 5 ์žฅ ๊ฒฐ๋ก  65 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ์˜ ์š”์•ฝ 65 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ์˜ ์˜์˜ ๋ฐ ์‹œ์‚ฌ์  69 1. ๊ตญ๋ฏผ์ž„๋Œ€์ฃผํƒ ๊ฑด์„ค์˜ ํ™•๋Œ€ 69 2. ๊ตญ๋ฏผ์ž„๋Œ€์ฃผํƒ ๊ฑด์„ค๋ฌผ๋Ÿ‰ ํ™•๋ณด ๋ฐฉ์•ˆ์˜ ๋‹ค์–‘ํ™” 69 3. ์ง€์†์  ์ฃผ๊ฑฐ์•ˆ์ •์„ ์œ„ํ•œ ๋ถ„์–‘์ „ํ™˜ ์ž„๋Œ€์ฃผํƒ ๊ณต๊ธ‰ 70 ์ œ 3 ์ ˆ ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„ 71 ์ฐธ๊ณ ๋ฌธํ—Œ 73 Abstract 78์„
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