RISS 학술연구정보서비스

검색

인기 검색어

    다국어 입력

    http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

    변환된 중국어를 복사하여 사용하시면 됩니다.

    예시)
    • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
    • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
    닫기

    宅地開發地域의 住宅價格決定要因에 關한 연구 : Hedonic price model에 의한 淸州市의 경우 = A Study on Housing Price Determinants of Housing Site Development District:The cases of hedonic price model in Chong Ju

    한글로보기

    https://www.riss.kr/link?id=T8941111

    • 0

      상세조회
    • 0

      다운로드
    서지정보 열기
    • 내보내기
    • 내책장담기
    • 공유하기
      • URL 복사
    • 오류접수
    인용문이 복사되었습니다.

    부가정보

    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    The purpose of this study is to analyze the housing price factors by using hedonic price model (based on physical, regional, and social factors(microscopic)) in Chong-ju city.
    This will offer data and information on the housing markets of Housing Site Development District.
    It is not only the example of housing market using hedonic price model, but also the study to compare housing markets.
    Based on this purposes, this study analyzed the housing price determinants of Gahyeong 3 District and Yongam 1 District - in Chong-Ju with 'hedonic price model'.
    This study used correlation analysis and regression analysis to achieve the major objectives.
    The results of study are follow as :
    First, the results from Correlation analysis, determinants of Gagyeong 3 District apartment price are analyzed as 'pyong', 'a number of rooms', 'a number of toilets', 'age of apartment', 'noise', 'view', 'distance to the nearest school', 'distance to the nearest post office', 'distance to the nearest hospital(pediatry, dental surgery)', 'distance to the nearest general hospital', 'distance to the nearest park', 'household income level', 'head of household's age', 'management expenses', 'age of children'.
    Determinants of Yongam 1 District apartment price are analyzed as 'pyong', 'a number of rooms', 'a number of toilets', 'age of apartment', 'noise', 'ventilation', 'a bad smell', 'development possibility', 'distance to the nearest bus stop', 'distance to the nearest school', 'distance to the nearest central business district', 'distance to the nearest a village office', 'distance to the nearest grocery', 'distance to the nearest hospital(pediatry, dental surgery)', 'distance to the nearest general hospital', ‘distance to the nearest park', 'household income level', 'head of household's age', 'management expenses', 'a number of people household', 'age of children'.
    Second, the results from regression analysis. Determinants of Gagyeong 3 District apartment price are analyzed as 'pyong', 'a number of rooms', 'a number of toilets', 'development possibility', 'distance to the nearest post office', 'distance to the nearest village office', 'distance to the nearest general hospital', 'distance to nearest sports facilities', 'age of children'.
    Determinants of Yongam 1 District apartment price are analyzed as 'pyong', 'a number of rooms', 'age of apartment', 'a view', 'distance to the nearest bus stop', 'distance to the nearest school', 'age of children'.
    Third, with the above results, the critical factor in common housing market is 'physical factor', such as, 'pyong', 'a number of rooms', 'age of apartment', etc. As a result, housing in Chong Ju is showing a tendency of investment rather than dwelling.
    In conclusion, the above study and analysis method are useful in Housing market, the price of land, etc... This method was analyzed by 'standardized regression coefficient' and 'dummy variables', and may be, is useful to comprehend Korea housing market synthetically.
    Key word : Apartment price, Chong-ju, Hedonic price model, Housing market, Housing price, Housing Site Development, Housing price determinants.
    번역하기

    The purpose of this study is to analyze the housing price factors by using hedonic price model (based on physical, regional, and social factors(microscopic)) in Chong-ju city. This will offer data and information on the housing markets of Housing Sit...

    The purpose of this study is to analyze the housing price factors by using hedonic price model (based on physical, regional, and social factors(microscopic)) in Chong-ju city.
    This will offer data and information on the housing markets of Housing Site Development District.
    It is not only the example of housing market using hedonic price model, but also the study to compare housing markets.
    Based on this purposes, this study analyzed the housing price determinants of Gahyeong 3 District and Yongam 1 District - in Chong-Ju with 'hedonic price model'.
    This study used correlation analysis and regression analysis to achieve the major objectives.
    The results of study are follow as :
    First, the results from Correlation analysis, determinants of Gagyeong 3 District apartment price are analyzed as 'pyong', 'a number of rooms', 'a number of toilets', 'age of apartment', 'noise', 'view', 'distance to the nearest school', 'distance to the nearest post office', 'distance to the nearest hospital(pediatry, dental surgery)', 'distance to the nearest general hospital', 'distance to the nearest park', 'household income level', 'head of household's age', 'management expenses', 'age of children'.
    Determinants of Yongam 1 District apartment price are analyzed as 'pyong', 'a number of rooms', 'a number of toilets', 'age of apartment', 'noise', 'ventilation', 'a bad smell', 'development possibility', 'distance to the nearest bus stop', 'distance to the nearest school', 'distance to the nearest central business district', 'distance to the nearest a village office', 'distance to the nearest grocery', 'distance to the nearest hospital(pediatry, dental surgery)', 'distance to the nearest general hospital', ‘distance to the nearest park', 'household income level', 'head of household's age', 'management expenses', 'a number of people household', 'age of children'.
    Second, the results from regression analysis. Determinants of Gagyeong 3 District apartment price are analyzed as 'pyong', 'a number of rooms', 'a number of toilets', 'development possibility', 'distance to the nearest post office', 'distance to the nearest village office', 'distance to the nearest general hospital', 'distance to nearest sports facilities', 'age of children'.
    Determinants of Yongam 1 District apartment price are analyzed as 'pyong', 'a number of rooms', 'age of apartment', 'a view', 'distance to the nearest bus stop', 'distance to the nearest school', 'age of children'.
    Third, with the above results, the critical factor in common housing market is 'physical factor', such as, 'pyong', 'a number of rooms', 'age of apartment', etc. As a result, housing in Chong Ju is showing a tendency of investment rather than dwelling.
    In conclusion, the above study and analysis method are useful in Housing market, the price of land, etc... This method was analyzed by 'standardized regression coefficient' and 'dummy variables', and may be, is useful to comprehend Korea housing market synthetically.
    Key word : Apartment price, Chong-ju, Hedonic price model, Housing market, Housing price, Housing Site Development, Housing price determinants.

    더보기

    목차 (Table of Contents)

    • 목차
    • 제1장 서론 = 1
    • 제1절 연구의 배경 및 목적 = 1
    • 제2절 연구의 대상 및 범위 = 2
    • 제3절 연구의 방법 = 3
    • 목차
    • 제1장 서론 = 1
    • 제1절 연구의 배경 및 목적 = 1
    • 제2절 연구의 대상 및 범위 = 2
    • 제3절 연구의 방법 = 3
    • 제2장 주택가격결정 및 헤도닉가격모형 = 7
    • 제1절 택지개발과 주택시장 = 7
    • 1. 택지개발의 의의 및 유형 = 7
    • 2. 주택시장의 수요·공급 = 12
    • 3. 주택시장의 가격결정 = 17
    • 4. 주택시장의 특징 = 20
    • 제2절 주택가격결정요인 = 23
    • 1. 가격결정요인의 의의 = 23
    • 2. 개별적 요인 = 25
    • 3. 지역적 요인 = 26
    • 4. 사회적 요인 = 27
    • 5. 기타 요인 = 29
    • 제3절 Hedonic price model과 선행연구 = 29
    • 1. 헤도닉가격모형의 의의 = 29
    • 2. 헤도닉가격모형의 도출과정 = 31
    • 3. 선행 연구 = 33
    • 제3장 청주시 주택현황 및 사례지역별 현황 = 38
    • 제1절 청주시의 주택현황 = 38
    • 1. 청주시 택지 및 주택의 현황 = 38
    • 2. 청주시 주택시장의 특성 = 40
    • 3. 청주시 택지개발 사업현황 = 43
    • 제2절 사례지역 I (가경3지구) = 45
    • 1. 인구 및 주택현황 = 45
    • 2. 택지개발 현황 = 46
    • 제3절 사례지역 II (용암1지구) = 47
    • 1. 인구 및 주택현황 = 47
    • 2. 택지개발 현황 = 48
    • 제4장 헤도닉가격모형의 실증분석 = 50
    • 제1절 조사설계 = 50
    • 1. 분석의 틀 = 50
    • 2. 표본의 추출 및 구성 = 52
    • 3. 조사 및 분석방법 = 52
    • 제2절 변수의 조작적 정의 = 54
    • 1. 자료와 변수 = 54
    • 2. 변수의 측정 = 55
    • 3. 변수의 척도 = 58
    • 제3절 헤도닉가격모형의 적용을 위한 사례지역 특성 비교 = 60
    • 1. 사례지역의 아파트가격 비교 = 60
    • 2. 사례지역의 변수특성 비교 = 62
    • 3. 신뢰도 검증 = 82
    • 4. 아파트가격과 변수간의 상관분석 = 85
    • 5. 아파트가격과 변수간의 회귀분석 = 96
    • 제5장 결론 = 107
    • 參考文獻 = 110
    • ABSTRACT = 114
    • <부록 : 설문지> = 117
    더보기

    분석정보

    View

    상세정보조회

    0

    Usage

    원문다운로드

    0

    대출신청

    0

    복사신청

    0

    EDDS신청

    0

    동일 주제 내 활용도 TOP

    더보기

    주제

    연도별 연구동향

    연도별 활용동향

    연관논문

    연구자 네트워크맵

    공동연구자 (7)

    유사연구자 (20) 활용도상위20명

    이 자료와 함께 이용한 RISS 자료

    나만을 위한 추천자료

    해외이동버튼