RISS 학술연구정보서비스

검색
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
    인기검색어 순위 펼치기

    RISS 인기검색어

      KCI등재

      주거환경이 행복감에 미치는 영향 = The Effect of Residential Environments on Happiness - the Case of Chungnam Province -

      한글로보기

      https://www.riss.kr/link?id=A100036321

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      As in other advanced countries, Korea has recently experienced high rate of suicide together with rapid economic growth. It is meaningful to empirically analyze the effect of residential environments as determinants of happiness because the ultimate goal of policies is to enhance people"s happiness. This study empirically analyzes the effect of residential environments on happiness through two-step regression analysis on Chungnam Social Survey. In the first step we explain personal happiness as a function of the fixed effects of individual residence (i.e., Eup, Myun, and Dong) as well as personal characteristics, and in the second step average happiness of each residence captured in the first step where personal characteristics are controlled for is explained by residential environments of Eup, Myun, or Dong in question. This study finds that individual person"s happiness is affected mainly by the relationship with other family members, household income, employment status as well as the person"s own characteristics. Empirical results in the second step suggest that, rather than physical factors, social network (e.g., trust on neighbors) and environmental pollution are important, and these results imply that the effectiveness of current policies focusing on build-up of infrastructures could be restricted at least in terms of increasing people"s happiness.
      번역하기

      As in other advanced countries, Korea has recently experienced high rate of suicide together with rapid economic growth. It is meaningful to empirically analyze the effect of residential environments as determinants of happiness because the ultimate g...

      As in other advanced countries, Korea has recently experienced high rate of suicide together with rapid economic growth. It is meaningful to empirically analyze the effect of residential environments as determinants of happiness because the ultimate goal of policies is to enhance people"s happiness. This study empirically analyzes the effect of residential environments on happiness through two-step regression analysis on Chungnam Social Survey. In the first step we explain personal happiness as a function of the fixed effects of individual residence (i.e., Eup, Myun, and Dong) as well as personal characteristics, and in the second step average happiness of each residence captured in the first step where personal characteristics are controlled for is explained by residential environments of Eup, Myun, or Dong in question. This study finds that individual person"s happiness is affected mainly by the relationship with other family members, household income, employment status as well as the person"s own characteristics. Empirical results in the second step suggest that, rather than physical factors, social network (e.g., trust on neighbors) and environmental pollution are important, and these results imply that the effectiveness of current policies focusing on build-up of infrastructures could be restricted at least in terms of increasing people"s happiness.

      더보기

      목차 (Table of Contents)

      • Abstract
      • Ⅰ. 서론
      • Ⅱ. 이론적 배경 및 분석모형
      • Ⅲ. 자료 및 변수
      • Ⅳ. 실증분석 결과
      • Abstract
      • Ⅰ. 서론
      • Ⅱ. 이론적 배경 및 분석모형
      • Ⅲ. 자료 및 변수
      • Ⅳ. 실증분석 결과
      • Ⅴ. 결론
      • 참고문헌
      더보기

      동일학술지(권/호) 다른 논문

      동일학술지 더보기

      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