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
    KCI등재

    주거 에네지 소비에 따른 이산화탄소 배출량의 지역 격차와 격차요인 분석-중국의 성급을 대당으로 하여- = Regional Disparity and Its determinants of CO2 Emissions from Residential Energy Consumption in china

    한글로보기

    https://www.riss.kr/link?id=A100133941

    • 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 regional disparity and its determinants of CO2 emissions from the residential energy consumption in China. This study examines factors that affect the CO2 emissions per capita using the panel model. The panel model was set by a balanced panel data for 30 provinces and for the period of 2006-2011. CO2 emissions per capita is used as the dependent variable and characteristics of the household and regional physical environmental factors are selected as the explanatory variables. The important findings can be summarized as follows. CO2 emissions per capita is influenced by the ratio of the graduate students, household size, the ratio of the old-aged, female economic participation rate. High residential density is negatively affected on CO2 emissions. The findings suggest energy sources and regional climate. The results of this empirical study give some implications to reduce the residential energy consumption in the era of climate change.
    번역하기

    The purpose of this study is to analyze the regional disparity and its determinants of CO2 emissions from the residential energy consumption in China. This study examines factors that affect the CO2 emissions per capita using the panel model. The pane...

    The purpose of this study is to analyze the regional disparity and its determinants of CO2 emissions from the residential energy consumption in China. This study examines factors that affect the CO2 emissions per capita using the panel model. The panel model was set by a balanced panel data for 30 provinces and for the period of 2006-2011. CO2 emissions per capita is used as the dependent variable and characteristics of the household and regional physical environmental factors are selected as the explanatory variables. The important findings can be summarized as follows. CO2 emissions per capita is influenced by the ratio of the graduate students, household size, the ratio of the old-aged, female economic participation rate. High residential density is negatively affected on CO2 emissions. The findings suggest energy sources and regional climate. The results of this empirical study give some implications to reduce the residential energy consumption in the era of climate change.

    더보기

    동일학술지(권/호) 다른 논문

    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