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

      우리나라主要工業團地의 賃金構造의 實態分析과 그 比較硏究  :  地方 工業團地를 中心으로 = A Analysis and Comparative Study on the Wage Structure of Manufacturing in the Major Local Industrial Park

      한글로보기

      https://www.riss.kr/link?id=A19627787

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      This survey is initiated to provide average monthly earnings of production worker in manufacturing in major local industrial park and is designed to estimate average monthly earnings of employees by kind of business and size of scale, by level of educ...

      This survey is initiated to provide average monthly earnings of production worker in manufacturing in major local industrial park and is designed to estimate average monthly earnings of employees by kind of business and size of scale, by level of education, age, sex, duration of service, and to estimate other ancillarly data related to wages.
      Total average monthly wages of production worker employed in local industrial park is 40.520 won. Inchon industrial park at 104.63, and Taegu industrial park, at 104.13, enjoyed higher than other industrial park. Chunchon industrial park had a wage level of only 95.16%. Wage levels by industrial park are highly associated with regional economic development.
      Average wage varies considerably by industrial group. Breaking down manufacturing into major groups, there also can be seen a wide range of wage levels. With the average earnings of all industries equal to 100.00, the 8th part, (fabricated metal products, machinery and equipment) at 124.75, enjoyed the highest level, while the 2nd part(texile, wearing apparels and leather) stood at 80.97. Generally, the more capital intensive or large scale the industry is, the higher is the wage level.
      Average monthly wages differ widely by the size of scale. Large scale of industry pays higher average wages than small ones does, irrespective of the industrial group. The largest scale industrial group, i.e. 500 employees or more, has the highest wage level, 142.62, while 10-29 employees are 112.11. However, average monthly wage level by size of scale revealed the balanced level between industrial park.
      In order to understand the wage structure, it is also very important to compare with the wage level by such individual characteristics as age, sex, school career and duration of service. Comparing wage levels by the completed level of education, college or university graduates enjoy a wage level of 253.63, high school graduates 135.10 and middle school graduates 113.12 with primary school wage level as base.
      The most outstanding wage difference is seen by sex. With the average earnings of male worker equal to 100.0, primary school graduated female worker enjoy a wage level of 70.10%, middle school graduates 72.41%, high school graduates 70.97% and college and university graduates 60.23%. The higher the level of education is, the wider is the gap in wages by sex.
      Although wage levels increased along with age, the increasing patterns are quite different according to the sex and type of worker. The wage level of male workers as a whole has a fairly positive correlation to age. However, in the case of production worker, the wage level is highly reached at the age of 35-44 and thereafter is tend to decrease. The wage level for female workers is highly reached in the 25-34 age group for female production workers and thereafter is also tend to decrease.
      With the average wage of male production workers under 16 age equal to 100.0, female worker under 16 age group enjoyed at 98.6%, 20-24 age group at 75.5%, 25-34 age group at 51.7%, and 35-44 age group stood at 44.4%.
      Wage levels are increased along with duration of service. The wage level of male worker as a whole has a fairly positive correlation to duration of service. However, in the case of female worker above 10 years duration of service, wage level is outstandingly decreased. The gap in wages by sex is much wider than by other characteristics.

      더보기

      목차 (Table of Contents)

      • Ⅰ. 序言
      • Ⅱ. 硏究調査의 槪念
      • 1. 硏究의 目的
      • 2. 硏究調査의 範圍
      • 3. 硏究調査의 方法
      • Ⅰ. 序言
      • Ⅱ. 硏究調査의 槪念
      • 1. 硏究의 目的
      • 2. 硏究調査의 範圍
      • 3. 硏究調査의 方法
      • 4. 調査의 方法
      • 5. 調査의 期間
      • 6. 用語의 定義
      • 7. 硏究分析의 內容
      • Ⅲ. 地方工業團地의 賃金實態의 比較分析
      • 1. 地方工業團地의 賃金水準
      • 2. 業種部門別賃金의 實態分析
      • 3. 規模別賃金의 實態分析
      • 4. 學歷別賃金의 實態分析
      • 5. 年齡別賃金의 實態分析
      • 6. 勤續年數別賃金의 實態分析
      • Ⅳ. 要約과 結論
      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