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빅 데이터를 활용한 대학의 지역․권역별 학과의 미충원 파급구조 연구 : 패널회귀모형과 토빗회귀모형의 응용을 중심으로
A Study on the Dissemination Structure of Unfilled Positions in Universities Across the Country using Big Data : Using Panel and Tobit Regression Model

첫 페이지 보기
  • 발행기관
    한국정보기술응용학회 바로가기
  • 간행물
    JITAM 바로가기
  • 통권
    Vol.30 No.1 (2023.02)바로가기
  • 페이지
    pp.33-52
  • 저자
    채동우, 정군오
  • 언어
    한국어(KOR)
  • URL
    https://www.earticle.net/Article/A426715

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원문정보

초록

영어
This study observes the difference in the actual regional ripple effect of the decrease in admission resources due to the decrease in school age population, which has been weak in empirical studies, and how much the decrease in competition rate by department nationwide provides a significant shock to the decrease in enrollment rate in the population unit. An empirical quantitative analysis was attempted. As a result of applying the panel-tobit regression model, a clear gap was confirmed in the decrease in the registration rate due to the decrease in the competition rate both nationally and in the provinces, and in particular, a highly significant relationship was derived with the decrease in the recruitment rate. In particular, the sensitivity of the risk of unrecruitment due to a decrease in competition rate was the highest in the Jeolla region (0.499), followed by the Gangwon region (0.475) and the Gyeongsang region (0.471), and the metropolitan region (0.158) was confirmed to be the most stable. This suggests that the gap in insufficient funding has gradually widened by region over the past 10 years, and that the shock wave becomes more pronounced in the provinces farther away from the metropolitan area. Based on this study, if we deviate from the standardized application of university development policies for the metropolitan area and regional universities, and present a customized higher education strategy for each region, it will be an opportunity to prevent local extinction due to a decrease in the school-age population and achieve coexistence with higher education institutions and regions at the same time.

목차

Abstract
1. 서론
1.1 연구의 배경
2. 선행연구 및 본 연구의 차별성
2.1 선행연구
2.2 학령인구 감소 예상 추이
2.3 본 연구의 차별성
3. 모형설정
4. 실증분석
4.1 자료수집
4.2 권역별 경쟁률 충원율 변동 추이
4.3 변수의 조작적 정의
4.4 기술통계
4.5 변수간 상관성 분석
4.6 모집단위 경쟁률과 충원율의 통계적 특성
4.7 위계적 합동 회귀 추정
4.8 패널 토빗 모형을 이용한 권역별 미충원 민감도 추정
4.9 데이터 시각화를 통한 전국 권역별 미충원 위험비교
5. 결론
5.1 요약
5.2 제언 및 연구의 한계
References

키워드

Disclosure of information University unfilled Robustness Panel (Tobit) Model Bootstrapping Local smooth regression Marginal Effect

저자

  • 채동우 [ Dong Woo Chae | Ph. D. in Economics. Hoseo University ] First Author
  • 정군오 [ Kun Oh Jung | Professor, Department of Global Commerce Hoseo University Cheonan Campus ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국정보기술응용학회 [The Korea Society of Information Technology Applications]
  • 설립연도
    1999
  • 분야
    사회과학>경영학
  • 소개
    본 학회는 정보기술 관련 분야의 연구 및 교류를 촉진하여 국가 및 기업정보화 발전에 공헌함을 그 목적으로 한다.

간행물

  • 간행물명
    JITAM [Journal of Information Technology Applications and Management]
  • 간기
    격월간
  • pISSN
    1598-6284
  • eISSN
    2508-1209
  • 수록기간
    1999~2026
  • 십진분류
    KDC 005 DDC 005

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