메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
Abdul Rahman Karim Abdul Ridha Al-Taie (Imam Al-Kazim College of Islamic Sciences) Hussein Breesam Habeeb (Imam Al-Kazim College of Islamic Sciences) Saad H. Khalaf (AL-KUT University)
저널정보
대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.21 No.4
발행연도
2022.12
수록면
565 - 572 (8page)
DOI
10.7232/iems.2022.21.4.565

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
In this research economic growth is one of the concepts that developed and developing countries alike have been taken into account. This research touched on the most important components of the Iraqi oil sector. The role of this sector and the extent of its contribution to the gross domestic product, which is denominated in US dollars according to a base year 2010. Therefore, it became necessary to clarify the concept of economic growth. Thus, it became necessary for Iraq to maximize the rates of economic growth, which was closely linked to the oil sector, which has become the only sector that feeds the rest of the sectors. The researcher adopted a set of standard formulas to demonstrate the impact of oil price fluctuations on Iraqi economic growth, and concluded that: Vector Auto Regression model (VAR) is the model adopted for the data of the variables of the Iraqi economy. After conducting an estimation, it was discovered that the linear formula produced the best results and had the highest value for the determination coefficient, and that the Cranger causality test revealed the existence of a statistically significant reciprocal relationship between the variables considered for the period 1970-2015.

목차

ABSTRACT
1. INTRODUCTION
2. RESEARCH METHODOLOGY
3. RESULTS AND DISCUSSION
4. CONCLUSION
REFERENCES

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2023-530-000226923