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

논문 기본 정보

자료유형
학술저널
저자정보
Akyuz Mert (Department of Economics Ankara Yildirim Beyazit University Ankara Turkey) Gueye Ghislain Nono (Department of Economics) Karul Cagin (Department of Econometrics Pamukkale University Denizli Turkey)
저널정보
한국국제경제학회 International Economic Journal International Economic Journal Vol.37 No.2
발행연도
2023.6
수록면
220 - 244 (25page)
DOI
10.1080/10168737.2023.2182814

이용수

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

초록· 키워드

오류제보하기
The relatively small panel cointegration literature on the dynam- ics between FDI and income inequality predominantly finds that FDI will reduce income inequality in the long-run in developed countries. However, we point out an important technical oversight in the literature. Not accounting for cross-section dependence in panel data methodologies may yield unreliable results. Expanding on the work of Herzer and Nunnenkamp [(2013). Inward and out- ward FDI and income inequality: Evidence from Europe. Review of World Economics, 149(2), 395–422. https://doi.org/10.1007/s10290- 013-0148-3], who pioneered the use of panel cointegration in the European context, we obtain different results when we account for cross-section dependence and employ economic procedures robust to it. Using a panel containing 16 OECD countries (1979–2017), 2 income inequality measures, and 4 FDI measures, we begin by show- ing strong evidence for the existence of cross-section dependence. Then, using second-generation econometric procedures, we do not find any evidence for a cointegrating relationship between inward FDI and income inequality. We do find evidence that outward FDI is cointegrated with income inequality; however, contrary to the main results of the literature, we find that it widens the income gap in the long-run. Additionally, our results support the view that fiscal policy is an important tool to reduce income inequality.

목차

등록된 정보가 없습니다.

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