Determinants of budget deficit in Nigeria / Maimuna M. Shehu and Ibrahim M. Adamu

M. Shehu, Maimuna and M. Adamu, Ibrahim (2021) Determinants of budget deficit in Nigeria / Maimuna M. Shehu and Ibrahim M. Adamu. Journal of International Business, Economics and Entrepreneurship (JIBE), 6 (1). pp. 1-8. ISSN 2550-1429

Abstract

This paper investigates the factors governing the determination of budget deficit in Nigeria from 1981q1 through 2016q4. Our methodology is based on Johansen cointegration and Vector Error Correction model (VECM) approach. The result from the Johansen cointegration test suggests one cointegrating vector, which indicates the existence of a long run cointegrating relationship. Evidence from the long run and short run parameters suggest that exchange rate, interest rate and one year lag of budget deficit are the major determinants of budget deficit. Therefore, to achieve a realistic fiscal surplus, the government should determine a high level of accountability in its fiscal operations. In addition, any fiscal surplus should be channeled into productive investments to diversify the economy and reduce the likelihood of potential budget deficits.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
M. Shehu, Maimuna
imadamu.eco@buk.edu.ng
M. Adamu, Ibrahim
UNSPECIFIED
Subjects: H Social Sciences > HG Finance > Financial management. Business finance. Corporation finance
H Social Sciences > HJ Public Finance > Income and expenditure. Budget
Divisions: Universiti Teknologi MARA, Selangor > Puncak Alam Campus > Faculty of Business and Management
Journal or Publication Title: Journal of International Business, Economics and Entrepreneurship (JIBE)
UiTM Journal Collections: UiTM Journal > Journal of International Business, Economics and Entrepreneurship (JIBE)
ISSN: 2550-1429
Volume: 6
Number: 1
Page Range: pp. 1-8
Keywords: Budget deficit, exchange rate external debt, VECM
Date: June 2021
URI: https://ir.uitm.edu.my/id/eprint/71029
Edit Item
Edit Item

Download

[thumbnail of 71029.pdf] Text
71029.pdf

Download (384kB)

ID Number

71029

Indexing

Statistic

Statistic details