Access the full text.
Sign up today, get DeepDyve free for 14 days.
This paper aims to investigate the impact of selected macro-economic variables like real effective exchange rate (REER), GDP, inflation (INF), the volume of trade (TR) and money supply (M2) on-budget deficit (BD) in Bangladesh over the period of 1980–2018.Design/methodology/approachBy using secondary data, the paper uses the Vector Error Correction Model (VECM) and Granger Causality test. Johansen’s cointegration test is used to examine the long-run relationship among the variables under study.FindingsJohansen’s cointegration test result shows that there exists a positive long-run relationship of selected macroeconomic variables (real effective exchange rate, inflation, the volume of trade and money supply) with the budget deficit, whereas GDP has a negative one. The short-run results from the VECM show that GDP, inflation and money supply have a negative relationship with the budget deficit. The Granger Causality test results reveal unidirectional causal relationships running from BD to REER; TR to BD; M2 to BD; GDP to REER; M2 to REER; INF to GDP; GDP to TR; M2 to GDP and bidirectional causal relationship between GDP and BD; TR and REER; M2 and TR.Originality/valueBangladesh has been experiencing a budget deficit since 1972 due to a decline in sources of revenue. This study contributes to the empirical debate on the causal nexus between macroeconomic variables and budget deficits by employing VECM and Granger Causality approaches.
South Asian Journal of Business Studies – Emerald Publishing
Published: Apr 15, 2022
Keywords: Budget deficit; GDP; Inflation; Money supply; REER; Volume of trade; VECM
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.