Discovering the relationship between Agri funding and Agri contribution to GDP
Murshida Hossain · Afsana Jahan · A. K. M. Ashiqur Rahman
International Journal of Finance & Banking Studies · 2024 · Vol. 13 / Issue 1 · 22-26
Publication metrics
External links open provider records or DOI searches. Provider counts are not combined. Mendeley readership measures saves, not citations.
Dimensions
Live provider badge. If unavailable, use the Dimensions link above.
Observed 21 Oct 2026, 00:21 UTC
Observed 22 Oct 2026 01:09 UTC
Observed 22 Oct 2026 01:09 UTC
OpenAlex and Mendeley observations refresh on article visits, at most once per 24 hours. Unavailable data is not zero. Google Scholar opens a DOI search.
Citations received by this article, grouped by the year of the citing work. Crossref and OpenAlex lifetime totals remain separate in Publication metrics.
2017–2026 Annual history last updated:
Citations received
OpenAlex · year of the citing work
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
View data & coverage
2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Years beyond a saved observation’s window remain unknown (—). Older citations are excluded, so this chart’s sum may differ from the OpenAlex lifetime total. The date above belongs to this annual history; an unsuccessful refresh keeps the previous observation.
Abstract
One of the main goals for Bangladesh is to achieve economic growth by increasing agricultural productivity. I will be conducting research to examine how agricultural financing and contributions impact Bangladesh. The researchers collected yearly time series data from the Bangladesh Bank (BB), Ministry of Finance (MoF), and Bangladesh Bureau of Statistics (BBS) for the period of 2012 to 2022. This article employed the GMM estimation technique using SPSS to examine the short- and long-term relationships between agricultural financing and agricultural contribution, along with other control variables. The findings of the study showed that there are connections between agricultural funding and agricultural contribution in both the short-term and long-term. Additionally, agricultural productivity is affected by various dynamic factors including GDP, inflation, interest rates, and government agricultural spending. The dependent variable in this study was GDP, while the independent variable was agricultural production. Most agricultural processing sectors, along with some agricultural producing sectors, have a greater potential for making money. This research indicates that it would be beneficial to increase agricultural financing in order to support the economic development of Bangladesh.
Keywords: {'name': 'Agricultural Credit Agricultural Productivity, Agriculture financing, Agriculture output, Gross Domestic Product, Economic Growth.'}
Authors & affiliations
Murshida Hossain
Affiliation not supplied
Afsana Jahan
Affiliation not supplied
A. K. M. Ashiqur Rahman
Affiliation not supplied
Deposited references
Supplied references, not a list of publications citing this article.
No reference list supplied.