s

About Academy  |  About IRBAS  |    Contact Us                                                                   ISSN (Online) : 2308-7056 | ISSN (Print) : 2710-0065

International Review of Basic
and Applied Sciences (IRBAS)

Home     Editorial Board     Current Issue     Archive     Indexing      Call for papers     Authors Guideline      Manuscript Submission      Contact

News & Events

Saturday, December 20, 2025
IRBAS Volume 13, Issue 4 has been published.
  
Saturday, December 20, 2025
IRBAS Volume 14, Issue 1, Quarter I of 2026 will publish in Jan-Mar 2026.
  
Monday, October 16, 2023
IRBAS is now HEC Recognized for the year 2023-2024
  
Saturday, December 03, 2022
IRBAS is now HEC Recognized in Category Y from 1st July 2022 till 30th June 2023.
  
Friday, August 06, 2021
IRBAS is now HEC Recognized in Category Y from 1st July 2021 till 30th June 2022.
  
Thursday, September 10, 2020
IRBAS Published on Quarterly basis from Volume 8.
  
Tuesday, January 17, 2017
Recruitment of Reviewers. Reviewers name and affiliation will be listed on the IRBAS journals webpage.
  

IRBAS Citation Report

  All Since 2026
 Citation  342 18
 h-index 11 01
 i10-index 13 01

Hit Counter

Total 1054223
Today's 687
Yesterday's 660

 Country Wise Counter

Academy Publication Ethics


IRBAS Paper Details

← Back to Volume 2, March 2014 issue

Title Evaluation of Agricultural Credit Facility in Agricultural Production and Rural Development
AuthorsEKWERE G. E and I. D. EDEM
Abstract

Lack of capital has been identified as one of the constraints faced by small scale farmers. The aim of this research work was to examine the effect of agricultural credit on agricultural production among small scale farmers with specific objectives to; (1) determine its effect on farm size and (2) evaluate the quantity of inputs and outputs among small scale farmers. Structured questionnaires were administered to 136 farmers, who had been selected using the stratified random sampling technique, and the data obtained were summarized into percentages. Regression analysis was adopted to assess the impacts of socio-economic factors on loan size among farmers, while Cobb-Douglas Production Function Analysis (CDPFA) was used to test the relationship between key independent variables such as loan amount, farm size, inputs and farm output as the dependent variable. The analysis revealed a significantly high (R2= 0.922) degree of relationship between the dependent variable and the independent variables; gender, age, education, family size, farm size, farming experience. The Adjusted coefficient (R2 = 0.918) revealed that 91.8 % variation in the size of loan explained by the changes in variables. The F-test significantly showed the joint effect of variables in the model on the size of loan. And on the hypothesis two, the independent variables; loan amount, farm size, and inputs explained the variation in the total value of output of the farmers. The study therefore shows that access to agricultural credit impacts positively on agricultural production. Government and the organized private sector should regularly and timely offer credit to farmers.
Key Words: Agricultural production, Farmers, Cobb-Douglas, Loan, Rural development, Small scale.

Volume 2
Issue March
Pages 37-46
Download Download PDF (666 downloads)
AUN

Copyright © www.academyirmbr.com : 2012-25. All Rights Reserved.