Katalog Plus
Bibliothek der Frankfurt UAS
Bald neuer Katalog: sichern Sie sich schon vorab Ihre persönlichen Merklisten im Nutzerkonto: Anleitung.
Dieses Ergebnis aus Complementary Index kann Gästen nicht angezeigt werden.  Login für vollen Zugriff.

Access to credit for rice farmers and its impact on productivity: the case of Ebonyi State, Nigeria.

Title: Access to credit for rice farmers and its impact on productivity: the case of Ebonyi State, Nigeria.
Authors: YUNI, Denis N.; AGBANIKE, Tobechi F.; CHUKWU, Anayochukwu Basil; ANOCHIWA, Lasbrey I.; ENYOGHASIM, Michael O.; UWAJUMOGU, Nkechinyere R.; MOTHAE, Lerato; OGBUAGU, Anuli R.; OGWURU, Hycenth O. R.
Source: Studies in Agricultural Economics; 2022, Vol. 124 Issue 1, p37-43, 7p
Subject Terms: RICE farmers; LABOR productivity; INDUSTRIAL productivity; LOCAL government
Geographic Terms: NIGERIA
Abstract: This study examines the impact of access to bank and non-bank credit on rice productivity and output. It employed the coarsened exact matching (CEM) model and qualitative methods for primary data on a purposive sample of 450 rice farmers across three Local Government Areas of Ebonyi State, Nigeria. Pre-matching results suggest that access to non-bank credit and access to total credit significantly affected labour productivity and output, while access to bank credit significantly affected output. However, the post-matching results show that access to all three categories of credit has no significant effect on either output or capital, labour, and total factor productivity. This study therefore recommends that for an improved production and productivity yield among rice farmers in the state, policies should focus on the issues of improved quality of education and constraints in accessing loans/credits. [ABSTRACT FROM AUTHOR]
: Copyright of Studies in Agricultural Economics is the property of National Agricultural Research & Innovation Center and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Complementary Index