Household access to agricultural credit and agricultural production in Nigeria: A propensity score matching model

South African Journal of Economic and Management Sciences

 
 
Field Value
 
Title Household access to agricultural credit and agricultural production in Nigeria: A propensity score matching model
 
Creator Osabohien, Romanus Osuagwu, Eze Osabuohien, Evans Ekhator-Mobayode, Uche Eseosa Matthew, Oluwatoyin Gershon, Obindah
 
Subject — access to credit; agriculture; household; production; propensity score matching
Description Background: Agricultural production is low in Nigeria as a result of low utilisation of farm inputs facilitated by farmers’ inability to save and invest. Therefore, credit is needed by farmers to enhance their productive capacity and efficiency in agriculture.Aim: Given the importance of credit to farmers, this study examined the nexus between households’ access to credit and agricultural production in Nigeria.Setting: The study made use of data from the Living Standard Measurement Study-Integrated Survey on Agriculture (LSMS-ISA) consisting of 4210 households across the 36 states in Nigeria, as well as the Federal Capital Territory, Abuja.Methods: The study employs the propensity score matching (PSM) technique.Results: The main result from the study suggests that households who had access to agricultural credit facilities had yields that are thrice those of their counterparts who did not benefit from such facilities. In the event of a shock, the farmers who did not have a source of credit are often forced to adopt measures such as lowering consumption and selling assets, which in the long run worsen their poverty levels.Conclusion: The study recommends that policymakers should address underlying factors that prevent access to credit for agricultural production, which is capable of raising the productive capacities of farmers.
 
Publisher AOSIS Publishing
 
Contributor Covenant University
Date 2020-01-27
 
Type info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion — survey
Format text/html application/epub+zip text/xml application/pdf
Identifier 10.4102/sajems.v23i1.2688
 
Source South African Journal of Economic and Management Sciences; Vol 23, No 1 (2020); 11 pages 2222-3436 1015-8812
 
Language eng
 
Relation
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https://sajems.org/index.php/sajems/article/view/2688/1986 https://sajems.org/index.php/sajems/article/view/2688/1985 https://sajems.org/index.php/sajems/article/view/2688/1987 https://sajems.org/index.php/sajems/article/view/2688/1984
 
Coverage Nigeria; Africa 2015-2016 farming season waves I30, J43, Q10
Rights Copyright (c) 2020 Romanus Osabohien, Eze Osuagwu, Evans Osabuohien, Uche Eseosa Ekhator-Mobayode, Oluwatoyin Matthew, Obindah Gershon https://creativecommons.org/licenses/by/4.0
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