2017
DOI: 10.1108/afr-02-2016-0010
|View full text |Cite
|
Sign up to set email alerts
|

Agricultural credit provision: what really determines farmers’ participation and credit rationing?

Abstract: This paper analyzes determinants of farmers' participation and credit rationing using survey data from Ghana. The Garrett Ranking Technique is used to analyze farmers' reasons for participation or non-participation in credit programs. A probit regression model is also applied to estimate factors influencing farm households' participation in credit programs. Farm households participate in credit programs because of improved loan access for farming purposes and savings mobilization. Fear of loan default and lack… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

9
60
1

Year Published

2018
2018
2024
2024

Publication Types

Select...
7
2

Relationship

0
9

Authors

Journals

citations
Cited by 82 publications
(70 citation statements)
references
References 35 publications
9
60
1
Order By: Relevance
“…The abilities of the farmer to pay back the borrowed money is the most crucial factor determining access to farm credit. The credit worthiness of farmers depends on their worth measured as value of assets legally owned by the farmer, payment history, savings history, social capital and other socioeconomic factors ( Chandio et al., 2020 ; Asante-Addo et al, 2017 ; Abdul-Jalil, 2015 ). Income is normally used as proxy for worth in econometric models.…”
Section: Resultsmentioning
confidence: 99%
“…The abilities of the farmer to pay back the borrowed money is the most crucial factor determining access to farm credit. The credit worthiness of farmers depends on their worth measured as value of assets legally owned by the farmer, payment history, savings history, social capital and other socioeconomic factors ( Chandio et al., 2020 ; Asante-Addo et al, 2017 ; Abdul-Jalil, 2015 ). Income is normally used as proxy for worth in econometric models.…”
Section: Resultsmentioning
confidence: 99%
“…Next, we evaluate if the social capital variables affect farm household's ability to get a loan (formal and informal). Following [10] Asante-Addo et al [52], and Wossen et al [53], we estimate two Probit model specifications:…”
Section: Methodsmentioning
confidence: 99%
“…The banking sector is now reasonably competitive, capitalized, sound and solid (BANK OF GHANA, 2007). Despite these developments in the banking sector, the agriculture sector's share of credit received compared to other sectors from the formal FIs is low (ASANTE- ADDO, MOCKSHELL, et al, 2017, ASIEDU-MANTE, 2005. Also, according to ATIENO (2001), formal lenders policies make potential borrowers, particularly poor stakeholders such as fishermen and farmers constrained in their credit demand which in turn affects their production, income, and standard of living.…”
Section: Introductionmentioning
confidence: 99%