Artikel
Credit off-take from formal financial institutions in rural India: Quantile regression results
Extending financial services to unbanked population in India has remained a central part of the policy thrust of the Indian government for decades. To that effect, a widespread formal credit delivery mechanism has been established to meet the credit requirements of rural communities. However, the Indian government-backed formal financial sector has had limited success in providing resources to poor rural households, which has led to strong criticism of the policy and its implementation. In this study, we use data from 600 rural households spread across six Indian states to examine the changing distribution of credit off-take among borrowers of formal financial institutions. By using quantile regression, we find that even among rural households that could access loans from the formal banking sector, the distribution of credit off-take is skewed towards resource-rich households. We also find that even among borrowers in the upper quantiles of the conditional loan distribution, marginal farmers received substantially less loan amounts than those belonging to the category of medium and large farmers.
- Sprache
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                Englisch
 
- Erschienen in
 - 
                Journal: Agricultural and Food Economics ; ISSN: 2193-7532 ; Volume: 2 ; Year: 2014 ; Pages: 1-20 ; Heidelberg: Springer
 
- Klassifikation
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                Wirtschaft
Multiple or Simultaneous Equation Models: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
Agricultural Finance
 
- Thema
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                Rural credit
Formal finance
Quantile regression
India
 
- Ereignis
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                Geistige Schöpfung
 
- (wer)
 - 
                Pal, Debdatta
Laha, Arnab
 
- Ereignis
 - 
                Veröffentlichung
 
- (wer)
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                Springer
 
- (wo)
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                Heidelberg
 
- (wann)
 - 
                2014
 
- DOI
 - 
                
                    
                        doi:10.1186/s40100-014-0009-y
 
- Handle
 
- Letzte Aktualisierung
 - 
                
                    
                        10.03.2025, 11:44 MEZ
 
Datenpartner
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Objekttyp
- Artikel
 
Beteiligte
- Pal, Debdatta
 - Laha, Arnab
 - Springer
 
Entstanden
- 2014