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The volume of literature recognizing the importance of rural credit in developing countries has grown significantly in recent years. However, previous studies have mainly assumed that credit has a homogeneous impact on recipients. This paper contributes to the literature by further examining the impacts of credit on different groups of accessed households categorized by relative poverty, loan volumes, access to agricultural extension services and ethnicity in Vietnam. This paper uses data of 1338 households collected from the Vietnam Access Resources Household Survey in 2012. To increase the reliability of estimation measures, the distribution for the impact estimator is further constructed by applying the bootstrapping approach to the Propensity Score Matching. Results show that credit access affects recipient groups heterogeneously. Although there is strong evidence of positive impacts on non-farm income, credit has no effect on farm income, even for recipients with more annual visits to agricultural extension. While credit significantly increases total income, per capita income, and nonfarm income of the Kinh majority, it has little to no impact on those income components of ethnic minorities. Credit tends to have significantly positive impacts on household income of the better-off, the richest and those receiving larger credit volumes. Results imply that households with favorable economic conditions tend to benefit from accessing rural credit.

This study uses the Propensity Score Matching to examine the income impact of different credit sources on accessed households in the Northern Mountains of Vietnam. Results show that overall rural credit serves an important role in improving household income with respect to total income, per capita income and nonfarm income. However, different credit affects recipients heterogeneously. Whereas a significant increase in household income can be achieved through accessing commercial and informal loans, there is no significant increase of all income components associated recipients of preferential credit. These results imply that a successful credit scheme needs to consider variations in transaction costs, disbursement scheme, loan characteristics and typical socio-economic conditions of credit recipients.

This paper uses the data of 1338 rural households in the Northern Mountainous Region of Vietnam to examine the extent to which subsidised credit targets the poor and its impacts. Principal Component Analysis and Propensity Score Matching were used to evaluate the depth of outreach and the income impact of credit. To address the problem of model uncertainty, the approach of Bayesian Model Average applied to the probit model was used. Results showed that subsidised credit successfully targeted the poor households with 24.10% and 69.20% of clients falling into the poorest group and the three bottom groups respectively. Moreover, those who received subsidised credit make up 83% of ethnic minority households. These results indicate that governmental subsidies are necessary to reach the poor and low income households, who need capital but are normally bypassed by commercial banks. Analyses also showed that ethnicity and age of household heads, number of helpers, savings, as well as how affected households are by shocks were all factors that further explained the probability at which subsidised credit has been assessed. Furthermore, recipients obtained a 2.61% higher total income and a 5.93% higher farm income compared to non-recipients. However, these small magnitudes of effects are statistically insignificant at a 5% level. Although the subsidised credit is insufficient to significantly improve the income of the poor households, it possibly prevents these households of becoming even poorer.