Phương thức cho vay ủy thác qua các tổ chức nông dân có thúc đẩy tiếp cận tín dụng ngân hàng của các hộ thu nhập thấp không? Bằng chứng từ vùng Tây Bắc, Việt Nam

226(03): 11 - 19  
TNU Journal of Science and Technology  
DOES THE METHOD OF ENTRUSTED LENDING VIA FARMER-BASED  
UNIONS FACILITATE LOW-INCOME HOUSEHOLDS’ ACCESS  
TO BANK CREDIT? EVIDENCE FROM NORTHWESTERN VIETNAM  
*
Do Xuan Luan  
TNU - University of Agriculture and Forestry  
ARTICLE INFO  
ABSTRACT  
This paper aims to examine the hypothesis that the method of entrusted  
lending via farmer-based unions is significant to resolve information  
asymmetries and facilitate households’ access to bank credit. This paper  
uses binary logistic regression models applied to data collected from a  
survey of 548 cinnamon households in Northwestern Vietnam. Results  
show that membership to a farmer-based union facilitates households’  
access to collateral-free credit. Unions help banks to better select  
creditworthy households, conduct group lending to reduce risk of default  
and transaction costs. The successful factor of unions can be explained by  
the fact that unions exploit local knowledge to conduct group lending,  
thereby help to resolve information asymmetries in farm credit markets. To  
bridge the credit gap, more regular trainings for the leaders of unions and  
the groups of credit and savings are needed. In addition, a digital database  
is useful to share reliable information between banks and unions regarding  
relevant entrustment issues. The results contribute to the practical actions  
by suggesting a feasible policy intervention for addressing the problem of  
information asymmetries in farm credit markets.  
Received:  
Revised:  
07/4/2020  
22/5/2020  
10/6/2020  
Published:  
KEYWORDS  
Access to credit  
Households  
Farmer-based unions  
Northwestern  
Vietnam  
PH  N   H C CHO  A      H C QUA C C    CH C N N  D N  
C   H C      I P C N   N D N  N  N H N  C A C C H  
 HU NH P  H P  H N     N  CH N       N        C   I   NAM  
        L    
     g   i h      g     –     h i  gu    
  M   T  
 H N   IN   I   O  
  c   ch c a b i vi t n y nh m ki m   nh gi  thuy t cho r ng ph  ng  
th c cho vay  y th c th ng qua c c t  ch c c a n ng d n c    ngh a  
trong kh c ph c b t c n x ng th ng tin v  th c   y ti p c n t n d ng  
ng n h ng c a c c h  gia   nh.   i vi t s  d ng m  h nh h i quy  
logistic  v i d  li u    c thu th p t  kh o s t     h  tr ng qu    T y  
  c  Vi t  am.   t qu  cho th y th nh vi n trong c c t  ch c n ng d n  
tạo  iều ki n cho c c h  gia   nh ti p c n v i t n d ng ng n h ng kh ng  
c n t i s n th  ch p.   c t  ch c h i gi p ng n h ng l a ch n t t h n  
c c h  gia   nh c  nhu c u vay v n  t  ch c cho vay theo nh m  qua    
gi m r i ro v  chi ph  giao d ch. Th nh c ng c a c c t  ch c h i c  th  
do h     khai th c ki n th c   a ph  ng    ti n h nh cho vay theo  
nh m  qua    gi p kh c ph c b t c n x ng th ng tin trong th  tr  ng t n  
d ng n ng nghi p. C n t  ch c c c kh a   o tạo th  ng xuy n cho c n  
b  c a c c h i v  c c t  ti t ki m  vay v n    thu hẹp kho ng c ch t n  
d ng; x y d ng s  d  li u s     chia s  th ng tin gi a c c ng n h ng v  
c c h i li n quan   n c c v n  ề  y th c cho vay.   t qu  nghi n c u  
cũng  ề xu t c c can thi p ch nh s ch kh  thi    gi i quy t v n  ề b t  
c n x ng th ng tin trong th  tr  ng t n d ng n ng nghi p.  
Ngày  h   bài:  
Ngày hoà  thiện:  
Ngày đă g:  
07/4/2020  
22/5/2020  
10/6/2020  
T
 H A  
T n d ng  
H  gia   nh  
T  ch c n ng d n  
T y   c  
Vi t  am  
11  
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TNU Journal of Science and Technology  
1. Introduction  
Sufficient access to credit is crucial to improve farmers’ income [1]. Unfortunately  access  
constraints have adverse effects on their ability to invest [2]. Lack of collaterals and high  
transaction costs due to information asymmetries have prevented a number of farm households  
from accessing to credit [3]. On the supply side, banks find it hard to evaluate the possible risks  
and repayment capacity of applicants. Banks face higher costs of selecting, controlling and  
enforcing borrowers to repay. In the field of rural credit, few studies examined on how to resolve  
the problem of information asymmetries to narrow the gap between credit demand and supply.  
This study contributes to the literature by answering a main research question: Does the  
method of entrusted lending via farmer-based unions facilitate low-income households’ access  
to bank credit? Lending entrustment means that farmer-based unions such as farmers’ unions  
women’s unions receive entrusted fund from banks via entrustment agreement for lending to  
their clients.  
A case study was made from the cinnamon-farming households in Northwestern Vietnam.  
Cinnamon has been seen as the most aromatic medicinal plant with high concentration of  
essential oils, sweet flavour which are beneficial to health care [4]. Farmers need credit  
incentives to improve the quality of cinnamon materials which are later used in the  
pharmaceutical sector.  
2. Methodology  
2.1. Data collection  
Cinnamon is mainly planted in Yen Bai province, which is home to the most vulnerable,  
socially excluded ethnic communities in the country [5]. The growing demand from international  
markets for high quality cinnamon products being used for food, medicine and essential oils also  
creates challenges for farm households who are involved in the growing stage of cinnamon trees.  
Van Yen from the Northwest, Van Chan from the West and Tran Yen from the Northern part of  
the province were the three districts selected for collecting primary data.  
Table 1. Decomposition of household sample size  
Districts  
Communes  
Dai Son  
Vien Son  
Mo Vang  
Chau Que Ha  
Yen Phu  
Phong Du Thuong  
Xuan Tam  
Tan Hop  
Quy Mong  
Kien Thanh  
Y Can  
Dao Thinh  
Nam Lanh  
Nam Muoi  
Nam Bung  
Son Luong  
16 communes  
Sample households  
Sampling rate (%)  
13.32  
12.41  
5.47  
73  
68  
30  
25  
30  
25  
26  
42  
30  
30  
30  
30  
28  
28  
25  
28  
548  
4.56  
5.47  
4.56  
4.74  
7.66  
5.47  
5.47  
5.47  
5.47  
5.11  
5.11  
4.56  
5.11  
100.00  
Van Yen  
Tran Yen  
Van Chan  
Total  
A household survey was made between August 2017 to March 2018, using a structured  
questionnaire focusing on the role of unions in facilitating household access to bank credit. The  
number of households was approximated to the proportion of cinnamon area based on  
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TNU Journal of Science and Technology  
consultation with village leaders. The sample size contains 548 cinnamon producing households  
from 16 communes in three districts (Table 1). In addition, in-depth interviews with unions and  
banks are made to inquire information about credit access issues.  
2.2. Conceptual framework  
Farmer- Based  
Unions  
•Capital  
mobilisation  
•Business strategies  
•Risk control  
•Legal regulations  
•To resolve  
•Legal documents  
information  
•Credit use plan  
•Collateral  
•Social network  
•Farming pofitability  
assymetries;  
•Briding the  
credit gap  
between demand  
and supply  
CREDIT  
CREDIT SUPPLY  
DEMAND  
Figure 1. A conceptual framework of the study  
(Source: own formulation)  
In this study, the conceptual framework as shown in Figure 1 focuses on the role of farmer-  
based unions in bringing farmers and banks together. On the demand side  farmer’s access to  
credit might depend on various drivers such as ethnicity, education of the household head, family  
size, farm size, access to trainings, property rights through land use certificates and access to bank  
accounts [6]. On the credit supply side, the lending decisions of banks depend heavily on their  
lending policies. To better serve clients, banks need to improve their credit transaction models,  
renew financial products and simplify the procedure in order to reduce transaction costs. These are  
precondition factors to sustain the monetary business activities for banks.  
To bridge the credit gap between demand and supply, local unions assist banks with accessing  
information regarding farming performance and households with credit source availability. The  
partnerships between banks, unions and farmers allow each partner to encourage their strengths and  
have been seen as a promising instrument for farming investment.  
When credit demand and supply are connected, banks can serve more clients, increase loan  
disbursement volumes and earn profits. To the demand side, credit helps borrowers expand  
investment and improve the quality of farming products. The narrowing credit gap can serve an  
important role in rural economic development and poverty reduction.  
2.3. A binary logistic regression model  
Theoretically, if the projected benefit to apply credit is positive, then a household might  
 
 
choose to apply credit and vice versa. The net benefit can be denoted by   , which is a latent  
variable reflecting the net benefit of using credit.  
 
 
                                      (1)  
 
 
 
Where: Ci, denotes the credit status of the household which equals one if the household  
accessed bank credit and otherwise zero. Credit access status is explained by household  
endowments. Mathematically, the probability of taking out a loan is written as follows:  
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(4)  
TNU Journal of Science and Technology  
                                   
 
 
 
 
 
(
)
(
)
    
∫
             
 
   
√
   
 
For                     
 
 
 
   
 
   
β is a k by 1 vector of parameters to be estimated.   is the n by k matrix of the explanatory  
variables. In reality,   is not observable and only   variable for accessing to a loan is  
 
   
   
observable. To measure the probability of accessing credit, this study applies a logistic model.  
The dependent variable, a dichotomous variable (with and without access to credit), is assumed to  
be linearly related to explanatory variables. The model is described as:  
 
         [  
]   
(5)  
      
                                  
 
 
 
 
 
 
 
 
 
 
Where: ln = natural logarithm, P = probability of accessing to credit, 1 P = probability of not  
accessing credit  βn = coefficients of explanatory variables, Xn = predictor variables, and   = error  
 
term. The explanatory variables of access to credit by cinnamon households are derived from a  
literature review and local consultants (Table 2).  
Table 2. Description of selected variables  
Expected  
signs  
+
Dimension Variables  
Definition and measurement  
Type a  
Age  
Age of the household head (years)  
Age squared of the household head, (years squared)  
Number of years in school (years)  
Ethnicity of the household head (=1 if the  
household head is the Kinh majority; 0 otherwise  
Membership status of local unions (=1 if the  
household has at least one person who is a member  
of a women’s union or a farmers’ union; 0  
otherwise)  
C
C
C
Age square  
Education  
+/-  
+
Cinnamon  
farmers  
Ethnicity  
D
+/-  
Union  
D
+
Household size  
Distance to main  
market  
Total number of family members (persons)  
The distance in kilometres from the house to the  
nearest bank  
C
C
+
-
Market visits  
Cinnamon farm size  
Frequency of market visits per week (visits)  
Total cinnamon farm size (hectares)  
If the loan needs to be secured by a red book  
(1=Yes, 0 otherwise)  
C
C
+
+/-  
Cinnamon  
households  
Collateral requirement  
D
+
Ownership of a bank account (=1 if the household  
has a bank account and 0 otherwise)  
A dummy that equals one if the farmer attended a  
training course (e.g. farming technical assistance)  
Bank account  
Training  
D
D
+
+
Van Yen  
Capture geographical indication of cinnamon  
production (=1 if households locate in Van Yen  
district, 0 otherwise)  
Dummy =1 if households locate in Van Chan  
district, 0 otherwise  
D
D
+
-
Van Chan  
Note: aD = discontinuous variables; C = Continuous variables  
2.3.1. Variable of interest  
Union membership is a variable of the most interest. In Vietnam  women’s unions and  
farmers’ unions represent a very specific feature of the country’s political and socio-economic  
landscape and serve a major role in financial inclusion in Vietnam. Union membership enhances  
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TNU Journal of Science and Technology  
family networks which perform key functions as gateways to the formal credit and direct  
marketing channels [7]. It is hypothesized that being a member of unions can give cinnamon  
households a higher chance to access to credit, particularly preferential credit.  
2.3.2. Control variables  
Age and age square of household heads might link to knowledge, experience, economic  
decision-making and life cycle to earn income [8].  
It is hypothesized that educated household heads are more active to respond to the market and  
run their cinnamon farming activities more effectively. Educated farmers are expected to be more  
likely to perceive credit use, implying positive correlations between educational level and access to  
credit [9].  
Ethnic minorities, making up 15% of the population in Vietnam have lower living standards  
than ‘majority’  inh and Hoa households [10]. The government has granted preferential credit to  
ethnic minorities in substantial efforts to promote equal development among ethnic groups of the  
country. This study therefore assumes that ethnic minorities are more likely to receive  
preferential credit but less likely to receive commercial credit.  
Larger households might also imply a higher number of labourers and higher income. It is  
therefore assumed that households with a larger number of members are more likely to have  
access to credit.  
Poor access to roads and transport has a severe impact on marketing of farming products [11].  
The study assumes that the further distance to the nearest market centre is negatively associated  
with access to formal credit for cinnamon households.  
A larger farm size is more efficient compared to smaller farms due to the economics of  
scale. However, smaller farms might be easier to manage compared to larger farms, implying a  
negative correlation between farm size and access to credit. This study assumes that that there  
could be a positive or negative correlation between farm size and access to credit.  
Collateral, often seen as prerequisite to receiving loans from financial institutions, reflects  
the security against a loan for future business performance. Commercial banks use collateral  
to mitigate the inherently risky repayment of borrowers. Therefore, it is hypothesized that  
collateral in terms of land use certificates will be positively correlated with cinnamon  
farmers’ access to Agribank credit.  
Having a bank account encourages rural households to accumulate savings and increase their  
financial literacy [12]. This study hypothesized that households with access to bank accounts  
relax their borrowing constraints from banks.  
Agricultural training can reduce access barriers to credit and eliminate misuse of agriculture  
credit. Thus, this study hypothesized that there is a positive relationship between access to  
training and access to credit for farmers.  
Geographical indications encourage quality and reputation attributable to farming products  
[13]. It is therefore hypothesized geographical identities of cinnamon farming in Van Yen have a  
positive impact on farmers’ access to credit.  
3. Results and discussion  
3.1. Main characteristics of households  
The characteristics of sampled households are presented in Table 3. Among cinnamon  
households with access to credit, 11.86%, and 39.78% have access to Vietnam Bank for  
Agriculture and Rural Development (Agribank) and Vietnam Bank for Social Policy (VBSP)  
credit respectively. Farmers need credit in order to pay for labour during harvesting seasons,  
purchase grass-cutting machines, sawing machines, bark dryer, storage facilities and improved  
drying yards. The credit duration depends on the policy of the bank, the type of credit and the  
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TNU Journal of Science and Technology  
amount of credit applied for. A farmer can apply for the Agribank credit by completing an  
application form and providing collateral in the form of land and houses with proof of land title  
(red books).  
Table 3. Main characteristics of sampled farmers and households  
Van Yen  
(n=319)  
44.8  
Van Chan  
(n=109)  
40.6  
Tran Yen  
(n=120)  
47.1  
Overall  
(n=548)  
44.4  
Dimension  
Variable  
Age (years)  
(10.85)  
(9.88)  
(10.74)  
(10.83)  
Cinnamon  
farmers a  
6.2  
(3.98)  
0.28  
(0.45)  
0.22  
(0.42)  
4.6  
7.4  
(4.33)  
0.18  
(0.38)  
0.19  
(0.39)  
4.9  
6.7  
(2.89)  
0.40  
(0.49)  
0.32  
(0.47)  
4.3  
6.5  
(3.87)  
0.28  
(0.45)  
0.24  
(0.42)  
4.6  
Education (years)  
Ethnicity (0-1)  
Union (0-1)  
Household size  
(persons)  
(1.57)  
(1.74)  
(1.48)  
(1.60)  
Distance to main  
market (km)  
Market visits (visits  
per week)  
Cinnamon farm size  
(hectares)  
Collateral requirement  
(0-1)  
5.7  
(5.69)  
1.74  
(1.33)  
2.7  
(3.36)  
0.16  
(0.37)  
0.09  
(0.28)  
0.14  
(0.35)  
14.73  
21.6  
(11.54)  
1.11  
(1.02)  
0.9  
(1.10)  
0.17  
(0.38)  
0.09  
(0.28)  
0.11  
(0.32)  
7.34  
4. 9  
(3.01)  
1.51  
(1.39)  
1.4  
(1.22)  
0.25  
(0.43)  
0.27  
(0.44)  
0.26  
(0.44)  
8.33  
8.7  
(9.40)  
1.56  
(1.31)  
2.1  
(2.78)  
0.18  
(0.39)  
0.13  
(0.33)  
0.16  
(0.37)  
11.86  
Cinnamon  
households a  
Bank account (0-1)  
Training (0-1)  
Agribank (%)  
VBSP (%)  
Access to  
credit b  
32.28  
45.87  
54.16  
39.78  
Note: a Mean value with standard errors in parentheses;  
b Percentage of respondents who have previously obtained credit from the type of provider  
Farmers can also apply for a preferential credit program, offered by the VBSP subsidised by  
the Vietnamese government. To obtain credit from the VBSP, an applicant needs to be in the list  
of applicants approved by the commune people’s committees. All 39.7 % of households which  
received preferential credit need to be membership in credit and savings groups to receive credit  
through unions such as women’s unions or farmers’ unions.  
3.2. Lending characteristics by banks  
Lending characteristics of two banks are presented in Table 4. The VBSP has disbursed loans  
according to the governmental lending program. Households received subsidies from preferential  
credit programs. The overdue debt of credit disbursed through local unions from the VBSP is  
much lower than that of the Agribank.  
The Agribank still relies on collateral in the form of land use certificates. One difficulty for  
households is due to the problem of family separation leading to a case that many households do  
not have a certificate of land use rights. Multi-generation families separate and one land use  
certificate is used for multiple smaller size families, meaning that only one can use the land use  
certificate to apply for credit.  
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Table 4. Lending characteristics by banks  
Characteristics  
VBSP  
Agribank  
Poor and near-poor households;  
11 lending programs  
Wealthier households; enterprises;  
cooperatives and farms  
Targeted clients  
Credit value not exceeds 70% of  
collateral value  
Maximum amount  
50 million dong  
Overdue debt  
Duration  
0.39% of total amount disbursed  
3-5 years  
3% of total amount disbursed  
Flexible, depends on contracts  
Monthly interest  
rate (%)  
0.65%-0.90%  
Around 1%, flexible, depends on credit  
contracts  
Collateral  
requirement  
Strictly collateral requirement (fixed  
assets or land use certificate)  
No collateral requirement  
Group lending  
Lending model  
Individual lending  
via women’s and farmers’ unions  
Based on the governmental targeting  
and policies  
Lending conditions  
Based on market mechanism  
Monthly or quarterly repayment  
Interest rate collection and principal  
at the communal branches  
Month or quarterly repayment  
Interest rate collection and principle at  
the bank branches  
Loan repayment  
Capital availability Depend on government budget  
Depend on deposit mobilization  
The bank is closely involved in selecting  
borrowers  
and borrower  
selection  
The bank is less involved in  
selecting borrowers  
3.3. The role of farmer-based unions in facilitating households’ access to bank credit  
The results from a logistic estimate of the probability that a household has access to credit are  
presented in Table 5. Results show that access to Agribank credit is not contingent upon union  
membership. It depends on the availability of collateral, stable income and a good business plan.  
However, membership to a union is significant at 1% and positively related the probability of  
households’ access to preferential credit. In other words  cinnamon households that join a union  
have a higher probability of accessing preferential credit. The finding in this study conforms to  
previous studies with data collection in other countries. Social unions also serve as the guarantee  
to improve their members’ access to credit without asset collateral security in rural Philippines  
[14]. Frequent meetings in group lending can serve as insurance to strengthen the ability of  
smallholder farmers to access financial services [15].  
The education of household heads is positively associated with access to Agribank credit (P <  
0.05). More educated households and might run their agribusiness more effectively.  
Ethnic minorities are more likely to access credit, particularly preferential credit. This result  
could be explained by the fact that preferential credit in Vietnam mainly targets the ethnic  
minority households who need capital but are normally bypassed by commercial banks.  
 ollateral in the form of land ownership is positively correlated with cinnamon households’  
access to Agribank credit (P < 0.01), but non-significant with preferential credit (P > 0.10). This  
finding collaborates with those of in-depth interviews with banks which showed that secure  
property rights could be used as one of the most reliable lending criteria for the Agribank.  
Ownership of a bank account is positively and strongly (P < 0.01) correlated only with the  
access to overall credit and preferential credit. This result is consistent with the expectations,  
given that savings account is a component of rural financial inclusion. However, only 21% of  
adults and only 6% of the poor in Vietnam have bank accounts, which is very low compared to  
other countries in the world [16].  
Being located in the most well-known cinnamon district was found to be the most significant  
variables influencing access to Agribank credit. The significant regional dummy variable  
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suggests a higher granted credit in Van Yen compared to other districts. The explanation could be  
geographical indications of cinnamon products certified by the government to improve the  
cinnamon product management system, increase economic value for cinnamon products and  
generate income for farmers.  
Table 5. The impact of membership in farmer-based unions and other relevant factors  
on credit accessibility by cinnamon households  
Estimated coefficients (Standard error)  
Variables  
Dimension  
Agribank  
VBSP  
Overall  
0.0319  
(0.1321)  
-0.00007  
(0.0014)  
0.1015  
-0.0647  
(0.0790)  
0.00048  
(0.0008)  
-0.0484  
(0.0338)  
-0.5960  
(0.2879)**  
3.4985  
-0.0474  
(0.0874)  
0.00020  
(0.0009)  
-0.0106  
(0.0389)  
-0.9433  
(0.3793)**  
6.1209  
Age (years)  
Age square (years squared)  
Education (years)  
Ethnicity (0-1)  
Cinnamon  
farmers  
(0.0518)**  
-0.0151  
(0.3916)  
0.0783  
Union (0-1)  
(0.4115)  
-0.1255  
(0.1169)  
0.0279  
(0.0244)  
0.1324  
(0.3252)***  
0.0797  
(1.0309)***  
0.0472  
Household size (persons)  
Distance to main market (km)  
Market visits (visits)  
Cinnamon farm size (hectares)  
Collateral requirement (0-1)  
Bank account (0-1)  
Training (0-1)  
(0.0746)  
0.0018  
(0.0905)  
0.0088  
(0.0129)  
-0.0980  
(0.0970)  
-0.0624  
(0.0501)  
0.4602  
(0.0143)  
-0.1213  
(0.1374)  
-0.0746  
(0.0596)  
5.8104  
(0.1220)  
0.0243  
Cinnamon  
households  
(0.0686)  
3.7384  
(0.3889)***  
0.0591  
(0.2859)  
1.0413  
(1.0348)***  
1.0544  
(0.4695 )  
-0.4861  
(0.4927)  
1.4007  
(0.3355)***  
.05014  
(0.4114)**  
0.5303  
(0.3085)  
-0.7460  
(0.3036)**  
0.0860  
(0.3881)  
1.1107  
(0.3668)  
-0.3833  
(0.3712)  
-0.4928  
(0.4756)  
0.9092  
Van Yen (0-1)  
(0.4690)**  
-0.5095  
(0.7228)  
-6.2317*  
(3.0661)  
Van Chan (0-1)  
Intercept  
(1.8139)  
(2.0220)  
Model  
specification  
Percent correctly predicted  
(N=548)  
91.79%  
80.47%  
85.77%  
Likelihood ratio test chi2, (14  
degrees of freedom)  
152.12***  
235.97***  
393.06***  
Note: The dependent variable is a 0-1 i di ato  of a  ess to   edit whe e 1= a  ess to   edit’ Sta da d  
errors are in parentheses with the estimates; * Significance at a 10% level; **Significant at a 5% level;  
***Significance at a 1% level.  
4. Conclusions and policy implications  
Access to credit for farm households is a key part of the rural development and poverty  
reduction process. However, lack of access to credit remains a big challenge for farm  
development in general and for the cinnamon farming in particular. This study examines whether  
membership in a farmer-based union can facilitate household’s access to credit.  
18  
226(03): 11 - 19  
TNU Journal of Science and Technology  
The findings show that households need credit improve investment and the quality products  
which are later used for health care needs. Membership in a farmer-based union facilitates  
farmers’ access to collateral-free credit. It is therefore necessary to encourage farmers to join the  
unions to have convenient access to credit. Another finding is that commercial banks are hesitant  
to expand credit and require tangible collateral in the form of red books to be present as the most  
important condition for giving loans.  
Findings in this study provide insights for designing credit schemes for farm households in  
similar situations in other lower-income economies. The key lesson drawn is to take advantage of  
local knowledge to conduct group lending. Lending through farmer-based unions can address the  
problem of information asymmetry in farm credit markets. To enhance the role of farmer-based  
unions, trainings are crucial to enhance their capacity in financial management. Union staffs need  
to be equipped with knowledge to support farmers in running more profitable businesses.  
Acknowledgments  
This research is funded by Vietnam National Foundation for Science and Technology  
Development (NAFOSTED) under grant number 502.01-2016.12.  
REFERENCES  
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19  
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