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Impact of Monitoring Activities and Social Ties on the Repayment Problems of group-Based Lending-Evidence from Vietnam

  • Tran Ba-Tri
  • Loc Dong Truong
  • Pham Phat Tien
  • 478-487
  • Aug 29, 2024
  • Economics

Impact of Monitoring Activities and Social Ties on the Repayment Problems of group-Based Lending-Evidence from Vietnam

Tran Ba-Tri*, Loc Dong Truong, Pham Phat Tien

School of Economics, Can Tho University, Vietnam

Corresponding Author*

DOI: https://dx.doi.org/10.47772/IJRISS.2024.808038

Received: 12 July 2024; Accepted: 22 July 2024; Published: 29 August 2024

ABSTRACT

This study examines how monitoring activities by group leaders and social ties within groups influence repayment rates in the Vietnam Bank for Social Policy’s group lending program in the Mekong Delta. Data used in this paper was obtained from a survey of 675 members from lending groups in five provinces in the Mekong Delta in September 2022. The analysis finds a negative relationship between the leader’s social ties and repayment rates, implying that strong social ties might hinder enforcement. However, the impacts of delegated monitoring activities exhibits mixed results. On one hand, group size, proxying for monitoring intensity, reduces loan default. On the other hand, long time serving as group leaders, and frequency of visiting of group leaders to other members have unexpected impacts.

Keywords: group lending, repayment problem, monitoring, social ties.

JEL Classification: D26, D82, G21, G51, O16

INTRODUCTION

Asymmetric information between borrowers and lenders creates challenges such as moral hazard and adverse selection, particularly hindering credit markets in developing economies (Stiglitz and Weiss, 1981). The poor often lack the collateral required for loans, limiting economic growth and perpetuating poverty (Stiglitz, 1990).

Microfinance programs have emerged as a potential solution, providing small loans to the impoverished. While group lending, where borrowers share responsibility, has been theoretically lauded for addressing information asymmetries through peer monitoring, the increasing shift toward individual lending suggests its limitations (Hermes and Mehrteab, 2007). Additionally, many group lending models incorporate formal monitoring mechanisms.

The Vietnam Bank for Social Policy (VBSP) is a specialized bank in Vietnam dedicated to improving the socioeconomic conditions of the poor and near-poor. Its primary operation involves providing loans through a group lending program. Given the program’s structure and the importance of group dynamics as highlighted by Werner (1995) and Sharma and Zeller (1995), the VBSP offers a valuable opportunity to study group lending.

This study aims to investigate how monitoring activities and social ties of group leaders influence loan defaults in the VBSP’s group lending program. By examining these factors, the study contributes to the broader understanding of the delegated roles of group leaders in mitigating moral hazard within groups and provides empirical evidence for potential policy implications.

LITERATURE REVIEW

Theoretical models primarily emphasize the role of joint liability lending in addressing information asymmetries within financial markets. Specifically, joint liability has been demonstrated to mitigate moral hazard (Stiglitz, 1990; Varian, 1990; Banerjee, Besley and Guinnane, 1994), adverse selection (Ghatak, 2000; Gangopadhyay, Ghatak, and Lensink, 2005, Van Tassel, 1999), and strategic default (Besley and Coate, 1995; Armendariz de Aghion, 1999) in contexts where borrowers lack collateral. However, recent research posits that joint liability is not the sole determinant of microfinance success in overcoming information challenges. Other mechanisms, such as dynamic incentives, are equally crucial (Armendariz de Aghion and Morduch, 2000, 2005). The importance of dynamic incentives has been highlighted by studies demonstrating the potential for severe under-monitoring in peer monitoring systems without supplementary measures (Chowdhury, 2005). Consequently, there is a growing demand for further theoretical exploration of optimal monitoring strategies within underdeveloped credit markets.

Empirical research on joint liability lending is limited. Early studies, such as Werner (1995) on Costa Rican groups and Sharma and Zeller (1995) on Bangladeshi groups, examined factors influencing loan delinquency. Werner (1995) found that frequent staff visits increased internal delinquency, while formal screening reduced it. Sharma and Zeller (1995) linked loan size, family ties within groups, and credit rationing to higher delinquency rates.

Research on microfinance repayment has yielded mixed results. Matin (1997) found that education and land use were associated with timely loan repayment in Bangladesh, while factors like Membership duration and alternative credit sources were linked to delinquency. Zeller (1998) in Madagascar and Wydick (1999) in Guatemala explored group-based lending, finding varying impacts of group size, social ties, and other factors on repayment rates. Karlan (2001) in Peru supported some of Wydick’s findings, linking geographical and cultural factors to delinquency.

Hermes, Lensink, and Mehrteab (2007) studied groups in Eritrea to understand factors affecting loan repayment. They found that group leaders who had access to future loans and knew information about other group members were more likely to lead groups with good repayment records. Eijkel et al. (2012) also focused on group leaders in Eritrea. They discovered that individuals more likely to become group leaders were often male, well-educated, and Muslim. These group leaders also had better chances of getting future loans.

Research on joint liability in microfinance highlights its potential to mitigate risks for both lenders and borrowers. While joint liability can reduce platform risk through self-selection and peer monitoring (Pratiwi, 2023), it also increases individual farmer risk. Studies demonstrate the importance of group dynamics, with factors like social cohesion and group size influencing repayment (Sahan and Phimister, 2023). Moreover, transitioning from individual to joint liability lending can improve repayment behavior, likely due to strengthened social ties within groups (Mahmud, 2020).

Research on joint liability lending in microfinance demonstrates its effectiveness in mitigating information asymmetries and improving repayment rates. While early studies primarily focused on the role of joint liability, recent research highlights the importance of additional factors such as group dynamics, monitoring, and loan program design. Overall, the success of joint liability lending programs depends on a complex interplay of factors beyond the mere formation of groups. Understanding these dynamics is essential for designing effective microfinance interventions. Future research should explore the interaction of these factors in different contexts and the role of technology in enhancing program performance.

ESTIMATION MODEL

Unlike most other studies that rely on information from a single group member, Hermes, Lensink, and Mehrteab (2007) collected data from multiple members within each group. This study aims to analyze deeper the effects of monitoring, and social ties, group leaders on repayment performance. Particularly, we investigate the impacts of monitoring and social ties of the group leaders on loan defaults of the group as a whole; of ordinary members, and of the group leaders.  The empirical model applied in this study is as followed:

Defi =α + βLSMi + δGroupi + μ

Whereas,

DefDi is a vector of dependent variables; DefD1 indicates whether any group member defaulted on a loan; DefD2 denotes default among non-leader members, and DefD3 signifies the group leader’s default status. A Probit model is used to assess the impact of independent variables on repayment performance.

LSMi a vector of proxy variables representing monitoring, and social ties of group leader;

Controli is vector of control variables representing characteristics of the group.

Table 1. Variable measurement

Variable Explanation
Dependent variables
DefD1 =1 if at least one member of a group indicated that he/she has had repayment problems
DefD2 =1 if at least one member of a group other than group leader indicated that he/she has had repayment problems
DefD3 = 1 if group leader indicated that he/she has had repayment problems
Independent variables
Group leader variables
LYrs number of years that the leader leading the group
LAge Age of group leader
LEdu number of years of schooling
LPlaceD Dummy=1 if group leader was born in the survey area
LAvgDist Average distance in meters between the group leader and other members of the group
LOthFinD Dummy=1 if group leader has accessed to other financial sources
LVisitD Dummy=1 if group leader has regularly monitored (at least once a month) other group members by visiting the members
LCandInfoD Dummy=1 if group leader has known about a new member before joining the group
Control variables
GRelD Dummy=1 if group leader knows there is at least one group member has relative(s) in the same group
GMisUse Dummy=1 if group member misuse the loan
DisMarket Distance in meters from house of group member/leader to nearest market
GSize number of members in a group
GVoteD Dummy=1 if group members has had a right to vote for selecting new member
GRegD Dummy=1 if group has a written regulation

Source: the authors

DATA COLLECTION

A survey of 675 members from 225 lending groups was conducted in Septemember 2022 across five provinces in the Mekong Delta. The interviewees were clients of the Vietnamese Bank for Social Policy (VBSP). Each group consisted of three individuals: two regular members and one group leader.

Overall, approximately 66.7% of groups experienced loan defaults, with a default rate of around 64% among ordinary members. Nearly 20% of group leaders faced repayment difficulties. Group leaders were slightly older than 52 years old, with leadership tenures ranging from less than 3 years to 24 years. In terms of education, some group leaders have graduated university, and none of them was illiteracy.

Table 2. Descriptive statistic

Variable Mean Std. Dev. Min Max
Dependent variables
DefD1 .667 .472 0 1
DefD2 .64 .48 0 1
DefD3 .196 .397 0 1
Independent variables
Monitoring variables
LYrs 10.018 3.675 3 24
LVisitD .458 .499 0 1
LCandInfoD .483 .500 0 1
GMisUse .498 .5 0 1
GSize 45.756 9.621 23 60
Social ties variables
LPlaceD .849 .358 0 1
LAvgDist 872.800 647.895 125 4505
Control variables
LSexD .751 .433 0 1
LAge 52.013 10.676 27 80
LEdu 8.231 2.871 3 16
GRelD 0.432692 0.496245 0 1
LOthFinD .267 .443 0 1
DisMarket 2355.841 2475.988 3 14000
DisBank 8125.852 5764.225 200 28000
GVoteD .526 .5 0 1
GRegD .305 .461 0 1

Source: the authors

Geographic distances between group members and between members and their leaders were similar. Access to alternative financial sources was also comparable across members and leaders. Surprisingly, less than a half of the leaders visited members less frequently. However, leaders exhibited better knowledge of new potential members. Approximately half of the groups included relatives and reported loan misuse by members. Distances to main roads, and markets were considerable (over seven kilometers on average). Group sizes were notably large compared to other microfinance programs, averaging 45.8 members, and only half of the groups involved members in voting new members. Formal group regulations were uncommon. Most groups (65.38%) lacked written regulations. Notably, 23.08% of respondents accessed credit from other sources

EMPIRICAL RESULTS

As previously proposed, this section employs a Probit regression model to analyze the impact of monitoring activities and social ties of the group leaders on repayment rates. The results are presented in the following table.

Table 2. Estimation results

(1) (2) (3)
DefD1 DefD2 DefD3
Monitoring variables
LYrs 0.0780*** 0.0861*** -0.0430
(4.12) (3.85) (-0.95)
LVisitD 0.718*** 0.767*** -0.140
(4.84) (4.54) (-0.49)
LCandInfoD 0.217 0.0247 -0.0259
(1.21) (0.13) (-0.04)
GMisUseD 0.744*** 0.351** 0.120
(5.10) (2.25) (0.44)
GSize -0.0830*** -0.0538*** -0.0797***
(-9.98) (-6.47) (-5.06)
Social ties variables
LPlaceD -0.893*** -0.574*** -0.366
(-4.09) (-2.64) (-1.03)
LAvgDist 0.000323*** 0.000320** -0.0000553
(2.68) (2.35) (-0.31)
Control variables
LSexD -0.727*** -0.820*** 0.307
(-4.33) (-4.22) (0.87)
LAge -0.00274 0.00298 -0.0198
(-0.43) (0.42) (-1.50)
LEdu -0.0839*** -0.0760*** -0.166***
(-3.33) (-2.78) (-2.75)
LOthFinD 0.0899 0.395** 0.716**
(0.57) (2.22) (2.42)
DistMkt 0.000179*** 0.0000444 0.0000184
(4.73) (1.33) (0.37)
GVoteD -0.271 -0.441** 0.0215
(-1.44) (-2.21) (0.04)
GRegD 0.134 0.668*** -1.042***
(0.94) (3.48) (-3.38)
constant 4.355*** 2.564*** 5.797***
(6.12) (3.40) (4.08)
N 648 450 198
pseudo R2 0.325 0.252 0.347
Note: *, **, *** denote statistical significance at the 10%, 5% and 1% level, respectively.

In our study, we present the results from three models (as summarized in Table 2), focusing on the loan default behavior within microfinance groups. Specifically, we examine the effects on three categories: (1) all members’ loan defaults, (2) ordinary members’ loan defaults, and (3) group leaders’ loan defaults.

Our findings provide compelling evidence that both monitoring practices and the social ties of group leaders significantly influence the likelihood of loan defaults within the entire group and among ordinary members. Notably, the workload of group leaders, as reflected by group size (GSize), negatively correlates with loan defaults across all three models at the 1% level of significance. Essentially, when group leaders have a manageable workload, the risk of loan defaults decreases. This suggests that the commissions received by group leaders play a pivotal role in their effectiveness.

Surprisingly, two variables-LYrs (longevity of the group leader’s service) and LVisitD (frequency of group leader visits to members)-show unexpected negative signs at the 1% significance level. Let us unpack this: the long-serving group leader’s familiarity with group members might inadvertently reduce the impact of debt collection pressure. Their deep understanding of individual circumstances could lead to a more lenient approach. Frequent visits by the group leader to individual members may serve dual purposes. While they could detect issues related to improper fund use or repayment difficulties, they  might also inadvertently signal leniency, resulting in higher loan defaults. Misused loans (diverted from their intended purpose) tend to correlate with higher default rates.

Regarding social ties variables, group leaders born in the survey area (LPlaceD) exhibit better management skills. Their local knowledge and understanding of community dynamics contribute to effective group leadership. Interestingly, coefficients of the average distance between group leaders’ residences and those of group members (LAvgDist) have mixed impacts on loan defaults. Further proximity seems to correlate with higher default rates of the whole group or ordinary members as other studies (Karlan, 2004; Wydick, 1999). However, the sign of coefficient in model three is unexpected.

Regarding control variables, education levels of group leaders (LEdu) emerge as a strong predictor across all three models. Leaders with higher education tend to be more effective in monitoring and adhering to regulations.

Male group leaders (LSexD) manage group better than female counterparts in model 1 and 2 at the 1% levels. Meanwhile this variable is insignificant in model three indicating that male or female group leaders indifferently repaid their loans.

Leaders who accessing to other credit sources simultaneously with loan from the program (LOthFinD) variables positive coefficients in model 2 and 3 at 5% levels. It demonstrate that as the group leaders accessing to other credit sources may undervalue the importance of the loans from the program.

The Mekong River Delta is a distinctive region characterized by a network of winding channels and rivers, but it faces relatively poor infrastructure-especially when it comes to rural roads. As a consequence, the distance from the market (DisMarket) poses challenges for selling agricultural products, potentially leading to downward pressure on prices. This remoteness from the market has contributed to an increase in loan default rates for the group.

In Model 2, voting rights (GVoteD) for selecting new members have a positive impact on repayment performance at the 5% level. This suggests that when group members have the right to choose new members, the likelihood of default among ordinary members decreases.

Another significant variable is the provision of written regulations (GRegD) to group members. In both Model 2 and Model 3, this variable shows strong statistical significance at the 1% levels. However, the coefficients yield mixed results. On one hand, when written regulations are provided, group leaders appear to exhibit better regulatory compliance. On the other hand, in cases of loan misuse detection, group leaders use these written regulations to warn each member to adhere to the established rules.

CONCLUSIONS

This study examined the intricate relationship between social ties, monitoring, and loan defaults within the context of VBSP’s group lending program in Vietnam’s Mekong Delta. The delegated monitoring by the group leaders exhibited mixed results. While group size, indicating the monitoring intensity of the group leaders, and group misused loans show expected effects on loan defaults, LYrs and LVisitD show unexpected correlations with loan defaults.

Counterintuitively, stronger social bonds between the group leaders and members were associated with lower default rates. This finding provides additional evidence that social cohesion inherently enhances repayment performance in group lending programs.

To optimize program outcomes, VBSP may maintain large groups to stimulate the monitoring efforts of the group leaders. These leaders should have strong social ties in the area. However, the bank may consider replacing leaders who have served for long periods.

Furthermore, the government should invest more in infrastructure in the region, particularly in the construction of rural road systems to facilitate the transfer of agricultural products.

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