Ger – a portable, felt-covered dwelling – in rural Mongolia

Although microfinance has grown rapidly over recent years, hard evidence on its socio-economic impact is only emerging slowly. To what extent does microfinance lift people out of poverty by allowing them to generate income from small-scale enterprises? And is group lending (‘joint-liability’) or individual lending the best way to reach out to borrowers? These are questions that XacBank, a leading microfinance institution in Mongolia, has been grappling with as well. The bank wanted to expand its outreach to indigent rural borrowers, in particular female ones, who hitherto had only limited access to financial services. But what is the best way to expand lending to such ‘difficult’ customers?

On the one hand, individual loans may be more suitable in a country in which the nomadic lifestyle may have limited the build up of social capital outside of the family structure. On the other hand, group lending may work well if the looser ties within groups reduce the risk of collusive behaviour. Moreover, since monitoring costs are particularly high – loan officers have to travel extremely large distances to reach remote clients – the reduction of such costs through a group lending structure may be particularly valuable.

To help XacBank with its strategic decision making and to assess empirically the impact of access to microfinance on small business development and poverty reduction, a project team at the EBRD (Ralph De Haas and Heike Harmgart) and the Institute for Fiscal Studies (Orazio Attanasio, Britta Augsburg and Emla Fitzsimons) designed a so-called randomised field experiment. The design entails an experimental set up involving 40 soums (villages) across 5 aimags (provinces). Together with the Mongolian Women’s Federation (MWF) a list was drawn up in each village with the names of relatively poor women who were interested in a XacBank loan to expand or set up a small business. These women were also asked to form preliminary borrowing groups. All 1,148 of them were then interviewed by a survey company in March 2008 (the baseline survey).

Session of MWF representatives involved in the field experiment

The 40 soums were then randomly divided into 10 ‘control soums’, 15 ‘group lending soums’ and 15 ‘individual lending soums’. Information from the baseline survey confirmed that the randomisation worked well: the participating women in all three types of villages were on average very similar across a wide range of observable characteristics.

In a next step, all women in group-lending soums were visited by a XacBank loan officer and groups that were deemed credit-worthy were offered a group loan. In the individual lending soums, women were offered an individual loan, while in the control soums XacBank delayed the roll-out of lending for the duration of the experiment. Importantly, when the women signed up to the project it was carefully explained to them that they would only have a 75 per cent change of actually obtaining a loan during the first year (since XacBank would delay the introduction of lending in 10 out of 40 villages).

A follow-up survey was conducted in October/November 2009, about 20 months after the baseline survey. Four interview teams re-interviewed 982 of the initial respondents; a re-interview rate of 86 per cent. This means that for 982 respondents we have detailed information from both the baseline and follow-up surveys on income, consumption and saving patterns, asset ownership, (in)formal enterprises, and exposure to shocks. Respondents were also asked about their income expectations and attitudes towards risk. Finally, novel questions were asked to gauge how well group members knew their co-borrowers, with the aim of allowing us to make inferences about the ‘information asymmetries’ within joint-liability groups. Detailed information was also gathered on the characteristics of villages and loan officers that participated in the experiment, while XacBank provided the project team with comprehensive repayment data on all loans.

Respondent being interviewed. The stones are used to answer questions about the respondent’s own expectations about her future income.

The project team is currently combining and analysing all of these data. This should allow us to compare how the respondents in the control soums (no loans offered) and the treatment soums have developed over time. Since the women in the treatment and the control villages were on average very similar before the experiment, differences in their subsequent development and outcomes will only be related to whether or not they received a loan.

This comparative analysis is of particular interest given the global financial crisis, the impact of which was felt in rural Mongolia in the period between the two survey rounds. Cashmere prices dropped by more than one third over a short period of time, adversely affecting many herder families. We hope that our results shed light on the question of whether the availability of microfinance has alleviated – or maybe even increased – rural households’ financial vulnerability during the crisis. Complete results are expected to be available in June of this year and will be summarised on this blog. For now, the data collected during the baseline survey already provide some insights into the state of rural microfinance in Mongolia. Three observations stand out:
First, we find that only 44 per cent of respondents had no outstanding debt at the time of the first interview while 46 per cent already had a loan. Almost ten per cent of respondents even had two or thee loans. Contrary to popular perception, penetration of microcredit was already quite advanced across rural Mongolia, even among our sample of relatively poor women who were selected because of their supposedly limited access to finance.

Second, virtually all respondents with a loan took out that loan in 2007 or 2008. Almost half of the respondents had not had another loan (whether repaid or not) in the last five years. Competition for rural customers – in particular between Khan Bank, XacBank and Mongol Postbank – had intensified in recent years. In our sample, Khan Bank has by far the largest market share: we find that just over one half of those with an outstanding debt owe it to Khan Bank.

Third, we find that between 70 and 80 per cent of the debt outstanding at the start of the experiment was used for consumption purposes and not for financing micro-entrepreneurial activities. This is an important finding since it shows that even though microfinance in rural Mongolia has advanced rapidly in recent years, the vast majority of loans has been used for consumption rather than income-generation. That is not to say that these loans have not been ‘useful’: the ability to smooth consumption is particularly important at low income levels. But it will be interesting to see whether the crisis has impacted households with varying debt levels differently. Moreover, it will be of interest to find out to what extent the individual and group loans disbursed during our experiment, which were intended to finance businesses, have indeed been used for such income generating purposes.

Stay tuned for more…

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