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Microfinance Information Exchange 
Balancing the Double Bottom Line 
Synergies and Trade-offs Between Performance Types 
17th Microcredit Summit Mérida, Mexico September 5, 2014 
The Premier Source for Microfinance 
Data and Analysis 
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited.
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
2 
Goals of MIX’s study 
 Test industry consensus about the value of social 
performance management (SPM) and its interaction 
with financial performance 
 Continue to build business case for robust SPM 
 Explore MIX’s combined data set and identify areas for 
deeper analysis 
 Follow up to a 2010 MIX study* (“Synergies and Trade-offs”) 
because MIX’s SP dataset has grown significantly 
* Based on 2008 data
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
3 
MIX/SPTF SP indicator categories 
INDICATOR CATEGORY WHAT THE INDICATORS MEASURE 
Mission and social goals 
The MFI’s stated commitment to its social mission, its 
target market, and development objectives 
Governance 
The board of directors’ (BoD) level of engagement with 
SPM 
Range of products and services 
Financial and nonfinancial products and services 
offered by the MFI 
Client outreach by lending methodology Number of active borrowers by lending methodology 
Borrower retention The MFI’s borrower retention rate 
Social responsibility to clients 
MFI implementation of the Smart Campaign Client 
Protection Principles 
Transparency of costs of services to clients How the MFI states its lending interest rate(s) 
Human resources and staff incentives 
The MFI's policies regarding social responsibility to staff, 
staff gender composition, staff turnover rate, and staff 
incentives linked to social performance goals 
Employment creation and enterprises financed Business development and job creation outcomes 
Social responsibility to the environment 
MFI policies and initiatives in place to promote 
environmentally friendly practices and mitigate 
environmental impacts of financed enterprises 
Poverty outreach Client poverty level outcomes
100% 
90% 
80% 
70% 
60% 
50% 
40% 
30% 
20% 
10% 
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
4 
Current goals versus outcome reporting 
0% 
Poverty 
reduction* 
Existing business 
growth 
Employment 
generation 
Gender equality 
and women's 
empowerment* 
Start-up 
development 
Percent of MFIs citing goal Percent of MFIs citing goal and reporting outcomes 
* Proxy outcome indicators 
Outcome data is FY12 except poverty data which is FY10–12; n = 965
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
5 
Study methodology 
 Overall sample of 974 MFIs but no. of obs. varies by 
indicator 
 Quantitative data mostly FY11 but occasionally 
supplemented with prior years where no. of obs. 
was too small (e.g. client poverty data) 
 Quantitative data from FY12 was also used in a very 
small number of instances 
 13 social performance and 12 financial performance 
variables were analyzed 
 Various correlation methods used due to 
heterogeneity of data and type of relationship 
observed
3% 3% 
10% 
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
6 
MFI sample characteristics 
37% 
33% 
17% 
7% 
NGO 
NBFI 
Credit Union / 
Cooperative 
Bank 
Rural Bank 
Other 
29% 
19% 
20% 
19% 
3% 
Latin America and 
The Caribbean 
Eastern Europe and 
Central Asia 
South Asia 
Africa 
East Asia and the 
Pacific 
Middle East and 
North Africa 
MFI SAMPLE BY LEGAL STATUS 
• Mostly NGOs and NBFIs (70%) 
• Banks and rural banks make up 
around 10% total 
MFI SAMPLE BY REGION 
• LAC slightly overrepresented 
• EAP slightly underrepresented 
• MENA very underrepresented
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
7 
Select findings: staff incentives 
Research question: 
Is there a correlation between the existence of specific HR staff 
incentives and other process or performance indicators? 
Hypothesis: 
MFIs with staff incentives tied to specific performance areas will 
show better performance in these areas relative to MFIs without 
such incentives
? 
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
8 
Summary of SP-FP correlations 
Staff 
incentives 
Staff 
turnover 
Borrower 
retention 
rate 
Poverty 
targeting 
SP committee 
(SP 
champion) 
Productivity 
(borrowers 
per loan 
officer) 
Portfolio 
quality 
(PAR30 and 
PAR90) 
Efficiency 
(operating 
cost as % of 
portfolio) 
Synergy Trade-off Inconclusive
Hypothesis: 
MFIs with staff incentives tied to specific performance areas will 
show better performance in these areas relative to MFIs without 
such incentives 
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
9 
Select findings: staff incentives 
Research question: 
Is there a correlation between the existence of specific HR staff 
incentives and other process or performance indicators? 
Synergies: 
• Portfolio quality incentives 
correlated with lower PAR30 
(average 3.2% lower) 
• Client retention incentives 
correlated with better client 
retention (average 4.3% higher) 
Trade-offs: 
• Growth incentives (“attract new 
clients from target market”) 
correlated with fewer borrowers 
per loan officer (average 66 fewer 
borrowers per loan officer)
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
10 
Summary of SP-FP correlations 
Staff 
incentives 
Staff 
turnover 
Borrower 
retention 
rate 
Poverty 
targeting 
SP committee 
(SP 
champion) 
Productivity 
(borrowers 
per loan 
officer) 
- 
Portfolio 
quality 
(PAR30 and 
PAR90) 
+ 
Efficiency 
(operating 
cost as % of 
portfolio) 
Synergy Trade-off Inconclusive
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
11 
Select findings: staff turnover 
Research question: 
Is staff turnover correlated with efficiency indicators? 
Hypothesis: 
MFIs with higher rates of staff turnover will show higher operating 
expense ratios and lower borrower retention (previous MIX 
finding)
? 
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
12 
Summary of SP-FP correlations 
Staff 
incentives 
Staff 
turnover 
Borrower 
retention 
rate 
Poverty 
targeting 
SP committee 
(SP 
champion) 
Productivity 
(borrowers 
per loan 
officer) 
- 
Portfolio 
quality 
(PAR30 and 
PAR90) 
+ 
Efficiency 
(operating 
cost as % of 
portfolio) 
Synergy Trade-off Inconclusive
Hypothesis: 
MFIs with higher rates of staff turnover will show higher operating 
expense ratios and lower borrower retention (previous MIX 
finding) 
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
13 
Select findings: staff turnover 
Research question: 
Is staff turnover correlated with efficiency indicators? 
Synergies: 
• Staff turnover negatively 
correlated with borrower 
retention 
• Staff turnover positively 
correlated with PAR30 and PAR90 
Trade-offs: 
• Staff turnover negatively 
correlated with average staff 
salary
* Staff turnover rate is negatively correlated with average salary. 
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
14 
Summary of SP-FP correlations 
Staff 
incentives 
Staff 
turnover 
Borrower 
retention 
rate 
Poverty 
targeting 
SP committee 
(SP 
champion) 
Productivity 
(borrowers 
per loan 
officer) 
- 
Portfolio 
quality 
(PAR30 and 
PAR90) 
+ + 
Efficiency 
(operating 
cost as % of 
portfolio) 
-* 
Synergy Trade-off Inconclusive
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
15 
Select findings: borrower retention 
Research question: 
Is borrower retention correlated with efficiency or risk indicators? 
Hypothesis: 
MFIs with higher borrower retention will have lower risk profiles 
and have lower rates of staff turnover (previous MIX finding)
? 
* Staff turnover rate is negatively correlated with average salary. 
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
16 
Summary of SP-FP correlations 
Staff 
incentives 
Staff 
turnover 
Borrower 
retention 
rate 
Poverty 
targeting 
SP committee 
(SP 
champion) 
Productivity 
(borrowers 
per loan 
officer) 
- 
Portfolio 
quality 
(PAR30 and 
PAR90) 
+ + 
Efficiency 
(operating 
cost as % of 
portfolio) 
-* 
Synergy Trade-off Inconclusive
Hypothesis: 
MFIs with higher borrower retention will have lower risk profiles 
and have lower rates of staff turnover (previous MIX finding) 
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
17 
Select findings: borrower retention 
Research question: 
Is borrower retention correlated with efficiency or risk indicators? 
Synergies: 
• Borrower retention negatively 
correlated with staff turnover 
• No significant relationship 
found between borrower 
retention and PAR30 or PAR90 
Trade-offs: 
• Borrower retention positively 
correlated with average staff 
salary (likely via staff turnover)
* Staff turnover rate is negatively correlated with average salary and borrower retention rate is 
positively correlated with average salary. 
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
18 
Summary of SP-FP correlations 
Staff 
incentives 
Staff 
turnover 
Borrower 
retention 
rate 
Poverty 
targeting 
SP committee 
(SP 
champion) 
Productivity 
(borrowers 
per loan 
officer) 
- 
Portfolio 
quality 
(PAR30 and 
PAR90) 
+ + 
Efficiency 
(operating 
cost as % of 
portfolio) 
-* +* 
Synergy Trade-off Inconclusive
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
19 
Select findings: gender balance of 
management/board 
Research question: 
Do equality HR policies promote gender balance within an organization? 
(Are higher proportions of female board/staff correlated with 
gender differences in social or financial performance?) 
Hypothesis: 
MFIs with equality HR policies will have greater proportions of female 
board/staff. MFIs with more female board/staff will show better 
gender performance.
? 
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
20 
Summary of SP-SP correlations 
Staff incentives Staff turnover 
Presence of 
female staff 
Borrower 
retention rate + - 
Equality in HR 
policy 
Women’s 
outreach 
Synergy Trade-off Inconclusive
Hypothesis: 
MFIs with equality HR policies will have greater proportions of female 
board/staff. MFIs with more female board/staff will show better 
gender performance. 
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
21 
Select findings: gender balance of 
management/board 
Research question: 
Do equality HR policies promote gender balance within an organization? 
(Are higher proportions of female board/staff correlated with 
gender differences in social or financial performance?) 
Synergies: 
• No significant relationship 
found between equality HR 
policies and gender balance 
• Weak positive correlation 
between female staff and women 
borrower outreach (LAC only) 
Trade-offs: 
[none]
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
22 
Summary of SP-SP correlations 
Staff incentives Staff turnover 
Presence of 
female staff 
Borrower 
retention rate + - 
Equality in HR 
policy 
Women’s 
outreach +* 
* Weak positive correlation between presence of women in staff/board and higher women 
borrower outreach for LAC dataset only. We are currently performing this analysis for 
the global dataset. 
Synergy Trade-off Inconclusive
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
23 
Select findings: poverty targeting 
Research question: 
Is there a correlation between (1) poverty reduction as a goal, (2) 
MFIs offering products designed specifically for the poor, (3) 
ability to report poverty data, (4) number of clients below 
poverty, and (5) provision of consumption loans? (What about with 
other financial/operational indicators?) 
Hypothesis: 
(1), (2), (3), and (4) will be positively correlated with each other and 
negatively correlated with (5).
? 
* Staff turnover rate is negatively correlated with average salary and borrower retention rate is 
positively correlated with average salary. 
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
24 
Summary of SP-FP correlations 
Staff 
incentives 
Staff 
turnover 
Borrower 
retention 
rate 
Poverty 
targeting 
SP committee 
(SP 
champion) 
Productivity 
(borrowers 
per loan 
officer) 
- 
Portfolio 
quality 
(PAR30 and 
PAR90) 
+ + 
Efficiency 
(operating 
cost as % of 
portfolio) 
-* +* 
Synergy Trade-off Inconclusive
Hypothesis: 
(1), (2), (3), and (4) will be positively correlated with each other and 
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
25 
Select findings: poverty targeting 
Research question: 
Is there a correlation between (1) poverty reduction as a goal, (2) 
MFIs offering products designed specifically for the poor, (3) 
ability to report poverty data, (4) number of clients below 
poverty, and (5) provision of consumption loans? (What about with 
other financial/operational indicators?) 
Synergies: 
• MFIs with a specific poverty 
target have lower PAR30 (average 
2.5% lower) 
Trade-offs: 
• Reporting poverty levels negatively 
correlated with consumption loans 
• MFIs without a specific poverty focus 
are more efficient (average operating 
expenses/GLP 7% lower) and higher 
ROA (average 2.2% higher) 
negatively correlated with (5).
* Staff turnover rate is negatively correlated with average salary and borrower retention rate is 
positively correlated with average salary. 
** MFIs without a specific poverty focus exhibit a higher level of efficiency. 
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
26 
Summary of SP-FP correlations 
Staff 
incentives 
Staff 
turnover 
Borrower 
retention 
rate 
Poverty 
targeting 
SP committee 
(SP 
champion) 
Productivity 
(borrowers 
per loan 
officer) 
- 
Portfolio 
quality 
(PAR30 and 
PAR90) 
+ + - 
Efficiency 
(operating 
cost as % of 
portfolio) 
-* +* +** 
Synergy Trade-off Inconclusive
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
27 
Select findings: governance 
Research question: 
Do MFIs with a stronger level of board commitment to SPM 
demonstrate differences in process or performance indicators? 
Hypothesis: 
MFIs with standing SP committees on their board will show higher 
levels of SP outcome reporting.
* Staff turnover rate is negatively correlated with average salary and borrower retention rate is 
positively correlated with average salary. 
** MFIs without a specific poverty focus exhibit a higher level of efficiency. 
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
28 
Summary of SP-FP correlations 
Staff 
incentives 
Staff 
turnover 
Borrower 
retention 
rate 
Poverty 
targeting 
SP committee 
(SP 
champion) 
Productivity 
(borrowers 
per loan 
officer) 
- 
Portfolio 
quality 
(PAR30 and 
PAR90) 
+ + - 
Efficiency 
(operating 
cost as % of 
portfolio) 
-* +* +** 
Synergy Trade-off Inconclusive 
?
Hypothesis: 
MFIs with standing SP committees on their board will show higher 
levels of SP outcome reporting. 
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
29 
Select findings: governance 
Research question: 
Do MFIs with a stronger level of board commitment to SPM 
demonstrate differences in process or performance indicators? 
Synergies: 
• Standing SP committees are 
positively correlated with 
borrowers per loan officer 
(average of 75 more clients)* 
Trade-offs: 
[none] 
* MIX’s desk review experience leads us to think that this difference is probably due more to the 
presence of an SP champion at the board level.
* Staff turnover rate is negatively correlated with average salary and borrower retention rate is 
positively correlated with average salary. 
** MFIs without a specific poverty focus exhibit a higher level of efficiency. 
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
30 
Summary of SP-FP correlations 
Staff 
incentives 
Staff 
turnover 
Borrower 
retention 
rate 
Poverty 
targeting 
SP committee 
(SP 
champion) 
Productivity 
(borrowers 
per loan 
officer) 
- + 
Portfolio 
quality 
(PAR30 and 
PAR90) 
+ + - 
Efficiency 
(operating 
cost as % of 
portfolio) 
-* +* +** 
Synergy Trade-off Inconclusive
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
31 
Key findings 
Human resources: 
• Staff incentives linked to portfolio quality and borrower retention 
associated with better outcomes in those areas 
• Higher staff turnover associated with higher risk (PAR30 and PAR90), with 
lower borrower retention, and with higher operating expense (average 
salary) 
Poverty targeting: 
• Poverty targeting associated with lower risk (PAR30) 
• Poverty targeting associated with lower efficiency/ROA 
• Client poverty reporting associated with not providing consumer loans 
Governance: 
• Strong board commitment to SP associated with better productivity 
(borrowers per loan officer)
MIX Global and Project Partners 
MIX partners with a dedicated group of industry leaders: 
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
32
Microfinance Information Exchange 
Visit us on the Web: 
www.themix.org  www.mixmarket.org 
Contact us: info@themix.org 
Interested in learning more about MIX? 
Sign up to receive our free e-mail 
newsletters! 
Find us on Facebook 
Follow us on Twitter: @mix_market 
Regional Offices: 
Baku, Azerbaijan 
44 J. Jabbarli st. Caspian Plaza I, 5th Floor, 
Baku, Azerbaijan 
Lima, Peru 
Jirón León Velarde 333 Lince, Lima 14, Perú 
Dakar, Senegal 
Villa n°4, rue YF-632, cité Ablaye Thiam 
Ouest-Foire, Dakar-Sénégal 
Hyderabad, India 
Road #12, Landmark Building, 5th Floor, 
Banjara Hills, Hyderabad 500034, India 
This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this 
presentation without MIX’s prior written permission is strictly prohibited. 
33 
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1901 Pennsylvania Ave., NW, Suite 307 
Washington, D.C. 20006 USA

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MIX Microcredit Summit Campaign Presentation

  • 1. Microfinance Information Exchange Balancing the Double Bottom Line Synergies and Trade-offs Between Performance Types 17th Microcredit Summit Mérida, Mexico September 5, 2014 The Premier Source for Microfinance Data and Analysis This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited.
  • 2. This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 2 Goals of MIX’s study  Test industry consensus about the value of social performance management (SPM) and its interaction with financial performance  Continue to build business case for robust SPM  Explore MIX’s combined data set and identify areas for deeper analysis  Follow up to a 2010 MIX study* (“Synergies and Trade-offs”) because MIX’s SP dataset has grown significantly * Based on 2008 data
  • 3. This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 3 MIX/SPTF SP indicator categories INDICATOR CATEGORY WHAT THE INDICATORS MEASURE Mission and social goals The MFI’s stated commitment to its social mission, its target market, and development objectives Governance The board of directors’ (BoD) level of engagement with SPM Range of products and services Financial and nonfinancial products and services offered by the MFI Client outreach by lending methodology Number of active borrowers by lending methodology Borrower retention The MFI’s borrower retention rate Social responsibility to clients MFI implementation of the Smart Campaign Client Protection Principles Transparency of costs of services to clients How the MFI states its lending interest rate(s) Human resources and staff incentives The MFI's policies regarding social responsibility to staff, staff gender composition, staff turnover rate, and staff incentives linked to social performance goals Employment creation and enterprises financed Business development and job creation outcomes Social responsibility to the environment MFI policies and initiatives in place to promote environmentally friendly practices and mitigate environmental impacts of financed enterprises Poverty outreach Client poverty level outcomes
  • 4. 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 4 Current goals versus outcome reporting 0% Poverty reduction* Existing business growth Employment generation Gender equality and women's empowerment* Start-up development Percent of MFIs citing goal Percent of MFIs citing goal and reporting outcomes * Proxy outcome indicators Outcome data is FY12 except poverty data which is FY10–12; n = 965
  • 5. This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 5 Study methodology  Overall sample of 974 MFIs but no. of obs. varies by indicator  Quantitative data mostly FY11 but occasionally supplemented with prior years where no. of obs. was too small (e.g. client poverty data)  Quantitative data from FY12 was also used in a very small number of instances  13 social performance and 12 financial performance variables were analyzed  Various correlation methods used due to heterogeneity of data and type of relationship observed
  • 6. 3% 3% 10% This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 6 MFI sample characteristics 37% 33% 17% 7% NGO NBFI Credit Union / Cooperative Bank Rural Bank Other 29% 19% 20% 19% 3% Latin America and The Caribbean Eastern Europe and Central Asia South Asia Africa East Asia and the Pacific Middle East and North Africa MFI SAMPLE BY LEGAL STATUS • Mostly NGOs and NBFIs (70%) • Banks and rural banks make up around 10% total MFI SAMPLE BY REGION • LAC slightly overrepresented • EAP slightly underrepresented • MENA very underrepresented
  • 7. This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 7 Select findings: staff incentives Research question: Is there a correlation between the existence of specific HR staff incentives and other process or performance indicators? Hypothesis: MFIs with staff incentives tied to specific performance areas will show better performance in these areas relative to MFIs without such incentives
  • 8. ? This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 8 Summary of SP-FP correlations Staff incentives Staff turnover Borrower retention rate Poverty targeting SP committee (SP champion) Productivity (borrowers per loan officer) Portfolio quality (PAR30 and PAR90) Efficiency (operating cost as % of portfolio) Synergy Trade-off Inconclusive
  • 9. Hypothesis: MFIs with staff incentives tied to specific performance areas will show better performance in these areas relative to MFIs without such incentives This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 9 Select findings: staff incentives Research question: Is there a correlation between the existence of specific HR staff incentives and other process or performance indicators? Synergies: • Portfolio quality incentives correlated with lower PAR30 (average 3.2% lower) • Client retention incentives correlated with better client retention (average 4.3% higher) Trade-offs: • Growth incentives (“attract new clients from target market”) correlated with fewer borrowers per loan officer (average 66 fewer borrowers per loan officer)
  • 10. This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 10 Summary of SP-FP correlations Staff incentives Staff turnover Borrower retention rate Poverty targeting SP committee (SP champion) Productivity (borrowers per loan officer) - Portfolio quality (PAR30 and PAR90) + Efficiency (operating cost as % of portfolio) Synergy Trade-off Inconclusive
  • 11. This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 11 Select findings: staff turnover Research question: Is staff turnover correlated with efficiency indicators? Hypothesis: MFIs with higher rates of staff turnover will show higher operating expense ratios and lower borrower retention (previous MIX finding)
  • 12. ? This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 12 Summary of SP-FP correlations Staff incentives Staff turnover Borrower retention rate Poverty targeting SP committee (SP champion) Productivity (borrowers per loan officer) - Portfolio quality (PAR30 and PAR90) + Efficiency (operating cost as % of portfolio) Synergy Trade-off Inconclusive
  • 13. Hypothesis: MFIs with higher rates of staff turnover will show higher operating expense ratios and lower borrower retention (previous MIX finding) This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 13 Select findings: staff turnover Research question: Is staff turnover correlated with efficiency indicators? Synergies: • Staff turnover negatively correlated with borrower retention • Staff turnover positively correlated with PAR30 and PAR90 Trade-offs: • Staff turnover negatively correlated with average staff salary
  • 14. * Staff turnover rate is negatively correlated with average salary. This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 14 Summary of SP-FP correlations Staff incentives Staff turnover Borrower retention rate Poverty targeting SP committee (SP champion) Productivity (borrowers per loan officer) - Portfolio quality (PAR30 and PAR90) + + Efficiency (operating cost as % of portfolio) -* Synergy Trade-off Inconclusive
  • 15. This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 15 Select findings: borrower retention Research question: Is borrower retention correlated with efficiency or risk indicators? Hypothesis: MFIs with higher borrower retention will have lower risk profiles and have lower rates of staff turnover (previous MIX finding)
  • 16. ? * Staff turnover rate is negatively correlated with average salary. This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 16 Summary of SP-FP correlations Staff incentives Staff turnover Borrower retention rate Poverty targeting SP committee (SP champion) Productivity (borrowers per loan officer) - Portfolio quality (PAR30 and PAR90) + + Efficiency (operating cost as % of portfolio) -* Synergy Trade-off Inconclusive
  • 17. Hypothesis: MFIs with higher borrower retention will have lower risk profiles and have lower rates of staff turnover (previous MIX finding) This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 17 Select findings: borrower retention Research question: Is borrower retention correlated with efficiency or risk indicators? Synergies: • Borrower retention negatively correlated with staff turnover • No significant relationship found between borrower retention and PAR30 or PAR90 Trade-offs: • Borrower retention positively correlated with average staff salary (likely via staff turnover)
  • 18. * Staff turnover rate is negatively correlated with average salary and borrower retention rate is positively correlated with average salary. This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 18 Summary of SP-FP correlations Staff incentives Staff turnover Borrower retention rate Poverty targeting SP committee (SP champion) Productivity (borrowers per loan officer) - Portfolio quality (PAR30 and PAR90) + + Efficiency (operating cost as % of portfolio) -* +* Synergy Trade-off Inconclusive
  • 19. This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 19 Select findings: gender balance of management/board Research question: Do equality HR policies promote gender balance within an organization? (Are higher proportions of female board/staff correlated with gender differences in social or financial performance?) Hypothesis: MFIs with equality HR policies will have greater proportions of female board/staff. MFIs with more female board/staff will show better gender performance.
  • 20. ? This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 20 Summary of SP-SP correlations Staff incentives Staff turnover Presence of female staff Borrower retention rate + - Equality in HR policy Women’s outreach Synergy Trade-off Inconclusive
  • 21. Hypothesis: MFIs with equality HR policies will have greater proportions of female board/staff. MFIs with more female board/staff will show better gender performance. This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 21 Select findings: gender balance of management/board Research question: Do equality HR policies promote gender balance within an organization? (Are higher proportions of female board/staff correlated with gender differences in social or financial performance?) Synergies: • No significant relationship found between equality HR policies and gender balance • Weak positive correlation between female staff and women borrower outreach (LAC only) Trade-offs: [none]
  • 22. This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 22 Summary of SP-SP correlations Staff incentives Staff turnover Presence of female staff Borrower retention rate + - Equality in HR policy Women’s outreach +* * Weak positive correlation between presence of women in staff/board and higher women borrower outreach for LAC dataset only. We are currently performing this analysis for the global dataset. Synergy Trade-off Inconclusive
  • 23. This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 23 Select findings: poverty targeting Research question: Is there a correlation between (1) poverty reduction as a goal, (2) MFIs offering products designed specifically for the poor, (3) ability to report poverty data, (4) number of clients below poverty, and (5) provision of consumption loans? (What about with other financial/operational indicators?) Hypothesis: (1), (2), (3), and (4) will be positively correlated with each other and negatively correlated with (5).
  • 24. ? * Staff turnover rate is negatively correlated with average salary and borrower retention rate is positively correlated with average salary. This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 24 Summary of SP-FP correlations Staff incentives Staff turnover Borrower retention rate Poverty targeting SP committee (SP champion) Productivity (borrowers per loan officer) - Portfolio quality (PAR30 and PAR90) + + Efficiency (operating cost as % of portfolio) -* +* Synergy Trade-off Inconclusive
  • 25. Hypothesis: (1), (2), (3), and (4) will be positively correlated with each other and This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 25 Select findings: poverty targeting Research question: Is there a correlation between (1) poverty reduction as a goal, (2) MFIs offering products designed specifically for the poor, (3) ability to report poverty data, (4) number of clients below poverty, and (5) provision of consumption loans? (What about with other financial/operational indicators?) Synergies: • MFIs with a specific poverty target have lower PAR30 (average 2.5% lower) Trade-offs: • Reporting poverty levels negatively correlated with consumption loans • MFIs without a specific poverty focus are more efficient (average operating expenses/GLP 7% lower) and higher ROA (average 2.2% higher) negatively correlated with (5).
  • 26. * Staff turnover rate is negatively correlated with average salary and borrower retention rate is positively correlated with average salary. ** MFIs without a specific poverty focus exhibit a higher level of efficiency. This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 26 Summary of SP-FP correlations Staff incentives Staff turnover Borrower retention rate Poverty targeting SP committee (SP champion) Productivity (borrowers per loan officer) - Portfolio quality (PAR30 and PAR90) + + - Efficiency (operating cost as % of portfolio) -* +* +** Synergy Trade-off Inconclusive
  • 27. This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 27 Select findings: governance Research question: Do MFIs with a stronger level of board commitment to SPM demonstrate differences in process or performance indicators? Hypothesis: MFIs with standing SP committees on their board will show higher levels of SP outcome reporting.
  • 28. * Staff turnover rate is negatively correlated with average salary and borrower retention rate is positively correlated with average salary. ** MFIs without a specific poverty focus exhibit a higher level of efficiency. This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 28 Summary of SP-FP correlations Staff incentives Staff turnover Borrower retention rate Poverty targeting SP committee (SP champion) Productivity (borrowers per loan officer) - Portfolio quality (PAR30 and PAR90) + + - Efficiency (operating cost as % of portfolio) -* +* +** Synergy Trade-off Inconclusive ?
  • 29. Hypothesis: MFIs with standing SP committees on their board will show higher levels of SP outcome reporting. This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 29 Select findings: governance Research question: Do MFIs with a stronger level of board commitment to SPM demonstrate differences in process or performance indicators? Synergies: • Standing SP committees are positively correlated with borrowers per loan officer (average of 75 more clients)* Trade-offs: [none] * MIX’s desk review experience leads us to think that this difference is probably due more to the presence of an SP champion at the board level.
  • 30. * Staff turnover rate is negatively correlated with average salary and borrower retention rate is positively correlated with average salary. ** MFIs without a specific poverty focus exhibit a higher level of efficiency. This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 30 Summary of SP-FP correlations Staff incentives Staff turnover Borrower retention rate Poverty targeting SP committee (SP champion) Productivity (borrowers per loan officer) - + Portfolio quality (PAR30 and PAR90) + + - Efficiency (operating cost as % of portfolio) -* +* +** Synergy Trade-off Inconclusive
  • 31. This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 31 Key findings Human resources: • Staff incentives linked to portfolio quality and borrower retention associated with better outcomes in those areas • Higher staff turnover associated with higher risk (PAR30 and PAR90), with lower borrower retention, and with higher operating expense (average salary) Poverty targeting: • Poverty targeting associated with lower risk (PAR30) • Poverty targeting associated with lower efficiency/ROA • Client poverty reporting associated with not providing consumer loans Governance: • Strong board commitment to SP associated with better productivity (borrowers per loan officer)
  • 32. MIX Global and Project Partners MIX partners with a dedicated group of industry leaders: This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 32
  • 33. Microfinance Information Exchange Visit us on the Web: www.themix.org  www.mixmarket.org Contact us: info@themix.org Interested in learning more about MIX? Sign up to receive our free e-mail newsletters! Find us on Facebook Follow us on Twitter: @mix_market Regional Offices: Baku, Azerbaijan 44 J. Jabbarli st. Caspian Plaza I, 5th Floor, Baku, Azerbaijan Lima, Peru Jirón León Velarde 333 Lince, Lima 14, Perú Dakar, Senegal Villa n°4, rue YF-632, cité Ablaye Thiam Ouest-Foire, Dakar-Sénégal Hyderabad, India Road #12, Landmark Building, 5th Floor, Banjara Hills, Hyderabad 500034, India This presentation is the proprietary and/or confidential information of MIX, and all rights are reserved by MIX. Any dissemination, distribution or copying of this presentation without MIX’s prior written permission is strictly prohibited. 33 Headquarters: 1901 Pennsylvania Ave., NW, Suite 307 Washington, D.C. 20006 USA

Notas del editor

  1. These findings will be published this year in an upcoming MIX publication Does it make business sense to apply the standards and track these indicators MIX SP dataset has grown from around 200 MFIs with SP profile data at the time of MIXs 2010 study to nearly 1000 MFIs when the present study was conducted Adrian’s study: http://www.themix.org/sites/default/files/MIX%20Data%20Brief%207%20-%2016-11-10.pdf
  2. Just a snapshot that exemplifies the current state of SP reporting to MIX: lots of qualitative data and very little quantitative data. Although we have around 1000 active MFIs that have reported qualitative SP data to MIX, the number of MFIs reporting quantitative outcome data related to the goals they cite (in their qualitative data) is far lower. Part of the purpose of this study was to find ways of adding a business (i.e. performance-based) incentive to tracking social outcomes. However, our sample sizes for these indicators were simply too small to draw many meaningful conclusions.
  3. A lot of text but don’t focus too much on the text—it’s here because this presentation is going to be posted online but you can just kind of ignore the text and follow me Focus on a few findings and give a few examples Only results with 10% or lower significance are discussed
  4. A lot of text but don’t focus too much on the text—it’s here because this presentation is going to be posted online but you can just kind of ignore the text and follow me Focus on a few findings and give a few examples Only results with 10% or lower significance are discussed
  5. Highlights some of the idiosyncrasies in how we talk about this stuff: is paying staff more to keep borrowers around (and give staff a better quality of life) really a trade-off? Only results with 10% or lower significance are discussed
  6. Highlights some of the idiosyncrasies in how we talk about this stuff: is paying staff more to keep borrowers around (and give staff a better quality of life) really a trade-off? Only results with 10% or lower significance are discussed
  7. Only results with 10% or lower significance are discussed
  8. Only results with 10% or lower significance are discussed
  9. We have found a positive weak correlation between presence of women in staff/board and higher women borrowers outreach when we analyzed LAC dataset (we are re-running this analysis for the entire dataset as this indicator was skipped in the correlation analysis). In LAC the correlation appears stronger with women as loan officers or staff (and the dataset here is bigger as not all MFIs reported number of women in board and management). Only results with 10% or lower significance are discussed
  10. We have found a positive weak correlation between presence of women in staff/board and higher women borrowers outreach when we analyzed LAC dataset (we are re-running this analysis for the entire dataset as this indicator was skipped in the correlation analysis). In LAC the correlation appears stronger with women as loan officers or staff (and the dataset here is bigger as not all MFIs reported number of women in board and management). Only results with 10% or lower significance are discussed
  11. As in earlier cases, most of our significant findings were between FP and SP indicators Regarding link between poverty focus and PAR we can speculate that if you have a clear target market, you can design more tailored products for your clients and this has an impact on PAR Only results with 10% or lower significance are discussed
  12. As in earlier cases, most of our significant findings were between FP and SP indicators Regarding link between poverty focus and PAR we can speculate that if you have a clear target market, you can design more tailored products for your clients and this has an impact on PAR Only results with 10% or lower significance are discussed
  13. Only results with 10% or lower significance are discussed
  14. Only results with 10% or lower significance are discussed
  15. This does not mean MIX only endorses tracking these indicators (we recommend the USSPM) but this research is aimed at the skeptics who require a solid business case – here is evidence that SPM even matters from a purely business perspective Use data to confirm what we have been thinking The fact that we didn’t find correlation among SP indicators doesn’t mean such correlations don’t exist—our SP indicators are very high level/broad; there are likely strong correlations between more granular applications of MIX’s SP indicators (for example digging into client satisfaction beyond simply “borrower retention” or “client feedback mechanisms”) And actually the guidelines of the SPTF go far deeper than MIX SP indicators Poverty targeting – client segmentation Not discovering anything groundbreaking here—more reinforcing what is already MFI experience (If there are any MFI representatives out there who have experience with these associations, please share your experience)