Understanding the opportunity for MSME insurance: Evidence on MSME s risks and how they cope from 6 countries 4 November 2015 Jeremy Gray International Microinsurance Conference 2015 Casablanca, Morocco Making financial markets work for the poor
Presentation notes This presentation was delivered at the International Microinsurance Conference 2015 as part of a panel discussion entitled Servicing SMEs. The presentation draws on data and insights collected through the Making Access Possible (MAP) financial inclusion diagnostics conducted in Lesotho, Malawi, Mozambique, Myanmar, Swaziland and Thailand.
MAP identifies 5 target markets 73% rural $80 Irregular earners 69% rural $87 Dependents 91% rural $135 Farmers 59% rural $175 Self-employed 37% rural $220 Salaried workers Source: FinScope Lesotho, 2011; Malawi, 2014; Mozambique, 2014; Myanmar, 2013; Swaziland, 2011; Thailand, 2012
Proportion of target market residing in urban area compared to total population MSMEs have the second most favorable demographics after salaried workers for providers Salaried Workers = Red Self-employed = Blue Farmers = Purple Dependents = Orange Irregular earners = Grey 3.0 L = Lesotho Ma = Malawi Mo = Mozambique My = Myanmar Ma S = Swaziland 2.5 My 2.0 Mo L Ma My Ma 1.5 Mo Mo L Mo 1.0 S L S My L Mo 0.5 S Ma L Ma My 0.0 0.00 0.50 1.00 1.50 2.00 2.50 3.00 S Average income of target market as proportion of population average income Source: FinScope Lesotho, 2011; Malawi, 2014; Mozambique, 2014; Myanmar, 2013; Swaziland, 2011; Thailand, 2012
Proportion of target market residing in urban area compared to total population MSMEs have the second most favorable demographics after salaried workers for providers Salaried Workers = Red Self-employed = Blue Farmers = Purple Dependents = Orange Irregular earners = Grey 3.0 L = Lesotho Ma = Malawi Mo = Mozambique My = Myanmar Ma S = Swaziland 2.5 My 2.0 Mo L Ma My Ma 1.5 Mo Mo L Mo 1.0 S L S My L Mo 0.5 S Ma L Ma My 0.0 0.00 0.50 1.00 1.50 2.00 2.50 3.00 S Average income of target market as proportion of population average income Source: FinScope Lesotho, 2011; Malawi, 2014; Mozambique, 2014; Myanmar, 2013; Swaziland, 2011; Thailand, 2012
Average number of formal products and are the second highest users of formal financial products 2.2 2 1.8 MSMEs Salaried employees Farmers 1.6 1.4 Dependents 1.2 Irregular earners 1 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% % of adults with access to at least one formal product Source: FinScope Lesotho, 2011; Malawi, 2014; Mozambique, 2014; Myanmar, 2013; Swaziland, 2011; Thailand, 2012
However, low, irregular incomes and low education levels make them challenging to serve We work on daily cash; we can t afford a monthly budget As you are aware, I haven t done a lot of school, but I realize that my children can do better; all I need to do is to try and give them education Average MSME income ranges from $46 pm in Malawi to $568 pm in Thailand $175 64% of MSMEs have no basic education or only primary education 82% of MSMEs own a mobile phone 59% women 21% of MSMEs in Malawi also earn income from farming and 17% earn income as farm labourers The farming that I do is for both consumption and business Source: FinScope Lesotho, 2011; Malawi, 2014; Mozambique, 2014; Myanmar, 2013; Swaziland, 2011; Thailand, 2012
Motivation..but they are not all the same: An example from Malawi Primary education or less Ability Secondary education or more Struggling go-getters Driven achievers Entrepreneurs from aspiration Motivated to grow but most lack skills. 0.25 employees on average MK 157 457 Have both skills and motivation. 1.18 43% MK 566 750 16% 1% have insurance 7% have insurance Survivalist Reluctant entrepreneur Entrepreneurs from necessity Unlikely to ever be a major growth area 0.23 May have the ability to grow, but need to recognize potential 0.40 MK 133 433 33% MK 177 301 8% 1% have insurance 3% have insurance Source: MSME FinScope Malawi, 2012
Most MSMEs primary risks are personal 25% of MSMEs identified illness in the household as a major risk Risks faced 10% of MSMEs identified experienced the death of a main income earner in the household 11% the death of another household member as major risks 15% of MSMEs identified competition as a major risk $175 8% of MSMEs identified theft or loss of property as a major risk 15% of MSMEs identified drought, 12% harvest failure and 7% flooding as major risks experienced Source: FinScope Lesotho, 2011; Malawi, 2014; Mozambique, 2014; Myanmar, 2013; Swaziland, 2011; Thailand, 2012
% of MSMEs using different coping mechanisms And they don t use insurance: Coping mechanisms used across countries Swaziland Lesotho Myanmar Thailand Mozambique Avg 50% 45% 40% 35% 30% 25% 20% 15% 10% 5% 0% Without insurance MSMEs are less likely to pay back their loans because they need to use that capital to mitigate risks. Cut expenses Credit Savings Sold something Did nothing Insurance Source: FinScope Lesotho, 2011; Mozambique, 2014; Myanmar, 2013; Swaziland, 2011; Thailand, 2012
% of MSMEs using coping mechanism that experienced the specific risk % of MSMEs that experienced the risk The role of insurance to enable MSME growth initiatives: The example of Thailand Used savings Borrowed Cut down expenses Claimed insurance Sold assets Experienced 70% 15% of Thai MSMEs borrow from Specialised Financial Institutions (SFIs) and 14% from Village Funds, both at subsidised interest rates between 6% and 15% p.a. 35% 60% 30% 50% 25% 40% 20% 30% 15% 20% 10% 10% 5% 0% Death of main income earner Death of other HH member Illness within HH Drought Flooding Harvest failure 0%
Why? A lack of awareness? It is not good value for money Does not trust it or the companies Does not cover the risk I want covered I protect myself in other ways Uses own money if there is a problem We contribute any amount to buy all things needed [in the event of an unforeseen death]. Everyone in the village contributes something towards the bill. Insurance is for the rich people Have nothing to insure Does not know where to get it Does not see the need for it Cannot afford it Has never thought about it Does not know how it works Has not heard about it 0% 10% 20% 30% 40% 50% 60% % of MSMEs without insurance Source: Mozambique, 2014
A lack of (perceived) value? It is not good value for money Does not trust it or the companies Does not cover the risk I want covered I protect myself in other ways Uses own money if there is a problem Insurance is for the rich people I think my insurance is the village bank to which my wife belongs. Have nothing to insure Does not know where to get it Does not see the need for it Cannot afford it Has never thought about it Does not know how it works Has not heard about it 0% 10% 20% 30% 40% 50% 60% % of MSMEs without insurance Source: Mozambique, 2014
Thank You! Please contact us at Tel: +27 (0) 21 913 5910 E-mail: jeremy@cenfri.org
Annexure: Risks faced by MSMEs across countries 45% 40% 35% 30% 25% 20% 15% 10% 5% 0% Swaziland Lesotho Myanmar Thailand Malawi Mozambique Average Source: FinScope Lesotho, 2011; Malawi, 2014; Mozambique, 2014; Myanmar, 2013; Swaziland, 2011; Thailand, 2012
Average income of MSMEs (USD) MSME income as a percentage of population average income Annexure: Average MSME income across countries $600 180% $500 160% 140% $400 120% $300 100% 80% $200 60% $100 40% 20% $0 Malawi Swaziland Lesotho Myanmar Mozambique Thailand 0% Source: FinScope Lesotho, 2011; Malawi, 2014; Mozambique, 2014; Myanmar, 2013; Swaziland, 2011; Thailand, 2012
Annexure: Percentage of MSMEs that own a mobile phone Thailand Swaziland Myanmar Mozambique Malawi Lesotho 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% % of MSMEs that own a mobile phone Source: FinScope Lesotho, 2011; Malawi, 2014; Mozambique, 2014; Myanmar, 2013; Swaziland, 2011; Thailand, 2012
Annexure: Percentage of MSMEs with no basic education or only primary education Mozambique Myanmar Malawi Lesotho Thailand Swaziland 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% % of MSMEs with no basic education or only primary education Source: FinScope Lesotho, 2011; Malawi, 2014; Mozambique, 2014; Myanmar, 2013; Swaziland, 2011; Thailand, 2012