Archive for the ‘Rural Economy’ Category

Livestock as movable assets and financial collateral: Collected insights

Mama Mercy’s farm, Nyeri, Kenya (Photo: Niti Bhan, April 2013)

Following in the footsteps of Zimbabwe, Kenya has just passed a law on the use of movable assets as collateral for loans.

President Uhuru Kenyatta has signed into law a Bill allowing borrowers to use household goods, crops, live animals and even intellectual property to secure commercial loans in a move aimed at boosting access to credit.

This is an important move, because unlike Zimbabwe, the “Kenyan Movable Property Security Rights Act 2017 paves the way for the formation of a centralised electronic registry for mobile assets that financial institutions can use to verify the security offered.”

The implications for the rural economy, entrepreneurial smallscale farmers, and the informal trade sector are enormous, and I will take a deeper look and analyze the implications in subsequent posts. First, I will begin by collating the past decade’s writing on the role of livestock in household financial management, clustered broadly by theme:

 

 

On The Role of Livestock
The multifunctionality of livestock in rural Kenya ~ literature review
“households will treat livestock similarly to a savings account or stock portfolio and typically (and perhaps reluctantly) only sell livestock to cover cash shortfalls when certain necessary expenditures arise”
The Role of Livestock Data in Rural Africa: The Tanzanian Case Study
Only provides evidence of the importance of investing in same
The role of the cow as an investment vehicle in India: Insights on Return on Investment

 

 

Emerging Futures Lab Original Primary Research
The Prepaid Economy project 2009: Original research on rural economic behaviour (IDRC & iBoP Asia) – Part 1
Observations & analysis of rural household financial behaviour – Part 2
Synthesis & Insights on rural economic behaviour – Part 3
Visual documentation from Philippines, India, and Malawi – Part 4
Rural Bottom/Base of the Pyramid and their cash economy

 

 

Application of insights for innovation in Kenya
Component parts of the rural, social economy
Seasonality as a factor in livestock export trade finance
Rural Kenya’s livestock and produce markets are a complex, economic ecosystem
Affordability, pricing strategy, and business models
Livestock’s role in path to upward mobility
From the individual to the community: the rural economic ecosystem (Dec 2013)
Importance and value of the informal food market
Creative ways to financial inclusion, by Michael Kimani

 

 

To Read More: Use this tag “movable assets” for all forthcoming analyses, and you can find a decade’s worth of my original research on informal economy, prepaid business models, literature reviews and ethnography here. The entire subject can be found under the category “Biashara Economics“.

A matter of timing: seasonal opportunities

IMG_7354

Temporary stall for festive goods (Photo: Niti Bhan, March 2017)

These stalls full of water pistols and balloons sprouted overnight a couple of days before the spring festival of Holi (March 13th 2017) – these vendors are neither local nor regulars in the market complex. They’re here to offer seasonal products and might even have been invited by the local shopkeepers to provide attractive temporary displays not unlike festival shopping at the mall.

IMG_7356Seasonal opportunities for special offers and custom products are not to be missed chances for a boost in sales. India’s FMCG majors can’t afford to ignore the seasons that guide the cash flow for the majority in the informal and rural economies over the course of the natural year.

Exploring the Scope of Biashara Economics

biashara2There’s a dearth of research on the economics of biashara – the everyday commerce that keeps daily life running. And this hampers the efficacy of the design of programmes and policies meant for operating environments where the informal economy may be providing employment for more than half the working age population, and often, as high as 80 to 90% – India is at 92%, just for context.

This is not yet a literature review, although that is next on my list. It’s an attempt to capture the realization, while reading a couple of fascinating articles on the South African township economy, that the underpinnings of the informal retail and trade economy were not themselves the subject of research.

We stand firmly on the shoulders of giants, I realized, when reading these papers, though they maybe few in number. Without John Keith Hart’s body of work, none of us would be here, not even the “informal economy” –  the label itself attributed to his work in Ghana in the early 1970s. And without Martha Alter Chen’s rethinking of the informal economy, I wouldn’t have taken the path that I have this past decade.

…as long as you lump together the activities of the people like selling hotdogs door to door (although buying it from a wholesaler informally), distilling wine for the village, keeping small shops within walking distance when towns are far away or even urban services ranging from garbage disposal to dishwashing to repairing shoes – with the “firms that are hiding from formal regulations and don’t want to pay taxes etc” any formal programs or activities, whether from the social and economic development angle or the corporate profitability angle are going to act at cross purposes.

Martha Alter Chen writes in “Rethinking the Informal Economy” that India stands out as an example where the informal economy has been accepted, acknowledged and now slowly being addressed by government policy. Not in order to dissolve it or remove it but to work with it simply because the incomes of far too many people are dependent on it and no formal systems can be put into place to take care of each and every corner of the country nor her billion citizens.

One can then take what seems to be working, called “creative, resilient and efficient” by Hart, quoted by Chen, and enable systems that support it further, fostering development and increasing success rates at the touchpoints where the informal and formal meet.

So, it is with their distant blessing I will also put forth all that we’ve uncovered about the economics of informal trade and commerce, in the context of the various existing studies which overlap and provide us with insights or confirmation on our own findings. Including the tag “biashara economics”; I’ve now created it’s own category.

Implicit Assumptions commonly held about Informal Markets

Mozambique

Woman owned and managed informal retail in Mozambique via Twitter

  1. “Informal Economy” always means illegal, shadowy, gray.
  2. High volume of low value cash transactions imply poverty, ignorance, lack of sophisticated money management.
  3. Operating with a lack of infrastructure and institutions implies ignorance, lack of ambitions and aspirations, and motivation.
  4. Lack of cash implies lack of purchasing power – particularly in rural settings.
  5. Lack of formal retail markets and packaged consumer goods implies lack of knowledge, information, and choices.
  6. Lack of competition, due to all of the above.
  7. Entering markets where informal retail dominates will be a cakewalk.

Bridging East Africa’ formal – informal financial services divide

Kenya’s formal inclusion looks pretty, the financial inclusion industry has been has been great at talking up its achievements over the past 10 years. Here, 75.3% of Kenyans are now formally included, a 50.3% increase from 19 years ago. Official statistics on mobile phone penetration is up to 80.5% of the population and there is general consensus, the mobile phone has been central to expanding formal financial services to the – unbanked and under banked. The numbers are pretty awesome.

In February, FSD Kenya’s chart of the week featured an interesting pattern.

 

source: http://fsdkenya.org/data-visualization/chart-of-the-week-credit-in-kenya-how-big-are-loans-on-average/

source: http://fsdkenya.org/data-visualization/chart-of-the-week-credit-in-kenya-how-big-are-loans-on-average/

 

The red line marks the axis between the formal (prudential) and informal financial services alternatives. The largest source of credit for the bottom 40% populate the informal segment – SACCOs ,MFIs, Peer to peer, community groups. Dotting the top in blue are the banks and mobile banking lending products Mshwari.

So, there is more going on besides what the numbers say about formal financial inclusion.

 

Appreciating the informal sector’s financing alternatives

I got a sense of this gap between what the reports say and what was on the ground in 2015/2016 as part of 2 immersive fieldwork projects – Nyeri Mama’s Financial Diaries and later same year as part of Borderland Biashara: Mapping the cross border, national and regional trade in the East African informal economy project. I got to meet and spend time with biashara people, mama biashara, informal traders at the borderlands, boda boda guys, brokers and 65 year old Wangari – all in their natural setting – the mostly rural and cash intensive informal economies at the borderlands.

I found out that 90% of them had a basket of alternative credit, investment, insurance and savings informal financial products at their disposal – up to 8 different volatility management groups. The flavor of these alternatives ranged from extreme formal prudential to extreme informal.

Wangari, from Nyeri, for example, did not have a bank account but, was part of

  • 1 Micro-finance bank,
  • 2 Cooperatives
  • 1 ROSCA (Rotating Savings and Credit Association
  • 1 Chama (savings group)
  • a Catholic church group and
  • a modest Nokia mobile phone with Mobile wallet (Mpesa) and mobile wallet bank (Mshwari)

At the borderlands of Busia and Malaba between Kenya and Uganda, close to 96% of 100 biashara interviewees were part of at least 3 savings groups, besides their mobile phone. There was almost always one savings group that was part of their trade or craft networks.

 

Bridging the Gap

system-monster

When we look at the under banked strictly through the lenses of a bank, we miss out on the rich diversity of community bank-like products at their disposal. When their options are labelled informal, the tone becomes one of expanding the larger banking formal system, at the expense of our dear Chamas.

My suggestion for the present day efforts to push towards financial formalization, is to instead transform into a pull towards formality. Is there a middle ground? Where we can have the rich of the Chamas and savings group together with the formal financial system? Or where we can have a blend of the rich of the savings groups with technology?

Yes, we can, and there are examples from East Africa’s Kenya and West Africa’s Chad

  • Equity bank directly engages registered savings groups at the Busia Malaba border, a trader’s Chama.  A credit officer from a local branch attends weekly meetings with the group, and liaises between Equity Bank and the Chama. The bank facilitates loans guaranteed by the group as a unit. 

“Muranga county seeks to ease unemployment with cow loans”Daily Nation

  • Ng’ombe loan, by Muramati and Unaitas SACCO, was an unconventional loan product much closer to the realities of a rural Muranga. Youth in this county received high-yielding, pregnant dairy cows on credit, and were to repay the loan through milk deliveries to processors. An expectant cow as the loan principal, with repayments priced in daily milk deliveries. How cool!

“TigoPaare – People’s Banks for Communities across Africa”Balancing Act Africa

  • In Chad, Paare are the equivalent of Chama group savings plans in East Africa. TigoPaare is a group wallet that adds a ‘group layer’ on top of standard mobile money, to deal with common funds, trust and other group initiatives. The wallet helps informal cattle trades look after their income from cattle sales, with the functionality to make loans to members. The pilot attracted 19,000 users, including community mutual funds, cotton producers cooperatives, churches, market sellers and women’s groups.

 

 

Time to reach consensus on the #informaleconomy debate

As yesterday’s post showed, the unforeseen outcome of India’s demonetization initiative on the rural cash economy arose due to the lack of disaggregation of all that tends to get lumped together under the umbrella label “informal”. Segmentation would lead to more impactful design of policy and programmes.

WIEGO has an excellent review of the academic debates on the informal economy, covering the competing schools of thought. There is the Shadow Economy with its tax evasion and under reporting vs the livelihoods of the poor struggling to make a living in adverse conditions.

From WIEGO:

In 2009, Ravi Kanbur, Professor of Economics at Cornell University, posited a conceptual framework for distinguishing between four types of economic responses to regulation, as follows:

A. Stay within the ambit of the regulation and comply.
B. Stay within the ambit of the regulation but not comply.
C. Adjust activity to move out of the ambit of the regulation.
D. Outside the ambit of the regulation in the first place, so no need to adjust.

Under the Kanbur framework, category A is “formal.” The rest of the categories are “informal,” with B being the category that is most clearly “illegal.” (Kanbur 2009). […] Kanbur argues that using a single label “informal” for B, C, and D obscures more than it reveals – as these are distinct categories with specific economic features in relation to the regulation under consideration.

While acknowledging that it is useful to have aggregate broad numbers on the size and general characteristics of the informal economy, Kanbur concludes that disaggregation provides for better policy analysis.

So, why do we continue to wave our hands over the whole thing and conflate the legal with the illegal?

These distinctions are all well and good to debate in the cozy conditions of a seminar room without needing to come to any consensus, but as the human and economic cost of demonetization in rural India becomes clear, particularly the impact on the planting season, it puts a spotlight on the shortcomings of the way the rural and cash economies are currently dealt with. A pragmatic conclusion is urgently required.

My literature review on the past 20 years of research on the informal trade sector in Eastern Africa showed that this lack of distinction between what was shadow (B) and what was merely below the radar of the regulations (C &D per Kanbur’s distinctions above) gave rise to the criminalization of even the smallest livelihood activities of the local tomato seller who might cross a border to get a better price for her wares.

This in turn led to their harassment – particularly financial and sexual – by the authorities as there were no counteractive regulations in place that recognized fulltime crossborder trade as a licit occupation or profession.

What will it take for this to change?

India’s current experiences provide ample evidence of the dangers of leaving this untouched.

Unforeseen outcomes of India’s demonetization shine light on the value of our design philosophy

Informal Economy, Market Analysis and SegmentationLatest news on India’s demonetization informs us how the rural economy is bearing the brunt of this initiative.

The action was intended to target wealthy tax evaders and end India’s “shadow economy”, but it has also exposed the dependency of poor farmers and small businesses on informal credit systems in a country where half the population has no access to formal banking.

The details shed light on the consequences of implementing interventions without a holistic understanding of the landscape of the operating environment. In this case, it is the rural, informal cash intensive economy.

…the breakdown in the informal credit sector points to a government that has failed to grasp how the cash economy impacts ordinary Indians.

“It is this lack of understanding and not appreciating the importance of the cash economy in India on the part of the government that has landed the country in such an unwarranted situation today,” said Sunil Kumar Sinha, an economist and director of public finance at India Ratings.

This lack of understanding the dynamics of the cash economy (I don’t mind calling it the prepaid economy, in this context) and it’s role in the rural Indian value web has led to unforeseen challenges at a time when farmers are planting seeds for the next harvest, hampering the flow of farm inputs as traditional lines of credit face the obstacle of an artificial shortage of liquidity.

I want to use this clear example of systems design failure to explain my philosophy and approach to our work in the informal economies of the developing world. I’ve written often enough about what we do, now I have an opportunity to explain why we do it, and why it’s important.

Read On…

Analysis of the mobile phone’s impact on cash flows and transactions in the informal sector

As we saw, Mrs Chimphamba needs to juggle time and money as part of her household financial management in order to ensure that expenses can be met by income. We also saw that the mobile phone was made viable and feasible by the availability of the prepaid business model that gave her full control over timing and the amount required to maintain it — how much airtime to purchase? when? how often? — all of these decisions were in her hands, within the limits of the operator’s business model. Now, we’ll take a closer look at the impact of the mobile on her domestic economy.

Readily available real time communication has helped Mrs C by speeding up the time taken for a decision on a purchase or a sale. That is, the transaction cycle has been shortened. As the speed of information exchange increases, it increases the speed of transactions — it shortens the duration of time taken to execute them from inception to completion. This, in turn, implies that more transactions can now take place in the same amount of time thereby increasing the frequency and the periodicity. When mobile money is present, one can see that as both quantity and frequency of transactions speed up, so does the cash flow. We’ll come back to this factor.

To explain using a real life example, Mrs Chimphamba does not need to sit at her homestead wondering if today someone will pass by to purchase a bottle of wine. Similarly, Mrs C’s customers do not need to go out of their way to pass by her homestead to see if the wine is distilled and ready for sale, or whether it will still take another day or two for the next batch to be ready. Further, the uncertainty of whether they’ll have cash on hand on that future day, or if they’ll return as promised are all elements that real time communication have minimized.

Now, Mrs C is able to let her regular customers know that she’s making a new batch for sale and do they want to reserve a bottle for purchase? It allows her customers to put aside cash for this purchase. She is even able to accept and execute larger orders for some future date, and even accept some cash advances if her operating environment includes the presence of a mobile money transfer system such as those more prevalent in East Africa. This in turn changes her purchasing patterns and decision making as the pattern of cash flows — timing and amount — changes. She isn’t making do anymore on an unknown and predictable sale based on sitting and waiting for someone to show up to buy her wine.

Real time communication has improved the decision making cycle for both buyer and seller in a transaction as it counteracts uncertainty and information asymmetry even while speeding up the time take for a decision.

As the quantity and frequency of transactions increase— first, in cash conducted face to face, and then later, remotely by mobile money, regardless of the size of each transaction — the change in cash flow patterns begins to smooth out the volatility (the uncertainty factor has changed completely) between incoming and outgoing, as well as the decisionmaking involved. That is, the gap between income and expense starts becoming less in terms of both timing and amount — there is the possibility of a steady stream in the pipeline. Calculus offers hints of how the curve can begin to smoothen out as frequency and periodicity of transactions begins to accelerate.

Size of transactions thus begin to matter less in that the incoming amount now does not need to be so large as to cover expenses for an unknown duration of time before the next incoming payment; nor do expenses have to be tightly controlled constantly due to the uncertainty of the duration of time before the next payment, and the types of expenses incurred during this unknown period of time.

So the boost in decision making — how long it takes to complete a transaction, how often can transactions be completed — enabled by the real time communication facilitated by the mobile phone; plus the attendant immediacy of receiving payment via the same platform is the root of the improvement in the hyperlocal economy and consumption patterns among the informal sector actors. This is why large established traders (with sufficient financial cushion) were heard to observe that both purchasing power and consumption patterns had changed in their market town (Busia, Kenya Jan 2016) in the past 10 years since first the mobile phone, and later, mPesa, were introduced into their operating environment.

Uncertainty and information asymmetry that have long characterized the fragile and volatile nature of the informal sector operating in inadequately provided environments with unreliable systems and scarce data. In the next chapter we’ll step back and take a broader look at communication, connectivity, and commerce in the informal economy starting with the description of the operating environment’s characteristics regardless of continent.

This is part of a newly launched Medium where I will write in detail on economic behaviour and its drivers in the informal economy. Much of it draws upon the original research in the field from 2008-2009 which was shared on the prepaid economy blog. I found that time had passed and increased my understanding and I wanted to explore those discoveries in writing. Much of this is the foundation for recent works on ‘Mama Biashara‘.

Poverty is Dynamic and Flexible, Just like the Informal Economy: Evidence from India

…the concept of poverty today is fundamentally different from that of poverty three decades ago, and that safety nets need to be tailored to meet the needs of a society in transition.~ The Hindu, 2 Aug 2016

When quantitative data provided by the India Human Development Survey (the first large panel survey in India) provokes the academics involved to question their fundamental assumptions and premise of what poverty is, and what it might mean, its a noteworthy moment.

The survey, conducted by the University of Maryland and the National Council of Applied Economic Research (NCAER) for the same households at two points in time, viz. 2004-05 and 2011-12. Their analysis has led them to say:

Once we recognise that poverty is dynamic in nature, and that as per our conventional definition of poverty, poor households may move out of poverty and the non-poor may become poor over a period of time, we are forced to question the veracity of our fundamental assumptions about poverty. Perhaps poverty occurs not simply due to the accident of birth or as defined in terms of where and in which family people are born, but also due to the accident of life caused by the occurrence of disease, disability and unemployment. Achieving this recognition entails a complete transformation in our mindset.

I will leave them to their explorations from the perspectives of their disciplines, and explore the broader implications of their findings.

A few years ago, as part of my discoveries from more qualitative user research in the field on the informal sector’s financial context and operating environment, I had had my insight on the dynamic nature of poverty as it was conventionally defined.

It was when attempting to clearly distinguish between patterns of cash flow in the formal vs the informal economy, using the concept of the degree of control granted to the end user over the variables of time (duration, frequency, periodicity) and money (amount, cash or kind), that it struck me what kind of difference does control over timing mean for money.

That is, there is a complex value processing underneath each of the decisions on allocating available cash money, particularly in rural areas where cashless transactions can tend to be more common.

When one can control the timing of one’s payments – such as the advance purchase of airtime minutes to use a mobile phone – one’s income could be called dynamic. Within any particular set of calender based time eg a week or a month or a quarter; a vast majority of the lower income bracket cannot predict their total cash income nor feel confident enough to claim it. It can be affected by seasonality prevalent in their region, or it can be purely random volatility, one’s workshop burns down in an accidental fire.

Static income is that which is stuck, such as a fixed salary paid every calender period, regular in frequency, amount and periodicity.

As cash flows tend to be volatile, fluctuating with seasonal influences, chance, and the vagaries of daily life, those whose incomes are not as predictable as a periodic paycheck, are more often than not unable to clearly state (or even know) their monthly or weekly income.

That is, even as data gurus in development banks seek to segment people into neatly defined ranges such as $2 to $4 a day or whatever, it is neither a given that people will remain within this range over the course of the natural year, nor can it be a reliable and consistent indicator of their income level – Below Poverty Line (BPL) is the concept used in The Hindu’s article above.

Therefore, if the survey studied households in an agricultural region during its fallow season the first time, and then went back to study the same households during the post harvest season the second time, that simple little factor of calender time alone can create a difference of as much as 100% to the incomes being claimed during that period. If the study does not follow up the income question to ask if there was seasonality in their cash flows over the course of the natural year and if this question was being asked during the high season or the low season.

When I did the original fieldwork for the prepaid economy project on an IDRC grant, looking at the rural household financial management behaviour in rural India, Philippines, and Malawi, I found that depending on the local region’s primary cash crop harvest patterns over the natural year (say monsoon to monsoon, or Christmas to Christmas) the entire local economy felt the impact of the difference in cash flowing through their ecosystem during the high and the low season. Or, the wet and the dry season.

It was not the naming of the seasons that is important. It is the ability of the people to forecast known fluctuations in their income streams based on patterns recognized from experience and local wisdom. Within the context of an environment of uncertainty and volatility, it offered them some anchors for planning and financial management.

Given that the vast majority of the poor in the developing world, like in India and across Africa, are dependent on irregular, often unpredictable cash flows from a variety of sources, in an environment of higher risk and uncertainty, their incomes can confidently assumed to be dynamic, rather than a static salary.

And the dynamic nature of the informal sector precludes conventional classifications and categorizations of poverty, especially by any stated amount of money mapped against a particular duration of calender time. Time and money are themselves the uncertain elements requiring flexibility built into the systems if they are to work properly in this operating environment.

Thus, I can confidently state that what the Indian data is finally providing the evidence for are the findings from my qualitative research among the same segments of the population, using design ethnography methods. That is, we now have the quantitative data to support the insights derived from the qualitative research.

Full Stop.

People-centered systems design thinking out loud

feature_jaimeThis morning I was pondering the complexity involved in weaving together four separate threads of ‘innovation’ into one holistic system. They were not unrelated to each other, and the end users are more or less the same for each, but each is also a standalone solution to a pain point in an ecosystem. I was tinkering with the idea of trying to knit them into one – would it be far too complicated, both to implement, and to develop conceptually? Or, would the complexity be worth the additional headaches because the outcome would be well worth the effort of integration into a holistic and seamless concept?

From the product development point of view, the research question is whether an integrated, seamless solution is more viable and desirable than four standalone solutions developed by individual teams, in parallel, within the same ecosystem, and for the same target audience. Feasibility is the question being evaluated, from the value for money perspective. Of course it could be tried, that’s the beauty of design – one attempts to build prototypes to test one’s paper based theories to see if they break in the real world. But was it worth the time and resources to build the prototype in the first place?

It was while grappling with this minuscule yet wicked problem that I was reminded of a gentleman I once heard speak at the Better World by Design conference in Rhode Island about 8 years ago. Jaime Lerner is very well known to urban planners and city designers, I’m sure, but perhaps not as familiar a name to the rest of us. He conceived the idea of the city as a living, breathing, organic system – a turtle, as you can see in the diagram above. Life, work, movement, are all integrated together.

While the systems design challenge I’m pondering is more technology based, as is usually the case in today’s world, and not a cityscape, I believe that one can take away some powerful insights from Mr Lerner’s philosophy for design planning for a complex human ecosystems. In this context, its the informal and rural economic system prevalent in the developing world. Not unlike Brazil, where Mr Lerner perfected his vision.

Commerce in the informal sector is a living, breathing, organic ecosystem made up of human beings in flexible, negotiable, and thus, reciprocal relationships with each other. Much of the groundwork for this conclusion can be discovered in the reports linked to here. If we set aside the cityscape, and consider the essence of Mr Lerner’s philosophy, we see that his three key concepts are life, work, and movement.

In the context of the informal valueweb, movement could be considered with far more layers of nuance than simply transportation or mobility as one would in the context of urban planning. And, in the context of an ecosystem, it could be stretched to cover the flows of value in between the nodes in a value web – these we’d earlier identified as information, goods, services, and currency. That is, movement is the lifeblood of the organic network, the transactions that take place, and most importantly, the element of give and take which distinguishes human to human interactions.

Thus, if we were to step back from the design of the details of such a complex human interaction system, we too could conceivably think of it as living organism – perhaps not a turtle, which is a better metaphor for a city; perhaps there’s some other metaphor waiting for us to stumble over. In the meantime, I do wonder if we have the underlying philosophy for the design of complex, interdependent human interaction systems?

 

Previously.