Archive for the ‘Income’ Category

Signs of Interdependency between the Formal and the Informal Economy

bridging economiesThere is a lot to be unpacked here – I made a mindmap of the urban African entrepreneur who is the backbone of the visible emergence of a consumer class. I’m drawing from my experience of the Kenyan context. I started this in response to Michael Kimani’s Storify recently on the mythical “middle class” and the African consumer market.

We know that this demographic, regardless of the efforts to label it “middle class”, is quite unlike the traditional bourgeoisie that built the developed world a century ago. We can call them the informal bourgeoisie – solid members of society who nonetheless break stereotypes of the white collar, university educated, salaryman.

More often than not, they are entrepreneurs and businesswomen, traders and makers, and workshop owners, who bootstrap their lines of business through the traditional means available amongst what is still called the informal economy. If they’re lucky they might have finished high school, or even graduated from university, but a degree is not a prerequisite as it might be in a private sector job.

In this post, I’m only going to write about something that struck me last night when I was staring at the mindmap. The line that links business to entrepreneur can also be considered a bridge between the informal economy and it’s business practices, and the upcoming formal markets of urban population centers.

The successful workshop owner or regional trader rapidly acquires the signals of his or her business success in the form of consumer goods and increased expenditure on staples and necessities, including upgrades to choice of schools and church. I believe that formal financial services and products such as bank accounts, credit cards, and various apps on a smartphone are part and parcel of this.

In effect, the entrepreneur is the link between the informal economy which provides employment and income to the vast majority, and the burgeoning formal sector in consumer facing services and products.

The formal economy is more likely to be dependent upon the health of the informal sectors than the reverse.

This interdependency, and relationship, is important. I will be coming back to this diagram again to unpack more of what I’m seeing here. For now, it’s enough to have figured out that initiatives meant to eradicate the “pesky” informal trade might have greater implications than initially assumed.

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…

Insights on the psychology of cash money – Demonetization vs Financial Inclusion

moneyThe flurry of commentary on the Great Indian Demonetization of November 2016 has thrown up some nuggets of insight worth considering more deeply.

Santosh Desai explores the psychology of cash money in the Times of India blog, linking the need for tangible evidence of income to physical labour, as opposed to those of us with the contextual knowledge to understand the virtual concept i.e. digital currency.

“…there is another aspect of this situation that needs more reflection- the nature of the relationship we enjoy with cash. Cash is not merely a symbolic representation of value. Cash is the idea of value captured and owned. It is the product of labour that is an entity by itself and becomes much more than what it can buy. Sitting on a pile of cash gives pleasure both metaphorical and real.”

“…there is some value that is placed on the device of currency notes over and above the value that it signifies.”

This aspect has not been looked at deeply enough, imho, when financial inclusion is talked about, particularly in the context of digital solutions. I suspect that therein will lie behavioural insights that could conceivably drive design changes that lower the barriers to adoption in the strategies to introduce digital currencies and mobile monies to hitherto unbanked populations.

Earning money needs to be signified concretely. Those whose life’s earnings are in the form of a few high value currency notes, do not decode demonetization in quite the same way as those used to money in its conceptual form. The idea that it is possible to de-legitimise their life’s labour is to shake the foundations on which one’s life is constructed. What if some money is not exchanged? What if some paperwork, that bane of those living on the margins, is incomplete?

What if the mobile phone’s battery dies? Do my hard earned monies disappear like other unsaved data?

Trust in technology is a function of our contextual knowledge – our immersion in an environment saturated with electronic communication and screens of all types and purposes provides us with conceptual frameworks that are entirely different from someone whose daily labour is on the farm, or at a mechanic’s garage.

While those who are financially excluded might not face demonetization i.e. the de-legitimization of their labour, as Desai mentions above, the current attempts to convert their cash intensive habits into digital form via various “cashless” initiatives overlook the psychology of cash. Regardless of locale, those at the margins (the excluded) have high levels of mistrust in the system, through their experiences with institutions and the system, over time and history.

The talk of ‘cashless’ is easy, but it ignores that there is a cultural dimension to the physicality of cash. Digital wallets operate on a transfer of intention, where a promise to pay gets converted into an intention to buy. For this to work at scale, one needs to have become comfortable with the idea of surplus and develop the confidence that money will come without having to struggle or having to think about it all the time. One needs to develop trust in institutions, in a context where the evidence around is overwhelmingly to the contrary.

I suspect that if this subject was explored further, we would discover that where mobile money has succeeded, such as in East Africa, the institution that was trusted was the telco – the mobile service operator, and that the early stages of adoption have a different narrative from that being used currently in entirely new markets where mobile money still struggles to penetrate. India and South Africa are two such places where the unbanked and the financially excluded have reasons of history to develop high mistrust of the systems of the privileged.

To convert one’s worth into worthlessness, even if for a small period is to make everyone nervous. Psychologically, money works on a convention of mutual deception. We agree to call something money, and that is good enough. But to have the thinness of this convention exposed in such a way is to cause great anxiety.

The transition to a cashless future can be made gentler and more accommodating to their fears and concerns, generating a sense of security and commitment, with some empathy for an entirely different world-view and life experience.

Detailed breakdown of Uber’s business model in Kenya puts spotlight on weaknesses

Latiff Cherono has just published an indepth analysis of what exactly it takes for an Uber driver in Nairobi to cover the cost of doing business. Here’s a snippet,

In this post, I try to understand the root cause of the disconnect between how the customer (who defines the value), Uber (the service that controls the experience) and the driver (the one who provides the service).

He accompanies his analysis with a detailed breakdown of costs and revenues, such as the table below, and others in his post.

new-picture-2And concludes:

The incentive for any person who starts a business is to maximize their profits. As such, we should expect that Uber drivers will approach their business in the same vein. However, the data provide by Uber to the driver is limited and prevents them from making informed decisions about generating revenue. For example, drivers do not know the estimate distance of a new trip when they accept it via the app. They are also penalized for not accepting rides (even if that trip may not make financial sense to the driver). All this is by design as Uber wants to maintain a steady supply of “online” vehicles on their network. One may argue that Uber is not being transparent enough with its independent contractors.

My thoughts:

Nairobi, Kenya isn’t the only ‘developing’ country context where Uber is creating unhappy drivers (and customers, one assumes) due to the design of their system. While most of the first world challenges to the company have come from the perspective of the formal economy and its regulations and laws regarding revenue, tax, employment status et al, the same cannot hold for the entirely different operating environment where the informal sector holds sway. And taxi driving is one such service.

Kampala, Uganda has it’s own challenges for Uber, including:

  • Uber drivers are reportedly leaving the service, switching off the Uber apps or not picking calls from corporate clients and those paying with a credit card. For the first four months after its launch, Uber was offering drivers incentives that saw them earn between Ush200,000 ($57.1) and Ush350,000 ($100) a week.
  • With increasing competition, drivers say that Uber’s incentive structure has been changing. In the first four months, Uber drivers were getting Ush15,000 (about $4) per hour, but this has since been scaled down to Ush10,000 ($2.9) and to Ush4,000 ($1.1) in incentives.

There is so much to be unpacked here, including the entire section on Uber’s own perception of how the market works, upto and including how to introduce time limited incentives, that I’ll follow up on it subsequently.

In this post, I wanted to highlight Latiff’s analysis and hard work pulling together the operating costs data, even as I leave you with this snippet from the article:

Uber’s commission in Nariobi was reduced from 25 to 20 per cent following protests by drivers in August, accusing the taxi hailing service of working them like slaves.

As I wrote earlier in the year, Uber could have done so much more in these markets, particularly on the path to formalization. Instead, they’re continuing on their journey as yet another smartphone app making life even easier while squandering the potential for real world change for the less privileged members of our societies.



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‘.

How to Spot Signals of Local Purchasing Patterns in the Market

np-md-mohamed-kanuThis photograph is taken from a regular news item from a Liberian newspaper announcing the opening of a new petrol station in the town of Ganta. What caught my attention is the size of the LPG cylinders being promoted. On the left is the 6kg and on the right is an even smaller size that I’ve yet to see elsewhere – the 6kg one has been spotted in the lower income side of Jakarta, and in the markets of Abidjan, and Nairobi.

What it tells me is that purchasing power in the local market is not only a little less than a major capital city, this is probably a tier 2 city, but also that its a cash intensive market where incomes are more likely to be the volatile cash flows from commercial activities in the informal sector.

The lumpsums available for LPG aren’t going to be as large as to afford the standard 13kg size, but it doesn’t preclude people from purchasing these smaller sizes more frequently. That is, we cannot assume total consumption volumes to be less than larger cities where larger sizes are more popular. On the other hand, the micro size on the right seems to hint at the possibility of LPG being more popular than traditional fuels such as kerosene, charcoal, or firewood.

These small sizes also signal a fragmented, informal market where small pack sizes and sachets are popular.

Africa’s Middle Class: Development economics and marketing demographics conflating the holy grail

The most developed nation on the African continent, south of the Sahara desert, is considered to be South Africa with its financial and transportation infrastructure and systems, a legacy from history. In the first decade of the 21st century, the black middle class – known as Black Diamonds in marketer jargon – came into prominence on the back of numerous economic initiatives after the fall of apartheid.

img-south-africa-consumer-goods-02The rise of the Black Diamonds was meant to be the signal of a changing rainbow nation, one whose peoples would finally be included in the social and economic advancements long enjoyed by a privileged minority. This emerging middle class was also among the first to be noticed as African consumers in their own right, and their discovery pioneered the subsequent search for the now mythical African middle class. Even then, their total number was under scrutiny for its aspirational inclusivity versus actual households fitting the conventional definition of a middle class. From The Economist writing in 2007:

The University of Cape Town’s Unilever Institute of Strategic Marketing says there are now 2.6m “black diamonds”, as it calls the black middle class, a 30% increase in less than two years. Included in the definition are working professionals; those who own things such as cars, homes or microwave ovens; university students; and those who merely have the potential to enter these categories. The survey estimates that these black diamonds represent 12% of South Africa’s black adults, and make 180 billion rand a year ($26.2 billion), or 28% of the country’s (and more than half of all black South African) buying power.

For some, such as Lawrence Schlemmer, a sociologist in Cape Town, this definition is far too broad to be meaningful. He agrees that numbers are rising fast but argues that they are still tiny. Last year, he says, only 322,000 black South Africans (less than 1% of the black population of 38m) could be deemed “core” middle class, a far cry from 2.6m black diamonds.

Still, whatever their size, the buppies are affecting the economy and the political landscape.

This week, a comprehensive new survey by the South African government shows the on the ground reality in 2016. The National Income Dynamics Study (NIDS)‚ launched by the Department of Planning‚ Monitoring and Evaluation (DPME) in Pretoria surveyed 28‚000 people who were tracked every two years from 2008 to 2015. Very similar in fact to the recent household panel survey completed in India. Even their conclusions resemble each other:

According to the study‚ those in the middle class have a tendency to drop in and out of poverty.

And the size has not actually changed much since 1993 – the year before the fall of apartheid and the election of Nelson Mandela.

The study also shows that the South African middle class is much smaller than estimated‚ sitting at around 14.5% of the total population in 2014. Women are more affected by poverty, and even those who manage to climb the ladder may slip down again.

“…It has not grown much since 1993 — growing its share by only two percentage points in the past 23 years…”

20151024_mac237And, perhaps, the real challenge we face with the ongoing search for Africa’s middle classes is the conflation that took place back then between a consumer marketing segmentation and a socio-political demographic.  By allowing the aspirational reach of the consumer marketing driven research to inflate the size of the segment classified as middle class, it has given rise to an ongoing and complex muddle across teh entire continent. As the AfDB’s former president Donald Kaberuka said last year:

“I think we are wasting too much time on the definition of the middle class and the cut off point, it is a sterile debate.

“A dynamic middle class that rises with the sea increases domestic demand, the diversity of the economy, [its] resilience, and they also stabilise the politics of a country as well, since they have a stake in the system.”

He has a point. But perhaps not the one he intended to make. Instead, if we consider disentangling consumption and demand for consumer products from the increase in political voice and “stake in the system”, we may in fact discover that there is indeed a sizeable bourgeoisie emerging even though they may not possess all the qualifying criteria traditionally attributed to a middle class per se. (Previous posts on this topic have been tagged informal bourgeoisie)

There’s the demographic segment which is the middle, and then, there’s the conceptual body of solid citizens invested in the democratic stability and economic growth and development of their countries. As Jacques Enaudeau wrote in 2013:

But fixated on wealth, the discussion on middle classes in Africa misses out on the other two pillars of social stratification: social status and political power.

As soon as those two are factored in, discussing the “African middle class” as a homogenous entity seems absurd, and so it should. Thinking that what separates the senior civil servant from the street hawker or the country head of a multinational from the shop owner is a matter of daily expenditure amounts to looking at their reality through the wrong end of the telescope: the bigger picture is that they live in different worlds.

In the developing world, the formal sector with its white collar jobs populated by university graduates may jostle cheek by jowl with the informal economy’s life lived on the street but that proximity might be on the only thing they have in common.

For here lies the rub: the material culture that the notion of “middle class” posits as shared consciousness is articulated to a strong sense of individualism, which is borderline contradictory with the idea of class. All the more reasons for the analysis to consider the representations which members have of themselves as a group and the historical context in which such groups are being shaped.

This, however, is not the post to unpack those complexities of self image and collective consciousness. It’s one which pauses to ponder the newest set of findings on the dynamic nature of poverty and wealth in the more uncertain and volatile operating environments of the still developing world. And considers the South African example introduced today:

There has, however, been considerable demographic transformation within that band of the middle class, with Africans now outnumbering whites by about two to one, the report said.  Factors driving the surge include greater access to credit, improved education levels, BEE and improved economic growth until recently.

Transformation of societies is underway, just as the Indian researchers concluded in their analysis. This might be a much larger global trend underway, whose weak signals we’re just beginning to pick up now. I’ll be following up with these musings on the blog. The people with the real problem on their hands are the consumer companies looking to justify entering the African markets, and perhaps that’s a topic to take up in the next article.

Is Uganda’s rural, informal economy helping people climb over the poverty line?

uganda poverty worldbank opendataI stumbled across this dataset on the World Bank’s open data website yesterday, and couldn’t resist making a table to convey the message. Uganda’s poverty headcount halved in the decade between 2002 and 2012. Their statistics are rated well enough that this doesn’t seem to be too far off the mark. In the three years since, one can imagine it has only dropped a wee bit further. For context, the poverty headcount in the United States is officially 14.5% – not too far away from 19.5%.

datasetThis intrigued me enough to go through the data for the greater East African region. The first table is sorted in order of GNI per capita, with Kenya leading the pack, while the second table is sorted by the least proportion of the population below the poverty line.

Here are some visual outcomes of my playing around.

regional analysis efl wbregional indicators efl wbThough Kenya is the “richest” country, its poverty headcount is more than double Uganda’s. What’s interesting is that Uganda’s per capita GNI (Income) is around half of Kenya’s. Uganda is heavily dependent on agriculture, and not as urbanized. In fact, the urban poverty headcount is a wee bit higher than the rural.

Given that rural economies, especially in East Africa, are technically part of the “informal economy”, I wonder if looking closer into that might offer some insights on how a “Low Income” country can slash its poverty level so dramatically? It might help explain why the per capita GNI is so much lower (Kenya is far more industrialized) yet far less people are living hand to mouth.

First world trends: Financial inclusion, the unbanked, and the prepaid business model


The Economist explains just how expensive banking can be for the lower income population, even in the United States. Financial inclusion for the unbanked and underbanked must include cost/benefit analysis based on the limitations of income streams of those whom they hope to serve. The cost of ownership is often overlooked in current day literature, which tends to focus on access to formal financial services, whether digital or otherwise. As the data clearly shows, value for money is a critical part of access, and a deciding factor in the choice to remain unbanked.

Life is expensive for America’s poor, with financial services the primary culprit, something that also afflicts migrants sending money home (see article). Mr Martin at least has a bank account. Some 8% of American households—and nearly one in three whose income is less than $15,000 a year—do not (see chart). More than half of this group say banking is too expensive for them. Many cannot maintain the minimum balance necessary to avoid monthly fees; for others, the risk of being walloped with unexpected fees looms too large.

Increasing popularity of prepaid business models

The GSMA expects the North American prepaid market to grow to 31% by 2020 and its hovering around 29% at this time. This is just over double the proportion of prepaid vs postpaid subscribers in the past 5 years.

In fact, US telcos like Sprint have recently announced their intent to drop the 2 year contract business model, offering smartphones on lease just like competitors Verizon and T-Mobile. And phone maker Apple has gone as far as to offer their own rent to own program, one which resembles SUV leasing arrangments with a new model every year.

Screenshot-2015-09-10-10.02.44-600x283This is an interesting trend as it points to the reluctance of consumers to commit to 2 years of unexpected bills at the end of the month, preferring the certainty that prepaid offers over your spending. Concurrently, there’s been a noticeable rise in prepaid credit cards and other similar facilities.

As of 2012, roughly 12 million Americans used a prepaid card at least once a month and we collectively loaded $65 billion to them – double the amount loaded just three years prior. That figure is expected to rise to $337.8 billion by 2017, according to Mercator Advisory Group – an increase of 420%.

The prepaid business model empowers customers by putting control over timing – frequency & periodicity, as well as amounts spent, in their hands. Flexibility to manage one’s expenses, against incomes, is another aspect that’s attractive about this business model. Companies love it too as cash flows accrue in advance, minimizing the risks of defaults.

Consumer income streams are changing in America

Do these trends reflect the changing patterns of cash flow among consumers, as indicated by the rise of such revenue generators as Uber, AirBnB and others of their ilk?

Irregular and unpredictable income streams are part and parcel of the independent worker, regardless of label, as they are not guaranteed a known amount in the form of a salary arriving on a predictable calender schedule.

This app offering to help you manage uncertainty seems to imply so.

Uncertainty and The Prepaid Economy: Time and Money


Uncertainty characterizes the entire global Prepaid Economy and is the underlying driver for decision making.

Systems are unreliable

Inadequate infrastructure, variability in basic services (will we have electricity this morning?), obsolete or incomplete systems; all of these, and more, are part and parcel of life in the emerging regions of the world. Will we wake up to find the capital city grinding to a halt because riots have erupted over the price of onions? None can say.

All of these elements act together to create a far more volatile operating environment which adds up to an uncertainty around timing. Will an accident along the main artery cause hours long grid lock familiar to anyone from Lagos to Lahore?

Cash flow is irregular

For the vast majority employed in the informal sector, regular predictable paychecks are not the norm.  Irregular unpredictable income streams from a variety of sources are the norm, and daily wage workers are not guaranteed that work will be available the following morning.

Even the farmer faces uncertainty, though her fields might be fruitful and ready for harvest. Seasonal ebbs and flows in cash flow are part of the rhythm of daily life outside of the formal economy’s calender year with its predictable regularity.

Smaller businesses too may feel less secure in cash intensive markets, dependent as they are on ensuring that incoming revenues must cover outgoing expenses.

Uncertainty is the only certainty

No one, however is immune from the larger uncertainties of their environment. Strikes, riots, power cuts or floods – these can bring entire cities grinding to a halt.

And the lower down the income stream you are, the greater the impact of this uncertainty. Without float, planning becomes a challenge and community is your insurance in times of need. Juggling to minimize the volatility between income and expense is an ongoing exercise in trade-offs.

Empowering oneself through control of time and money

In the prepaid economy, the greater the span of control you have over timing of a payment – its frequency and periodicity, and the amount to be spent, the greater your ability to plan and manage your finances. From chaos and disorder, one can find ways to negotiate and be flexible, whilst striving to keep one’s head above water.

This characteristic manifests itself in a wide variety of forms – purchasing patterns; choice of cooking fuel; social and flexible weights and measures; a wee bit of wriggle room to negotiate in case of the unexpected.

This is the second article in The Prepaid Economy Series. Here is a link to the IntroductionThe next one will take a closer look at the importance of flexibility and negotiability – that wee bit of wriggle room, left for the unexpected.