Posts Tagged ‘biashara economics’

Mobile Phones and the Informal Economy

Western Kenya, June 2012

Over the past week or so, I’ve been scanning literature from African researchers on the broad theme of mobile phones and the informal economy. Here are some of my top findings:

  1. The Mobile Phone is a Business Tool and Income Generator – Regardless of the region (and cultural context) of study –  Cameroon or Cote D’Ivoire, Kenya or Botswana or Tanzania; and, regardless of whether the research methodology was quantitative or qualitative, respondents across the board considered their mobile phones as a critical capital expense for running their business, important for boosting efficiency, productivity, and incomes. In these studies focusing on the informal economy, respondents were micro and small enterprises, most often owned and operated by a single individual.
  2. Mobile phones and cellular services opened entirely new avenues of employment, particularly for youth – More visible in the earlier years of Africa’s mobile revolution, but still important enough today, are the new avenues that the ecosystem and infrastructure opened up for young people.  A slew of supporting services such as airtime sales, voucher sales, mobile money agencies, phone sales, download services, call booths, et al each had their day in the sun as a promising new way to tap into the double digit growth sustained by African mobile markets in the past two decades.  Most notably, mobile phone repair shops stand out as a whole new career path enabled by cutting edge technology. And, some of the best known hardware and software hackers went on to bigger things.
  3. Mobile money agents preferred to banks – Studies on this theme – if they were conducted where mobile money had reached critical mass – noted that mobile money agents were often considered as “one of us” by informal sector businesspeople as compared to forbidding requirements and investment in time required by banks. Mobile money agents were located conveniently in the same markets, often in neighbourhood shops, were open for longer and more convenient hours, and even on weekends. They were definitely more flexible and accommodating of the needs of informal sector commercial activity, and often a critical part of the business person’s network than any bank.

These three things caught my attention as showing up over and over again the literature, regardless of whether it was a PhD dissertation, an academic’s paper, or an MBA student’s thesis.

References:

The diffusion and Impact of Mobile Phones on the Informal Sector in Kenya (2010) – Wakari Gikenye and Dennis Ocholla

The role played by the informal economy in the appropriation of ICTs in urban environments in West Africa (2008) – CHENEAU-LOQUAY, Annie

The Economic and Social Effects of Mobile Phone Usage: The Case of Women Traders in Accra (2015) – Dissertation, Yvette A. A. Ussher

Mobile phones in the transformation of the informal economy: stories from market women in Kampala, Uganda (2016) – Caroline Wamala Larsson & Jakob Svensson

Cell Phone Repairers in Cameroon, 2000-2013 (2015) – Walter Gam Nkwi

Why the Potential of the African Consumer Market Cannot be Considered in Isolation from the Informal Economy

Top flight management consulting firms like McKinsey, BCG, Deloitte, PwC et al have been taking a good long look at the emergent African Consumer Market for a number of years now. McKinsey, in fact, has just released a book on the theme, authored by their leading Africa experts. All of them acknowledge the existence of the informal sector in retail and wholesale trade and distribution, recognizing the competitive advantages and disadvantages for modern retail and consumer product companies seeking growth in African markets. They know their clientele must operate in the formal sector, and target the wealthier segments of the populace, and this is what they focus on.

Brookings Institution, however, has now caught up with their version of such a report – drawing heavily on consumer data from all the previous management consulting firm reports mentioned above – and this has inadvertently brought to light a major blindspot in the assumptions being made on the African consumer market opportunity. Unlike the management consulting firms who position their reports for the private sector, Brookings is necessarily forced to consider policy implications of their publication by virtue of their institutional nature.

Therefore, you have a report on the African Consumer Market opportunity that includes sections that attempt to justify the rise of consumerism as a signal of industrial development, through citations based on development indicators from the formal economy in sectors such as agriculture and manufacturing, thus necessitating optimistic expectations of the decline of the informal sector. This theory of market evolution predicated on the decline of the informal as a signal of economic development, has, in fact, been debunked by numerous learned scholars in the field of development economics, such as Martha Alter Chen, and Ravi Kanbur.

By taking this route, the Brookings’ report is grounded in the assumption that the informal economy is a separate animal all together and one which will vanish into thin air with the ‘rise of Africa’ and her growing middle and upper classes with the discretionary incomes that make them so attractive to global brands.

This framing reveals their blindspot.

Ghanaian scholar Bright Stevens, and the OECD, both have described the emergent middle classes expected to make up the bulk of the African consumer market as those whose roots are firmly established in the informal economy, and that this emerging middle class is unlike the conventional descriptions of middle class as seen in the developed world.

That is, the emerging consumer classes of the African continent are more likely to earn their discretionary income from various activities that fall within the informal economy than from more traditional white collar employment or civil service. This can be easily discerned from the available data on the proportion of the working age population dependent on the informal economy, and the size of that informal economy, in each of the major consumer markets highlighted.

Take Nigeria for example, Africa’s largest economy and most populous nation. Estimates from the IMF put the informal sector’s contribution to the national GDP as high as 60%, providing employment for as many as 85% of the working population. More than 90% of retail (and related services) is provided by the informal sector. This will not be transforming any time soon into modern retail, even given the penetration of ICTs as projected by the Brookings report.

The African consumer market is not growing in isolation from the informal economy, nor are the impacts of digital commerce only influencing changes in consumer behaviour. A vast majority of these emerging consumer classes are directly involved in the informal sector, and any changes in their spending patterns and behaviour are bound to have corollaries in their commercial activities and business operations. The two are not two separate entities.

In fact, ICT penetration is changing the informal economy, particularly retail and wholesale trade. B2C sales and marketing facilitated by digital platforms are a contemporary reality, visible if you know where to look online. WhatsApp, Facebook, Twitter, and Instagram offer scale and reach to enterprising entrepreneurs looking for new customers, and the proliferation of on demand apps for services such as car hailing are promoting wholly new business models for transportation and distribution. This is the current reality evidenced by any number of new startups announcing their arrival in the tech press in Nigeria, Kenya, Ghana, South Africa, and more.

What is not transforming as rapidly are the policies and regulations concerning formalization, and those barriers and costs still hold sway. Trade and services are still likely to remain within the informal sector even if their productivity and efficiency are being improved almost daily by the adoption of new and improved communication technologies. Viable pathways for their integration into the formal economy are few and far between. And, their progress and development is hampered by obsolete models and worldviews, as though they’re stuck in stasis.

It is this blindspot that makes the Brookings report at odds with the current landscape of the African operating environment for consumer oriented companies and global brands, particularly in the most promising markets highlighted such as Nigeria or Kenya, or even Angola.

The African consumer market cannot be considered in isolation, as though it’s on its own trajectory of evolution and development, separate and apart from the informal economy. Nor can one segment decline without having impact on the other. Their linkages and interdependencies are far too closely intertwined for that to happen. The rise of the African consumer class will remain linked to the health of the resilient and persistent informal economy for some time to come.

 

Further reading: How Africa Is Challenging Marketing, Harvard Business Review, June 2014

Financial Patterns at the Last Mile of the Farm to Fork Value Chain

Source: http://library.wur.nl/WebQuery/wurpubs/454661

This value web illustrates the last mile of the farm to fork agricultural value chain in the state of Maharashtra, India. We’d mapped it during our project/s for the Dutch government back in mid 2013, where we’d introduced human centered design thinking for sustainable agricultural value chain development. Subsequently, I led a multidisciplinary team conducting fieldwork in rural Kenya, in order to compare and contrast the last mile in the African context.

As mentioned previously, while the details of seasonality and crops may change due to geography, the essential foundation and framework of the farm’s financial management behaviour remained the same. And, while the actors and roles in the value web may shift and change between rural India and rural Kenya, the essence, here, too, remains the same. There are intermediaries and brokers, transporters and aggregators, and wholesalers and retailers, along with agrovets and extension agents. Everyone has a part to play in the interdependent web of value exchange, based on trusted relationships for the most part.

Therefore, their cash flows and income streams too, are closely linked to the harvest seasons and the crops, just like the farmers‘. In fact, Indian business magazines go as far as to assess the health of each year’s monsoon season in order to attempt forecasts on the annual peak of consumer activity – the post harvest festival season in the October-November period. They recognize the linkages and networks that connect the rural and urban markets, and the ripple effects of the quality of the year’s harvest. It would not be inaccurate to say that the degree of impact and influence is proportional to two related factors – the proportion of GDP from agriculture and related activities; and, the percentage of the country’s population dependent on agriculture and related activities.

Market town finances

In addition to the linkage, we have observed financial management behaviours among traders, and not just those dealing in agricultural commodities or fresh produce, that resemble those on the farm.

The factors that impact the management of working capital and income streams – uncertainty of amount and the timing of its arrival – remain the same, as do the majority of the characteristics of the operating environment, such as infrastructure and systems. A trader dealing in new clothes also sees seasonal differences in her sales, and, unlike a trader in foodstuffs, is also more likely to see greater impact of a low season as people go without the discretionary purchase of a new shirt. Thus, traders must also manage the volatility, uncertainty, and seasonality of their addressable market, and their customer base, and their cash flows and income streams accordingly. We see the impact of this in their business development strategies, and that will be the subject of the next post.

Furthermore, in market towns and border markets, unlike urban metros with a myriad of occupations, the health of the agricultural season will impact everyone in the ecosystem not just the traders themselves. The internetworked last mile of the farm to fork value web closely links the health of the harvests with that of the rural and peri-urban economies.

 

Collected Works
Work in Progress: An Introduction to the Informal Economy’s Commercial Environment – Links to organized series of articles on the topic

Rural Household Financial Management on Irregular Incomes

While all farms are not alike, and scale and variety and geography differs, the pattern of household financial management holds its fundamental logic across continents.

click to expand image

As we saw previously, an experienced farmer tends to fall somewhere in between a salaried employee and an odd job labourer in their ability to predict with any reasonable degree of accuracy when they might expect cash income to arrive and approximately how much. They are able to estimate the quantum of the crop, and when it will be ready to harvest. They may already have buyers or a market.

However, in practice, farmers rarely rely solely on these infrequent lump sums for managing their household finances – a big harvest once or twice a year, maybe three times depending on the crops and the local geography. Instead, they manage on sophisticated portfolio of investments, each maturing over different periods of time, as a way to mitigate risk, as well as smoothen out cash flows over the course of the natural year, and minimize the impact of uncertainty or shock. The drivers for these goals are the foundation for the variety of business practices observed across sectors in the informal economies of the developing world.

You will find even the humblest farmer, as long as he owns the patch of land on which his homestead is built, even if his fields may be further away, doing some or all of a combination of these activities to manage his income stream over the course of the natural year. I will explain the basics, and then give examples from different regions.

Managing A Portfolio of Investments based on “Time and Money”

The illustration above captures our attempt to map the various cash flow patterns from the farmer’s portfolio of investments. Consider each cluster of elements as a “deposit” with varying times of maturity for cashing out, as the need may be. For example, cows give milk which can be sold for almost daily cash returns, as can the eggs from chickens. The fresh produce from the kitchen garden matures far more quickly than staples such as maize or beans. And, if there is a cash crop such as tea or coffee, this may taken an entire year for the harvest to be monetized. At the same time, various farmyard animals are invested into when young, maturing over time for sale, as an emergency cushion or for earmarked expenses such as annual school fees.

Thus, over the course of the year, cash arrives in hand with varying degrees of frequency, and periodicity, thus ensuring the farm’s ability to manage regular household expenditure on a more or less regular basis, even though there are no predictable wages. Nor, is the farmer burdened with credit and debt over the time whilst waiting for her 2 or 3 major harvest seasons.

Variance in regional seasonality influences coping mechanisms

While the foundational framework of the farmstead’s domestic financial managment remains the same, regional differences due to geography, and thus seasonality, influence crop choices, number of harvests, and the details of the coping mechanisms selected by the farmer to manage her financial portfolio.

For instance, in rural Philippines, in the rice growing Visayas islands, only well situated farms benefit from three rain fed rice harvests a year whilst the majority must manage on two. Thus, farmers invest in piglets, calves, or even cull chicks for nurturing into fighting cockerels which sell for more than 10 times the price of a regular chicken. They stock firewood, coconut husk, and supplement their cash money needs through petty retail during the low season.

In rural Malawi, outside of Blantyre, the farmwife who is a member of beekeeper’s cooperative, distills traditional wine for sales 2 to 3 times a week, boosting her cash flow frequency instead of waiting for the annual honey harvest.

Minimizing volatility to enable financial planning

Thus, we can see that even under conditions of uncertainty, farmers have established the means to manage their household expenses, including periodic ones such as school fees or loan repayments, on irregular and unpredictable cash flows from a variety of sources. Their sophisticated portfolio of investments contain “deposits” that mature over varying times, for different amounts, and their planning, thus, goes into ensuring that the volatility between income and outgoing expenses is kept to a minimum.

Next, we will see how less agriculturally dependent sectors of the informal economy base their financial management patterns on the rural economy’s foundation of portfolio management.

 

Collected Works
Work in Progress: An Introduction to the Informal Economy’s Commercial Environment – Links to organized series of articles on the topic

Competitive Advantage & Customer Relationships: Lessons from Market Mummies of Ghana

Source: Gerry van Dyke presentation

Source: Gerry van Dyke presentation

How would you differentiate yourself in this informal retail market? Ghanaian market research guru Gerry van Dyke took a closer look at the market ‘mummies’ – Mama Biashara, as we call her – and their consumer marketing techniques in the “non-label environment”. His findings form an excellent foundation for understanding marketing and customer relationships in the informal sector. You can explore insights from his presentation here (PDF).

The story that follows tells the interesting marketing skills that reside in the traditional African market and the similarities in the tools employed by modern marketing.

The African Informal Sector: GDP Contribution vs Scale of Human Impact

The informal economy in sub Saharan Africa (SSA) tends to be measured as a share of GDP, counting its contribution to the national economy. By this metric, Nigeria has the most economically empowered informal sector, contributing over 60% to the GDP. On the other extreme, South Africa, has one of the smallest contributions to the GDP from the informal sector, but the highest unemployment rate.

Yet both Nigeria and South Africa are neck to neck when it comes to the title of “largest economy on the African continent”, or place in the top 3. So what does this tell us about these IMF metrics being used to measure the informal sector?

The human impact story is missing from the equations

South Africa might have one of the smallest informal sectors in terms of contribution to their GDP, but the number of people generating their income from the informal sector is almost as large as Tanzania, whose informal sector contribution is more than double, second only to Nigeria.

WIEGO’s research, from which the above employment figures are drawn, highlights the social impact and scale of the informal sector in human terms. Already, the informal sector’s employment opportunities are growing faster than the much smaller formal sectors in most major African economies. New graduates and working age adults still need to find a way to put food on the table.

Its not enough to simply look at GDP contribution when it comes to the complex value embedded (and untapped) in the informal economies of these nations. Where social safety nets are scarce, and systems variable in their functioning, the human and social impact of the informal cannot be ignored in development planning and policy design.

Voices from the Pacific: Mirroring the Challenges of Informal Market Women Everywhere

ABOUT 80 per cent of all market vendors in the Pacific are women, and these earnings make up a significant portion of incomes of many poor households. In spite of their contribution to the local economy and to markets, women are often excluded from market governance and decision-making. ~ The Fiji Times

Following up from the previous post on cooperative and collaborative financial behaviour in rural and informal economic conditions where I’d stated:

The fact that both simple and sophisticated groups exist within the rural and informal economy imply that the factors that predispose people to turn to cooperative and collaborative solutions for managing their finances in conditions of uncertainty and unpredictability are thus related to factors external to the local culture or society, and have more to do with the similarity of the conditions inherent in the operating environment of the informal and rural economies of the developing world.

These include irregular cash flows from a variety of sources, multiple income streams over the course of the natural year, seasonality inherent in agricultural crop cycles, and lack of a social safety net.

I thought to share the snippet above on an article I came across from The Fiji Times about a Market Vendor Association gathering of women traders from across the island nations in the Pacific Ocean – all the way across our planet from the continent of Africa – and how familiar I found their words describing their obstacles and opportunities. Mama Biashara spans the globe with her trade.

This commonality only underscores our need to capture, document, analyze, and understand the operating environment of the informal economy, thus laying the foundation for its recognition as a very natural and organic response to similar conditions and constraints – a global phenomena, if you will, and thus, not just a local or regional embarrassment to be eradicated.

Fundamental Elements of Informal Sector Commercial Activity

There are two key elements which underpin the dynamics of any business or commercial enterprise in the informal sector. These are Time and Money.

A generalized framework can be diagrammed, as shown above, where the dotted line denotes the degree of uncertainty and volatility of an individual’s cash flow patterns – whether from a variety of informal economic activities – such as for the farmer or trader; or from the salary received for a white collar job. The X axis – Time – denotes the increasing accuracy of estimating the Arrival date of a cash payment (from some revenue source), and the Y axis – Amount – denotes the increasing accuracy of estimating the Amount that will arrive. Their relative ability to estimate Arrival and Amount with any degree of accuracy is indicative of their ability to forecast and plan for expenditure.

Thus, at one end of the continuum, one can position an odd jobs labourer who may or may not get paid work on any given day, and is unable to predict with any degree of certainty what type of job he’ll get selected for, nor for how many days it will last. It could be as basic as loading a truck for half a day’s pay, which in turn might even be in kind, and not cash. And, at the other end of this continuum, one can position a the typical white collar salaried professional or civil servant who knows with certainty exactly on which day they will receive the salary and exactly how much will arrive.

 

Positioning and Location

Now, we can frame these two elements of the commercial operating environment in the form of a position map, as shown above, that maps the ability to plan expenditures against the stability of the cash flow. The red arrow is the continuum of certainty and stability of Timing and Amount of an income stream, anchored by the most vulnerable odd jobs labourer at one end and the relatively most secure salaried professional at the other.

Where it gets interesting is the relatively liminal space in the middle where the various economic actors in the informal economy constantly shift position as they seek to mitigate the volatility of their income streams, through a variety of mechanisms. Much of their decision making is related to their own perception of uncertainty and ability to forecast.

For the purpose of this explanatory diagram, I have selected 4 typical examples drawn from different sectors of the informal economy common in the developing country context. Each are at the more vulnerable end of their own segments i.e. a subsistence farmer, rather than one with an established cash crop; or a small roadside kiosk rather than an established general merchandise store in a market town; since they have not yet achieved the goal of their business development strategies to move their own entrepreneural ventures towards relative stability, and thus provide more insight on the relationship between cash flow patterns and investment and expenditure planning.

The hawker of goods at a traffic light or junction is in a comparatively more fragile situation than the kiosk owner with a fixed location who works to develop relationships with passing customers in order to convert them to regulars at her store. Unlike the kiosk, which might be located near a busy bus stop, or outside a densely populated gated community; the hawker cannot predict which cars will pause at the red light as he darts through traffic shouting his wares. However, compared to the odd jobs labourer, the hawker has comparatively more control over his income generation since his is not a passive function of waiting to be picked from the labour pool in a truckyard or construction site.

The smallholder farmer might actually be better off economically in many ways than his urban brethren involved in informal retail, being able to live off the land more cheaply than in the city. Experienced farmers, for the most part, are able to predict with reasonable accuracy, more or less the quantity of their crop, and the estimated timing of the harvest. However, his sense of uncertainty is often perceptually greater due to the unmitigatable impact of adverse weather conditions, or the sudden infestation of a pest or blight, any of which could at any time completely destroy his harvest, and thus, his expectations. This sense of insecurity in turn influences his decisions on expense commitments to far ahead in time, or too large a lumpsum at some point outside of his regional harvest season. The farmer’s income streams are relatively more out of his control than the disposable income in the pockets of the kiosk’s customer base.

The market woman with her display of fresh produce, at the entry level of inventory investment capacity, might only have one or two different varieties of vegetables or fruit to sell, and may not yet have established a permanent structure – a table, a kiosk – in the market. She might start off with only a tarpaulin on the ground with some tomatoes and onions for sale. Unlike the traffic intersection hawker, however, she is more likely to begin by assuming a regular placement and location as this establishes the foundation for her future business development, through the factors of discoverability and predictability among the customers in that locale.

That is, in addition to Timing and Amount of Income – the cash flow patterns and sources – we begin to see the role played by location – Place1, as a supporting element of the commercial activity in the informal economy. While farmers are least likely to have much control over the location of the land they may inherit, their risk mitigation strategies to minimize volatility of their income streams and maximize their ability to plan for the future and manage emergencies will be discussed in depth in the section2 on rural household financial management. These practices are the foundation of business development strategies commonly observed in the informal economy in developing countries which tend to be less urbanized, and as is often the case, more dependent on agriculture as a component of national GDP.

 

Appendix
1 People, Pesa, Place: A Multidisciplinary Lens on Innovating in Emerging Markets
2 Rural Household Financial Behaviour on Irregular Income Streams at the Base of the Pyramid

Work in Progress: An Introduction to the Informal Economy’s Commercial Environment


This topic is being shared in the form of a collection of essays on the following themes, each becoming hyperlinked on completion. Do bookmark this page for regular updates.


Introduction to Background and Context, some caveats apply
Fundamental Elements of Informal Sector Commercial Activity
Rural household financial management as a foundation
Linkages and Networks span Urban and Rural Markets
Underlying Principles for Financial and Social Contracts in the Informal Economy
Informal Sector Business Development Strategies and Objectives
Why A Blanket Approach to Formalization is not a Panacea
Disaggregating and Segmenting the Informal Sectors
The Journey to Formalization Cannot be Leapfrogged

 


Appendix:
Creating Economic Value by Design (John Heskett, IJD 2009)
Financial Behaviour Patterns Observed Among Households in Rural Informal Economy (IDRC, 2009)
More or Less: The Fundamental Principle of Flexibility” Slides (Informal Economy Symposium, 2012)
A Comprehensive Analysis of the Literature on Informal Cross Border Trade in East Africa (TMEA, 2016)

Financial Behaviour Patterns Observed Among Households in Rural Informal Economy in Asia

This is the original working paper of the research conducted on rural household financial management, in developing country conditions, pioneering the use of methods from human centered design for discovery, during Nov 2008 to March 2009, aka the Prepaid Economy Project. It was peer reviewed by Brett Hudson Matthews, and I have incorporated his comments into the PDF.

This research study was carried out with the aid of a grant from the iBoP Asia Project (http://www.ibop-asia.net), a partnership between the Ateneo School of Government and Canada’s International Development Research Centre (www.idrc.ca)

The abstract:


The challenge faced by Bottom of the Pyramid (BoP) ventures has been the lack of knowledge about their intended target audience from the point of view of business development whereas decades of consumer research and insights are available for conventional markets. What little is known about the BoP’s consumer behaviour, purchasing patterns and decision making tends to assume that there are no primary differences between mainstream consumers and the BoP except for the amount of their income – pegged most often between $2 to $5 a day.

In practice, the great majority at the BoP manage on incomes earned from a variety of sources rather than a predictable salary from a regular job and have little or no access to conventional financial tools such as credit cards, bank accounts, loans, mortgages. This is one of the biggest differentiators in the challenge of value creation faced by BoP ventures, particularly among rural populations (over 60% of the global BoP population lives in rural areas).

Exploratory research was conducted in the field among rural Indian and rural Filipino populations in order to understand how those on irregular incomes managed their household expenses. Empirical data collected by observations, interviews and extended immersion led us to identify patterns of behaviour among the rural BoP in their management of income and expenditure, ‘cash flow’ and ‘working capital’ and the significance of social capital and community networks as financial tools. Practices documented include ‘conversion to goods’, ‘stored wealth’, ‘cashless transactions’, and reliance on multiple sources of income that mature over different times.

This paper will share our observations from the field; identify some challenges these behaviours create for business and also explore some opportunities for value creation by seeking to articulate the elements that BoP ventures must address if they are to do business profitably with the rural ‘poor’ based on their own existing patterns of financial habits and norms.


The Conclusion:

In sum, it can be concluded that the challenges for value creation can be quite different for BoP ventures interested in addressing the rural markets. From the observations made in the field, we can highlight three key implications for business development. These are:

  • Seasonality – with the exception of the salaried, everyone else in the sample pool was able to identify times of abundance and scarcity over the course of natural year in their earnings. Identification of a particular region or market’s local pattern of seasonality would benefit the design of payment schedules, timing of entry or new product and service launch, for example.
  • Relative lack of liquidity – The majority of the rural households observed tended to ‘store wealth’ in the form of goods, livestock or natural resources, relying on a variety of cashless transactions within the community for a number of needs. Conventional business development strategies need to be reformulated to take this into account as these patterns of behaviour may reflect the household’s purchasing power or income level inaccurately.
  • Increasing the customer’s span of control over the timing, frequency and amount of cash required – Since the availability and amount of cash cannot be predicted on calendar time, this implication is best reflected by the success of the prepaid mobile phone subscriptions in these same markets. When some cash is available, it can be used to purchase airtime minutes for text or voice calls, when there is no money, the phone can still receive incoming calls. Models which impose an external schedule of periodicity, frequency and amount of cash required may not always be successful in matching the volatile cash flow particular to each household’s sources of income.