Archive for the ‘South Asia’ Category

Pondering India’s Cashless Future

Chhotu here accepts digital currency payments via the mobile platform on a daily basis.

His QR code is prominently displayed upfront next to the bottles of sauce, and a sticker displays the icons of all the payment apps acceptable to his Bhim app.

The Bhim system, launched by the Government of India, is a godsend to micro businesses like Chhotu’s – it allows him to accept payments from a wide ranging variety of apps and systems with the use of just one QR code.

Mr. AutoRickshaWallah on the other hand, preferred to negotiate with me in cash, agreeing to an amount upfront, based on my destination than to go through the hassle of using his digital meter.

By law, he must accept digital payments, if asked by a customer. But, he says, this is very rare; he might accept a Paytm fare once a week. The balance is all in cash.

One size does not fit all

The need for cash in hand during the course of each of these service providers drives their payment acceptance behaviour. Chhotu may not need as much cash on hand once he has set up his inventory and supplies for the day, barring the need for change whereupon he can suggest the customer move to a digital option if required. Plus, at the end of his shift at 10pm he’s happier if the bulk of his sales is in digital form for safety and security.

Mr Autorickshawallah, on the other hand, feels the need for cash available to purchase fuel, food, and pay out wherever required for parking or other purposes (like the police!).  He’s on the move and the signal may or may not work when the time comes for him to accept payment.

Digital adoption is unevenly distributed

Their customers are also from different demographics. Where Chhotu is set up, the market is full of young people with disposable income, out for the evening with their friends. Hearsay has it that mobile apps are selected and used based on their marketing incentives – most offer cashback on digital payments as a driver for user acquisition, but users have gotten clever and download them all so that they can take advantage of different promotions and offers to maximize their benefits.

Mr Autorickshawallah’s customers come from a wider range of demographics, and not as likely to be as comfortable juggling digital payments as Chhotu’s youthful crowd. He’s in his vehicle and on the move, and must ensure the payment gets made, unlike Chhotu who can take the risk of waiting since he and his stall aren’t going anywhere.

Is Cashless in India’s Future?

While digital payments, cards, and mobile apps were certainly far more visible than ever before, and definitely since the demonetization of two years ago, there is a very long way to go before cashless becomes as broadly accepted and mainstream as mPesa in Kenya. Unlike mPesa, the Indian digital currency ecosystem is linked intimately to bank accounts, and thus, there’s an entire ecosystem of services and goods providers that needs to shift over to the formal economy and its financial institutions before cashless becomes seamless at the borderlands of economic strata and demographics.

The current formal financial ecosystem is not designed to address the needs of the informal and unorganized sectors. And this is the iron that post demonetization analysis shows was not struck while it was hot enough to enable the broader change in culture and behaviour to stick once currency was back in circulation.

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

India’s Hidden Middle Class and the MNC Conundrum

The Economist writes a rather breathless take on a theme very popular just over a decade ago – the Great Indian Middle Class so longingly hoped and wished for still hadn’t emerged to satisfy the consumption habits preferred by the global multinational brands. Where were they, the article shrilly asked, unquestioningly promoting China’s middle class as an MNC success and overlooking all the challenges documented theretofore.

There’s an undeniable consumer boom visible across India, I’ve seen it and documented it myself. The difference this time around is that its a “hidden middle” – hidden from the lenses that MNCs use to identify their preferred customer for iPhones and IKEA, pizza and burgers. Having worked for both an MNC – All India advertising for Hewlett-Packard India in 1996, and an advertising agency – McCann Erickson 1994-1996 during the first decade of market liberalization, I discover I’ve so much to say to this Economist nonsense that I’ll bullet point my thoughts below to grasp some order from the ramble.

  • One of the first things I’d noticed in the March 2017 trip was that the style and flavour of the markets we’d used to frequent had changed. There was indeed a consumer majority now but it wasn’t the global elite preferred by MNCs. Where once malls were full of western style wear, and one could identify a woman’s economic and social strata by her fashion choices, these lines had blurred and democratized so much so that the market itself had changed.
  • Aspirational purchasing meant that pricing had to suit the pocket of the ambitious though the clothes were local versions of global styles. Everyone in the city wore western wear, though obviously of Indian cut and make. What I saw happening was what India has always done for centuries – absorb the foreign influence and make it uniquely her own. Its been two decades and the time is about right for the unique Indian middle class to emerge.
  • This hidden middle harks back to the original concept of middle classes – perhaps a factory worker who is now paid enough to maintain a motorcycle, an ATM card, and all the mod cons in his one room home. Or, the now grown up children, educated in English, taking over the discarded jobs of the former English educated elite in the call centers and the banking halls, the plethora of hospitality outlets and airlines, to bring a sheen of polish that hitherto never existed for their parents’ generation.
  • This middle class prefers their spicy Indian food, dolled up in a fast food outlet, looking like a Big Mac but tasting like home. This middle class will add paneer to their pizza and cumin to their soda water. You won’t see them at all if you’re hawking your pineapple on your ham.
  • This middle is 300 million strong I’d agree with the Indian executives mentioned in the Economist article. They can sense it but they can’t deliver it up in the manner that the research reports and multinationals require. That’s why there’s a huge missing middle, the same reason why Africa’s consumers are invisible for the most part, they don’t look like the Consumer nor fit the segmentation attributes.
  • One quick example that ports across cultures and countries is the taxi hailing app divide – there’s a local variant, Ola, that’s 1/3 to 1/5 the price of the global giant, Uber. The Ola driver accepts a variety of payment mechanisms including cash. He said to us that Uber was more popular in the better parts of town and considered an upper class product, while Ola was for everyone, even his own wife. This kind of brand segmentation exists up and down the spectrum of goods and services, rooted as it is in elements of India’s heritage and culture. And the mass majority brands will always take the lion’s share of consumers away from any imported brand. Unilever is quoted in the Economist article but the company had been known as Hindustan Lever for decades before hand and has faced its own struggles with indigenous upstarts like Nirma.

And, I suspect, that global multinationals, barring a few who’ve been around forever and a day, may never really crack the Indian market, just like they haven’t really done what they’d set out to do in China either. An ideal moment, on the other hand, to rethink the consumption driven growth frenzy required of these brands.

NB: The shopkeeper’s sign claims to sell both wholesale and retail.

Savings Groups : Observations on Economic Cooperation and Collaboration in Rural and Informal Conditions

Recently, I was interviewed on communal rural economic behaviour, particularly socially cooperative ones  such as informal savings and lending groups. The questions posed were:

  • How has your opinion of savings group changed over time?
  • Why in your opinion, are people in Africa and Latin America countries (developing countries) predisposed to forming savings groups?
  • What is the importance of appreciating the indigenous financial services of the people of Africa (or anywhere else)?

I enjoyed the conversation reflecting on the lessons learnt over the past decade of primary research on household financial management within context of informal rural economies across continents and countries so much so that I decided to capture my reflections here as an integrated answer to both questions.

On the documentary level, nothing much has changed in the years since I first observed instances of cooperative economic behaviour in rural informal operating environments. Here’s a snippet from the Prepaid Economy Project’s report written in November 2009:

These complex webs of the rural community’s social networks of trust were obvious in the patterns of sharing and cooperation seen in every country. Groups would invest and save together, for example, the extremely sophisticated cooperative ladies lending circle which had expanded over time to include the services of a local bank in India; or the beekeepers cooperative in Malawi where half the annual profits were saved in a common account while the other half was equally shared.

Years later, we’re still documenting the complex webs of social networking and trust in informal economic ecosystems, and the wide variety of organizational structures for financial and economic management.

Its our recognition of the role of such groups, and their contribution to the resilience and the ability of informal economic actors to manage in volatile and uncertain conditions that has evolved, and changed. The layers of knowledge laid down over the years, across the geographies and cultures, now allow me to take a step back from the details of any particular context, and understand the patterns of cooperation, broadly, across continents and cultures.

Furthermore, our own increasing depth and breadth of understanding the highly interdependent networks of commerce and trade within the informal economic ecosystem – from farm gate to cross border trade – have led to us rethinking the concept of the end user, and questioning the assumptions implicit in the way user research is designed for fintech, financial inclusion, and other such related areas.

That is to say, the way my opinion changed regarding savings (etc) groups, over the years, has been to recognize their importance as the basic building block of the rural and/or informal economy in the developing country operating environment, rather than simply observing their behaviour as a means for individual household financial management, as we’d done in the very beginning.

Source Alice’s entire value web can be thought of as an informal economic microsystem

From the human centered design perspective (HCD, or UCD = user centered design), which is the basis for our work here at emerging futures lab, we have begun to consider that the “end user” of our design solutions might as often turn out to be the group, instead of the individual member of that group. This has been the biggest change in my opinion, over time, in answer to the first question

For the remaining two questions, I rapidly sketched this continuum of different types of “informal” groups engaged in financial behaviour as seen in cash intensive, rural, and informal conditions, seen below.

As we have recognized, regardless of continent or community, the group is a basic economic building block. What changes from group to group, depending on its function and its need in the community, is the sophistication of the organizational and money management structure.

On one hand is the simplest form of cooperation – people pool money that one member then receives as a lumpsum to use, only the mechanism of choosing whose turn it is may require some coordination. At the other end are sophisticated economic management structures often with formal registration and recognition.  This includes integration of formal financial institutions and their products – such as leveraging capital in the form of a fixed deposit in a bank for drawing loans, or their services, such as a designated officer from the bank attending chama meetings.

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.

Here’s another snippet from the original report of 2009:

Insights derived from the fieldwork lead us to believe that the key factor that makes the ‘prepaid’ transaction model so successful among the BoP is the fact that the decision making is in the hands of the individual. This model gives the end user significant control over time – frequency and periodicity and money – varying amounts, in the hands of the customer and thus fits in with their need to manage their varying cash flow from multiple income sources with a great degree of flexibility.

Furthermore, among rural communities, it was observed that social capital – that is, the community ties and extended networks – plays a significant role in the success of existing informal yet traditional means of borrowing, lending and sharing wealth and expenses.

That is, the negotiability, flexibility, and reciprocity, that trust enables within one’s social ties, is reflected in the prepaid business model that enabled mobile phones to spread rapidly around the world. And it’s this factor that provides the evidence for our assertion that an external business model or payment plan to be introduced into such an informal economic ecosystem succeeds when it resonates with existing forms and structures of financial and economic behaviour.

This is not only why its critical to first observe, document, and understand the existing solutions and behaviours in what may seem to be a financially excluded population, but it provides the keys to the design of sustainable solutions that are successfully adopted and utilized. The bottomline is that the “informal” or the rural isn’t adhoc or chaotic as initial observations might imply, but there are rhythms and structures inherent in the system that may, in fact, be invisible.

Absolute Numbers 2007-2017: The “Developing” World Now Dominates the Internet

Source: http://tmenguy.free.fr/TechBlog/?p=161

Traditionally, the data on ICT usage across the world tends to be presented proportionally – per capita usage, or penetration in the form of percentage of population. This made sense 10 years ago, when the world had just begun to notice the rapid growth of mobile phone adoption in developing regions. The typical example shown above was extremely popular – many of you will recognize it – Africa was outstripping the world in phone sales, and the prepaid business model had opened the floodgates.

At this time, however, devices were still at the feature phone stage, and Nokia owned the market. Voice and SMS were the real time communication disruptors, and smartphones only just entered the public consciousness. Internet penetration was still in the future.

Recently, however, I came across current data on internet usage presented in absolute numbers – shown above – of people online. The difference is rather stark, when compared to the proportional representation – see below.

Not only are the next two billion online, but the absolute numbers re-order the regions in a very different way. Asia leads the world online, and even Africa ranks higher than North America. Here’s the same data presented, by region, as a pie chart.

The distortion created by proportional or per capita presented skews the true landscape of the actual human beings who are using the internet. Ten years ago, this might have made sense given the passive content consumption nature of much of the early world wide web.

Today, given the dominance of social media, and the frictionless ability for anyone to share their thoughts, their photos, or their music video, its the absolute numbers that actually make a difference. There is more content available in Mandarin than in English, though we may not know it, and there are more Africans talking to each other every morning than there are North Americans.

I’ll be following up with more writing on the implications of this historic decade in human history – between 2007 and 2017, the long awaited next billion not only came online, but began showing us how to disrupt everything from cross border payments, to cryptocurrency adoption. They are my hope for a more peaceful, inclusive, and sustainable future for our grandchildren.

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.

India: Dragging the reluctant elephant into a digital, cashless future

IMG_6947

Final processing for India’s digital identity platform Aadhaar, New Delhi on 3 March 2017 (Photo Credit: Niti Bhan)

My recent immersion in Delhi a mere four months after demonetization (or, notebandi as it’s locally known) was a bit of a letdown. Oh sure, there were numerous, visible changes in the 2 years since my last trip – mostly very clear indicators of India’s socio-economic development – but none of the sense of chaos that I was expecting, having relied primarily on third party news sources, that too, in English, in the weeks leading up to my departure.

The headlines would have it that people were dropping like flies on the streets. A grand total of 187* people died visibly due to notebandi, or so I heard. The two most common responses were either sympathy – people should not have had to die for something like this and it was a sad thing to happen; or pragmatism – “people die everyday, who knows why, maybe his time had come and he was standing in line.”

The overall atmosphere was one of energy – there’s less of a sense of lackadaisical chaos that used to characterise the neighbourhood market and it’s sleepy vendors waiting for the evening strollers. There’s a sense of purpose in the hustle, as though there was money to be made. Digital money.

IMG_6950The combination of a digital identity platform and the disruption of demonetization could indeed be said to describe ideal conditions for triggering cashless India. Cards are accepted far more easily than before. “Paytm” – a local payments app – is visible everywhere, from on demand cars (Ola, Uber, Meru, etc), small kiosks, through to shiny upmarket shops. As a taxi driver told me with a smirk, everyone’s using Paytm now, even the beggars.

Rural India is said to have suffered far more, according to the reports I’d read prior to my trip. This might be unevenly distributed according to geography and growing season – a factoryworker returning from his home village in Bihar said he’d attended a wedding with hundreds of people and surely someone would have had a sob story to share.

Instead, he’d heard it was the intermediaries in the farm to fork supply chain who purchase from myriads of small farms in order to aggregate in bulk prior to selling onwards towards the cities who’d been hit harder by the sudden lack of liquidity. They were caught in the middle of the cash based chain of transactions and had to carry the burden of wastage if they weren’t able to move produce fast enough. Anecdotes included them distributing potatoes freely to farmers to use as seed for the next harvest, and tomato prices crashing.

Articles in the news state that the economy was hit harder than people would admit to but none, as yet, have complimented the common man for his endurance under conditions of scarcity and hardship, nor praised the hardworking women who kept their families fed through their social networks of give and take.

All the papers – domestic and foreign – only go on about India’s GDP, the economy, the vast business sectors, and the politics. If at all the average Indian is mentioned it is through the lens of pity – “oh, the poor farmer is suffering” or some such heartrending sob story from the “informal sector” – there’s never any mention of their ingenuity in keeping things going without cash; or the way it was all held together under conditions of adversity and scarcity.

IMG_7319That, perhaps was my biggest takeaway from my open ended conversations with a wide range of people from different socio-economic strata, professions, backgrounds, and age groups.

Their palpable pride in themselves in having come through upheaval relatively unscathed, or having the wherewithal to manage.  All the rest of it, the Aadhaar digital ID, the use of technology for transparency and accountability, the mobile platform and its ubiquity, all of these and more, I believe, will sort themselves out in time.

I’m minded to end this with a quote from Rositta J. Valiyamattam writing, ironically, on the topic of Indian fiction (page xii):

“Their novels testify to the amazing resilience of the masses in a nation wherein the commoner is rendered helpless by an often corrupt mighty polity. What stands out is the assertion of the individual will over uncontrolled powers and unfavourable circumstances. They salute the heroic struggles of ordinary Indians in times of extraordinary transformation.”

 

 

*Word of mouth number, every report has a different total, so whatever. All photographs not captioned were taken in Delhi by Niti Bhan during March 2017.

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.