Skip to main content

Can the digitalization of money provide more innovative monetary tools to governments?


Due to the Covid crisis, we have arrived in a
 major global recession. Not only were there the enormous impacts on the economy of the (semi) lock-downs, but consumption dropped also enormously as consumers are worried of getting infected while shopping, don’t like the shopping experience due to the different sanitary measures or they prefer to increase their safety cushion by saving more money, as they fear for the future (e.g. fear of increasing taxes or losing their jobs).

While such a postponement of consumer spending makes perfect sense at a micro-scale (at the level of an individual), at a macro-scale this is the ideal ingredient for accelerating and worsening the economic crisis.

Governments are well aware of this phenomenon and do everything in their power to boost the short-term consumption, via:

  • All kind of subsidies and fiscal stimuli helping to promote investments (e.g. subsidies for house renovations or business investments)

  • All kind of measures to avoid liquidity issues for (small and medium-sized) businesses and individuals, like special (government-backed) loans and programs of loan capital repayment holidays

  • Support measures to the most impacted sectors, like lowering taxes (e.g. lowering VAT for the horeca), simplifying the rules for using technical unemployment or monetary compensations for the losses incurred during the period(s), when forced to be closed

  • All kind of pre-paid vouchers offered by different levels of governments (handed out by the government to certain citizens or made fiscally interesting for employers to offer to their employees), such as the consumption voucher in Belgium, city vouchers, tourism vouchers…​

  • Huge government deficits will be accepted, allowing governments to spend more money on investments (like infrastructure works), allowing to compensate for the lower spending of consumers and businesses

  • Interest rates are kept very low (lower than inflation), meaning that money not consumed now or not invested in the real economy (via equity) will lose its value. This forces people to activate their money now.

  • …​

In all countries in the world, we see the above recipes promoted by economists and implemented in different flavors.
Of course given the short time to respond to this crisis, it is logical that recipes which have proven their success in the past, are reused.

Nonetheless we should also use this crisis to reflect if the new paradigm of digital money (i.e. the Covid crisis has made many counties nearly cashless in a very short period) cannot provide new (and better) government-backed techniques for boosting consumption.

In particular I see 2 techniques, which governments could explore thanks to the digitalization of payments and the phenomenon of Open Banking:

  • Cash backs: provide automatic cash backs paid by the government, when payments are identified, which are the result of a consumption at a merchant the government wants to stimulate (e.g. ecological, local shopping…​)

  • Rule-based money: governments could give more incentives to companies, when they pay out part of their salaries on rule-based accounts. This rule-based money would follow a number of rules, i.e. the money would be split up in buckets each having a rule by when and at which shop(s) or for which products it should be consumed.
    The bank could then automatically identify if a payment transaction (still paid with the standard current account) meets the rules of one of these buckets and if so automatically credit (reimburse) the current account with money of the particular bucket on this rule-based account. This means the customer can continue to pay with all his existing payment methods, but banks automatically repay from the rule-based account. As such these configurable rule-based accounts can force a specific spending pattern.
    In a first phase, this would only be based on the merchant identifier, but thanks to an Open Retail initiative, it could become possible for the bank to know more details of each payment transaction, allowing a reimbursement at product level.
    Furthermore governments can push for a faster consumption, as each bucket can also have an end date. After this end date, the money could expire (e.g. going back to the government as a sort of tax) or the remaining amount could be converted to the current account (meaning money without any restrictions) after a penalty of X% has been deducted (which could also be a sort of tax to the government).

These mechanisms would be very flexible ways to push for short-term well-targeted consumption and could provide new tools to fight (upcoming) economic recessions.

Comments

Popular posts from this blog

Transforming the insurance sector to an Open API Ecosystem

1. Introduction "Open" has recently become a new buzzword in the financial services industry, i.e.   open data, open APIs, Open Banking, Open Insurance …​, but what does this new buzzword really mean? "Open" refers to the capability of companies to expose their services to the outside world, so that   external partners or even competitors   can use these services to bring added value to their customers. This trend is made possible by the technological evolution of   open APIs (Application Programming Interfaces), which are the   digital ports making this communication possible. Together companies, interconnected through open APIs, form a true   API ecosystem , offering best-of-breed customer experience, by combining the digital services offered by multiple companies. In the   technology sector   this evolution has been ongoing for multiple years (think about the travelling sector, allowing you to book any hotel online). An excellent example of this

Are product silos in a bank inevitable?

Silo thinking   is often frowned upon in the industry. It is often a synonym for bureaucratic processes and politics and in almost every article describing the threats of new innovative Fintech players on the banking industry, the strong bank product silos are put forward as one of the main blockages why incumbent banks are not able to (quickly) react to the changing customer expectations. Customers want solutions to their problems   and do not want to be bothered about the internal organisation of their bank. Most banks are however organized by product domain (daily banking, investments and lending) and by customer segmentation (retail banking, private banking, SMEs and corporates). This division is reflected both at business and IT side and almost automatically leads to the creation of silos. It is however difficult to reorganize a bank without creating new silos or introducing other types of issues and inefficiencies. An organization is never ideal and needs to take a number of cons

RPA - The miracle solution for incumbent banks to bridge the automation gap with neo-banks?

Hypes and marketing buzz words are strongly present in the IT landscape. Often these are existing concepts, which have evolved technologically and are then renamed to a new term, as if it were a brand new technology or concept. If you want to understand and assess these new trends, it is important to   reduce the concepts to their essence and compare them with existing technologies , e.g. Integration (middleware) software   ensures that 2 separate applications or components can be integrated in an easy way. Of course, there is a huge evolution in the protocols, volumes of exchanged data, scalability, performance…​, but in essence the problem remains the same. Nonetheless, there have been multiple terms for integration software such as ETL, ESB, EAI, SOA, Service Mesh…​ Data storage software   ensures that data is stored in such a way that data is not lost and that there is some kind guaranteed consistency, maximum availability and scalability, easy retrieval and searching

IoT - Revolution or Evolution in the Financial Services Industry

1. The IoT hype We have all heard about the   "Internet of Things" (IoT)   as this revolutionary new technology, which will radically change our lives. But is it really such a revolution and will it really have an impact on the Financial Services Industry? To refresh our memory, the Internet of Things (IoT) refers to any   object , which is able to   collect data and communicate and share this information (like condition, geolocation…​)   over the internet . This communication will often occur between 2 objects (i.e. not involving any human), which is often referred to as Machine-to-Machine (M2M) communication. Well known examples are home thermostats, home security systems, fitness and health monitors, wearables…​ This all seems futuristic, but   smartphones, tablets and smartwatches   can also be considered as IoT devices. More importantly, beside these futuristic visions of IoT, the smartphone will most likely continue to be the center of the connected devi

PSD3: The Next Phase in Europe’s Payment Services Regulation

With the successful rollout of PSD2, the European Union (EU) continues to advance innovation in the payments domain through the anticipated introduction of the   Payment Services Directive 3 (PSD3) . On June 28, 2023, the European Commission published a draft proposal for PSD3 and the   Payment Services Regulation (PSR) . The finalized versions of this directive and associated regulation are expected to be available by late 2024, although some predictions suggest a more likely timeline of Q2 or Q3 2025. Given that member states are typically granted an 18-month transition period, PSD3 is expected to come into effect sometime in 2026. Notably, the Commission has introduced a regulation (PSR) alongside the PSD3 directive, ensuring more harmonization across member states as regulations are immediately effective and do not require national implementation, unlike directives. PSD3 shares the same objectives as PSD2, i.e.   increasing competition in the payments landscape and enhancing consum

Trade-offs Are Inevitable in Software Delivery - Remember the CAP Theorem

In the world of financial services, the integrity of data systems is fundamentally reliant on   non-functional requirements (NFRs)   such as reliability and security. Despite their importance, NFRs often receive secondary consideration during project scoping, typically being reduced to a generic checklist aimed more at compliance than at genuine functionality. Regrettably, these initial NFRs are seldom met after delivery, which does not usually prevent deployment to production due to the vague and unrealistic nature of the original specifications. This common scenario results in significant end-user frustration as the system does not perform as expected, often being less stable or slower than anticipated. This situation underscores the need for   better education on how to articulate and define NFRs , i.e. demanding only what is truly necessary and feasible within the given budget. Early and transparent discussions can lead to system architecture being tailored more closely to realisti

Low- and No-code platforms - Will IT developers soon be out of a job?

“ The future of coding is no coding at all ” - Chris Wanstrath (CEO at GitHub). Mid May I posted a blog on RPA (Robotic Process Automation -   https://bankloch.blogspot.com/2020/05/rpa-miracle-solution-for-incumbent.html ) on how this technology, promises the world to companies. A very similar story is found with low- and no-code platforms, which also promise that business people, with limited to no knowledge of IT, can create complex business applications. These   platforms originate , just as RPA tools,   from the growing demand for IT developments , while IT cannot keep up with the available capacity. As a result, an enormous gap between IT teams and business demands is created, which is often filled by shadow-IT departments, which extend the IT workforce and create business tools in Excel, Access, WordPress…​ Unfortunately these tools built in shadow-IT departments arrive very soon at their limits, as they don’t support the required non-functional requirements (like high availabili

An overview of 1-year blogging

Last week I published my   60th post   on my blog called   Bankloch   (a reference to "Banking" and my family name). The past year, I have published a blog on a weekly basis, providing my humble personal vision on the topics of Fintech, IT software delivery and mobility. This blogging has mainly been a   personal enrichment , as it forced me to dive deep into a number of different topics, not only in researching for content, but also in trying to identify trends, innovations and patterns into these topics. Furthermore it allowed me to have several very interesting conversations and discussions with passionate colleagues in the financial industry and to get more insights into the wonderful world of blogging and more general of digital marketing, exploring subjects and tools like: Search Engine Optimization (SEO) LinkedIn post optimization Google Search Console Google AdWorks Google Blogger Thinker360 Finextra …​ Clearly it is   not easy to get the necessary attention . With th

Deals as a competitive differentiator in the financial sector

In my blog " Customer acquisition cost: probably the most valuable metric for Fintechs " ( https://bankloch.blogspot.com/2020/06/customer-acquisition-cost-probably-most.html ) I described how a customer acquisition strategy can make or break a Fintech. In the traditional Retail sector, focused on selling different types of products for personal usage to end-customers,   customer acquisition  is just as important. No wonder that the advertisement sector is a multi-billion dollar industry. However in recent years due to the digitalization and consequently the rise of   Digital Marketing , customer acquisition has become much more focused on   delivering the right message via the right channel to the right person on the right time . Big tech players like Google and Facebook are specialized in this kind of targeted marketing, which is a key factor for their success and multi-billion valuations. Their exponential growth in marketing revenues seems however coming to a halt, as digi

AI in Financial Services - A buzzword that is here to stay!

In a few of my most recent blogs I tried to   demystify some of the buzzwords   (like blockchain, Low- and No-Code platforms, RPA…​), which are commonly used in the financial services industry. These buzzwords often entail interesting innovations, but contrary to their promise, they are not silver bullets solving any problem. Another such buzzword is   AI   (or also referred to as Machine Learning, Deep Learning, Enforced Learning…​ - the difference between those terms put aside). Again this term is also seriously hyped, creating unrealistic expectations, but contrary to many other buzzwords, this is something I truly believe will have a much larger impact on the financial services industry than many other buzzwords. This opinion is backed by a study of McKinsey and PWC indicating that 72% of company leaders consider that AI will be the most competitive advantage of the future and that this technology will be the most disruptive force in the decades to come. Deep Learning (= DL) is a s