Havas Blockchain supports companies in their plans to recover helicopter funds
In a context of unprecedented health and economic crisis Havas blockchain launches a tailored offer to support public and private actors who want to do this economic support plans through so-called “strategies Helicopter money “”
While the United States has just adopted a $ 850 billion economic plan and other states and local governments are preparing to take the plunge, our solution is based on creating digital portfolios for citizens or businesses in an area or state. The advantage: a method that is very well suited for central banks or other actors and aims to send money to predetermined goals and in the form of Stable coins. The interest is clear: funds are collected directly from citizens without intermediaries, which has a direct impact on their purchasing power, “said Milan Orban, an analyst at Havas Blockchain.
The so-called ” Helicopter money Is a monetary policy for a central bank to create money and distribute it directly to citizens through a citizen dividend. The theory was democratized in 1969 by Milton Friedman The optimal amount of money.
To date, these strategies are empirical and may prove counterproductive or dangerous if not properly assessed. But theoretically they remain an alternative to the more general strategies called ” Quantitative easing “” Several national and local governments are currently developing such strategies, some of which already concern blockchain infrastructures, for example in Korea in the Gyeonggi province.
Our approach enables companies, national governments, local communities and generally public and private actors to implement digital and personalized recovery plans (regardless of their scope or objectives). Blockchain technology promotes secure transactions and at the same time promotes the transparency of such plans, ”said Fabiensequen, head of Havas Blockchain.
This article is a press release shared with Cryptonaute and published for informational purposes. It was not written by our team.