A new co-published by the World Economic Forum and global consulting firm Bain & Company, found that blockchain’s distributed ledger technologies and other “fourth industrial revolution” technologies offer new efficiencies to small and medium-sized enterprises (SMEs) and emerging markets involved in global trade. These improvements in efficiencies could lead to a $1 trillion dollar improvement in the global trade finance gap. report The paper looks in particular at the effect and costs of the administrative processes involved in cross border transactions. These administrative processes could be simplified using distributed ledger technologies. At the same time, these technologies can also help prevent illegal trading activity by providing a complete record of the origins of various goods. The Limits of Paper-Based Documentation The authors argue that “archaic” paper-based processes are a major obstacle to global trade. One example it mentions is a test shipment of flowers from Kenya to the Netherlands, which generated 200 separate communications documents. The cost of processing these documents added up to approximately a fifth of the total physical transportation costs. Digitizing this supply chain would clearly improve efficiency and reduce costs. As the report states: “Transforming paper-based documentation into electronic formats and applying smart tools and technologies help to reduce trade barriers, particularly for small businesses and companies in higher risk developing countries.” The report concludes that digitization combined with blockchain technology can reduce the cost of cross-border movements of goods by eliminating the need for paper-based methods of documentation. Blockchain technology also allows for immutable and easily shared records. This could provide governments greater transparency of trade information to prevent smuggling and drug trafficking. Tracking shipments of goods from origin to consumer can also provide ethical source information increasingly demanded by today’s consumers. Blockchain could lead to 1.5% global GDP growth in the next decade The report estimates approximately 1.5 trillion dollars worth of trade has been lost due to rejected trade finance transactions. Blockchain technology could help meet this gap by addressing efficiency issues with trade and supply chain finance through managing paper intensive issues like letters of credit. Thus, improving trust and trade volumes. As a result, blockchain technology could allow $1 trillion of this lost trade revenue to be recovered over the next decade which would translate to 1.5% GDP growth based on 2017 levels. The explains the exact details of how this could happen, noting that blockchain technology can provide faster credit risk assessments, minimize human errors, and give instant verification and automatic execution of workflow through the use of smart contracts. It estimates that trade finance operating costs could be reduced by 50–70% and turnaround times of trade financing products substantially improved. full report Distributed ledgers will help to truly revolutionize trade when applied in conjunction with other technologies. Conclusion Blockchain technologies are already being developed in many markets to help improve cross-border transactions, payment processing, and global supply chains. The World Economic Forum report cites a number of examples of recent blockchain pilot project between technology companies, banks, and suppliers. With billions being invested globally into blockchain technologies, global supply chains and indeed global trade may well be one of the first areas to show significant benefit over the next decade, should adoption continue apace. Subscribe to my Medium and Twitter channels if you like my articles and want to learn more about blockchain and cryptocurrency projects. If you have any questions about this article, please add a comment in the section below. Thank you!

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Blockchain to Boost Global Trade by $1 Trillion: World Economic Forum

Blockchain to Boost Global Trade by $1 Trillion: World Economic Forum

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