Technology-enabled financing of sustainable infrastructure: A case for blockchains and decentralized oracle networks

Kenneth Hsien Yung Chung, Dan Li and Peter Adriaens

Technological Forecasting and Social Change, 2023, vol. 187, issue C

Abstract: The capital required to maintain infrastructure in good repair falls short globally. This is commonly referred to as the “infrastructure finance gap”. To address climate change, transitioning from conventional to sustainable infrastructure further imposes financing challenges. This study employs the Model approach to justify and predict how blockchain technologies can leverage infrastructure data to close the finance gap by introducing new financing mechanisms. A semisystematic literature review was carried out for infrastructure finance, sustainable infrastructure and smart cities finance mechanisms, as well as blockchains and oracles. Conventional infrastructure finance via debt and equity lacks benchmarks that reflect the risk-return characteristics of the asset class. Performance-based financing addresses this issue by integrating performance data in valuations. However, a lack of trust in data veracity remains. Blockchains provide trust and transparency in data and transactions. They utilize oracles to access off-chain information for on-chain decision-making. With smart contracts and decentralized oracle networks, a general approach is presented where data from internet-of-things inform on-chain transactions, delivering performance benchmarks that accurately reflect the risk-return characteristics in an infrastructure investment. Capital can then be more readily deployed, thus closing the finance gap. An end-to-end example of financing sustainable stormwater infrastructure, Open Storm, is also presented.

Keywords: Sustainable infrastructure; Performance-based finance; Blockchain; Decentralized oracle network (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:187:y:2023:i:c:s004016252200779x

DOI: 10.1016/j.techfore.2022.122258

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