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Malaysia - Assessment of the Start-Up Financing Ecosystem

Authors: Kuriakose, Smita; Fong, Kristina Siew Leng; Loh, John Jaan Hui; Zakaria, Mohamad Izwan Bin;

Malaysia - Assessment of the Start-Up Financing Ecosystem

Abstract

In the context of the Coronavirus (COVID-19) pandemic and its impact on Malaysia's economy, the need to foster the emergence of an innovation-led economy has taken on increasing urgency. Public-sector involvement in the early-stage financing phase of the ecosystem is integral to crowding-in private investments, as seen by the impact of the establishment of government-sponsored venture capital (VC) funds in several small OECD countries, including Estonia and Finland. In turn, improved access to finance at the initial stages of a start-up and the crowding in of private capital will play a pivotal role in strengthening the entrepreneurship ecosystem. The government has devised a number of developmental roadmaps that emphasize the greater use of alternative forms of financing, such as VC and digital platform based models, including peer-to-peer financing (P2P) and equity crowdfunding (ECF). These strategies are an integral part of the government's strategies for maintaining growth as Malaysia achieves high-income nation status. This study aims to identify the financing gaps in Malaysia's start-up financing ecosystem and to propose specific policy levers to address the identified constraints on both the availability of and access to early-stage financing.

Country
United States
Related Organizations
Keywords

330, FINANCIAL SECTOR POLICY, COVID-19, CORONAVIRUS, PANDEMIC

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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Green