A Study of Small and Medium-Sized Technology-Based Enterprises
in Different Risk Contexts
Zhonglong Yan
Royal Crown School, Scarborough, Toronto, Ontario, Canada, M1S 4G2, Canada
Keywords: Technology-Based SMEs, Market Risk, Financial Risk, Crowdfunding, Intellectual Property, Securitization.
Abstract: In China's persistent economic transformation and accelerated technological advancement, technology-based
small and medium-sized enterprises (SMEs) face an escalating array of multifaceted and interwoven risks.
This study investigates two exemplary cases—equity crowdfunding campaigns of technology companies and
the "Guangzhuanli" intellectual property (IP) securitization initiative—to explore how market and financial
vulnerabilities emerge and intersect. The research focuses on structural challenges SMEs face in adapting to
the digital ecosystem and accessing stable financial resources. The findings indicate that erroneous audience
segmentation and suboptimal outreach methodologies can amplify the susceptibility to demand-side volatility.
Concurrently, conventional financing frameworks, characterized by rigidity, impede access to long-term
financial resources. The case of "Broad Communication Power" underscores the potential of structured
finance instruments to transform intangible intellectual property assets into reliable cash flows, offering an
effective strategy for enhancing liquidity and creditworthiness. The paper emphasizes the interrelationship
between market and financial risk and proposes a comprehensive risk governance approach. The document
further puts forward policy recommendations, including enhancing consumer data comprehension,
establishing a standardized IP asset valuation mechanism, and promoting the utilization of financing
instruments such as IP-backed securities. These insights can assist policymakers and SME leaders in
developing a more profound comprehension of risk resilience strategies, thereby enhancing the financial
sustainability of China's innovation-driven economy.
1 INTRODUCTION
In the context of a shifting economic landscape and
the rapid advancement of digital technologies, small
and medium-sized technology enterprises (SMEs)
confront a unique set of risk challenges that are
particularly salient at their current stage of
development. Significant shifts in market structure
and the continuous evolution of financing channels
have exerted considerable pressure on enterprises
with limited resources, particularly in market
adaptation and capital acquisition. Compared with
large enterprises, small- and medium-sized
enterprises (SMEs) encounter inherent disadvantages
regarding brand influence, user base, capital reserves,
and risk resistance. This phenomenon is particularly
evident in the context of SMEs' entry into digital
platforms or the exploration of novel financing
methods. In such circumstances, they are more likely
to expose management flaws and strategic blind spots.
This paper selects two representative Chinese
technology-based SMEs as case studies. The present
study will examine the intellectual property
securitization financing projects of Fudi L
Technology Company and "Light Patent." The
present study analyzes the market feedback bias and
warm-up failure encountered by Company L in its
exploration of a crowdfunding platform. This analysis
demonstrates SMEs' typical risks regarding digital
market adaptability.
Furthermore, the study implements the "Light
Patent" ABS project, exploring the securitization of
intellectual property to alleviate the financing
pressure experienced by science and technology-
based SMEs. This practical and structural analysis
examines the logic behind the design. Concurrently,
the "Light Patent" ABS project is being implemented,
and the current state of science and technology-based
SMEs is being discussed, along with alleviating
financing pressure through intellectual property
securitization and the principles of structural design.
This section will thoroughly examine these two cases
92
Yan, Z.
A Study of Small and Medium-Sized Technology-Based Enterprises in Different Risk Contexts.
DOI: 10.5220/0014321100004718
Paper published under CC license (CC BY-NC-ND 4.0)
In Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence (EMITI 2025), pages 92-101
ISBN: 978-989-758-792-4
Proceedings Copyright © 2025 by SCITEPRESS Science and Technology Publications, Lda.
to distill the risk exposure characteristics of SMEs in
terms of economic fluctuations and viable coping
strategies. It will also provide empirical references
and policy suggestions for analogous enterprises.
2 MARKET RISK
2.1 Market Risk Overview
Market or systemic risk is the possibility that a firm
will incur losses due to external market fluctuations
in its daily business operations (Li & Wang, 2020).
This risk is often triggered by macroeconomic
fluctuations, cyclical adjustments within the industry,
changes in consumer demand, policy changes, or
uncertainty in the international environment (Niu,
2023). A wide range, uncontrollability, and rapid
propagation characterize market risk. Its main
manifestations include the obstruction of sales
channels, pricing system imbalance, demand decline,
and drastic changes in the competitive landscape,
especially the impact of new entrants on the
established market structure (Tan, 2025). SMEs
encounter numerous challenges in managing market
risks, particularly concerning capital reserves, brand
influence, and channel resources.
Additionally, they often lack effective buffer
mechanisms and emergency management capabilities
(Berger & Udell, 1998). Furthermore, the system's
capacity for risk identification is deficient. It tends to
lag in data monitoring, which can lead to empirical
decision-making. This, in turn, can amplify the risk
transmission effect. In the intricate and dynamic
market environment, shifts in consumer preferences,
policy directives, and sales channels render SMEs
more susceptible to external shocks, which manifest
in sales contraction, inventory accumulation, or
strategic missteps. Enterprises that depend
excessively on a solitary channel, exhibit inadequate
brand loyalty, and possess deficient emergency
response protocols are predisposed to encounter
difficulties in abrupt policy or market shifts. The
digital environment has further intensified
competition. The paradigm shift from a "goods-
looking-for-people" model to the conventional
"people-looking-for-goods" logic reconfigures the
user acquisition path. It is imperative for SMEs to
swiftly adapt to the consumption mechanism driven
by content recommendation and social interaction.
Otherwise, adequate coverage of target customers
will be challenging to achieve. Conversely, by
proactively shaping the information flow, for instance,
through precision marketing and user data
optimization, they can achieve market breakthroughs
and establish a competitive advantage in the new
industry. This paper utilizes L Technology Company
as a case study to investigate its optimization of
product and marketing pathways by utilizing a
crowdfunding feedback mechanism within a digital
platform environment. The objective of this analysis
is to achieve market adaptation and risk response
under resource constraints, thereby providing
research references for the risk management practices
of SMEs.
2.2 Case Background: L Technology
Company's Business and
Crowdfunding Approach
L Technology, a small and medium-sized technology
enterprise, was founded in June 2014 and is registered
in Qingdao, Shandong Province. The primary focus
of this enterprise is the research and development of
innovative applications of intelligent hardware. In the
nascent stage of its development, the company drew
upon the research and development resources and
production platform of the Haier Group to conduct
preliminary explorations in the domain of smart home
technology. The initial product development focused
on creating portable temperature control devices,
wireless connection modules, and other products. The
services were primarily directed towards large-scale
brand manufacturers, with B-end customization as the
primary operational modality. In its nascent operation
stage, L Technology has primarily concentrated on
developing technological output while concurrently
amassing expertise in product design and the
execution of small-scale production initiatives. 2015
the company initiated its inaugural equity
crowdfunding campaign using an Internet platform.
This strategic initiative diversified its financial
avenues and facilitated the exploration of its brand
within the consumer market. As the company has
gradually transitioned from its original focus on OEM
(Original Equipment Manufacturer) services to an
emphasis on independent brand development, it has
formulated a strategic direction emphasizing both
hardware capabilities and the development of
consumer brands. In 2017, the company completed
the listing on the "New Third Board," a move
intended to promote the standardization and long-
term growth of the organization with the help of the
capital market. Standardization and long-term growth.
By 2020, the company's team size is expected to
range from 30 to 50 individuals, with a significant
proportion of the staff comprising technical positions.
This team will possess a streamlined structure,
A Study of Small and Medium-Sized Technology-Based Enterprises in Different Risk Contexts
93
flexible project response capabilities, and the capacity
to test and adjust products rapidly. While undergoing
a brand transformation, the company's management
acknowledges that direct entry into the traditional
consumer market presents considerable challenges,
including significant marketing expenses, the
complexity of expanding channels, and delayed user
feedback. This is particularly salient in contexts
characterized by a dearth of a consumer base and
terminal resources. Consequently, ascertaining the
market value of the product with precision has
become a pivotal challenge. Consequently,
enterprises are increasingly leveraging crowdfunding
platforms as a strategic breakthrough to achieve
multifarious objectives, including initial exposure,
market testing, and cash flow balance.
In contrast to the prevalent "promotion-oriented"
crowdfunding models, L-Tech's approach is
characterized by a strategic element. We can ascertain
the rationality of product design and functional
orientation through meticulous observation of user
behaviour, including their propensity to pay,
interactive tendencies, and content evaluation. The
team regards this "market inversion-user
participation" approach as a key risk control link,
which helps to screen the product value and optimize
the decision-making process under the circumstances
of controllable upfront investment. On May 18, 2015,
L-Tech launched its first branded product project on
the Jingdong Crowdfunding Platform, "M-911" smart
thermostat, marking its first public digitalization
attempt for the C-end market. The project's 40-day
cycle was designed with a multi-stage support
mechanism, encompassing giveaways, fan status, and
cooperative agents. This approach ultimately
garnered the support of more than 28,000 users.
Following the project's successful completion, the
company recovered the initial capital investment and
obtained substantial real data regarding the target
users' preferences, functional requirements, and
marketing communication pathways through the
platform's feedback mechanism. The crowdfunding
experience also prompted the company to transform
its internal product process from an engineering-
oriented development mechanism to an iterative
system emphasizing user input and data feedback.
Since then, L Technology has adopted "platform
verification" as a mandatory step before product
launch, and has progressively established a data-
centred and user-oriented product-market interface
path, laying a methodological foundation for
subsequent product launches and independent
operations (Lu, 2023).
2.3 Risk Exposure Process: Market
Feedback Deviates from
Expectation
During the initial stage of the project launch,
Company L primarily utilized WeChat to disseminate
information. This communication platform was
employed for promotional and informational
purposes, including disseminating updates,
announcements, and relevant content. In addition to
WeChat, Company L also employed its official
website and select WeChat groups as channels for
sharing information. This communication method is
characterized by its relative closure, which is
evidenced by its limitation to existing customers and
technical circles. This limitation results in a lack of
external diffusion ability, thereby hindering the reach
of crowdfunding information to a broader range of
potential consumer groups. Simultaneously, the
publicity content places excessive emphasis on
product technical parameters. The current publicity
content disregards the user's interest in driving, the
absence of specific application scenarios, and its
failure to be structured around the user's real needs.
Consequently, the content is challenging to inspire
resonance or to prompt purchase behaviour, and it is
not easy to stimulate interest in purchasing. A more
critical issue is the concentration of publicity release
times in the noon or afternoon of weekdays. This
timing does not consider the media use habits of the
target group, and it misses the evening peak hours
(e.g., 8:00 p.m. to 10:00 p.m.). As a result, it is not
easy to form a centralized exposure of the publicity
content, even if it is released. Due to numerous factors,
the project encountered the following predicament at
the project's nascent stage: insufficient exposure,
limited clicks, and low conversion.
For instance, during the initial week of the
promotional campaign, the project garnered fewer
than 500 clicks, exhibiting a conversion rate of less
than 1%. This figure contrasts with the industry
standard conversion rate, which ranges from 3% to
5%. Concurrently, the company has deviated from the
positioning of users, and its communication strategy
primarily focuses on platform fan images such as
"technology enthusiasts" and "young engineers."
However, this strategy neglects the realistic
requirements of crowdfunding projects regarding
users' willingness to buy and ability to pay. While this
population segment may indeed be interested in
developing new products, converting this interest into
tangible support is impossible. The company's
strategic decisions, which included significant
investments in communities promoting technical
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exchanges, such as Zhihu, V2EX, and Jianshu, while
neglecting to establish a closed-loop communication
system on platforms with a consumer-oriented
atmosphere, including Jittery, Xiaohongshu, and B
Station, have led to a conspicuous mismatch between
the subjects of "hot topics and cold orders" and "high
interaction and low conversion." The structural
incongruity between the prevalence of a particular
topic and the relative infrequency of related orders.
For instance, although Zhihu has garnered more
discussions and favourable ratings, these interactions
have not been translated into tangible support for its
projects. This outcome indicates that its content
marketing strategy has not yet established a cohesive
closed-loop system. During the initial three days
following the project's initiation, the platform's
recommendation mechanism was employed to
generate limited exposure. However, there was a
conspicuous absence of recognition and trust between
users and the product. Despite the substantial number
of views, there was minimal support. In practice,
despite the platform's extensive exposure, the growth
of its supporters was gradual, and the conversion rate
was notably low. This suggests that users were not
sufficiently motivated to participate. Consequently,
as the weight of the platform's recommendation
diminished, the project was expeditiously substituted
by alternative products, resulting in a precipitous
decline in demand. A review of the project's
execution reveals several notable shortcomings on the
company's part. First, a timely FAQ area was not
established, and a user community was not cultivated.
Additionally, a mechanism for progress updates
and communication was lacking. It is also important
to note that user feedback was not addressed, which
further eroded the confidence of potential supporters.
Concurrently, the company did not have prior
performance records or case support, and it failed to
establish a reliable supply-side image on the platform.
Consequently, a significant number of watchers
ultimately chose to withdraw. According to the
estimated conversion model, the project was
scheduled to achieve at least 40% fundraising
progress within two weeks. However, it only reached
approximately 10%, failing to meet the platform's
basic recommendation criteria and resulting in sunk
publicity costs. On the 16th day of the project, the
company made the strategic decision to transition
offline and announced the cessation of crowdfunding,
redirecting the product toward a B-end customization
trajectory. Concurrently, the marketing team
underwent structural adjustments, signifying the
termination of the market-based financing approach
(Lu, 2023).
2.4 Risk Impact Assessment: The
Chain Reaction of Crowdfunding
The failure of Company L's crowdfunding initiative
instigated a sequence of cascading events. Initially,
the brand's credibility suffered a setback, and certain
supporters voiced their discontent on social media
platforms. Some even discontinued their patronage,
which deleteriously affected the company's
reputation. Secondly, the company was compelled to
modify its budget structure internally to address the
discrepancy in market expectations. This entailed
reallocating a portion of the funds initially allocated
for online promotion back to offline channels and
discontinuing the original digital marketing program.
Thirdly, employee sentiment was profoundly
impacted, with the core product team expressing
reservations regarding the project's viability, certain
members indicating an inclination to resign, and a
decline in team morale. Finally, the failure revealed
the incongruity between the users of the digital
platform and the actual consumer population.
Consequently, the company's confidence in the
digital market diminished, suspending the originally
planned platform expansion and new product
crowdfunding program. The overall pace of the
transition was significantly slowed down (Lu, 2023).
2.5 Case Summary and Lessons
Learned
This case exemplifies the evident deficiencies of
Company L in terms of market discernment and risk
management. The core error committed by the
company was its inability to differentiate between
technical fans on digital platforms and consumers
who genuinely intended to purchase the product. This
failure resulted in a lack of data support for strategy
development and significant judgmental bias. This
experience underscores the significance of
conducting thorough user research and path
simulation before SMEs enter a new market, instead
of merely applying industry experience.
Simultaneously, it is imperative to acknowledge that
the efficacy of a channel selection is not contingent
upon its novelty; rather, its appropriateness is
paramount. That is to say, the selection should align
with the target user's behaviour and consumption
patterns, ensuring optimal effectiveness. Project
experience prompts enterprises to exercise caution in
making key decisions without empirical data,
particularly regarding fundamental issues such as
product pricing, platform placement, and target user
A Study of Small and Medium-Sized Technology-Based Enterprises in Different Risk Contexts
95
positioning. These decisions must be data-driven and
market-oriented (Lu, 2023).
3 FINANCIAL RISKS
3.1 Overview of Financial Risk
Financial risk is the potential for business interruption
or financial crisis, precipitated by inadequate liquidity,
diminishing solvency, and a deteriorating credit
rating. This can result from an imbalance between
fund supply and demand, an irrational financing
structure, or external financial fluctuations (Hu &
Zhang, 2018). The financial risks confronted by
science and technology-based SMEs in the growth
process are characterized by structural, systemic, and
high-frequency episodes, which are manifested in
capital rupture, debt default, and capital structure
imbalance. High-tech enterprises depend heavily on
technology research and development, significantly
impacting their asset composition. These enterprises
typically possess primarily intangible assets, a
singular source of revenue, a protracted liquidity
cycle, and generally unstable cash flow. Carpenter
and Petersen have noted that high-tech enterprises
frequently encounter constraints in their financing
due to the absence of collateral and the paucity of
mature financial models. These enterprises are
compelled to maintain ongoing investment before the
realization of returns, and they are susceptible to
disruptions in their capital chain when external
market fluctuations occur. Furthermore, the
aforementioned enterprises generally face challenges
in accessing conventional financing mechanisms.
Consequently, they predominantly resort to short-
term financing options or high-interest credit options.
The repayment of debt is predominantly contingent
upon projected earnings, and their financial solvency
is susceptible to project delays or a sluggish market
(Carpenter & Petersen, 2002). Berger and Udell posit
that the dearth of effective information disclosure
mechanisms and the inadequacy of credit ratings
engender financing conditions often inequitable for
science and technology-based SMEs, heightening the
risk of default due to elevated leverage (Berger &
Udell, 1998). Udell further posits that high-
technology SMEs frequently encounter inequitable
financing conditions due to inadequate information
disclosure mechanisms and the weakness of credit
rating bases. Sogorb-Mira further noted that the
proportion of their short-term liabilities is excessive,
their capital is inadequate, and the pressure of fund
scheduling increases considerably. Of particular
concern is the interconnected nature of these three
types of financial risks, which have been
demonstrated to be highly interrelated. The
occurrence of capital breaks has been shown to
weaken debt-servicing capacity, which can
subsequently lead to defaults. This, in turn, has
resulted in the erosion of confidence in external
financing, the exacerbation of capital structure
imbalances, and the eventual induction of systemic
risks (Sogorb, 2005). Bottazzi et al. demonstrate that
when innovative firms encounter a financial
imbalance, they often experience protracted recovery
periods and intricate pathways rife with risk. These
firms are highly vulnerable to the "financing crunch-
debt service default-credit imbalance phenomenon."
Moreover, enterprises operating within the scientific
and technological sector are confronted with a myriad
of challenges, including but not limited to: high-
intensity investment and capital deposition,
protracted research and development (R&D) cycles,
and the uncertainty surrounding the translation of
research outcomes into practical applications. These
challenges often result in a significant long-term
occupation of capital (Bottazzi & Tamagni, 2008).
Despite the utilization of patented technology, the
absence of mature financial records and an evaluation
system poses significant challenges in obtaining
support from traditional financial institutions.
Structural deficiencies in the financing channels have
been identified as a significant challenge. Bank credit
preference for tangible assets, stable cash flow, and
science and technology-based enterprises is mostly
for light assets. Financial indicators fluctuate, making
it difficult to meet their risk appetite. The capital
market requires high information disclosure and
standardization; most unlisted enterprises cannot
meet these standards, and financing options are
limited. Without multi-layer capital support, the
available means of financing are constrained to
internal accumulation, debt financing, or policy funds,
an inefficient and costly strategy. Existing guarantee
and risk compensation mechanisms are inadequate in
addressing the unique characteristics of these risks,
and financial products often lack suitability, resulting
in a significant mismatch in the allocation of
financing resources. In the face of traditional
financing problems, some enterprises have attempted
to introduce structured tools, such as asset
securitization. A notable example is the Guangzhou
"Guang Patent" ABS project, China's inaugural
securitization product derived from patent licensing
revenue rights. This project has paved the way for the
"assetization-securitization-financing" of intangible
assets, a process facilitated by incorporating SPV,
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implementing credit enhancement mechanisms, and
involving state-owned enterprises. The introduction
of SPV, credit enhancement, and the participation of
state-owned enterprises has enabled the realization of
the "assetization-securitization-financing" of
intangible assets. This has effectively alleviated the
financing difficulties experienced by science and
technology-based SMEs and demonstrated the real
value of intellectual property securitization in science
and technology finance (Wei, 2021).
3.2 Introduction to the Case
Background: Overview of the
"Guangdong Patent" ABS
Financing Project
The "Guangzhou Patent" ABS project represents a
pioneering development in China's financial
landscape, as it is the country's first intellectual
property securitization product. This innovative
financial instrument utilizes patent license revenue
rights as the sole underlying asset, a move that is
spearheaded by the Guangzhou Development District
(GDD). The project, formally referred to as the
"Société Générale-Guangzhou Development Zone
Patent License Asset Support Special Program,"
involves the utilization of assets from multiple
science and technology enterprises within the
jurisdiction. These enterprises have consolidated their
patent license rights and transferred their revenue
rights to establish a stable cash flow. This cash flow
serves as a foundation for the issuance of securities
products. The asset pool employs a multi-subject
integration model, comprising patent license
agreements from disparate enterprises, with robust
risk diversification and cash flow anticipation. A
Special Purpose Vehicle (SPV) was incorporated into
the project structure to facilitate the independent
patent and revenue rights operation through dual
licensing arrangements. A multi-layered credit
enhancement mechanism was implemented,
encompassing features such as a senior/subordinated
structure, excess cash coverage, and differential
payment commitments. This mechanism was
introduced to safeguard the credit rating and
issuability of the securities.
The project was finalized, established, and
successfully issued at the Shenzhen Stock Exchange
in September 2019, with a total value of RMB 301
million. The issuance signifies a pivotal moment in
China's intellectual property securitization journey, as
it marks the completion of a closed loop in practice.
This development provides a technical framework
that enables intangible assets to participate in the
capital market. The project under consideration
constitutes the inaugural instance of IPR ABS, and it
is characterized by its elevated level of
standardization and innovation concerning the
following aspects: product structure design, asset
screening logic, cash flow construction, and risk
control arrangements. A distinguishing feature of this
initiative is its integration of a balanced approach to
policy orientation and market mechanism, along with
a recognition of the commercial replicability of
financial products. The successful initiation of the
project is not only of pilot significance, but also
establishes the technical and institutional foundation
for constructing an intellectual property capitalization
system. The project's overarching objective is to
address the systemic exclusion problem of science
and technology-based SMEs within the conventional
financing system. Given that such enterprises
primarily operate with limited assets, it is challenging
to capitalize on core resources, such as patents and
technologies, through conventional credit channels.
Consequently, their financing options have been
constrained for an extended period. The project's
approach to recognizing future patent licensing
revenue as cash flow assets is characterized by its
standardization and structuring, facilitating the
establishment of stable financing channels that do not
necessitate physical collateral. Concurrently,
establishing a local, state-owned platform for credit
enhancement has enhanced financial institutions' and
investors' acceptance and risk tolerance. This, in turn,
has led to a systematic opening up of the conduit
between scientific and technological achievements
and the capital market.
Regarding the project's financing effectiveness, it
has achieved two primary objectives. First, it has
facilitated the rapid availability of funds while
effectively managing financing costs. This has led to
a notable alleviation of the pressure associated with
cash flow tension during enterprise expansion.
Second, the project has demonstrated intellectual
property securitization's genuine value and
operational feasibility in serving the real economy
(Berge & Udell, 1998).
3.3 Financial Risk Manifestation:
Traditional Financing Methods Are
Difficult to Meet Development
Needs
The financial risks faced by science and technology-
based SMEs in the process of financing are not
isolated and occasional occurrences; instead, they are
a concentrated manifestation of the severe mismatch
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97
between their enterprise characteristics, such as light
assets, unstable cash flow, and difficulties in credit
assessment, and the existing credit logic. Enterprises
generally lack collateralized physical assets,
complicating the procurement of adequate financing
from banking institutions that utilize collateral as the
primary risk management instrument. In the context
of information asymmetry, financial institutions
exhibit reluctance to extend credit, even at elevated
interest rates, as this practice may attract high-risk
borrowers, thereby elevating the likelihood of default.
This theory is particularly well-suited to the financing
challenges faced by science and technology-based
enterprises. These enterprises often encounter
difficulties quantifying credit risk due to the absence
of stable historical data and standardized assets.
Consequently, they are systematically excluded from
mainstream financing channels (Stiglitz & Weiss,
1981). Secondly, the corporate credit rating system is
disadvantageous to SMEs. Demirgüç-Kunt et al.
demonstrate in their study of the global credit system
that the absence of a reliable credit history and a
mechanism for information disclosure frequently
constitutes the underlying cause of the general
challenge and elevated cost of financing for SMEs. In
such cases, even if financial institutions are inclined
to extend credit, they frequently impose exorbitant
interest rates or stringent guarantee requirements,
thereby exacerbating the financial strain experienced
by enterprises (Demirgüç-Kunt, Beck, & Honohan,
2006). Concurrently, the enterprise's cash flow
structure exhibits an absence of elasticity.
Science and technology-based SMEs in the R&D
investment stage encounter a prolonged period of
non-return, and their market transformation is
contingent on the technological sophistication and
market acceptance of the associated uncertainty.
Consequently, their overall solvency is profoundly
influenced by external financial support. Inadequate
financing can potentially culminate in the dissolution
of the capital chain. Beck and Demirgüç-Kunt further
noted that, despite most banks recognizing the
profitability potential inherent in SMEs, the absence
of policy protection or guarantees hinders financial
support for SMEs. Beck and Demirgüç-Kunt further
noted that while most banks recognize the
profitability potential of SMEs, in the absence of
policy protection or market stability, banks are more
inclined to serve low-risk large enterprises, thus
creating a "financing discrimination" in the system
(Beck & Demirgüç-Kunt, 2006).
Furthermore, the short-term characteristics of the
financing structure have been identified as a
significant contributing factor to the concentration of
financial risk. Empirical research conducted by
Cabral and Mata indicates that SMEs frequently
depend on short-term loans to sustain operations in
the initial stages of their development. However,
accessing low-cost, long-term capital support that
aligns with their long-term development needs is
challenging. This financing structure exhibits a
deficiency in its capacity to mitigate the impact of
fluctuations in cash flow, thereby amplifying risk
concentration (Cabral & Mata, 2003). The financial
risk posed by science and technology-based SMEs
does not stem from a single variable; rather, it is the
consequence of a discrepancy between corporate
attributes and financial logic. The resolution of this
issue necessitates a multifaceted approach,
precluding reliance on adjustments to credit rates or
policy subsidies in isolation. A comprehensive
strategy is imperative, encompassing the promotion
of financial information infrastructure at the
institutional level, the enhancement of the enterprise
credit data system, and the strategic allocation of
funds to high-potential innovative enterprises. This
comprehensive approach is instrumental in achieving
a dual optimization: enhancing the efficiency of
financial resource allocation and fostering enterprise
growth.
3.4 Project Design Features:
Optimizing Financial Structure
Through Securitization
It is reasonable and feasible for this project to select
patent royalty income as the underlying asset for
securitization. From an asset perspective, this
particular income right has been derived from mature
patent licensing transactions, characterized by a
foundation of rights and a predictable future cash
flow. This fulfills the fundamental criteria for
securitization, specifically the "stable and predictable
income" aspect (Wei, 2021). Concurrently, patent
license income rights diverge from conventional
enterprise assets regarding their independence from
substantial asset backing. This attribute aligns with
the evolving nature of science and technology-based
SMEs, which are characterized by their asset-light
structure and pronounced knowledge-intensiveness.
Through the structured transformation of such
intangible assets, the project realizes the path
innovation of "generating debt by right - generating
gold by debt," which opens up a capital market
financing channel for SMEs lacking physical
collateral (Odasso & Ughetto, 2011). The "dual
licensing model" is employed in the project design to
construct the asset cash flow path.
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In the initial step, the original patent proprietor
will authorize the patent's exclusive implementation
right to the project sponsor (or the SPV established by
it), which will pay a one-time hefty licensing fee as
the underlying cash flow of the underlying debt assets.
In the subsequent step, the sponsor will reverse-
authorize the same patent to the original proprietor. In
the subsequent step, the initiator will reverse-license
the aforementioned patent back to the original owner.
The original patent owner will then be responsible for
paying the usage fee regularly, thereby establishing a
long-term cash flow back arrangement (Wei, 2021).
The primary benefit of this model is that it facilitates
the prompt determination of the patent's market value,
enabling the immediate generation of revenue
through the initial authorization. This enhances the
efficiency of asset realization. Conversely, the
reverse authorization ensures that the enterprise
maintains its control over the technology,
safeguarding the path for commercializing the
patented technology and ensuring revenue generation.
For business entities, such arrangements
effectively front-load the time point of patent revenue
realization, alleviate liquidity constraints, optimize
the short-term asset and liability structure, and
enhance their financial sustainability (Keynes, 1936).
Regarding the credit enhancement mechanism, the
project introduces state-owned enterprises as the
guarantor, thereby providing full joint and several
liability guarantees for the principal and interest
repayment of the securities products. SOEs possess
stable financial status, policy credit endorsement, and
favourable rating records, enabling the securities
product to transition from BBB of the underlying
assets to AA or higher within the credit rating system
(Wei, 2021). This credit enhancement effectively
reduces the market's pricing requirements for the
product's credit risk, thereby compressing the
issuance rate and substantially reducing the financing
cost. For instance, the guarantee mechanism has been
demonstrated to reduce financing rates by
approximately 150-200 basis points in analogous
projects (Campbell & Taksler, 2003). This
development has the effect of enhancing the
efficiency of financing and the market's propensity to
subscribe.
Regarding asset pool construction, the project
follows the principle of "decentralization, equal
quality, and heterogeneous origin." The project
screens and allocates underlying assets from multiple
dimensions, such as industry, geography, and
technology. Specifically, the strategy prioritizes
patent revenue rights that exhibit high technological
maturity, a favourable licensing history, and stable
industry demand. Additionally, it establishes an upper
limit on the proportion of patent licenses granted to a
single industry or enterprise, with a maximum limit
of 20%, to mitigate the concentration of assets (Wei,
2021). The initiative encompasses regional projects in
the eastern, central, and western regions, intending to
enhance geographical dispersion. This combination
helps to control the risk of "individual defaults"
locally, which is not easy to trigger a systemic chain
reaction, and at the same time improves the overall
risk-resistant ability of the asset pool and the stability
of the payment ability of the securities products
(Schwarcz, 1994).
3.5 Financing Effect Analysis: Actual
Results in Alleviating Financial
Risks
Following the implementation of the project, a
favourable financing effect has been reflected in
various financial indicators and market feedback. On
the one hand, the securitization of intellectual
property effectively broadens the financing channels
of enterprises, surpasses the high requirements for
physical collateral and credit rating in traditional
financing, and significantly improves the availability
and flexibility of financing. At the same time, the
issuance of asset-backed securities introduces a new
source of external funding for enterprises, with a
broader coverage of the scale of funding and a more
reasonable term structure. As demonstrated by the
available data, the cost of project financing is lower
than the bank loan interest rate of approximately 150
to 200 basis points during the same period. This result
is significantly better than the traditional credit model.
Furthermore, the stable cash flow is based on
alleviating the short-term debt service pressure of the
enterprise (Wei, 2021). Conversely, the consistent
and reliable capital infusion has been demonstrated to
enhance enterprise liquidity and bolster financial
soundness. The credit rating of the original equity
holders also improved after the project
implementation, reflecting the positive repair effect
of the securitization structure on the credit image of
the enterprise. Moreover, the successful issuance of
the project in the capital market also laid the
foundation for the company to expand its direct
financing and attract the attention of long-term
investors in the future, further enhancing its visibility
and bargaining power in the capital market. The
project has engendered several beneficial feedback
loops, including financing efficiency, credit
reshaping, and risk mitigation. Collectively, these
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outcomes establish a replicable model of capital tool
innovation for technology-based SMEs.
3.6 Summary: Intellectual Property
Securitization is an Important Tool
for Financial Risk Management
The "Broad Patent" ABS case exemplifies the
practical application of structured finance design in
addressing the financing constraints experienced by
SMEs. The project offers a financing channel for
science and technology-based enterprises
characterized by its operability, efficiency, and cost-
effectiveness. This channel is made possible by
integrating and packaging patent licensing rights,
supplemented by a dual-licensing structure, a credit
enhancement mechanism, and a decentralized design
of asset pools. This model facilitates the
transformation of intangible assets into predictable
cash flows, thereby enabling the realization of their
value within the capital market. Consequently, it
mitigates the reliance on collateral and credit rating
under traditional financing methods (Wei, 2021). As
demonstrated by this case, the securitization of
intellectual property rights can have several
consequences, including enhancing an enterprise's
creditworthiness, optimizing its capital structure, and
diversifying financial risks. The successful promotion
of financial engineering is contingent upon more than
just the system design itself. In addition, it is
imperative to consider the role of supporting policies,
the legal environment, and market mechanisms. It has
been posited that the securitization of intellectual
property assets can enhance the diversity of financing
channels and improve the pricing ability and anti-risk
elasticity of enterprises in the capital market (Odasso
& Ughetto, 2011). In order to achieve a broader range
of applications in the future, it is necessary to improve
further the intellectual property rights system,
evaluation standards, and issuance support
mechanism. Furthermore, this type of innovative
financing path must be institutionalized and
normalized.
4 CONCLUSION
In the context of profound economic restructuring and
accelerated technological advancement, the external
environment confronting SMEs in science and
technology has become increasingly intricate, with a
risk structure characterized by multiple intertwined
and rapid transmission pathways. This paper
systematically analyzes the risk exposure paths and
structural contradictions of small and medium-sized
science and technology enterprises in the market
adaptation and financing system. The analysis is
based on two typical cases: "L Technology
Company" and "Guang Patent ABS." The study
indicates that market risk and financial risk are the
primary factors impeding the sustainable
development of SMEs. Although independent, the
two types of risks frequently cause and effect each
other and interact with each other in enterprise
practice. At the level of market risk, deviations in the
enterprise's user positioning, communication
channels, marketing strategy, and other elements
under the digital platform will directly trigger a chain
reaction of "cognitive mismatch—traffic
imbalance—conversion obstruction." This, in turn,
will significantly impact the enterprise's brand
credibility and business continuity. The failure of L-
Tech's crowdfunding case illuminates systemic
challenges SMEs face in emerging market
environments. These challenges include biased
strategic judgment, inadequate databases, and a
paucity of content closure. The study revealed that,
from a financial risk perspective, SMEs in the science
and technology sector encounter significant
challenges in aligning with the risk management
principles of traditional financial systems due to the
inherent characteristics of their assets, which are
characterized by their low asset quality, long lifecycle,
and limited creditworthiness. These challenges result
in systematic impediments within the financing
structure, debt repayment mechanisms, and capital
liquidity. The "Broad Patent" ABS project
exemplifies the efficacy of intellectual property
securitization in optimizing financial structures,
upgrading credit ratings, and alleviating capital
pressure from the perspective of structural innovation.
This initiative establishes a replicable best practice
model for SMEs to overcome financing constraints.
The comprehensive research findings indicate that the
risk faced by SMEs in the science and technology
sector is not a transient crisis precipitated by a solitary
variable. Instead, it is the consequence of a protracted
accumulation of structural conditions. Consequently,
enterprises seeking to enhance their risk management
capabilities must fortify internal mechanisms such as
data modelling, user insight, and asset allocation and
consider the congruence between external
institutional conditions and these efforts. It is
imperative to recognize the necessity of a flexible and
responsive financial support framework for SMEs,
particularly in light of their challenges. In addition,
implementing a policy protection mechanism is
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crucial to ensure their stability and resilience in the
face of economic uncertainties. In the future,
developing a multi-level capital market and an
inclusive financial system will be a primary strategy
for addressing their structural challenges.
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