In the digital economy era, new quality productive forces (NQPF) has become a critical driver of high-quality economic development in China. To unveil its core characteristics and practical pathways, this study analyzed 6570 media reports on NQPF from mainstream publications dated August 2023 to July 2024. Using the TextRank-Word2Vec-K-Means method and the BERTopic model, the study identified the macro-level and micro-level thematic features of NQPF and constructed a hierarchical thematic framework. It found that, at the macro level, NQPF is characterized by five dimensions:new industrial forms, new strategic goals, new production methods, new technological means, and new supply-demand models. At the micro level, NQPF demonstrates deep integration with 25 specific fields, including rural revitalization, industrial manufacturing, and regional synergy. This indicated that the development of NQPF is driven by disruptive and frontier technologies, featuring multidimensional collaboration to propel industrial transformation and upgrading. These findings will provide critical insights for governments in policy making and for enterprises in reform and innovation, and offer both theoretical foundations and practical guidance for promoting China's high-quality economic development.

Driven by the mission to address national strategic needs, establishing a mission-oriented ecosystem holds significant importance in addressing China's key core technology breakthrough challenges with strategic and social contextual characteristics. Based on the theory of ecosystem orchestration, an exploratory single case study method was adopted to select the Yangtze Laboratory, which has been deeply involved in the integrated circuit industry, as the research object. The study found that:(1) In the context of key core technology breakthroughs, "architects" build mission-driven ecosystems by adopting two types of orchestration strategies:strategic architecture design and action architecture design; (2) From the perspective of innovation resources, this paper summarized the multiple mechanisms of mission-driven ecosystem orchestration strategy, namely, focus mechanism, linkage mechanism and leverage mechanism; (3) The concept of mission-driven ecosystem and three types of core characteristics are summarized, namely, national mission-driven orientation, core enterprises as "architects" and independent exploratory innovation activities. The findings will not only contribute to the literature on innovation ecosystems and ecosystem orchestration, but also provide a new path for China to accelerate the breakthrough of key core technologies to achieve the strategic goal of high-level scientific and technological self-reliance and self-improvement under the complex and severe domestic and international situations.

Technological complexity plays a crucial role in driving regional economic development. Studying the dynamics of technological complexity and its growth effects is essential for optimizing technological innovation patterns, enhancing regional competitiveness, and fostering regional economic growth. Based on the classification data of over 20 million patents in China between 2008 and 2020, this study employed a network structural diversity algorithm to measure the complexity of 690 technology categories, delineating the distribution and evolutionary patterns of technological complexity, and empirically testing its impact on economic growth. The findings of the study are as follows: (1) Chinese technological complexity ranges from 0 to 15.88, transitioning from a bimodal to a left-skewed distribution. Technological complexity has been increasing over the years, with higher complexity associated with slower growth rates. (2) The geographical distribution of technological complexity exhibits significant spatial autocorrelation, and the gap in technological complexity between regions is shrinking. (3) A 10% increase in technological complexity can boost regional economic growth by 0.25%, and this contribution is characterized by diminishing margins and negative spillovers. This study has applied network structural diversity algorithms to measure Chinese technological complexity, and it will offer new insights into regional technological structures and provide a foundation for formulating more scientifically informed high-quality development policies.

Achieving breakthroughs in critical technologies is of great significance for cultivating and developing new-quality productive forces. This paper utilized natural language processing techniques to identify invention patents related to critical technologies. Combining data from A-share listed companies from 2011 to 2024 and focusing on key industrial policy that guides resource allocation, the study conducted theoretical analysis and empirical tests to examine the impact of key industrial policy on firms' critical technological innovations. The findings revealed that key industrial policy significantly enhances both the quantity and quality of critical technological innovations in supported firms. Mechanism analysis indicated that this policy promotes such innovations by easing financing constraints, providing talent support, and enhancing competition intensity. Further analysis of the complementary relationship between government and the market in resource allocation reveals that key industrial policy, by guiding resources into prioritized sectors, exerts a stronger promoting effect in contexts where product market competition is low or where existing wage levels in the labor market are insufficient to attract high-skilled labor. Extended analysis found that the promoting effect is more pronounced for small and medium-sized enterprises (SMEs) and growth-oriented firms. While the improvement of intellectual property protection systems can incentivize firm's critical technological innovations, it exerts a negative moderating effect. This study will provide important theoretical foundations and empirical evidence for better leveraging the government's role, improving the formulation and implementation of key industrial policy, and driving breakthroughs in firms' critical technologies.

As a forward-looking and strategically significant frontier technology, artificial intelligence (AI) serves as a key engine driving the transformation and upgrading of new quality productive forces. Drawing on data from Chinese listed firms during the period 2010-2022, this paper identified firm-level AI innovation using a text-based analysis of AI-related patents. Exploiting the staggered launch of regional public data platforms as a quasi-natural experiment, we empirically examined the impact of public data openness on corporate AI innovation. The findings revealed that:(1) Public data openness significantly promotes AI innovation at the firm level, primarily by enhancing the accessibility of data elements; (2) A firm's own level of digitalization and the regional quality of digital infrastructure are critical conditions enabling the innovation-enhancing effect of data openness; (3) The broader the scope of data openness, the greater the degree of AI innovation. These results will contribute to the theoretical and empirical literature on the drivers of AI innovation and the economic value of data as a production factor, while also offer important policy implications for advancing new quality productive forces and unlocking the potential of data-driven growth.

Constructing a comprehensive innovation system and mechanism is a pivotal component of deepening reforms in the new era, serving as a crucial institutional engine for advancing the national innovation-driven strategy and Chinese-style modernization. In the digital era, the institutional dividends unleashed by comprehensive innovation system and mechanism reforms have become key to resolving “bottleneck” constraints in innovation fields, leading digital technological innovation, and cultivating new quality productive forces. Based on the panel data of prefecture-level cities from 2009 to 2022 and utilizing the establishment of the National Comprehensive Innovation Reform Experimental Zone as a quasi-natural experiment, this study employed a difference-in-differences model to investigate the impact and mechanisms of comprehensive innovation system and mechanism reforms on digital technological innovation. The results indicated that the experimental zone construction significantly promotes urban digital technological innovation, and continuously drives digital innovation. Mechanism analysis showed that the reforms facilitate digital innovation through optimizing innovation ecosystems and attracting digital talent agglomeration, while the venture capital agglomeration mechanism remains ineffective. Policy synergy analysis indicates that digital economy policies like Big Data Pilot Zones and Broadband China initiatives enhance the digital innovation effects of the comprehensive innovation system and mechanism reforms, though the policy synergy effect of government data openness remains insignificant. The coordinated implementation of these three digital economy policies with innovation system reforms generates multiplicative effects in driving digital innovation. Theoretically, this research elucidated the intrinsic mechanisms through which comprehensive innovation system and mechanism reforms drive digital technological innovation in digital ecosystems, and will provide empirical evidence for establishing long-term mechanisms that support comprehensive innovation systems in cultivating new quality productive forces.

Digital transformation is a critical strategic initiative for enterprises to enhance efficiency and foster innovation. However, many firms encounter challenges in transitioning, such as hesitancy and incapacity, making the effective allocation of limited resources to digital business portfolios a key issue for successful transformation. Drawing on the absorptive capacity perspective, this paper examined the nonlinear impact of digital business portfolio diversity on innovation performance and explored the moderating effects of artificial intelligence (AI) technology and the institutional environment. Using panel data from Chinese listed companies from 2007 to 2021 and employing a negative binomial regression model, the study found that:(1) Digital business portfolio diversity exhibits an inverted U-shaped relationship with innovation performance, where its impact first rises and then falls as diversity increases. (2) AI technology negatively moderates this relationship by enabling firms to rapidly acquire and utilize heterogeneous knowledge more efficiently. (3) Product market development positively moderates this relationship, as advanced product markets enhance knowledge acquisition from diverse portfolios but also increase the complexity of utilizing heterogeneous knowledge. These findings deepen the theoretical understanding of innovation performance during digital transformation from the absorptive capacity perspective, and will offer valuable implications for corporate strategy and policy-making in the digital era.

The error tolerance mechanism, as a distinctive institutional innovation in China, provides a robust institutional guarantee for fostering entrepreneurial spirit in state-owned enterprises (SOEs). Drawing on the process view of error management, this study conceptualizes the error tolerance mechanism into three dimensions:trial-and-error, error tolerance, and error correction. Utilizing large-scale textual data from media reports on 1, 574 SOEs, we constructed an error tolerance mechanism lexicon using word embedding techniques and calculated corresponding scores. Furthermore, the study explores the impact of the error tolerance mechanism on the entrepreneurial orientation of SOEs and its boundary conditions. The findings are as follows:(1) As an important organizational resource that provides legitimacy for innovation and entrepreneurship, the error tolerance mechanism has a significant positive impact on the entrepreneurial orientation of SOEs by creating a relaxed institutional environment and an error-tolerant atmosphere; (2) Among the three dimensions of error tolerance mechanism, compared with trial-and-error and error tolerance, error correction, as the most in-depth stage of the error tolerance mechanism, transforms the experience of mistakes into an engine that guides subsequent entrepreneurial activities, possessing greater value and scarcity. Therefore, its positive effect on the entrepreneurial orientation is more significant; (3) The management's shareholding ratio and CEO duality positively moderate the relationship between the error tolerance mechanism and the entrepreneurial orientation of SOEs, indicating that the optimization of the corporate governance structure can enhance the effect of the error tolerance mechanism and make it more effectively promote the entrepreneurial orientation. This study delves deeply into the theoretical connotation of the error tolerance mechanism and extends its application from the innovation domain to the entrepreneurial domain in SOEs, enriching both the theory and practice of China's innovation-driven institutional construction and providing practical guidance for the innovation and entrepreneurship management and policy formulation of SOEs.

How local enterprises can successfully achieve technological innovation is an important issue in the research field of technological innovation. The "shared schema" can decipher the formation process of group cognition, which has more fundamental and essential significance for studying the implementation of "technological innovation" in local enterprises. Therefore, the paper took Gree, a typical enterprise in the local manufacturing industry, as the research object. From the perspective of "schema", the paper investigated the formation mechanism of group cognition among local enterprises. The research found the following:(1) The paper proposes a shared schema that drives the formation of group cognition. In the cognitive structure of local enterprises, there is a "world first" central driving schema that supports organizational innovation. The "world first" of "shared schema" reflects the basic schema values. The "central drive" reflects the basic schema structure. (2)It is industrial capital that has adopted behaviors consistent with the national innovation strategy in the process of technological innovation, forming a specific historical stage of local enterprises' "shared base model". Different from the previous research on state-owned enterprises, the research conclusion believes that the characteristics of state-owned enterprises, such as social responsibility, hard-working, and national responsibility, are not the key to the success of technological innovation of state-owned enterprises. The key to success is for industrial capital to adopt behaviors consistent with the national innovation strategy, which is the inherent reason for the presentation of the characteristics of state-owned enterprises. (3) The formation process of "shared schema" includes four stages:perception, absorption, solidification, and diffusion. Each stage does not play an equal role, and the "perception" stage is the key stage of the whole process. The political credit and national innovation strategy provided by the country are stabilized and unified through "perception". The "long" behavior consistent with the national innovation strategy was adopted to achieve technological breakthrough through endogenous accumulation. The research conclusions will provide some theoretical basis and insights for local manufacturing enterprises to promote the success of technological innovation in complex environments.

Platform ecosystem is an important place for value co-creation in the era of digital economy, which expands the value space for innovation subjects, and the relationship between platform ecosystem and value co-creation has become a new research focus. This paper utilized meta-analysis methods to explore the comprehensive effect between platform ecosystems and value co-creation based on 47 independent empirical research samples at home and abroad, and dug deeper into the subgroup effect relationship between different dimensions. It is found that:(1) in the overall dimension, there is a significant positive correlation between platform ecosystem and value co-creation, which has a positive impact on value co-creation activities among innovation subjects. (2) In the subdimensions of platform ecosystem, multi-party interaction, individual initiative, platform governance, and platform infrastructure all have a positive effect on value co-creation, with individual initiative and platform infrastructure having a stronger positive effect on value co-creation. (3) In the dimension of value co-creation, there is a significant positive correlation between platform ecosystem and both financial and non-financial perspectives of value co-creation, and the positive correlation with non-financial perspectives of value co-creation is more significant. (4) In the moderating effect analysis, subject type and digital empowerment significantly moderated the effect of platform ecosystem on value co-creation. This study deepens and supplements the existing research results by integrating the analysis, and will provide theoretical reference for innovation subjects to realize value co-creation through platform ecosystem empowerment.

R&D investment is an important guarantee for firms to gain competitive advantage, and how to incentivize firms to increase R&D investment through the establishment of technology coopetition relationships is an important topic in the academic community. This paper deconstructed technology coopetition into two modes:cooperation with competitors, and competition with partners. By selecting data from listed pharmaceutical manufacturing firms in China from 2007 to 2022, it investigated the impact of these two types of technology coopetition on firms' R&D investment, as well as the moderating effect of regional intellectual property protection. The findings indicated that:(1) There is a U-shaped relationship between cooperation with competitors and firms' R&D investment. (2) There is an inverted U-shaped relationship between competition with partners and firms' R&D investment. (3) Opportunistic risk is the mechanism by which the two types of technology coopetition influence firms' R&D investment. (4) Regional intellectual property protection positively moderates the U-shaped relationship between cooperation with competitors and firms' R&D investment. The higher the intensity of regional intellectual property protection, the steeper the shape of the U-curve. Regional intellectual property protection negatively moderates the inverted U-shaped relationship between competition with partners and firms' R&D investment. The higher the intensity of regional intellectual property protection, the flatter the shape of the inverted U-curve. The research findings presented in this paper can assist enterprises in making informed choices regarding coopetition and developing sound R&D management strategies. Additionally, this study enriches the relevant research on the types of technology coopetition and their R&D investment effects, and will provide countermeasures and suggestions for firms to manage coopetition relationships and make R&D decisions.

Open innovation is an important approach for manufacturing enterprises to achieve high-quality development.Based on micro-level data from manufacturing firms listed on the Shanghai and Shenzhen A-share markets, this study treated the pilot program for the construction of the social credit standard system as a quasi-natural experiment and employed a multi-period difference-in-differences (DID) approach for empirical analysis.The findings revealed that the construction of the social credit standard system enhances open innovation levels in manufacturing enterprises in terms of both behavior and performance.This conclusion remains robust after a series of sensitivity tests.Mechanism analysis shows that social credit construction reduces the risks associated with innovation activities and increases firms' willingness to engage in collaborative R&D, thereby improving open innovation levels.The social credit system construction mainly promotes strategic innovation behaviors and performance, while its effect on substantive innovation performance is not significant.The promotion effect is particularly evident in state-owned enterprises, small enterprises, and firms with strong internal controls.In industries characterized by high competition and where technology is more prone to infringement, the positive impact of social credit construction on open innovation is more pronounced.This study will provide policy implications for improving the social credit standard system and promote the level of open innovation in enterprises.

The avoidance of innovation risks reduces the willingness of family firms to innovate, and the open innovation model that can effectively share risks has received the attention of family firms. Based on the theory of socioemotional wealth, this paper takes China's A-share listed family firms from 2009 to 2021 as research samples to empirically test the impact of family control on firms' open innovation and its internal mechanism, and explores the moderating effects of transgenerational succession, digitization level and equity incentives. The paper finds that: family control positively affects open innovation of firms. In terms of moderating effects, when family firms are in the stage of transgenerational succession, family control has a more significant promoting effect on firms' open innovation. However, when the digitalization level of family firms is higher or the equity incentive is stronger, the promoting effect of family control on open innovation of firms is weakened. As for the influencing mechanism, family control promotes open innovation of firms by strengthening the “compensation-performance” sensitivity of executives and reducing the risk-taking level of family firms. This paper not only provides a new way to crack the innovation dilemma of family firms but also has certain enlightening significance for the management practice of family firms in China in the digital era.

Achieving deep coordination between the agricultural industry chain and the innovation chain is a key pathway to building a strong agricultural country. Exploring the mechanism of how cross-regional investment by agricultural enterprises affects their innovation performance has important theoretical and practical significance. Based on a dual network embeddedness perspective, this study empirically analyzed the effect and underlying mechanisms of cross-regional investment intensity on the innovation performance of agricultural enterprises, using a sample of 281 agricultural enterprises nationwide from 2017 to 2021 and comprehensively employing a fixed effects model, instrumental variable methods, and mediation effect tests. The study found that:(1) Cross-regional investment intensity significantly enhances the innovation performance of agricultural enterprises, and this conclusion is verified through endogeneity treatment and various robustness tests. (2) The dual embeddedness in innovation and equity networks is the core pathway of action. Cross-regional investment promotes innovation by deepening the degree of embeddedness in these two networks, and the quality of innovation network embeddedness has a positive moderating effect on the relationship between cross-regional investment and innovation. (3) Heterogeneity analysis indicates that the stronger the knowledge absorption capacity and resource utilization capability within enterprises are, and when cross-regional investment transcends provincial boundaries alongside weaker inter-provincial boundary effects, the broader the expansion of their innovation boundaries and the more significant the innovation-enhancing effect of cross-regional investment. The study revealed the bridging role of dual network embeddedness in the relationship between cross-regional investment and innovation in agricultural enterprises. It will provide a theoretical basis for addressing the "weak innovation" dilemma in agriculture and offer practical insights into optimizing cross-regional factor allocation and improving cross-regional governance mechanisms.

Supply chain digitalization serves as a core engine driving corporate green technology innovation. Using a sample of China's A-share listed companies from 2013 to 2023, this study constructs an empirical model incorporating third-order interaction effects to systematically examine the impact mechanism of supply chain digitalization on green technology innovation. It particularly highlights the moderating roles of Environmental, Social and Governance (ESG) performance and Absorptive Capacity (AC), as well as the higher-order influence of Supply Chain Finance (SCF) on these moderating effects. The findings indicate that supply chain digitalization significantly promotes corporate green technology innovation, an effect that remains robust after a series of robustness tests. Further analysis reveals that the driving path exhibits asymmetric characteristics when confronted with external intervention. Absorptive Capacity strengthens the positive impact of digitalization on green innovation by enhancing knowledge integration and transformation efficiency. This enhancing effect is not disrupted by the short-term nature of supply chain finance. Conversely, the moderating role of ESG performance exhibits conditionality. Its long-term value orientation requires sustained strategic commitment from firms, rendering it susceptible to suppression by the short-term profit-seeking nature of supply chain finance. This highlights the inherent tension between strategic commitment and operational efficiency. Although supply chain finance can enhance short-term capital efficiency, its near-term financial orientation weakens ESG's enabling effect on green innovation. This study not only unveils the black box of how digital supply chains translate into green innovation and elucidates the synergy and conflict between long-term strategy and short-term tactics in corporate green innovation, but also provides targeted theoretical foundations and practical pathways for firms to optimize digital supply chain governance and balance sustainable transformation with short-term operational efficiency.

Strategic choice is the starting point and foundation of corporate green innovation decisions. However, the impact of strategic radicalization—an important aspect of strategic choice—on corporate green innovation remains underexplored. This study empirically examined the effect of corporate strategic radicalization on green innovation, using a fixed effects model with data from Chinese A-share listed firms from 2013 to 2022. The findings indicated that:(1) strategic radicalization has a positive impact on green innovation, and this conclusion remains robust after a series of robustness tests;(2) moderation analysis shows that the positive impact of strategic radicalization on green innovation is strengthened by environmental regulation and weakened by organizational slack; and(3) heterogeneity analysis reveals that the positive effect of strategic radicalization on corporate green innovation is significant in manufacturing and technology-intensive firms, but not in non-manufacturing, labor-intensive, or capital-intensive firms. This research extends the study of the drivers of green innovation from the perspective of strategic characteristics. It will provide empirical evidence for governments to build sustainable development policy frameworks and assist companies in formulating green innovation strategies.

As a core component of the combined tax and fee support policies, the VAT credit refund policy serves as an important tool for alleviating business operation pressures and promoting common prosperity. Based on data from A-share listed companies in China from 2013 to 2020, this paper employed a difference-in-differences (DID) model to systematically evaluate the impact of the VAT credit refund policy on firms' labor skill premium. The results showed that the refund policy significantly increases the labor skill premium and exhibits heterogeneous effects across firms with different characteristics. The policy effect mainly works through easing financing constraints and stimulating research and development innovation, which enhances the demand for high-skilled workers by enterprises and subsequently raises the skill premium level. At the same time, the supply of labor factors is also an important consideration in the influence path. Further analysis shows that the skill premium increase driven by the VAT credit refund policy improves labor productivity, although there is an optimal range in which the skill premium contributes most effectively to value-added labor output. This paper innovatively approaches the topic from the perspective of skill premium at the micro-individual level, extending the research boundaries of VAT credit refund in the context of labor factor allocation. The findings will provide valuable insights for advancing common prosperity and deepening VAT credit refund reforms.

The structural dilemma of "high yield but low harvest" in university science and technology has long troubled academia and government departments, but this common perception is misleading. The root cause lies in differing understandings of "achievements":in the broad sense of scientific and technological achievement transformation, achievements include both scientific knowledge from basic research and technological outcomes from applied research. In contrast, the narrow understanding only focuses on transforming technological achievements, ignoring the knowledge spillover value of scientific achievements, which leads to systematic biases in evaluating university technology transformation. Based on panel data from 2015 to 2022, this study used the DEA-Malmquist index model to measure the efficiency of university scientific and technological achievement transformation, especially analyzing the efficiency differences between the "knowledge production" and "technology transformation" stages. Through an econometric model, it empirically examined the mechanism and path of transformation policies on the transformation efficiency of these two types of achievements, and found that:1)Policies for the transformation of scientific and technological achievements have significantly improved the transformation efficiency of university scientific and technological achievements, and policy intervention plays a positive role in optimizing the innovation ecosystem;2)The impacts of policy tools on transformation efficiency show obvious stage differences. The efficiency improvement effect in the economic transformation stage is significantly higher than that in the knowledge production stage, presenting a policy effect characterized by "strong at the back end and weak at the front end";3)The effects of different policy tools are significantly heterogeneous across university types and characteristics. Non-science and engineering universities have more urgent demand and higher responsiveness to resource supply policies, and such policies have a more prominent effect on promoting knowledge production; 4)Collaborative innovation policies act as an "accelerator" for improving the transformation efficiency of scientific and technological achievements in science and engineering universities, which can more effectively promote technological transformation and realize industrial value. In the future, targeted policies should be implemented according to the characteristics of different university types and the two-stage differences in achievement transformation. Differentiated policy combinations at different levels and categories should be formulated to build a policy ecosystem of "targeted empowerment and precise implementation", so as to further enhance the overall performance and innovation effectiveness of university scientific and technological achievement transformation.

Small and medium-sized enterprises (SMEs) are a vital source of economic vitality and resilience. Exploring ways to promote their high-quality development is of great significance for achieving stable economic growth and Chinese-style modernization. This paper took New Third Board-listed enterprises from 2016 to 2023 as the research object, took corporate patent pledge as the entry point, and empirically examined the impact of patent pledge on the total factor productivity (TFP) of small and medium-sized enterprises (SMEs) using a fixed-effects model. The research results showed that patent pledge can significantly improve the TFP of SMEs and empower their high-quality development; the mechanism analysis indicated that financing constraints and enterprise innovation play a mediating role between patent pledge and the TFP; the heterogeneity test revealed that the promotion effect of patent pledge on TFP is more significant in non-state-owned enterprises, enterprises in eastern and central regions, enterprises with less government subsidies, and non-"little giant" enterprises (enterprises specialized in a particular field, with sophisticated technologies and innovative capabilities). The research conclusions will provide empirical evidence for advancing the implementation, improvement and promotion of patent pledge policies, as well as enhancing the TFP of SMEs.

With the increasingly fierce international competition, it is significant to explore deeply intellectual property creation to enhance the innovation resilience of China's strategic emerging industries. Taking 421 listed strategic emerging enterprises from 2018—2022 as research samples, this paper adopted a spatial econometric model to analyze the mechanism of intellectual property creation on the innovation resilience of strategic emerging industries based on the spatial mediation perspective of advanced human capital structure and technological diversification. The empirical results showed that:firstly, intellectual property creation directly contributes to the enhancement of innovation resilience in strategic emerging industries, and there is a spatial dependence effect on the enhancement of innovation resilience among strategic emerging enterprises driven by intellectual property creation. Secondly, intellectual property creation has a crowding-out effect on low-level human capital and a demand-increasing effect on high-level human capital, leading to an advanced human capital structure. Thirdly, the advanced human capital structure has a positive spatial mediation effect in the spatial relationship between intellectual property creation and innovation resilience in strategic emerging industries. Fourthly, technological diversification has a negative spatial mediation effect in the spatial relationship between intellectual property creation and innovation resilience of strategic emerging industries, because it is necessary for enterprises to reduce technological diversification and focus on core technological fields to form core competitiveness. The above findings have theoretically enriched the academic research on the factors and mechanisms influencing intellectual property creation and industrial innovation resilience and practically will provide diversified new perspectives on the path of enhancing innovation resilience of strategic emerging industries.