Improving the policy system is a necessary prerequisite for strengthening the institutional guarantee of scientific and technological ethics governance. Taking 45 policies on technology ethics governance issued by national departments in China from 1999 to 2022 as research samples, an analysis of the external attributes of policies reveals that the temporal evolution of policy intensity showed three peaks in 2001, 2007, and 2020. The institutional types of policy issuing departments cover a diverse range. The number of publications is led by the health management department, accounting for 43%. Constructing a three-dimensional policy content analysis framework for the governance process of science and technology ethics (X) - policy tools (Y) - policy objects (Z). Using the quantitative analysis method of policy texts, it was found that the number of policy texts focused on science and technology ethics supervision in the dimension of science and technology ethics governance process was 48.2%, with system change tools accounting for 35.2%, authoritative tools accounting for 34.2%, and policy object dimensions mainly focusing on science and technology institutions accounting for 52.3%; The X-Y two-dimensional analysis found that the supervision and management, feedback and improvement processes comprehensively utilized five types of policy tools, while reporting and disclosure only used two types of policy tools: incentive tools, symbolic tools, and persuasive tools; X-Z two-dimensional analysis found that the stages of education consultation, supervision and management, and investigation and processing all covered various policy objects, while the policy objects in the reporting and disclosure stage lacked precise requirements for relevant government management departments and scientific and technological institutions; The overall distribution of policy texts in three-dimensional interactive analysis is uneven. Propose suggestions such as improving the policy system of scientific and technological ethics governance to provide institutional guidance for regulating the order of scientific and technological innovation, constructing a linkage and implementation mechanism of scientific and technological ethics governance centered on the characteristics of national strategic scientific and technological forces, and establishing a full process supervision chain support policy implementation efficiency based on scientific data digitization platform for scientific and technological activities.
President Xi Jinping stressed "We should observe the small to understand the big, perceive the subtle to grasp the significant, and ly interpret the trends and risks hidden behind the signals, with a scientific approach to foreseeing the development of the situation." This places higher demands on the increasingly important tasks of achieving technological self-reliance and technological foresight. The research value of identifying weak signals in emerging technologies becomes more prominent. In the research, we have based our work on the theories of paradigm shift, knowledge hierarchy, and meaning construction. We have delineated the theoretical foundations and developed a theoretical model for the identification of identification of weak signals of emerging technologies. Subsequently, we designed six secondary indicators and their measurement methods from three dimensions: novelty, attention, and growth, and created an emerging technology weak signal recognition method based on ternary econometric features. Finally, we have taken the field of quantum information technology as the empirical object. We conducted methodological tests using data from 2011 to 2016 and performed identification and prediction using data from 2017 to 2022. Through evaluation and analysis, we identified five emerging weak signals in the current quantum domain: Quantum Repeater, Quantum Networks, Quantum Entanglement Concentration, Quantum Key Distribution, and Quantum Dot Medicine. This confirms the effectiveness of our research methodology, which can assist researchers and decision-makers in making informed judgments regarding future technology development.
As an important component of an organization, the platform affects almost all sectors of the country, market, and society. Platforms are the focus of attention in disciplines such as management, economics, public management, sociology, and information and communication. The paper explains why organizations in various fields such as economy, society, and government are moving towards a platform organization model. The rise of platform organizations is a measure taken by enterprises to solve complex production and service paradoxes driven by early knowledge and innovation needs, and has been introduced into the market and government fields to solve constantly changing complex market or social problems, and over time, there has been a transformation of knowledge and form between these departments.
In the transformation of different fields, there are three basic organizational logics for platform organizations. Firstly, platform organizations interact and create value through digital technology intermediaries; Secondly, the platform organization adapts to complex market or social needs through a flexible and coordinated division of labor structure; Finally, the platform organization has a new type of supervision and control logic. These organizational logics have brought cumulative consequences that break through the basic assumptions of classical organizational and management theory, transforming the digital age of organizational and management theory from file governance to data control, from rule control to algorithm control, and from rule-based regulation to principle-based regulation.
The rise of platform organizations breaks through the classic boundaries between the concepts of state, market, and society, bringing the "common governance" paradigm onto the national governance agenda. The development of China's Platform economy and the construction of the platform government provide a unique wealth of resources for summarizing the development rules of platform organizations from China's governance practices, refining replicable platform organization governance models, and opening up new insights for understanding the expansion and current practice of platform organizations.
National high-quality development calls for deeper integration of enterprise-led collaboration, and improve the technology transfer. However, the existing research and practice have not yet substantially broken through the traditional linear paradigm, and it is difficult to effectively solve the outstanding bottlenecks constraining the technology transfer. This study critically reviews the process of technology transfer from linear paradigm to platform paradigm and context paradigm, constructs a conceptual framework of context-driven technology transfer(CDTT) based on national innovation system and context-driven innovation theories, analyzes the typical contexts and the logic of technology transfer, and further reveals the process mechanism of context-driven technology transfer, and proposes a context-driven technology transfer flywheel model. This paper expands the theoretical research perspectives of technology transfer, and provides important theoretical and practical insights for grasping the opportunity of paradigm leap in technology transfer, breaking through the bottleneck, enhancing the effectiveness of national technology transfer system, empowering the construction of modernized industrial system, and accelerating the formation of new productive forces.
Entering the age of big science, Large-scale scientific facilities are a powerful tool to promote the human science and technology, as well as promotion of highquality industrial development. Focus on the synchrotron radiation source as the typical object, the article studies the utilization mode and evolution path of this typical large-scale scientific facility serving industrial and economic development, while the Japanese government vigorously promoted the layout and construction in international scientific competition after World War II. Japan breaks the traditional model of synchrotron radiation sources being invested and constructed by national central governments or multi-national organization, it attracts multiple entities to participate in the construction by focusing on industrial demand, which help to transform the synchrotron radiation sources from scientific research devices built by the government and long-term support to industrial development devices with self-sustaining and sustainable development. And then studies the operation mechanism of industrial services. It has important reference significance for the planning, construction, management, operation, and sustainable development of China's current and future large scale scientific facilities, and for achieving a positive interaction between scientific and technological innovation and economic development.
As the core production factor of the digital economy, how can digital asset value (DAV) promote regional economic development has become an urgent academic issue to be explored. On the basis of reviewing relevant theories, this paper constructed a statistical regression model with regional economic growth as the explained variable, DAV as the explanatory variable,digital technology level as mediating variable, and data mobility as moderator?variable.We employed panel data from 28 provinces in mainland China from 2011 to 2020, excluding Xinjiang, Tibet, and Inner Mongolia since the data availability. Our results show: (1) DAV have a significant promoting effect on regional economic growth; (2) Digital technology level plays a mediating role between DAV and economic growth; (3) Data mobility can strengthen the positive impact of DAV on economic growth. (4) Further heterogeneity analysis illustrate that DAV have no significant promoting effect on regional economic growth within the central and western regions, and the key reason is the overall low level of digital technology in these regions.
The digital economy, as a new engine for China's high-quality economic development, is micro-founded on the digital transformation of enterprises. Promoting the digital transformation of enterprises based on seizing their own unique endowment advantages and environmental conditions is a critical inherent requirement for fully unleashing the development potential of the digital economy. First of all, the paper explores several influencing factors that may have a potential to play an important role in promoting enterprises’ digital transformation in the framework of Technology - Organization - Environment (TOE) attempting to clarifying the reasons for digital reform in detail. Secondly, the paper conducts several empirical tests by making use of the data from the Chinese A-share listed companies on the Shenzhen and Shanghai stock exchanges from the year of 2010 to the year of 2020. And it tries to assess the relative importance of some main influencing factors that significantly promote the action of enterprises’ digital transformation by taking advantage of the method of variance decomposition and Shapley's value. Last but not least, some heterogeneity analyses are presented from the perspectives of enterprises, regions, etc.
After all the steps above, the paper formally gives some research conclusions that the proportion of technical employees, research and development investments, and education background of executives are the key internal factors driving the digital transformation of enterprises analyzing from the viewpoint of internal cause, and the “bandwagon effect” arising from chasing the digitalization pace of peer companies is the key external factor analyzing from the viewpoint of external cause. According to the relative importance results measured by variance decomposition and Shapley's value, the external pressure brought by the "bandwagon effect" plays the most significant role in driving the digital transformation of enterprises, while the role of internal motivation is relatively insufficient, manifested as relatively lower values of variance decomposition and Shapley than the results of "bandwagon effect". What’s more, the heterogeneity tests find that the "bandwagon effect" presented in the process of enterprises’ digital transformation is relatively weaker in the economically developed eastern regions of China and the areas with strong intellectual property protection. And the heterogeneity tests also find that growing enterprises rely more heavily on some internal factors to enable themselves to reach the suitable level of digital transormation. It is not an appropriate way for enterprises to blindly imitate other enterprises to carry out digital transformation out of the motivation of keeping up with the trend of digital transformation, but ignoring their own actual conditions and transformation needs. A company's decision on digital transformation should be based on the maturity of internal conditions, which can truly play the role of digital empowerment.
In consequence, the government should take some measures to strengthen the cultivation of digital and skilled talents, encourage enterprises’ technological innovation, improve the financial system inside the enterprises, and optimize the digital business environment outside the enterprise. It is vital and urgent for government to play a guiding and supervising role and to shift driving factors from "external pressure" to "internal motivation" as far as possible in the process of promoting Chinese enterprises' digitalization.
Abstract: China is entering a new stage of high-quality development, which relies on innovation. As the mainstay of the national innovation system, the deep integration of industry, university, and research institutions is crucial for enhancing China's innovation capability. Strengthening enterprise-led integration of industry, university, and research institutions is an important strategy implemented by the Chinese government to drive innovation-driven development. The government encourages professionals who have worked in universities or research institutions to engage in scientific research or management positions in enterprises. As a result, there has been a gradual increase in the proportion of high-level executives in Chinese companies with academic backgrounds. This undoubtedly has an impact on the innovative decision-making behaviors of these companies.
This article utilizes data from listed Chinese companies between 2008 and 2020 to explore the influence of the top management team’s academic backgrounds on the depth of industry-university-research integration led by enterprises, as well as its underlying channels of impact. The study reveals the following findings:
Firstly, the top management team’s academic backgrounds significantly strengthen the integration between enterprises and universities or research institutions, increasing the output of collaborative patents by 5.2% and raising the proportion of collaborative patents in total patents by 0.7%. This positive effect remains valid after conducting a series of robustness checks, including variable transformations, sample adjustments, staggered-DID, PSM-DID, and 2SLS regressions.
Secondly, the mechanism analysis suggests that the top management team’s academic backgrounds can enhance a company's social capital, leading to increased collaboration between the company and the academic institutions where the top managers had their academic experience. top management team’s academic backgrounds serve as a positive signal of a company's capacity for industry-university-research integration, allowing them to obtain more government subsidies in this area. Furthermore, the top management team’s academic backgrounds leave an imprinting effect, resulting in higher R&D investment and intensity in companies with academic executives.
Further analysis reveals that the positive effects of the top management team’s academic backgrounds are only present among executives with technical backgrounds. Additionally, the impact of the top management team’s academic backgrounds is more significant in state-owned enterprises compared to non-state-owned enterprises. This is because the top management team’s academic backgrounds notably promote the collaboration between SOEs and research institutions. However, there is no significant difference in collaboration with universities between state-owned and non-state-owned enterprises. Moreover, the degree of intellectual property rights protection in the region where a company is located has a greater influence on the positive effects of the top management team’s academic backgrounds on industry-university-research integration.
In conclusion, this article proposes several recommendations to strengthen enterprise-led industry-university-research integration. Firstly, it is essential to establish channels that facilitate the integration of talent and innovation chains. Encouraging companies to attract high-level professionals from academia, particularly those with technical expertise, can leverage the resource effects, signal effects, and research-oriented tendencies of academic executives. Secondly, emphasis should be placed on leveraging the advantages of state-owned enterprises in industry-university-research integration. Encouraging deep collaboration between state-owned enterprises and research institutions in core technological fields is crucial. For non-state-owned enterprises, in addition to promoting talent exchange and mobility with universities and research institutions, leveraging their market-oriented advantages and enhancing application and market-driven approaches is important. Thirdly, the national and regional governments need to further improve intellectual property protection laws and regulations, clarify ownership and disposal of intellectual property rights, reduce barriers to industry-university-research integration, and improve collaboration efficiency. Furthermore, local governments should actively improve the business environment by facilitating connections between enterprises and universities or research institutions, enhancing the precision and closeness of university-industry linkage, and promoting deep integration of technology and industry.
Structural holes theory has great contributions to the research on social networks, which shifts the focus from network configuration and connection strength to the node location. According to this theory, social capital is rooted in the potential for brokering opportunities hidden among network fragments, and appropriate use of such opportunities can bring at least two advantages: First, brokerage power. By controlling the path through network segmentations, brokers as tertius gaudens can arrange the communication of the segmentations, control the flows of resources, and obtain the opportunities of arbitrage; Second, knowledge integration. Serving as a link between heterogeneous groups, actors access to and familiarize different ways of thinking and diverse tacit knowledge, effectively collecting novel information, and thereby taking the lead in discovering innovative opportunities and promoting innovation. However, most of the previous studies confused and undistinguished these two advantages that are rooted in completely different social mechanisms. We collect the information of publication in Science from 2000 to 2018 to build the network model, test the hypotheses of structural holes theory in the scientific research field by regression analysis, and compare these two advantages of the structural holes in the scientific co-authorship network. The results show: Occupation of structural holes promotes peer recognition; The role of the knowledge integration surpass that of the brokerage power.
This study established an input-output model for institutionalized scientific and technological innovation, to characterize innovative knowledge output of world-class research disciplines. Rising above traditional evaluation indicators like papers and patents, prizes with strong recognition among global academic communities, generous financial bonus and great honor can be used to compare the innovation prowess of countries and institutes within and across disciplines. Thus, this study built an evaluation system of well-defined Prize Reputation Index, National Differential Index, Advantage Attenuation Index, and the synthesis of Index of Discipline Advantages to map out the value of such award recognition. Based on 6469 winners of 176 world famous prizes from 1981 to 2020, this study analyzed 261 research institutes and 480 universities from 71 countries. The results show that, although China as a country ranks 12th in general, and that Tongji University and China National Hybrid Rice Research and Development Center made it into the global top 10 of architecture and agricultural disciplines respectively, recognition in the form of awards and honors to Chinese recipients lags far behind the share of publications by Chinese scholars in international journals. Such a difference reveals the gap in major original innovative knowledge output between China and the developed world, which should warn us not to evaluate discipline development, draft development strategies, or allocate R&D resources solely with “good-looking” international publications and other publication-based indicators, lest it causes severe strategic misjudgment. Based on existing drawbacks in China’s current R&D organization and relevant performance evaluation model, the paper also provides the following suggestions for future policy-making: a, set up the necessary criteria to appraise the recognition of Chinese R&D efforts by renowned international awards and, in turn, include it into S&T statistics and evaluation system; b, change the evaluation approach that links the merit pay of researchers directly to their annual appraisal results; and c, China’s S&T award system should improve its identification of original innovation, broaden global vision, and set up its own international S&T awards with Chinese characteristics.
Enterprise digital transformation is a process of cognitive reshaping of managers' thinking, but there is little literature on the process of enterprise digital transformation from the perspective of management cognition. Based on the upper echelons theory, our paper constructs the analytical framework of "cognitive flexibility-digital leadership-digital transformation", and proposes that managers' cognitive flexibility is a key cognitive characteristic that affects enterprise digital transformation, and digital leadership is a key path for cognitive flexibility to affect enterprise digital transformation. Meanwhile, integrating the trait activation theory, we further proposed that the externally-focused IT capabilities of the organization is a key contextual factor to stimulate the influence of cognitive flexibility. The results of empirical analysis found that cognitive flexibility promotes the construction of digital leadership and then has a positive impact on enterprise digital transformation, and externally-focused IT capabilities play a positive moderating role in the relationship between cognitive flexibility and digital leadership. This paper enriches the research on enterprise digital transformation from the perspective of management cognition, and provides theoretical guidance and practical guidance for enterprise digital transformation.
Facing the dual dilemma of intensified external technology competition and high risk of internal innovation, more and more enterprises choose to join technological alliances to achieve efficient and sustainable development of innovation activities. This paper examines the effect of joining or forming different types of technological alliances on the performance of start-ups and its mechanism, and introduces internal and external innovation environment factors to explore its moderating effect. The results show that the technological alliances between universities and research institutions can significantly improve the innovation performance of start-ups, and the technological alliances between enterprises can significantly improve the financial performance of start-ups. After considering the endogeneity problems such as self-selection of samples, mutual causality and using substitution variables to carry out robustness test, the conclusion is still valid. The mechanism test shows that technological alliances between universities and research institutions affect innovation performance mainly through helping enterprises to utilize industry spillover research and development (R&D) resources and improving R&D input-output efficiency. Inter-enterprise technological alliances affect financial performance mainly through improving market operation efficiency and strengthening social capital. At the same time, R&D intensity and market competition intensity can play a positive moderating role on technological alliances among universities and research institutions and innovation performance, technological alliance among enterprises and financial performance and their mechanisms. From the perspective of differences among alliance members, this paper contributes to the research on the performance of start-ups, and provides important inspiration for start-ups to realize their leapfrog growth by making use of the key advantages and development opportunities brought by the technological alliance strategy.
With the rapid development of digital technology, innovation activities can break through industrial boundaries. Internet companies, represented by Baidu, Alibaba and Tencent, use digital technology to constantly cross-border into new fields, forcing traditional industry enterprises to break through the original innovation system or boundary. Cross-border innovation has become an important means for enterprises to expand markets and make technological breakthroughs. However, digital technology shows different adaptability in different enterprises, which is mainly manifested in the different utilization rates of different functions of digital technology, which embodies the characteristics of affordance. The affordance of digital technology comes from the enterprise's exploration of the potential of digital technology, which refers to the feasibility of actors using digital technology to implement specific actions, mapping out effective paths to achieve cross-border innovation at the innovation goal level and constraining the innovation decision of enterprises, and guiding enterprises to choose matching digital resource acquisition and allocation modes at the innovation realization level. Therefore, it is of great theoretical and practical significance to explore the influence mechanism of digital technology affordance on cross-border innovation of enterprises.
Previous studies on the influence of digital technology on cross-border innovation mostly focused on the perspective of organizational structure change and innovation paradigm change, but the influence of digital technology characteristics, including digital technology availability, on cross-border innovation is still unclear. Based on the affordance theory and co-opetition theory, according?to?cumulative affordance (CA)?and?variant affordance (VA) level, this paper used the data of 486 enterprises to discuss the differential impact of digital technology affordance on cross-border innovation and the moderating effect of co-opetition relationship. The results show that: The coupling of high CA–low VA has a positive effect on incremental cross-border innovation. The coupling of low CA–high VA has a positive effect on radical cross-border innovation. The coupling of high CA–high VA has a positive effect on ambidextrous cross-border innovation. Cooperation relationship positively moderates the relationship between the coupling of high CA–low VA and incremental cross-border innovation. Competition relationship positively moderates the relationship between the coupling of low CA–high VA and radical cross-border innovation. Co-opetition balance positively moderates the relationship between the coupling of high CA–high VA and ambidextrous cross-border innovation.
This study enriches the research on the relationship between digital technology affordance and cross-border innovation, provides a new way to understand why enterprises can achieve more successful cross-border innovation and a new perspective for enterprises to carry out cross-border innovation. Firstly, enterprises should comprehensively consider the cognition and application ability of digital technology, and choose the appropriate cross-border innovation model. Secondly, enterprises should exert the synergistic effect of different functions of digital technology, and maintain the mutual cooperation between different digital technology functions. Finally, enterprises should make full use of the co-opetition relationship with cross-border partners to serve different cross-border innovation models, while avoiding the adverse effects caused by excessive competition and cooperation.
In the context of building digital China, it is particularly important to enhance digital governance capabilities to promote digital synergy innovation. Based on the Chinese regional governance framework, this study takes 278 cities in China as cases to explore the linkage effect and path selection of digital governance elements on the digital synergy innovation at different time periods. The results show that: (1) Digital synergy innovation can be divided into an embryonic period and a rapid development period, with a hierarchical effect in space. The eastern region has obvious advantages, while the central and western regions are accelerating their rise. (2) There are six high digital synergy innovation paths in the embryonic stage, which can be classified as digital government-environmental type and digital government-industrial type. There are five paths in the rapid development period, which can be classified as digital government-environmental type, digital industry-social type, and multi-dimensional synergy type. (3) Considering the evolution trend, in terms of single factors, digital infrastructure and innovation environment have always played an important role, and digital industry is prominent during the rapid development period; In terms of the relationship model, the digital government-environment type is relatively stable and gradually evolving towards a multi-dimensional synergy type. (4) Cross case comparisons find that there are differences in the improvement paths of digital synergy innovation in different regions. This study helps to grasp the digital synergy innovation current development, and provides important insights for exploring development paths at different time periods, improves the digital governance system, and accelerates the digital China construction.
Disruptive technological innovation is a key measure to shape new driving forces and advantages, and it is also an important lever for incumbents to accelerate the construction of world-class enterprises. Compared with latecomers, although incumbents have advantages in related fields, their advantages can also lead to organizational inertia, hindering the realization of disruptive technological innovation by incumbents. Proactively carrying out disruptive technological innovation requires overcoming greater organizational inertia. At the same time, facing the national strategic layout of shaping new driving forces and advantages, as well as the catching up with the trend of latecomer enterprises, how to use disruptive technological innovation to achieve self transformation has become the key to accelerating the construction of world-class enterprises. Currently, scholars often view latecomers as research objects of disruptive technological innovation, focusing on their disruptive technological innovation models in differentiated contexts. However, the exploration of the laws of disruptive technological innovation in incumbents still focuses on the process analysis of innovation implementation, such as dividing disruptive technological innovation in incumbents into four stages: opportunity identification, opportunity development, solutions, and subsequent development, or exploring how incumbents can respond to external threats through disruptive technological innovation, all of which overlook the matching relationship between the internal obstacles and capabilities of disruptive technological innovation in incumbents. To this end, a multi case study was conducted on the disruptive technological innovation activities of three incumbents, Hengrui Pharmaceutical, Huawei, and Huazhong CNC (Central Navigation Computer), to explore the inherent laws of achieving disruptive technological innovation in incumbents under the matching relationship between organizational inertia and dynamic innovation capabilities. Research has found that, firstly, in the face of differences in organizational inertia situations, the dynamic innovation capabilities possessed by incumbents can support their disruptive technological innovation behavior, thereby achieving disruptive technological innovation. Therefore, following the research logic of "situation condition behavior result", a disruptive technological innovation model framework of "organizational inertia dynamic innovation capability disruptive technological innovation behavior disruptive technological innovation results" is proposed; Secondly, the disruptive technological innovation models of incumbents can be summarized into three basic models: transplanting and integrating technological changes, collaborative development and technological transformation, and independent and controllable technological leaps. Among them, the transplantation and integration technology transformation model is a model that promotes incumbents to transplant and integrate external core technologies through perceptual ability in the context of rigid organizational inertia of "strong resources weak conventions". The collaborative development technology transformation model is a model that forms an innovation platform based on perceptual and shaping abilities in the rigid organizational inertia context of "weak resources strong conventions", promoting collaborative innovation with other enterprises. The autonomous and controllable technology transition model is a model that supports technology transition by independently constructing a new technology system through perceptual and reconstruction abilities in the context of rigid organizational inertia of "weak resources weak conventions"; Thirdly, incumbents overcome different organizational inertia and rebuild the matching relationship between them through dynamic innovation capabilities with "explicit and implicit" differences, which can achieve dynamic transformation between modes. The dynamic transformation between disruptive technological innovation modes by incumbents depends on the matching relationship between organizational inertia and dynamic innovation capabilities.
Chinese agricultural enterprises face practical constraints of insufficient research and development volume and high research and development risks, and the intervention of external funds is an important guarantee for the smooth development of their innovation activities. The external funds obtained by agricultural enterprise innovation activities mainly include funds from the government (fiscal funds) and funds from financial institutions (technology finance), and fiscal funds are more used as a bridge to leverage financial funds to participate in enterprise innovation activities. Based on this, this article takes 6404 agricultural enterprises from 2014 to 2017 as a sample, uses the SSBM network DEA model to measure the innovation efficiency of agricultural enterprises, empirically tests the impact effect and mechanism of technology finance on innovation efficiency, and explores the direct impact and regulatory role of fiscal funds. Research has found that (1) technology finance can alleviate the financing constraints of agricultural enterprises and strengthen external cooperation among agricultural enterprises, but it can also generate crowding out effects and disconnection issues in the innovation chain, leading to an inverted "U" shaped impact of technology finance on the innovation efficiency of agricultural enterprises. (2) Financial funds cannot directly improve the innovation efficiency of agricultural enterprises, but have a certain supervisory and corrective effect. Therefore, financial funds can help alleviate the negative impact of technology finance exceeding the threshold on the innovation efficiency of agricultural enterprises. However, fiscal funds have not played a corresponding guiding role, that is, when technology finance does not exceed the threshold, fiscal funds have no significant moderating effect on the impact of technology finance on the innovation efficiency of agricultural enterprises. The research conclusions of this article provide theoretical support and policy recommendations for agricultural enterprises to effectively leverage the effectiveness of technology finance.
Clarifying the role of government intervention in the technological development of regional strategic emerging industries is of great significance to the high-quality development of China's economy and innovation-driven development. For the relationship between government intervention and the evolution of urban technological paths, this paper argues that regional knowledge base and innovation origin ability play an important role in it, and examines it from both theoretical and empirical aspects.Theoretically, by constructing a mediated moderation model, it demonstrates that the government intervention effect on the technological paths is affected by the moderation mechanism of the local knowledge base, and innovation origin ability plays a partly mediating role. This model expands the analytical framework for the impact of government intervention on technological paths. Empirically, based on the invention patent data of strategic emerging industries in 139 cities in China from 2010 to 2020, it tests the effect and internal mechanism of government intervention on urban technological development paths and estimates the size of the direct effect and the mediation effect. And for the first time, referring to the innovation radiation and science and technology governance connotation of the innovation origin ability, this research improves its measuring method, and uses the centrality of the patent transfer network to describe the innovation origin ability to highlight its innovation radiation effect. The study finds that government intervention promotes the development of technological paths of strategic emerging industries in cities, and the city's knowledge base plays a positive moderating role; compared with the stage of technological path-creation without comparative advantage, government intervention can have a more significant impact on the stage of path maintenance that already has a comparative advantage; innovation origin ability plays a partly mediating role between government intervention and technological paths, and the mediating effect mainly depends on the first half of the process, and part of the moderating effect of knowledge base is achieved through the innovation origin ability. In terms of policy, putting forward a new model in which government intervention needs to be closely integrated with the regional knowledge base and strengthen the construction of regional innovation origin ability, promoting the organic combination of government intervention and market mechanism in the evolution of technological paths. This paper has important reference significance for the government to use the regional knowledge base and enhance the innovation origin ability to promote the evolution of technological paths, and to promote the high-quality development of China's strategic emerging industries.
