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A study on the process of AI-driven smart manufacturing transformation in enterprises Chen Yanping, Shao Yunfei, Chen Jin 2025, 46(6): 1-9.  DOI: 10.19571/j.cnki.1000-2995.2025.06.001 Abstract ( 378 )      The rapid development of artificial intelligence (AI) has injected new vitality into China′s smart manufacturing transformation. How to integrate AI with smart manufacturing to achieve transformation is a critical challenge for Chinese manufacturing enterprises. From the perspective of "cognitive-behavior" integration, this paper explored the process of AI-driven smart manufacturing transformation in manufacturing enterprises through a longitudinal case study of BOE Technology Group. The findings indicated that: (1) The AI-driven transformation process of manufacturing enterprises experiences three stages: automation, integration and autonomy, culminating in a leap from basic intelligence to ecological intelligence; (2) Manufacturing enterprises employ three meaning construction approaches— "technology demand-driven", "strategic awakening-driven", and "cultural reshaping-driven"—which influence the three resource orchestration patterns of "utilization-oriented → exploration-oriented → dynamic-oriented", thus facilitating the integration of AI and smart manufacturing transformation; (3) The role of meaning construction in resource orchestration evolves dynamically in multiple stages, and presents a process of "guidance → reshaping → reinforcement". The results have not only provided a theoretical framework for manufacturing enterprises to achieve smart manufacturing transformation but also enriched the application of resource orchestration theory and managerial cognition theory. The study will offer valuable insights for strategic decision-making in smart manufacturing transformation within manufacturing enterprises. Related Articles | Metrics

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Research on the evolution mechanism of data element flow network driven by innovation Lyu Chengchao, Jiang Yanjie, He Jiahao, Guo Mengyao 2025, 46(6): 10-20.  DOI: 10.19571/j.cnki.1000-2995.2025.06.002 Abstract ( 180 )      The orderly flow of data elements, as a new type of innovation factor to cultivate new dynamics of economic growth, is the key to stimulating the potential of data elements. From the perspective of data element flow environment, this paper adopted the Laurie gravity model to construct the spatial correlation network of data element flow, examined the circulation of data element flow with the help of social network analysis method, and adopted the stochastic actor model to explore the role mechanism of the driving factors of the evolution of spatial network structure, and measured the relative importance of each driving factor. The results showed that: (1) the flow of data elements is characterized by a network structure, with frequent flow of data elements between provincial-level regions and obvious spatial linkage effects; (2) Under the impetus of policies such as "data in the east and handling capacity in the west"; the sources of plate members are diversified; the roles assumed by regions are dynamic; the flow of data elements is gradually showing polycentric characteristics; and the topology of the spatial correlation network of the flow of data elements is more complex; (3) Endogenous structural factors play a dominant role in the evolution of the network structure, and each provincial-level region promotes the flow of data elements by strengthening the division of labor and cooperation through the industrial chain. Among the exogenous attribute factors, reducing the government′s non-market intervention and enhancing regional innovation capability are conducive to accelerating the flow of data elements. This study will provide a new perspective on the construction of a unified national market. Related Articles | Metrics

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A qualitative meta-analysis study on the digital transformation modes of Chinese manufacturing enterprises Cheng Xuanmei, Ge Fangting, Chen Kanxiang 2025, 46(6): 21-33.  DOI: 10.19571/j.cnki.1000-2995.2025.06.003 Abstract ( 107 )   The digital transformation of manufacturing enterprises has increasingly become a hot spot for both academics and practitioners. Due to the complexity of transformation, the related mode and realization mechanism are still in the exploration stage. Using the method of qualitative meta-analysis and 53 research cases as objects, this paper expanded and deepened the dual perspectives of "process value-added-customer value-added" and explored the internal mechanisms of different digital transformation modes of Chinese manufacturing enterprises. The results showed that: First, the digital transformation consists of two paths, namely process value-added and customer value-added, which are manifested in the positioning of local digitization, global digitization and ecological digitization as well as the choice between goods-dominant logic and service-dominant logic. Second, according to the combination of differentiated paths, the transformation modes can be divided into such five types as leap-over type, reconfiguration type, incremental type, mixed type and disruptive type. Third, the internal mechanism of digital transformation mode can be analyzed by using the logical chain of "transformation context - behavioral mechanism-transformation result". Different digital transformation modes stem from the differentiated resource reorganization mechanism, institutional action mechanism, digital innovation mechanism and transformation results which result from transformation contexts. This study has innovatively extended the micro-combination mechanism of resource orchestration, institutional, and digital innovation theories within diverse digital transformation modes, with its conclusions being instructive and inspiring for both relevant theories and practical endeavors in the digital transformation of manufacturing enterprises. References | Related Articles | Metrics

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Research on the impact of digital empowerment on the low-carbon production of the manufacturing industry Liu Qilei, Han Qingye 2025, 46(6): 34-43.  DOI: 10.19571/j.cnki.1000-2995.2025.06.004 Abstract ( 127 )      Empowering low-carbon production by digital technology is a key to promote new-quality productive forces of the manufacturing industry. Therefore, in this paper, low-carbon production efficiency was measured by using the super efficiency SBM method, based on the panel data of the manufacturing industry from 2013 to 2022. Green technology innovation and enterprise resilience were also introduced to construct a chain mediation effect model to test the mechanism of how digital empowerment affects low-carbon production efficiency in the manufacturing industry. The results obtained are as follows: (1) Low-carbon production efficiency of China's manufacturing industry exhibits significant spatial and industry heterogeneity, with a decreasing and hierarchical distribution of low-carbon production efficiency values from east to west in space. The efficiency growth rate in the western region is significantly higher than that in the central and eastern regions. The efficiency values of resource processing, automobile manufacturing, and electrical machinery and equipment manufacturing are significantly higher than those of other industries. (2) Digital empowerment improves the low-carbon production efficiency of the manufacturing industry significantly, and the intensity of its impact is increasing year by year. Green technology innovation and enterprise resilience have independent mediating effects in the impact of digital empowerment on low-carbon production efficiency in the manufacturing industry, with the former having a stronger mediating effect than the latter. Digital empowerment also enhances low-carbon production efficiency through a chain intermediary of green technology innovation and enterprise resilience. This paper will provide a theoretical path for the manufacturing industry to unleash the digital empowerment effect fully and to promote low-carbon production, and it will also provide a basis for government departments to optimize and improve industrial policies. References | Related Articles | Metrics

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The innovation-driven upgrading of China′s manufacturing global value chain under the new development paradigm Zhao Chi, Tao Jiayi, Yang Jianqiang, Ji Nannan 2025, 46(6): 44-53.  DOI: 10.19571/j.cnki.1000-2995.2025.06.005 Abstract ( 68 )      Changes in technological conditions and policy environments worldwide have significantly impacted the international division of labor, leading to a phased contraction of global value chains scales. Utilizing the concept of vertical specialization within the global value chain, this paper studied the mechanisms through which product innovation influences the reconfiguration of manufacturing′s global value chain and attempted to use China′s experience to seek breakthroughs in the "low-end lock-in" dilemma of the global value chain. The results showed that it has participated deeply in the global value chain but remains at the low stage. Product innovation promotes the upgrading of the global value chain; however, the impact of innovation output and input varies and exhibits significant industry heterogeneity. After incorporating the new development pattern into consideration, the innovation output and input within the domestic circulation have a significant positive impact on the upgrading of the global value chain in manufacturing. In the realm of global trade, the impact of international circulation, along with the innovation outputs and its spillover effects, enhances the global value chain position, while the influence of innovation inputs remains insignificant. The conclusions of this study will provide empirical support for implementing the new development concept, committing to the new development pattern, and constructing a global specialized vertical division of labor system driven by domestic industries and product innovation. References | Related Articles | Metrics

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Founding team resilience: A literature review and prospects Ye Zhuxin, Chen Xuan, Mai Yiyuan 2025, 46(6): 54-62.  DOI: 10.19571/j.cnki.1000-2995.2025.06.006 Abstract ( 149 )      Founding team resilience is critical for effectively addressing challenges posed by high uncertainty during the entrepreneurial process, enabling teams to recover, adapt, and grow rapidly while ensuring the survival and development of entrepreneurial ventures. However, existing research on founding team resilience remains in its initial stage. To address this, we clarified the research topic and status of founding team resilience by using a systematic literature review method, finding that existing studies lack consensus on the conceptual definition of founding team resilience, with research themes remaining fragmented, and there is a lack of attention to the unique characteristics and formation processes of founding team resilience in the Chinese context. In view of this, based on the perspective of dynamic process, we identified the concept of founding team resilience, divided it into three dimensions of recovery, stability, and growth, and indicated its connotation characteristics of highly contextualized and dynamically developing. Further, based on the "ternary interaction" model of the Social Cognitive Theory, a theoretical analysis framework was constructed by combining the characteristic basis, action process and contextual factors. The results showed that, founding team resilience is influenced by team structural, team cognitive, and team capabilities characteristics, and its formation is the result of the founding team effectively matching the internal and external context of enterprise to carry out strategic actions and continuous interactive iteration. Finally, we indicated that future research should consider measurement scales, influencing factors and mechanisms, impacts, and research in the Chinese context of founding team resilience. By enriching the perspective of founding team research under uncertain context, and broadening the scope of founding resilience research, we aim to offer some theoretical guidance to help founding teams overcome challenges and promote high-quality development. References | Related Articles | Metrics

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Research on the impact of niche winner strategy on corporate co-innovation Du Yaguang, He Ying 2025, 46(6): 63-72.  DOI: 10.19571/j.cnki.1000-2995.2025.06.007 Abstract ( 49 )      Small and medium-sized enterprises (SMEs) are the key forces that promote the high-quality development of China′s economy and society. However, due to constraints such as funding, talent and technology, their enthusiasm for participating in the co-innovation of large enterprises is not high. Under the background of developing new quality productive forces according to local conditions in the whole society, whether the "niche winner" strategy of SMEs can enhance their co-innovation capabilities has become an essential concern in the current practices and academics. Based on the data of A-share listed companies from 2011 to 2022, this paper adopted China′s batch-implemented policy of cultivating specialized, refined, differential and innovative (SRDI) "Small Giants" SMEs as a quasi-natural experiment. We used the PSM-DID method to examine the impact of the "niche winners" strategy on the co-innovation of SMEs. The results showed that the "niche winner" strategy significantly promotes SMEs′ co-innovation, mainly through mechanisms that alleviate financing constraints, enhance information transparency, and reduce operational risks. Moreover, based on the heterogeneity analysis of the TOE framework, it was found that the higher the degree of firm digital transformation, the more emphasis on the cooperation culture, and the higher the level of regional social trust, the more pronounced the promotion effect of the "niche winner" strategy on the corporate co-innovation. In addition, implementing the "niche winner" strategy has a more substantial incentive effect on the co-innovation for SMEs in the early and growth stages of innovation. The analysis of economic consequences showed that the increase of corporate co-innovation under the "niche winner" strategic orientation can help to enhance the firm′s market performance. Our study will not only expand the relevant research on the influencing factors of corporate co-innovation and the economic consequences of the "niche winner" strategy but also provide new empirical evidence for optimizing institutional supply to promote high-quality development of SMEs in China. References | Related Articles | Metrics

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Research on the paths through which digital technology cures the cost disease of the service industry: A study from the perspective of efficiency improvement and structural optimization Dong Feng, Zhao Xu, Li Chunling, Wang Lun 2025, 46(6): 73-83.  DOI: 10.19571/j.cnki.1000-2995.2025.06.008 Abstract ( 49 )      The existence of cost disease in the service industry will affect the productivity of the overall economy and further restrict the momentum of China′s high-quality economic development. Based on this, this paper first sorted out the formation mechanism of cost disease, and then constructed a partial equilibrium model and a multi-sector endogenous growth model from the perspectives of "efficiency improvement" and "structural optimization" to analyze the path of digital technology to cure cost disease. The empirical results obtained from this study based on the panel data of 30 provincial-level regions in China from 2010 to 2022 are as follows: (1) From the perspective of "efficiency improvement", digital technology can significantly promote service innovation, thus facilitating the improvement of production efficiency in the service industry. Digital technology can empower service innovation and cure cost disease. (2) High-skilled labor and per-capita capital can form with digital technology a synergistic effect of "digitalization -high-skills" and "digitalization-capital deepening", and strengthen the efficiency empowerment of digital technology. (3) From the perspective of "structural optimization", digital technology can, on the one hand, moderate the causal chain of "efficiency-price-output" of cost disease, and on the other hand, shorten the gap of technological progress rate between industries, optimize the flow of innovation, and cure cost disease from the structure. This study will provide a theoretical basis and empirical evidence for overcoming the problem of cost disease in the process of "intelligent" digital transformation of the service industry.  References | Related Articles | Metrics

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A study of the impact of digital transformation on the geographic layout of overseas subsidiaries Zhao Xiaoyang, Yi Changjun, Zhang Jipeng 2025, 46(6): 84-92.  DOI: 10.19571/j.cnki.1000-2995.2025.06.009 Abstract ( 55 )      Multinational enterprises (MNEs) are an important link in the development of dual circulation economy. How to optimally configure the geographic layout of MNEs′ overseas subsidiaries is currently an important topic of academic interest. Using the data on Chinese MNEs from 2008-2021 as a sample, this study empirically examined the mechanism of corporate digital transformation on the diversification of overseas subsidiaries′ geographic layouts. It further examined the moderating effects of executives′ overseas work experience. The study found that digital transformation significantly contributes to the geographic diversification of overseas subsidiaries. The executives′ overseas work experience enhances the effect of digital transformation on the geographic diversification of overseas subsidiaries. The mechanistic analysis showed that digital transformation facilitates geographic diversification of foreign subsidiaries mainly by increasing firm productivity and enhancing dynamic capabilities. The findings will provide a new theoretical framework and empirical evidence to test the facilitating effect of digital technology in MNEs′ overseas investments. References | Related Articles | Metrics

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The action mechanism of the high-quality development of metaverse firms empowered by city-level business environment Chen Xiaohong, Liu Liu, Yuan Yige, Liu Xiaoliang, Li Dayuan 2025, 46(6): 93-103.  DOI: 10.19571/j.cnki.1000-2995.2025.06.010 Abstract ( 105 )      The metaverse is an important symbol of strategic competitiveness within the national digital economy. How to optimize the city-level ecosystem of doing business to promote the high-quality development of metaverse firms is an important management problem to be explored. Taking 193 metaverse firms and their 49 cities as samples, and combined with the methods of NCA and QCA, this paper analyzed the configuration effects of doing business, and revealed the complex mechanism between the city-level ecosystem of doing business and the quantity and quality of metaverse firms. The conclusions are as follows: (1) Any single condition of ecosystem of doing business is not necessary for the quantity or quality of city-level metaverse firms. Instead, an effective "combination" strategy is essential to unleash the systematic synergy of ecosystem of doing business. (2) There are three paths to promote the high quantity of city-level metaverse firms, namely, "advantageous and balanced type under the market logic", "innovation-driven type" and "public-service-driven type under the market environment". Likewise, there are three paths to promote the high quality of city-level metaverse firms, namely, "public-service-driven type under the government environment", "innovation-driven type under the government environment and the market environment" and "advantageous and balanced type under the government and market dual logic". The difference in paths lies in the variation of ecosystem of doing business required by "reasonable growth in quantity" and "effective improvement in quality". (3) There is no single configuration that can simultaneously promote both high quantity and high quality of city-level metaverse firms, but it is possible to achieve path transformation through learning from excellence. The findings of the paper will help to provide some theoretical guidance for different cities to accelerate high-quality development of metaverse firms.  References | Related Articles | Metrics

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Research on the paths of urban science and technology innovation empowered by the digital business environment ecosystem Li Xiaodi, Ma Yuxuan 2025, 46(6): 104-112.  DOI: 10.19571/j.cnki.1000-2995.2025.06.011 Abstract ( 39 )       Under the evolution trend of the digitalization of doing business, the digital business environment ecosystem is of great significance for urban science and technology (S&T) innovation. Based on the new structural economics, resource dependence theory and the transaction cost theory, this paper employed the qualitative comparative analysis (QCA) method to explore the complex mechanisms and multivariate configuration paths of urban S&T innovation empowered by digital business environment ecosystem, by taking the data of 61 pilot cities of the national big data comprehensive pilot zone from 2019 to 2021. The findings showed that: (1) There is no single condition within the digital business environment ecosystem  can be regarded as the necessary condition for high urban S&T innovation, the importance of the same condition shows differentiation characteristics in different configurations; however, improving digital infrastructure plays a more general role in producing high urban S&T innovation; (2) Four types of digital business environment ecosystems produce high urban S&T innovation, including digital government-market collaboration with financial assistance under digital infrastructure, digital government-led with resource aggregation under digital infrastructure, talent-driven and digital market-oriented under digital infrastructure which lack of government affairs, digital market-oriented with resource aggregation under digital infrastructure; (3) There are four types of ecosystems of digital business environment leading non-high urban S&T innovation, which can be divided into ecosystem to-be-built with the absence of digital infrastructure and lack of digital government-market collaboration with the absence of resources. The findings will enrich the understanding of complex mechanisms and multivariate configuration paths for urban S&T innovation empowered by the digital business environment ecosystem and provide beneficial ideas for promoting the construction of digital business environment and improving the S&T innovation system and mechanism. References | Related Articles | Metrics

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Research on the paths for enhancement of SRDI enterprises′ innovation resilience synergistically driven by the digital business environment and dynamic capabilities Duan Yunlong, Li Yixin, Liu Yameng 2025, 46(6): 113-124.  DOI: 10.19571/j.cnki.1000-2995.2025.06.012 Abstract ( 57 )      "Specialized, refined, differential and innovative (SRDI)" enterprises are vital for upgrading China′s manufacturing sector and securing the industrial and supply chains. In the digital context, effectively coordinating the "invisible hand" of the market, the "visible hand" of the government, and enterprises′ dynamic capabilities within the institutional environment is key to enhancing the innovation resilience and core competitiveness of SRDI enterprises. This study, based on the institutional and dynamic capabilities theories, analyzed the data from 360 SRDI enterprises using the fsQCA method, revealing that: (1) while no single factor is necessary for high innovation resilience, digital economy market regulation and sensing capability are core conditions; (2) key paths include "government empowerment-capability synergy," "government coordination-sensing capability," and "government regulation-market adjustment-comprehensive synergy"; and (3) SRDI enterprises must strengthen dynamic capabilities to leverage the digital business environment. These findings will offer theoretical and practical guidance for integrating effective markets, proactive governments, and dynamic capabilities to bolster SRDI enterprises′ innovation resilience. References | Related Articles | Metrics

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Research on the mechanism of semiconductor enterprises′ innovation quality promoted by the legalized business environment Yang Daozhou, Wang Yingdong, Wang Shiyu 2025, 46(6): 125-135.  DOI: 10.19571/j.cnki.1000-2995.2025.06.013 Abstract ( 24 )      A well-legalized business environment provides a strong guarantee for semiconductor enterprises in terms of patent protection, cooperation promotion, and construction of innovation ecology around the supply chain, which is of great significance for promoting their innovation quality. This paper focused on the major practical issue of how the legalized business environment affects the innovation quality of semiconductor enterprises. Using the data of cities and listed semiconductor enterprises from 2017 to 2021, this paper examined the direct mechanisms and the indirect mechanisms related to supply chain. The findings are as follows: First, the legalized business environment can improve the quality of enterprise innovation from the aspects of enterprise patent quality and transformation of scientific and technological achievements. Second, it mainly promotes the innovation quality of semiconductor enterprises by promoting the diversification of supply chain network, the efficient operation of supply chain and the information transparency of supply chain. Third, the positive impact of the legalized business environment on innovation quality is more obvious in non-state-owned enterprises and enterprises with low innovation levels. Additionally, local government support and digitization are important external conditions for the legalized business environment to play an active role. Based on the above research conclusions, this paper has put forward relevant policy recommendations to comprehensively improve the innovation quality of semiconductor enterprises by taking the construction of a legalized business environment as the main line, giving full play to the key role of supply chain in enterprise innovation. References | Related Articles | Metrics

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Research on the impact mechanism on innovation performance in the open-source communities in the era of digital intelligence Chen Xiaohong, Zhou Yuan 2025, 46(6): 136-145.  DOI: 10.19571/j.cnki.1000-2995.2025.06.014 Abstract ( 58 )     How open-source collaboration empowers the high-quality development of international innovation networks is a critical issue for R&D innovation in virtual communities in the era of digital intelligence. Taking the GitHub open-source community as an example, this study analyzed the project data from January 1, 2019 to June 30, 2023. Through machine mining and data crawling, a total of 9,090 data entries from 606 projects were extracted and processed from 59,120 raw data points. Based on the quantitative empirical analysis, the study explored the influencing factors and mechanisms of innovation performance in virtual communities. The results showed that from a social network perspective, network cluster density positively contributes to software innovation performance. From a perspective of complementary collaboration, geographic diversity, structural diversity and openness diversity positively moderate the relationship between cluster density and innovation performance. In contrast to the emphasis on geographical proximity in offline physical communities, geographic diversity plays the most significant moderating role in open-source communities. Structural diversity highlights multi-core project governance structures, while openness diversity advocates highly open software licenses as part of institutional design. This study will enrich the theoretical understanding of social networks and complementary collaboration, and offer new insights for improving digital governance of open-source community. References | Related Articles | Metrics

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Research on the evolution and stage characteristics of China′s new energy vehicle industry policies Liu Zekun, Jiang Caixin 2025, 46(6): 146-156.  DOI: 10.19571/j.cnki.1000-2995.2025.06.015 Abstract ( 77 )      Industrial policy plays a crucial role in leading the development direction and allocating resource elements of China′s NEV industry. However, the dimensions of existing studies on industrial policy change and characterization are relatively single. Therefore, this paper proposed a three-dimensional analytical framework based on the purposefulness, direction and orientation of industrial policies from the perspective of policy evolution. The 1783 NEV industrial policies enacted from 2007 to 2023 are analyzed based on the computational text quantitative analysis method. Unsupervised machine learning LDA topic modeling was used to portray the evolution process of China′s NEV industrial policies, and the supervised learning random forest algorithm was used to predict and classify the policy types and summarize the stage characteristics of policy distribution. The study found that: (1) China′s NEV industrial policy has gone through a process of change from the initial stage to the rapid promotion stage to the high-quality development stage, and the distribution of policies has transitioned from the initial fragmentation and imbalance to a more centralized and balanced state. (2) The policies are mainly selective, regional and market-oriented, but the policy changes show a trend of gradual transfer to functional, industrial and technology-oriented. (3) The process of policy change shows the characteristics of market access system tends to be mature, financial subsidies oriented to be precise, infrastructure construction is increasingly important, and the trend of informationization and intelligence is strengthened. This paper has expanded the theoretical perspective of policy change research, improved the analytical framework of policy tools, enriched the analytical methods of industrial policy change characteristics and laws, and it will provide some practical insights for industrial policy optimization. References | Related Articles | Metrics

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The influence of judicial protection of intellectual property on the quality of regional technological innovation Zhang Lingang, Wang Zhen, Yang Jiahui, Xiong Yan 2025, 46(6): 157-165.  DOI: 10.19571/j.cnki.1000-2995.2025.06.016 Abstract ( 38 )      Intellectual property protection is an important institutional arrangement to drive innovative development. It is an important issue about how to promote regional technological innovation from incremental to quality improvement by strengthening judicial protection of intellectual property rights in the context of China′s high-quality development. Based on the panel data of 260 prefecture-level cities in China from 2011 to 2021, this paper evaluated the impact of judicial protection of intellectual property on the quality of regional technological innovation by employing the DID model and taking the establishment of local intellectual property courts as a quasi-natural experiment. The results showed that the establishment of local intellectual property courts can significantly promote regional high-quality technological innovation and effectively inhibit regional low-quality technological innovation, thus showing a positive effect on the quality of regional technological innovation. The mechanism test showed that the judicial protection of intellectual property enhances the quality of regional technological innovation by enhancing the demonstration effect of technology market and improving the regulation effect of innovation environment. Further analysis showed that the role of local intellectual property courts in improving the quality of regional technological innovation is heterogeneous in terms of urban administrative rank, geographical location and initial level of intellectual property protection, and the role of the city where the courts are established in improving the quality of technological innovation is stronger than that of the jurisdiction city. The research conclusions will provide policy guidance for deepening the reform of intellectual property judicial system, optimizing the market innovation environment and smoothing the way of knowledge spillover, and they will provide reference for implementing the innovation-driven development strategy and achieving the goal of high-quality development. References | Related Articles | Metrics

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Research on the impact of environmental tax on collaborative governance of carbon reduction and pollution abatement: A study from the perspective of whole-process technological innovation Xia Xuechao, Sun Hui, Yang Zedong, Zhu Shusen 2025, 46(6): 166-176.  DOI: 10.19571/j.cnki.1000-2995.2025.06.017 Abstract ( 24 )      The synergistic promotion of carbon reduction and pollution abatement has become an inevitable choice and an essential step for the comprehensive green transformation of economic and social development in China′s new stage of development. This paper constructed the carbon reduction and pollution abatement synergy index based on the data of 30 provincial-level regions in China from 2012 to 2021, and identified the impact effect and driving mechanism of environmental tax on carbon reduction and pollution abatement synergistic promotion from the perspective of whole-process technological innovation by using the multidimensional panel fixed-effects model and the mediated-effects model. The study found that environmental taxes can effectively drive the synergistic promotion of carbon reduction and pollution abatement. Process technological innovation and end technological innovation are the main path mechanisms for environmental taxes to drive the synergistic promotion of carbon reduction and pollution abatement, but source technological innovation does not have an effective intermediary role. The "shift-type" and "ladder-type" environmental tax rate structure can significantly promote the synergistic promotion of carbon reduction and pollution abatement, but the "ceiling-type" environmental tax does not have a significant driving effect. Environmental taxes can significantly promote the synergistic promotion of carbon reduction and pollution abatement in the eastern and central regions, but the driving effect is not significant in the western region. The findings of the study will enrich the research on technological innovation mechanisms to achieve emission reduction targets, provide important insights for further improving the environmental governance system and optimizing the synergistic promotion measures for carbon reduction and pollution abatement.  Related Articles | Metrics

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Research on the green innovation effect of government environmental target constraints Sun Yangyang, Ding Yulian, Guo Mengmeng 2025, 46(6): 177-186.  DOI: 10.19571/j.cnki.1000-2995.2025.06.018 Abstract ( 33 )      Improving green innovation of enterprises and building a green technology innovation system are crucial to achieving high-quality economic development. This paper manually organized China′s urban government work report and listed company green patent data from 2003 to 2015, and used the staggered DID method to examine the impact of government environmental target constraints on the quantity and quality of corporate green innovation. We found that government environmental target constraints increased the quantity of corporate green innovation, but inhibited the quality of green innovation. The mechanism analysis showed that government environmental target constraints increase the intensity of environmental regulation; R&D subsidies prompt companies to increase the number of green innovations; environmental regulations prompt companies to reduce production and emissions, increase environmental investment to lower the "compliance cost" of environmental regulations, which reduces the R&D investment of in high-quality green innovation and lowers the quality of green innovation. Further analysis found that the impact of government environmental target constraints on corporate green innovation has rich heterogeneity in terms of the intensity and type of environmental target constraints, the ownership of enterprise, social attention, and whether it belongs to the polluting industry. We have put forward some policy implications for accelerating the construction of a green innovation system. Not only must we improve the assessment system for government officials and stimulate the enthusiasm of enterprises for green innovation, but the government must also focus on supporting high-quality green innovation activities of enterprises, and promote enterprises to achieve the "quantity and quality improvement" of green innovation. References | Related Articles | Metrics

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Research on the influence mechanism of Environmental Protection Tax Law on the green innovation of enterprises Liu Zhen, Liu Bo, Shang Zhipei 2025, 46(6): 187-197.  DOI: 10.19571/j.cnki.1000-2995.2025.06.019 Abstract ( 54 )   Under the institutional background of economic transition, how to improve the implementation effect of the Environmental Protection Tax Law is a pressing issue. Based on the panel data of China′s A-share listed companies, this paper used the implementation of the Environmental Protection Tax Law as a quasi-natural experiment and employed the difference-in-differences (DID) method to examine the mechanism of the Environmental Protection Tax Law in promoting enterprise green innovation. The study found that: (1) The Environmental Protection Tax Law promotes corporate green innovation through the pressure mechanism of environmental tax burdens and the incentive mechanism of tax benefits. (2) The pressure and incentive mechanisms of the Environmental Protection Tax Law, as well as the information disclosure and signal transmission mechanisms can effectively help enterprises alleviate financing constraints, indirectly promoting corporate green innovation. (3) Corporate rent-seeking behavior weakens the pressure and incentive effects of the Environmental Protection Tax Law, leading to insufficient innovation motivation and resource misallocation, thereby inhibiting the promotion effect of the Environmental Protection Tax Law on corporate green innovation. (4) Compared with enterprises in the decline stage with resource-constrained and weak innovation ability, the promotion effect of the Environmental Protection Tax Law on green innovation is more significant in the initial stage, growth stage, maturity stage and turbulent stage. These results have not only deepened the understanding of the mechanisms through which the Environmental Protection Tax Law affects corporate green innovation and enrich the empirical evidence of rent-seeking theory in the context of China′s economic transition, but also offered important insights for enhancing the implementation effect of the Environmental Protection Tax Law, curbing corporate rentseeking behavior, and promoting corporate green innovation. Related Articles | Metrics

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Employee training incentives, internal talent dividend and technological progress Li Huizhu, Wang Zhenshan, Liu Jingjian 2025, 46(6): 198-208.  DOI: 10.19571/j.cnki.1000-2995.2025.06.020 Abstract ( 67 )      Driving technological progress by motivating companies to carry out employee training is the key to realizing the internal talent dividend. Utilizing the external shock of Fiscal Taxation Policy No. 63 (2015), which increases the pre-tax deduction ratio of employee education expenses in high-tech companies to 8%, we analyzed the effect and mechanism of employee training incentive on technological progress from the perspective of internal talent dividend based on the theory of human capital and efficiency wage. We employed the difference-in-differences method and found that employee training incentive significantly promotes technological progress, and the greater the cumulative investment in employee training, the greater the technological progress. The mechanism test showed that employee training incentive increases human capital investment and efficiency wage, thereby facilitating technological progress. Furthermore, employee training incentive exhibits an internal talent dividend effect, which is reflected in replacing external talent hiring, promoting internal human capital upgrading and encouraging companies to expand diversified business. The heterogeneity test indicated that when asset specificity is high and product market competition is intense, the promotion effect of employee training incentive on technological progress becomes more obvious. The research conclusions will offer policy insights for the cultivation and maintenance of human capital in enterprises, as well as for fostering an innovative environment. References | Related Articles | Metrics