Open-source projects，particularly those in the domain of artificial intelligence，have become vital carriers for firms to achieve digital technological breakthroughs. Yet，how to choose an appropriate license that can ensure the sustainable development of open-source projects remains an unsettled question. Based on a sample of 2，536，526 open-source projects from GitHub，this study constructed a theoretical model of the differential impacts of open-source license on the sustainability of open-source projects in the context of technological complexity and empirically tested it by using the negative binomial regression method. The results showed that： （1） the adoption of open-source license has a significant positive effect on the sustainable development of open-source projects，manifested as increases in user interest and development activeness；（2） compared to restrictive license，permissive license can promote the sustainable development of open-source projects to a larger extent；（3） the license with patent grant clause has a stronger promoting effect on the sustainable development of projects than that without such a clause；and （4） technological complexity positively moderates the relationship between open-source license and the sustainability of open-source projects. This study has revealed the boundary conditions under which open-source license affects the sustainable development of open-source projects，thus helping firms improve governance mechanisms of open-source projects oriented towards complex digital technologies and offering insights for building a sustainable and prosperous open-source ecosystem.

Environmental supervision is an important part of government environmental governance and a key driving factor of green innovation. Based on the panel data of A-share listed companies in 120 major cities in China from 2008 to 2018，this paper examined the relationship between environmental supervision and corporate green innovation from the perspective of promotion pressure by using the fixed effect and moderating effect models. The study found that： （1） Environmental supervision only significantly promotes the quantity of corporate green innovation，rather than the quality，which induces the "bubble" phenomenon of green innovation；（2） The promotion pressure positively regulates the relationship between environmental supervision and the quantity of green innovation and enhances the "bubble" effect of environmental supervision；（3） The "bubble" phenomenon of green innovation caused by environmental supervision is concentrated in heavily polluting industries and eastern regions. It has a significant role in promoting the quality and quantity of green innovation in highly urbanized regions. However，the regulatory effect of promotion pressure is not effective；（4） Environmental supervision affects green innovation through industrial transfer，and causes neighboring areas to become "pollution havens". The central vertical supervision weakens the "bubble" phenomenon of green innovation. This paper has deepened the research scope and boundary conditions of macro-policy and micro-corporate innovation，which brings a new perspective and theoretical framework for existing research. It will also provide beneficial enlightenment and empirical evidence for optimizing environmental supervision policies and promoting corporate green transformation.

With the intensification of global competition in S&T，there are a lot of breakpoints，blocking points and pain points in China's industrial chain，and the problem of low domestic substitution rate of key links is becoming increasingly prominent. It has become a topic of common concern in both academia and practice how to promote the SRDI enterprises with "unique skills" in the segmentation field to embed quickly into the industrial chain and realize their high-quality growth while empowering the industrial chain. Based on the theories of resource orchestration and enterprise growth，and from the perspective of two-way empowerment of the industry chain，this paper made a dual case study of two SRDI enterprises，and used the grounded theory and Nvivo software to encode the case data，aiming at exploring the internal mechanism of spiral high-quality growth of the SRDI enterprises. The research showed that the process of high-quality growth of SRDI enterprises includes three stages： precise positioning，high coupling and related expansion. In each stage，the complementing chain mechanism and strengthening chain mechanism co-evolve from the perspective of industrial chain empowerment，forming a spiral high-quality growth path that rises both horizontally and vertically，and they are interlocking link by link and progressing step by step. In order to achieve high-quality growth in terms of both "quality" and "quantity"，enterprises need to deploy all dimensions of resource orchestration at each stage. Generally speaking，the importance of resource structuring is very high at all stages，and the importance of turning resources into capability and resource leveraging is gradually improved with the evolution of stages. This paper has not only deepened theoretically the research on the high-quality growth of enterprises in the context of China，but also considered the relationship between complementing chain mechanism and strengthening chain mechanism，and expanded the applicable context and boundary of industrial chain empowerment in the new situation. The research conclusion will have certain reference value for the SRDI enterprises to play a key role in the industrial chain.

With the deep integration of digitalization into urban development，it is crucial to systematically investigate the intricate relationship and underlying mechanisms between big data strategies and the advancement of new quality productive forces in cities to fully unleash their potential. Leveraging the quasi-natural experiment of national big data comprehensive pilot zone，this study employed the panel data from 277 prefecture-level cities spanning from 2009 to 2021 and adopted the difference-in-differences （DID） model to rigorously examine the impact of big data strategies on urban new quality productive forces and their underlying mechanisms. The findings revealed that the big data strategies significantly enhance new quality productive forces，with pronounced regional heterogeneity and temporal variation in policy effects. Specifically，the policy exhibits stronger promotional effects in eastern China compared to the central and western regions，and its impact is more substantial in early-policy-adopting cities than in late-policy-adopting cities. Through mediation analysis，we identified knowledge spillovers as the dominant mediating channel by which big data strategies contribute to the advancement of new quality productive forces. Further spatial econometric analysis confirmed a distinct spatial spillover effect. These conclusions will provide actionable insights for cultivating and developing new quality productive forces，while offering empirical support for advancing China's big data strategy to achieve the goals of "Digital China" and "Data Powerhouse".

Promoting the deep integration of advanced manufacturing and modern service industries （"integration of two industries"） is a crucial pathway to enhance the core competitiveness of the manufacturing sector，accelerate the formation of new quality productive forces，and achieve Chinese-style modernization. Data openness provides a new opportunity for this endeavor. Based on the data from Chinese cities spanning 2006 to 2020，this paper constructed a quasi-natural experiment using the launch of local government public data platforms，and employed the multi-period difference-in-differences models and mediation effect models to empirically test the impact and mechanisms of data openness on the "integration of two industries". The study found that： （1） Data openness significantly promotes the "integration of two industries"；（2） The heterogeneity analysis indicated that the promoting effect of data openness on the "integration of two industries" is more pronounced in cities located southeast of the Hu Huanyong Line，cities with lower administrative levels，and cities with favorable business environments；and （3） The mechanism analysis revealed that data openness helps reduce transaction costs，enhance intellectual property protection，and accelerate the digital transformation of both manufacturing and service industries，thereby empowering the "integration of two industries". This study will provide theoretical and empirical support for how data openness can empower the "integration of two industries" and offer policy recommendations for promoting the integration of the two industries，creating new manufacturing，new services，and new business models，and advancing Chinese-style modernization.

The entry of technology enterprises serves as the innovation engine for achieving high-quality economic development. Utilizing a dataset that matches the registration information of industrial and commercial enterprises with 283 prefecture-level cities from 2004 to 2018，this paper adopted the establishment of the Yangtze River Delta Urban Economic Coordination Committee as a quasi-natural experiment，and used the machine learning method to identify the impact of unified market construction on the entry of technology enterprises. The results showed that the construction of a unified market significantly stimulates the increase in the number of technology enterprises and the enhancement of their scale，and the above promotion effect is particularly pronounced in samples characterized by smaller city size，higher financial constraints and weaker government innovation support. The mechanism analysis revealed that the construction of a unified market facilitates the entry of technology enterprises through the effects of talent agglomeration，technology agglomeration，and venture capital agglomeration. Further research uncovered that，in comparison with core cities，the construction of a unified market has a stronger effect on the number and scale of technology enterprises entering peripheral cities，thereby contributing to regional balanced development. The above findings have not only provided a novel perspective for understanding the economic effects of unified national market construction，but also provided insights for the in-depth promotion of unified national market construction and the formulation of policies aimed at regional balanced development.

Under the guidance of consolidating and improving the integrated national strategic system and capabilities，the dilemma of how to build organizational identity has become the focus of academic attention. This study selected a certain heavy truck enterprise as the research object，and deconstructed its organizational identity change process based on the meaning construction theory and cognitive schema theory. The results showed that： （1） Organizational identity follows the meaning construction process of "goal setting-perceived problem-identity response" and meaning construction has two functions： scanning environmental resources inside and outside the organization and guiding the transformation from imagination to cognition；（2） Organizational identity follows the meaning construction process of "goal setting-perceived problem-identity response"；（3） Identity cognitive schema is the logical starting point of organizational identity change. With the evolution of the richness and relevance of identity cognitive schema，it provides enterprises with a new organizational identity more clearly and specifically. （4） The identity change of integrated organization shows a path transition from "single-point integrated organization identity" to "full-chain integrated organization identity" and then to "multi-dimensional integrated organization identity". The above conclusions will provide a basis for the construction of the mechanism model of enterprise organizational identity change in the process of integration，enrich the theoretical explanation of meaning construction theory and organizational identity change theory to military-civilian integration，and help to understand and deepen the internal law of building an integrated national strategic system and capacity development.

Government data opening is a necessary measure for the supply of data factors，and using government data opening to enhance urban entrepreneurial activeness is an important path and embodiment of releasing data dividends. In this paper，government data opening was used as a quasi-natural experiment，and the progressive double-difference method was used to test the impact of data factors supply on urban entrepreneurial activeness. It was found that the supply of data factors represented by government data opening can significantly improve the entrepreneurial activeness in cities. The mechanism analysis showed that government data opening enhances urban entrepreneurial activeness by promoting technological innovation，strengthening talent gathering and improving government administrative efficiency. The heterogeneity analysis showed that the promotion effect of government data opening on urban entrepreneurial activeness is more obvious in cities with higher financial development level，digital economy development level and economic development level，as well as producer services. Further analyses showed that there is a positive correlation between the open quality of government data and the entrepreneurial activeness in cities，and the open government data improves the entrepreneurial quality in cities. This paper will enrich the research on the economic effect of data factor supply and clarify the logical mechanism of government data opening to enhance urban entrepreneurial activeness，and provide theoretical basis and decision-making reference for enhancing the positive effect of government data opening on urban entrepreneurship.

The study of the impact of environmental regulations on green patent output has become a hot topic in academic research. The dual externalities in this impact process need to be addressed through the joint efforts of environmental regulations and intellectual property protection. Integrating environmental regulations，green patents，and intellectual property protection into a unified analytical framework is significant for exploring the effective solutions to environmental problems. This paper used the data from 11 provincial-level regions in the Yangtze River Economic Belt from 2010 to 2021 to examine the impact of environmental regulations on green patent output，and further analysed the moderating effect of intellectual property protection. The research found that： （1） there is a U-shaped relationship between environmental regulations and the quantity of green patent output；（2） Environmental regulations exhibit complex nonlinear characteristics on the quality of green patent output，and after crossing the inflection point of the U-shaped relationship，they can effectively improve the quality of green patent output；and （3） Intellectual property protection plays a significant positive regulatory role in the environmental regulation process affecting the quantity and quality of green patent output. This study has filled the gap in theoretical research on the impact of environmental regulations on green patent output，and will provide practical insights for balancing environmental protection and economic development in the Yangtze River Economic Belt.

As the capital market is gradually opening up，foreign institutional investors will impose higher requirements for the ESG performance of firms based on the international ESG standards and shareholding preferences. However，it is still not clear whether it can be a beneficial complementary mechanism for non-rigid ESG institutional environment in China. Therefore，this paper selected Chinese A-share listed firms of Shanghai and Shenzhen Stock Exchange from 2009 to 2022 as the sample and examined the influence mechanism of foreign institutional investors' shareholding on the ESG performance of firms with the panel OLS regression with fixed-effects. The paper comprised four conclusions. Firstly，foreign institutional investors' shareholding improves the ESG performance of firms. This conclusion remains robust after the endogeneity and robustness tests. Secondly，foreign institutional investors' shareholding improves the ESG performance through reducing managerial myopia，alleviating financing constraints，and enhancing risk-taking. Thirdly，analyst following，media supervision，and government constraint further enhance the positive effect of foreign institutional investors' shareholding on the ESG performance of firms. Finally，foreign institutional investors' shareholding further promotes exploratory innovation through improving the ESG performance of firms. Considering China's non-rigid ESG institutional environment，the departments concerned should improve the mechanism of China capital market opening and fully play the collaborative promotion effect of external stakeholders including analysts，media，and government，in order to increase the positive governance effect of foreign institutional investors' shareholding on the ESG performance of firms.