Green data elements are a new type of production factor that can create green value for production entities and serve as an important source for cultivating new quality productive forces. Based on expounding the connotation and characteristics of green data elements, the promoting effect of green data elements on the high-quality development of manufacturing enterprises was explored. Using empirical data from China's Shanghai and Shenzhen A-share listed manufacturing enterprises from 2015 to 2022, the results indicate that green data elements have a positive impact on the high-quality development of manufacturing enterprises, manifested in the dual improvement of economic and social benefits. Data foundation support and executives' green experience positively moderate the relationship between green data elements and the high-quality development of manufacturing enterprises. Suggestions for future avenues of inquiry are proposed, including investigations into the measurement of green data elements embedding, the intermediary mechanism of digital-green synergy, the heterogeneity effect from the perspective of production factor collaboration, and examinations of boundary conditions at both the macro-regional and micro-enterprise levels. The focus on green data elements has played a positive role in advancing the theoretical study and practical exploration of the scene-based application of data elements.

As a strategic emerging resource in the digital economy era, the property rights attributes of data and their allocation logic have increasingly become a research focus in academia. Bibliometric methods were employed to present a panoramic view of journal distributions, core authors, and research hotspots in the field of data property rights. Starting with the dynamic relationship between “data” and “information”, the concept of data and its unique attributes were clarified. Progress in research on types and boundaries of data property rights was outlined, summarizing perspectives on new property models, existing property models, and non-property models. The value demands of different data stakeholders were analyzed, leading to four schemes of data ownership including data origin, data production, interest balance, and rights suspension. Finally, prospects for research on data property rights from a managerial and economic perspective are proposed, aiming to provide valuable references for constructing and improving the data property rights system in China.

As an innovative theory formed in the process of China's modernization, the organic combination of new quality productive forces and digital transformation is a major theoretical challenge at the current historical stage. The relationship between digital transformation and new quality productive forces was empirically examined through a study of China's A-share listed manufacturing companies from 2013 to 2023. Results indicate that digital transformation contributes significantly to the new quality productive forces. Further research found that digital transformation contributes to new quality productive forces by improving firms' technological innovation capabilities, and that executives' digital background plays a positive moderating role between digital transformation and new quality productive forces. Heterogeneity analysis showed that the marginal effect of digital transformation to improve the new quality productive forces of enterprises is more significant in state-owned enterprises and enterprises in the central and eastern regions. The findings provide a theoretical foundation for enterprises' digital transformation in generating new quality productive forces and offer valuable references and inspirations for exploring specific implementation paths.

Based on the era of dividends brought about by the construction of information infrastructure, it is of great significance to explore the impact of it on digital-intellectual innovations such as digitalization, cloud computing, and artificial intelligence. The driving path were discussed. Utilizing data from 284 Chinese cities from 2011 to 2021, an empirical model of information infrastructure construction on digital-intellectual innovation was constructed. It finds that the construction of information infrastructure, represented by the “Broadband China” strategy, effectively enhances the level of technological innovation in digital-intellectual innovation, such as digital technology, 5G technology, artificial intelligence technology, information technology and e-commerce technology. The conclusion remains valid after various robustness tests. Mechanism tests show that information infrastructure construction enhances digital-intellectual innovation by increasing the concentration of digital-intellectual talent and optimizing the digital-intellectual industrial environment. Heterogeneity results show that the positive impact of information infrastructure construction on digital-intellectual innovation exhibits a clear gradient effect across different regions, progressively strengthening from the central-western to the eastern regions, and from cities without high-speed rail to those with high-speed rail. It provides a theoretical base for optimizing the spatial layout of information infrastructure construction and enhancing the capacity of digital-intellectual innovation.

New quality productive forces is not only a new driving force for China's economic growth, but also a booster of high-quality development. New quality productive forces was generated by the revolutionary breakthrough of technology. And emerging digital technology has become one of the most important means, which empowers the new quality productive forces through mechanisms such as realizing the digital transformation of the three elements of productivity, promoting the significant improvement of production efficiency, creating new fields and new tracks, cultivating the growth of emerging industries and future industries, leading the optimization and upgrading of traditional industries with digital-real integration, and forming green productivity through low-carbon transformation. From the perspective of specific development paths, the effective implementation of representative emerging digital technologies, such as artificial intelligence, industrial robots, metaverse, and digital content, has strengthened the quality of factors of production, spawned new demands, new forms and new modes, and increased the momentum for the development of new quality productivity. In the future, China should firmly grasp the role of emerging digital technologies in promoting new quality productive forces, increase the investment in innovation in the field of emerging digital technologies, actively cultivate innovative talents in the field of emerging digital technologies, and improve the construction of a modernized industrial system to support the development of emerging digital technologies, so as to accelerate the formation and growth of new quality productive forces.

Based on the context of implementing an innovation-driven development strategy and promoting the construction of a digital infrastructure system in China, the theoretical mechanism of digital infrastructure driving technological innovation is systematically analyzed from the perspective of innovation input-output. Utilizing text information mining and provincial panel data from 2011 to 2021, a panel vector autoregression (PVAR) model was applied to examine the empirical relationship between digital infrastructure and technological innovation. Furthermore, a dynamic stochastic general equilibrium (DSGE) model, incorporating a technological innovation sector, was constructed to reveal the transmission pathways and effects of digital infrastructure on technological innovation through numerical simulation. The empirical results indicate that both digital infrastructure investment and the current level of digital infrastructure have a long-term positive impact on technological innovation. Simulation results further demonstrate that digital infrastructure investment positively influences independent innovation and short-term imitative innovation through R&D labor and resource allocation. The current level of digital infrastructure positively affects medium- and long-term independent innovation as well as short-term imitative innovation through R&D funding, innovation subsidies, and the quality of the digital technology environment. The impact effects of the two types of shocks exhibit characteristics of "gradual accumulation with delayed impact" and "immediate effect, " respectively. The findings provide theoretical support and policy reference for the government to guide and fully unleash the technological innovation effects and economic benefits of digital infrastructure.

In the context of building a new development pattern, promoting inter-regional capital flow and realizing the integration of regional elements through digitalization is an important part of smoothing the domestic circulation and building a unified national market. The trans-regional investment data of China's A-share listed companies from 2010 to 2021 was collected, and a multi-time point DID model was constructed to empirically test the impact and mechanism of network infrastructure construction on the inter-regional capital flow. The results show that the construction of network infrastructure significantly promotes the inter-regional capital flow, and the core conclusions are still stable after considering factors such as endogeneity and other policy interference. The mechanism test shows that the network infrastructure construction promotes the inter-regional capital flow by improving the digital management level of enterprises and alleviating the information asymmetry of enterprises. Heterogeneity analysis shows that the promoting effect is more significant for non-state-owned enterprises, enterprises with high financing constraints, and enterprises with high market segmentation. From the perspective of enterprise capital flow, enterprises invest more across provinces than in different cities in the same province. It provides a useful reference for how to better release the dividends of the digital economy and accelerate the construction of a unified national market.

Based on financial report data from A-share listed companies in Shanghai and Shenzhen Stock Exchanges from 2011 to 2022, a systematic investigation was conducted on the impact of enterprise artificial intelligence development level on new quality productive forces. The research results explicitly demonstrated that the widespread application of artificial intelligence significantly enhanced enterprise new quality productive forces. Through in-depth mechanism analysis, two major pathways were identified through which artificial intelligence improved new quality productive forces： promoting intelligent innovation (digitalization and technological innovation) and optimizing resource allocation efficiency through improved operational efficiency (including fixed asset turnover and working capital turnover). Heterogeneity analysis further indicated that artificial intelligence exhibited particularly significant positive effects on profit growth, small and medium-sized enterprises, and non-state-owned enterprises. Moderation effect analysis revealed substantial differences in artificial intelligence's impact on new quality productive forces under varying financing environments and investment efficiency conditions. These findings provided novel perspectives for understanding artificial intelligence's specific roles across different enterprise types. The empirical evidence also offered guidance for policymakers and enterprise managers on leveraging artificial intelligence technology to promote high-quality enterprise development.

Effective adjustment of labor cost is a crucial factor for enterprises to build competitive advantages in the digital and intelligent era. Different from the research perspective of aggregating all digital transformation-related word frequencies, the panel data of A-share listed companies in Shanghai and Shenzhen from 2007 to 2023 in China was utilized. By constructing an index of the upgrade from informatization and digitalization to intelligentization in enterprise digital transformation, the dynamic impact and its mechanism of enterprise intelligent upgrade on labor cost were empirically examined. The results show that in the early stage of digital transformation, informatization and digitalization will increase labor cost. When further upgrading to intelligentization, enterprise intelligent upgrade can significantly reduce labor cost. The mechanism test shows that the adjustment of human capital structure and employment scale is an important reason for the dynamic adjustment of labor cost affected by enterprise intelligent upgrade. The heterogeneity analysis indicates that for private enterprises and those in the growth and decline stages, the effect of enterprise intelligent upgrade in reducing labor cost is more prominent. These offers policy inspiration for facilitating the intelligent upgrade of enterprises, alleviating the pressure from the rising labor costs, and realizing high-quality enterprise development.

Based on the quasi-natural experiment of the Ministry of Finance's special inspection of the accounting information of pharmaceutical companies, the effect of government financial supervision on the research and development (R&D) manipulation of pharmaceutical companies was examined. It is found that government financial supervision can effectively curb the R&D manipulation of pharmaceutical companies. This governance effect mainly comes from two mechanisms of "internal and external improvement". First, as a supplementary mechanism of internal governance in pharmaceutical companies, it exerts a governance effect on R&D manipulation. It is found that when the internal control of pharmaceutical companies is weaker and the governance ability of independent directors is poorer, the governance effect of government financial supervision on R&D manipulation is more significant. Second, as a collaborative mechanism of external supervision, it exerts a collaborative governance effect on R&D manipulation. It is found that when external supervision such as media supervision or tax authority supervision is stronger, the governance effect of government financial supervision on R&D manipulation is more significant. Further research shows that the special financial supervision of pharmaceutical companies by the government also has an industry-wide warning effect. It is found that compared with other industries that have not been subject to financial supervision, the degree of R&D manipulation in the pharmaceutical industry that has been subject to government financial supervision is lower. Therefore, when conducting financial supervision, government financial departments should adopt targeted supervisory measures based on the internal governance status of companies and the strength of external supervision.

In recent years, natural disasters, extreme weather, plague and other emergencies continue to erode the sustainable development of cities. In order to effectively respond to the crisis and quickly recover, it has become increasingly urgent for cities to strengthen their resilience and achieve sustainable development. Based on the institutional logic theory, the NCA and QCA methods were used to conduct qualitative comparative analysis of 170 cities above prefectural level, and the complex impact mechanism of technological, organizational and environmental antecedents on urban resilience from a holistic perspective was explored. The results show that a single antecedent does not constitute a necessary condition for the generation of high urban toughness, nor does it constitute a sufficient condition for the generation of high urban toughness. The linkage and matching of technology, organization and environment has formed a diversified configuration form of urban resilience, which has the obvious characteristics of "different paths and the same destination". It is embodied in the market leading mode, community and market dual-wheel drive mode, policy and market dual-wheel drive mode, government and market dual-wheel drive mode. The resilience configuration of high cities in different periods of time is not completely the same, and will change with the passage of time and technological progress. However, the mode with high-level digital infrastructure and high industrial convergence as the core conditions has high stability. The research conclusion provides a decision-making basis for the city to improve its resilience from the perspective of configuration, makes up for the limitations of the traditional quantitative analysis on this issue, and to a certain extent enriches the theory of urban resilience and institutional logic.