Table of Content

28 December 2025, Volume 37 Issue 11 Previous Issue   
---
Case Studies


For Selected:

Download Citations EndNote Ris BibTeX

Toggle Thumbnails

Select

The Theoretical Logic and Level Measurement of New-quality Productive Forces Development under the Perspective of Artificial Intelligence Chen Xiaohong, Huang Chengdong, Yuan Yige, Tang Xiangbo 2025, 37 (11):  3-14.  Abstract ( 33 )   PDF (1750KB) ( 22 )   Grasping the developmental patterns of productivity under the perspective of artificial intelligence holds significant value for propelling the qualitative transformation of productivity. This paper incorporates the transformative characteristics of AI into the theoretical analytical framework and systematically elucidates the conceptual connotations of the new type of productivity. Based on the three-factor theory of productivity, it reveals the theoretical logic through which the productivity system achieves qualitative leaps by renewing the connotations of its elements and optimizing their combinations, under the context of AI altering the modes of social production. On this basis, the paper further summarizes the measurement indicators of the three elements of productive forces from the perspective of AI and proposes a framework for measuring new-quality productive forces. It then uses this framework to assess the current state of new-quality productive forces at the provincial level. From a spatial dimension, the visualization of the characteristics of new-quality productive forces development reveals a polarization phenomenon among provinces and a stepwise development pattern of “coastal—riverine—inland” regions. Meanwhile, the regional imbalanced development of new-quality productive forces overlaps to some extent with that of economic levels, although some provinces at relatively lower economic levels have already shown a trend of using new-quality productive forces to achieve economic catch-up. This paper aims to enrich the theoretical system of new-quality productive forces and provide decision-making support for the practical application of AI in driving qualitative changes in productive forces by measuring the level of new-quality productive forces development. References | Related Articles | Metrics

Select

The Impact of Corporate Digital Technology Innovation on the Development of New Quality Productivity in Local Economies Chen Rongda, Zhai Jiajun, Zhang Shuonan, Tao Kerun, Zhang Youbin 2025, 37 (11):  15-26.  Abstract ( 21 )   PDF (1128KB) ( 14 )   Against the backdrop of deep integration between the real economy and the digital economy, digital technology innovation serves as a crucial driving force for the development of new quality productive forces. This paper examines the impact of enterprise digital technology innovation on local new quality productive forces and its underlying mechanisms, using a sample of listed companies on the Shanghai and Shenzhen Main Boards from 2015 to 2021. The empirical findings reveal that: (1) Enterprise digital technology innovation significantly promotes the enhancement of local new quality productive forces, a result further validated by robustness tests; (2) This promoting effect is realized through the optimization of human capital structure, improvement of investment efficiency, and advancement of high-quality enterprise development; (3) The promoting effect is inhibited in highly labor-intensive enterprises, amplified in regions with a developed digital economy, yet insignificant in less developed western regions and areas with lower levels of intellectual property protection. This study provides a new perspective for understanding how micro-level enterprise innovation improves local economic endowments and offers empirical support for advancing new quality productive forces. References | Related Articles | Metrics

Select

How does the Coupling Effect of Digital Transformation and Green Transformation Promote New-quality Productivity?—A Mixed-methods Study Based on the Dynamic Capability Theory Chen Yantai, Hao Yajie, Pan Dapeng 2025, 37 (11):  27-40.  Abstract ( 24 )   PDF (4257KB) ( 14 )   Against the backdrop of deep integration between the global digital economy and green economy, the dual transition (synergistic digital and green transformation) has emerged as a core pathway for driving new quality productive forces. This study constructs an evolutionary game model to analyze the preconditions for government, enterprises, and digital service providers during the dual transition, revealing the mechanism through which this synergy promotes new quality productive forces. Key findings indicate that embedded innovation of green and digital technologies, self-reinforcing dynamic feedback of cost-benefit structures, and innovation ecosystems built through multi-agent collaborative networks are crucial for advancing new quality productive forces. Using FENGDENG as a case study, we dissect an enterprise’s evolution from singular green transition to dual transition, demonstrating how its “mutual-construction and co-change” mechanism between green dynamic capabilities and new quality productive forces achieves win-win economic-environmental outcomes. This research provides theoretical guidance and practical references for Chinese enterprises implementing dual transition. References | Related Articles | Metrics

Select

Research on the Mechanism and Path of Green Energy Efficiency Improvement Empowered by New Quality Productive Forces Shen Lizhong, Geng Chen, Li Xiuting, Dong Jichang 2025, 37 (11):  41-53.  Abstract ( 18 )   PDF (1144KB) ( 8 )   Under the “dual carbon” strategic goal, cultivating and developing new quality productive forces has become a crucial approach to addressing energy shortages and enhancing green energy efficiency. This paper utilizes fixed-effect model, mediating model, and threshold model to examine the impact of new quality productive forces on green energy efficiency based on provincial panel data from China spanning 2013 to 2022. The findings indicate that the advancement of new quality productive forces effectively empower green energy efficiency, particularly in provinces with high resource dependence, a high level of industrialization, and significant industrial agglomeration. Green technology innovation and digital financial construction are the key mechanisms for new quality productive forces to empower green energy efficiency. Furthermore, it is observed that new quality productive forces exhibit a typical nonlinear effect on green energy efficiency. Specifically, when the level of the digital economy surpasses a certain threshold, the impact of new quality productive forces on improving green energy efficiency follows a nonlinear trajectory characterized by “U” shape of “restrain-hysteresis-excitation”. However, when the degree of environmental regulation exceeds a specific threshold value, its promoting effect demonstrates a nonlinear trend marked by marginal decline. References | Related Articles | Metrics

Select

Digital Green Technological Convergence Asset Structure Mismatch and High-quality Development of Enterprises—Moderating Effect of Knowledge Combination Ability Li Weiming, Cao Xia, Zhang Xin 2025, 37 (11):  54-66.  Abstract ( 32 )   PDF (1169KB) ( 20 )   The integration of digital technology and green technology can drive enterprises to optimize resource allocation and play an important role in achieving high-quality development. This research uses invention patent information to measure the digital and green technology integration behavior of enterprises, and takes A-share listed companies in emerging industries as samples to study the impact of digital and green technology integration on the high-quality development of enterprises and its mechanism. The study finds that the width and depth of the digital and green technology integration of enterprises have a positive impact and a positive U-shaped impact on the high-quality development of enterprises respectively, and the above conclusions are still valid after the robustness test. The mechanism analysis shows that the width and depth of digital and green technology integration can promote the high-quality development of enterprises by improving the mismatch of asset structure. Knowledge combination ability only positively moderates the relationship between the breadth of integration and the high-quality development of enterprises. The heterogeneity analysis shows that the significance of the impact of the width of digital and green technology integration on the high-quality development of enterprises shows a heterogeneity pattern of “eastern region>central region>western region,” and shows a more significant positive impact in the samples of non-state-owned enterprises, while the depth of digital and green technology integration only shows a significant U-shaped impact in the samples of eastern enterprises and non-state-owned enterprises. The research conclusions of this paper can enrich and expand the relevant theories of digital and green technology convergence, and provide practical support and policy enlightenment for China’s enterprises to promote the convergence of digital and green technology and promote the high-quality development of enterprises. References | Related Articles | Metrics

Select

Research on the Mechanism of How Digital-Green Synergistic Transformation Influences Firm Performance in Manufacturing Sector Zhang Zhiwei, Zhang Ning, Xiao Tusheng 2025, 37 (11):  67-80.  Abstract ( 18 )   PDF (1184KB) ( 21 )   The digital-green synergistic transformation (referred to as “dual synergy”) in manufacturing firms is an inevitable requirement for developing new quality productive forces and advancing high-quality development, as well as a critical pathway to enhance corporate competitiveness. Existing studies, both domestic and international, have separately explored the impacts of digital and green transformations on the performance of manufacturing enterprises, yet research on the impacts of dual synergy transformation remains scarce. This paper, based on data from China’s A-share listed manufacturing firms from 2007 to 2022, constructs a dual synergy index for manufacturing firms using the coupling model method and empirically tests the impact of dual synergy on firm performance. The findings reveal a nonlinear U-shaped relationship between dual synergy and firm performance, where positive benefits emerge only after a threshold is crossed. Mechanism analysis indicates that both efficiency and cost channels mediate this relationship: dual synergy first suppresses and then promotes efficiency (U-shaped), while initially increasing and subsequently reducing costs (inverted U-shaped), thereby influencing performance. Environmental regulation and industrial structure rationalization moderate the U-shaped relationship between dual synergy and firm performance, with stronger environmental regulation and higher industrial structure rationalization flattening the curve. Heterogeneity analysis shows that the U-shaped relationship holds for both heavily and non-heavily polluting firms (more pronounced in the latter), as well as for firms in central/eastern regions and high-tech industries, but not for western regions or non-high-tech firms. This study provides empirical evidence for theoretical and practical research on dual synergy and offers strategic insights for manufacturing firms to enhance competitiveness. References | Related Articles | Metrics

Select

AI Adoption, Dynamic Capabilities and the New Quality Productivity of Manufacturing Enterprises Guo Runping, Wang Kecai, Lu Xiaoxuan, Jiang Hu 2025, 37 (11):  81-93.  Abstract ( 16 )   PDF (1191KB) ( 15 )   Artificial Intelligence (AI) is an important engine of the new quality productivity. AI adoption is of great significance for manufacturing enterprises to build dynamic capabilities and thereby enhance the new quality productivity. However, few studies have deeply analyzed the mechanism of AI adoption acting on the new quality productivity of manufacturing enterprises from the perspective of dynamic capabilities. Therefore, this paper, based on the theory of dynamic capabilities, uses the data of manufacturing enterprises listed on China’s A-share market from 2015 to 2021 to empirically analyze the impact of AI adoption on the new quality productivity of manufacturing enterprises, and examines the mediating role of the different dimensions of dynamic capabilities and the moderating role of market competition intensity. The research findings are as follows: (1) Al adoption significantly and positively enhances the new quality productivity level of manufacturing enterprises, with the results remaining robust after multiple robustness tests; (2) Dynamic capabilities mediate the relationship between AI adoption and the new quality productivity of manufacturing enterprises; (3) Market competition intensity plays positive moderating roles among AI adoption and the new quality productivity of manufacturing enterprises；(4) Market competition intensity exerts differential moderating effects: it positively moderates the association between innovation capability and the new quality productivity in manufacturing enterprises, negatively moderates the relationship between absorptive capacity and the new quality productivity in manufacturing enterprises, while demonstrating no significant moderating effect on the linkage between adaptive capability and new quality productivity. The research findings contribute to a deeper understanding of the mechanisms through which AI influences new quality productive forces in manufacturing enterprises, extend the theoretical exploration of dynamic capability into AI-driven contexts, deepen the understanding of the boundaries of different dynamic capability dimensions, and enrich the antecedent research on the new quality productivity of manufacturing enterprises. Furthermore, this study offers actionable strategies for Chinese manufacturing enterprises to cultivate and enhance their new quality productive forces. References | Related Articles | Metrics

Select

Is Digital Economy the Key to Driving Domestic Circulation?—Based on Non-competitive Digital Economic Input-output Table Sun Jialu, Xu Jian, Li Chuan, Su Qi, Jiang Zhijian 2025, 37 (11):  94-109.  Abstract ( 6 )   PDF (3527KB) ( 8 )   Establishing the dominant position of domestic circulation is the core essence of the new development paradigm. The potential of digital economy as a new engine for economic development to enhance both the scale and quality of domestic circulation is closely related to the coordination and effectiveness of China’s major economic development strategies. This paper divides the value of domestic production into four parts from the perspectives of demand sources and factor supply. It proposes two approaches, broad and narrow, for measuring domestic circulation, based on different interpretations of the foreign value-added generated by domestic demand. By constructing a non-competitive digital economic input-output model for the period 2007 to 2020 and employing Structural Decomposition Analysis (SDA) method, this study empirically investigates the impact of digital economy on the dual circulation pattern from both demand and supply sides. The research findings reveal that the development of digital economy significantly increases the proportion of domestic value-added triggered by domestic demand, thereby strengthening the dominant position of domestic circulation. This effect is achieved through the coordinated development in the intermediate input structure, the enhancement of digital-real economy integration, and the increasing share of digital economy consumption and investment in the final demand structure. China faces challenges in the digital product manufacturing sector, necessitating the overcoming of core technological bottlenecks to fully harness the role of digital economy in enhancing the quality of domestic circulation and achieving the localization of key industrial chains. References | Related Articles | Metrics

Select

An Evolutionary Game Study on the Development of New Quality Productive Forces Empowered by the Co-development of Digital Intelligence Innovation and Industry Chain Finance Li Guangrong, Wang Qing 2025, 37 (11):  110-127.  Abstract ( 5 )   PDF (8289KB) ( 3 )   The coupling and co-evolution of industrial chain finance and digital-intelligent innovation promote the deep integration of capital chain, innovation chain, talent chain, and industrial chain, providing a novel perspective and implementation path for the development of new quality productivity. Based on the new quality productivity function, this paper constructs a quadripartite evolutionary game model involving “financial institutions - leading enterprises - small and medium-sized enterprises (SMEs) - universities and research institutes”, revealing the development mechanism of new quality productivity under complex systems. The study finds that: (1) the steady-state evolution of the system is driven by the interweaving of key variables, and the strategic choices of entities are influenced by multiple factors, including the cost-benefit of digital-intelligent transformation, risk transmission, and resource spillover; (2) the transition from low-efficiency equilibrium to high-efficiency equilibrium hinges on the threshold breakthrough of critical variables, encompassing digital-intelligent investment, inter-entity collaboration costs, the enabling effects of digital-intelligent talents and innovation, and policy compensation intensity; (3) industrial chain finance and digital-intelligent innovation activate the spiral interaction of “talent chain→innovation chain→capital chain→industrial chain”, forming a dynamic co-evolution enhancement mechanism: financial institutions reconstruct capital chain logic leveraging digital-intelligent risk control, leading enterprises drive industrial chain ecosystem upgrading, universities and research institutes enhance talent and innovation empowerment efficiency, and SMEs unleash synergistic effects through iterative participation and symbiotic development; (4) green digital and intelligent technology achieves increasing marginal returns through threshold breakthroughs in green efficiency, and the digital and intelligent empowerment and industrial chain financial leverage effects exhibit asymmetric reciprocity and phased dependence. The main contributions of this paper lie in three aspects: theoretically it constructs a new quality productive force function, breaking through the limitations of traditional production functions; methodologically it designs a four-party evolutionary game framework to identify the role of multi-agent key variables and their threshold conditions, and quantitatively analyzes dynamic evolution laws; practically it proposes a governance path to promote the development of new quality productive force, emphasizing multi-agent collaboration, multi-stage implementation, four-chain integration, and green regulation. References | Related Articles | Metrics

Select

The Impact of Digital Transformation on Corporate Mergers and Acquisitions—A Discussion on Heterogeneous M&As from the Perspective of New Quality Productive Forces Yi Jingtao, Zhang Guochang 2025, 37 (11):  128-140.  Abstract ( 8 )   PDF (2140KB) ( 6 )   Mergers and Acquisitions(M&As) serve as a critical mechanism for optimizing resource allocation and driving high-quality economic development. In the context of the rapid growth of the digital economy, this study explores the impact of digital transformation on corporate M&As, as well as on heterogeneous M&As from the perspective of new quality productive forces using data from A-share listed companies in Shanghai and Shenzhen between 2007 and 2023. The finding indicates that digital transformation significantly stimulates corporate merger activity. The mechanism analysis shows that digital transformation drives mergers through information effect and by strengthening internal controls. Further analysis shows that digital transformation promotes intelligent, green, and high-end mergers, thereby contributing to the cultivation and development of new quality productive forces. This paper provides empirical evidence for the information effect of digital transformation in driving M&A decisions and offers a novel micro-level approach to empirically analyze the development of new quality productive forces. The findings have important implications for firms aiming to harness digital transformation to initiate M&A and accelerate the cultivation and development of new quality productive forces. References | Related Articles | Metrics

Select

The Impact of Digital Infrastructure Construction on the Development of New Quality Productivity in Cities Li Xiaoxuan, Liu Ying 2025, 37 (11):  141-152.  Abstract ( 6 )   PDF (1209KB) ( 2 )   Digital infrastructure construction is the basic foundation for cities to accelerate the development of new quality productivity. Based on the prefecture panel data of 284 cities over the period from 2010 to 2022, the empirical analysis takes the “Broadband China” strategy as a quasi-natural experiment and tests the impact of digital infrastructure construction on the new quality productivity of urban development and its mechanism. The research findings indicate that the digital infrastructure construction is conducive to the development of new quality productivity in cities. Under the influence of network effects and positive externalities, the digital infrastructure construction can improve the development level of urban new quality productivity by stimulating urban green technology innovation, improving the degree of agglomeration of enterprises above designated size in cities, and accelerating the evolution of industrial structure upgrading. This research quantitatively evaluates the economic effect of digital infrastructure empowering cities to develop new quality productivity. It provides a useful reference for the development of new quality productivity according to local conditions. References | Related Articles | Metrics

Select

The Impact of Digital and Green Dual Transformation on New Quality Productivity of Enterprises: Effect Evaluation and Mechanism Analysis Wang Qunwei, Li Zhenran, Lai Aolin 2025, 37 (11):  153-166.  Abstract ( 7 )   PDF (2345KB) ( 7 )   In the context of digital and green dual transformation, enhancing the new quality productivity of enterprises can more effectively drive high-quality economic development. Utilizing data from A-share listed companies in China from 2008 to 2021, this paper uses the “Broadband China” and low-carbon city pilot policies as quasi-natural experiments for “digital” and “green” policies, respectively, to empirically assess the advantages of dual transformation over single policies in promoting the development of new quality productivity in enterprises. The study finds that both digital and green policies can enhance new quality productivity in enterprises, and the effect of dual transformation is significantly better than that of single policies. Over time, the effects of both dual transformation and single policies gradually increase. Mechanism analysis shows that dual transformation enhances new quality productivity in enterprises through smart manufacturing and innovation-driven development. Corporate financing constraints weaken the effect of green policies, while corporate social responsibility enhances the effects of both digital and green policies. Heterogeneity analysis shows that dual transformation has a more pronounced effect on enhancing new quality productivity for firms in eastern regions, firms in non-resource-based cities, and young as well as high-tech firms. Additionally, dual transformation has boosted firms’ total operating revenue and employment while also increasing total costs. References | Related Articles | Metrics

Select

Study on the Impact of Green Finance Reform and Innovation Policy on New Quality Productivity Tang Liang, Yang Guoyu 2025, 37 (11):  167-180.  Abstract ( 12 )   PDF (1244KB) ( 5 )   Green financial reform and innovation is an important policy means to achieve green and sustainable development and enhance new quality productivity. In order to study the mechanism and path of green finance reform and innovation policies acting on new quality productivity, the prefecture-level data of 2012—2022 are used to test the mechanism of how green financial reform and innovation policies influence new quality productivity from the perspectives of technological innovation, industrial structure and financial resource allocation efficiency. The research conclusion shows that green finance reform and innovation policies significantly improve the level of new quality productivity. This promotion effect is realized by optimizing the industrial structure, improving the green innovation ability and optimizing the efficiency of financial resource allocation. The results of heterogeneity analysis show that the effect of green financial reform and innovation policies on promoting new quality productivity is more significant in areas with better business environment, higher financial development level and high degree of marketization. The conclusions of this paper provide empirical evidence for the implementation of green financial reform and innovation policies and the development of new quality productivity. References | Related Articles | Metrics

Select

Service Trade and the Spatial Effects of Green Cities—New Quality Productivity of Urban Industries by “Dual Transformation” Huo Da, Gu Wenjia, Qiao Li, Tang Aidi, Hu Chao 2025, 37 (11):  181-193.  Abstract ( 6 )   PDF (1244KB) ( 6 )   This study uses spatial models to examine how service trade supports cities in achieving both digital and green transformation. The results indicate that service trade and the digital economy help reduce carbon emissions within each district, and their co-function effect also lowers emissions in nearby districts. Cluster analysis is used to identify the distribution patterns of service trade and the “dual transformation,” and a Markov chain is further applied to predict how service trade will drive progress in both digitalization and greening. The findings suggest that districts will gradually move toward a stationary state with higher levels of service trade, stronger digital economies, and lower carbon emissions. In addition, the Hungarian algorithm is employed to identify the optimal carbon emission outcomes for new quality productivity in green urban industries. The study explores how different districts in Beijing can use service trade to advance digital-green synergies under various scenarios. References | Related Articles | Metrics

Select

The Impact of Digital Transformation on New Quality Productivity: Based on the Perspective of Supply Chain Spillover Effects Wu Fan, Xu Xianhao, Xue Longfei, Lu Xingwei 2025, 37 (11):  194-205.  Abstract ( 17 )   PDF (2079KB) ( 9 )   Digital transformation serves as a crucial initiative to promote the development of new quality productive forces among enterprises in supply chains. How enterprise digital transformation can empower new quality productive forces constitutes one of the key issues affecting China’s economy in achieving high-quality, high-efficiency, and sustainable development. This paper proposes the concept of new quality productive forces and constructs a corresponding indicator system, enriching the theoretical connotation of new quality productive forces in current research. It supplements the influencing factors and realization mechanisms of new quality productive forces among supply chain enterprises. From the perspective of supply chain spillover effects, using matched data between client and supplier firms listed on China’s A-share market from 2011 to 2022, this study investigates the heterogeneous mechanisms of how client firms’ digital transformation influences supplier firms’ new quality productive forces. The findings reveal that client firms’ digital transformation significantly enhances supplier firms’ new quality productive forces, indicating a backward spillover effect of digital transformation on the development of new quality productive forces in supply chains. Mechanism analysis demonstrates that client firms’ digital transformation primarily promotes supplier firms’ new quality productive forces by improving supply chain stability and transparency. Heterogeneity analysis shows that the promoting effect of client firms’ digital transformation is more pronounced when supplier firms are state-owned enterprises, located in eastern regions with stronger economic foundations, and belonging to high-tech industries. The research outcomes suggest that leveraging the spillover advantages of enterprise digital transformation holds significant theoretical and practical implications for fostering new quality productive forces in supply chains, enhancing supply chain stability and transparency, and revitalizing production factors along supply chains. References | Related Articles | Metrics

Select

How Artificial Intelligence Affects Corporate Disruptive Green Innovation: A Knowledge Recombination Perspective Zhou Yuan, Dai Xingliang, Xu Guannan 2025, 37 (11):  206-218.  Abstract ( 22 )   PDF (1315KB) ( 14 )   Disruptive green innovation (DGI) is essential for achieving carbon neutrality goals; however, its development is constrained by the dual challenges of externalities and substantial knowledge burdens. Artificial Intelligence (AI), with its potential to act as an “invention of a method of invention,” raises important yet underexplored questions concerning whether and how it influences firms’ DGI. Drawing on the knowledge recombination perspective, this study develops a theoretical framework to elucidate the mechanisms through which AI technologies can facilitate DGI at the firm level. To empirically validate this framework, we utilize panel data from China’s A-share listed manufacturing firms spanning 2007 to 2019. To improve measurement accuracy, we employ the BERT machine learning model to analyze corporate annual reports and construct firm-level AI adoption indicators, while the disruptiveness of green innovation is measured using the CD index derived from patent citation networks. The results reveal that AI significantly promotes DGI, primarily through dual pathways of expanding knowledge search breadth and deepening knowledge search depth. Heterogeneity analysis demonstrates that AI’s positive effects on DGI are more pronounced in regions with advanced digital infrastructure, weaker environmental regulation intensity, and firms receiving higher R&D subsidies. This study deepens the understanding of AI’s role in driving DGI at the micro-enterprise level, providing empirical evidence and theoretical insights for fostering synergistic development of intelligent and green transformation in corporations. References | Related Articles | Metrics

Select

Digital Strategy Cognition and Firms’ Green Transformation: The Different Mediating Role of Environmental Attention Ma Meiting, Wu Xiaojie, Luo Ziting, Huang Shan 2025, 37 (11):  219-231.  Abstract ( 12 )   PDF (2223KB) ( 14 )   The deep integration of digitization and greening creates possibilities for new quality productive forces. Previous studies mainly focus on the role of macro digital factors in corporate green transformation, but ignore the internal driving force of management’s digital strategy cognition. Taking A-share listed companies in Shanghai and Shenzhen from 2012 to 2023 as a sample and based on the theoretical framework of “cognition-attention-transformation”, this paper investigates the differential mediating role of environmental attention on the relationship between management’s digital strategy cognition and corporate green transformation from the combination perspective between upper echelons and attention-based view. The results show that: (1) The stronger strategic cognition a firm has toward digitalization, the better able it is to improve its total factor productivity and green innovation; (2) Compared with environmental attention centralization strategy that causes high operating costs initially, digital strategy, once cognized deeply, will motivate firms to adopt environmental attention decentralization strategy to search for diversified information and resources to improve their total factor productivity. However, in contrast to environmental attention decentralization strategy that brings about redundant information, digital strategy, once cognized deeply, will motivate firms to adopt an environmental attention centralization strategy to search for information resources in depth to make breakthroughs in digital technology, thus realizing green innovation. Itis essential to clarify the differential theoretical mechanisms of how management’s digital strategy cognition affects enterprises’ green transformation, and this not only helps to expand the existing literature on digitalization promoting enterprise green transformation, but also has theoretical and practical implications for pushing the formation and development of new quality productive forces. References | Related Articles | Metrics

Select

Research on Dynamic Configurational Effects of Doing Business Ecosystems Driving Digital-Green Synergistic Innovation Tian Qingfeng, Shen Weikang, Li Yao 2025, 37 (11):  232-244.  Abstract ( 21 )   PDF (1345KB) ( 5 )   Digital-green synergistic innovation is a core element in the development of new quality productive forces. How to optimize the doing business ecosystems to drive the development of digital-green synergistic innovation is an urgent issue. This paper clarifies the concept and evaluation approach of digital-green synergistic innovation, and integrates institutional configuration theory with the ecological system coupling perspective. Using a sample of 724 listed high-tech companies from 2011 to 2021, this paper employs a mixed-method approach to explore the diverse doing business ecological configuration paths, evolution patterns, and impact effects that drive high-level digital-green synergistic innovation. The findings are as follows: (1) Individual doing business ecological factors do not constitute a necessary condition for the development of digital-green synergistic innovation. (2) Four configuration paths driving digital-green synergistic innovation are identified: government-empowered, socially-led non-coupling (H1), socially-led non-coupling (H2), government-social dual-led non-coupling (H3), and government-market-social collaborative loose coupling (H4), with human resources and innovation environment playing a relatively universal role. (3) From a temporal perspective, configurations H1, H3, and H4 exhibit a clear parallel downward fluctuation trend. Geographically, some high-tech companies achieve high-level digital-green synergistic innovation development through non-unique paths. (4) The driving effects of high-level configurations are significant, particularly in private companies and high-tech companies run by a young management team. The results of this study provide important theoretical foundations and practical references for revealing the doing business ecological paths that drive high-level digital-green synergistic innovation. References | Related Articles | Metrics

Case Studies

Select

Research on the Process of Achieving Sustainable Digital Transformation in Manufacturing Enterprises: From the Perspective of “Digital” and “Green” Resource Orchestration Wang Yonggui, Zeng Jing, Wang Linlin 2025, 37 (11):  245-259.  Abstract ( 16 )   PDF (1720KB) ( 12 )   Promoting the integration of digitalization and greenification is an objective requirement for enterprises to achieve green and low-carbon transformation, and it is also an essential part of promoting the comprehensive green transformation of the entire economy and society. As the micro-level drivers of ecological progress and economic growth, enterprises should implement a sustainable digital transformation strategy oriented by the integration of digitalization and greenification. This is a key measure to achieve the “dual-carbon” goals and increase benefits. Based on the theoretical perspective of resource orchestration and taking Schneider Electric as a case study, this paper explores how manufacturing enterprises can orchestrate resources and form corresponding organizational capabilities to achieve sustainable digital transformation. The research findings indicate that the sustainable digital transformation of manufacturing enterprises is an iterative process of gradually realizing technological sustainability, economic sustainability, and environmental sustainability. During this process, enterprises go through the stages of resource development and capability generation, resource revitalization and capability response, and resource linking and capability leap. On this basis, this paper constructs a process model for manufacturing enterprises to achieve sustainable digital transformation. This paper opens the “black box” of the sustainable digital transformation process for manufacturing enterprises and provides theoretical support for enterprises to promote the integrated development of digitalization and greenification. References | Related Articles | Metrics

Select

How do Private Resource-based Enterprises Achieve Green Transformation under the Drive of Institutional Logic? Li Yuchen, Gao Xia, Ma Caiyun 2025, 37 (11):  260-272.  Abstract ( 12 )   PDF (3994KB) ( 9 )   Under the background of the “Carbon Peaking and Carbon Neutrality Goals” and the development of New Quality Productive Forces, green transformation and upgrading of resource-based enterprises has become important keys to promote China’s path to modernization. Previous studies have mostly explored green transformation of manufacturing enterprises as a whole, lacking systematic characterization and in-depth analysis of the dynamic evolution process of resource-based enterprises’ green transformation driven by institutional logic. This study adopts a longitudinal single case study method to deeply analyze the internal formation mechanism of the evolution process of green transformation of resource-based enterprises, which is driven by institutional logic→resource action process→dynamic capability improvement→green transformation results. The research results indicate that: (1) resource-based enterprises have undergone a process of green transformation from “survival oriented” to “development oriented”. Government logic is the driving force behind the green transformation of resource-based enterprises, while market logic is the guiding foundation for the transformation. (2) Resource based enterprises strengthen dynamic capacity building through resource actions, deeply shaping and ultimately determining the effectiveness of green transformation through capacity building. (3) Resource based enterprises have successfully overcome the traditional productivity development model that relies heavily on resource inputs and high energy consumption during the transformation process, promoting the accelerated formation of new quality productivity. In summary, this study responds to the urgent need of the academic community for research on the green transformation and development of new quality productivity in small and medium-sized enterprises, providing a new theoretical perspective for the green transformation of local resource-based enterprises, and also providing beneficial management insights for the green transformation and upgrading of resource-based enterprises in China under the “Carbon Peaking and Carbon Neutrality Goals”. References | Related Articles | Metrics

Select

Aggregation and Fusion: A Study on the Momentum-Enhancing and Enabling Mechanisms of Innovation Consortia in the Development of New-quality Productive Forces—Evidence from the Oil and Gas Industry Zhang Hongsi, Huang Haixia, Su Yinao, Gao Yuchen 2025, 37 (11):  273-288.  Abstract ( 17 )   PDF (2651KB) ( 9 )   Giving full play to the role of innovation consortia in tackling key and core technologies is an important pillar for advancing the development of new-quality productive forces. Using innovation consortia in the oil and gas industry as cases, this paper analyzes how they enhance momentum and enable the development of new-quality productive forces. New-quality productive forces are inherently green productive forces, and the oil and gas industry’s pursuit of “newness” and “greenness” reflects both the technological-innovation-driven and green, low-carbon characteristics of new-quality productive forces. Based on multiple case studies of innovation consortia in the oil and gas industry, this paper depicts the institutionalization process of such consortia and argues that, by relying on institutionalized innovation consortia, enterprises can achieve a virtuous cycle in which “capabilities rise with momentum, and momentum is aggregated by capabilities.” The bidirectional enhancement of “momentum” and “capability” creates conditions for exploring new forms of productive forces. The mechanisms for enhancing momentum include embedding in alliances to leverage external momentum, organizational resilience to counter adverse trends, and ecosystem co-creation to generate momentum; the enabling mechanisms include cross-domain deployment and collaboration, cyber-physical twin co-evolution, and flexible orchestration of production factors made possible by innovation consortia. Integrating organizational momentum (shi) theory (“momentum”) with dynamic capabilities theory (“capabilities”), this paper proposes a coupled momentum-capability mechanism model and, based on longitudinal case analysis, portrays a spiraling upward path of mutual reinforcement between momentum and capability, thereby deepening management theory’s understanding of organizational momentum in the Chinese context. The findings provide theoretical insights and practical references for helping Chinese enterprises build upgraded versions of innovation consortia and foster new-quality productive forces. References | Related Articles | Metrics