Chinese Manufacturing Enterprises Research Articles

Collaborative supply chain finance based on transaction cost theory: a multiple case study in the POF scenario

ABSTRACT In traditional supply chains, downstream distributors of core companies often face significant cash pressure and market uncertainty. In this case, purchase order finance (POF), as an important form of supply chain finance (SCF), plays a vital role in addressing these challenges by providing loan support to financially constrained companies during the ordering stage. To gain more empirical insights into SFC in the POF scenario, this study conducts an in-depth case analysis of the collaborative POF services between three banks and one Chinese core manufacturing enterprise. Based on the results, we identified the collaborative details (goal congruence, information sharing, resource sharing, and synchronised decision-making) and the impacts of the digital investment of banks. The main conclusions of this study have certain reference values for banks in establishing digital capabilities and for core companies in making SCF-related decisions.

Does intergenerational mobility affect corporate innovation? Evidence from Chinese manufacturing enterprises

Integrating efficiency with dynamic fairness is crucial for advancing economic development. This study aims to enhance the analytical framework guiding firm behavior by introducing intergenerational mobility. Using data from Chinese listed enterprises, we empirically investigate the impact of intergenerational mobility on corporate innovation levels. The results show that higher regional intergenerational mobility promotes both quantity and quality of corporate innovation. Compensation incentive, Human capital allocation and social trust are identified as transmission mechanisms. Furthermore, the positive effect of high intergenerational mobility on innovation output is more pronounced in local private enterprises than in state-owned ones. Additionally, our study reveals that formal institutions have substitutive relationship with intergenerational mobility in affecting corporate innovation. These findings contribute to a nuanced theoretical understanding of opportunity equality at the micro-level and provide empirical evidence supporting China’s sustainable economic development.

How does digital transformation affect the ESG performance of Chinese manufacturing state-owned enterprises?-Based on the mediating mechanism of dynamic capabilities and the moderating mechanism of the institutional environment.

Against the background of sustainable development policies, the ESG performance of Chinese manufacturing enterprises is still generally poor. As the leading enterprises in the manufacturing industry, state-owned enterprises should take the lead in responding to the national call for sustainable development and actively explore the path to improve their ESG performance. This study aims to explore whether and how state-owned manufacturing enterprises can improve their poor ESG performance through digital transformation in the digital economy. This study takes Shanghai and Shenzhen A-share state-owned listed manufacturing enterprises as the research sample and constructs an unbalanced panel. OLS regression analysis is used to empirically test the impact of digital transformation on the ESG performance of the sample firms. Further attempts are made to discuss the influence mechanism of digital transformation from the perspectives of dynamic capabilities and the institutional environment through stepwise and hierarchical regression methods, respectively. The study shows that, firstly, digital transformation is an important influencing factor in promoting the improvement of enterprises' ESG performance, and at the same time, there are significant structural differences in this influence. Second, under the dynamic capability perspective, digital transformation can improve corporate ESG performance through an absorptive feedback mechanism, matching response mechanism, and innovation efficiency enhancement mechanism. Third, from the perspective of the institutional environment, the informal system has a significant positive moderating effect on the relationship between digital transformation and ESG performance, i.e., the informal system and digital transformation have a synergistic governance effect on corporate ESG performance. The moderating effect of the formal institutional environment on digital transformation and ESG performance is not significant. The findings of the study clarify the controversy over the relationship between digital transformation and ESG performance of manufacturing state-owned enterprises and enrich the research on the influencing factors of corporate ESG performance. It also provides a theoretical foundation and empirical evidence for manufacturing SOEs to improve ESG performance and lead to sustainable development.

ПРОЕКТ ЭМПИРИЧЕСКОЙ ШКАЛЫ ЦИФРОВОЙ ТРАНСФОРМАЦИИ ПРОИЗВОДСТВЕННЫХ ПРЕДПРИЯТИЙ КИТАЯ

Digital transformation has become an important way to achieve high-quality growth of manufacturing enterprises. The article is devoted to a questionnaire on this topic, the purpose of which is to obtain useful information. Respondents should not only collect the necessary data, but also ensure their accuracy. The work is based on the theories of innovation, technical and economic paradigm. References are given to the literature of relevant scientists in terms of IT capabilities, organizational culture, leadership issues, digital customer orientation, data analysis and decision-making, and digital transformation strategies. The article is prepared in accordance with the cognitive habits of Chinese manufacturing enterprises.

Can digital transformation in manufacturing enterprises mitigate financial distress?

ABSTRACTPurpose – The purpose of this paper is to help manufacturing enterprises seize the opportunities presented by the digital economy, enhance production efficiency and value creation capacity, and promote sustainable and high-quality development of China’s manufacturing industry. Design/methodology/approach – This study employs a sample of Chinese A-share listed manufacturing companies from 2016 to 2020, using text analysis to construct measurement indicators for digital transformation and examining the impact of digital transformation on financial distress. Findings – The findings indicate that digital transformation in manufacturing enterprises helps alleviate financial distress. Heterogeneity analysis suggests that state-owned enterprises, large-scale enterprises, and those located in economically developed regions experience more significant alleviation of financial distress through digital transformation. Moreover, the moderating effects reveal that corporate governance level and financing constraints, representing the comprehensive capabilities of internal operational costs, management efficiency, and structure, and the comprehensive strength of external financing resources, respectively, can help enterprises maximise the alleviating effect of digital transformation on financial distress. Originality/value – Based on Chinese manufacturing enterprise samples, this paper empirically tests manufacturing enterprises are essential components of the national economy. Promoting digital transformation in manufacturing enterprises is the best choice for integrating the real economy with the digital economy.

Big-data analytics capability, value creation process, and collaboration innovation quality in manufacturing enterprises: A knowledge-based view

Big-data analytics capability (BDAC) is crucial for the value creation process and collaboration innovation of manufacturing enterprises. Based on the knowledge-based view, this study aims to explore the relationship between BDAC, the value creation process (collaboration breadth and collaboration depth), and collaboration innovation quality while considering the contingency of technology risk. On the basis of 2,366 firm-year observations in 896 Chinese manufacturing enterprises between 2015 and 2022, the empirical results indicate that BDAC positively affects collaboration breadth and collaboration depth. Additionally, both collaboration breadth and collaboration depth mediate the relationship between BDAC and collaboration innovation quality, and technology risk weakens the positive effect of BDAC on collaboration depth. Our findings contribute to literatures on BDAC, technology risk and collaborative innovation by introducing knowledge-based view into collaborative innovation, and provide managerial implications for manufacturing enterprises and government policy-making.

Research on Intelligent Finance Construction of Manufacturing Enterprises under Digital Transformation

At present, China's economic development has entered a new normal. In order to adapt to the rapid development of the times and improve the competitiveness of China's manufacturing industry, Chinese manufacturing enterprises have begun digital transformation and upgrading. The development and application of intelligent technology have had a profound impact on the manufacturing industry, and intelligent manufacturing has entered a new stage of development. At present, many industries are at a critical juncture in digital transformation, with an increasing reliance on intelligent technology, which highlights the importance of establishing intelligent finance. If manufacturing enterprises want to truly complete digital transformation, they must make the construction of smart finance a new driving force. Based on the current background of digital transformation, financial management in the manufacturing industry needs to be innovated and optimized, and an intelligent financial model should be established. By actively applying technologies such as big data and cloud computing to the enterprise, the integration of business and finance can be enhanced, and the financial and commercial data of the enterprise can be deeply excavated to help the enterprise make business and management decisions and improve its risk control capabilities. Based on the background of intelligent finance construction, this article provides a specific discussion on the relevant issues of intelligent finance construction in manufacturing industry. Starting from the problems faced by intelligent finance construction in manufacturing enterprises, it briefly explains the background of digital transformation and the concept of intelligent finance. Secondly, it analyzes the important role of intelligent finance construction in manufacturing enterprises, and finally proposes countermeasures to promote the construction of intelligent finance in manufacturing enterprises.

TMT's cognitive frame and breakthrough innovation

PurposeThis paper aims to reveal how different types of events and top management teams' (TMTs’) cognitive frames affect the generation of breakthrough innovations.Design/methodology/approachDrawing on the event system theory and upper echelon theory, this study chose a Chinese manufacturing enterprise as the case firm and conducted an exploratory single-case study to unpack how breakthrough innovation generates over time.FindingsBy conducting the in-depth case analysis, the study revealed that firms do not produce breakthrough innovation in the catch-up stage and parallel-running stage but achieve it in the leading stage. It also indicated that when facing proactive events in the catch-up stage, TMTs often adopt a contracted lens, being manifested as consistency orientation, less elastic organizational identity and narrower competitive boundaries. In addition, they tend to adopt a contracted lens when facing reactive and proactive events in the parallel-running stage. In the face of reactive and proactive events in the leading stage, they are more inclined to adopt an expanded lens, being manifested as a coexistence orientation, more elastic organizational identity and wider competitive boundaries.Originality/valueFirst, by untangling how TMT's cognitive frame functions in breakthrough innovations, this paper provides a micro-foundation for producing breakthrough innovations and deepens the understanding of upper echelon theory by considering the cognitive dimension of TMTs. Second, by teasing out several typical events experienced by the firm, this paper is the first attempt to reveal how events affect the generation of breakthrough innovation. Third, the work extends the application of the event system theory in technological innovation. It also provides insightful implications for promoting breakthrough innovations by considering the role of proactive and reactive events a firm experiences and TMT's perceptions.

Digitalization of business models, knowledge management and green technology innovation of Chinese manufacturing enterprises: a mixed analysis based on the Haier COSMOPlat ecosystem

ABSTRACT Under the wave of global digital development, deepening the digital application in the production process of traditional manufacturing enterprises and promoting the digitalization, networking, intelligence and ecological upgrading of business models of manufacturing enterprises have become an important starting point for countries to promote the ‘green sustainable development’ strategy. However, the mechanism of the digitalization of business models of traditional manufacturing enterprises on green technology innovation remains under-studied. In view of this, based on the Haier COSMOPlat business ecosystem, this paper adopts a mixed analysis method of case study and empirical research to study the digitalization of business models and green technology innovation in manufacturing enterprises. The results show that the digitalization of business models has a significant positive impact on the green technology innovation of manufacturing enterprises. In addition, knowledge-sharing level and knowledge-integration capability play a mediating role between the digitalization of business models and green innovation, of which the role of knowledge-integration capability is more obvious. This research conclusion has important theoretical value and practical guiding significance for traditional manufacturing enterprises to realize green technology innovation and sustainable development through the digitalization of business models.

Do cleaner production standards upgrade the global value chain position of manufacturing enterprises? Empirical evidence from China

The harmonious development of trade and environment is extremely crucial for developing countries that face challenges posed by extensive economic models and environmental pollution as they strive to engage more deeply in the global economy. This article utilizes micro-level data from the Chinese Industrial Enterprises Database (CIED) and the Chinese Customs Trade Database (CCTD) from 2000 to 2012. It takes China's implementation of cleaner production standards (CPS) since 2003 as a quasi-natural experiment and applies staggered DID to investigate the impact and mechanisms of exogenous shocks from environmental policies on upgrading and transformation of enterprise value chains. The aim is to provide comprehensive empirical evidence regarding the availability of environmental regulations and the GVC position of Chinese enterprises. Thus, we also offer valuable insights for similar developing countries seeking a path toward high-quality advancement. The research findings are as follows. First, CPS exerts a significant upgrading effect on enterprise value chains, and this conclusion is highly robust. Second, heterogeneity analysis reveals that the upgrading effect of CPS on value chains is predominantly influenced by factors including the enterprise's asset scale, ownership structure, geographical location, trade pattern, as well as the technological level and pollution intensity within its specific industry. Third, further tests through mechanism analysis reveal that CPS expedited the integration of Chinese manufacturing enterprises in GVC by promoting innovation and R&D capabilities, enhancing total factor productivity, and improving labor wages.

THE POLICY EFFECT OF CARBON EMISSIONS TRADING ON GREEN TECHNOLOGY INNOVATION — EVIDENCE FROM MANUFACTURING ENTERPRISES IN CHINA

Based on the panel data of listed Chinese manufacturing enterprises from 2007 to 2019, this study uses the difference-in-differences-based propensity score matching method (PSM-DID) to explore the policy effect of carbon emissions trading on green technology innovation in manufacturing from the perspective of independent innovation of enterprises. The conclusions of this study show that: (1) Carbon emissions trading has significantly improved the level of green technology innovation of manufacturing enterprises; (2) the policy effect of carbon emissions trading on the green patent application is more than twice as much as on green utility model patent application. Compared with green utility model patent, the pilot policy of carbon emissions trading has a more significant and greater policy effect on the green invention patent application; (3) the private enterprises are more sensitive to the pilot policy of carbon emissions trading than state-owned enterprises (SOEs). The carbon emissions trading in China effectively promotes low-carbon and green development of enterprises.

Research on the Digital Transformation Business Model of the Automobile Manufacturing Industry

With the implementation of Internet Plus and Made in China 2025 plans, Chinas digital technology has developed rapidly, and the transformation to a digital direction is imminent for Chinas manufacturing industry. In response to the national strategic deployment, many automobile enterprises have begun to carry out digital transformation. This article selects three representative Chinese automobile manufacturing enterprises and studies their business models through case analysis. This paper summarizes automobile enterprises' digital transformation business model from six aspects: product production, user service, marketing methods, and business processes. This paper has promoted the theoretical development of the digital transformation of the manufacturing industry, especially the automobile manufacturing industry. At the same time, it provides practical business model suggestions for the digital transformation of Chinese automobile manufacturing enterprises.

Configurational paths to the green transformation of Chinese manufacturing enterprises: a TOE framework based on the fsQCA and NCA approaches

In the current complex and ever-changing environment, the high-quality development of manufacturing enterprises has a long way to go. The theoretical framework based on technology, the organization and the environment (TOE) from a configuration perspective provides a new integrated theoretical perspective for studying the green transformation path of Chinese manufacturing enterprises. The research purpose of this article is to use fuzzy set qualitative comparative analysis (fsQCA) and necessary condition analysis (NCA) to explore the configuration effects of various antecedents in the TOE theoretical framework of Chinese manufacturing enterprises, “technology (green technological innovation, digital transformation)-the organization (redundant resources, supply chain concentration, information transparency)-the environment (environmental governance pressure)”, to achieve a green transformation. The research findings show that no single factor is a necessary condition for achieving a high level of green transformation. There are six ways to achieve high green transformation levels for manufacturing enterprises, namely, technology-information collaborative green transformation, technology-supply chain collaborative-driven green transformation, digital-organization collaborative-driven green transformation, innovation-organization collaborative-driven green transformation, organization-environment collaborative-driven green transformation, and full-level multifactor collaborative-driven green transformation. The research conclusion will further expand research on the green transformation of enterprises and provide useful and practical references for green transformation paths of enterprises.

Effect of green value capture on the manufacturing firm performance considering green dynamic capabilities and profitability models.

Ensuring and improving the green value acquisition of manufacturing enterprises is one of the critical issues to be solved for manufacturing enterprises to achieve green value and high-quality development. Based on the theory of enterprise value acquisition and dynamic capability theory, we explain the "black box" of the relationship between green value creation and enterprise performance of manufacturing enterprises. The logical thread of "green value creation-profit model-enterprise performance" is constructed, and a green value acquisition mechanism model is proposed. Based on 263 questionnaires from Chinese manufacturing enterprises, the model is empirically tested using multiple regression analysis. The results show that green value creation has a positive impact on corporate performance, while the profit model plays a mediating role between green value creation and corporate performance. Green dynamic capability plays a positive moderating role between green value creation and corporate performance, while green active ability plays a positive moderating role between value creation and profit model.

Creating a greener future: the crucial role of green innovation and supply chain management in corporate sustainability.

One of the most pressing concerns today is how to improve green innovation and supply chain management for company sustainability. It has been discovered that inefficient supply chain management is a major barrier limiting eco-friendly innovation. The supply chain management process is crucial to a company's long-term viability, yet previous research barely scratched the surface of its significance. This article uses a resource-based view to investigate how integrating green innovation and organizational agility into the supply chain management process contributes to the long-term success of businesses. This study used a cross-sectional approach. Structured equation modeling was used to examine data collected through convenience sampling from 475 employees of Chinese multinational manufacturing enterprises. Green innovation helps smooth over the bumps on the road between supply chain management and sustainable business results. Green innovation and business sustainable performance also benefit from organizational agility, which was not shown to moderate this relationship. The study teaches that in today's knowledge-based economy, firms that invest in novel technologies and adopt greener strategies are better able to address sensitive issues like supply chain management and organizational agility and achieve long-term success. This research aims to provide light on the complex interconnections between supply chain management, green innovation, and the sustainable performance of businesses. The theoretical framework for the present research was validated by the occurrence of a positive association between these variables.

Examining the Effect of Stakeholder Pressures on Safety Risk Adoption: Evidence from Chinese Manufacturing Enterprises

This study investigates the connection between stakeholders and organizational dedication in promoting safety risk practices within large-scale manufacturing enterprises of Chinese origin operating in Ethiopia. Given the complex relationship among evaluation tools, metrics, and stakeholder influence in assessing safety risk practices, a deeper exploration of this relationship becomes vital. The research aims to determine the impact of stakeholder pressure on safety risk practices in the Ethiopian-Chinese manufacturing sector, emphasizing the mediating role of organizational commitment. Provide work for a quantitative research approach, the study focuses on five prominent industrial manufacturing enterprises and employs purposive sampling to select 259 participants. The data analysis employs statistical techniques such as structural equation modeling, growth paths, and correlation matrix using the Smart Pls v. four software suite. The study successfully establishes a causal link between stakeholder pressure and safety risk practices, underscoring the significant influence of stakeholder pressures on managing safety risks. Moreover, organizational commitment emerges as a crucial mediator in this relationship. The findings emphasize the need for policymakers and practitioners in Chinese large-scale manufacturing enterprises in Ethiopia to prioritize enhancing safety practices, leading to improved safety performance and overall safety. This research contributes by addressing the limited understanding of the mediating role of organizational commitment in the framework of stakeholder pressure, safety risk practices, and it supports stakeholder theory. Additionally, it fills the gap in research on safety practices and decision-making in developing nations, specifically focusing on the Ethiopian-Chinese manufacturing sector.

All roads lead to Rome? The impact of heterogeneous green finance on carbon reduction of Chinese manufacturing enterprises.

Based on the system theory and Pareto efficiency theory, this paper, based on the data of listed companies in China's A-share manufacturing industry in 2011-2022, explores the impact of market-driven green finance and government-guided green finance on the carbon emission intensity of manufacturing enterprises, and analyzes the intermediary role of debt financing cost. A negative "U" relationship exists in market-driven green finance/government-guided green finance and the carbon emission intensity of manufacturing enterprises. Further research shows that under the higher debt financing cost, market-driven green finance played a weaker carbon reduction effect. The heterogeneity analysis found that market-driven green finance can have a significant non-linear impact of "promoting growth first and weakening later" on the carbon emissions of energy-saving and environmental protection enterprises, large enterprises, and enterprises with high human capital levels. Government-guided green finance has a significant non-linear impact on non-energy-saving and environmental protection enterprises and small enterprises. This paper provides the theoretical basis and practical inspiration for the government to formulate relevant low-carbon development policies and promote the innovation of green financial tools in the financial market.

Has the R&D Extra Deduction Policy Stimulated the R&D Efficiency of Enterprises? --An Empirical Study based on Listed Chinese Manufacturing Enterprises

Has the R&D Extra Deduction Policy Stimulated the R&D Efficiency of Enterprises? --An Empirical Study based on Listed Chinese Manufacturing Enterprises

The impact of digital inputs on pollution reduction in Chinese manufacturing enterprises

Facilitating pollution reduction in manufacturing enterprises is crucial for implementing the new development concept and achieving sustainable, environmentally friendly growth. This research delves into the influence of digital inputs on pollution emission reduction in Chinese manufacturing enterprises. The study utilizes a combination of the World Input-Output Database, the Chinese Industrial Enterprises Database, and the Chinese Industrial Enterprises Pollution Emission Database covering the period from 2000 to 2012. The findings reveal that digital inputs make a significant contribution to pollution reduction in Chinese manufacturing enterprises. Specifically, digital software inputs and foreign digital factor inputs display more pronounced effects on pollution reduction. The analysis of the mechanism reveals that the pollution reduction effects of digital inputs in manufacturing enterprises can be attributed to several effective mechanisms: the enhancement of energy efficiency, technological innovation, and servitization, as well as the crowding-out effect of pollution control investment. The former mechanisms demonstrate a promoting effect, while the latter exhibits an inhibiting effect. The impact of digital inputs on pollution reduction in manufacturing enterprises displays heterogeneity, with a more significant emission reduction effect observed in industries facing higher environmental regulatory intensity, digitization-unrelated industries, non-state-owned firms, and firms with higher levels of financing constraints. These findings offer empirical evidence and serve as a policy foundation for promoting digital transformation and achieving green economic development in China.

Line Balancing Studies in Chinese Manufacturing Enterprises

Production line balancing is a crucial concept in the manufacturing industry, which involves the rational allocation of work tasks and resources to improve production efficiency, reduce costs, and ensure product quality. This article will delve into the core concepts, methods, practical applications, and challenges of line balancing. We will also discuss the use cases of line balancing in different industries and look ahead to possible future trends. Finally, through comprehensive discussion, readers will be provided with a deeper understanding and inspiration.