Transformation Of Manufacturing Industry Research Articles

Research on the correlation between the degree of digitization of manufacturing process links and economic benefits

PurposeThis paper aims to provide a reference for the development of digital transformation from the perspective of manufacturing process links.Design/methodology/approachThis paper applies canonical correlation analysis based on digital technology patents in the key links of manufacturing industries (product design, procurement, product manufacturing, warehousing and transportation, and wholesale and retail) and the related indicators of economic benefits of regions in China.Findings(1) The degree of digitalization of manufacturing process links is significantly correlated with economic benefits. (2) The improvement of the degree of digitalization in the “product design” link, the “warehousing and transportation” link, the “product manufacturing” link and the “wholesale and retail” link has significant impacts on the economic benefits of manufacturing industry. (3) The digital degree of the “procurement” link has no obvious influence on the economic benefits of manufacturing industry.Practical implicationsThe research results can provide reference for the formulation and implementation of micro policies. The strategy of improving the level of digital transformation of key links of manufacturing industry is put forward to better promote both the digital transformation of manufacturing industry and economic development.Originality/valueThis paper innovatively studies the relationship between digitalization of manufacturing process links and economic benefits. The findings can provide theoretical and empirical support for the digital transformation of China's manufacturing industry and high-quality development of economy.

Study on the pilot emission right trading on the transformation and upgrading path selection of manufacturing enterprises

This paper takes A-share manufacturing listed companies from 2002 to 2020 as the research sample, proposes the service optimization effect of emissions trading on enterprises extending downstream and the innovation incentive effect of upward climb, and uses DID method to study the impact of emissions policy on the choice of manufacturing industry transformation and upgrading path. Through empirical studies, it was found that the emissions trading policy improves the embedded service level of manufacturing enterprises, strips off the blended services; however, it fails to significantly improve the green innovation level of manufacturing enterprises, and its innovation incentive effect fails to appear.The findings provide a theoretical basis for improving the emission right allocation mechanism, establishing a sound environmental regulatory system, and promoting the development of the economy in the direction of green and sustainable development.

Enhancing strategy for Industry 4.0 implementation through maturity models and standard reference architectures alignment

PurposeA maturity model for Industry 4.0 (I4.0 MM) with influencing factors is designed to address maturity issues in adopting Industry 4.0. Standardisation in I4.0 supports manufacturing industry transformation, forming reference architecture models (RAMs). This paper aligns key factors and maturity levels in I4.0 MMs with reputable I4.0 RAMs to enhance strategy for I4.0 transformation and implementation.Design/methodology/approachThree steps of alignment consist of the systematic literature review (SLR) method to study the current published high-quality I4.0 MMs, the taxonomy development of I4.0 influencing factors by adapting and implementing the categorisation of system theories and aligning I4.0 MMs with RAMs.FindingsThe study discovered that different I4.0 MMs lead to varied organisational interpretations. Challenges and insights arise when aligning I4.0 MMs with RAMs. Aligning MM levels with RAM stages is a crucial milestone in the journey toward I4.0 transformation. Evidence indicates that I4.0 MMs and RAMs often overlook the cultural domain.Research limitations/implicationsFindings contribute to the literature on aligning capabilities with implementation strategies while employing I4.0 MMs and RAMs. We use five RAMs (RAMI4.0, NIST-SME, IMSA, IVRA and IIRA), and as a common limitation in SLR, there could be a subjective bias in reading and selecting literature.Practical implicationsTo fully leverage the capabilities of RAMs as part of the I4.0 implementation strategy, companies should initiate the process by undertaking a thorough needs assessment using I4.0 MMs.Originality/valueThe novelty of this paper lies in being the first to examine the alignment of I4.0 MMs with established RAMs. It offers valuable insights for improving I4.0 implementation strategies, especially for companies using both MMs and RAMs in their transformation efforts.

The coupling and coordination of digital economy and manufacturing transformation and upgrading for industry 5.0 in Hebei Province

In the context of the widespread application of digital technologies such as the Internet, big data, artificial intelligence, and cloud computing, digital transformation in the manufacturing sector has become an important engine to promote high-quality economic development in Hebei Province. This paper aims to objectively analyze the current situation of industrial integration between the Beijing-Tianjin-Hebei digital economy and the manufacturing industry and conduct level measurement so as to promote the in-depth integration and development of the digital economy and manufacturing industry in Hebei Province, so that the manufacturing enterprises in Hebei Province can rebuild their competitive advantages in future development, finally realize digital transformation, and promote the high-quality development of the manufacturing industry in Hebei Province. Therefore, it is very important to carry out empirical research on the integrated development of the digital economy and manufacturing industry in Hebei Province. First of all, this paper constructs the index evaluation system of the digital economy and manufacturing industry, respectively, takes the relevant data of the Beijing-Tianjin-Hebei region in the past five years as data samples, uses the entropy weight-TOPSIS method to measure the level of digital economy development and manufacturing industry transformation, and uses the coupling coordination degree model to measure the level of industrial integration of the two. The final results show that: (1) The development level of the digital economy in Hebei Province fluctuates greatly, and there is still a certain gap with Beijing and Tianjin, but the future development potential of the digital economy is huge. (2) The transformation level of manufacturing industry in Hebei Province shows a trend of fluctuation and rise on the whole, and the development trend is good, and the gap between Hebei Province and developed regions is gradually narrowing. (3) The integration of the digital economy and manufacturing industry in Hebei Province has a good development trend, but there is still a certain gap with Beijing and Tianjin, and there are problems of inadequate, unstable, and unbalanced industrial integration. Finally, based on the research conclusions, suggestions are put forward to promote the coordinated development of the Beijing-Tianjin-Hebei region, improve the level of digital economy and manufacturing integration of industrial convergence development, raise the level of digital infrastructure construction, and raise the level of science and technology innovation. This paper reveals the mechanism of the digital economy affecting the high-quality development of the manufacturing industry, studies the whole process of digitalization, information technology, and intelligence integration into the development of the manufacturing industry, and fully releases the positive effect of the digital economy driving the high-quality development of the manufacturing industry, which has important theoretical and practical significance for promoting the high-quality development of the manufacturing industry and formulating relevant industrial policies.

The coupling and coordination of digital economy and manufacturing transformation and upgrading for industry 5.0 in Hebei Province

In the context of the widespread application of digital technologies such as the Internet, big data, artificial intelligence, and cloud computing, digital transformation in the manufacturing sector has become an important engine to promote high-quality economic development in Hebei Province. This paper aims to objectively analyze the current situation of industrial integration between the Beijing-Tianjin-Hebei digital economy and the manufacturing industry, and conduct level measurement, so as to promote the in-depth integration and development of the digital economy and manufacturing industry in Hebei Province, so that the manufacturing enterprises in Hebei Province can rebuild their competitive advantages in the future development, finally realize digital transformation, and promote the high-quality development of the manufacturing industry in Hebei Province. Therefore, it is very important to carry out empirical research on the integrated development of digital economy and manufacturing industry in Hebei Province. First of all, this paper constructs the index evaluation system of digital economy and manufacturing industry respectively, takes the relevant data of Beijing-Tianjin-Hebei region in recent five years as data samples, uses entropy weight-TOPSIS method to measure the level of digital economy development and manufacturing industry transformation, and uses the coupling coordination degree model to measure the level of industrial integration of the two. The final results show that: (1) The development level of digital economy in Hebei Province fluctuates greatly, and there is still a certain gap with Beijing and Tianjin, but the future development potential of digital economy is huge. (2) The transformation level of manufacturing industry in Hebei Province shows a trend of fluctuation and rise on the whole, and the development trend is good, and the gap between Hebei Province and developed regions is gradually narrowing. (3) The integration of digital economy and manufacturing industry in Hebei Province has a good development trend, but there is still a certain gap with Beijing and Tianjin, and there are problems of inadequate, unstable and unbalanced industrial integration. Finally, based on the research conclusions, suggestions are put forward to promote the coordinated development of Beijing-Tianjin-Hebei region, improve the level of digital economy and manufacturing integration of industrial convergence development, raise the level of digital infrastructure construction, and raise the level of science and technology innovation. This paper reveals the mechanism of digital economy affecting the high-quality development of manufacturing industry, studies the whole process of digitalization, information technology and intelligence integration into the development of manufacturing industry, and fully releases the positive effect of digital economy driving the high-quality development of manufacturing industry, which has important theoretical and practical significance for promoting the high-quality development of manufacturing industry and formulating relevant industrial policies.

Service-oriented Transformation in Manufacturing and The Deepening of Corporate Value Chains

This paper examines the challenges and opportunities faced by China's manufacturing industry in the context of global value chain division and technological revolution. It explores the impact of manufacturing servitization on enterprise value chain advancement, aiming to address how this transformation affects climbing the enterprise value chain. Drawing on data from Chinese industrial enterprises between 2003 and 2013, this study employs micro-level empirical analysis using a two-way fixed effect regression model and 2SLS instrumental variable method to establish a causal relationship between manufacturing servitization and enterprise value chain advancement. The findings reveal that manufacturing servitization has a significant positive impact on climbing the enterprise value chain, particularly for technology-intensive, capital-intensive, and resource-intensive enterprises. By providing empirical evidence and policy implications for China's manufacturing industry transformation and upgrading efforts, this research enriches existing literature on both manufacturing servitization and value chain advancement.

The Path Towards Green Transformation in Hainan's Manufacturing Sector

Under the inevitable choice of China's "dual carbon" strategy and ecological civilization construction, Hainan Province's free trade port adheres to green development. The green transformation of manufactory in Hainan Province is also active. Green transformation is influenced by multiple factors and involves the entire manufacturing cycle. Thus, this article first sorted out the 31 major categories of manufacturing in Hainan, calculated the average energy consumption of manufacturing enterprises above a certain scale, and obtained the basic situation of manufacturing enterprises in Hainan Province. This article also uses literature review to analyze the specific path of green transformation in Hainan Province's manufacturing industry from three aspects: government policies, industrial structure, and energy consumption. The research results found that there is a clear trend of green transformation in the manufacturing industry in Hainan Province. This article suggests that Hainan Province should expand the positive impact of policies such as free trade ports, promote digital and intelligent development, and continuously adjust industrial institutions.

Antecedent configuration pathways for manufacturing-enterprise digital servitization: Based on a technology-organization-environment theoretical framework.

The expeditious advancement and elevation of the manufacturing industry's transformation and upgrading represent pivotal strides for China in its ascent toward the upper echelons of the global manufacturing value chain. Currently, China's manufacturing-industry transformation faces the dual-lag quandary of digitalization and servitization. The notion of digital servitization elucidates the interdependent relationship between digitalization and servitization, unveiling the mechanisms underlying the formation of digital servitization. This holds significant implications for advancing the comprehension of digitalization and servitization and, crucially, facilitates the acceleration of China's manufacturing sector transitioning from production-centric to service-centric paradigms. Harnessing the technology-organization-environment (TOE) theoretical framework, we constructed a model elucidating the driving factors underpinning manufacturing digital servitization. By employing the fuzzy-set qualitative comparative analysis (fsQCA), we explored strategic decisions and path dependencies in the transformation of manufacturing digital servitization, offering valuable insights to foster China's manufacturing sector in its digital-servitization journey. The following findings were obtained. (1) A singular condition was insufficient as a prerequisite for manufacturing digital servitization and necessitated the coordinated alignment of multiple variables. (2) Three pathways existed for achieving manufacturing digital servitization: TOE, organization-environment collaborative-oriented, and technology-organization collaborative-oriented. (3) The progression of manufacturing digital servitization resulted from the collective impact of numerous factors, exhibiting a characteristic of different paths leading to the same destination. Various manufacturing enterprises pursued distinct trajectories to achieve digital servitization, contingent upon their unique circumstances. These findings have the potential to provide valuable insights for effectively fostering manufacturing digital servitization.

Economic development of the Russian manufacturing industry under sanctions

The article presents a study to assess main indicators of efficiency of production process development in the manufacturing industry of the Russian Federation in recent years, related to the negative impact of the COVID-19 pandemic on industrial production and on manufacturing in general. The purpose of the study is to examine the level of manufacturing industrial production development in the Russian Federation under the conditions of sanctions. To achieve this goal, international and domestic experience of manufacturing industry economic development has been studied, which in general terms characterizes the level of competencies required for manufacturing industries effective development. A comparative assessment of such approaches has been carried out. The study used the summary and grouping methods, tabular and graphical methods of information presentation, dynamics analysis methods. The information base of the study was microdata of sample surveys of the Federal State Statistics Service. The indicators have been presented in annual periodicity for 2016–2022 for Russia. As a result of studying economic development of manufacturing industry types, their pros and cons have been established. On the basis of statistical data and sample surveys for 2022, their systematization and evaluation have been carried out. The changes that occurred in main economic indicators characterizing the manufacturing industry sphere development have been studied. The study pays attention to the indicators characterizing industry development in Russia. The article concludes that in the future it will be necessary to continue the manufacturing industry transformation on an innovative basis.

Micro-perspective of listed companies in China: Digital development promotes the green transformation of the manufacturing industry.

In the context of the rapid development of the global digital economy, it is of great significance to explore the greening transformation of the manufacturing industry from the micro-perspective of enterprise digital development. This paper empirically examines the impact and mechanism of enterprise digital development on the greening transformation of the manufacturing industry using the 2010-2020 data of Chinese A-share listed companies in the manufacturing industry as a sample. The study shows that enterprise digital development can significantly promote the greening transformation of China's manufacturing industry, and this conclusion still holds after a series of robustness tests. Technological innovation and financing constraints are important mediating mechanisms. Further research found that the impact of enterprise digital development on the greening transformation of China's manufacturing industry has a positive nonlinear effect, and its marginal effect shows a weakening trend. Heterogeneity analysis shows that, from the perspective of micro characteristics, digital development is more able to promote the green transformation of state-owned and large enterprises. From a macro-regional perspective, digital development can better promote the green transformation of the manufacturing industry in eastern cities, key city clusters, and high-level cities. The findings of this paper can provide corresponding insights for "revitalizing the manufacturing industry", and also provide decision-making references for countries aiming to make the manufacturing industry bigger and stronger.

Impact of the Digital Economy on the Green Transformation of China's Manufacturing Industry

Based on the panel data of 29 provinces and cities in China from 2013 to 2020, the mediating effect model and the moderating effect model are used to empirically analyze the transmission role of technological innovation and industrial structure optimization in the digital economy influencing the green transformation of manufacturing industry, and the moderating role of environmental regulation in the digital economy promoting the green transformation of the manufacturing industry. The results of the empirical study show that the digital economy promotes the green transformation of the manufacturing industry through technological innovation and industrial structure optimization. On the other hand, the intensity of environmental regulation has a significant negative moderating effect on the green transformation of the manufacturing industry promoted by the digital economy.

Analysis of the influence of entrepreneurial psychology on the index system of digital development of the equipment manufacturing industry.

Entrepreneurs face the high pressure of the environment and may encounter psychological barriers such as entrepreneurial burnout. In order to maintain the growth of enterprises, entrepreneurs need to have toughness and perseverance to adapt to changes in the environment, overcome the negative effects of failure and crisis, and make progress in the crisis. The digital transformation of traditional manufacturing industry is an important way for the integration and development of digital economy and real economy. As the information support system of enterprise strategic psychology, strategic management accounting will also develop to a higher level with the digital transformation of enterprises. By reshaping an efficient spiritual organization, building an integrated innovation platform, and building an intelligent information architecture based on the concept of predictive finance, strategic management accounting will achieve important goals in the context of digital transformation. And give full play to the intellectual support role of its strategic psychology. The change of entrepreneurial psychology is crucial to the success of digital transformation of manufacturing industry. At present, the digital exploration of entrepreneurs' psychological influence has made some preliminary achievements in technology and management, but according to the analysis in this paper, there is still much room for digital transformation.

Industrial Innovation on the Green Transformation of Manufacturing Commerce

The manufacturing industry is the foundation and pillar of the national economy. With the background of China’s economic development entering a new era and fully implementing the innovation-driven development strategy, the manufacturing sector’s level of green transformation has been realized as one of the critical indicators of China’s economic development. Technology innovation-driven green manufacturing industry transformation is a crucial strategy to achieve high-quality economic development and boost global competitiveness in the context of a new round of technological revolution and industrial reform closely entwined with China's economic transformation and development. Based on this, we take the green transformation of China’s manufacturing industry as the theme, focus on industries, regions, and strategic industries, and explore the impact and spatial linkage effect of technological innovation on the green transformation of the manufacturing industry. Based on the research perspective of manufacturing industry development heterogeneity, we construct the slack based measure - Undesirable-Malmquist-Tobit comprehensive evaluation method and put forward the driving role and impact of technological innovation on the green transformation of the manufacturing industry. The manufacturing industry is categorized into three categories based on the level of pollution, such as clean industry, medium pollution industry and heavy pollution industry. It is found that the green development efficiency of the clean manufacturing industry is the highest, followed by the heavy pollution industry, and the efficiency of the medium pollution industry is the lowest.

Factors Affecting the Manufacturing Industry Transformation and Upgrading: A Case Study of Guangdong-Hong Kong-Macao Greater Bay Area.

This study aims to analyze the development trend of the manufacturing industry transformation and upgrading in the Guangdong–Hong Kong–Macao Greater Bay Area (2008–2018). On the basis of synergetics, the order parameter method of factor analysis is used to study these factors. The results show that: (1) There are five slow variable factors, such as intelligent manufacturing industry, technological innovation, scale agglomeration, market demand, and fixed asset investment, which are important power sources of the transformation and upgrading of the manufacturing industry in Greater Bay Area. The development of these factors is relatively mature, and they cooperate with each other. (2) Similar to a fast variable of manufacturing development ecology, green development is an important coordinating factor in removing bottlenecks. Finally, suggestions for the development of the transformation and upgrading of the manufacturing industry are put forward.

Research on the Strategy of Service Transformation of Manufacturing Industry in Jiaxing

This paper, firstly, states the concept of service-oriented manufacturing, then analyzes the current situation and existing problems of the service transformation of Jiaxing's manufacturing industry, and points out five directions for the service transformation of Jiaxing's manufacturing industry. Finally, some suggestions are put forward for the implementation guarantee of transformation from manufacturing industry to service industry.

St. Petersburg industrial policy: Determining the factors of structural changes in industry through Shift-Share Analysis

Subject. This article examines the theoretical and practical aspects of the implementation of industrial policy and the structural transformation of the manufacturing industry in St. Petersburg. Objectives. The article aims to justify the priority of the industry-based approach to industrial policy in St. Petersburg and determine its effectiveness by highlighting the factors of structural transformation of the city's manufacturing industry using the Shift-Share Analysis method. Methods. For the study, I used logical, statistical, and factor analyses. Results. Based on shift-share analysis, the study highlights positive results of industrial policy in the development of certain industries in St. Petersburg, as well as those industries that require further development of urban industrial policy. Conclusions. Despite the fact that the industry of St. Petersburg as a whole has become more stable, problems in the development of mechanical engineering and production of computers, electronic and optical products have not yet been solved.

Environmental Regulation, Trade Comparative Advantage, and the Manufacturing Industry's Green Transformation and Upgrading.

This paper is the first to systematically review the theoretical mechanisms of environmental regulation and trade comparative advantage that affect the green transformation and upgrading of the manufacturing industry. On this basis, corresponding hypotheses are put forward. The non-radial and non-angle SBM (slacks-based measure) efficiency measurement model with undesirable outputs was used, combined with the use of the ML (green total factor productivity index) productivity index to measure green total factor productivity. Finally, the theoretical hypothesis was empirically tested using data from 27 manufacturing industries in China from 2005 to 2017. The results show the following: (1) There is a significant inverted U-shaped curve relationship between environmental regulation and the transformation of the manufacturing industry. In other words, as environmental regulation increases, its impact on the transformation and upgrading of the manufacturing industry is first promoted and then suppressed. (2) When there are no environmental regulations, the trade comparative advantage of the manufacturing industry is not conducive to industrial transformation. However, under the constraints of environmental regulations, the comparative advantage of trade will significantly promote the green transformation and upgrading of manufacturing. Therefore, in order to effectively promote transformation and upgrading of the manufacturing, this paper proposes the following policy recommendations: (1) The Chinese government should pay more attention to the impact of environmental regulation intensity on the transformation of manufacturing industries, further increase the intensity of environmental regulation within the reasonable range, and fully exert the positive effects of environmental regulation on the trade patterns and manufacturing industry transformation. (2) We should further optimize the structure of trade, realize the diversification of manufacturing import and export, and promote its transformation into high-end manufacturing. On this basis, green production technology in the manufacturing industry can be improved through the technology spillover effect. (3) Efforts should be made to improve the level of collaborative development between environmental regulation and trade patterns and to explore the transformation path of the manufacturing industry with the integration of environmental regulation and trade patterns.

Manufacturing Industry Transformation, External Dependence and Innovation

China’s manufacturing industry is facing challenges because of digital revolution of global manufacturing industry and imbalance of payments. China’s manufacturing imbalances are reflected in the balance of payments surplus. Double “external dependence” on export and foreign investment is the reason of its difficult transformation. The formation of this difficulty includes both policy factors and structural factors during the process of its participating in the division of global value chain. Solution to this problem lies in the changes of policy ideas, establishment of the policy environment for fair competition and encouragement in innovation.

The Equipment Manufacturing Industry Supply Side Reform and Innovation with E-Commerce Platform

E-commerce has become the emerging business model, has been widely accepted by the particularity of the manufacturing e-commerce still need to study. E-commerce innovation brings new opportunity to the development of manufacturing industry, to promote the traditional manufacturing industry upgrading and adjust the structure of manufacturing industry. Facing the rapid manufacturing industry transformation, fast development of electronic commerce, electronic commerce development policy to encourage such as background, manufacturing e-commerce development innovation is on the rise, electricity to the manufacturing enterprise organization flattening structure, digital design and production, enterprise competition mode, enterprise risk control have great influence and role. The results show that the electronic commerce enterprise product innovation affects the business performance; Market information to promote the electronic commerce enterprise product innovation, as a result of manufacturing electrical business development in China is facing the manufacturing quality problems, distribution channel conflict, lack of the inter-disciplinary talent, in this paper, speed up the development of manufacturing electric company, to promote research and development innovation, the implementation of flexible production, build brand advantage. Through theoretical analysis and empirical research, it is that a good way to promote the development of manufacturing.

The Evaluation Index System of Innovation-Driven Capability of Chinese Manufacturing Industry Based on Factor Analysis

In China’s new normal, a strategy named “Made in China 2025” was proposed to speed up the manufacturing’s transformation and upgrading. The hardship of China’s manufacturing industry transformation and upgrading are the limit capability of independent innovation, the complexity and variability for competitive environment and the existence of institutional hurdles. At present, China is facing the powers of the industry from manufacturing to major, The paper will use factor analysis method to construct the evaluation index system of innovation-driven ability of Chinese manufacturing industry, and established evaluation model of innovation-driven ability of Chinese manufacturing industry. Based on the analysis of the model, the paper will propose the innovation driving strategy to speed up manufacturing transformation and upgrading.