Manufacturing Industry In China Research Articles

Determinants of Financial Performance in China’s Intelligent Manufacturing Industry: Innovation and Liquidity

This study focuses on the mediation channels through which the financial performance of intelligent manufacturing industries closely related to the Fourth Industrial Revolution has been affected. Along with compiling a massive volume of datasets publicized by the Chinese government and other authoritative institutions, a survey of the 317 listed enterprises of the intelligent manufacturing industries in China has been established for statistical analysis. Using Structural Equation Modeling (SEM), this research tests six hypotheses and confirms the inter-factor impact relationship between exogenous and endogenous factors. We find that innovation efforts mainly led by increasing investment in Research & Development (R&D), along with high liquidity, surely lead to good financial performance, whereas innovation efforts alone do not. Government support policy has been found to be closely related not only to higher liquidity, but to good financial performance through the common channel of R&D investment. Regional innovation capability has been revealed to be related to R&D investments, and, furthermore, to liquidity, which shows that the regional innovation system in China has been functioning relatively well to induce enterprises to increase investments and secure higher liquidity, and finally contribute to achieving better business performance. However, regional economic development shows no relationship with R&D investments, and consequently neither with liquidity nor with performance.

Carbon emission reduction characteristics for China's manufacturing firms: Implications for formulating carbon policies

The rapid development of China's manufacturing industry since China's accession to WTO in 2001 has dramatically increased China's carbon emissions. To inform the carbon policy development of China's manufacturing industry, this study constructed a DEA-GS (data envelopment analysis and grid search) model from a cost perspective to understand the their emission reduction characteristics. Using a large sample of manufacturing firms from 2008 to 2011, the carbon pricing and reduction potential of China's manufacturing firms was explored by analyzing the firms' marginal abatement costs. The results showed that: (a) with increasing marginal abatement costs, the growth rates of both cumulative emission reduction activities and emission reduction of these firms gradually slowed down. When the marginal abatement cost exceeds 200 Yuan/ton, neither the number of reduction activities nor the amount of reduced emissions increase. (b) The impact of marginal abatement costs on the numbers of reduction activities and firms in each sub-sector is heterogeneous. (c) The emission reduction behaviors of manufacturting firms, determined by carbon pricing, are mostly concentrated in developed areas or around large cities. In contrast, areas with substantial emission reductions are more scattered. The results suggest that The emission reduction characteristics of sub-sectors should be fully considered when formulating carbon policies for China's manufacturing industry. The carbon price for the China's manufacturing industry should not exceed 200 Yuan/ton. Furthermore, the carbon policy of China's manufacturing industry should have broader coverage, rather than merely covering developed areas.

Nexus between IT capability and green intellectual capital on sustainable businesses: evidence from emerging economies.

This study aims to determine the moderating role of IT capability between green intellectual capital (GIC) and business sustainability in China's manufacturing sector. A quantitative analysis approach is applied to the primary data collected through a close-ended survey questionnaire from 1000 supply chain employees of China's manufacturing industry. Results revealed that the association and effect of GIC on the business sustainability of Chinese manufacturing companies were statistically significant, while the moderating role of IT capability between GIC and business sustainability was also found. Notably, all variables indicating GIC (i.e., green human capital (GHC), green structural capital (GSC), and green relationship capital (GRC)) affected business sustainability positively and significantly, whereas the moderation of IT capability was specific to GSC and GRC. Hence, it has been recommended to the Chinese manufacturing companies to integrate IT infrastructure in their firms to enhance business sustainability. However, this research was limited to the Chinese manufacturing sector and cannot be generalized to other sectors or countries.

Discussion on the Social Problems Caused by the Extensive Application of Artificial Intelligence Technology in China's Manufacturing Industry and its Countermeasures —A Case Study of Foshan Manufacturing Industry

In order to explore the social problems caused by the wide application of artificial intelligence technology in China's manufacturing industry, this paper takes Foshan manufacturing industry as an example, and from the actual development of Foshan manufacturing industry, focuses on the social problems caused by the wide application of artificial intelligence technology in China's manufacturing industry, including the intensification of social contradictions, the change of social structure, the hidden danger of social security, the development of the city and the change of population structure and the birth of the economic theory of artificial intelligence. On this basis, we put forward the countermeasures to deal with the social problems caused by the development of intelligent manufacturing in Foshan in the era of artificial intelligence. The research results show that in the era of artificial intelligence, the key to the transformation and upgrading of Foshan manufacturing industry is to correctly recognize the social problems in the development of Foshan manufacturing industry and offer forward-looking suggestions and countermeasures, which is of great significance for the development of China's intelligent manufacturing industry and the realization of 2025 plan.

The measurement and analysis of technological innovation diffusion in China's manufacturing industry

<abstract> <p>By constructing a technological innovation diffusion (TID) index system of the manufacturing industry with 15 indexes from four dimensions of diffusion source, diffusion path, diffusion receiver, and diffusion environment, this paper measures the TID in the manufacturing industry and analyzes its distribution characteristics from the perspective of industry and region from 2005 to 2018 by using the entropy weight method and the dynamic multi-indicator projection pursuit (PP-IPM) method. The results show that the TID in China's manufacturing industry has a good development trend in the sample period, and the diffusion resources and paths have a relatively greater impact on TID; the absorptive capacity of the receiver also has a significant impact, while the impact of the diffusion environment is relatively small. During the sample period, at the sector level, a pattern has formed in which transportation equipment manufacturing, electrical machinery and equipment manufacturing, and communication equipment, computer and electronic equipment manufacturing are the sources of diffusion, gradually spreading to other sectors according to the degree of industrial relevance. At the regional level, the diffusion pattern is that Guangdong, Jiangsu, Zhejiang, Shandong, Beijing, and Shanghai are the sources and diffuse to the surrounding and central and western regions successively.</p> </abstract>

A Study on Intelligent Manufacturing Industrial Internet for Injection Molding Industry Based on Digital Twin

As one of the basic manufacturing industries in China, injection molding industry is faced with the problems of low degree of informatization and intelligence, resulting in low production efficiency and high costs. It is urgent to integrate deeply with new generation of information technology to achieve transformation and upgrade. In this paper, an integrative industrial Internet architecture of “integration of intelligent equipment, intelligent production lines, intelligent workshops, intelligent factories, and intelligent formats” was described. The injection molding intelligent control system, the production management, control platform based on the MES system, and other key technologies were researched. Also, the smart factory architecture based on digital twin was established, and the implementation method of the smart factory digital twin system was elaborated. The feasibility and effectiveness of the method had been verified through the industrial application, which provided the technical supports for the injection molding industrial Internet system. Finally, the intelligent manufacturing industrial Internet cloud platform for injection molding industry was prospected.

Standards System Construction in Key Areas of Manufacturing Industry

As the international competitiveness of China’s manufacturing industry continues to improve, the manufacturing industry of China is developing toward a high-quality pattern that pursues quality and efficiency. Hence, constructing a standards system for the manufacturing industry becomes critical for upgrading and internationalizing China’s manufacturing industry as well as commercializing scientific research achievements of the industry. In this article, we summarize the development trends of the standards system for manufacturing, and study the construction of standards systems by focusing on four key areas: equipment manufacturing, new materials, new-generation information technology, and consumer goods; the frameworks, ideas, and key tasks of the standards systems for these areas are clarified. Furthermore, to promote the quality of China’s manufacturing industry, future focus should be laid on standards system research, standards application, standards management mechanism, and international standardization.

Research on the Upgrading Path of Regional Equipment Manufacturing Industry

Constructing the upgrading path of regional equipment manufacturing industry based on innovation network is of great significance for solving the transformation and upgrading problems of regional equipment manufacturing industry in China, further catching up with the development level of equipment manufacturing industry in developed countries, and alleviating the regional gap. Based on literature analysis and industrial upgrading theory, this paper puts forward the basic principles and general ideas of upgrading path design of regional equipment manufacturing industry, focusing on designing industrial upgrading path based on key common technologies, industrial upgrading path based on industrial chain optimization and industrial upgrading path based on innovation platform, and finally puts forward corresponding countermeasures and suggestions.

Development Status and Prospects of Microbial Manufacturing Industry in China

Development Status and Prospects of Microbial Manufacturing Industry in China

Dual-network embeddedness, absorptive capacity, and enterprise innovation performance: evidence from the Chinese hi-tech manufacturing industry

Embedded innovation represents a new innovation mode. However, the relationships among network embeddedness, absorptive capacity and enterprise innovation performance remain unclear. This paper develops a conceptual framework of value chain and knowledge chain embeddedness, absorptive capacity and enterprise innovation performance to reveal the mechanism of dual-network embeddedness in enterprise innovation performance from an absorptive capacity perspective. Structural equation modelling and survey data from the hi-tech manufacturing industry in China are used. The results reveal that: 1) both value chain embeddedness and knowledge chain embeddedness enhance enterprise innovation performance, but; 2) they promote enterprise innovation performance in different ways. Knowledge chain embeddedness promotes enterprise innovation performance through assimilation capacity, while value chain embeddedness promotes enterprise innovation performance through search and acquisition capacity. Suggestions are presented on how to enhance enterprise innovation performance from the network embeddedness and absorptive capacity perspectives.

Research On The Impact Of Producer Services Import On China's Manufacturing Industry's Climbing Global Value Chain

Intermediate investment in producer services is an effective way to promote the manufacturing industry to climb the global value chain. This paper uses the export added value data of OECD-TiVA database to calculate the export technical complexity of 17 types of manufacturing industries in China, so as to measure the position of various industries in the value chain, and empirically test the impact of producer services import on the promotion of the position of China's manufacturing value chain. The results show that producer services import has a significant positive impact on the promotion of China's manufacturing value chain, and the promotion effect has industry heterogeneity. In the labor-intensive manufacturing industry, the import of producer services plays the strongest role in promoting the rise of its value chain, followed by the capital intensive manufacturing industry.

An Empirical Study on the Cultivation Path of Craftsman Spirit for Higher Vocational College Students

With the advent of the Industry 4.0 era, China's manufacturing industry is facing the challenges of upgrading from "Made in China" to “Quality in China". Where there is a high quality product there is a high-skilled talent. Higher vocational colleges as the cradle of talent cultivation, should not only serve as a source of high-lever technology talents to support the country’s high-quality development, but also provide talents with craftsman spirit to encourage them to make high quality products. How to cultivate "craftsman spirit" is an important issue for higher vocational education in China. This article focuses on the study of the training path of "craftsman spirit" in higher vocational college so as to provide suggestions and strategies for training of the artisan spirit of higher vocational college students. Firstly, it elaborates the connotation and its main elements of the craftsman spirit for a better understanding of the concept. Then it analyzes some issues in cultivation of the craftsman spirit in higher vocational college and makes an empirical analysis on the key factors which influence the training effects of higher vocational college students’ craftsman spirit from the perspective of the enterprises, schools, governments, families and individuals. Thirdly, it discusses how to train the craftsman spirit of higher vocational college students as well as the responsibilities of each party who is involved such as teachers, parents, schools and society in the cultivation of craftsman spirit respectively. Finally, it explores the ways of the cultivation of the spirit of craftsman and vocational skills from the aspects of campus culture, school-enterprise cooperation, and teacher team construction and combines the procedure for training the craftsman spirit for vocational students.

Application Design of Quality Management of Assembly Workshop Process

China's manufacturing industry is developing rapidly. Quality management has become an important link in industrial production and operation activities. The level of workshop quality management has a profound impact on the improvement of production efficiency. The use of information technology to design the quality management application system of the assembly workshop process and solve the problems exposed in the quality management process is of great significance to improve the assembly efficiency of the workshop. In the previous workshop assembly process, offline information transmission was inefficient and error-prone. In response to this risk, this article develops a process quality management system for the assembly workshop, which enables the assembly work and quality management work in the workshop to work together. so that the information can be quickly transmitted and responded to. Therefore, this system guarantees high-quality and high-efficiency production of products. At the same time, a quality management model framework was built. And functions such as production line management, schedule efficiency analysis, quality inspection traceability were completed. It has realized the organic integration of efficient and coordinated operations of operators, quality management, planning and materials in the workshop assembly process. Based on this, the design of the quality management information system for the assembly workshop was completed, which provided strong support for the digital integration of the system, big data processing and intelligent manufacturing.

The Application of Digital Twin on Power Industry

Digital Twin (DT), integrating some current popular technologies, such as smart sensors, 5G communications, cloud platforms and big data analysis, is an integrated multidiscipline, multi-physical, multi-scale and multi-probability simulation process. To promote the accelerated development of China's manufacturing industry, it is needed to develop a smarter new generation of Smart Power System (SPS), and it is time for DT’s emergence. This system can comprehensively improve the intelligence of grid operation by using DT, which is driven by the data stream generated by the smart grid. Besides, it uses real-time situational awareness and uses real-time virtual deduction as cognitive means, and real-time feedback from virtual space to real space as an iterative method. Based on the applications of DT in the power industry, this article analyzes some applications in power system control, equipment fault prediction and diagnosis, and power online analysis from the demand for the core technologies of DT and DT of power system intelligence. Thus, the design framework, core technologies and implementation approaches of the Power System Digital Twin (PSDT) are presented. Finally, the challenges faced by the applications of DT in the power industry are analyzed, and the future trend of the power of DT is summarized.

Technology Spillover Effect of FDI on Manufacturing Industry: Empirical Study from the Perspective of Industry Heterogeneity

In the past 40 years, China has been continuously reforming and opening up. At the same time, foreign direct investment (FDI) has become an accelerator for China's economic growth. A two-sector model has been constructed on the basis of the C-D production function, and the panel data of 24 sub-sectors of China's manufacturing industry from 2000 - 2017 has been used for empirical testing. The results showed that FDI has significant technology spillover effects on China’s manufacturing industry. Even if three groups which are labor-intensive, capital-intensive and technology-intensive have been tested separately, the technology spillover effects of FDI are still significant. However, there are significant differences in the coefficient values. After further testing, there are influences on the technology spillover effect which comes from the intensity of domestic R&D expenditure and the proportion of FDI, and the latter is more obvious.

Intergenerational Transmission of Occupation: A Qualitative Inquiry into Frontline Factory Workers in China

The intergenerational transmission of an occupation between two generations of frontline workers in Chinese factories shows a copy–paste phenomenon, whereby a new generation of workers not only undertakes the same work as their parents but also remains at the same level of technical ability. This phenomenon runs contrary to the literature on the intergenerational transmission of occupations and is unsuitable for China’s national conditions. More importantly, it restricts the sustainable development of the manufacturing industry in China. This study used a grounded theory approach to interview 30 workers to identify and analyze the factors and influences that created this new generation. The results show that the workers’ drawing of comparisons between and within generations not only limits their technical skills but also affects subsequent generations of workers through the intergenerational transmission of occupation. We draw on our findings to discuss the reasons for and impacts of these comparisons and make suggestions for future research.

Forecasting manufacturing industrial natural gas consumption of China using a novel time-delayed fractional grey model with multiple fractional order

Improving the proportion of natural gas consumption of the manufacturing industry would make significant contributions to the low-carbon and sustainable development of China, which is one of the largest manufacturers in the world. However, it is very difficult to catch the trend of natural gas consumption of the concerning manufacturing industry as not enough trustable data can be collected. To fill this gap, a novel time-delayed fractional grey model is developed to forecast the natural gas consumption concerning time-delayed effect. Theoretical analysis shows it has more general formulation, unbiasedness and higher flexibility than the existing similar model. Being optimized by the Particle Swarm Optimization algorithm, the proposed model presents higher accuracy in four validation cases. Finally, it is used to forecast the natural gas consumption of the manufacturing industry of China, and the results show that the proposed model significantly outperforms the other seven existing grey models.

Kekuatan Pasar (Market Power) dan Pangsa Ekspor Produk Ban (HS4011) Indonesia dan Negara Pesaing di Malaysia dan Filipina

The exporters of Indonesian and Thailand tire products have the same capability in price mark-ups in the Malaysian market. The price mark-up capability of tire exporters from Indonesia, Thailand and China is greater than the domestic tire industry in the Philippines. However, China has a greater share of tire exports in the Malaysian and Philippine markets and is likely related to China's ability to be able to increase the export composition of various types of tires. Indonesia needs to encourage the domestic tire industry to increase the production capacity of various types of tires through investment and relocation of the tire industry to Indonesia amid the downward trend in China's manufacturing industry. Need to develop tire products for the types of trucks, buses, tractors and heavy equipment that are often used in the construction, agriculture, mining and cargo transportation ports to enlarge market share in Malaysia and the Philippines because Indonesia has competitiveness from the aspect of raw materials. The potential export of various types of tires in the two export destination countries is a challenge to increase the number of exports of Indonesian tire products.

Analyzing the green innovation practices based on sustainability performance indicators: a Chinese manufacturing industry case.

In the wake of the Paris agreement, the adoption of green innovation practices has received substantial attention throughout the world. The consumers, manufacturers, governments, and communities have started realizing the severity and intensity of environmental hazards and climate change. The manufacturing sector is one of the leading industrial waste producers and contributors to environmental pollution, posing a threat to environmental sustainability. The adoption of green innovation practices in the manufacturing sector is indispensable to ensure environmental sustainability. However, it is pivotal to identify, assess, and evaluate the green innovation aspects and sub-aspects with the perspective of sustainability performance indicators in the manufacturing industry. This study services this purpose and proposes a hybrid multi-criteria decision-making (MCDM) by combining the fuzzy analytical hierarchy process (FAHP) and fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) to analyze the effects of green innovation aspects with sustainability performance of the manufacturing industry. The authors identify six green innovation aspects (criteria), twenty-four sub-aspects (sub-criteria), and three sustainability performance indicators (alternatives) for the manufacturing industry in China. The FAHP method indicates that green managerial innovation, green product innovation, and green technological innovation are the most influential aspects of implementing green innovation practices. Further, the FTOPSIS technique reveals that environmental performance is the most suitable sustainability performance indicator in adopting green innovation practices in the garment manufacturing industry of China. This research provides support to the managers and policymakers in understanding the green innovation practices in promoting sustainable development in the manufacturing industry.

Measurement and Promotion of the Transformation and Upgrading Effect of Marine Manufacturing Industry

Jin, Q., 2020. Measurement and promotion of the transformation and upgrading effect of marine manufacturing industry. In: Qiu, Y.; Zhu, H., and Fang, X. (eds.), Current Advancements in Marine and Coastal Research for Technological and Sociological Applications. Journal of Coastal Research, Special Issue No. 107, pp. 81-84. Coconut Creek (Florida), ISSN 0749-0208.With the development of social economy, China's manufacturing industry has been significantly improved. In addition, the implementation and promotion of the marine strategy has further improved the development of marine manufacturing industry. However, there is still a big gap between the domestic marine manufacturing industry and the marine power, which urgently needs to be upgraded. Based on this, this paper first introduces the theoretical basis of the transformation and upgrading of the marine manufacturing industry, then studies the measurement and evaluation of the comprehensive effect of the transformation and upgrading of the marine manufacturing industry, and finally gives the promotion strategy of the comprehensive effect of the transformation and upgrading of the marine manufacturing industry.