Manufacturing Industry In China Research Articles

Intellectual Property Information Service in Colleges and Universities Under the Background of Innovation Driven

This paper studies the intellectual property information service in Colleges and Universities under the background of innovation driven. Firstly, this paper expounds the concept and characteristics of intellectual property management in knowledge intensive manufacturing industry. On this basis, this paper compares and analyzes the current situation of intellectual property in knowledge intensive manufacturing industry at home and abroad from the aspects of intellectual property development, operation, protection and coordination, and finds out the achievements and shortcomings of intellectual property management in knowledge intensive manufacturing industry in China. This paper analyzes the hypercycle model of knowledge transfer and the collaborative evolution mechanism of knowledge transfer in knowledge intensive manufacturing industry by using the relevant theories of linkage and hypercycle. On this basis, the linkage relationship between knowledge transfer and intellectual property management in knowledge intensive manufacturing industry is analyzed. Based on the specific domestic intellectual property environment, this paper constructs the intellectual property management system of China's knowledge intensive manufacturing industry from three dimensions: intellectual property development, intellectual property protection and intellectual property operation.

The influence of factor-biased technological progress on the share of labour income in the digital economy

ABSTRACT This study introduces digital factor into the CES function to construct a normalised supply-side system of three-factor CES production function with factor-biased technological progress. Based on the empirical data of technology-intensive, capital-intensive, and labour-intensive manufacturing industries in China, this study measures the elasticity of substitution, factor efficiency and the bias of technical progress of three types of manufacturing industries, and analyses the impact of technical progress bias index on the share of labour income. We find that: from 2010 to 2018, the substitution elasticities of technology-intensive, capital-intensive, and labour-intensive industries are all less than 1, indicating that the digital factor, labour and capital of the three types of industries are complementary. The technical progress of labour-intensive and capital-intensive industries are both biased towards the capital, while technology-intensive industries have labour-biased technical progress. The development of digital-biased technology is conducive to the increase of the labour income share of labour-intensive industry and technology-intensive industry, and both capital-biased technology and labour-biased technology contribute to the growth of labour income share of capital-intensive industry.

Research on condition monitoring and fault diagnosis of intelligent copper ball production lines based on big data

With the continuous upgrading and transformation of the intelligentisation of China's manufacturing industry, and in response to the requirements for further intelligentisation of the phosphor copper ball production line proposed by a new electronic material company, this study proposes a fault prediction and diagnosis method based on big data. A high-efficiency distributed big data platform is constructed, and a workshop-level monitoring centre with the Windows control centre (WinCC) as the core is formed. The WinCC configuration software is used to monitor the key parameters of the equipment during the operation phase, and the login interface is configured according to the requirements of workshop information integration, for example, display interface, alarm interface, debugging interface, trend graph and other common functions. Cloud platforms and virtual private network (VPN) communication are used to realise remote maintenance. Aiming at the common fault problems in the production process, an expert diagnosis system based on fault tree analysis is constructed by fusing the fault tree theory and expert systems. The fault tree model of the unqualified phosphor copper ball production quality and the failure of the hydraulic system is highlighted. Therefore, ensuring the safety of the phosphor copper ball production line is of great significance to the entire production system.

Surveillance of Noise Exposure Level in the Manufacturing Industry - China, 2020.

IntroductionOccupational noise exposure is a widespread issue in the manufacturing industry in China. Since 2019, the National Surveillance System for Occupational Hazards in the workplace was established to understand different occupational hazards, especially occupational noise, in workplaces in China.MethodsBoth environmental and individual noise exposure levels were measured for 19,378 enterprises according to the Work Plan for Surveillance of Occupational Hazards in the Workplace (2020) issued by National Health Commission of the People’s Republic of China. Median and interquartile range (IQR) were calculated to describe the distribution of the noise exposure level by industry classification, enterprise-scale, and ownership type of the enterprise. ResultsOverall, 25.14% of the individual noise exposure samples exceeded the Chinese national standard among the selected enterprises. The overall median of environmental noise exposure level was 82.8 dB(A) in selected enterprises, while the median of individual noise exposure level was 81.3 dB(A). The individual noise exposure level in the manufacture of metal products, manufacture of motor vehicles, mini-sized enterprises, collective enterprises and private enterprises was relatively high.ConclusionOccupational noise is still one of the occupational hazards that cannot be ignored in the manufacturing industry, especially in mini-sized and private enterprises. The risk of noise exposure in the target industry is still high and will pose a threat to the health of workers.

Corporate environmental responsibility and employees’ pro-environmental behaviors at work: insights from organizational identification and workplace spirituality perspective

Although corporate environmental responsibility (CER) can influence employees’ attitudes and behaviors, little research has been done to explain the effect of different dimensions of CER (e.g. substantive and symbolic CER) on employees’ pro-environmental behaviors at work, and further to explore the underlying mechanism and the boundary condition of this effect. This research built a theoretical model to explain how and when substantive and symbolic CER influences employees’ pro-environmental behaviors. 188 matched supervisor-subordinate dyads were collected from the manufacturing industries in China. The findings revealed that substantive CER has a positive effect on employees’ pro-environmental behaviors. However, symbolic CER has a negative effect on employees’ pro-environmental behaviors. Furthermore, substantive CER also significantly and indirectly affects employees’ pro-environmental behaviors via organizational identification, while symbolic CER has no significantly indirect effect on employees’ pro-environmental behaviors via organizational identification. In addition, employees’ workplace spirituality moderates the effect of CER on their pro-environmental behaviors.

Threshold effects of energy consumption, technological innovation, and supply chain management on enterprise performance in China's manufacturing industry

China's economy is changing from high-speed growth to high-quality development. Now its development is green and sustainable, characterized by low energy consumption and high innovation. Under the circumstance, it is vital to research on the threshold effects of energy consumption, technological innovation, and supply chain management on enterprise performance in China's manufacturing industry. This study selects data from 115 manufacturing companies listed in the Stock Exchange of Shanghai and Shenzhen from 2010 to 2019 as samples. We adopt the panel threshold model to analyze the impact of energy consumption, technological innovation, and supply chain management on enterprise performance. Our results show that energy consumption, technology innovation and supply chain management all have non-linear relationship on enterprise performance. There is an inverse S-shaped relationship between energy consumption and enterprise performance, and a significant threshold effect of technology innovation. Moreover, technological innovation has a two-sided effect on enterprise performance. In addition, supply chain management has a significant positive impact on enterprise performance. According to the project of China's carbon peaking by 2030, we put forward some methods for energy conservation, emission reduction, cost saving, and efficiency improvement for China's manufacturing industry. We also provide some suggestions for enhancing enterprises' technological innovation and supply chain management.

Moderating Multiple Mediation Model of the Impact of Inclusive Leadership on Employee Innovative Behavior.

Leadership is an important antecedent variable of employee innovative behavior. In previous studies, the influence of inclusive leadership on employee innovative behavior mainly focus on one mediating variable, which may lead to a deviation in parameter estimation due to the omission of other mediating variables. According to the social cognitive theory and motivation theory and from the perspective of cognitive–motivation integration, this study establishes a moderating multi-mediation model to understand the impact of inclusive leadership on employee innovative behavior. Psychological safety and creative self-efficacy are used as mediating variables, and innovation rewards are used as moderating variables. The data are collected from 418 employees of the manufacturing industry in China. The results show that, at first, inclusive leadership has a positive effect on employee innovative behavior. Secondly, both psychological safety and creative self-efficacy play partial mediating effects between inclusive leadership and employee innovative behavior, with the effect of the former being significantly smaller than that of the latter. Thirdly, innovation rewards positively moderate the relationships of “psychological safety—employee innovative behavior” and of “creative self-efficacy—employee innovative behavior.” Fourthly, innovation rewards positively moderate the indirect effect of inclusive leadership on employee innovative behavior through psychological safety and creative self-efficacy. These findings are not only helpful to expand how inclusive leadership influences the innovative behavior of employees but also provides some suggestions for enterprise innovation development.

The hybrid PROPHET-SVR approach for forecasting product time series demand with seasonality

Demand forecasting is the basic aspect of supply chain management. It has important impacts on planning, capacity and inventory control decisions. Seasonality is a common characteristic of most time series demands in practice. Thus, regarding seasons and holidays as important factors of demand forecasting is nontrivial, which contributes to increased forecasting accuracy. In this study, we propose a hybrid approach that integrates Prophet and SVR (support vector regression) models to forecast time series demand in the manufacturing industry with seasonality. In the proposed hybrid PROPHET-SVR approach, Prophet is used to forecast the seasonal fluctuations and determine the input variables of SVR, and SVR is used to capture nonlinear patterns. Therefore, the approach can not only customize the influence of holidays and seasons but also account for the forecasting residual to increase the accuracy. Computational results demonstrate that the hybrid PROPHET-SVR approach outperforms a variety of other prediction methods. This paper also illustrates the application of the new forecasting method in a case of the manufacturing industry in China, and proves the robustness of the method.

Wage increase and innovation in manufacturing industries: Evidence from China

This paper explores the relationship between wage increase and innovation and investigates the underlying mechanisms through which wage increase affects innovation. Empirical results, based on the data from 37 two-digit manufacturing industries in China from 2002 to 2019, show that the increases in wages do contribute to innovation in general but their contributions vary across industries and over time. Specifically, the effects of the increasing wages on innovation were insignificant before 2008 but became positively significant after 2008. Moreover, labor productivity acts as a mediating channel between wage increase and innovation while the labor substitution mechanism does not work. The findings in this study offer a new understanding of the effects of the increasing wages on innovation in developing countries.

Location choice and spatial distribution of the electronic information manufacturing industry in China

AbstractThis paper examines the changing spatial distribution of electronic information manufacturing (EIM) industry in China by focusing on the location choice of new firms. A three‐pronged “global‐regional‐local” nexus framework was proposed to identify the factors that influence firm location choice. Tobit regression analysis was performed to evaluate the impacts of these factors. The study reveals the spatial concentration of the EIM industry and a trend of westward diffusion. The regression analyses stratified by time period and by region demonstrate spatial and temporal variabilities in the influence of many factors, especially the regional advantage factors (e.g., labor cost, localization economies, and urbanization economies). Meanwhile, some factors, such as foreign direct investment, the presence of state‐owned enterprises, and local government policies, show stable effects over time and across regions.

Understanding the green total factor energy efficiency gap between regional manufacturing—insight from infrastructure development

Infrastructure development and energy efficiency improvement are crucial to the high-quality transformation of the economy. However, little literature discusses how infrastructure development affects the energy efficiency gap between regional manufacturing. This paper estimates the per capita capital stock of economic infrastructure and the green total factor energy efficiency of China's manufacturing industry. Unlike the prior grouping according to geographical location or other standards, this paper conducts a data-driven clustering method and convergence analysis on energy efficiency. Thirty provinces eventually converge into four clubs, and the gaps in energy efficiency between various clubs are found to persist. The results of the panel-ordered Probit model indicate that infrastructure development can reduce regional discrepancies in manufacturing's green total factor energy efficiency. This effect is heterogeneous in transportation infrastructure and power infrastructure. As time goes on, the marginal effect of infrastructure diminishes. Moreover, the established infrastructure reduces the regional disparities in energy efficiency, while the infrastructure under construction instead widens the gap. Some relevant policy recommendations are provided for future infrastructure planning and green development strategy based on the conclusions.

Research on the Digital Transformation of Sporting Goods Manufacturing Industry in China Based on "C2M" Mode

This paper studies the transformation and upgrading of sporting goods manufacturing industry in China, and discusses why the sporting goods manufacturing industry needs digital transformation from the perspective of "C2M" mode, and puts forward some suggestions on how to carry out the digital transformation of sporting goods manufacturing industry in China based on the "C2M" mode. Based on the "C2M" mode, four suggestions are put forward: first is to establish a platform to attract consumers and meet the personalized customization needs to face the gradual diversification of consumer needs; second is to build a flexible production chain and change the business management concept to face the gradual increase in the cost of production factors; third is to accelerate the digital transformation of management and improve the level of management modernization to face the drawbacks brought by the industry from design to sales and circulation; fourth is to strengthen brand building and pursue market segmentation in order to face the situation that China's large-scale sporting goods manufacturing industry is facing high marketing expenses and the small and medium-sized sporting goods manufacturing industry does not pay attention to innovation.

The Research on Quality Change Effect of Digital Economy Enabled Manufacturing Industry

High-quality development of manufacturing industry is the key to leading the high-quality development of China's economy. The paper analyzes the mechanism and effect of the quality change of China's manufacturing industry enabled by digital economy. And then, it is considered that the basic pattern of China's manufacturing industry is that the manufacturing industry is large but not strong. As a result, quality change could focus on the intensive margin on the basis of strengthening and expanding the margin. However, the quality change of manufacturing industry enabled by digital economy is a complicated process. Therefore, the quality change of manufacturing industry would give full play to the decisive role of market mechanism while giving better play to the role of the government. The focus of policy could focus on incentives and synergy that are conducive to promoting the digital transformation of the manufacturing industry.

Walking the talk? A multiple-case study of quality management implementation in China

Focusing on the manufacturing industry in China, the study explores factors that contribute to possible implementation gaps between companies’ actual practices and the commonly recognized core quality management (QM) practices. In-depth interviews were conducted with production managers, quality managers, and executives of 11 manufacturing companies in China. The selected case companies vary by firm size, ownership, and markets they operate. Qualitative analysis was conducted using NVivo software program. When assessed in comparison with commonly recognized core QM practices, the case companies showed implementation gaps. The implementation gap refers to the lack of comprehensiveness of QM core practices implemented in an individual company against the benchmark practices. Moderate or large implementation gaps were found in seven out of 11 case companies. The study further explores the contextual and cultural factors that contribute to the QM implementation gaps. Case analysis identified that building of quality-centric culture plays a key role in closing the QM implementation gaps. Company ownership is another important indicator for the QM implementation gaps.

Migration of manufacturing industries and transfer of carbon emissions embodied in trade: empirical evidence from China and Thailand.

At present, China's carbon emissions rank first in the world, which not only brings huge challenges to the sustainable development of China's economy, but also brings more pressure from public opinion in the international community. With the outward migration of China's manufacturing industries to Southeast Asia, the carbon emissions embodied in trade has also been transferred. These trends provide a good opportunity to analyze the characteristics of transnational industrial restructuring and spatial structure transformation of carbon emissions between China and Southeast Asian countries. In 2020, ASEAN has become China's largest trading partner, and Thailand, due to its unique industrial structure and investment environment, will surely become one of the main ASEAN countries to undertake the transfer of China's manufacturing industry. Over the years, the shift of carbon emissions by the continuous transfer of a large number of basic manufacturing industries from China to Thailand promoted the release of China's carbon emission pressure. In this article, on the basis of the data of import and export commodities between China and Thailand from 2012 to 2017, the input-output model is carried out to analyze the energy consumption of China's various industries, and three periods, namely 2012, 2015, and 2017, are used to be key periods to calculate the embodied carbon of China's manufacturing migration and Sino-Thailand trade. The empirical results show that the transfer of China's manufacturing to Thailand from 2012 to 2017 has continued to rise. The transfer of Chinese manufacturing to Thailand is positively correlated with the carbon emissions of trade between the two countries, which has promoted the relief of China's pressure on energy conservation and emission reduction. Therefore, government departments should formulate differentiated and stable domestic manufacturing policies, spend on the development of advanced manufacturing industries with low energy consumption and high technology density, and encourage the relocation of industries with low technology density and high-carbon emissions to effectively reduce environmental pressure in China.

How does infrastructure affect energy services?

Infrastructure and energy services play a leading vital role in prospering an economy. Therefore, the internal influence mechanism between the two is a crucial issue that deserves the benefits of macroeconomic planning policies. By adopting the perpetual inventory method and data envelopment analysis, this paper estimates the provincial capital stock of economic infrastructure and measures the energy services of China's manufacturing industry during 2003–2017. The moderated mediation model and Bootstrap random sampling method are employed to explore the impact mechanism of infrastructure development on energy services. We find that the expansion of infrastructure will not only improve the energy services through direct effects but also through the indirect effects of promoting economic growth. The enterprise's capital circulation efficiency plays a moderation role in the mediation process. With the increase of capital circulation efficiency, the indirect effect of economic growth is decreasing. Besides the conclusion, some targeted policy suggestions are made for the government.

Impact of anti-corruption and environmental regulation on the green development of China's manufacturing industry

The government's environmental governance may be affected by corruption and affect the implementation of environmental policies. Unfortunately, existing research only considers environmental regulations (ER) and ignores the role of anti-corruption (AC) in green development. Using China's provincial manufacturing industry data from 1998 to 2017 as an example, this study investigated the impact of AC and ER on the green development of manufacturing (MGD). This study first determined the MGD by combining the epsilon-based measure model and the Malmquist-Luenberger index. Then, a spatial Dubin model was used to handle spatial effects and a panel threshold model was employed to investigate nonlinear effects. The results showed that: (i) AC and ER significantly improved MGD, and the spatial spillover effect of MGD was 0.467. (ii) ER and MGD have a non-linear relationship, when AC is at a low level, the implementation effect of ER is low, and as AC increases and exceeds the threshold 3.105, the implementation effect of ER increases significantly from 0.094 to 0.171. To make the results robust, this study implements a robustness test by replacing variables. Finally, the policy implies that the government should pay attention to the role of AC in improving MGD and consider the spatial spillover effect of AC, and promote the implementation effect of ER on MGD.

Analysis of the agglomeration of Chinese manufacturing industries and its effect on economic growth in different regions after entering the new normal

Abstract Entering the new normal of economy symbolises the innovation of growth mode and continuous optimisation and upgradation of economic structure. Using EG index, this paper measures the agglomeration degree of 31 provinces and cities and 31 manufacturing industries in China from 2012 to 2016; the results show that under the new normal, the degree of industrial agglomeration in China's manufacturing industry remains basically stable, but the overall situation is still in a state of moderate agglomeration, the regions with higher degree of concentration continue to present the pattern of ‘one pole, two domains’. To further reveal the relationship between the concentration of Chinese manufacturing industry and regional economic growth, the GMM method of dynamic panel two-stage system was used, and the results showed that industrial agglomeration and economic growth do not have simple linear relationship, but inverted U-type relationship. There was a dynamic continuation effect of regional economic growth, and external factors such as fixed asset investment and government financial expenditure can promote regional industrial economic growth. Finally, the enlightenment of the complete article is given.

Position domain control technology for six-joint robots

In the context of the rapid development of intelligent manufacturing, high-precision motion control of industrial robots has attracted increasing research attention. High-speed and high-precision motion control is a development trend associated with the current industrial robots. Industrial transformation and upgradation can be accelerated only via the independent research and development of robot core technologies, including robot high-precision control systems, ensuring the transition of the manufacturing industry in China toward intelligent and digital development. Currently, the contour tracking error associated with majority of the multiaxes CNC machine tools and multijoint industrial robots is a common problem. A good tracking performance can be achieved in time with respect to each joint axis when the space trajectory of the serial multijoint industrial robot changes under multiaxes linkage. The ideal contour trajectory cannot be fully ensured because of the mechanical and electrical hysteresis effects. Therefore, the synchronization of the motion of each servo axis in the geometric space is very important. In this paper, the existing kinematics and dynamics of industrial robots were combined with the traditional PID control theory for studying position domain control algorithm of the six-joint robot to resolve the problem of low accuracy associated with the robot end profile, which can be attributed to the lag between the motion instruction and the actual position. The algorithm uses the method of real-time establishment of the master–slave motion relation for controlling the spatial contour trajectory of the robot. It further transforms the synchronization control method of each servo joint in the time domain into the master–slave follow control method of each servo joint in the position domain. While realizing synchronization control in the position domain, PD control based on position domain was introduced to reduce the following error of the master–slave following control, improving the overall accuracy of the contour motion of the robot end. The method proposed in this paper has been tested on the Linux CNC numerical control system with a company’s HSR-JR605 robot, indicating that the position of the domain control method employed positively affects the accuracy of six articulated robot space trajectory.

Evaluation and spatial agglomeration analysis of the green competitiveness of China's manufacturing industry at the provincial level.

The pressures to maintain a low-carbon economy makes green competitiveness (GC) a significant issue in China. It has been found that the development of Internet and E-commerce contributes significantly to GC of regional economy, yet there are still lack of quantitative investigation on their effects, which can be used to further guide the economic development. Therefore, this study constructs a new evaluation index for the green competitiveness of the regional manufacturing industry in China by introducing Internet application indicators and E-commerce development indexes into its evaluation system. The results show Jiangxi and Gansu moved upward significantly in the GC ranking over the period. The development of the Internet and E-commerce has the most significant impact on GC of regional manufacturing. The lack of green manufacturing capabilities and green innovation drivers led to a decline in the GC ranking of Liaoning, Tianjin, Guangxi and Heilongjiang. Finally, this study uses Moran’s I index to investigate the spatial agglomeration effect of the green development of the manufacturing industry at the province level. The results show an increase in the GC of China’s regional manufacturing industry, and the GC of manufacturing industry shows a significant agglomeration effect. Based on the above conclusions, the proposal to promote the balanced development of the GC of the manufacturing industry is proposed.