The Research on Influence Factors of the Servitization of the Equipment Manufacturing Industry under the Global Value Chain (GVC) Perspective

Author(s):  
Xiaowei Xu ◽  
Xueyuan Wang ◽  
Rui Zhang
2020 ◽  
Vol 12 (7) ◽  
pp. 2694
Author(s):  
Yan Li ◽  
Haiyan Zhang ◽  
Yihui Liu ◽  
Qingbo Huang

This study uses the World Input–Output Database (WIOD) to construct an export technical complexity index based on the effective elimination of imported foreign technology. The panel data of China’s equipment manufacturing industry from 2000 to 2014 are used as a sample, and the instrumental variable method is used to test the impact of the embedded global value chain on the technical complexity of industry exports. The impacts of different embedding time periods and different embedding methods on the technical complexity of industry exports are also explored with a view to providing reference recommendations to improve the technical complexity of China’s equipment manufacturing exports. The study finds that embedding a global value chain (GVC) can promote the export technical complexity of the equipment manufacturing industry, and with the improvement of domestic openness and industry research and development (R&D) investment conditions, the promotion effect will become increasingly potent. In addition, the backward and forward embedded global value chain (GVC) can promote the export technical complexity of the industry, and the effect of the promotion of backward embedding is even greater.


2020 ◽  
Vol 12 (7) ◽  
pp. 2981
Author(s):  
Yan Li ◽  
Huiying Sun ◽  
Jincheng Huang ◽  
Qingbo Huang

This paper focuses on the low-end lock-in problem faced by China’s equipment manufacturing industry, which is heavily involved in the global value chain (GVC). Specifically, we use the production chain length system and total trade accounting framework to measure some physical and economic location indicators. The physical location measures the forward production length, backward production length, and the location index, whereas the economic location measures various types of value-added in industry exports. The results show that China’s equipment manufacturing industry has deepened its physical and economic low-end lock-in with the gradual deepening of China’s equipment manufacturing industry’s participation in GVC. From a segmented perspective, the manufacture of fabricated metal products (except machinery and equipment) and electrical equipment has the deepest degree of low-end lock-in physical location; the manufacture of computer, electronic, and optical products has the deepest degree of economic low-end lock-in. Therefore, China should accelerate its breakthroughs in the low-end locking dilemma and climb the GVC by adopting various measures such as accelerating the implementation of the intelligent manufacturing strategy, developing service-oriented equipment manufacturing industries, cultivating the domestic market, realizing low-carbon manufacturing, and improving enterprises’ independent innovation capabilities.


2021 ◽  
Author(s):  
Yan Li ◽  
Xinxin Xia ◽  
Qingbo Huang

Abstract As the pillar industry in China's post-industrial era, the equipment manufacturing industry has played an important role of providing technical equipment for downstream industries, which also brought about a substantial increase in CO2 emissions. Therefore, in order to find ways to reduce the carbon dioxide emissions of the equipment manufacturing industry, this paper based on the global value chain production length decomposition model, improved the CO2 emission effect model and the STIRPAT model to study the different impact of the GVC production length on the CO2 emissions of China's equipment manufacturing industry under different GVC participation modes. The study found that extending GVC production length can effectively reduce CO2 emissions, and the CO2 reduction effect of the simple GVC production length is the most significant. Besides, with the extension of the GVC production length, the CO2 emissions of high-tech industries have decreased, while the CO2 emissions of medium-technology industries have increased. In addition, the improvements of policy regulations, factor structure and foreign investment will also reduce CO2 emissions, but the expansion of production scale and R&D investment will increase CO2 emissions.


Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Sisi Dong ◽  
Liangqun Qi

The servitization of construction enterprises based on value chain integration means that construction enterprises use prefabricated buildings and combine advantageous resources to integrate preconstruction feasibility analysis, investment and financing services, design, etc., and postconstruction decoration, operation and maintenance, and waste disposal. This article takes the equipment-manufacturing industry as the research object, and based on the analysis of the service-based value chain integration process, it puts forward research hypotheses, constructs research models, and conducts data simulation research to explore how the equipment-manufacturing industry can realize the logic of industrial value through service reintegration and optimization reveal the changing laws and key influencing factors of the equipment-manufacturing industry’s value-added capabilities during this process. The results show that the industrial connection density, service element embedding methods, and knowledge absorption capacity have a significant impact on the value-added ability of the equipment-manufacturing industry during the integration process. The increase in industrial connection density promotes the enhancement of value-added capabilities, and it is significant at the initial stage and then weakened. Both the input-side and output-side service element embedding can affect the value-added ability, but the effects of the two are different. The improvement of knowledge absorptive capacity can promote the occurrence of service innovation, thereby enhancing the value-added capacity of the equipment-manufacturing industry.


2013 ◽  
Vol 765-767 ◽  
pp. 261-265
Author(s):  
Zhao Ji Yu ◽  
Zhong Jin

Analysis the influence factors of high-end equipment manufacturing industry technical innovation, divide them into three dimensions which are the internal control factors, internal and external coordination factors and external development factors, establish a 18-indicator-index system, and use system dynamics method to modeling and dynamic simulation, in order to provide theoretical guidance for improving the high-end equipment manufacturing industry technical innovation ability, and promote the development of high-end equipment manufacturing industry.


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