Transportation Equipment Manufacturing Research Articles

Intelligence level evaluation and influencing factors analysis of equipment manufacturing industry in the Yangtze River Delta.

The Yangtze River Delta (YRD) bears the vital task of driving the growth of China's equipment manufacturing industry (EMI) intelligence as an advanced region. Fostering the transformation and upgrading of the EMI in the YRD and constructing a modern production mode is vital to developing and reforming China's manufacturing industry. This paper uses industrial robot data to assess the level of intelligence (LoI) in the EMI from 2016 to 2019. The OLS (ordinary least squares) model is used for the measurements, and the MQ (the modified contribution index) is used to estimate the degree of contribution from a host of variables. It is identified that the LoI is on the rise. However, excluding railways, aerospace, shipbuilding, and other transportation equipment manufacturing, the LoI is significantly higher than in other subsectors. It is also identified that technological innovation ability, human capital density, and enterprise cost pressure govern the industry's LoI. Moreover, while there is a difference in the main influencing factors in LoI within different industries, R&D investment, technological innovation ability, and enterprise cost pressure have the most significant impact across most equipment manufacturing sub-industries.

Surveillance of noise exposure level in industrial enterprises-Jiangsu Province, China, 2022.

Occupational noise exposure is the most prominent problem in industrial enterprises in Jiangsu Province. Since 2019, China has established the National Surveillance System for Occupational Hazards in the workplace to grasp the current occupational hazards in critical industries, including occupational noise. According to the Work Plan for Surveillance of Occupational Hazards in the Workplace (2022) issued by the National Health Commission of the People's Republic of China, the noise exposure level of 3,142 enterprises in our province was monitored, the median and interquartile range (IQR) were calculated, and the distribution of noise exposure level was described by industry classification, enterprise-scale and ownership type of the enterprise. The railway, shipping, aerospace, and other transportation equipment manufacturing industries exhibited the highest proportion (42.9%) of individual noise exposure levels exceeding 85 dB(A), followed by the motor vehicles manufacturing industry (36.4%). The proportion of individual noise exposure levels exceeding 85 dB(A) was higher in medium and small enterprises, with rates of 28.1 and 28.6%, respectively. The highest proportion of personal noise exposure levels exceeding 85 dB(A) was observed in Hong Kong, Macao and Taiwan investment enterprises (37.5%), followed by incorporated companies (34.6%) and limited liability companies (28.1%), the lowest was state-owned enterprises(15.5%). The areas with excessive noise are primarily concentrated in grinding, welding, machining, cutting, and other related operations, accounting for 61.2% of the total. Among these operations, grinding accounts for 29.8%. The highest environmental noise and individual noise intensity were found in sandblasting and grinding positions, with individual noise intensities of 115.5 dB(A) and 108.4 dB(A), respectively. The noise exposure risk is so high that cannot be ignored in the manufacturing industry, especially in Hong Kong, Macao, and Taiwan investment enterprises, incorporated companies and medium and small enterprises.

Modeling Critical Success Factors of Lean Strategy in the Manufacturing Industry

This article aims to provide valuable new insights into organizations implementing Lean Manufacturing (LM) as a continuous improvement strategy, focusing on those which are reducing waste in order to increase their competitiveness. A statistical approach was used to model the causal relationships between LM Critical Success Factors (CSFs) to achieve this goal. We used an instrument which has been previously validated in the transportation equipment manufacturing sector in the Mexican manufacturing industry. The proposed hypotheses were subjected to empirical tests using the Structural Equation Modeling (SEM) technique. The results indicate that Top Management Involvement and Commitment, with Project Leadership as a mediator, contributes indirectly and significantly to the increase in the benefits of LM projects. In addition, it was observed that Customer Focus, Linking Lean to the Suppliers, and Training and Education directly influence the increase in the benefits of LM projects in the sector. These findings offer a frame of reference for manufacturing industries with similar characteristics to the sector in this study who wish to increase their benefits by developing projects using LM methodology.

The impact of green technology innovation on global value chain upgrading in China’s equipment manufacturing industry

In recent years, China’s equipment manufacturing industry has been actively embedded in the global value chain (GVC), but pollution emission has become an important factor hindering the industry from climbing to the high-end link of GVC. How to break through this restriction through green technology innovation is exactly urgent for the Chinese government and manufacturers. Therefore, using the panel data of China’s equipment manufacturing industry and its subsectors from 2007 to 2019, this paper constructs an econometric model to investigate the impact of green technology innovation on the GVC upgrading, and further examines the mediating effect through stepwise regression method. The results show that for the full samples of China’s equipment manufacturing industry, there is a U-shaped relationship between green technology innovation and the promotion of GVC status; and for basic metals and metal products manufacturing subsector and transport equipment manufacturing subsector, the conclusion is same with the whole industry; but for machinery equipment manufacturing subsector and electrical, electronic and optical equipment manufacturing subsector, the trend is opposite, that is, an inverted U-shaped relationship which first rises and then declines. Additionally, green technology innovation in China’s equipment manufacturing industry can promote GVC upgrading by reducing its dependence on GVC, optimizing export trade, reducing pollution costs, and promoting green product and process innovation. Based on the above, this paper finally proposes targeted policy implications to provide theoretical basis and experience reference for China’s equipment manufacturing industry to promote the GVC upgrading through green technology innovation.

Risk assessment of noise-induced hearing loss among workers in railway transportation equipment manufacturing enterprises

To analyze the noise exposure and hearing loss of workers in railway transportation equipment manufacturing enterprises, and to assess the risk of hearing loss caused by noise. From 2018 to 2020, an investigation was carried out on 3 railway transportation equipment manufacturing enterprises in Hubei Province and Hunan Province. A total of 840 noise-exposed workers were selected, the individual noise exposure level(L_(Aeq·8 h)) and hearing loss level were measured, the cumulative noise exposure(CNE) was calculated, and the relationship between hearing loss and technological process, working time and CNE were analyzed. ISO1999:2013 was used to calculate the change of hearing threshold and the risk of noise-induced hearing loss after 40 years old. The median age of workers was 32 years old, and the median working age for noise exposure was 10 years. The distribution of positions is mainly welding, machining, assembly and painting.79.5%(120/151) of the individual noise exposure doses exceeded 85 dB(A), and the average L_(Aeq.8 h) was 89.9(A). There were significant differences in the proportion of hearing loss among workers in different process units(χ~2= 29.597, P<0.001), and the proportion of hearing loss in the preparation and steel structure units was higher. The proportion of hearing loss showed an upward trend with the increase of working years(χ~2=164.462, P<0.001), and the high-frequency combined speech-frequency hearing loss(26.7%) increased significantly after working for more than 20 years. With the increase of CNE, the proportion of high-frequency hearing loss and the proportion of high-frequency combined speech-frequency hearing loss increased accordingly(χ~2=192.544, P<0.001). The proportion of high frequency combined speech frequency hearing loss increased significantly in the group with CNE greater than 105 dB(A)·years. It is predicted that the risk of hearing loss caused by noise in assemblers appears earliest and the risk is the greatest. The risk of high noise-induced frequency hearing loss of assemblers was 3.6%-8.6% at the age of 40, 20.2% at the age of 50, 22.0% at the age of 60. The risk of high-frequency combined speech-frequency hearing loss of assemblers was 1.2%-6.2% at the age of 50 and 8.6% at the age of 60. The noise hazard is serious and widely distributed in railway transportation equipment manufacturing enterprises, and the proportion of hearing loss increases with the increase of working time and CNE. Although ISO1999:2013 predicts that there may be an underestimation of noise-induced hearing loss in workers, it can be used as an early warning of hearing loss to identify the potential risk of hearing loss in the population.

Distribution, source and ecological risk of per- and polyfluoroalkyl substances in Chinese municipal wastewater treatment plants

Municipal wastewater treatment plants (WWTPs) are sinks of per- and polyfluoroalkyl substances (PFASs) generated by human activities and are also sources of PFASs in aquatic environment. This study analyzed distribution, source and ecological risk of 14 PFASs in influent and effluent samples from 148 Chinese municipal WWTPs. Composition and concentrations of PFASs in the influents and effluents had obvious spatial differences. Fluoropolymer processing aids/wrappers and textile treatments/coatings were found to be the dominant sources in WWTP influents, which accounted for 78.34% of all sources. Consumption structure and metal and transportation equipment manufacturing affected the spatial differences of PFASs in WWTPs. Further, mean removal rate of total PFASs in all WWTPs was -5.45%. The conventional treatment processes can not effectively remove PFASs and no significant difference was found among different treatment processes. However, risk quotient values of PFASs in effluents were all below 0.1, indicating low risk or no risk to aquatic organisms. It should be noted that the composition, source and ecological risk of PFASs in east China were different from the other regions, which need more attentions. This study sheds insights into occurrencesof PFASs in municipal WWTPs, which should be helpful for their control strategy development.

A Framework for Additive Manufacturing Technology Selection

Additive manufacturing is a popular emerging technology of producing parts directly from digital models. This technology has presented benefits such as freedom of design, the ability to customise, and shortened process chains. Presently, there are different Additive Manufacturing (AM) processes that are available in the market. Often, transport equipment manufacturing companies are faced with challenges while selecting the AM processes that are suited to their needs. Decision-makers need to consider all the underlining factors before a conclusion is reached. This paper proposes an approach that can be used by companies in the rail sector to select AM technologies that are suited to their applications. The approach involves identifying suitable parts, comparing applicable AM technologies and selecting the most suitable technology. The next stage involves re-designing the parts based on the selected technology. The approach is applied to benchmark parts from the industry. The study provides enlightenment on how AM can be applied in the rail industry.

Path Selection and Optimization of Chinese Manufacturing Industry Participating in Global Value Chain Reconstruction

This paper focuses on the path of China’s participation in global value chain reconstruction and concludes three ways to reconstruct the global value chain: embedding in the global value chain, reconstructing the national value chain, and leading the regional value chain. Based on the value-added accounting system and the latest statistics of the TiVA database, we construct an index system for the path selection of global value chain reconstruction and put forward a more suitable path for different manufacturing industries in China. According to the VRCA index and ranking of each type of manufacturing industry, our study concludes that: transportation equipment manufacturing tends to embed in global value chains; textiles, clothing, leather, and related manufacturing; wood products, paper products, and printing; chemical and non-metallic mineral products; base metals and metal products; computer, electronic, and electrical equipment manufacturing; machinery and equipment manufacturing; and other manufacturing industries tend to dominate the regional value chains; and food and beverage manufacturing and tobacco industries tend to restructure national value chains. Finally, our paper gives suggestions and prospects for path upgrading; promoting the integrated development of e-commerce and the manufacturing industry can enhance the competitive advantages of China’s manufacturing industry and achieve path upgrading and optimization. Furthermore, the two-way nesting of the “Belt and Road” regional value chain and global value chain can help China’s manufacturing industry eliminate the dilemma of low-end lock-in and upgrade from the original low-end dependent embedding mode to the middle high-end hub embedding mode.

Analysis of OFDI Industry Linkage Network Based on Grey Incidence: Taking the Jiangsu Manufacturing Industry as an Example

Based on the outward direct investment data of each manufacturing industry segment in Jiangsu Province from 2000 to 2020, this paper establishes a correlation network by constructing a grey incidence model with the average value of absolute grey incidence as the threshold. We further analyze the relationship between each manufacturing industry segment in Jiangsu Province in the process of outward direct investment from two perspectives, namely, point and surface. The study shows that from the perspective of each node, the correlation coefficient between equipment manufacturing and other industries is significantly higher, i.e., the influence of equipment manufacturing on other industries is significantly greater. Chemical raw materials and chemical products manufacturing, general equipment manufacturing, special equipment manufacturing, and transportation equipment manufacturing are the important nodes in the network. From the perspective of the network as a whole, the Jiangsu manufacturing OFDI affiliation network is not concentrated. Still, it has small-world characteristics, which are conducive to disseminating information. In contrast, the close nature of the industry has more commonalities, leading to it being more easily divided into the same module in the network block model analysis.

Material Flows Mobilized by Motor Vehicles and Transport Equipment Manufacturing and Use in the Czech Republic: an Application of Economy Wide Material System Analysis

Material Flows Mobilized by Motor Vehicles and Transport Equipment Manufacturing and Use in the Czech Republic: an Application of Economy Wide Material System Analysis

ASSESSING THE SUSTAINABILITY OF MANUFACTURING PROCESSES IN THE MANUFACTURE OF TRANSPORT EQUIPMENT, BASED ON FUZZY GREY RELATIONAL ANALYSIS

his paper presents a sustainability assessment of manufacturing processes for transport equipment, using fuzzy grey relational analysis. The metrics or sub-indicators for sustainability indicators and their relative applications in the manufacturing processes are used to create sustainability matrices, which are then compared with an ideal series in order to determine grades for the processes using the grey relational model. Grades in the form of values are determined for the performances of the manufacturing processes of four different kinds of transport equipment. The grades identified manufacturing processes in which the performance of the sustainability indicators could be improved. Keywords Sustainability assessment; Manufacturing Processes; sustainability indicators; Transport equipment manufacturing; Fuzzy Grey Relational Analysis.

A Formalised Approach to Optimal Adoption of a Complex of Technical Means

The research relates to the field of automation of technological preparation of production in transport equipment manufacturing sector and proposes the concept of choosing the optimal design model for a complex of technical means within a control system in automated production. The factors characterising the dynamics of the processes have been studied, and the corresponding mathematical models have been drawn up, considering the cost characteristics and the economic feasibility of adopting integratedtechnical means.The main objective of this work is to propose consideration of all parameters that have weight, including the dynamics of technical and economic processes. It is shown that cost characteristics are direct indicators of economic efficiency of the implemented complex of technical means.Methodically, this work was carried out based on economic and mathematical analysis of adoption of a complex of technical means at a transport equipment manufacturing enterprise considering approaches previously suggested by researchers.Thus, for the most accurate determination of the final cost of a certain product option, it is necessary to consider all factors of design decisions. Based on these data, a model of cost characteristics of products is built, analysing which it is possible to select the optimal product design, optimal assemblies and units with specific components and specific quality indicators. This allows obtaining the optimal technological version of the design solution during manufacturing.A method of searching for an optimal production cycle when introducing an automated production system is proposed. It is proposed to consider the losses associated with temporary freezing of funds, including the need to perform a convolution of optimization criteria. To formalise the process of making optimal decisions, it is also proposed to harmonise the products and market needs. Besides, the search methodology should include the search for an optimal group of employees responsible for implementation of specific and narrowly focused tasks, which makes it possible to improve the quality indicators of automated production with an adopted complex of technical means (CTM).To minimise the time spent on entire commissioning of a product from the development stage to receipt of the finished product, it is required to speed up the development work. This can be done by increasing production capacity, as well as by reducing the time of partial cycles of the structure’s existence.Even though the model is becoming excessively redundant, we suppose that introduction of additional elements is necessary to consider all the nuances that help choosing the best solution regarding optimisation issues, which will allow determining of the full economic efficiency of the complex.

Economic contribution of the U.S. catfish industry

The catfish industry is the largest U.S. aquaculture sector and a major contributor to the rural economies of the Southern states of Alabama, Arkansas, and Mississippi. Economic contributions of this industry to the tristate region were estimated using an input-output modeling approach with the IMPLAN database and software (Impact Analysis for Planning MIG, Inc.). An analysis-by-parts approach was employed as the IMPLAN database does not disaggregate the catfish sector from other livestock industries which have expenditure patterns that differ substantially from those of catfish. All major actors of the catfish industry, i.e. feed mills, hatcheries, foodfish farms, and processing plants, were surveyed to obtain their expenditure patterns and output in terms of sales. Data were obtained from 68 farms (hatcheries and foodfish combined), four feed mills, and eight processing plants in the tristate region. Sales and expenditure values were converted to coefficients employing standard enterprise budgeting techniques and imported to the IMPLAN model for estimating industry contributions during 2019. The direct output from the catfish industry ($1.10 billion) generated a total economic contribution of $1.91 billion. The industry directly employed 4,298 people and created an additional 4,868 jobs in the tristate economy for a total employment effect of 9,166 jobs. Catfish industry spending created an indirect economic effect of $552 million in other secondary sectors that supplied production inputs and services. The induced economic effect generated from household spending amounted to $254 million. Some of the key sectors influenced by the catfish industry were grain farming, banking and financial institutions, truck transportation services, electricity generation, equipment, and machinery manufacturing. The industry also generated $78 million in local, state, and federal taxes. This study provides critical insights for policymakers and others into the contribution of the U.S. farm-raised catfish industry to local and regional economies as well as its diverse-industry interconnections.

An input–output analysis of transportation equipment manufacturing industrial transfer: Evidence from Beijing‐Tianjin‐Hebei region, China

AbstractAlthough the industrial transfer path is of great significance to the distribution of the industrial relocators and receivers in the process of industrial transfer, how to measure the input–output relationship between industries is still unclear. Based on an adjusted input–output table, this paper attempts to measure the input–output relationship for transport equipment manufacturing industry in the Beijing‐Tianjin‐Hebei region. The interregional input–output model was used to realize the calculation of the single department transfer amount. Moreover, combining with the calculation results, the transfer path of the transportation equipment manufacturing was characterized. The results showed that the phenomenon of transfer over space in the transportation equipment manufacturing industry was distinct. The industrial transfer has shifted from the coastal areas to central and western regions. Sixteen provinces, mainly including Inner Mongolia, Henan, Shanxi, etc., had a net outflow of the transportation equipment manufacturing industry. The rest is net inflow provinces. Transportation equipment manufacturing industrial transfer is moving into Beijing and Tianjin. This paper will provide a reference for reasonable and orderly acceptance of industrial transfer from a quantitative perspective.

A retrospective investigation of new cases of pneumoconiosis from 1958 to 2018 in Guangzhou City

Objective: To describe the characteristics and the survival status of pneumoconiosis cases reported in Guangzhou City from 1958 to 2018, and to investigate the epidemiological trends of pneumoconiosis. This study is aiming to provide basic data for formulating the guidelines and policies for control of pneumoconiosis, and for evaluating the control effects of pneumoconiosis. Methods: From July 2019 to January 2020, based on the data collected in the pneumoconiosis case cards and database as well as the retrospective follow-up investigate of pneumoconiosis cases, we conducted a descriptive analysis for all the new cases of pneumoconiosis reported from 1958 to 2018 in Guangzhou City. The statistical indices included the number of new pneumoconiosis cases in each decade, types of pneumoconiosis, regional and industrial distributions, survival status, and the change tendency of the diagnosis age and the dust exposure time of pneumoconiosis cases. Results: From 1958 to 2018, a total of 1194 new cases of pneumoconiosis were reported in Guangzhou City, including 1147 males (96.1%) and 47 females (3.9%) . Silicosis (60.1%, 718/1194) and welder's pneumoconiosis (21.5%, 257/1194) were the main types of pneumoconiosis. The top three districts for reporting new cases were Huangpu District (29.0%, 346/1194) , Nansha District (12.6%, 151/1194) and Baiyun District (11.1%, 132/1194) , respectively. The top three industries for reporting new cases were civil engineering construction industry (25.0%, 298/1194) , railway ship aerospace and other transportation equipment manufacturing industry (16.1%, 192/1194) and non-metal mining industry (15.7%, 187/1194) . The diagnosis age for new cases was 47.8 (23.6-79.1) years old, and the dust exposure time was 12.3 (0.4-49.1) years. Both of these two statistical indicators rose first and fell later from 1958 to 2018. As of December 31, 2019, a total of 963 new cases of pneumoconiosis were followed up, of which 467 (48.5%) survived, mainly silicosis (41.3%, 193/467) and welder's pneumoconiosis (43.3%, 203/467) . 496 cases (51.5%) died, and the age of death was 69.9 (32.4-96.9) years old. Conclusion: According to the epidemiological characteristics of pneumoconiosis in Guangzhou, we should focus on key districts and industries in the prevention and control of pneumoconiosis. Besides, the staffs in the occupational disease diagnosis institutions should try the best to collect the complete dust exposure data of new cases of pneumoconiosis. Moreover, the health administrative departments should pay more attention to the management of pneumoconiosis death case reports.

Manufacturing employment in the Southeast: examining the last 30 years

U.S. manufacturing has been in decline for the last forty years, bringing real economic impact. This paper examines the Southern region experience. Variation in rate of decline and industry evolution are shown across states. The important transportation equipment manufacturing industry is explored in more detail. The overall takeaway is that manufacturing looks different across the Southeast.

Investigation on noise exposure level and health status of workers in transportation equipment manufacturing industry

Objective: To explore the noise exposure level and the health status of workers in transportation equipment manufacturing industry, and provide a scientific basis for guidance and implementation of intervention measures. Methods: From January to December in 2019, a total of 2088 noise workers from a large enterprise were selected by cluster sampling method in railway transportation equipment manufacturing, automobile manufacturing and aerospace aircraft manufacturing enterprises. The worker's noise exposure level was detected. Occupational health checkups were performed on the noise workers including electrical audiometry, blood pressure and electrocardiogram. χ(2) test and trend χ(2) test were used to analyze the data. Results: The noise exposure level of 66.9% (1396/2088) workers exceeded 85 dB (A) , and the median noise level was 87.9 (84.3-90.3) dB (A) . Among them, workers of railway transportation equipment manufacturing enterprises had the highest noise exposure level[89.9 (87.8-91.6) dB (A) ]. The detection rate of high-frequency hearing loss, abnormal blood pressure and abnormal electrocardiogram of noise workers were 15.7% (327/2088) , 18.1% (378/2088) and 6.1% (128/2088) , respectively. The differences in the detection rates of high-frequency hearing loss, abnormal blood pressure, and abnormal electrocardiogram in workers of railway transportation equipment manufacturing enterprises, automobile manufacturing enterprises, and aerospace manufacturing enterprises were statistically significant (P<0.05) . Workers of railway transportation equipment manufacturing enterprises had higher detection rates of high-frequency hearing loss (17.6%, 186/1056) . Workers of aerospace manufacturing enterprises had higher detection rates of abnormal blood pressure and abnormal electrocardiogram (26.3%, 169/642; 10.0%, 64/642) . The differences in the detection rates of high-frequency hearing loss, abnormal blood pressure and abnormal electrocardiogram of noise workers were statistically significant in different age and working age groups, and gradually increased with age and working age (P<0.05) . The difference in the detection rate of high-frequency hearing loss of noise workers was statistically significant in different noise intensity groups, and the overall trend was increasing (P<0.05) . Conclusion: The transportation equipment manufacturing industry has serious noise hazards, especially the railway transportation equipment manufacturing industry. Long-term occupational noise exposure can adversely affect workers' hearing and cardiovascular system. Enterprises should strengthen occupational health inspections, and at the same time, take personal protective measures to protect the health of workers.

An Evaluation Model for Selecting Part Candidates for Additive Manufacturing in the Transport Sector

There is a need to develop guidelines for identifying situations where it is more beneficial to apply Additive Manufacturing (AM) as opposed to conventional methods of manufacturing. Thus, the aim of this paper is to propose a model for evaluating the sustainability of applying AM in the manufacture of transport equipment parts. A literature review was conducted to identify the parameters for selecting the part candidates. In the next stage, the criteria were ranked according to the needs of the transport equipment manufacturing industry using the Analytical Hierarchy Process (AHP) technique. The next stage featured the development of the decision matrix using the weights and classified levels. To validate the proposed decision matrix, different case studies from literature were used. The weights obtained from the case studies were in agreement with the proposed evaluation model. This study will add to the understanding of how the AM industries can effectively screen potential part candidates, thereby promoting the overall sustainability of the AM process in terms of material conservation, geometric complexity and functionality. There is still a dearth of information on the evaluation models capable of identifying the core functions of the products and the applicable environment. The work presents a proposed framework for part selection using the evaluation model.

Estimation and Prediction of Industrial VOC Emissions in Hebei Province, China

The study of industrial volatile organic compound (VOC) emission inventories is essential for identifying VOC emission levels and distribution. This paper established an industrial VOC emission inventory in 2015 for Hebei Province and completed an emission projection for the period 2020–2030. The results indicated that the total emissions of industrial VOCs in 2015 were 1017.79 kt. The use of VOC products accounted for more than half of the total. In addition, the spatial distribution characteristics of the industrial VOC emissions were determined using a geographic information statistics system (GIS), which showed that the VOCs were mainly distributed the central and southern regions of Hebei. Considering the future economic development trends, population changes, related environmental laws and regulations, and pollution control technology, three scenarios were defined for forecasting the industrial VOC emissions in future years. This demonstrated that industrial VOC emissions in Hebei would amount to 1448.94 kt and 2203.66 kt in 2020 and 2030, with growth rates of 42.36% and 116.51% compared with 2015, respectively. If all industrial enterprises took the control measures, the VOC emissions could be reduced by 69% in 2030. The analysis of the scenarios found that the most effective action plan was to take the best available control technologies and clean production in key industries, including the chemical medicine, coke production, mechanical equipment manufacturing, organic chemical, packaging and printing, wood adhesive, industrial and construction dye, furniture manufacturing, transportation equipment manufacturing, and crude oil processing industries.

Path for China's high-tech industry to participate in the reconstruction of global value chains

With the deepening of the international division of labor, the change of the national interest distribution pattern, and the spread of de-globalization in some developed countries, the Global Value Chains (GVCs) are undergoing a new round of large-scale restructuring, and the situation of GVCs being dominated by developed countries is changing. Industries of different countries have different paths of participation in the reconstruction of GVCs, including active embedding in GVCs, constructing National Value Chains, and leading to the creation of Regional Value Chains (RVCs). Different high-tech industries in China choose different ways to participate in reconstruction of GVCs due to their different levels of competitiveness. Based on the Value-Added Revealed Comparative Advantage index, this study constructs the basis and criteria for choosing the path of reconstruction of GVCs and designs the appropriate path for Chinese high-tech industry. Pharmaceutical manufacturing and transportation equipment manufacturing industry tend to constructing National Value Chains against the background of globalization, and the chemical products manufacturing, electrical and electronic equipment manufacturing, and optical equipment manufacturing industries tend toward “indigenous innovation” while dominating the RVC reconstruction path, integratinging global and domestic Value Chains, to achieve the domestic and international double cycle goals.