Upgrading Of China Research Articles (Page 1)

The Impact of Domestic Circulation on Value Chain Upgrading in China’s Equipment Manufacturing Industry: Evidence Under the Dual Circulation Strategy

Amid accelerating industrial transformation driven by artificial intelligence and digital manufacturing, vocational education faces an acute shortage of du-al-qualified teachers who can bridge academic instruction and enterprise prac-tice. This study investigates the construction and optimisation of faculty teams in Shandong’s vocational colleges within the paradigm of industry–education integration. Drawing upon Human Capital Theory, the TVET-oriented TPACK framework, and the AI-enabled professional learning model, a mixed-methods design combined questionnaire data (132 valid responses) with semi-structured interviews and a case study at Shandong X College. Findings reveal structural and competence imbalances: only 49.4 per cent of teachers hold dual qualifica-tions, fewer than 30 per cent engage in enterprise practice exceeding three months annually, and merely 22.7 per cent employ AI-assisted or digital-twin pedagogy. Three interlocking barriers were identified—rigid institutional mechanisms, resource scarcity, and cognitive constraints regarding digital and industrial teaching. To address these challenges, the study proposes a Tri-ple-Entity Collaboration and Dual-Drive framework linking full-time teachers, enterprise engineers, and part-time practitioners, supported by policy incen-tives and AI-based capability development. Implementation at Shandong X Col-lege increased dual-qualified faculty to 58.2 per cent, raised digital-teaching coverage to 65.3 per cent, and improved enterprise participation by 40 per cent. Theoretically, this research extends Human Capital Theory by integrating AI-mediated capacity growth and enriches the TVET-TPACK model through quantitative validation. Practically, it offers a replicable approach for aligning vocational faculty development with industrial upgrading in China’s digital economy.

Amid global economic transformation, technological innovation is widely recognized as a pivotal driver for the sustainable upgrading of the automotive industry. This is particularly critical for China, the world’s largest automotive market, which faces persistent challenges, including technological bottlenecks in core components and confinement to low-value segments within global value chain. This study introduces novelty by systematically integrating and empirically testing the mediating role of Global Value Chain (GVC) and the moderating effect of industrial agglomeration within a unified framework—a focus that remains underexplored in the sector. Using panel data from 28 Chinese provinces (2000–2020), we measure industrial upgrading using the DEA-Malmquist index to capture total factor productivity changes and employ a system GMM approach. The results indicate that technological innovation directly fosters industrial upgrading and indirectly facilitates it by improving the industry’s GVC position. Moreover, industrial agglomeration positively moderates this relationship, thereby amplifying the returns to innovation within geographic clusters. These findings highlight the necessity for integrated policies that simultaneously promote technological innovation, strategic GVC positioning, and synergistic industrial agglomeration to achieve sustainable upgrading. As a paradigmatic emerging economy, China’s experience offers valuable insights for other latecomer economies pursuing industrial upgrading.

The impact of technology transfer on industrial upgrading in China: an analysis based on patent data

With the rapid development of the low-altitude economy, low-altitude logistics has become an important driving force for the transformation and upgrading of China's logistics industry. However, the current talent cultivation model of logistics management major in Chinese universities still cannot meet the needs of the development of low-altitude economy. The relevant content of low-altitude economy has not been well integrated into the current curriculum system, and there is an urgent need for reform and innovation. This research aims to explore how to integrate the relevant content of low-altitude economy and apply the blended teaching mode to enhance the teaching quality of the logistics management major and the comprehensive quality of students, providing high-quality logistics management talents for the construction of low-altitude economy in China. Based on the analysis of the current situation of low-altitude economy and logistics management education in China, a teaching model framework of "three-stage five-dimensional integration" is proposed. Through online learning, interactive discussions, practical operations and diversified evaluations, a comprehensive curriculum reform is achieved. The research predicts that through the proposed online and offline blended teaching model, students' comprehensive quality and employability will be significantly enhanced, providing new ideas and practical basis for the reform of the logistics management education model in China.

Under the trend of economic globalization, the importance of supply chains has gradually become prominent, especially with the transformation and upgrading of China’s industrial chains in recent years. Supply chain transformation has emerged as a significant focus of current academic research, and the construction of smart supply chains represents an inevitable development trend. This paper utilizes 1,051 research articles on smart supply chains published in core journals on China National Knowledge Infrastructure (CNKI) from 2014 to 2024 as the data source. It analyzes the literature data using CiteSpace software, visually exploring and revealing the frontiers and hotspots of domestic research on smart supply chains. The data analysis reveals that academic research in this field is at a stage of steady and healthy development. Domestic research trends include the cooperative mechanisms of smart supply chains in manufacturing, the operational mechanisms of smart supply chains in agriculture, and systematic research on influencing factors of smart supply chains.

The rapid development of artificial intelligence technology has provided enterprises with new growth momentum, facilitating the transformation and upgrading of China's domestic economy. Against this backdrop, this study empirically examines the impact of artificial intelligence patent applications on corporate value using a sample of A-share listed companies in China from 2012 to 2022. The key findings are as follows. First, artificial intelligence patent technologies significantly enhance corporate value, a conclusion that remains robust after a series of rigorous tests. Second, state-owned enterprises experience a more pronounced positive effect from artificial intelligence patent applications on corporate value compared to non-state-owned enterprises. Third, regional heterogeneity analysis reveals that the value-enhancing effect of artificial intelligence patents is statistically significant in eastern regions but insignificant in central and western regions. By exploring the relationship between artificial intelligence patent technologies and corporate value, this research contributes to the expanding literature on artificial intelligence and provides empirical evidence to support the advancement of AI-driven economic growth and high-quality enterprise development in China.

With the rapid development of new-generation information technologies, intelligent manufacturing has become a key direction for the transformation and upgrading of China’s manufacturing sector. As a major industrial city in Jiangxi Province, Jiujiang’s traditional enterprises face both policy opportunities and multifaceted challenges in terms of technology, talent, and management during their transformation. Against the backdrop of intelligent manufacturing, this paper reviews relevant theoretical foundations and existing research, analyzes the practical difficulties and developmental characteristics of traditional enterprises in Jiujiang, and constructs three typical transformation path models: “technology-driven,” “management-optimization,” and “collaborative-integration.” On this basis, the study proposes promoting high-quality intelligent transformation of regional enterprises through three approaches: government policy guidance, internal capability enhancement, and industry-university-research collaboration. The research findings offer both theoretical insight and practical guidance for local government policymaking and enterprise decision-making regarding transformation paths.

ESG disclosure and corporate human capital upgrading in China

The development of a low-carbon economy has significant practical implications for promoting the transformation and upgrading of China's economy and building a beautiful China. Based on the connotation of the low-carbon economy, this study constructed an evaluation index system and employed the entropy method to assess the development level of the low-carbon economy in different regions of China from 2006 to 2020, and explored the spatiotemporal convergence of the entire country and the four major regions. The research results indicate: First, the development level of the low-carbon economy in various regions of China has improved, with the eastern region taking the lead. Second, although there are differences in the development level of the low-carbon economy among regions, the imbalance across the country has alleviated to some extent. Third, the whole country, the eastern, western and central regions show σ convergence in the development level of the low-carbon economy, while the northeastern region does not exhibit σ convergence; all regions have absolute β convergence and conditional β convergence, and show a strong spatial autocorrelation. It is suggested to improve low-carbon policies and optimize the industrial structure; promote the concept of low carbon and encourage public participation in low-carbon actions; strengthen inter-regional coordination and promote exchanges and cooperation in the development of the low-carbon economy.

With the accelerating process of transformation and upgrading of China’s manufacturing industry, employers’ requirements for the professional qualities and skills of technical workers are increasing day by day. As the core value to promote high-quality development, the craftsman spirit has become an important part of vocational education. Taking the Mechanical Foundation course of the mechanical major in a technician college as an example, this study tracked and analyzed the teaching effect of integrating the craftsman spirit into the course for one academic year. By comparing the performance of students before and after integrating the craftsman spirit into daily teaching, it explored its influence on students’ professional skills, innovation ability, and professional qualities. The study collected data through questionnaires, classroom observations, etc., providing a practical basis for the promotion of the craftsman spirit in vocational education and curriculum reform in the future.

This article aims to explore the evolutionary characteristics and influencing factors of the consumption structure of urban and rural residents across prov-inces in China. Based on inter provincial consumption data of urban and rural residents, this article analyzes the demand elasticity of eight major categories of consumption among residents, and examines the impact of factors such as ur-banization rate and elderly dependency ratio on consumption upgrading. The study found that urbanization rate is a key factor driving the growth of con-sumption expenditure. This article provides empirical evidence for understand-ing the changes in the consumption structure of urban and rural residents in China, and provides reference for formulating relevant policies.

With the acceleration of globalization and the rapid development of information technology, the traditional leather industry has become an important role in the digital economy. This study explores the concept of digital economy and its impact on the leather industry's upgrading to high-quality development and green transformation. By leveraging technologies such as big data, the Internet of Things, artificial intelligence, and blockchain, traditional leather companies can optimize production processes and enhance market intelligence. The emergence of the digital economy has not only reshaped sales strategies, but also facilitated cross-border trade and market expansion for leather companies. In addition, this article also emphasizes the important role of digital economy-related technologies in promoting the green transformation of enterprises such as waste recycling and efficient water treatment. This study provides a theoretical basis and practical guidance for leather manufacturers to carry out digital transformation and achieve sustainable growth in the context of the digital economy.

This study investigates the impact of industrial agglomeration on the upgrading of China’s automobile industry (UCAI) using panel data from 28 Chinese provinces spanning 2000 to 2020. The automobile industry is vital to China’s manufacturing and service sectors, with its upgrading capable of driving national economic growth and contributing to sustainable development goals. We employ the Malmquist productivity index based on the Data Envelopment Analysis (DEA) method, implemented through DEAP 2.1 software, to assess the UCAI. System Generalized Method of Moments (GMM) analysis, conducted using Stata 17 software, was used to examine the impact of industrial agglomeration on this process, while also exploring the threshold effect of human capital and the moderating effect of government. The results indicate that industrial agglomeration significantly enhances the upgrading of the automobile industry; however, human capital acts as a critical threshold. Below this threshold, agglomeration does not have a significant impact on the upgrading of the automobile industry, while exceeding it allows for significant positive effects. Additionally, government has a moderating effect in facilitating this process by implementing policies that support innovation and sustainable practices. Based on these findings, this paper presents several policy implications aimed at further promoting the UCAI and advancing sustainable development in the sector.

In the stage of high-quality development, higher vocational education is an important force to promote the optimization and upgrading of China's industrial structure. This paper selects provincial panel data and uses spatial Dubin model to explore the spatial effect of fiscal expenditure on Higher Vocational Education on the upgrading of industrial structure. The results show that: first, the fiscal expenditure of higher vocational education and the upgrading of industrial structure have spatial autocorrelation, mainly manifested in the phenomenon of high agglomeration and low agglomeration; Secondly, the fiscal expenditure of higher vocational education has an inhibitory effect on the upgrading of industrial structure and a negative spatial spillover effect on the surrounding areas; Thirdly, regionally, the fiscal expenditure on Higher Vocational Education in the eastern region has no obvious impact on the upgrading of industrial structure in the region, but it will hinder the upgrading of industrial structure in the surrounding areas; Fiscal expenditure on Higher Vocational Education in the central region can neither promote the upgrading of local industrial structure nor promote the upgrading of industrial structure in neighboring regions; Increasing fiscal expenditure on Higher Vocational Education in the western region has no obvious impact on the upgrading of industrial structure in the region, and can promote the upgrading of industrial structure in the surrounding areas. Finally, some suggestions are put forward: pay attention to the investment in connotation construction and speed up the training of high-level skilled talents; Strengthen the integration of industry and education to ensure the docking of talent supply and industrial demand; Pay attention to regional differences, promote the coordinated development of higher vocational education, and help upgrade the industrial structure.

Intelligent manufacturing is a global trend in the development of the manufacturing industry and a key direction for the transformation and upgrading of China's manufacturing sector. This paper explores the relationship between customer concentration and the intelligent transformation of manufacturing enterprises from the perspective of customer concentration, revealing the mechanisms through which innovation investment levels and innovation path dependence mediate the relationship between customer concentration and intelligent transformation in manufacturing. To this end, based on data from Chinese A-share manufacturing enterprises from 2013 to 2021, the study employs web crawling technology to collect "intelligent transformation" keywords from corporate annual reports, thereby characterizing the level of intelligent transformation in enterprises. The results indicate that customer concentration inhibits the intelligent transformation and upgrading of enterprises. Mechanism analysis shows that customer concentration primarily mitigates its inhibitory effect on intelligent transformation by promoting corporate innovation investment, while it exacerbates the inhibitory effect through innovation path dependence. Finally, the study proposes countermeasures and suggestions from three aspects: adjusting customer structure, enhancing innovation investment, and fostering an open and diversified mindset, providing theoretical guidance and insights for promoting the intelligent development of Chinese manufacturing enterprises.

The purpose of this research project is to deeply analyze how the innovation of carbon finance mechanism drives the optimization and upgrading of China's industrial structure to a more low-carbon, environmentally friendly and efficient mode at the provincial level. Under the new situation of global climate governance, carbon finance, as an innovative financial instrument and institutional arrangement, helps China's economy to develop in a green and sustainable way by guiding and allocating financial resources through the market mechanism. The project adopts provincial panel data analysis methods and double difference models to systematically examine the innovative practices of various carbon financial products (e.g., green credit, green bonds, carbon emissions trading, etc.) and their impacts on regional industrial structure. Specifically, we will explore how the carbon financial mechanism can effectively mobilize social capital to invest in the fields of clean energy, energy saving and consumption reduction, and circular economy, accelerating the development and growth of emerging industries; at the same time, we will analyze how it can act on the traditional high-carbon industries through price signals, motivate enterprises to increase technological research and development, reduce the intensity of carbon emissions, and promote the transformation and upgrading of traditional industries. In addition, the project will also assess the interaction between government carbon emission reduction policies and carbon financial mechanisms, as well as the differences and effectiveness of different provinces in using carbon financial tools to promote the optimization and upgrading of industrial structure, so as to provide strong data support and theoretical basis for the formulation of scientific and reasonable carbon financial policies and industrial restructuring strategies in various regions of China.

ABSTRACTThis paper examines the impact of digital transformation on the transformation and upgrading of China's manufacturing industry. Utilizing regression analysis, a two‐way fixed effects model, a mechanism analysis model, and a panel threshold model, the study explores how digital transformation enhances technological advancement and green innovation in China's manufacturing industry. The findings highlight heterogeneity across dimensions, regions, and industries, and reveal a nonlinear, increasing marginal effects of digital transformation on the transformation and upgrading of manufacturing industry. When digital transformation surpasses key thresholds (0.2770 for digital transformation, 0.4884 for technological level, and 8.9504 for green innovation), its positive impact is significantly amplified. This research provides a theoretical framework and empirical evidence to guide the manufacturing industry's strategic development for sustainable transformation and upgrading.

Whether a film can provide emotional value to meet the emotional needs of the audience has become an important criterion for the audience to choose and judge the film. This is the distinctive feature of the 2024 Film Summer Festival, which also reflects the profound structural changes that are taking place in the Chinese film market. China has accumulated useful experience in the distribution of films by different lines, and the continuous emergence of new directors has brought vitality and impetus to the high-quality and sustainable prosperity of the film industry. Many film creators are striving to step out of their creative comfort zone and bring more possibilities to domestic films with the expansion of subject matter types. New themes and new ways of expression have brought a new look to the development and upgrading of China’s film industry, and will also shape and influence the pattern of audiences.

With the transformation and upgrading of China's economic structure, the demand for high-quality applied talents in society is becoming increasingly urgent. However, the traditional undergraduate education model is difficult to meet the needs of the industry, and the reform of education and teaching is urgent. Taking Guangdong University of Technology as an example, this paper focuses on the construction of project-based curriculum system for applied undergraduate education under the background of industry-education integration, systematically analyzes the existing problems of the current curriculum system, and proposes a curriculum reform plan oriented by market demand, based on work process logic and students' cognitive laws. The research aims to improve students' practical and innovative abilities and promote the transformation of education and teaching models through theoretical construction, school-enterprise cooperation, resource matching and evaluation system optimization. The results show that the construction of project-based curriculum system can effectively promote the organic connection of education chain, talent chain and industry chain, and provide reference for the reform of applied undergraduate colleges.