China's auto industry: regimes of production and industrial policy in the age of electric cars

This article discusses China's industrial and labour policy for the automotive industry facing the transition to the era of new energy vehicles. A conceptual framework on the regimes of production is employed to analyse the present transformation of industry structures in production models and labour markets. The growth of private-capitalist regimes of high-performance, low wages, and high profit incentives for workers is identified, which can be described as the 'Foxconnisation' of the industry, and it is at the expense of the corporate-bureaucratic regimes prevalent among the leading Sino-foreign joint ventures. As production networks become vertically disintegrated, some non-traditional industrial players are highlighted in the discussion of some recent developments in the industry during the ongoing COVID-19 pandemic. The profound transformation in the regimes of production brought about social contradictions related to the production process, and new challenges and implications for workplace policies. The empirical study of this article confirms the necessity of trade union strategies inside China from an international perspective in order to ensure social standards and a more sustainable green transformation of the industry.

Investor sentiment and the Chinese new energy stock market: A risk–return perspective

The new energy industry is crucial for solving the problem of pollution, and its development requires support from the stock market. This paper proposes a Chinese investor sentiment index based on the Long Short-Term Memory (LSTM) deep learning method, and investigates the effect of investor sentiment on new energy stock returns as well as value at risks (VaR) behavior before and during COVID-19. It also compares these effects on traditional energy companies to identify differences between the new energy and traditional companies. The empirical results show that investor sentiment has significant effects on stock returns and VaR of both new and traditional energy companies but the effects are stronger in the new energy industry. The effects of investor sentiment have increased during COVID-19, and investors pay more attention on risks than returns during COVID-19. These results provide guidance for small and medium-sized investors in China to optimize their investment strategies and alleviate losses associated with extreme risks. © 2022 Elsevier Inc.

Commodity supply risk assessment of China's copper industrial chain: The perspective of trade network

With the rapid development of China's new energy industry, the consumption demand for copper resources is increasing. As a key raw material, copper resources are becoming increasingly important. Taking the demand for copper commodities in China's new energy development as the research background and the international trade environment and pattern of copper supply as the research perspective, this paper makes an overall assessment of the commodity supply risk of China's copper industrial chain from 2010 to 2021 using the complex network and the newly established three-dimensional risk assessment model and finally reaches the following conclusions. The supply risk of commodities in China's copper industrial chain has been rising continuously since 2019 after experiencing fluctuating development in the early stage and a continuous decline in recent years, and there may be a trend of continuing to rise. The supply risk of China's copper industrial chain was gradually reduced from upstream to midstream and downstream, and the supply risk of copper smelting was more severe. The disruption potential risk of China's copper industrial chain was relatively low, and the international import market structure of copper commodities was relatively reasonable. The supply risk characteristics of each link in China's copper industrial chain were different. Due to the influence of import dependence, the copper mining industry had a high risk of trade exposure. However, the smelting and copper processing industries had certain limitations in production management, operation management and technology research and development, and their ability to withstand risks was weak. In addition, the impact of the domestic COVID-19 epidemic ha caused a high industrial chain vulnerability risk. © 2023 Elsevier Ltd

Research on the promotion of new energy vehicles based on multi-source heterogeneous data: consumer and manufacturer perspectives.

Under the background of green development, new energy vehicles, as an important strategic emerging industry, play a crucial role in energy conservation and emission reduction. In the post-epidemic era, steadily promoting the promotion of new energy vehicles will be a hot topic. Based on multi-source heterogeneous data, combined with the latent Dirichlet allocation topic model, social network analysis, and econometric methods, this paper explores whether individual purchase decisions and company-level cooperative research and development will promote the promotion of new energy vehicles. The results show that whether it is battery electric vehicles, hybrid electric vehicles or plug-in hybrid electric vehicles, users are more concerned about space dimension, power performance, and design style. Patent collaboration network analysis indicates that new energy vehicle enterprises are establishing close partnerships, which will urge the promotion of new energy vehicles. An interesting test result found that for short-term innovation, new energy vehicles enterprises should invest more patent research and development in battery electric vehicles and hybrid electric vehicles models to better accelerate the promotion of new energy vehicles.

Connectedness between crude oil, coal, rare earth, new energy and technology markets: a GARCH-vine-copula-EVT analysis

In recent years, climate change has attracted great attention from governments and promoted the booming of the new energy market indirectly. However, this market will be influenced by traditional energy, rare earth and technology markets. Hence, it is necessary to incorporate these markets into an analytical framework simultaneously and analyse their relationships. Based on the GARCH-vine-copula-EVT model considering extreme risks, we investigate the connectedness between crude oil, coal, rare earth, new energy, and technology markets. The results show that the technology market is most closely associated with the new energy market;the rare earth market reacts as an intermediary market between the new energy market and fossil fuel markets. When taking the rare earth market as the conditional market, the connectedness between the new energy and the other four markets weakens and even becomes negative. Besides, we find that the COVID-19 epidemic has increased the connectedness between these target markets. Finally, the backtesting results of value at risk and expected shortfall show that the GARCH-vine-copula-EVT model considering extreme risks can depict the risk dependence structure between these target markets well. Our study has important reference significance for market participants, risk managers and investors.

Multi-Technology Driven R&D Cost Improvement Scheme and Application Utility of EESP in Energy-Intensive Manufacturing Industry

Facing the sustainable use of electric power resources, many countries in the world focus on the R&D investment and application of electrochemical energy storage projects (i.e., EESP). However, the high R&D cost of EESP has been hindering large-scale industrial promotion in the energy-intensive manufacturing industry represented by the tobacco industry. Reducing and controlling the R&D cost has become an urgent problem to be solved. In this context, this paper innovatively proposes a multi-technology driven R&D cost improvement scheme, which integrates WBS (i.e., Work Breakdown Structure), EVM (i.e., Earned Value Method), BD (i.e., Big Data), and ML (i.e., Machine Learning) methods. Especially, the influence of R&D cost improvement on EESP application performance is discussed through mathematical model analysis. The research indicates that reducing EESP R&D costs can significantly improve the stability of EESP power supply, and ultimately improve the application value of EESP in energy-intensive manufacturing industries. The R&D cost management scheme and technical method proposed in this paper have important theoretical guiding values and practical significance for accelerating the large-scale application of EESP.