Research on Environmental Information Disclosure Mechanism and Development Status of Automobile Enterprises in China

Firstly analyzed the progress of environmental information disclosure at home and abroad, and elaborated on the shortcomings of environmental information disclosure in China. Secondly, based on foreign information disclosure experience and the actual development of China’s development of the automobile industry, an environmental information disclosure system for the Chinese automobile industry based on the participation of multiple entities is proposed. Finally, by setting indicators for the whole life cycle, the environmental information disclosure of automobile companies is analyzed from different angles.

The Role Of Strategic Orientation In Export Performance Of China Automobile Industry

During the last four years, the China automobile industry experienced a 49% drop in sales in the domestic and international markets. Company owners and the Government of China are exploring factors which could help them overcome the issues relating to sale, reputation, and brand image. Nonetheless, the investigation of company export performance factors in the automobile sector of China has largely been ignored. However, authors of this chapter conducted a literature review on factors of firm export performance. Therefore, the conceptual framework has found the factors of firm export performance such as total quality management (TQM), entrepreneurial orientation (EO), export market orientation (EMO), and brand orientation (BO) based on resource-based theory. This research believes that the proposed factors can increase the firm export performance of China automobile industry. The future studies should validate the proposed research framework empirically in the context of the Chinese automobile industry.

Circular business models generation for automobile remanufacturing industry in China

Purpose Although China can be considered an early adopter of the circular economy, there are few studies of remanufacturing business models (BMs) in the context of the Chinese automobile industry. The purpose of this paper is to investigate viable BMs, summarizes current obstacles and anticipates future development opportunities and directions. Design/methodology/approach The cross-case analysis considers the roles of value networks and of customer value proposition and interface in circular business models (CBMs) by examining the strategies and tactical measures of two leading remanufacturers. The data are collected from semi-structured interviews, documents, etc. Findings The analysis identifies the following components of viable BMs of remanufacturers: reclaiming raw material, managing used components, producing new products and marketing. Several current obstacles are summarized from four perspectives: policy barriers and insufficient government support; consumer awareness; related product quality; and technology. The study also identifies future directions and opportunities for the automobile parts remanufacturing industry. Originality/value This study contributes to the CBM literature by mapping the barriers and opportunities in remanufacturing. The results have shed some light into the field of sustainability in manufacturing firms by empirically testing the theoretical model. The results will help managers to design viable CBMs in different contexts.

Prediction of global value chain based on cognitive neural network -Take Chinese automobile industry as an example

Cognitive artificial neural network is a hot research field which is an important part of human intelligence research. In recent years, artificial neural network has been used in the fields of neuroscience, computer science, cognitive science, mathematics and physics. With the Chinese automobile industry as the research object, the global value chain as the research tool, and the promotion of Chinese automobile industry cluster as the research objective, This paper deals with information processing by simulating neural activity in the brain according to the cognitive artificial neural network to study the upgrading of Chinese automobile industry cluster, and puts forward the related suggestion on the upgrading of Chinese automobile industry cluster. This study believes that in order to promote the upgrading of Chinese automobile industry cluster, it’s essential to promote the independent innovation of enterprises in the cluster and indispensable to strengthen government support, which has certain guiding significance to the development of Chinese automobile industry cluster.