Influence of Dual-Credit Policy on the R&D Cooperation Mode of Chinese Auto Industry

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Abstract

The dual-credit policy is regarded as an important measure in the postsubsidy era of energy conservation and emission reduction in the auto industry and is concerned with all aspects of society. In this paper, a research and development cooperation model of the duopoly supply chain between suppliers and manufacturers in the automotive industry is constructed, and the influence of the double integral policy on the research and development cooperation between suppliers and manufacturers in the automotive industry is discussed based on the power perspective theory in the supply chain. The results show that cooperation is more effective than noncooperation in promoting both parties' R&D investment in fuel economy, as well as the fuel economy of the final product. The government should encourage R&D cooperation in the upstream and downstream of the supply chain of the automotive industry. The influence on the R&D cooperation between the supplier and the manufacturer was the combined effect of fuel consumption saving. The government's intention to formulate a dual-credit policy to guide the R&D cooperation behavior in the auto industry supply chain should consider not only the impact of credit unit price but also the public' consciousness of fuel saving and environmental protection. The combined effect of fuel consumption saving on the R&D cooperation led by different powers, which meant that the government was aiming to encourage R&D cooperation, should consider different situations in the auto industry supply chain to formulate the dual-credit policy to adjust the supply and demand relationship of the dual-credit policy to affect the credit unit price, thus affecting the combined effect of fuel consumption saving, encouraging R&D cooperation in the auto industry supply chain, and realizing energy conservation and emission reduction.

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APA

He, Q., & Zhao, H. (2022). Influence of Dual-Credit Policy on the R&D Cooperation Mode of Chinese Auto Industry. Mathematical Problems in Engineering, 2022. https://doi.org/10.1155/2022/2397652

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