scholarly journals Government subsidies and corporate innovation performance- Based on the empirical analysis of the new energy automobile industry

2020 ◽  
Vol 214 ◽  
pp. 01006
Author(s):  
Wu Xiaoman ◽  
Wu Shiqi

This paper selects 112 listed companies in China’s a-share new energy vehicle sector from 2009 to 2018 as a research sample, and uses panel data regression analysis models to empirically test the effects of government subsidies on corporate R&D investment and corporate innovation performance. It shows that government subsidies have a significant promotion effect on enterprises R&D investment; government subsidies have a significant inhibition effect on enterprises’ innovation performance.

2021 ◽  
Vol 235 ◽  
pp. 01002
Author(s):  
Xiaohua Mao

In recent years, in order to promote the independent development of the new energy vehicle industry, Chinese government has decided to reduce the consumption subsidies for new energy vehicles until the subsidies are completely withdrawn. The reduction of consumption subsidy has a great impact on the production and sales of new energy vehicles in the whole vehicle market. However, does the reduction of this subsidy also have an impact on other enterprises in the new energy vehicles industry chain? This paper tests this problem using data from 2016 to 2018, and finds, through empirical analysis, that during the period of subsidy decline, the profitability of component enterprises is significantly positively correlated with this subsidies, while the r&d investment of enterprises is significantly negatively correlated with this subsidies. The results show that in terms of profitability, the reduction of consumer subsidies not only has an impact on the whole vehicle industry of new energy vehicles, but also has an adverse impact on the core component companies in the industrial chain. However, in terms of r&d, the reduction of subsidies has more negatively strengthened the input and attention of R&D in component companies.


2021 ◽  
Author(s):  
Sha Zhang ◽  
Fang Chen

Abstract The new energy vehicle enterprises is a strategic emerging industry in China, so more and more government subsidies to promote innovative development are being accepted by new energy vehicle enterprises. What is the innovation efficiency of new energy vehicle enterprises receiving government subsidies? With the acceleration of the process of global economic financialization, whether financial support can promote the innovation efficiency of government subsidies and how enterprises should allocate financial assets have become issues that need to be deeply considered. Based on the annual report data of China's domestic listed new energy vehicle enterprises from 2015 to 2020, the relationship between government subsidies and enterprise innovation efficiency is empirically tested, and the impact of financial support on enterprise R&D innovation efficiency is investigated. The empirical results show that government subsidies are wasteful and fail to effectively promote R&D innovation, and the innovation efficiency of government subsidies is positively influenced by firm nature and firm age, while the total asset turnover ratio, operating cycle and firm size have a negative impact on innovation efficiency. Further research found that there is an inverted U-shaped relationship between financial support and the innovation efficiency of government subsidies. A certain degree of financial support has a positive impact on the innovation efficiency of government subsidies, but excessive financial support has a negative impact on the innovation efficiency of government subsidies. The conclusion provides empirical evidence for the Chinese government to improve the subsidy policy and standardize the development of new energy vehicle enterprises, and has a certain reference value for guiding new energy vehicle enterprises to reasonably allocate financial support.


2021 ◽  
Vol 251 ◽  
pp. 01091
Author(s):  
Zou Dewei

With the increasing pressure on the ecological environment, the continuous progress of science and technology and the government’s policy support for the new energy industry, the development momentum of China’s new energy automobile industry is strong. However, the emerging industry still faces major obstacles in terms of technological innovation, standard-setting and marketization. In the face of these obstacles, industrial alliances, as an organizational form, have been widely used in the new energy vehicle industry in order to seek the risk sharing and cooperation effect of alliances. In this paper, on the basis of identifying the members of China’s new energy automobile industry alliance and based on the classification theory of industrial alliance, China’s new energy automobile industry alliance is divided into horizontal alliance and vertical alliance. In addition, this paper adopts the method of case study to put forward reasonable suggestions for the shortcomings existing in the development status of China’s new energy vehicle industry alliance, so as to promote the technological innovation of the industry alliance.


Symmetry ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 143
Author(s):  
Guoxin Liu ◽  
Shuqin Fan ◽  
Yan Tu ◽  
Guangjie Wang

In the context of Chinese innovation-driven strategy, the role of suppliers has been attracting much attention. Since not every supplier can contribute to the buyer’s innovation, scientifically selecting an innovative supplier is highly valued by decision-makers from the new energy vehicle (NEV) manufacturers. This paper focuses on proposing a novel decision framework in the context of collaborative innovation, which helps NEV manufacturers to select an innovative supplier who can work hand in hand with them to enhance their innovation performance. First, a novel capability-willingness-risk (C-W-R) evaluation indicator system is established, considering supply risk from a multi-proximity perspective which is tightly tied to collaborative innovation performance, only considered from geographical proximity in previous supplier selection research. Then a hybrid fuzzy-symmetrical multicriteria decision-making (MCDM) model is proposed that integrates fuzzy linguistic sets, best–worst method (BWM), prospect theory (PT) and VIKOR. With this approach, a final ranking is obtained for innovative supplier selection by NEV manufacturers in China. Moreover, sensitivity analysis and comparison analysis illustrate the proposed decision framework’s effectiveness and reliability and dig deep into the buyer−supplier collaborative innovation. Finally, some managerial suggestions are given for supplier selection from the standpoint of NEV manufacturers.


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