scholarly journals The Effectiveness of Government Subsidies on Manufacturing Innovation: Evidence from the New Energy Vehicle Industry in China

2018 ◽  
Vol 10 (6) ◽  
pp. 1692 ◽  
Author(s):  
Cailou Jiang ◽  
Ying Zhang ◽  
Maoliang Bu ◽  
Weishu Liu
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.


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.


2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tang Daifen

PurposeUnder the big data background, there are many influencing factors for investors of new energy vehicles (NEV), and government subsidies promote the sustainable development of the new energy vehicle industry. Therefore, the purpose of the study is to provide solutions for the sustainable development of NEV.Design/methodology/approachThe sustainable marketing strategy of NEV in China is put forward. This paper first analyzes the subsidy policy effect of NEV under the background of big data. It then establishes the online optimal leasing strategy under multiple strategy choices and the online leasing strategy of multiple vehicles under the inflation market.FindingsWith the fixed cost of NEV in each lease period, the optimal competition ratio of online decision-makers will continue to decrease with the increase of the difference between prepaid funds and government subsidies. In the decision-making of renting and purchasing multiple vehicles, the general strategy competition ratio is 2.922, while the optimal competition ratio of the online renting and purchasing strategy proposed by the research is 2.723.Research limitations/implicationsThe research is limited by the limited data and information collected, so the optimal decision-making model has some limitations. The authors need to find more representative data to optimize the model.Practical implicationsAs an emerging industry, NEV have developed rapidly in recent years. Based on the online algorithm and competitive ratio theory, this paper solves the decision-making problem of operators and gives the optimal strategy to promote the green development of the new energy vehicle industry.Originality/valueThis paper proposes the optimal strategy for online investors of new energy vehicle operators by combining online algorithm and competitive ratio theory. The numerical analysis results of the optimal online model under multi strategy selection show that with the same difference between prepaid funds and government subsidies, the time point will be delayed and the time point will be advanced as the cost of leasing NEV in each period increases.


2020 ◽  
Vol 12 (16) ◽  
pp. 6652 ◽  
Author(s):  
Hui Wan ◽  
Jens Mathis Rieckmann ◽  
Qianqian Zhang ◽  
Qiao Ping

The development of the new energy automobile industry is crucial to the industrial structure upgrading of the manufacturing industry in developing countries. The more efficient service derivation of new energy vehicles needs to be considered from the perspective of manufacturing innovation. This article discusses the feasibility of applying the theory of Teoriya Resheniya Izobretatelskikh Zadatch (TRIZ) to the service derivative of new energy vehicles and forms a preliminary idea according to the characteristics of the service derivative of the manufacturing industry. By using the analysis tool and solution of TRIZ, this paper investigates the practical problem in developing the new energy vehicle market to verify a solution. The research shows that TRIZ can effectively generate new energy automobile manufacturing service derivative schemes and explore the service derivative path.


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