The Impact of Purchase Subsidy on Enterprises’ R&amp;D Efforts: Evidence from China’s New Energy Vehicle Industry

Jiang, Cailou; Zhang, Ying; Zhao, Qun; Wu, Chong

doi:10.3390/su12031105

Cited by 15 publications

(12 citation statements)

References 45 publications

(51 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Table 6, the results of PV enterprises without state-owned shares are shown in column (9), and the results of PV enterprises with state-owned shares are shown in column (10). e results indicate that the coefficients of RDSub and NRDSub are both positively significant in column ( 9), but both are insignificant in column (10). is implies that given a certain amount of GSs, PV enterprises without stateowned shares are more willing to carry out R&D activities.…”

Section: Heterogeneity Analysismentioning

confidence: 96%

“…In China, the state-owned shares may influence enterprises' willingness to input in innovation activities [45,46]. In Table 6, the results of PV enterprises without state-owned shares are shown in column (9), and the results of PV enterprises with state-owned shares are shown in column (10). e results indicate that the coefficients of RDSub and NRDSub are both positively significant in column ( 9), but both are insignificant in column (10).…”

Section: Heterogeneity Analysismentioning

confidence: 99%

“…Since the environmental benefits and knowledge creation cannot be fully redeemed by the market, technological innovation in PV enterprises will encounter the "double externality problem" [8,9]. As a result, PV enterprises will underinvest in R&D activities, which make GSs necessary to fill the investment gap [8,10]. Due to the government's strong desire in developing strategic emerging industries in China, generous subsidies have been granted to PV enterprises and have triggered a marked increase in PV electricity production.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Government Subsidies and Enterprise Innovation: Evidence from China's Photovoltaic Industry

Jiang

Liu

Zhu

et al. 2021

Discrete Dynamics in Nature and Society

Self Cite

View full text Add to dashboard Cite

Government subsidies (GSs) have triggered a remarkable increase in the production capacity of photovoltaic (PV) electricity in China. However, the lack of core technologies has limited PV enterprises’ competitiveness in the global market. This research investigates the impacts of R&D subsidies and non-R&D subsidies on the innovation in PV enterprises. With samples of Chinese listed PV enterprises from 2010 to 2019, this study finds R&D subsidies exert a notable positive impact on the innovation in PV enterprises. In small and medium enterprises (SMEs) and enterprises without state-owned shares, both R&D subsidies and non-R&D subsidies have positive impacts on the innovation. Considering the policy orientation, R&D subsidies granted under demand-orientation policies promote the innovation in PV enterprises. The government should increase the amount of R&D subsidies, optimize the R&D subsidies’ evaluation mechanism, and reasonably grant R&D subsidies from the demand side.

show abstract

Section: Heterogeneity Analysismentioning

confidence: 96%

Section: Heterogeneity Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Government Subsidies and Enterprise Innovation: Evidence from China's Photovoltaic Industry

Jiang

Liu

Zhu

et al. 2021

Discrete Dynamics in Nature and Society

Self Cite

View full text Add to dashboard Cite

show abstract

“…ese results may be achieved through two paths formed by corporate profit and financing constraints. Corporate profit (Profit) is an important indicator of profitability, which may provide favorable material conditions for the innovative behavior of NEV enterprises [27]. is study expresses corporate profit in terms of net profit.…”

Section: Intermediate Variablesmentioning

confidence: 99%

The Signal Effect of New Energy Vehicles Promotion on Enterprise Innovation

Wang

Jiang

2021

Complexity

Self Cite

View full text Add to dashboard Cite

Entering the promotion catalogue is the basis for China’s new energy vehicle (NEV) enterprises to obtain promotion subsidies. Using a multistage difference-in-differences (DID) model with a sample of listed NEV enterprises in China from 2008 to 2017, this paper empirically analyzes the impact of entering the promotion catalogue on the innovation of NEV enterprises. The results indicate that entering the promotion catalogue can significantly promote innovation of NEV enterprises from the perspective of radical innovation, incremental innovation, and external technology introduction of NEV enterprises. In the mediation mechanism examination, this study finds that entering the promotion catalogue promotes innovation in NEV enterprises by increasing corporate profits and easing financing constraints. Based on the conclusions above, this paper recommends to strengthen core technology breakthrough of NEVs, cultivate market demand of NEVs industry, and improve subsidy supervision system of NEVs.

show abstract

“…At the same time, they have attracted a significant amount of attention from governments and many automobile manufacturers. [5]- [9] The automatic charging of electric vehicles has developed rapidly along with the maturity of autonomous driving and automatic parking technologies [10]. At present, the use of robot plugging is the main solution for carrying out automatic charging of electric vehicles.…”

Section: Introductionmentioning

confidence: 99%

Research on Fast Identification and Location of Contour Features of Electric Vehicle Charging Port in Complex Scenes

et al. 2022

View full text Add to dashboard Cite

The maturity of automatic driving and parking technologies is gradually driving electric vehicle charging toward automation. The primary condition of automatic charging that has a high significance is the identification of electric vehicle charging ports. This research proposes an automatic system for the identification and positioning of charging ports of electric vehicles. The system is mainly divided into rough and precise positioning. The former is based on the Hough circle and the Hough line, and locates the position information of the charging port. The latter uses the Canny operator to obtain the contour information of the original and gradient images respectively. All the contours of the two images are fitted into ellipses by the quadratic curve standardization (QCS) method, and irrelevant ellipses are screened out. Finally, the perspective-n-point (PNP) algorithm is used to locate the pose information of the charging port. The aubo-i10 6-DOF articulated robot is used to test the recognition and insertion accuracies in different environments. The results show that the average recognition rate of rough positioning is 97.9%, the average displacement error of precise positioning in X, Y and Z directions are 0.60, 0.83 and 1.23mm, respectively, and the average angle errors in RX, RY and RZ directions are 1.19, 0.97 and 0.50 degrees, respectively. The average success rate is 94.8%. These results demonstrate that the proposed system meets the basic plug-in requirements of electric vehicle charging ports. INDEX TERMSAutomatic charging, electric vehicle charging port, pose estimation, monocular vision, non-cooperative characteristics P. Quan et al.: Research on Fast Identification and Location of Contour Features of Electric Vehicle Charging Port in Complex Scenes PENGKUN QUAN received the B.S. degree in mechanical engineering from the Tianjin Agricultural University, Tianjin, China, in 2017, and the M.D. degree in Agricultural Engineering from the Northwest A&F University, Xianyang, China, in 2019. He is currently pursuing the Ph.D. degree in mechanical engineering with the Harbin Institute of Technology, Harbin, China.He has published over 4 articles and won the first prize of China graduate electronic design competition in 2018. His current research interests include computer vision and cable-driven auto-charging robot for electric vehicles.

show abstract

The Impact of Purchase Subsidy on Enterprises’ R&D Efforts: Evidence from China’s New Energy Vehicle Industry

Cited by 15 publications

References 45 publications

Government Subsidies and Enterprise Innovation: Evidence from China's Photovoltaic Industry

Government Subsidies and Enterprise Innovation: Evidence from China's Photovoltaic Industry

The Signal Effect of New Energy Vehicles Promotion on Enterprise Innovation

Research on Fast Identification and Location of Contour Features of Electric Vehicle Charging Port in Complex Scenes

Contact Info

Product

Resources

About