Government Subsidies, R&D Investment and Innovation Performance of AI Companies—Based on CAS Theory

2019 ◽  
Vol 09 (03) ◽  
pp. 414-424
Author(s):  
颜 蔡
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 ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dongyun Zhu ◽  
Bingfen Xu

Purpose This study aims to measure the moderating effect of geographical and organizational proximity by focusing on readily available Chinese regional economic data over a five-year period. Design/methodology/approach The authors used multilevel regression analysis to analyze the relationship. Findings Results show that increasing government investment in research and development (R&D) can improve innovation performance during this period, organizational proximity and geographic proximity have a positive moderate effect on the relationship between R&D investment and Innovation performance. Originality/value This study enriches the existing theories on government innovation input and output from the perspective of regional differences and provides meaningful guidance for current Chinese regional innovation policies.


2020 ◽  
Vol 12 (15) ◽  
pp. 6155
Author(s):  
Jiajia Hao ◽  
Chunling Li ◽  
Runsen Yuan ◽  
Masood Ahmed ◽  
Muhammad Asif Khan ◽  
...  

The purpose of innovation is to consume fewer natural resources in order to create sustainable performance; therefore, innovation can ease the pressure of the ecological load and promote the sustainable development of the economy. Taking the 269 enterprises listed on the main board of the electronic information industry from 2010 to 2019 as samples, using the threshold panel data model, the nonlinear relationship between the knowledge-based network structure hole and the short-term and long-term innovation performance of the enterprises were studied, and the threshold effect of R&D investment intensity was discussed. When the R&D investment intensity is from 1.96% to 15.96%, the knowledge-based network structure hole has a significant positive impact on short-term innovation performance. When the R&D investment intensity is from 5.72% to 10.64%, the knowledge-based network structure hole has a significant positive effect on long-term innovation performance. Lower R&D investment intensity can make the knowledge-based network structure hole promote the increase of short term innovation performance, but to make the knowledge-based network structure hole have a positive impact on long term innovation performance, the R&D investment intensity should be increased by more than 5.72%. When R&D investment intensity is not higher than 15.96%, the knowledge-based network structure hole has a significant positive impact on short term innovation performance, but to make the knowledge-based network structure hole maintain the positive effect on long term innovation performance, R&D investment intensity should not exceed 10.64%. Therefore, enterprises should be guided to optimize the knowledge-based network structure according to the R&D investment intensity in order to improve the short term and long-term innovation performance of an enterprise. These research results can help enterprises to save resources and promote the sustainable development of the economy.


2020 ◽  
Vol 2020 ◽  
pp. 1-21
Author(s):  
Jinglve Wang ◽  
Guohua Zhou

In contrast to the econometric models that have been commonly used throughout a large portion of the literature, we develop six game-theoretic models to analyze governmental subsidy strategies in different market environments and to investigate the question of whether government subsidies crowd in or crowd out private investment in R&D activities. Based on realistic situations, we classify governmental subsidy strategies into three types, namely, no subsidy provided, subsidies provided based on the price of the end products, and subsidies provided based on the cost of R&D. In addition, according to whether competition exists in the market, we classify markets into monopoly markets and duopoly markets. Our research shows (a) that the relationship between government subsidies and private R&D investment is deeply impacted by the form of the subsidies used; (b) that the characteristic value of the R&D project and the competitive environment of the market are the two key factors that should be considered when governments decide which form of subsidy to employ; and (c) the optimal amount for each type of subsidy.


2016 ◽  
Vol 17 (27) ◽  
pp. 185
Author(s):  
Jorge Juliao Rossi ◽  
Julia Pineda Acero ◽  
Fernando Barrios Aguirre

<p>Resumen</p><p>Esta investigación contrasta los determinantes del esfuerzo innovador y del conteo de patentes de sectores industriales de una economía emergente. En muchos estudios se tiende a considerar el gasto en I&amp;D y el conteo de patentes como indicadores de desempeño innovador. Sin embargo, el presente trabajo prueba que el esfuerzo innovador y el registro de patentes son dos comportamientos diferentes, no directamente relacionados y sin los mismos determinantes. Se usan datos provenientes de la tercera encuesta de desarrollo e innovación tecnológica (DANE–DNP–COLCIENCIAS). Los resultados sugieren que las condiciones del desarrollo tecnológico e institucional de Colombia se reflejan en relaciones entre determinantes y los dos indicadores de desempeño innovador, distintas de las que se observan en países industrializados.</p><p>Abstract<strong> </strong></p><p>In this research are contrasted the determinants of R&amp;D investment and patent count of industries belonging to an emerging country. In many studies is common to consider indistinctly these indicators as a proxy of innovation performance. However, this research shows that R&amp;D investment and patent count are two different behavior: these don not have necessarily a direct relationship and the same determinants. It was used de data provided for third survey of Innovation and Technology Development (in forward EDIT) (DANE–DNP–COLCIENCIAS). The results obtained suggest that the institutional and technological conditions of Colombia are reflected in some relationships between innovation determinants and both innovation performance indicators used different from that observed in industrialized countries.</p>


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