Do government subsidies promote new-energy firms’ innovation? Evidence from dynamic and threshold models

Li, Qing; Wang, Maoqiong; Xiangli, Liuxu

doi:10.1016/j.jclepro.2020.124992

Cited by 68 publications

(43 citation statements)

References 78 publications

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“…Therefore, this paper conjectures that the moderating effect of the digital economy may have some nonlinear influence; that is, with the development level of the digital economy, the energy structure and carbon emissions show an inconsistent change. Referring to Li et al ( 2021a ), this paper constructs model (6): …”

Section: Model Construction and Variable Selectionmentioning

confidence: 99%

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Energy structure, digital economy, and carbon emissions: evidence from China

Yang

Ran

et al. 2021

Environ Sci Pollut Res

437

128

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As a new production factor, digitalization plays a vital role in society, economy, and the environment. Based on the expanded STIRPAT model, this paper empirically tests the impact of energy structure and digital economy on carbon emissions by panel data from 2011 to 2017 in 30 provinces of China. The results show that the energy structure mainly based on coal has a significant driving effect on carbon emissions. Compared with non-resource-based provinces, the increase of energy structure dominated by coal has a greater effect on carbon emission in resource-based provinces. It is worth noting that this kind of influence has a greater impact on the central region of China, followed by the western region and the eastern region. Besides, the digital economy has a significant moderating effect. With the development of digital economy, the impact of coal-based energy structure on carbon emissions is gradually decreasing. This effect is more significant in non-resource-based provinces and eastern China, but not significant in resource-based cities and central and western China.

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Section: Model Construction and Variable Selectionmentioning

confidence: 99%

“…(3) Per capita carbon emissions. Referring to Li et al (2021aLi et al ( , 2021b, per capita carbon emissions are measured by the ratio of total carbon dioxide emissions to the total population. As we have analyzed, the regional heterogeneity characteristics of energy structure on carbon emissions in Sect.…”

Section: Variable Selectionmentioning

confidence: 99%

Energy structure, digital economy, and carbon emissions: evidence from China

Yang

Ran

et al. 2021

Environ Sci Pollut Res

437

128

View full text Add to dashboard Cite

show abstract

“…With a panel data of manufacturing enterprises in China, Gao et al [34] find that both central and local R&D subsidies policies are successful in promoting enterprises' exploratory innovation. With a panel data of renewable energy enterprises in China, Wu et al [35] find that government R&D subsidies can significantly increase renewable energy investment, and Li et al [36] find that it can also stimulate renewable energy innovation at certain intervals.…”

Section: Literature Review and Researchmentioning

confidence: 99%

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

Jiang

Liu

Zhu

et al. 2021

Discrete Dynamics in Nature and Society

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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.

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“…Some scholars point out that tax exemption policies lead to intense competition because of their wide range and argue that they have a threshold effect on innovation outcomes [49]. This reflects the idea that in pursuit of better ease of use and practicality, the formulation of the policy content needs to be targeted, meaning that different types of enterprises' absorptive capacity for preferential policies, as well as enterprises' actual capacity and demand, should be considered in the policy formulation process [50]. Other scholars point out that there are pressure-driven, information-driven, design-driven, and knowledge-driven antecedent factors in an enterprise's response to a policy, and that the evaluation of an enterprise's innovation policy and policy perception belongs to the category of information-driven factors [20].…”

Section: Policy Perceptions Entrepreneurs' Responsive Preferences And...mentioning

confidence: 99%

The Role of Policy Perceptions and Entrepreneurs’ Preferences in Firms’ Response to Industry 4.0: The Case of Chinese Firms

Qiu

Tao

2021

Sustainability

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Favorable policy implementation results are due not only to policy makers’ abilities but also to the behavior of those responding to the policies. For example, a CEO’s understanding of a government policy’s content and his or her willingness to respond to it, based on the expectation of profits, plays a vital role. To understand the relationship between how policies are perceived and how enterprises behave in response to innovation policies in the era of the 4th Industrial Revolution (Industry 4.0), in this study, we use structural equation modeling to investigate the roles of various factors and examine the response mechanisms in enterprises through which entrepreneurs react to Industry 4.0 innovation policies. The hypothesized model is validated empirically using a sample collected from 337 domestic Chinese high-tech firms. The modeling results indicate that positive perceptions of policies have a positive effect on entrepreneurs’ preferences which, in turn, motivate positive behavior toward innovation. Moreover, testing the model showed partial and complete mediation effects, indicating that the perceived practicability of a policy is a factor with a strong impact on response behavior that sometimes exerts its influence by altering the mediator of entrepreneurs’ responsive preferences. The empirical results and management implications of this study can serve as a reference for the effective implementation of and response to government development plans.

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Do government subsidies promote new-energy firms’ innovation? Evidence from dynamic and threshold models

Cited by 68 publications

References 78 publications

Energy structure, digital economy, and carbon emissions: evidence from China

Energy structure, digital economy, and carbon emissions: evidence from China

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

The Role of Policy Perceptions and Entrepreneurs’ Preferences in Firms’ Response to Industry 4.0: The Case of Chinese Firms

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