Trade policy uncertainty and corporate innovation evidence from Chinese listed firms in new energy vehicle industry

Shen, Huayu; Hou, Fei

doi:10.1016/j.eneco.2021.105217

Cited by 72 publications

(32 citation statements)

References 53 publications

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“…To effectively alleviate the endogenous problem caused by two-way causality, this paper uses the method of Shen et al [ 57 ] for reference and uses the two-stage least square method for testing. From the perspective of the development process of China’s digital economy, the internet was accessed through telephone lines, and areas with high penetration of fixed-line telephones are likely to have high penetration of the internet.…”

Section: Robustness Testmentioning

confidence: 99%

Has the Digital Economy Reduced Carbon Emissions?: Analysis Based on Panel Data of 278 Cities in China

Zhou

Liu

Zhu

2022

IJERPH

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China is undergoing an urbanization process at an unprecedented scale, and low-carbon urban development is of great significance to the completion of the “dual carbon goals”. At the same time, the digital economy has become an important engine for urban development, and its role in environmental improvement has become increasingly prominent. While the digital economy is booming, can it promote the low-carbon development of cities? Based on the panel data of 278 cities in China from 2011 to 2019, this paper discusses the impact of the digital economy on carbon emissions and the long-term development trend between the digital economy and carbon emissions, the impact of differences in the development level of the digital economy on carbon emissions reduction, and the impact of green energy efficiency in the relationship between the digital economy and carbon emissions. The results show that the digital economy has a significant inhibitory effect on carbon emissions, and with the development of the digital economy, more and more cities show an absolute decoupling of the digital economy and carbon emissions and are turning to low-carbon development. The development level of the digital economy has a heterogeneous impact on carbon emissions. With the improvement of the development level of the digital economy, the effect on emission reduction is more significant. As a threshold variable, green energy efficiency affects the relationship between digital economy and carbon emissions. When green energy efficiency is low, the digital economy promotes carbon emissions, and when green energy efficiency is high, the digital economy reduces carbon emissions.

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Section: Robustness Testmentioning

confidence: 99%

Has the Digital Economy Reduced Carbon Emissions?: Analysis Based on Panel Data of 278 Cities in China

Zhou

Liu

Zhu

2022

IJERPH

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“…The main contributions of this paper are the following: First, we extended the literature on the impact of policy uncertainty on enterprise innovation. Most previous studies have explored the impact of economic and trade policy uncertainty on enterprises’ traditional innovations [ 42 , 59 , 60 , 61 ]. There needs to be more literature on policy uncertainty in GI.…”

Section: Discussionmentioning

confidence: 99%

How Does Climate Policy Uncertainty Affect Green Innovation? Evidence from China

Mao

Huang

2022

IJERPH

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In response to climate change, governments have adopted various climate policies. However, climate policy uncertainty (CPU) may have important implications for the business sector. Is enterprise green innovation (GI) affected by CPU? This study investigates the impact of CPU on enterprise GI. The China CPU index is created first in this study. It uses panel data from Chinese A-share listed companies in China from 2010 to 2021 to explore the impact of CPU on GI through the fixed effects model, the mediating effects model, and the moderating effects model. The results show that: (1) CPU significantly suppresses GI, according to the findings. (2) CPU inhibits enterprise GI by exacerbating enterprise financing constraints. (3) Government subsidies can mitigate the inhibiting effect of CPU on GI. (4) There is heterogeneity in the negative impact of CPU on enterprise GI, mainly on non-state-owned enterprises. This study suggests several recommendations for coping with CPU in China.

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“…Referring to Gotti et al [47], and Shen and Hou [48], managerial ownership (MO) is equal to the number of shares held by the management divided by the total number of shares. Referring to prior research [46,49] on state-owned enterprises (SOEs), we determined the nature of the enterprise according to the nature of the ultimate controller, with a value of 1 for SOEs and 0 for non-SOEs.…”

Section: Moderating Variablesmentioning

confidence: 99%

“…Following prior studies [46,48], we selected the following variables as control variables: leverage ratio (LEV), corporate size (SIZE), sales revenue growth rate (SALGRO), return on total assets (ROA), the shareholding ratio of the largest shareholder (TOP1), the ratio of independent directors (IDRATIO), and board size (BODSIZE). The leverage ratio (LEV) is the total liabilities divided by the total assets.…”

Section: Control Variablesmentioning

confidence: 99%

“…Referring to the research method of Shen and Hou [48], we sum up the number of green invention patents and green utility model patents to construct a new variable EI_ Total, which is used to measure the enterprise eco-innovation. Table 6 shows the robustness test results after changing the eco-innovation measurement method.…”

Section: Robustness Check Using Alternative Dependent Measurementmentioning

confidence: 99%

See 1 more Smart Citation

The government-business relationship and eco-innovation: evidence from chinese automobile industry

Gao

Teng

Cai

et al. 2021

Ecological Chemistry and Engineering S

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This study used 2017-2019 Chinese A-share-listed automobile manufacturing companies as research samples to analyse the impact of the government-business relationship on eco-innovation. We found that a healthy government-business relationship had a positive impact on enterprise eco-innovation. The mediating effects test verified that a healthy government-business relationship affected enterprise eco-innovation through financing constraints. In addition, managerial ownership significantly increased the positive impact of a healthy government-business relationship on enterprise eco-innovation. We also found that a healthy government-business relationship had a more substantial impact on enterprise eco-innovation in non-state-owned enterprises when considering corporate property rights. The study results provide empirical evidence for the influence of the government-business relationship on enterprise eco-innovation and deepen our understanding of eco-innovation in China’s automobile manufacturing industry.

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Trade policy uncertainty and corporate innovation evidence from Chinese listed firms in new energy vehicle industry

Cited by 72 publications

References 53 publications

Has the Digital Economy Reduced Carbon Emissions?: Analysis Based on Panel Data of 278 Cities in China

Has the Digital Economy Reduced Carbon Emissions?: Analysis Based on Panel Data of 278 Cities in China

How Does Climate Policy Uncertainty Affect Green Innovation? Evidence from China

The government-business relationship and eco-innovation: evidence from chinese automobile industry

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