Does green innovation suppress carbon emission intensity? New evidence from China

Liu, Jinli; Duan, Yuxin; Zhong, Shen

doi:10.1007/s11356-022-21621-z

Cited by 41 publications

(21 citation statements)

References 58 publications

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“…Carbon emission intensity ( CEI ) is measured by the amount of regional carbon dioxide emissions per unit of GDP, which indicates the degree of damage to the environment [ 43 ]. In the domain of environmental sustainability, numerous scholars have discussed the strong link between environmental sustainability and carbon dioxide emissions [ 22 , 23 , 24 ].…”

Section: Methodology and Datamentioning

confidence: 99%

“…In addition, other economic factors are also proven to have a significant impact on carbon dioxide emissions and environmental sustainability, including urbanization [ 28 , 29 ], financial development [ 30 , 31 ], foreign direct investment [ 32 , 33 ], trade [ 34 , 35 ], renewable energy consumption [ 36 , 37 ], and so on. In recent years, there has been a growing awareness of noneconomic factors on environmental sustainability, including environmental regulation [ 38 , 39 ], climate factors [ 40 ], research and development level [ 41 ], innovation factors [ 42 , 43 ], and technological progress [ 44 , 45 ].…”

Section: Literature Reviewmentioning

confidence: 99%

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Moving towards Environmental Sustainability: Can Digital Economy Reduce Environmental Degradation in China?

Zhong

Shen

Niu

et al. 2022

IJERPH

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In the context of environmental sustainability and accelerated digital technology development, China attaches great importance to the prominent role of digital economy in addressing environmental degradation. Utilizing Chinese provincial panel data from 2011 to 2019, this study investigates whether the digital economy can improve China’s environmental sustainability proxy by reducing carbon emission intensity. Based on the fixed effects model, the findings reveal that the digital economy has a significant negative effect on carbon emission intensity and the conclusion remains robust after conducting several robustness checks. However, this impact shows regional heterogeneity, which is more effective in resource-based eastern regions and the Belt and Road provinces. Moreover, mediating effect analyses indicate that the transmission mechanisms are energy consumption structure, total factor energy productivity, and green technology innovation. Furthermore, the results based on the spatial Durbin model (SDM) demonstrate that digital economy development has a significant spatial spillover effect. Finally, on the basis of results analysis and discussion, policy recommendations are provided for achieving environmental sustainability.

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Section: Methodology and Datamentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Moving towards Environmental Sustainability: Can Digital Economy Reduce Environmental Degradation in China?

Zhong

Shen

Niu

et al. 2022

IJERPH

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“…Some scholars used other econometric methods to study, such as the long short-term memory (LSTM) approach (Mele and Magazzino, 2020), machine learning approach (Magazzino et al, 2021;Magazzino and Mele, 2022), logarithmic mean division index (LMDI) decomposition method (Zhou et al, 2019), propensity score matching and differences-in-differences (PSM-DID) (Zhou et al, 2019), quantile regression method (Cheng et al, 2022;Liu et al, 2022), input-output method (Liu and Zhao, 2021), partial equilibrium model (Yu et al, 2022), autoregressive distributed lag models (ARDL) (Wang, 2022). And they found the influencing factors of carbon emissions containing economic growth (Ren et al, 2021;Mele and Magazzino, 2020;Magazzino et al, 2021;Magazzino and Mele, 2022), energy transition (Ren et al, 2021), energy consumption and use (Udemba et al, 2020;Magazzino, 2016), technological innovation and technological progress (Ahmed et al, 2016;Gu et al, 2020;Cheng et al, 2022;Liu et al, 2022), global value chain participation (Liu and Zhao, 2021), financing constraints (Yu et al, 2022), foreign direct investment (Zeng and Ye, 2019), and capital allocation efficiency (Zhao et al, 2021). Some scholars have also considered spatial correlation in studies of carbon emission, but most of them use SDM (Gu et al, 2020;Lv et al, 2019;Wu and Zhang, 2021;Xue et al, 2020;Zhang Y et al, 2018;Zhao et al, 2021;.…”

Section: Literature Reviewmentioning

confidence: 99%

“…As a responsible major power, China takes responsibility actively for reducing carbon emissions and taking active measures to participate in climate problem control actions together with other countries. Within the framework of the Paris Agreement, China submitted to Enhanced Action on Climate Change: China's Intended Nationally Determined Contributions and committed to reaching a carbon peak by 2030 and carbon neutrality by 2060 (Liu et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Technological progress is an important means to achieve the goals of energy saving and emission reduction (Li et al, 2019;Zhang F et al, 2020) as well as plays an important moderating role in low-carbon economic development (Qi et al, 2019). Green innovation can also suppress carbon emission intensity (Liu et al, 2022). Is there heterogeneity in the carbon reduction effect of EIRT due to green technology innovation?…”

Section: Introductionmentioning

confidence: 99%

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Spillover effect of energy intensity reduction targets on carbon emissions in China

Pang

Ding

Shen

2023

Front. Environ. Sci.

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Since the reform and opening-up, China has made remarkable achievements in economic growth, but also led to a substantial increase in carbon emissions. The Chinese government has actively formulated energy intensity reduction targets and taken carbon emission reduction measures. The paper investigates the impact of energy intensity reduction targets on carbon emissions using a dynamic spatial Durbin model based on panel data from 30 provinces in China from 2006 to 2019. The results show that energy intensity reduction targets promote the reduction of local carbon emissions, but have a positive spillover effect on carbon emissions in adjacent regions. Meanwhile, green technology innovation has a non-linear moderating effect between energy intensity reduction targets and carbon emissions. Energy intensity reduction targets promote carbon emission reduction when green technology innovation is less than a threshold, while the promotion effect disappears when green technology innovation exceeds a threshold. The mechanism analysis shows that energy consumption structure is a channel through which energy intensity reduction targets affect carbon emissions in both local and adjacent regions. Further research found that peer competitive pressure promotes carbon emission reduction and alleviates pollution spillover, while central assessment pressure increases carbon emissions and aggravates pollution spillover. Based on the above findings, this study provides suggestions for policymakers aiming at carbon emission reduction by implementing target management policies and optimizing target management systems.

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Board committees as catalysts: Divulging the impact of nomination and risk management on corporate eco‐innovation and carbon performance

Zaid,

Issa

2024

Bus Strat Env

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Drawing on a theoretical integration perspective, this research responds to the latest calls in sustainability accounting by comprehensively exploring the moderating roles of two board sub‐committees: the nomination committee and the risk management committee, in the relationship between corporate eco‐innovation and carbon performance. This study contributes to the current literature in sustainability accounting by utilizing panel data from non‐financial listed firms on the Australian Securities Exchange (ASX) for the period spanning from 2011 to 2022. To mitigate potential endogeneity bias, various econometric techniques, including instrumental variable modeling, were employed. The robust findings confirm a positive and statistically significant relationship between eco‐innovation and carbon emissions reduction. Moreover, both the nomination committee and the risk management committee emerge as significant moderators of this relationship. These empirical findings hold valuable practical, theoretical, and policy implications for diverse stakeholders seeking a comprehensive understanding of the role of board sub‐committees as effective monitoring tools that support corporate carbon performance by encouraging firms to actively embrace eco‐innovation practices. As a result, our evidence underscores the significance of giving due attention to board sub‐committees when configuring the board's structure and setting expectations for carbon reduction performance.

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Does green innovation suppress carbon emission intensity? New evidence from China

Cited by 41 publications

References 58 publications

Moving towards Environmental Sustainability: Can Digital Economy Reduce Environmental Degradation in China?

Moving towards Environmental Sustainability: Can Digital Economy Reduce Environmental Degradation in China?

Spillover effect of energy intensity reduction targets on carbon emissions in China

Board committees as catalysts: Divulging the impact of nomination and risk management on corporate eco‐innovation and carbon performance

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