The role of domestic R&amp;D activities played in carbon intensity: Evidence from China

Huang, Junbing; Luan, Bingjiang; Cai, Xiaochen; Zou, Hong

doi:10.1016/j.scitotenv.2019.135033

Cited by 38 publications

(8 citation statements)

References 57 publications

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“…Urbanisation shows negative but insignificant effect in most cases (Table 7), which is similar to the results based on carbon intensity (Huang et al, 2020). The energy demand from urban construction and the insufficient treatment of pollutants are two main aspects that induce the increase of carbon emissions and impede carbon performance during urbanisation 2 http://www.most.gov.cn/fggw/zfwj/zfwj2012/201202/t20120222_92619.htm in China (Cheng et al, 2018a;Pan et al, 2020).…”

Section: Modelling Determinants Of Tfcpsupporting

confidence: 74%

“…By comparing multi integrated assessment models, Duan et al (2021) forecast that industrial carbon emissions will decline, which is driven by industrial structure adjustment, low-carbon transition of energy and enhancement of energy efficiency. Although result in this study is different from most others based on carbon intensity (Huang et al, 2020), it validates the effectiveness of a series of policies on industrial sectors which target at energy conservation and pollution reduction in China Zhang et al, 2019). On one side, as the secondary industry accounts for 70% of carbon emission in China and leaves large potential to curb carbon.…”

Section: Modelling Determinants Of Tfcpsupporting

confidence: 59%

“…Evidence on how industrialisation affects carbon emission and intensity is well established, however there is no consensus. The impact of industrialisation is found to be insignificant negative , significant positive (Dong et al, 2018;Huang et al, 2020;Huang et al, 2018). By comparing multi integrated assessment models, Duan et al (2021) forecast that industrial carbon emissions will decline, which is driven by industrial structure adjustment, low-carbon transition of energy and enhancement of energy efficiency.…”

Section: Modelling Determinants Of Tfcpmentioning

confidence: 98%

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The persistent and transient total factor carbon emission performance and its economic determinants: evidence from China's province-level panel data

Liu

Cheng

et al. 2021

Journal of Cleaner Production

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Section: Modelling Determinants Of Tfcpsupporting

confidence: 74%

Section: Modelling Determinants Of Tfcpsupporting

confidence: 59%

Section: Modelling Determinants Of Tfcpmentioning

confidence: 98%

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The persistent and transient total factor carbon emission performance and its economic determinants: evidence from China's province-level panel data

Liu

Cheng

et al. 2021

Journal of Cleaner Production

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“…A few empirical studies have examined the link between research and development and environmental degradation (CO 2 emission) in both specific and multiple countries using different estimation techniques ( Yang et al., 2014 ; Fernandez et al., 2018 ; Churchill et al., 2019 ; Alam et al., 2019 ; Huang et al., 2020 ; Paramati et al., 2020 ). The findings reveal that research and development contribute to the mitigation of environmental degradation.…”

Section: Previous Empirical Studiesmentioning

confidence: 99%

“…In another study, Huang et al (2020) investigated the relationship between research and development and carbon emissions in China using a unique panel dataset for a short period spanning 2000 to 2016. The results show research and development reduce CO 2 emission intensity.…”

Section: Previous Empirical Studiesmentioning

confidence: 99%

Towards mitigating ecological degradation in G-7 countries: accounting for economic effect dynamics, renewable energy consumption, and innovation

Usman

Iorember

Jelilov

et al. 2021

Heliyon

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The 21 st century economic growth is characterized by extensive production and consumption, which increases anthropogenic emissions. However, reducing emission levels require ecological sustainability through innovation and modern technological consideration. This paper investigated not only renewable energy-driven environmental quality but also captured innovation research investment in renewables within the framework of the environmental Kuznets curve (EKC) model for G-7 countries. The findings confirmed the presence of EKC hypothesis for G-7 countries. In addition, renewable energy and innovation were identified to exert negative effects on ecological footprint. To capture the entire conditional distribution of the ecological footprint, we applied the Method of Moments Quantile Regression with fixed-effects. The results affirmed the negative effects of renewable energy innovation. Besides, their effects were heterogeneous across the quantiles with evidence of diminishing effects from lower to higher quantiles, suggesting that countries with lower levels of ecological footprint are possibly more prone to the environmental deterioration effect of income growth. The results of the causality test support economic growth-induced ecological degradation, growth-induced renewables, and innovation-induced ecological conservation. The results further showed a feedback effect between renewables and ecological footprint, innovation, and income growth as well as innovation and renewables. These findings portend important implications for the realization of carbon-free economies in G-7 countries by 2100.

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Long‐run relationship between R&D investment and environmental sustainability: Evidence from the European Union member countries

et al. 2020

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The researchers, environmental scientists and policymakers around the world are exerting substantial efforts to mitigate the growth of CO 2 emissions to save the planet. A number of measures and initiatives, such as, energy efficiency, renewable energy technologies and emission-control are proposed in order to reduce CO 2 emissions. This study examines the long-run relationship between R&D investment and environmental sustainability in a panel of 25 European Union (EU) member countries over a period of 17 years (1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014). We use robust and reliable econometric methods to capture the interactions between R&D investment on renewable energy consumption and CO 2 emissions. The findings confirm that the growth of R&D expenditures promotes renewable energy consumption and plays a significant role in reducing CO 2 emissions in the sample countries. Furthermore, the findings suggest that increasing the share of renewable energy consumption in the total energy mix also reduces CO 2 emissions. Given these results, we suggest that the EU policymakers provide more financial and regulatory assistance to the R&D activities, specifically in the energy sector, to ensure promoting low carbon economies in this region.

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The role of domestic R&D activities played in carbon intensity: Evidence from China

Cited by 38 publications

References 57 publications

The persistent and transient total factor carbon emission performance and its economic determinants: evidence from China's province-level panel data

The persistent and transient total factor carbon emission performance and its economic determinants: evidence from China's province-level panel data

Towards mitigating ecological degradation in G-7 countries: accounting for economic effect dynamics, renewable energy consumption, and innovation

Long‐run relationship between R&D investment and environmental sustainability: Evidence from the European Union member countries

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