Do environmental regulations of carbon emissions and air pollution foster green technology innovation: Evidence from China's prefecture-level cities

Chen, Yanyun; Yao, Ziyan; Zhong, Ke

doi:10.1016/j.jclepro.2022.131537

Cited by 111 publications

(38 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The revisionist school represented by Porter believes that ER generates innovation compensation effects. ER effectively incites firms to pursue innovation (scientific or technological) and develop green technologies, processes, and products for the following reasons: 1) enhance enterprise core competitiveness; 2) partially or entirely offset economist costs generated by environmental regulations (Song et al, 2022a;Chen Y. et al, 2022). Only when the innovation's compensation effect (led by environmental regulation) exceeds the cost-effectiveness of compliance can enterprises get the opportunity to promote their transformation and upgrading through green TI, which unifies the Porter hypothesis and traditional neoclassical economic theory .…”

Section: Green Innovation Preference and Environmental Regulationsmentioning

confidence: 99%

Do regional government green innovation preferences promote industrial structure upgradation in China? Econometric assessment based on the environmental regulation threshold effect model

Khattak

Khan

et al. 2022

Front. Environ. Sci.

View full text Add to dashboard Cite

China has been upgrading the industrial structure (ISU) at the regional level through innovation to achieve socioeconomic progress, but there is less known about the complex intermediary mechanisms regulating the government’s green innovation preference (GGIP)-ISU nexus from a regional perspective in China. Experts agree that varying environmental regulations (ER) intensity alters the relationship dynamics between innovation and ISU. Thus, using regional panel data (2005–2019), the paper develops an ER-based threshold regression model to assess the GGIP-ISU nexus under various ER levels in China. Following the statistically acceptable stationarity test outcomes, the regression corroborated the GGIP had disrupted ISU in China. Second, the ER-threshold model depicted that GGIP flexibility and ER rigidity were found interconnected, while the GGIP-ISU connection was characterized by a U-shaped relationship in which ER acted as a threshold variable. Third, the region-based heterogeneity test reflected that there was significant disparity in the inhibitory effect of GGIP on ISU between resource and non-resource-based regions, i.e., GGIP had a more significant inhibitory influence on the ISU in the non-resource-based regions than in the resource-based regions. The paper recommends critical policy implications for the enhancement of ISU in China.

show abstract

Section: Green Innovation Preference and Environmental Regulationsmentioning

confidence: 99%

Do regional government green innovation preferences promote industrial structure upgradation in China? Econometric assessment based on the environmental regulation threshold effect model

Khattak

Khan

et al. 2022

Front. Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…However, green innovation was also found to have no connection with EU-ETS (Lofgren et al 2014 ). In the case of the CN-ETS, authors also found similar inconclusive findings, for instance, positive (Ning et al 2022 ; Zhu et al 2019a ), negative (Chen et al 2022 ; Zhang et al 2019b ), mixed or inverted-U and U-shaped (Peneder et al 2022 ; Song et al 2020 ; Zhang et al 2022a ; Zhuge et al 2020 ), no effect or not significant (Shen et al 2020b ; Wu and Lin 2022 ). Thus, the impact of ETSs on green innovation remains inconclusive and varies in terms of geographical and sectoral heterogeneity.…”

Section: Literature Reviewmentioning

confidence: 79%

Does the US regional greenhouse gas initiative affect green innovation?

Rahman

Ahmad

Ismail

2022

Environ Sci Pollut Res

View full text Add to dashboard Cite

This study measures the impact of the implementation of the Regional Greenhouse Gas Initiative (RGGI) on firms’ green innovation initiatives. We used 20 years of panel data from the Fortune 500 list of the US largest companies. Based on DID, a benchmark regression, the RGGI has a significant adverse effect on the green innovation of Fortune 500 companies, and we verified these findings with multiple robustness tests. As we investigate how energy-intensive industries were affected by RGGI, we found that it slowed down green innovation, but it was not statistically significant. This study provides a novel perspective on how the RGGI influences green innovation in firms and how different types of sectors respond to the policy. The findings indicate that the “weak” Porter Hypothesis has not been confirmed in the present carbon trading market (particularly the RGGI) for Fortune 500 firms in the USA. In terms of policy, we believe that a well-covered and differentiated legislation that fosters green innovation while being realistic about the policy’s goal and the firm’s environmental attitude, like emissions reduction through green innovation, is essential. Supplementary Information The online version contains supplementary material available at 10.1007/s11356-022-23189-0.

show abstract

“…For companies, GETI has become a more effective way to enhance competitiveness by improving their production processes and productivity. In this sense, the compliance cost induced by environmental regulation is offset by the innovation compensation effect [75]. Companies are willing to engage in innovations related to green energy technologies and improve their core competitiveness through cleaner production.…”

Section: Baseline Resultsmentioning

confidence: 99%

The Impact of Environmental Regulation on Green Energy Technology Innovation—Evidence from China

2022

View full text Add to dashboard Cite

Green energy technology innovation (GETI) is a crucial path to achieve sustainable development. However, few studies have examined the determinants of GETI, especially from the perspective of environmental regulation. To fill this gap, this study investigates the impact of environmental regulation on GETI using the panel data of 30 provinces in Mainland China from 2001 to 2018. We first measure GETI by the latest IPC codes and patent data, and then adopt a dynamic spatial Durbin model (DSDM) to examine the relationship between environmental regulation and GETI. The main conclusions are summarized as follows: (1) There is a significant inverted U-shaped relationship between environmental regulation and GETI; (2) heterogeneity analysis shows that the inverted U-shaped correlation not only exists between environmental regulations and different types of GETI, but also exists between environmental regulations and GETI in different regions. Moreover, the results also show that the spatial spillover effect and path-dependent effect exist in all cases. The findings can provide reference for policymakers to formulate more precise environmental policies. That is, environmental policies in a province should be formulated based on its position on the inverted U-shaped curve. More specifically, when it is on the left side of the inflection point, it is reasonable to strengthen environmental policies, and when it is on the right side of the inflection point, appropriate relaxation of environmental policies should be considered.

show abstract

Do environmental regulations of carbon emissions and air pollution foster green technology innovation: Evidence from China's prefecture-level cities

Cited by 111 publications

References 43 publications

Do regional government green innovation preferences promote industrial structure upgradation in China? Econometric assessment based on the environmental regulation threshold effect model

Do regional government green innovation preferences promote industrial structure upgradation in China? Econometric assessment based on the environmental regulation threshold effect model

Does the US regional greenhouse gas initiative affect green innovation?

The Impact of Environmental Regulation on Green Energy Technology Innovation—Evidence from China

Contact Info

Product

Resources

About