Evaluating the effect of low-carbon city pilot policy on urban PM2.5: evidence from a quasi-natural experiment in China

He, Yong; Lai, Zhiyu; Liao, Nuo

doi:10.1007/s10668-023-02906-w

Cited by 7 publications

(2 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, strengthening the intensity of intellectual property protection is beneficial for multiple reasons. It can promote improvements in the regional green innovation capacity and also reduce the risk of green technology and knowledge infringement, thus positively affecting the green innovation environment [46]. Innovative subjects can obtain additional income through authorized patents, which can help motivate them to research and develop green innovation technologies.…”

Section: Analysis Of the Moderating Mechanismmentioning

confidence: 99%

Digital Economy Development and Green Innovation Efficiency from a Two-Stage Innovation Value Chain Perspective

Fan,

2024

Sustainability

View full text Add to dashboard Cite

Resolving the conflict between economic growth and ecological sustainability is crucial when transitioning from traditional economic development towards a sustainable green model. In this context, the super-NSBM model was applied to measure the efficiency of green innovation technology research and development. Additionally, it was applied to measure the efficiency of the green innovation achievement transformation among 30 Chinese provinces. This evaluation was conducted for the period from 2011 to 2021, and it utilized a two-stage innovation value chain perspective. The entropy method was used to comprehensively calculate the digital economy development index, and the impact of digital economy development on the two-stage green innovation effect was empirically explored using SDM. The findings revealed the following: Firstly, both two-stage green innovation efficiency and digital economy development exhibited significant spatial characteristics. Secondly, digital economy development had a positive effect on two-stage green innovation efficiency not only in the local region but also in neighboring regions. This conclusion remained valid throughout a series of robustness tests. Thirdly, in terms of regional heterogeneity, the eastern region and non-resource-based regions had greater digital economy development dividends than the central, western, and resource-based regions; therefore, the effect on two-stage green innovation efficiency was more significant. Lastly, both intellectual property protection and data factor endowment exerted positive moderating effects on the influence of the digital economy on two-stage green innovation efficiency. The conclusions of this research provide a theoretical backing for and empirical proof of the mechanism of digital economy development and its impact on two-stage green innovation efficiency. Policy implications are suggested based on these findings, such as reinforcing digitalization, establishing targeted policies, and fostering a favorable external environment conducive to technological innovation.

show abstract

Section: Analysis Of the Moderating Mechanismmentioning

confidence: 99%

Digital Economy Development and Green Innovation Efficiency from a Two-Stage Innovation Value Chain Perspective

Fan,

2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…Thus, several tests were needed to verify the applicability of spatial SDM, including LM test, Hausman test, Wald test and the LR test [62].…”

Section: Improved Ekc Model With Spatial Effectmentioning

confidence: 99%

The Cause and Correlation Network of Air Pollution from a Spatial Perspective: Evidence from the Beijing–Tianjin–Hebei Region

Zhou

Zhang

et al. 2023

Sustainability

View full text Add to dashboard Cite

Based on the Spatial Durbin Model (SDM), this study evaluates the spatial spillover effect of PM2.5 concentration in Beijing–Tianjin–Hebei (BTH) and its surrounding areas from 2000 to 2016, analyzes its main influencing factors and verifies the Environmental Kuznets Curve (EKC). In addition, Social Network Analysis (SNA) is used to measure the regional air pollution transmission network. The results are as follows: (1) A significant inverted U-shaped EKC with spatial spillover effect between the sampled 48 cities was verified. (2) Industrial structure had both local and spillover effects on air pollution with a U-shaped curve; technological progress exerted a negative spillover effect on air pollution, while traffic evidenced positive local and spillover effects; meteorological conditions showed different impacts on air pollution. (3) Heze, Tianjin, Xingtai, Shijiazhuang and Liaocheng are the top five cities in the centrality of the air pollution correlation network, indicating air pollution in these cities have significant impacts on other cities within the network; while Sanmenxia, Weihai, Yuncheng, Langfang and Zhumadian are the bottom five cities, which indicates that the air pollution of these cities has the least correlation with other cities. The policy suggestions for 48 cities involve: building up a regional joint prevention and control mechanism, enhancing the supervision of cities located in the centrality of the air pollution correlation network, accelerating high-tech and service-oriented industrialization, encouraging technological innovation in energy conservation and environmental protection and implementing vehicle regulation.

show abstract

Assessment on the synergistic effect of pollution and carbon reductions in low-carbon city pilot policy: based on effectiveness and efficiency perspectives

Fan,

Zhou,

Xie

2024

Environ Dev Sustain

View full text Add to dashboard Cite

Evaluating the effect of low-carbon city pilot policy on urban PM2.5: evidence from a quasi-natural experiment in China

Cited by 7 publications

References 55 publications

Digital Economy Development and Green Innovation Efficiency from a Two-Stage Innovation Value Chain Perspective

Digital Economy Development and Green Innovation Efficiency from a Two-Stage Innovation Value Chain Perspective

The Cause and Correlation Network of Air Pollution from a Spatial Perspective: Evidence from the Beijing–Tianjin–Hebei Region

Assessment on the synergistic effect of pollution and carbon reductions in low-carbon city pilot policy: based on effectiveness and efficiency perspectives

Contact Info

Product

Resources

About