Blue Sky Defense for Carbon Emission Trading Policies: A Perspective on the Spatial Spillover Effects of Total Factor Carbon Efficiency

Gao, Dao Li; Tan, Linfang; Mo, Xinlin; Xiong, Ruochan

doi:10.3390/systems11080382

Cited by 29 publications

(16 citation statements)

References 52 publications

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“…Since 2008, when IBM introduced the concept of SCC, scholars have been keenly interested in its effectiveness in reducing environmental pollution 24 , 25 . Some researchers propose that with the development of cities and the advancement of new technologies like the digital economy, there is a significant potential to reduce pollutant emissions 26 .…”

Section: Policy Background and Literature Reviewmentioning

confidence: 99%

The impact of smart city construction (SCC) on pollution emissions (PE): evidence from China

Zhang,

Sun,

Zhong

2024

Sci Rep

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Based on panel data from 210 prefecture-level cities in China from 2003 to 2021, this study employs the Time-Varying Differences-in-Differences (Time-Varying DID) approach to systematically examine the impact of smart city construction on pollution emissions and its underlying mechanisms. Additionally, the Propensity Score Matching–Differences-in-Differences method is employed for further validation. The research findings indicate that Smart City Construction (SCC) significantly reduces urban Volume of Sewage Discharge (VSD), sulfur dioxide emissions (SO2), and Emissions of Fumes and Dust (EFD), thereby mitigating pollution emissions (PE) and enhancing environmental quality. Mechanism analysis reveals that SCC achieves these effects through scale effects, structural effects, and technological effects. City heterogeneity analysis shows that provincial capital cities exhibit a stronger suppression effect on pollution emissions compared to non-provincial capital cities. Moreover, cities with lower levels of education attainment demonstrate a stronger ability to curb pollution emissions, while larger cities exhibit a more pronounced impact on mitigating pollution emissions. The marginal contributions of this study mainly consist of three aspects: Firstly, it enriches the literature on environmental impact factors by assessing, for the first time, the influence of SCC on PE. Secondly, a comprehensive approach is employed, integrating VSD, EFD, SO2 data, and economic and pollution data at the city level. Time-Varying DID is used to evaluate the policy effects of SCC. Finally, the study analyzes the impact mechanisms of SCC policy on environmental emissions from various perspectives.

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Section: Policy Background and Literature Reviewmentioning

confidence: 99%

The impact of smart city construction (SCC) on pollution emissions (PE): evidence from China

Zhang,

Sun,

Zhong

2024

Sci Rep

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“…The development of cities is often shaped by their geographical location and the resulting resource endowment [66]. Compared to the central and western regions, cities in eastern China, with convenient transportation, abundant resources, and relatively high levels of human capital and foreign investment, have unique advantages regarding the agglomeration of innovation factors such as population, economy, finance, and infrastructure, and this difference in resources may cause heterogeneity in the effects of smart cities on urban innovation.…”

Section: City Locationmentioning

confidence: 99%

Promoting Urban Innovation through Smart Cities: Evidence from a Quasi-Natural Experiment in China

Ji,

Jin,

Chen

et al. 2024

Land

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It is of great theoretical and practical significance to investigate the influence of intelligent city construction on urban innovation. Based on the data of 238 cities in China from 2006 to 2019, this paper utilizes the staggered difference-in-differences (staggered DID) model and the mediating effect model to examine the impact and mechanisms of smart city construction on urban innovation. We find that China’s smart city pilot policies significantly promote urban innovation. Mechanism analysis shows that this innovation promotion effect acts through improving urban informatization, government financial expenditure on science and technology, and the upgrading of the city’s industrial structure. Further analysis shows that smart city construction has a stronger promoting effect on innovation in cities of a larger scale, that located in the eastern region, and have a lower level of science and education. Overall, our findings provide new insights into urban innovation and objectively assess the impact of smart city construction in China.

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Section: Introductionmentioning

confidence: 99%

“…Additionally, a segment of the literature concentrates on exploring the determinants of low-carbon economic development, primarily on the aspects of total carbon emissions [27][28][29] and carbon emission efficiency [30][31][32][33]. For instance, research has investigated the spatial spillover impacts of carbon emission trading programs on the comprehensive carbon emission efficiency in cities [31]. Some studies have focused on the impact of transportation infrastructure on urban carbon emissions, finding that transportation infrastructure has exacerbated carbon emissions in surrounding cities [34].…”

Section: Introductionmentioning

confidence: 99%

Can Green Infrastructure Investment Reduce Urban Carbon Emissions:Empirical Evidence from China

Ai,

Yan

2024

Land

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Green infrastructure (GI) plays a pivotal role in contemporary urban infrastructure. Green infrastructure investment (GII) provides a fresh perspective for controlling urban carbon emissions in the context of global climate change. Based on theoretical analysis, we employed panel data from Chinese cities to examine the effects and operating mechanisms of GII on urban carbon emissions. The research reveals that the incremental GII can notably decrease urban carbon emissions, and various robustness tests and endogeneity checks corroborate this finding. However, when considering the cumulative effect, the GII stocks do not appear to influence urban carbon emissions; GII mitigates urban carbon emissions by drawing in pollution control talents, improving the efficiency of household waste treatment, increasing urban green spaces, and heightening public attention to the environment. Relative to cities in the central-western region, northern cities, smaller cities, resource-based cities, smart pilot cities, and cities with a lesser environmental emphasis, GII is more effective in curbing carbon emissions in eastern cities, southern cities, larger cities, non-resource-intensive cities, cities not in the smart pilot initiative, and cities with a stronger environmental focus. This research enhances the understanding of GI’s environmental outcomes and the determinants of urban carbon emissions from an investment viewpoint. It also dissects the four operative mechanisms through which GII lowers urban carbon emissions, offering a novel interpretation of GII for the variance in carbon emission levels across cities with diverse traits.

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Blue Sky Defense for Carbon Emission Trading Policies: A Perspective on the Spatial Spillover Effects of Total Factor Carbon Efficiency

Cited by 29 publications

References 52 publications

The impact of smart city construction (SCC) on pollution emissions (PE): evidence from China

The impact of smart city construction (SCC) on pollution emissions (PE): evidence from China

Promoting Urban Innovation through Smart Cities: Evidence from a Quasi-Natural Experiment in China

Can Green Infrastructure Investment Reduce Urban Carbon Emissions:Empirical Evidence from China

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