Does the opening of high-speed rails improve urban carbon efficiency? Evidence from a spatial difference-in-difference method

Gao, Da; Wang, Guimei

doi:10.1007/s11356-023-29454-0

Cited by 7 publications

(2 citation statements)

References 51 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 . However, due to differences in the basic conditions and technological levels among countries, scholars have not reached a consensus on the pollution reduction and environmental protection effects of SCC 27 .…”

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 spatial econometric model can effectively consider the spatial correlation characteristics and eliminate the estimation bias that may arise from spatial interaction effects, thereby improving the accuracy of empirical results. To evaluate the model fitting effect, the optimal econometric model for this paper was selected based on the methodology used by Gao & Wang (2023) [49]. The specific settings are as follows:…”

Section: Spatial Spillover Effects Of the Opening Of High-speed Railw...mentioning

confidence: 99%

High-Speed Railway Opening, Industrial Symbiotic Agglomeration and Green Sustainable Development—Empirical Evidence from China

Chen,

Zhu,

Zhao

2024

Sustainability

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In recent years, China’s transportation infrastructure has undergone significant changes. High-speed rail, as a new and favored mode of transportation, offers travelers convenience, efficiency, and punctuality, replacing many high-pollution transportation methods. Based on the characteristics of high-speed rail, this paper selects data from 30 provinces spanning from 1999 to 2019. It utilizes the double-difference method to evaluate the impact of high-speed rail opening on economic sustainability. It has been found that the introduction of high-speed rail contributes to economic sustainability during the examination period. The mechanism test also reveals that the opening of high-speed rail promotes green and sustainable development through the industrial agglomeration effect. In addition, the opening of high-speed rail (HSR) has a significant time lag effect and a spatial spillover effect on green sustainable development. The conclusion complements the theoretical framework regarding the impact of high-speed rail on the environment and regional economic sustainability. It also provides guidance for the efficient utilization of high-speed rail, which holds both theoretical and practical importance.

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Carbon neutrality endeavors: the impact of carbon emission trading policies on total factor carbon emission efficiency

Liu,

Lv,

Gao

et al. 2024

Environ Sci Pollut Res

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Does the opening of high-speed rails improve urban carbon efficiency? Evidence from a spatial difference-in-difference method

Cited by 7 publications

References 51 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

High-Speed Railway Opening, Industrial Symbiotic Agglomeration and Green Sustainable Development—Empirical Evidence from China

Carbon neutrality endeavors: the impact of carbon emission trading policies on total factor carbon emission efficiency

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