Exploring the Effect of Digital Economy on PM2.5 Pollution: The Role of Technological Innovation in China

Sun, X.; Chen, Zhangwang; Loh, Lawrence

doi:10.3389/fenvs.2022.904254

Cited by 9 publications

(8 citation statements)

References 53 publications

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“…Such as Zhou et al ( 2021 ) believed that the digital economy can reduce haze pollution via the path mechanism of enhancing the proportion of advanced industrial structure in GDP. Sun et al ( 2022 ) confirmed that the digital economy promoting innovation is an important mediation mechanism that affects PM2.5 pollution through the mediation effect model.…”

Section: Literature Reviewmentioning

confidence: 97%

Can the digital economy development achieve the effect of pollution reduction? Evidence from Chinese Cities

Guo

Zhao

2023

Environ Sci Pollut Res

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As a new economic form, the digital economy is not only empowering new impetus to economic growth, but also reshaping specific business forms of economical operation. Therefore, we conducted an empirical test to verify the impact and mechanism of pollution reduction in the digital economy, based on the panel data of 280 prefecture-level cities in China from 2011 to 2019. The results show that, first the development of the digital economy indeed has the positive effect of realizing pollution reduction. The results of mediating effect test indicate the influence mechanism mainly rely on promoting the upgrading of industrial structure (structural effect) and upgrading the level of green technology innovation (technical effect). Second, the results of regional heterogeneity analysis show that the emission reduction effect of digital economy development on four pollutants is characterized by weakness in the east and strong in the west in regional distribution. Third, the development of digital economy has a threshold effect on the level of economic development to achieve its pollution reduction effect. Further identification of the threshold effect indicates that the higher the level of economic development, the better in emission reduction effect.

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Section: Literature Reviewmentioning

confidence: 97%

Can the digital economy development achieve the effect of pollution reduction? Evidence from Chinese Cities

Guo

Zhao

2023

Environ Sci Pollut Res

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“…These advancements are closely associated with green, low-carbon development, playing a crucial role in pollution mitigation. Numerous studies [30][31][32] have highlighted the digital economy's role in fostering the development of cleaner technologies and greener products. This is facilitated through the promotion of scientific and technological innovations, especially patents in green technology.…”

Section: Hypothesesmentioning

confidence: 99%

“…Recent studies have indicated that the development of the digital economy significantly impacts the reduction in PM 2.5 pollution [27]. The influence of the digital economy on PM 2.5 is primarily mediated through key factors, such as urban quality development and land use planning [28][29][30][31][32]. The exact manner in which the digital economy affects PM 2.5 pollution is not yet fully understood, necessitating further research to elucidate its mechanisms comprehensively.…”

Section: Introductionmentioning

confidence: 99%

Effects of Big Data on PM2.5: A Study Based on Double Machine Learning

Wei,

Cheng,

Duan

et al. 2024

Land

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The critical role of high-quality urban development and scientific land use in leveraging big data for air quality enhancement is paramount. The application of machine learning for causal inferences in research related to big data development and air pollution presents considerable potential. This study employs a double machine learning model to explore the impact of big data development on the PM2.5 concentration in 277 prefecture-level cities across China. This analysis is grounded in the quasi-natural experiment named the National Big Data Comprehensive Pilot Zone. The findings reveal a significant inverse relationship between big data development and PM2.5 levels, with a correlation coefficient of −0.0149, a result consistently supported by various robustness checks. Further mechanism analyses elucidate that big data development markedly diminishes PM2.5 levels through the avenues of enhanced urban development and land use planning. The examination of heterogeneity underscores big data’s suppressive effect on PM2.5 levels across central, eastern, and western regions, as well as in both resource-dependent and non-resource-dependent cities, albeit with varying degrees of significance. This study offers policy recommendations for the formulation and execution of big data policies, emphasizing the importance of acknowledging local variances and the structural nuances of urban economies.

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“…From the perspective of environmental supervision, the digital economy can utilize information technology to achieve real-time monitoring of various pollutants and pollution sources. In particular, smart monitoring systems play a crucial role in encouraging polluting firms and industries to effectively control and eliminate excessive pollutant emissions, thereby achieving environmentally friendly production and reducing carbon pollution [15]. From the perspective of macro-governance, the government can leverage digital technology to acquire a better comprehension of energy trade direction and price oscillations.…”

Section: The De and Carbon Pollutionmentioning

confidence: 99%

Research on the Impact of the Digital Economy on Carbon Pollution Based on the National Big Data Comprehensive Pilot Zone in China

Liu,

2023

Sustainability

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The digital economy (DE) is increasingly recognized as a principal driver of high-quality economic development. With the dual carbon goals of carbon peak and carbon neutrality, it is essential to urgently discuss whether the DE can also provide an aid to restrain carbon pollution. For this reason, the purpose of this paper is to examine the influence of the DE on urban carbon pollution and its underlying mechanism, utilizing balance panel data for Chinese cities from 2012 to 2021. Additionally, this study adopts the quasi-natural experiment in the National Big Data Comprehensive Pilot Zone to empirically analyze this relationship using the Difference-in-Differences (DID) and mediating effect models. The findings indicate that the DE can significantly decrease carbon pollution, exhibiting a clear carbon pollution reduction effect. These conclusions remain valid even after implementing various robustness tests. This examination of the action mechanism reveals that it is effective for the DE to mitigate urban carbon pollution by enhancing energy efficiency and attracting foreign investment. Further analysis of heterogeneity reveals that it is more effective for the DE to reduce carbon pollution in the non-resource-based cities, large cities, eastern regions, and cities with high urbanization levels as compared to the resource-based cities, small or mega cities, central and western regions, and cities with a low level of urbanization. These findings not only offer robust objective evidence for the positive influence of the DE on carbon pollution reduction, but also present valuable policy implications for minimizing carbon pollution and enhancing environmental quality.

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Exploring the Effect of Digital Economy on PM2.5 Pollution: The Role of Technological Innovation in China

Cited by 9 publications

References 53 publications

Can the digital economy development achieve the effect of pollution reduction? Evidence from Chinese Cities

Can the digital economy development achieve the effect of pollution reduction? Evidence from Chinese Cities

Effects of Big Data on PM2.5: A Study Based on Double Machine Learning

Research on the Impact of the Digital Economy on Carbon Pollution Based on the National Big Data Comprehensive Pilot Zone in China

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