Do smart cities have lower particulate matter 2.5 (PM2.5)? Evidence from China

Cui, Huanyu; Cao, Yuequn

doi:10.1016/j.scs.2022.104082

Cited by 40 publications

(14 citation statements)

References 81 publications

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“…Technological innovation is an important intermediary between industrial activities and environmental pollution, 5 can improve energy utilization by mitigating resource mismatch on the input side, and can improve productivity by optimizing production methods and upgrading manufacturing equipment on the output side, thus promoting the optimization and upgrading of industrial structure and the transformation of economic development. [15][16][17] Many studies have provided new solutions from the perspective of integrating informatization and industrialization. As a combination of informatization, industrialization, and urbanization, smart cities have been proven by many studies to reduce environmental pollution, including SO 2 , PM2.5, and PM10.…”

Section: Literature Reviewmentioning

confidence: 99%

“…[17][18][19] For example, through a study based on Chinese city panel data from 2004 to 2018, Cui and Cao found that smart city construction significantly reduced PM2.5 concentrations in local and surrounding non-pilot cities, and its effect on local pollution control was achieved by promoting city innovation, industrial optimization, and upgrading, driving technological progress, and increasing total factor productivity. 17 Information and communication technology (ICT), a key integrating technology in smart city construction, can significantly improve air quality in eastern China through information infrastructure improvement and energy efficiency improvement effects but is weak in central, western, and northeastern regions. 20 Admittedly, new technological innovations such as ICT are considered by many studies to be important ways to improve air quality and control environmental pollution.…”

Section: Literature Reviewmentioning

confidence: 99%

“…As a combination of informatization, industrialization, and urbanization, smart cities have been proven by many studies to reduce environmental pollution, including SO 2 , PM2.5, and PM10. [17][18][19] For example, through a study based on Chinese city panel data from 2004 to 2018, Cui and Cao found that smart city construction significantly reduced PM2.5 concentrations in local and surrounding non-pilot cities, and its effect on local pollution control was achieved by promoting city innovation, industrial optimization, and upgrading, driving technological progress, and increasing total factor productivity. 17 Information and communication technology (ICT), a key integrating technology in smart city construction, can significantly improve air quality in eastern China through information infrastructure improvement and energy efficiency improvement effects but is weak in central, western, and northeastern regions.…”

Section: Literature Reviewmentioning

confidence: 99%

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The impact of industrial robots application on air pollution in China: Mechanisms of energy use efficiency and green technological innovation

Zeng

Wei

2022

Science Progress

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The battle against air pollution in China persists, and haze remains over cities. Whether industrial robots, as the core technology of intelligent manufacturing, can improve city air quality in the process of production has not been determined. Using the International Federation of Robotics data and Chinese city air pollution data (2013–2018), this study finds that industrial robots significantly reduce city air pollution levels (PM2.5, PM10, and SO2), which remains robust after addressing endogeneity. The mechanism of action lies in the synergistic benefits of industrial robots in reducing city air pollution levels by effectively improving energy use efficiency and promoting green technological innovation. Heterogeneity analysis suggests that industrial robots, as the incarnation of green technology, can be an effective alternative tool to green policies, such as low-carbon piloting, resource planning, and environmental regulation. This study empirically confirms that industrial robots are environment-friendly technologies that can provide new policy ideas to promote air pollution prevention and control in the industrialization process.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

The impact of industrial robots application on air pollution in China: Mechanisms of energy use efficiency and green technological innovation

Zeng

Wei

2022

Science Progress

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“…Through the application of new-generation information technologies such as Internet of Things (IOT) infrastructure, cloud computing infrastructure, and tools and processes such as wikis, social networks, Fab Lab, Living Lab, and integrated methods, smart cities achieve comprehensive and open creation through perception, broadband and ubiquitous interconnection, intelligent and integration. Along with the rise of network empires and the convergence of mobile technologies of innovation, the smart city in the knowledge society environment was the advanced form of informational city development after the digital city [ 16 , 59 , 60 ].…”

Section: The Impact Of the Digital Economy On Pm 25 ...mentioning

confidence: 99%

Spatial Effect of Digital Economy on Particulate Matter 2.5 in the Process of Smart Cities: Evidence from Prefecture-Level Cities in China

Tan

Chen²

2022

IJERPH

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During the COVID-19 pandemic, the digital economy has developed rapidly. The airborne nature of COVID-19 viruses has attracted worldwide attention. Therefore, it is of great significance to analyze the impact of the digital economy on particulate matter 2.5 (PM2.5) emissions. The research sample of this paper include 283 prefecture-level cities in China from 2011 to 2019 in China. Spatial Durbin model was adopted to explore the spatial spillover effect of digital economy on PM2.5 emissions. In addition, considering the impact of smart city pilot (SCP) policy, a spatial difference-in-differences (SDID) model was used to analyze policy effects. The estimation results indicated that (1) the development of the digital economy significantly reduces PM2.5 emissions. (2) The spatial spillover effect of the digital economy significantly reduces PM2.5 emissions in neighboring cities. (3) Smart city construction increases PM2.5 emissions in neighboring cities. (4) The reduction effect of the digital economy on PM2.5 is more pronounced in the sample of eastern cities and urban agglomerations.

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“…In the past 40 years, China's rapid economic development has come at a huge environmental price (Cui and Cao, 2022). According to the " Bulletin on China's Ecological Environment in 2020″, among the 337 prefecture-level cities in China, only 202 meet environmental quality standards, accounting for 59.9% of all cities, and the annual average PM2.5 concentration is as high as 33μg/m3, far exceeding the 10μg/m3 standard in the World Health Organization's Air Quality Guidelines.…”

Section: Introductionmentioning

confidence: 99%

Does the pilot construction of new-energy cities promote particulate matter 2.5 (PM2.5) reduction? Evidence from China

Yang

Yang²,

Wang³

et al. 2023

Front. Environ. Sci.

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Introduction: In recent years, China has paid high attention on urban energy innovation, trying to achieve a win–win situation between environmental protection and urban development, and it has formulated a series of policies to promote urban energy innovation.Methods: Taking China’s new energy demonstration city (NEDC) policy as an example, this paper empirically investigates the impact of China’s urban energy policy on PM2.5 by using a difference-in-differences (DID) model.Results/Discussion: (1) NEDC policy has reduced PM2.5 concentrations by 4.84% in pilot cities. Moreover, this policy can continue to reduce PM2.5 concentrations for at least 5 years, and the policy effect increases year by year. (2) NEDC policy has spatial spillover effect, which significantly reduces PM2.5 of surrounding cities within 150 km. (3) The PM2.5 reducing effect of NEDC policy is primarily the result of technological effect and allocation effect generated by promoting innovation and industrial upgrading. (4) The PM2.5 control effect of NEDC policy presents an inverted U-shape with the expansion of city size, and is better in cities with low levels of financial support, high levels of human capital and information infrastructure. The conclusions of this paper have important theoretical value for understanding the ecological effect of innovation policy and provide experience for developing countries to implement an experimentalist governance model.

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Do smart cities have lower particulate matter 2.5 (PM2.5)? Evidence from China

Cited by 40 publications

References 81 publications

The impact of industrial robots application on air pollution in China: Mechanisms of energy use efficiency and green technological innovation

The impact of industrial robots application on air pollution in China: Mechanisms of energy use efficiency and green technological innovation

Spatial Effect of Digital Economy on Particulate Matter 2.5 in the Process of Smart Cities: Evidence from Prefecture-Level Cities in China

Does the pilot construction of new-energy cities promote particulate matter 2.5 (PM2.5) reduction? Evidence from China

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