Does the public haze pollution concern expressed on online platforms promoted pollution control? – Evidence from Chinese online platforms

Wu, Wenqi; Wang, Wenwen; Zhang, Lu; Wang, Qiaoyu; Wang, Lujing; Zhang, Ming

doi:10.1016/j.jclepro.2021.128477

Cited by 41 publications

(13 citation statements)

References 23 publications

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“…Thus, energy efficiency issues are covered in the works of Li and Du (2021), Ma et al (2021), Murshed and Alam (2021), Rubio et al (2021), Touzani et al (2021), Zeraibi et al (2021). Pollution control issues have been investigated by scientists such as Azam et al (2021), Du et al (2021), Han et al (2021), Rehman et al (2021), andWu et al (2021).…”

Section: Literature Reviewmentioning

confidence: 99%

Energy Efficiency and Pollution Control Through ICTs for Sustainable Development

Popkova¹,

Inshakova²,

Bogoviz³

et al. 2021

Front. Energy Res.

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The goal of this paper is to prove the necessity for a more thorough consideration and more active use of the modern ICTs for the technological support for the practical implementation of the SDGs’ ecological block in the aspect of the increase of energy efficiency and environmental pollution control. The originality of this paper is as follows: it develops a proprietary methodology of evaluating the technical readiness (level of the development of ICTs) for implementing the ecological block of the SDGs, which envisage the increase of energy efficiency and the growth of environmental pollution control. The highest (but moderate) technological readiness to implement the ecological block of the SDGs among developed countries has been shown by Canada (14.42 points) and Denmark (11.03 points), among developing countries—China (7.72 points). As a result, it has been proved that UCTs are a perspective tool of the practical implementation of the ecological block of the SDGs, stimulating the increase of energy efficiency and improving the environment pollution control. For developed countries, it is recommended to increase the use of Big data and AI analytics by 90.36% and increase the use of ICTs in E-government by 89.74%. This will allow achieving the growth of energy efficiency by 8.28% and the decrease of environmental pollution by 28.41%. In developing countries, it is recommended to increase world robots distribution by 14.17% and increase the use of ICTs in E-government by 76.74%. This will allow increasing the energy efficiency by 16.77% and decreasing the level of environmental pollution by 15.54%. This paper’s contribution to literature (innovative aspect of research) consists in filling the gap of the uncertainty (underdevelopment) of the tools for practical implementation of the SDGs ecological block. This paper has demonstrated the substantial potential of ICTs in the stimulation of the growth of energy efficiency and reduction of environmental pollution in developed and developing countries.

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Section: Literature Reviewmentioning

confidence: 99%

Energy Efficiency and Pollution Control Through ICTs for Sustainable Development

Popkova¹,

Inshakova²,

Bogoviz³

et al. 2021

Front. Energy Res.

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“…Compared with temporal evolution analysis, less research has been conducted on the spatial evolution of social media public opinion (Bian and Xu, 2022; Xu, 2019). For specific events, there is a significant geographical correlation between online topics and the development of offline events (Stoeckel et al , 2021; Wu et al , 2021). Therefore, spatial mining of social media opinion, combined with corresponding time cycles, has become an effective way to detect key spatiotemporal nodes of specific events and formulate emergency decisions (Wang et al , 2016).…”

Section: Related Workmentioning

confidence: 99%

Constructing a spatiotemporal situational awareness framework to sense the dynamic evolution of online public opinion on social media

Li,

Zeng,

Sun

et al. 2023

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Purpose The paper aims to construct a spatiotemporal situational awareness framework to sense the evolutionary situation of public opinion in social media, thus assisting relevant departments in formulating public opinion control measures for specific time and space contexts. Design/methodology/approach The spatiotemporal situational awareness framework comprises situational element extraction, situational understanding and situational projection. In situational element extraction, the data on the COVID-19 vaccine, including spatiotemporal tags and text contents, is extracted. In situational understanding, the bidirectional encoder representation from transformers – latent dirichlet allocation (BERT-LDA) and bidirectional encoder representation from transformers – bidirectional long short-term memory (BERT-BiLSTM) are used to discover the topics and emotional labels hidden in opinion texts. In situational projection, the situational evolution characteristics and patterns of online public opinion are uncovered from the perspective of time and space through multiple visualisation techniques. Findings From the temporal perspective, the evolution of online public opinion is closely related to the developmental dynamics of offline events. In comparison, public views and attitudes are more complex and diversified during the outbreak and diffusion periods. From the spatial perspective, the netizens in hotspot areas with higher discussion volume are more rational and prefer to track the whole process of event development, while the ones in coldspot areas with less discussion volume pay more attention to the expression of personal emotions. From the perspective of intertwined spatiotemporal, there are differences in the focus of attention and emotional state of netizens in different regions and time stages, caused by the specific situations they are in. Originality/value The situational awareness framework can shed light on the dynamic evolution of online public opinion from a multidimensional perspective, including temporal, spatial and spatiotemporal perspectives. It enables decision-makers to grasp the psychology and behavioural patterns of the public in different regions and time stages and provide targeted public opinion guidance measures and offline event governance strategies.

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“…Industrial structure upgrading (IND). In order to fully reflect the connotation of industrial structure upgrading, referring to the research of Wu W. et al (2021), this paper uses three indicators to measure industrial structure upgrading, including the primary, secondary, and tertiary industries, and constructs an industrial structure upgrading index to characterize industrial structure upgrading. The specific calculation is as follows:…”

Section: Variables Selectionmentioning

confidence: 99%

How do government environmental concerns affect haze pollution?

Fan

Zhao

et al. 2022

Front. Environ. Sci.

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The air pollution problem, represented by the frequent occurrence of haze, has seriously affected the quality of China’s economic growth. Along with the in-depth implementation of the concept of sustainable development and the continued strengthening of the central government’s environmental accountability, local governments’ environmental concerns have also increased. Therefore, can the local government mitigate the haze pollution by an emphasis on environmental concerns? Based on theoretical analysis, this paper uses text analysis and machine learning to construct local government environmental concerns indicators, and selects a panel of 284 cities in China from 2007 to 2020 for research. The study shows that local government environmental concerns effectively reduce haze pollution, and the conclusion still holds after considering robustness. Local government ecological concerns can force cities to improve green innovation and industrial structure optimization, alleviating haze pollution. There are heterogeneous effects of local government environmental concerns on haze pollution under different regions, different resource endowments, different central assessment systems and different changes in government officials; the Difference-In-Difference results show that, in addition to local government environmental concerns, central government ecological concerns can also reduce haze pollution. Based on the above findings, the central government should further improve the officials’ appraisal system and give play to the government’s active role in environmental governance.

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Does the public haze pollution concern expressed on online platforms promoted pollution control? – Evidence from Chinese online platforms

Cited by 41 publications

References 23 publications

Energy Efficiency and Pollution Control Through ICTs for Sustainable Development

Energy Efficiency and Pollution Control Through ICTs for Sustainable Development

Constructing a spatiotemporal situational awareness framework to sense the dynamic evolution of online public opinion on social media

How do government environmental concerns affect haze pollution?

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