Does internet public participation slow down environmental pollution?

Wu, Wenqi; Wang, Wenwen; Zhang, Ming

doi:10.1016/j.envsci.2022.08.006

Cited by 39 publications

(9 citation statements)

References 55 publications

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“…In addition to how institutions influence the development and implementation of policy, the relationship between participatory path dependency and internal dynamics and interactions among public participants is expanding [ 5 , 19 ]. Given the growing normalization and diversification of many kinds of participation, including the Internet, it is critical to strengthen the analysis of public involvement pathways from the standpoint of the governance system [ 20 ].…”

Section: Theoretical Basis and Assumptionsmentioning

confidence: 99%

Research on Motivational Mechanisms and Pathways for Promoting Public Participation in Environmental Protection Behavior

Chen

Cai

et al. 2023

IJERPH

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Public participation in environmental protection is an essential component of evaluating the effectiveness of ecological and environmental protection. General awareness, social dynamics, and cognitive preferences frequently impact the protection’s impact. The aim of this study is to investigate the correlation research on the confluence of mainstream awareness, social factors, and cognitive preferences by building a theoretical model. First, this work employs partial least squares structural equation modelling (PLS-SEM). Second, using the mediation model, the research describes and examines the factors that motivate public involvement in ecological and environmental conservation. Third, the research summarizes the suggested path countermeasures to offer practical advice and helpful ecological and environmental protection solutions. The findings demonstrate that mainstream policy leadership substantially impacts environmental conservation. Leadership in policy matters restricts the group’s natural awareness of social factors. The subjective quality and competence basis in cognitive preferences are significantly influenced by policy leadership. Policy leadership significantly influences the effectiveness of environmental protection through the mediating factor of cognitive preferences. The ability base has a considerable mediating effect on cognitive preferences.

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Section: Theoretical Basis and Assumptionsmentioning

confidence: 99%

Research on Motivational Mechanisms and Pathways for Promoting Public Participation in Environmental Protection Behavior

Chen

Cai

et al. 2023

IJERPH

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“…With the advent of the big data era, more and more scholars started focusing on the large-scale user behavior data generated on the network. Many researchers utilized text mining techniques to analyze some issues, such as biomedicine [ 4 , 6 , 64 ], risk management [ 3 ] and public sentiment [ 65 ]. Kolyshkina and Rooyen [ 66 ] employed text mining technology to assess the impact of text information in claim cost prediction and clarify the new risk management factors.…”

Section: Literature Reviewmentioning

confidence: 99%

“…However, this spectacular economic performance is at the expense of the natural environment and ecological resources, resulting in heavy consequences [ 1 ]. Achieving carbon peaking and carbon neutrality is an extensive and profound economic and social systemic change, they should be incorporated into the overall layout of ecological civilization construction [ 2 – 4 ]. In the context of carbon neutrality, garbage classification is one of the effective ways to alleviate resource and environmental constraints [ 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

Exploring the motivations and obstacles of the public's garbage classification participation: evidence from Sina Weibo

Zhang

2023

J Mater Cycles Waste Manag

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China has been implementing garbage classification to improve resource recycling for many years. Since garbage classification is essentially a social activity, it needs the active participation of the public. However, the phenomenon of "high practice, low effect" is widespread in most cities. Therefore, this paper uses the data from Sina Weibo to analyze the reasons for the poor garbage classification effect. First, the key factors affecting residents' willingness to participate in garbage classification are identified based on the text-mining method. Further, this paper analyzes the reasons that promote or hinder the residents' intention of garbage classification. Finally, the resident's attitude towards garbage classification is explored by the score of the text's emotional orientation, and further the reasons for the positive and negative emotional orientation are analyzed, respectively. The main conclusions are as follows: (1) The proportion of residents holding negative sentiment towards garbage classification is as high as 55%. (2) Residents' positive emotions are mainly caused by the public's sense of environmental protection inspired by publicity and education, and the incentive measures taken by the government. (3) The main reasons for negative emotions are imperfect infrastructure and unreasonable garbage sorting arrangements.

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“…The core explanatory variable is public environmental attention (pec). Drawing lessons from previous research, Baidu keyword search is used as the proxy variable of public environmental attention [53][54][55]. With the development of the internet, web search data based on recording the behavior of netizens in internet searches can attract the attention of market subjects to specific events in a timely manner and reflect their preferences and behavioral intentions [56].…”

Section: Independent Variablesmentioning

confidence: 99%

Impact of Public Environmental Concerns on the Digital Transformation of Heavily Polluting Enterprises

Sun

Xie

2022

IJERPH

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China is currently facing the arduous tasks of energy conservation, emission reduction and structural transformation, making it of great significance to study the digital transformation of heavily polluting enterprises. As an important informal regulatory system, public environmental concerns affect corporate environmental behavior by increasing external environmental pressure. This study uses the data of listed companies in China’s heavily polluting industries from 2012 to 2020 and Baidu Index data to analyze how public environmental concerns affect the digital transformation of heavily polluting enterprises. This study finds that public environmental concerns can significantly promote the digital transformation of heavily polluting enterprises. For non-state-owned, green image and high-tech enterprises, the impact is even more obvious. Furthermore, based on the structural and hierarchical perspective of enterprise digital transformation, we find that public environmental concerns significantly promote digital technology application. This study puts forward some suggestions for government departments to formulate environmental protection regulations, enterprises to fulfill their green responsibilities and the public to participate in environmental governance.

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Does internet public participation slow down environmental pollution?

Cited by 39 publications

References 55 publications

Research on Motivational Mechanisms and Pathways for Promoting Public Participation in Environmental Protection Behavior

Research on Motivational Mechanisms and Pathways for Promoting Public Participation in Environmental Protection Behavior

Exploring the motivations and obstacles of the public's garbage classification participation: evidence from Sina Weibo

Impact of Public Environmental Concerns on the Digital Transformation of Heavily Polluting Enterprises

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