Correlation between PM2.5 pollution and its public concern in China: Evidence from Baidu Index

Li, Wenli; Gao, Yang; Li, Xianneng

doi:10.1016/j.jclepro.2021.126091

Cited by 59 publications

(27 citation statements)

References 59 publications

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“…Data sources include the number of netizens' behaviors such as reading, commenting, forwarding, praising, and disliking. In fact, the Baidu index can be used to explore the relationship between air quality and public behavior [11]. To select representative keywords, keywords need to be filtered, because grey correlation analysis is often used to analyze the degree of correlation between two variables.…”

Section: Baidu Indexmentioning

confidence: 99%

“…e collection methods of data not only consume a lot of time, but also may not achieve the expected results [9]. With the advent of the era of big data, the public's network search behavior is widely used in forecast research [10][11][12]. In fact, the public's Internet search behavior can also be used to analyze air quality.…”

Section: Introductionmentioning

confidence: 99%

“…e changing trends of the public's network search data reflect the development trend of air quality [4,13]. Besides, different regions have different search habits of air quality [11].…”

Section: Introductionmentioning

confidence: 99%

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Air Pollution and the Public Perception Level and Self-Protection Demand in Three Cities of China: Fractional Grey Modelling Analysis

Zhao

2021

Journal of Mathematics

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To improve air pollution and human health, a novel grey prediction model with fractional-order accumulation and new information priority accumulation is proposed to analyze and predict the public perception level, self-protection demands, and environmental protection behavior of air pollution. The study in three cities of China shows that the public’ perception level will rise rapidly, and the speed will continue to accelerate with the further deterioration of air quality. Among them, Beijing’s public perception is the most sensitive and strong. The protection needs of the Tianjin public are the most sensitive. The Shijiazhuang public shows a strong desire for environmental protection. This study will help in understanding the relationship between the public and air quality.

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Section: Baidu Indexmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Air Pollution and the Public Perception Level and Self-Protection Demand in Three Cities of China: Fractional Grey Modelling Analysis

Zhao

2021

Journal of Mathematics

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“…The Baidu index is a big data indicator that can be utilized to measure and characterize the online search behavior of large numbers of netizens. It uses search volume as the statistical basis with which to calculate the weighted sum of the search frequency of a specific keyword on Baidu web pages, and displays it in the form of a graph, reflecting netizens' acquisition and access of information for an issue during a specific period of time [37,46].…”

Section: Baidu Indexmentioning

confidence: 99%

“…In China, Baidu is the most commonly used search engine, with over 80% of the market share [45], and the Baidu Search Index is suitable for use in research and is easily obtained. Currently, many studies are based on the Baidu index, which are mainly related to air pollution [46], greenhouse gases [37], homeland security [36], COVID-19 [47], Internet celebrity scenic spots [48], and other topics; however, public perspectives on the Beautiful Village Initiative are not considered, which is not conducive to understanding public opinion and concern to this end.…”

Section: Introductionmentioning

confidence: 99%

Understanding Public Attention towards the Beautiful Village Initiative in China and Exploring the Influencing Factors: An Empirical Analysis Based on the Baidu Index

Yang

et al. 2021

Land

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The implementation of China’s Beautiful Village Initiative was an extraordinary achievement and aroused extensive public attention. However, existing research mostly focuses on the construction and seldom on public attention towards the Beautiful Village Initiative. For this reason, this paper investigated the spatiotemporal characteristics of public attention based on the Baidu index using time-constrained clustering and the spatial autocorrelation test. Our results showed that the evolutionary process can be divided into three stages: very little national attention (2011–2012), injection of a strong impetus (2013–2015), and rooted in the people’s minds (2016–2020). Spatially, provincial public attention demonstrated obvious spatial differentiation and stable spatial autocorrelation, with Low–Low clusters in Northwest China and High–High Clusters in East, Central, and North China. Spatial econometric models were further utilized to quantify the effects of socioeconomic factors on public attention. The results of the SEM model proved the existence of spatial spillover effects and indicated that the urbanization rate, population density, education level, and network popularity rate all positively affected public attention. The relationship between Beautiful Village construction and public attention was uncoordinated and, in most provinces, advances in public attention were ahead of the construction level. Our findings contribute to the understanding of public attention towards the Beautiful Village Initiative, and policy suggestions we proposed would be applied to increasing public awareness and participation.

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Study on the spatial nonlinear impact of haze pollution on residents’ health: a epidemiological perspective

Fu,

Sun

et al. 2024

Environ Dev Sustain

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Correlation between PM2.5 pollution and its public concern in China: Evidence from Baidu Index

Cited by 59 publications

References 59 publications

Air Pollution and the Public Perception Level and Self-Protection Demand in Three Cities of China: Fractional Grey Modelling Analysis

Air Pollution and the Public Perception Level and Self-Protection Demand in Three Cities of China: Fractional Grey Modelling Analysis

Understanding Public Attention towards the Beautiful Village Initiative in China and Exploring the Influencing Factors: An Empirical Analysis Based on the Baidu Index

Study on the spatial nonlinear impact of haze pollution on residents’ health: a epidemiological perspective

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