Does public opinion affect air quality? Evidence based on the monthly data of 109 prefecture-level cities in China

Zhang, Shengling; Li, Yue; Hao, Yu; Zhang, Yipeng

doi:10.1016/j.enpol.2018.02.025

Cited by 91 publications

(30 citation statements)

References 27 publications

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“…66 Duan and Sheng 2018. 67 Tang, Chen and Wu 2018Zhang et al 2018. 68 Yang 2005Stalley and Yang 2006;Ru and Ortolano 2009;Zhan and Tang 2013;Bernauer et al 2016;Teets 2018. climate plans and programmes, but one important driver for the effectiveness of China's climate policies is Chinese citizens' GWCC concern.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Examining Public Concern about Global Warming and Climate Change in China

Liu

Feng

Portney

et al. 2019

The China Quarterly

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AbstractTo what degree are Chinese citizens concerned about the seriousness of global warming and climate change (GWCC) and what are the key factors that shape their concern? Drawing theoretical insights from extant literature and using recent data from a national representative public survey (N = 3,748) and provincial environmental and economic statistics, this study, the first of its kind, examines the variations and determinants of Chinese GWCC concern. Our data show that in China, compared to other countries, average public concern about GWCC is relatively low, and concern varies greatly among Chinese citizens, across different provinces and between coastal and inland areas. Statistical analyses reveal that the levels of Chinese GWCC concern are significantly influenced by individual sociodemographic characteristics, personal post-materialist values, and regional economic dependency on carbon-intensive industries. Specifically, women and younger Chinese with greater post-materialist values are more concerned about GWCC than their counterparts, and citizens from provinces with higher economic dependency on carbon-intensive industries tend to be less concerned about GWCC than people from provinces with lower carbon dependency. We discuss key policy implications and make suggestions for future research in the conclusion.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Examining Public Concern about Global Warming and Climate Change in China

Liu

Feng

Portney

et al. 2019

The China Quarterly

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show abstract

“…The Legal Index was built to reflect local legal regulatory stringency, which can be extracted from the Yearbook of China City Competitiveness. As documented by prior studies, public opinion may affect environmental governance by putting pressure on local governments [63,64]. Traditional collective behavior has been dramatically changed by the internet.…”

Section: Methodsmentioning

confidence: 97%

Government Environmental Information Disclosure and Environmental Performance: Evidence from China

Zhu

Yun-li²,

Meng

2021

Sustainability

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Government environmental information disclosure (GEID) is a key policy instrument in environmental governance. Local governments in China are improving the disclosure level of environmental information, but does the environmental information disclosed by local governments reflect the existing state of the local ecological environment? This paper analyzes the correlation between GEID and environmental performance and verifies whether or not the environmental information disclosed by local governments can reflect actual local ecological environment conditions. Based on data from Chinese cities, this paper adopts a multiple regression method, and the results show that the environmental information disclosed by governments can reflect the local environmental performance as a whole, and the higher the level of GEID, the better the local environmental performance; but the relationship between the two has significant regional differences. In eastern China, the higher the level of GEID, the better the local environmental performance. In central and western China, the correlation between GEID and environmental performance is not significant. In addition, it should be noted that the correlation between the level of GEID and the emission intensity of water pollutants is not significant in all regions. This study contributes to further clarifying the effectiveness of GEID policy and identifying a breakthrough for the optimization of environmental policies faced with the dilemma of serious environmental pollution and urgent economic development needs.

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“…As air pollution is one of causes of death and disability, it is increasingly recognized as a worldwide public health concern [1,2,3,4,5,6,7]. Atmospheric particle matter (PM), especially those having an aerodynamic diameter less than 2.5 um (PM 2.5 ), is considered one of the priority pollutants in air [8,9,10]. As the smog worsened, PM 2.5 pollution became the main air pollutant in China and played a non-negligible role in affecting Chinese residents’ health [11,12,13].…”

Section: Introductionmentioning

confidence: 99%

Spatial-Temporal Effects of PM2.5 on Health Burden: Evidence from China

Zeng

Zhang

2019

IJERPH

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By collecting the panel data of 29 regions in China from 2008 to 2017, this study used the spatial Durbin model (SDM) to explore the spatial effect of PM2.5 exposure on the health burden of residents. The most obvious findings to emerge from this study are that: health burden and PM2.5 exposure are not randomly distributed over different regions in China, but have obvious spatial correlation and spatial clustering characteristics. The maximum PM2.5 concentrations have a significant positive effect on outpatient expense and outpatient visits of residents in the current period, and the impact of PM2.5 pollution has a significant temporal lag effect on residents’ health burden. PM2.5 exposure has a spatial spillover effect on the health burden of residents, and the PM2.5 concentrations in the surrounding regions or geographically close regions have a positive influence on the health burden in the particular region. The impact of PM2.5 exposure is divided into the direct effect and the indirect effect (the spatial spillover effect), and the spatial spillover effect is greater than that of the direct effect. Therefore, we conclude that PM2.5 exposure has a spatial spillover effect and temporal lag effect on the health burden of residents, and strict regulatory policies are needed to mitigate the health burden caused by air pollution.

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Does public opinion affect air quality? Evidence based on the monthly data of 109 prefecture-level cities in China

Cited by 91 publications

References 27 publications

Examining Public Concern about Global Warming and Climate Change in China

Examining Public Concern about Global Warming and Climate Change in China

Government Environmental Information Disclosure and Environmental Performance: Evidence from China

Spatial-Temporal Effects of PM2.5 on Health Burden: Evidence from China

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