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Influencing Factors of Environmental Risk Perception during the COVID-19 Epidemic in China

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  • Jingfei Zhang

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
    Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Henan University, Kaifeng 475004, China)

  • Zhicheng Zheng

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
    Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Henan University, Kaifeng 475004, China)

  • Lijun Zhang

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
    Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Henan University, Kaifeng 475004, China)

  • Yaochen Qin

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
    Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Henan University, Kaifeng 475004, China
    Key Research Institute of Yellow River Civilization and Sustainable Development and Collaborative Innovation Center on Yellow River Civilization Jointly Built by Henan Province and Ministry of Education, Henan University, Kaifeng 475004, China)

  • Jieran Duan

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
    Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Henan University, Kaifeng 475004, China)

  • Anyi Zhang

    (College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
    Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Henan University, Kaifeng 475004, China)

Abstract

The spread of COVID-19 is having a serious impact on socioeconomic development, and increased environmental risk perception (ERP). ERP provide new ideas for the orderly recovery of society. However, there have been studies that often pay attention to individual factors, and less concerned about the external environment. In fact, ERP will be affected by the external environment and individual factors. We used a Python script to collect 65,277 valid Weibo comments during the COVID-19 epidemic in China to assess urban residents’ environmental risk perception (ERP). SnowNLP emotion analysis was used to measure the ERP of 366 urban in China, and the structural proportion characteristics and spatial-temporal differentiation of ERP were analyzed. Then, an order logistic regression model was used to investigate the relationship between economic level, social security, medical facilities and ERP. The study investigated the Chinese cities have a higher ERP during the COVID-19 period, and it shows marked fluctuations. As COVID-19 spreads, the ERP shows a distribution pattern of “high in the southeast and low in the northwest” with Hu line as the boundary and “from high to low” with Wuhan as the high value center. COVID-19 serves as catalysts for ERP, the impact of COVID-19 is enhanced after socioeconomic factors are considered. The economic level effectively regulates ERP, except the stage of accelerating diffusion. ERP is effectively stabilized by social security and medical facilities. After considering all the variables simultaneously, we found that the mitigation effect of social security and medical facilities on ERP has improved.

Suggested Citation

  • Jingfei Zhang & Zhicheng Zheng & Lijun Zhang & Yaochen Qin & Jieran Duan & Anyi Zhang, 2021. "Influencing Factors of Environmental Risk Perception during the COVID-19 Epidemic in China," IJERPH, MDPI, vol. 18(17), pages 1-21, September.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:17:p:9375-:d:629515
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    References listed on IDEAS

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    1. Chongyu Yue & Cuiping Liu & Jing Wang & Meng Zhang & Hongjing Wu & Chunrong Li & Xiuling Yang, 2021. "Association between social support and anxiety among pregnant women in the third trimester during the coronavirus disease 2019 (COVID-19) epidemic in Qingdao, China: The mediating effect of risk perce," International Journal of Social Psychiatry, , vol. 67(2), pages 120-127, March.
    2. Matthew I. Curnock & Nadine A. Marshall & Lauric Thiault & Scott F. Heron & Jessica Hoey & Genevieve Williams & Bruce Taylor & Petina L. Pert & Jeremy Goldberg, 2019. "Shifts in tourists’ sentiments and climate risk perceptions following mass coral bleaching of the Great Barrier Reef," Nature Climate Change, Nature, vol. 9(7), pages 535-541, July.
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    Cited by:

    1. Zijing Ye & Ruisi Li & Jing Wu, 2022. "Dynamic Demand Evaluation of COVID-19 Medical Facilities in Wuhan Based on Public Sentiment," IJERPH, MDPI, vol. 19(12), pages 1-22, June.
    2. Tao Shu & Zhiyi Wang & Huading Jia & Wenjin Zhao & Jixian Zhou & Tao Peng, 2022. "Consumers’ Opinions towards Public Health Effects of Online Games: An Empirical Study Based on Social Media Comments in China," IJERPH, MDPI, vol. 19(19), pages 1-19, October.
    3. Kuiyun Zhi & Qiurong Tan & Si Chen & Yongjin Chen & Xiaoqin Wu & Chenkai Xue & Anbang Song, 2022. "How Does Social Security Fairness Predict Trust in Government? The Serial Mediation Effects of Social Security Satisfaction and Life Satisfaction," IJERPH, MDPI, vol. 19(11), pages 1-14, June.
    4. Qihui Xie & Yanan Xue, 2022. "The Prediction of Public Risk Perception by Internal Characteristics and External Environment: Machine Learning on Big Data," IJERPH, MDPI, vol. 19(15), pages 1-20, August.
    5. Wuyue An & Lin Wang & Dongfeng Zhang, 2023. "Comprehensive commodity price forecasting framework using text mining methods," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1865-1888, November.
    6. Jiyoung Oh & Heykyung Park, 2022. "Effects of Changes in Environmental Color Chroma on Heart Rate Variability and Stress by Gender," IJERPH, MDPI, vol. 19(9), pages 1-20, May.

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