4.7 Article

Internet use and individuals' environmental quality evaluation: Evidence from China

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 710, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.scitotenv.2019.136290

关键词

Internet use; Environmental quality evaluation; Negativity bias; Environmental risk; Environmental quality

资金

  1. National Social Science Foundation of China [18BJY108]
  2. National Natural Science Foundation of China [71873095, 71903151]
  3. Ministry of Education Key Projects of Philosophy and Social Sciences Research of China [15JZD026]
  4. International Exchange Program for Graduate Students of Tongji University [201902028]
  5. Major Project of the 13th Five-year Plan for Education Science in Shandong Province [ZZ2019066]
  6. MOE (Ministry of Education in China) Projects of Humanities and Social Sciences [19YJC790181]

向作者/读者索取更多资源

Identifying factors that influence the public's environmental quality perception is conducive to environmental protection and risk management. By employing data from the Chinese Social Survey (CGSS) and the ordinary least squares (OLS) method, the present study aims to explore the associations between Internet use and Chinese residents' environmental quality evaluation. The results show that, compared with non-netizens, netizens have a higher negative evaluation of environmental quality, which supports the negativity bias theory, namely, that netizens pay more attention to negative news related to environmental pollution on the Internet. Further study suggests that the impact of Internet use on environmental quality evaluation is heterogeneous across different categories of environmental issues and populations: Internet use has greater effects on risk perception of environmental issues that are closely related to residents' lives. In addition, Internet use has a greater negative impact on environmental quality evaluation for older people and rural residents. Finally, this paper utilizes a substitution variable method, propensity score matching (PSM) and quantile regression to conduct the robustness check. (C) 2019 Elsevier B.V. All rights reserved.

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