Environmental non-governmental organizations and air-pollution governance: Empirical evidence from OECD countries.
Based on the panel data of environmental Non-Governmental Organizations (ENGOs) and air pollution in OECD countries, this paper uses econometric model to investigate the governance effect of ENGOs on air pollution. The results show that: ENGOs have a positive impact on the improvement of environment...
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Public Library of Science (PLoS)
2021
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oai:doaj.org-article:10350502c84a49699e5221f0d46e81902021-12-02T20:08:45ZEnvironmental non-governmental organizations and air-pollution governance: Empirical evidence from OECD countries.1932-620310.1371/journal.pone.0255166https://doaj.org/article/10350502c84a49699e5221f0d46e81902021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0255166https://doaj.org/toc/1932-6203Based on the panel data of environmental Non-Governmental Organizations (ENGOs) and air pollution in OECD countries, this paper uses econometric model to investigate the governance effect of ENGOs on air pollution. The results show that: ENGOs have a positive impact on the improvement of environmental quality, and the results are still valid after a series of robustness tests; Further mechanism analysis found that the environmental improvement by ENGOs is mainly achieved by increasing investment in environmental protection. This study provides empirical evidence for the effect of ENGOs on air pollution, and further provides ideas for environmental governance.Guangqin LiQiao HeDongmei WangBofan LiuPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 8, p e0255166 (2021) |
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Medicine R Science Q |
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Medicine R Science Q Guangqin Li Qiao He Dongmei Wang Bofan Liu Environmental non-governmental organizations and air-pollution governance: Empirical evidence from OECD countries. |
description |
Based on the panel data of environmental Non-Governmental Organizations (ENGOs) and air pollution in OECD countries, this paper uses econometric model to investigate the governance effect of ENGOs on air pollution. The results show that: ENGOs have a positive impact on the improvement of environmental quality, and the results are still valid after a series of robustness tests; Further mechanism analysis found that the environmental improvement by ENGOs is mainly achieved by increasing investment in environmental protection. This study provides empirical evidence for the effect of ENGOs on air pollution, and further provides ideas for environmental governance. |
format |
article |
author |
Guangqin Li Qiao He Dongmei Wang Bofan Liu |
author_facet |
Guangqin Li Qiao He Dongmei Wang Bofan Liu |
author_sort |
Guangqin Li |
title |
Environmental non-governmental organizations and air-pollution governance: Empirical evidence from OECD countries. |
title_short |
Environmental non-governmental organizations and air-pollution governance: Empirical evidence from OECD countries. |
title_full |
Environmental non-governmental organizations and air-pollution governance: Empirical evidence from OECD countries. |
title_fullStr |
Environmental non-governmental organizations and air-pollution governance: Empirical evidence from OECD countries. |
title_full_unstemmed |
Environmental non-governmental organizations and air-pollution governance: Empirical evidence from OECD countries. |
title_sort |
environmental non-governmental organizations and air-pollution governance: empirical evidence from oecd countries. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2021 |
url |
https://doaj.org/article/10350502c84a49699e5221f0d46e8190 |
work_keys_str_mv |
AT guangqinli environmentalnongovernmentalorganizationsandairpollutiongovernanceempiricalevidencefromoecdcountries AT qiaohe environmentalnongovernmentalorganizationsandairpollutiongovernanceempiricalevidencefromoecdcountries AT dongmeiwang environmentalnongovernmentalorganizationsandairpollutiongovernanceempiricalevidencefromoecdcountries AT bofanliu environmentalnongovernmentalorganizationsandairpollutiongovernanceempiricalevidencefromoecdcountries |
_version_ |
1718375105920237568 |