4.7 Article

Environmental non-governmental organizations and urban environmental governance: Evidence from China

Journal

JOURNAL OF ENVIRONMENTAL MANAGEMENT
Volume 206, Issue -, Pages 1296-1307

Publisher

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jenvman.2017.09.076

Keywords

Environmental non-governmental organizations; Environmental governance; Public participation; Difference-in-differences model; China

Funding

  1. National Natural Science Foundation of China [71773075, 71373153]
  2. Major Project of National Social Science Foundation of China [14ZDB144]
  3. Shuguang Program - Shanghai Education Development Foundation
  4. Shanghai Municipal Education Commission [14SG32]
  5. Natural Science Foundation of Zhejiang Province in China [LY18G030014]

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Environmental non-governmental organizations (ENGOs) play an increasingly important role in the process of urban environmental governance, especially in some developing countries such as China. However, existing studies pay little attention to such an issue in China. In this paper, we consider 113 cities in China from the pollution information transparency index (PITI) list released by ENGOs as the treatment group and some other cities as the control group, and use the difference-in-differences (DID) model and propensity score matching DID (PSM-DID) model to explore the role of ENGOs in China's urban environmental governance. The results show that ENGOs play a significantly positive and robust role in China's urban environmental governance. Furthermore, using regression analysis for eastern, central, and western China, we find that the influence of ENGOs exists in eastern and central China rather than in western China. In addition, the results of the Placebo test indicate that the effect of ENGOs shows an upward trend since 2008. We suggest that ENGOs' role should be strengthened in China, and governments at various levels should take into account environmental information released by ENGOs and consider appropriate measures to improve local environment quality using the obtained information. (C) 2017 Elsevier Ltd. All rights reserved.

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