Open Access Peer-reviewed Research Article

The role of social trust in public participation in environmental governance: Empirical evidence from households in China

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Summary of the observed trust indicators
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Submitted   Jun 3, 2020
Published   Aug 7, 2020
Issue    Vol 2 No 2 (2020)
DOI   10.25082/REE.2020.02.005

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Xiaoping He corresponding author
China Center for Energy Economics Research, School of Economics, Xiamen University, Xiamen 361005, China

Abstract

This paper explored the role of social trust in public participating in environmental governance, by examining household decisions making on paying for the environment. The data was collected from World Values Survey which was conducted on over 1,900 residents in China. Individual’s trust profile was identified by applying the Latent Class Analysis (LCA) approach, respectively in interpersonal trust and institutional trust dimensions. The resulted posterior probabilities of trust classes obtained from LCA were used as predictors for household's payment decisions. The results show that in contemporary Chinese societies, "extended family trust” dominates in the interpersonal dimension, while "political trust" prevails in the institutional dimension. Social trust exerts positive impacts household’s willingness to pay for the environments, while the positive effects vary with trust patterns and payment patterns (donation pattern and tax pattern). Overall, interpersonal trust exerts weaker effect than institutional trust; the positive effect of trust is weaker in the tax pattern of paying than in the donation pattern of paying. The article concluded that generalized trust in institution is critical for improving civic participation in environmental governance.

Keywords
household decision, environmental governance, social capital, willingness to pay

Article Details

How to Cite
He, X. (2020). The role of social trust in public participation in environmental governance: Empirical evidence from households in China. Resources and Environmental Economics, 2(2), 191-206. https://doi.org/10.25082/REE.2020.02.005
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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