Accounting for the importance of psychological distance in assessing public preferences for air quality improvement policies: an application of the integrated choice and latent variable model

Wei, Yuehua; Mao, Biqi; Xu, Lishan; Ao, Changlin

doi:10.1007/s11356-023-25683-5

Cited by 2 publications

(1 citation statement)

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“…A decrease in psychological distance leads to an increase in specific emotions, such as fear, while an increase in psychological distance leads to an increase in hope (Chu & Yang, 2019). Psychological distance significantly influences public preferences for environmental policies, with closer psychological distance making the public more supportive of such policies (Wei et al, 2023). The more distant climate change is perceived in time and space, the less support the corresponding policy achieves (Singh et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Carbon Neutrality Goal Is Too Far Away? Residents' Psychological Distance of Low-Carbon Policy Over Time and Space in China

Liu¹,

Sun²

2023

GLCE

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Residents' psychological time and space distance from the low-carbon policy can affect their support for the policy. The objective of this study is to investigate the psychological spatiotemporal distance of Chinese residents toward low-carbon policies and its influencing factors. Structural equation modeling was used in this study. Based on the data from the questionnaire survey, we found that most of the interviewed residents had a psychological time distance of 21–30 years for low-carbon policies, while the spatial distance was in the "global" range. Therefore, the goal of achieving carbon neutrality by 2060 exceeds the psychological time distance of the interviewed residents. The results of the structural equation model showed that residents' psychological time distance toward low-carbon policies is significantly and positively correlated with policy effects, policy costs, and residents' low-carbon values and attitudes. Residents' psychological spatial distance to low-carbon policies was significantly and positively correlated with the effects of low-carbon policies and residents' low-carbon values and attitudes.

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Section: Introductionmentioning

confidence: 99%