Effects of attitudinal and sociodemographic factors on pro-environmental behaviour in urban China

  • Xiaodong Chen
  • , M. Nils Peterson
  • , Vanessa Hull
  • , Chuntian Lu
  • , Graise D. Lee
  • , Dayong Hong
  • , Jianguo Liu

Research output: Contribution to journalArticlepeer-review

207 Scopus citations

Abstract

China currently faces severe environmental challenges, and information regarding the predictors of pro-environmental behaviour in China is needed to manage them. This study addresses this need by modelling the sociodemographic and attitudinal factors predicting pro-environmental behaviour in urban China. Pro-environmental behaviour was modelled as a function of environmental attitude (measured using the new environmental paradigm) and various sociodemographic characteristics. Respondents who were employed, holding leadership positions, living in larger cities and single were more likely to participate in pro-environmental behaviour. These results accord with previous studies suggesting being female, younger, highly educated and having environmentally oriented attitudes increased the odds of participating in pro-environmental behaviour. The rapid urbanization and economic development in China may significantly impact pro-environmental behaviour in the future.

Original languageEnglish
Pages (from-to)45-52
Number of pages8
JournalEnvironmental Conservation
Volume38
Issue number1
DOIs
StatePublished - Mar 2011
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • China
  • environmental attitude
  • new environmental paradigm
  • odds ratio
  • pro-environmental behaviour

Fingerprint

Dive into the research topics of 'Effects of attitudinal and sociodemographic factors on pro-environmental behaviour in urban China'. Together they form a unique fingerprint.

Cite this