Can machine learning predict environmental attitudes and beliefs?

Beliefs and attitudes regarding climate change significantly influence public support for environmental policy regulations and willingness to engage in voluntary actions. This paper endeavours to forecast public perceptions concerning global warming, anthropogenic climate change, support for environmental tax policies, and the inclination to purchase energy-efficient home appliances. Leveraging data from the European Social Survey, we employ four machine learning techniques to anticipate individuals' environmental beliefs and attitudes. Across various settings, our analysis achieves an accuracy of over 70% in identifying environmentally conscious respondents.