Prompted by the increasing public focus on environmental policy and the continuous inability of States to reach environmental targets agreed upon in the context of the United Nations and the European Union, we explore the development of discourses within the Danish public agenda regarding nature management 2016-2021. This is done through a mixed-methods framework of discourse analysis and structural topic modeling based on documents from the Danish Parliament's Environmental committee 2016-2021, estimating topic prevalence, and analyzing the discourses within each topic, resulting in a qualitative overview of 21 identified topics and their associated discourses and an overview of how the different topic proportions changed over time. A shift in the public agenda was found: a change from discussions about untouched forest focused on trade-offs between timber extraction and biodiversity, to a discussion about different understandings of animal welfare in the context of large grazers in nature national parks in Denmark.
Keywords: Environmental discourse; Environmental policy administration; Machine learning; Natural language processing (nlp); Text mining.
© 2023. The Author(s).