
handle: 10037/33393
This thesis aims at answering the following legal question: to what extent can due diligence legislation be used in climate governance to fill in the corporate climate accountability gap through climate change litigation? The objective of this research is to critically assess the legal potential of due diligence legislation within corporate climate litigation cases. In other words, the research will assess the possible weaknesses in regards due diligence obligations, and how could they be remedied with in order to obtain a game changer when it comes to corporate climate change litigation. To conduct the research, a legal doctrinal research approach followed by a case study approach will be used in order to understand how due diligence legislation applies in practice. This thesis aims at contributing to the already existing body of literature on the subject of due diligence legislation and its potential role within corporate climate change litigation. The case study approach will allow to draw conclusions on the legal potential of due diligence legislation and most importantly on the aspects that need to be revised, reinforced, or even modified for it to fill the corporate climate accountability gap.
Environmental law, JUR-3920
Environmental law, JUR-3920
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
