Impact assessment has been in place for over 40 years and is now practised in some form in all but two of the world's nations. In this paper we reflect on the state of the art of impact assessment theory and practice, focusing on six well-established forms: EIA, SEA, policy assessment, SIA, HIA and sustainability assessment. We note that although the fundamentals of impact assessment have their roots in the US National Environmental Policy Act 1969 (NEPA) each branch of the field is distinct in also drawing on other theoretical and conceptual bases that in turn shape the prevailing discourse in each case, generating increasing degrees of specialisation within each sub-field. Against this backdrop, we consider the strengths and weaknesses of collective impact assessment practice, concluding that although there are substantial strengths, the plethora of specialist branches is generating a somewhat confusing picture and lack of clarity regarding how the pieces of the impact assessment jigsaw puzzle fit together. We use this 2 review to suggest an overarching research agenda that will enable impact assessment to evolve in line with changing expectations for what it should deliver.
We suggest that the impact assessment community has lost its way based on our observation that impact assessment is under attack because of a perceived lack of efficiency. Specifically, we contend that the proliferation of different impact assessment types creates separate silos of expertise and feeds arguments for not only a lack of efficiency but also a lack of effectiveness of the process through excessive specialisation and a lack of interdisciplinary practice. We propose that the solution is a return to the basics of impact assessment with a call for increased integration around the goal of sustainable development and focus through better scoping. We rehearse and rebut counter arguments covering silo-based expertise, advocacy, democracy, sustainability understanding and communication. We call on the impact assessment community to rise to the challenge of increasing integration and focus, and to engage in the debate about the means of strengthening impact assessment.
In the context of continuing uncertainty, ambiguity and ignorance in impact assessment (IA) prediction, the case is made that existing IA processes are based on false 'normal' assumptions that science can solve problems and transfer knowledge into policy. Instead, a 'post-normal science' approach is needed that acknowledges the limits of current levels of scientific understanding. We argue that this can be achieved through embedding evolutionary resilience into IA; using participatory workshops; and emphasizing adaptive management. The goal is an IA process capable of informing policy choices in the face of uncertain influences acting on socio-ecological systems. We propose a specific set of process steps to operationalise this post-normal science approach which draws on work undertaken by the Resilience Alliance. This process differs significantly from current models of IA, as it has a far greater focus on avoidance of, or adaptation to (through incorporating adaptive management subsequent to decisions), unwanted future scenarios rather than a focus on the identification of the implications of a single preferred vision. Implementing such a process * corresponding author 2 would represent a culture change in IA practice as a lack of knowledge is assumed and explicit, and forms the basis of future planning activity, rather than being ignored.
Recently, various EIA systems have been subjected to system review processes with a view to improve performance. Many of these reviews resulted in some form of legislative reform. The South African Environmental Impact Assessment (EIA) regulations were modified in 2006 with the express intent to improve EIA effectiveness. In order to evaluate to what extent the desired outcome was achieved, the quality of EIA reports produced under the 2006 regulations was investigated for comparative analysis with the preceding regime. A sample of EIA reports from the two legislative regimes was reviewed using an adapted version of a well established method known colloquially as the "Lee and Colley" review package. Despite some improvements in certain aspects, overall report quality has decreased slightly from the 1997 EIA regime. It therefore appears that the modifications to the regulations, often heralded as the solution to improvements in performance have not resulted in improved quality of EIA reports.
Dealing with trade-offs lies at the heart of environmental impact assessment (EIA). However, there has been scant reflection to date on the concept of trade-offs within the EIA literature. This paper aims to contribute to the thinking about trade-offs by distilling key learning points from research conducted within the field of psychology. In particular, the paper explores three interrelated questions namely: When are trade-off decisions difficult? How do we react when faced with difficult trade-off decisions? And how can we deal with difficult trade-off decisions? The research confirms that EIA functions within a very difficult trade-off decision-making context and that observed behaviour related to these difficult decisions can be explained from a psychology perspective. In order to deal better with trade-off decisions, it is helpful to be able to predict decision difficulty and anticipate resultant behaviour. Moreover, the way we present and frame decisions affects their outcomes.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.