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The mutualism of strategic environmental assessment and sustainable development goals
Date Issued
2020-05-01
Date Available
2025-07-22T13:50:51Z
Abstract
The Sustainable Development Goals (SDGs) set a universal agenda intended to stimulate social, economic and environmental action. Strategic Environmental Assessment (SEA) has the potential to assist in the implementation of actions supporting the SDGs by providing a systematic framework to incorporate them into policies, plans and programmes; and the SDGs in turn, could substantiate SEA's contribution to sustainable development. Therefore, the partnering of both policy instruments fosters a mutualistic relationship, benefiting both. In this paper, we review current engagement of SEA with the SDGs both in the academic literature and in practice. The findings reveal a recognisable subtle shift towards the adoption of a new paradigm in plan-making, particularly supported by governments' growingly proactive embracement of SDGs, albeit through different approaches, initiatives and commitments. This sets a robust foundation for spatial planning and, by extension, a reference framework for SEA. Nevertheless, operationalising the SDGs is difficult. The extent to which SDG objectives and targets are embedded in SEA and, indeed, integrated into plans/programmes seems to be hampered by the broad scope of both sustainability and SEA, and a general lack of awareness and know-how. This suggest a need to clarify SEA's mandate for engaging with the SDGs, as well as to provide training for a more proactive integration of the objectives and targets. Through initiatives such as these, there are opportunities to optimise mutual gains for both policy instruments.
Type of Material
Journal Article
Publisher
Elsevier
Journal
Environmental Impact Assessment Review
Volume
82
Copyright (Published Version)
2020 the Authors
Language
English
Status of Item
Peer reviewed
ISSN
0195-9255
This item is made available under a Creative Commons License
File(s)
No Thumbnail Available
Name
SEA and SDGs Paper Accepted 2March2020.docx
Size
88.84 KB
Format
Microsoft Word XML
Checksum (MD5)
13ab7d03dd138b328fe14e2b080e009a
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