37 research outputs found

    Developing a comparative marine socio-economic framework for the European Atlantic Area

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    Availability and easy access to a wide range of natural and human-activity data on the oceans and coastal regions of Europe is the basis for strategic decision-making on coastal and marine policy. Strategies within Europe’s Integrated Maritime Policy, including the Maritime Strategy for the Atlantic Area, Blue Growth, Maritime Spatial Planning and Marine Data and Knowledge, require coherent and comparable socio-economic data across European countries. Similarly, the Marine Strategy Framework Directive requires member states to carry out economic and social analysis of their waters and the reformed Common Fisheries Policy includes a social dimension requiring socio-economic data. However, the availability of consistent, accessible marine socio-economic data for the European Atlantic Arc regions is limited. Ocean economy studies have been undertaken in some countries (for example, Ireland, France, and UK) but timescales and methodologies are not necessarily comparable. Marnet is an EU transnational co-operation project involving eight partners from five member states of the Atlantic Area (Ireland, Spain, UK, France and Portugal). Marnet has developed a methodology to collate comparable marine socio-economic data across the Atlantic regions. The comparative marine socio-economic information system developed by Marnet could provide a template for other European States to follow that could potentially facilitate the construction of a Europe-wide marine economic information system as envisaged under the EU Integrated Maritime Policy

    Blue Growth: A Transitions Approach to Developing Sustainable Pathways

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    The sustainable management of Blue Growth is an urgent issue for coastal states. Marine industries have rapidly expanded over the last two decades and this is projected to continue with the European Green Deal and post-COVID economic recovery policies. The intensification of Blue Growth could have adverse socio-ecological implications and must, therefore, be managed in terms of sustainability, natural resource boundaries, and coastal community well-being. Managing Blue Growth in a sustainable manner however, is challenging due to the longstanding inefficiencies and inertia of existing marine governance regimes. Adopting a transitions approach has been advanced as a way of steering regime change so that it is not inhibited by these persistent problems. This paper reports on four case studies that adopt transitions thinking and use the multi-level perspective as a broad analytical framework through which to understand institutional dynamics, drivers and responses within core marine sectors. Our case studies analysis reveals several significant pressures for regime change within key marine sectors. These pressures need to be addressed through the adoption of a transition management approach. By adopting this approach and engaging key stakeholders, national and EU marine governance authorities can develop sustainable Blue Growth pathways that minimize the impact of continued growth on communities and the marine environment, maximizing the implementation of sustainable practices and addressing issues such as biodiversity loss and climate change

    Challenges in measuring indicators of progress for the Atlantic Action Plan

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    The EU Atlantic Action Plan (AAP) has recently been updated and revised to support ‘blue growth’ along Europe’s western coastal regions. The revisions reflect recent challenges facing the Atlantic Arc maritime economies including the Covid-19 crisis, Brexit and the new requirements of the European Green Deal. This new revision, termed AAP 2.0, also addresses some of the weaknesses highlighted in the original Atlantic Action Plan particularly regarding identifying indicators that may be used to measure progress in the achievement of the Plan’s objectives. Using a database with comparable marine socio-economic data across the Atlantic regions, a number of indicators are identified that may be used to monitor progress of the AAP 2.0. Recent trends and spatial distributions across the Atlantic Arc region are shown for these indicators. The challenges in measuring progress are also highlighted, including where some AAP objectives and associated indicators may conflict with other EU policy aims and where the current monitoring framework can be bolstered with the inclusion of new indicators

    Assessing economic impacts of environmental research infrastructures: overview of methodological tools

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    The data generated by environmental research infrastructures (ENV RIs) are key to analysing the quality of general living standards and the conditions of development of environmentally sensitive economic activities: monitoring the atmosphere and ocean is increasingly and critically important in a context marked by the risks caused by global warming. Given the cost of ENV RIs, their benefits to society, in terms of economic impacts, must be assessed and demonstrated. The primary objective of this article is to review the main tools used to assess the economic impacts of ENV RIs and to propose a methodological framework. The latter classifies the impacts into three categories: (1) upstream impacts on equipment suppliers; (2) downstream impacts on the performance and quality of observational data, monitoring services and forecasts; and (3) feedback impacts in terms of improved knowledge about the environment to the benefit of economic activities. In this framework, the entire data and service supply chain is considered for the assessment of impacts. An ocean-related case study serves as a practical example: Argo, a global in situ ocean observing system, provides an understanding of the supply chain from upstream suppliers of ENV RIs to primary and processed ocean data providers. It highlights the methodological issues involved in assessing the different categories of impacts. The article gives precedence to tried and tested methods. It concludes that further work and more data are needed to improve assessment methods
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