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INVESTING IN OUR COMMON FUTURE
2007-2013 Atlantic Area Programme
PROJECT MARNET ACTIVITY 8. PRACTICAL INITIATIVES
F Javier Fernández-MachoInstitute for Public EconomicsUniversity of the Basque Country(UPV/EHU)
Marnet/DG MARE Meeting Brussels, 9 Dec 2014
Activity 8: practical initiatives
1 Define practical applications of the marine socio-economic database… …that enhance competitiveness and innovation capacities in maritime economy niches of excellence.
Responsible partner: 4 (UPV/EHU)Partners involved: 1, 2, 3, 4, 5, 6, 7, and 10
Main goal of the activity (Project application):
Activity 8: practical initiativesActions related to the Activity 8
Action 1: Each region, to host workshop to show Data Base to stakeholders and identify practical application.
Action 2: Four partners regions, hold demonstration of the practical application (initiatives) of the Data Base.
The types of practical initiatives as follows:
Actions 3 to 5: an example of practical initiative in 4 regions…
Initiatives & Partners responsible:• CIIMAR Oporto (Portugal)
– Impact of Aquaculture regulation on investment decisions
• SEMRU, NUI Galway (Ireland) & U. Stirling (UK) – Comparison of Marine Economies – Case Study: Ireland
and Scotland
• IFREMER & Brittany Region (France)– Shipbuilding and marine energy: similarities and
differences between subcontractors and marine equipment suppliers
• IEP, UPV/EHU Bilbao (Spain)– The CISMar Index: A synthetic index of competitiveness,
innovation and sustainable development for the marine sector
• Partner responsible: University of the Basque Country (UPV/EHU)
• Title: The CISMar Index: A synthetic index of competitiveness, innovation and sustainable development for the maritime sector
• Description:– A synthetic index that summarizes the information contained in the system of
indicators designed for the construction of the Atlas of Marine Socio-Economic Indicators in order to measure the level of competitiveness and innovation of the maritime sector in EU Atlantic area.
• Objectives:– Assess the position of region of influence.– Comparison to the rest of the regions in the network.– Take measures to reach efficient frontier.– Extensible to other European marine areas.
• Based on Data collection requirements:– 10 marine sectors– 36 marine Industries– Classification according to 4 vectors of interest– All the data collected at (least) NUTS2-3 annual level.
CISMar Index
CISMar IndexFocus on indicators from 4 areas of interest (vectors):
• Business & Economy • (firms, value added, investment, landings, exports,
etc.), • Employment & Society
• (labour force: employment, wages, purchasing power, etc.)
• R&D & Innovation• (R&D expend., high-tech services, entrepreneurship,
human capital, etc.), • Sustainability & Vulnerability
• (environmental risks, resources, etc.).
Link to Sustainable development:
Social-Economic:• Business ethics• Fair trade• Workers rigths
Environmental-Economic:• Energy efficiency• Natural resources usage• Ecology• Climate change
Social-Environmental:• Environmental law• Natural resources conservation
From Marnet database to CISMar Index
• Synthesis of Information?• Factor Analysis
• Selection of weights?• Equal weights : fixed scores• Flexible weights : DEA scores : relative to ‘efficient
frontier’
Methodology
Each region maximises score Consistent with own competitive advantage
CISMar Index• Overall Index• Vector Indices:
• BusEco, EmpSoc, RD+I, SusVul
• Can construct subindices related to Marine sectors and industries at subsets and intersections:
• e.g. Fully maritime• BusEco-Tourism
Example: cartogram mapIE Fully Maritime
Example: cartogram mapES Full&Part Maritime
Prototype: cartogram mapUK & NUTS3
Prototype: cartogram map Coastal resilience synthetic
indexFR & NUTS3
Example: cartogram mapNUTS3 Fully Maritime
Example: cartogram mapNUTS3
Usefulness of CISMar Index at regional levelIn this respect…. local Government may use the
CISMar index score as diagnostic tool to• Assess the position of its region of influence,• Design future strategic objectives for the sector,• Respond to threats and emergencies:
– Valuation study of the related risks to each of the economic maritime activities considered within Marnet – Contribute to improve preparedness and response capabilities. • In general:
– Take measures to reach efficient frontier– Compare to rest of regions in the network– Time evolution – Extensible to other European marine
regions.
To Do next?
• Identify cases (region,NUTS3) in the efficient frontier
• Implement Algorithm (online?) so that each case (region,NUTS3) can obtain ranking with OWN weights…– …to compare itself with others in terms of its own
competitive advantage
• Complete R&D+I and Vulnerability indices
Thank you