Economic potential of maritime regions

Abstract: 

In a socio-economic study it was assessed whether maritime economies are interlinked with national economies of Finland and Estonia and how productive and efficient blue economy sectors are in maritime regions. For the assessment the input-output methodology was used compiling first results which may be transferable to MSP processes.

Sea Basin(s): 
Country: 
Year: 
2018
Application in MSP: 
Unknown effect
Sectors: 
Aquaculture
Fishery
Offshore renewable energy production
Ports
Shipping
Tourism
Type of Issue: 
Cross-border cooperation
Data
Economic aspects
Type of practice: 
Methodology
Stage of MSP cycle: 
Stocktake
Cross-border / trans-national aspect: 
Yes
Coherence with other processes: 
Renewable Energy Directive
Trans-European Transport Network

Questions this practice may help answer

How are maritime economies interlinked with national economies of Finland and Estonia?
How productive and efficient are blue economy sectors in maritime regions? 

Implementation Context

The study is part of the Plan4Blue project and aims to integrate socio-economic aspects into spatial planning:

Work Package 3 of Plan4Blue supports cross-border MSP by increasing the capacity of officials, planners and stakeholders to assess the interaction of socioeconomic marine activities and environmental values across space. Work Package 3 focuses on the effective visualization of current activities and planning options on maps, which requires optimal utilization of existing data. This aims to provide cost-efficient background information for decision-making and targeted production of new data.

The study is still ongoing but provides first results which are relevant for MSP processes as well.

Aspects / Objectives

The aim of the study was to find out whether the maritime sectors in Estonia and Finland are rather independent in their development within national economies. Previous literature from 2005 (“Korea study” and from 2016 (“Ireland study”) found stronger evidence of maritime sectors linkages with national economics. During research it turned out that there are descriptive inferences between blue industries as a part of blue region economy. The energy sector in Estonia involves, for example, the average largest fixed and current assets and highest number of employees, however, on average suffers losses (negative profit). In Finland average losses only occured in the marine construction sector. 

Method

The Input-output (I-O) methodology explores the linkage and production effects of the Estonian and Finnish maritime sectors on national economies and cross-border cooperation. There exist I-O tables for maritime sectors and products: in Estonia for fish and other fisheries products as well as for aquaculture products and water transport; in Finland for the fishing and water transport industries. 

Method 1: input-output tables showing how different sectors are interlinked with national economies. Data from OECD and national input and output tables have been used.
Method 2: AMADEUS (ET) and ORBIS (FI) micro data for descriptive statistics to answer the question how productive and efficient the blue sectors are in the two countries.

Main Outputs / Results

The study shows in more detail how to use data has an influence on how to generate new ideas and which models are used. It provides information on availability and quality of statistical information and makes first proposals for the improvement of statistical data -  also related to cross-border statistics which is an important topic in Eurostat. Another result is the mapping of economic activities in coastal regions and how productive and efficient blue sectors comparing to other sectors are. It therefore is an interesting method for benchmarking. Possibly, the I-O method is also fostering discussions between stakeholders and may be good for cross-country comparison. 
A still open question is how to take dynamics of economy as well as dynamics of governance and legislation into account when applying the method?
Whether the method is useful for planners is also not fully clarified yet. 

Transferability

The applied methodology may be transferable to real MSP processes. However, it is not known yet. This is related to the statistical problem that the tables and methodology are weakly developed for analysing linkages between the sectors. Statistics have to be improved, especially with a view to cross-border cooperation. EUROSTAT is currently working on improving cross-border statistics.
Furthermore, the Input-Output analysis is informative but depends on availability of detailed tables. The AMADEUS database is a good source but expensive.

Responsible Entity

University of Tartu, Ülikooli 18, 50090 TARTU
Phone: +372 737 5100
Fax: +372 737 5440
E-mail: info@ut.ee

Costs / Funding Source

not known 

Contact person

Tiiu Paas

University of Tartu, School of Economics and Business Administration

tiiu.paas@ut.ee

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