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Maritime Skills Commission - Labour Market Intelligence Scoping Report - August 2020

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<strong>Labour</strong> <strong>Market</strong> <strong>Intelligence</strong> <strong>Report</strong> - 30<br />

Here we focus solely on the <strong>Maritime</strong> Sector on a holistic<br />

basis; a full description of how the direct, aggregate and<br />

regional economic impacts of each industry has been<br />

measured can be found in Cebr’s separate reports for<br />

each industry.<br />

Quantifying the direct economic impacts of the <strong>Maritime</strong><br />

Sector and data sources<br />

The first stage of the study, discussed in more detail in<br />

Cebr’s separate reports on the shipping, ports, leisure<br />

marine, marine engineering and scientific and <strong>Maritime</strong><br />

Business Services industries, has involved mapping the<br />

activities of each industry against the National Accounts<br />

framework, in order to establish clarity on the precise<br />

definition of activities as they map against the Standard<br />

Industrial Classification (SIC) framework.<br />

In essence therefore, this involves taking each of the<br />

sector’s and industry’s activities, and mapping these to the<br />

most relevant Standard Industrial Classification (SIC) code<br />

in order to identify the activity’s economic data. It is clear<br />

from Cebr’s analysis that the majority of activities do map<br />

neatly onto the National Accounts framework. As a result,<br />

Cebr have been able to exploit company financials data<br />

in addition to publicly-available data sources such as the<br />

Annual Business Survey to gather data for some constituent<br />

activities of the sector. Cebr has therefore drawn upon a<br />

combination of publicly-available data, desk research and<br />

industry data to quantify the economic contribution from the<br />

<strong>Maritime</strong> Sector.<br />

In order to quantify the direct economic impacts of the<br />

<strong>Maritime</strong> Sector, a number of different approaches have<br />

been taken which reflect the degree of alignment (or<br />

otherwise) for each activity against the National Accounts<br />

framework. They are as follows:<br />

The major source of data used to quantify the direct<br />

economic contribution of the <strong>Maritime</strong> Sector is the<br />

Financial Accounts Made Easy (FAME) database, which<br />

provides business demography and financial accounts<br />

data for companies operating in the UK <strong>Maritime</strong><br />

Sector. The FAME database has been used to generate<br />

estimates for the business turnover, GVA, employment,<br />

the compensation of employees and profitability of the<br />

shipping industry.<br />

For those industries and constituent activities which do<br />

not map neatly against the national accounts framework,<br />

a combination of industry sources (such as the British<br />

Marine Key Performance Indicators) and publiclyavailable<br />

data sources have been used to generate direct<br />

economic impact estimates.<br />

As FAME does not provide data on exports of goods and<br />

services, data have instead been sourced from both the<br />

ONS Pink Book or industry sources such as the UK<br />

Chamber of Shipping’s (UKCoS) Annual Sea Inquiry. In<br />

some instance the ONS Supply Use Tables have been<br />

used to generate estimates.<br />

Data for the direct economic contribution of each<br />

industry have by extension been then used to quantify<br />

the contribution that the <strong>Maritime</strong> Sector makes to the<br />

UK Exchequer, and the productivity of the sector in terms<br />

of GVA per job.<br />

Again, a more detailed description of sources used for<br />

each industry and their constituent activities can be found<br />

in Cebr’s separate industry reports, which quantify the<br />

economic contribution of each industry.<br />

5.4 In discussion, CEBR explained that they had to<br />

do a good deal to supplement and complement<br />

the data available through the Standard Industrial<br />

Classification (SIC) codes; the result is, in their<br />

words, “highly bespoke”.<br />

5.5 Two examples illustrate that tailoring:<br />

Cebr sense-checked their emerging conclusions<br />

with sector insiders at different stages,<br />

typically exploring whether individual companies

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