This document summarizes the agenda and presentations for the Darlington Economic Forum on November 21, 2022. The agenda includes presentations on ONS plans for subnational statistics, socio-economic trends from Teesside University, opportunities and analysis from ONS placement students, and green jobs from Tees Valley Combined Authority. Questions can be submitted through the Slido app. The document also provides details on the presentations, including discussing ONS work to produce more timely, granular subnational statistics and improve dissemination. It outlines socio-economic research expertise at Teesside University focusing on areas like public health, tourism, and economics.
3. Todayâs agenda
09.35am â 09.50am ONS plans for subnational statistics â Samantha Toon and James McCrae,
Office for National Statistics
09.50am â 10.05am Exploring Socio-economic trends, the work of Teesside University â
Professor Natasha Vall, Dean of the School of Social Science, Humanities and
Law, Teesside University
10.05am â 10.15am Q&A
10.15am â 10.30am Opportunity and Analysis â Darren Morgan, Director, Economic Statistics
Production & Analysis, Office for National Statistics and James Burchell and
Ash Kandola, Placement Students, Office for National Statistics
10.30am â 10.45am What are Green Jobs and Why are they important? A Tees Valley
Approach â Thomas Peggs, Tees Valley Combined Authority
10.45am â 10.55am Q&A
10.55am â 11.00am Closing remarks â Grant Fitzner, Chief Economist, ONS
@ONSfocus #economicforum slido #37892
4. Questions can be submitted via the slido app using code #37892.
You can also access slido via the link in the chat box.
5. Office for National Statistics
ONS plans for
subnational statistics
Samantha Toon and
James McCrae
@ONSfocus #economicforum slido #37892
6. Contents
⢠Strategy and workplan
⢠Timely, granular subnational statistics and insight
⢠Improved dissemination
⢠Economic trends in the North East
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8. GSS Subnational Data Strategy (December 21)
A framework to guide the GSS in producing and
disseminating more timely, granular and harmonised
subnational statistics, that meet user needs
Referenced in the Levelling Up White Paper as a key enabler in the Governmentâs ambition
to improve subnational data and improve transparency and accountability to the public
slido #37892
9. GSS Subnational Data Strategy ambitions
Produce more timely, granular and harmonised subnational statistics
Build capability and capacity for subnational statistics and analysis
Improve the dissemination of subnational statistics
Explore Subnational Statistics service
slido #37892
10. ONS Subnational Workplan
ONS committed to follow up the Strategy with a workplan
Published 16 May 2022
A cross-cutting overview of the wide range of new or improved subnational
outputs and initiatives, planned for the next 18 months, across the Office
A strong commitment for UK-wide coverage, where possible, enabled by
solid collaboration with the Devolved Administrations
slido #37892
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12. Model-based early estimates of regional GVA
⢠Started publishing model-based
quarterly estimates of regional GVA
from October 2021 onwards
⢠Early indication of quarterly GDP,
published 5 months in advance
Source
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13. Productivity in towns and travel to work areas
⢠Experimental labour
productivity data for
TTWAs and towns made
available for the first time
in December 2021
⢠Complements existing
annual subregional
productivity release
Source
slido #37892
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14. Disaggregating annual subnational GVA to
lower levels of geography
⢠As part of the ONS strategy to provide more
granular data to our users
⢠Experimental statistics using granular
geographies as building blocks to derive GVA for
flexible geographies
⢠Improve our understanding of the local economy
⢠Provisional publication for second version 1st
December 2022 Source
slido #37892
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16. Explore Subnational Statistics
⢠Announced in GSS subnational data strategy
⢠One-stop-shop for subnational data and statistics
⢠Standardised geographies and user-defined areas
⢠Prototyped as Subnational indicators explorer â second
iteration published in May 2022, third iteration released
next week !
slido #37892
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17. LUDA/X-Govt platform
⢠Cross Govt levelling up data collaboration platform â
develop suite of dashboards to support decision
making across Govt.â
⢠Space for shared analysis and output productionâ.
⢠Stores all levelling up data, including ESS data.ââ
⢠Will allow Govt colleagues to respond rapidly to
queries using available data.
slido #37892
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19. ONS Local
An analytical advisory service for local leaders, with dedicated analysts based across the UK,
ensuring those locally have access to data, statistics and analysis to support decision making
Support users
to navigate subn
ational data and
analysis (both
readily available
and
in development)
Work
with regional
partners to
influence
ONS plans
and priorities
Make
links between
national and
ONS data with
local
data, adding
analysis for
greater insight
Join up areas
with similar
challenges
Aims
In development â for discussion
20. Phased implementation
⢠Support to understand
and interpret datasets
⢠Individual work plans
agreed with regions
⢠Developing
collaborative analytical
projects of benefit to
multiple areas and
regions
⢠Support to access
data platforms and
existing data sources
⢠Hosting forums to
discuss cross-cutting
themes
⢠Feedback to inform
wider ONS
prioritisation
⢠Dedicated ONS Local
space on website
⢠Webinars
⢠Events
⢠Newsletter
⢠Evaluating stakeholder
needs
Stage one
Stage two
Stage three
Red: Vacancies
Amber: Not in post yet/partially filled
Green: Fully recruited
ons.local@ons.gov.uk slido #37892
22. The North East has seen weaker growth than
the rest of the UK since 2008
Gross value added, chain volume measure, per cent growth, 2008 to 2019
Source: Regional gross value added (balanced) by industry: all ITL regions
0% 10% 20% 30%
North East
Scotland
Yorkshire and The Humber
Northern Ireland
East Midlands
South West
United Kingdom
East of England
North West
Wales
West Midlands
South East
London
slido #37892
@ONSfocus #economicforum
23. Darlington bucks the trend however with above
average growth
Gross value added, chain volume measure, per cent growth, 2008 to 2019
Source: Regional gross value added (balanced) by industry: all ITL regions
-10% 0% 10% 20% 30% 40% 50% 60%
Durham CC
Northumberland
South Teesside
Hartlepool and Stockton-on-Tees
Sunderland
Tyneside
United Kingdom
Darlington
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24. The unemployment gap with England is closing
Unemployment rate, monthly, aged 16-64, 2008-2022
Source: HI00 Regional labour market: Headline Labour Force Survey indicators for all regions
England
North East
0%
4%
8%
12%
16%
2008 2010 2012 2014 2016 2018 2020 2022
slido #37892
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25. Employment is growing, but continues to track
below average
Employment rate, monthly, aged 16-64, 2008-2022
Source: HI00 Regional labour market: Headline Labour Force Survey indicators for all regions
60%
65%
70%
75%
80%
2008 2010 2012 2014 2016 2018 2020 2022
England
North East
slido #37892
@ONSfocus #economicforum
26. The inactivity gap has widened since covid
began
Inactivity rate, monthly, aged 16-64, 2008-2022
Source: HI00 Regional labour market: Headline Labour Force Survey indicators for all regions
England
North East
15%
20%
25%
30%
2008 2010 2012 2014 2016 2018 2020 2022
slido #37892
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27. Long-term illness is more of an issue in the
North East than elsewhere in England
Self-reported reason for being economically inactive, proportion of total inactive, 2021
Source: Annual Population Survey - regional - economic inactivity by reasons
0% 10% 20% 30% 40%
Discouraged
Temporary sick
Other
Retired
Looking after family/home
Student
Long-term sick
North East England
slido #37892
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28. Productivity within the region is below average
for the most part
Gross value added per hour worked, ITL3, current price, 2019, difference from UK average
Source: Subregional productivity: labour productivity indices by UK ITL2 and ITL3 subregions
-25%
-20%
-15%
-10%
-5%
0%
5%
Sunderland Hartlepool and
Stockton-on-Tees
Darlington Tyneside Durham CC South Teesside Northumberland
slido #37892
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29. Meaning disposable income is also low
Gross disposable household income per head, ÂŁ, 2019
Source: Regional gross disposable household income, UK: 1997 to 2019
- 5,000 10,000 15,000 20,000 25,000
Middlesbrough
South Tyneside
Hartlepool
Sunderland
Newcastle upon Tyne
Gateshead
County Durham
Redcar and Cleveland
Darlington
Stockton-on-Tees
North Tyneside
Northumberland
United Kingdom
slido #37892
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30. Though the North East has some of the most
affordable housing relative to average earnings
Ratio of house prices to average earnings, 2021
Source: Housing affordability in England and Wales: 2021
slido #37892
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31. Low productivity is likely the result of having
more jobs in less productive industries
Proportion of jobs by industry, per cent, North East and UK, June 2022
Source: JOBS05: Workforce jobs by region and industry (excludes mentions <1%
0%
5%
10%
15%
20%
NE
UK
slido #37892
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32. Darlington & Sunderland are showing greater
productivity growth than other areas
Gross value added per hour worked, ITL2, chain volume measure, 2019, index: 2008 = 100
Source: Subregional productivity: labour productivity indices by UK ITL2 and ITL3 subregions
80
100
120
140
160
180
2008 2010 2012 2014 2016 2018
UK
Darlington
Sunderland
Durham CC
slido #37892
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33. Which could be a result of the type of industries
they over perform in
Source: Understanding towns: industry analysis
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34. A specialism in manufacturing means potential
for strong goods exports
Source: Subnational trade in goods
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36. Exploring Socio-economic trends,
the work of Teesside University
Socio-economic research in the School of Social Sciences, Humanities & Law
and Teesside University International Business School
Professor Natasha Vall, Acting Dean (SSHL)
37. Socio-economic research @ School of Social Sciences Humanities
& Law
Research is organised across three Research Centres:
Centre for Social Innovation- explores the complex interplay between social
cohesion, public policy and societal change
Centre for Applied Psychological Science-bridges the gap between theoretical
research and applied practice by providing evidence-based solutions to societal
challenges
Centre for Culture and Creativity-addressing historical and creative questions,
utilising methodologies including archival, practice-based, critical and theoretical
38. We see national statistical data becoming increasingly important in our research across all
our centres, in areas such as criminal justice, public health and socio-economic
development
⢠The school has a large set researchers from several disciplines whose research employs
quantitative/experimental approaches and who have a strong foundation in descriptive and inferential statistics
⢠The data are particularly valuable for examining community composition as well as geographic variations
in socio-economic outcomes, which link to the work in the Centre for Social Innovation
⢠We have a number of researchers in the school who also examine the social and ethical implications of
data-driven policy, including algorithmic governance (e.g. Prof. Marty Chamberlain)
⢠We have researchers who are interested in responsible use of data as part of the broader discussion
around responsible research practices (e.g. Prof. Matt Cotton)
â
39. Socio-economic and Public Health data
⢠Our school has several strands of work focused on Public Health (e.g. Prof. Newbury Birch @TEAMALPHA,
Centre for Social Innovation) for which the analysis of regional and national data is integral
⢠Prof. van Schaik in the Centre for Applied Psychological Science on blood-borne viruses is incorporating
regional health data from NHS digital
⢠Research in the Centre for Culture and Creativity (e.g. Prof. Karikis, Prof. McKeown) involves the wellbeing
of minority groups or seeks to incorporate communities at the economic and socio-geographic fringes
⢠The incorporation of large datasets would broaden the scope of all these research questions
40. Socio-economic research and town centres
Teesside University and University College London are collaborating on research regarding the future of town
centres, and (in particular) town centres in Tees Valley and wider North East
⢠This work has highlighted a central tension in recent policy (Levelling Up) - the balance between economic development
and pride in place (Dr Nick Gray, Prof John Tomaney, Prof Natasha Vall)
⢠Findings have informed a recent bid (https://www.ukri.org/opportunity/developing-local-policy-innovation-partnerships/) led
by Teesside University, in collaboration with UCL, Durham, Newcastle, Sunderland and Northumbria Universities
⢠This will explore related questions including:
⢠What is the balance between pride in place and economic growth?
⢠What might be the local practical application of ideas around the foundational economy and community wealth building?
41. Tourism Research Expertise @ Teesside University
Dr Christopher Hayes
Course Leader for BA (Hons)
Tourism Management
Expertise in:
⢠Destination image
⢠Mega events & tourism
Dr Jakia Rajoana
Senior Lecturer in Business
Expertise in:
⢠Women entrepreneurs
⢠Sustainable tourism
Dr Leon Davis
Course Leader for BA (Hons)
Events Management
Expertise in:
⢠Sports fandom
⢠Event management
Our experts carry out tourism-focused
research internationally, including in
Bangladesh, France, and Japan. They have
published in high-ranking journals and have
also worked with industry and local
stakeholders, including for ongoing projects.
Dr Hayes & Dr Davis are currently looking at
wayfinding and destination branding at the
Rugby League World Cup, and are keen to
work with stakeholders on leveraging events
for tourism.
42. Dr Mohamed Elheddad
Senior Lecturer Economics
Expertise in: Energy Economics, FDI
in natural resource-rich economies,
and sustainability
Dr Mohammad Abedin
Senior Lecturer in Business
Expertise in: Fintech &
Financial Innovation
Dr Zhang He
Principal Lecturer
Expertise in: Economic of European
Monetary Union and Single Currency
Area, Regional Labour Markets,
Financial Deepening and Income
inequality
Our experts concentrated on energy
economics, Fintech, inflation and
labour market research internationally,
including in Europe, Asia and African
economies . They have published in
high-ranking journals and have also
worked with industry and local
stakeholders.
EcTonomics Research Expertise
(TUIB)
ďś Dr Yifei Cai
Energy Economics. Oil and gas price,
decoupling hypothesis, politics and
energy price, oil and macroeconomy.
Applied macroeconomics: migration,
uncertainty shocks, fiscal balance and
extreme weather risks.
ďś Dr Olalekan Aladesanmi
Macroeconomics and economic
development in Africa.
ďś Dr Kehinde Omotoso
Microeconomics in Africa.
ďś Dr Vahid Ghorbani Pashakolaie
Energy Economics and Bioenergy
research.
43. Q&A
Questions can be submitted via the slido app using code #37892.
You can also access slido via the link in the chat box.
44. Director, Economic Statistics Production &
Analysis â Office for National Statistics
Opportunity⌠and analysis
Darren Morgan
@ONSfocus #economicforum
Placement Students
Office for National Statistics
slido #37892
James Burchell and Ash
Kandola
46. Who are at DEC?
slido #37892
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47. So âŚtell me thenâŚ..why should I be interested?
⢠Numbers: 1,100
⢠Types of roles: Analytical, Policy, Project Mgmt, IT, HR, Finance, Administrative â
basically, everything you can think of!
⢠Recruitment: constant and ongoing Civil Service job search - Civil Service Jobs - GOV.UK
⢠Impact: making a difference to the country and society
slido #37892
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48. Foreign Direct Investment in
the North East: 2020
@ONSfocus #economicforum
Student Economist â Global Trade and
Investment
slido #37892
James Burchell
Ash Kandola
Student Economist â Public Policy Analysis
50. Foreign Direct Investment
⢠Cross-border investment
⢠Control relationships (10% of voting power)
⢠Positions, flows and earnings
Investment
UK Company
Direct Investment Enterprise
Foreign Company
Direct Investor/Parent
Company
Purchases >10% of voting
power in UK Company
slido #37892
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53. Direct Investment into the North East was the lowest in England
2020 inward FDI position per capita, by ITL1 subregion, ÂŁ
0
20,000
40,000
60,000
80,000
100,000
Wales Northern
Ireland
North East Yorkshire and
The Humber
North West East Midlands West
Midlands
East South West Scotland South East London
Inward
FDI
per
capita,
ÂŁ
Source: Foreign direct investment, experimental UK subnational estimates
Population estimates for the UK, England and Wales, Scotland and Northern Ireland
slido #37892
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54. Direct Investment in the subregions of NE was below average
2020 inward FDI position, by ITL2 subregion, ÂŁ million
0
100,000
200,000
300,000
400,000
500,000
600,000
Northumberland,
and Tyne and Wear
Tees Valley and
Durham
Inward
FDI
position,
ÂŁ
million
Source: Foreign direct investment, experimental UK subnational estimates
slido #37892
@ONSfocus #economicforum
55. 0%
10%
20%
30%
40%
50%
60%
70%
Manufacturing Wholesale,
Transportation &
storage
Other Financial & Insurance Professional & Support Information &
Communication
Mining & quarrying*
Tees Valley and Durham UK
Manufacturing made up over half of all inward FDI in Tees Valley and
Durham in 2020
2020 inward FDI position industry breakdown, by ITL2 subregion, % of subregional total
*Value suppressed for disclosure
Source: Foreign direct investment, experimental UK subnational estimates
slido #37892
@ONSfocus #economicforum
56. This result is even more pronounced for the Tees Valley combined
authority
2020 inward FDI position industry breakdown, by city region, % of city region total
0%
10%
20%
30%
40%
50%
60%
70%
Manufacturing Wholesale,
Transportation &
storage
Other Financial & Insurance Professional & Support Information &
Communication
Mining & quarrying*
Tees Valley Combined Authority UK
*Value suppressed for disclosure
Source: Foreign direct investment, experimental UK subnational estimates
slido #37892
@ONSfocus #economicforum
58. Skills can be broken down into two main categories.
Sensory-Physical Socio-Cognitive
Equipment Selection Active Listening
Installation Speaking
Operations Monitoring Monitoring
Operation and Control Learning Strategy
Repairing Social Perceptiveness
slido #37892
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59. Skills in the North East are concentrated in sensory-physical activity.
English RCA(s,c) by skill type, 0 = UK average
*Results are not final and may change. Not to be copied or shared without permission.
-0.04
-0.03
-0.02
-0.01
0
0.01
0.02
North
East
East
Midlands
West
Midlands
Yorkshire
and The
Humber East
North
West
South
West
South
East
Sensory-Physical
-0.004
-0.002
0
0.002
0.004
0.006
0.008
North East
East
Midlands
West
Midlands
Yorkshire
and The
Humber East
North
West
South
West
South
East
Socio-Cognitive
slido #37892
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60. This result still holds even when excluding the South East.
English RCA(s,c) by skill type, 0 = UK average (South East excluded)
*Results are not final and may change. Not to be copied or shared without permission.
-0.01
-0.005
0
0.005
0.01
North East
East
Midlands
West
Midlands
Yorkshire
and The
Humber East North West South West
Sensory-Physical
-0.003
-0.002
-0.001
0
0.001
0.002
North East
East
Midlands
West
Midlands
Yorkshire
and The
Humber East North West South West
Socio-Cognitive
slido #37892
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61. The North Eastâs strongest skills complement work in Manufacturing.
North East RCA(c,s) by Element type, Top 5 and Bottom 5, 0 = UK Average
-0.03 -0.02 -0.01 0 0.01 0.02 0.03 0.04
Operations Analysis
Programming
Management of Financial Resources
Science
Systems Analysis
Troubleshooting
Operation and Control
Equipment Selection
Repairing
Equipment Maintenance
*Results are not final and may change. Not to be copied or shared without permission.
slido #37892
@ONSfocus #economicforum
62. For further reference:
⢠Interactive data elements
⢠Positions, earnings and flows
⢠ITL1, ITL2, city regions
⢠Industry groups, continent
⢠Inward/Outward
slido #37892
@ONSfocus #economicforum
64. WHAT ARE GREEN JOBS & WHY ARE THEY
IMPORTANT?: A TEES VALLEY APPROACH
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21/11/2022
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65. ⢠Range of definitions for âGreen Jobsâ at a national and
international level:
⢠UN System of Environmental Economic Accounting
⢠International Labour Organisation
⢠Greater London Authority (GLA)
⢠Multiple definitions are cited to suit different uses and
consequently make this a complex area.
⢠As the UK moves towards Net Zero, the âGreenâ economy
will expand, therefore a coherent approach that enables
robust analysis that can support policy-making is required.
What are Green Jobs?
66. ⢠Three ways of framing a green jobs definition can be
considered:
⢠An occupation-based approach, including all jobs that are green
⢠An industry-based approach, including all jobs in a green industry
⢠A firm-based approach, including all jobs in a green firm
⢠TVCA supports the use of an occupation-based approach.
⢠Green jobs can be in any industrial sector and conversely
industry sectors include jobs that may or may not be green.
⢠Clear benefits to adopting an occupation-based approach,
including the linkage to other relevant datasets to
understand skills and workforce requirements
Tees Valley CA Approach
67. ⢠Identify occupations that are likely to be affected by
greening as opposed to jobs that are inherently green.
⢠Approach mirrors the GLA Economic Working Paper 99 â
Identifying Green Occupations in London.
⢠GLA Economics approach converts the US O*NET
occupations classified as affected by âgreeningâ into a UK
SOC code nearest equivalent using programming algorithms.
⢠Following a manual review of the UK SOC green occupation
list by GLA Economics, only one SOC code was required to
be added.
⢠Occupation-based approach enables economic modelling to
be produced to analysis skills and workforce requirements.
Tees Valley CA Approach
68. ⢠All UK SOC code occupations were classified into four
distinct groups:
⢠Green increased demand â existing jobs that are expected to be in
high demand due to âgreeningâ, without requiring significant
changes in tasks, skills or knowledge.
⢠Green enhanced skills â existing jobs that require significant
changes in tasks, skills and knowledge as a result of âgreeningâ.
⢠Green new and emerging â new jobs with unique worker
requirements that meet the specific needs of the green economy.
⢠Non-green
⢠c.100 occupation codes (4 digit SOC) are covered within the
Tees Valley produced list, however this is subject to a
manual review to closer reflect the Tees Valley economy.
Tees Valley CA Approach
69. ⢠Tees Valley has the ambition to becomes the worldâs first
Net Zero industrial cluster by 2040 and be the leading region
for the UKâs net zero ambitions.
⢠Currently 67,750 green jobs in Tees Valley, which represents
c.25% of all jobs within the region.
⢠23,600 green enhanced skills jobs (8.8% of jobs compared to 9.3%
nationally).
⢠29,920 green increased demand jobs (11.2% of jobs compared to
10.5% nationally).
⢠14,220 green new and emerging jobs (5.3% compared to 6%
nationally).
Tees Valley Green Economy
70. ⢠The number of green jobs in Tees Valley are projected to
grow by 3.3% between 2021 and 2030, this matches the
projected change nationally.
⢠Green enhanced skills jobs are projected to increase by 2.9%
between 2021 and 2030 (3.4% nationally) .
⢠Green Increased demand jobs are projected to increase by 3.1%
between 2021 and 2030 (3.3% nationally).
⢠Green new and emerging jobs are projected to increase by 4.3%
between 2021 and 2030 (3.3% nationally).
⢠Nationally, 17% of people employed in green jobs are aged
55 and over and 76% are male.
⢠Between February 2021 and January 2022, there were
14,380 vacancies available online for green jobs.
Tees Valley Green Economy
71. ⢠Understanding Green Jobs and how they change over time
is essential for measuring our local economies throughout
the transition to Net Zero
⢠Analysis can guide policy decisions that will be critical to
identify the green jobs, along with the related skills demand
and supply going forward.
⢠Ensure all stakeholders work coherently to grasp the
opportunities of a green industrial revolution and meet the
challenges of supporting high carbon sectors, their workers
and the communities they support through the transition to
net zero.
Why is Green Jobs Analysis Important?
72. ⢠ONS has stated that they âseek to refine our understanding
and measurement of the green economy as the UK
transitions to net zero, including looking at such issues as
quality of work and diversity within the green economyâ.
⢠ONS are continuing there Green Jobs project, which aims to
provide:
⢠A clear definition of green jobs
⢠Experimental statistics measuring green jobs, using these
definitions
⢠Initial analytical outputs
⢠Collaboration across stakeholders can ensure future work on
âGreen Jobsâ can meet the needs for all.
Future Steps
73.
74. Q&A
Questions can be submitted via the slido app using code #37892.
You can also access slido via the link in the chat box.
76. Forthcoming ONS economic analysis
21 November 2022 â Equality across different areas of life in the UK: 2010 to 2020
22 November 2022 â Are wages keeping up with high inflation in the UK?
22 November 2022 â Global inflation (analysis of inflationary trends for 29 economies)
1 December 2022 â Disaggregating UK annual subnational gross value added (GVA) to lower
levels of geography, 1998 to 2020
5 December 2022 â Self-reported long COVID and labour market outcomes
All information on upcoming analysis can be found via the ONS website
@ONSfocus #economicforum slido #37892
77. Dates for your diary
1 December 2022 â ESCoE Webinar â Efficient Industrial Policy for Innovation: Standing on the
Shoulders of Hidden Giants
7 December 2022 â Regional Economic Forum â Wales
15 December 2022 â ESCoE Webinar â Capitalizing Data: A Case Study of Individual Credit Files
Further details on the above event and any upcoming events will be published at
ons.gov.uk/economicevents
@ONSfocus #economicforum slido #37892
78. Public consultation
Review of the Measures of National Well-being â Closes 25 November 2022
We are reviewing the measures of national well-being.
In August, we restarted regular updates of the Measures of National Well-being dashboard,
which measures the quality of life in the UK. This publication marked over 10 years since its
creation and developments to date, including it being published alongside GDP and climate
change insights for the first time. This milestone gives us an opportunity to reflect on the original
34,000 responses which fed into the development of the national well-being dashboard, and the
changes to society since the dashboardâs inception.
As part of the review, we are launching a consultation to review the measures included in the
dashboard and how we communicate these insights.
Please give us your views and take part in the survey.
@ONSfocus #economicforum slido #37892
79. Measuring non-market activity â challenges and opportunities
conference in an international context
Call for Papers: Deadline Friday 9 December, 2022
The ONS will hold a âMeasuring non-market activity - challenges and opportunitiesâ conference on 14 and 15
February 2023 at the Department for Business, Energy and Industrial Strategy (BEIS), London.
We welcome papers on all aspects of the measurement of non-market output. We are particularly interested
in submissions related to the following areas:
ďˇ Innovative approaches to the measurement of collective and individual services
ďˇ Quality adjustments for non-market measures
ďˇ International comparisons
To submit a full paper or an extended abstract (around 800 words), please email
nonmarketoutputconference@ons.gov.uk and attach your submission.
@ONSfocus #economicforum slido #37892
80. ESCoE Conference on Economic Measurement 2023
Economic Statistics Centre of Excellence (ESCoE) will hold its annual conference, in partnership
with the ONS, on 17-19 May 2023 at Kingâs Business School, Kingâs College London.
We invite submissions of papers on all aspects of the measurement and use of economic statistics.
We are particularly interested in submissions related to the areas:
⢠Inclusive Wealth Measures and Looking Beyond GDP;
⢠National Accounts (including measurement issues regarding Prices, International Trade,
Foreign Direct Investment);
⢠Net-Zero, Climate Change and the Environment;
⢠Subnational Statistics;
⢠Productivity and Innovation;
⢠Labour Markets, Households and Inequality.
For details on how to submit a full paper, extended abstract or a proposal for a special session
please visit the ESCoE website. Call for Papers: Deadline 16 January 2023
@ONSfocus #economicforum slido #37892
81. Thank you for attending the
Economic Forum
You can keep up to date on all upcoming events via
ons.gov.uk/economicevents
If you would like to ask a question or provide any feedback, please do so
via economic.engagement@ons.gov.uk
Editor's Notes
We will be using the first portion of this presentation to cover the strategic thinking that is underpinning our future plans for subnational, before going into a bit more detail around a couple of our ambitions; the first being about producing more timely and granular subnational statistics, and the second on how weâre looking to improve their dissemination.
Weâll then finish off our presentation by using some of our key datasets to give a brief picture of the East Midlands economy.
The GSS Subnational Data Strategy provides a framework to guide the GSS in producing and disseminating more timely, granular and harmonised subnational statistics.
The Strategy sets out how we can achieve this aim by showcasing best practice and case studies, while signposting to existing GSS policies and guidance.
The Strategy was launched in December at the Economic Forum. On the same day our division also published an article on the industry structure of towns and the first experimental GVA estimates at MSOA level.
GSS subnational data strategy launched at ONS Economic Forum in December 2021 by Sam Beckett, alongside article on the industry structure of towns and first experimental GVA estimates at MSOA (and LSOA level through SRS)
For the purposes of this strategy, âsubnationalâ refers to all data and statistics that are provided for the 12 International Territorial Level 1 (ITL1) areas in the UK, which include Northern Ireland, Scotland, Wales, and the nine English regions, and for lower-level geographies.
The Strategy identifies three overarching ambitions which should guide us all when working with subnational statistics.
The first ambition is to produce more timely, granular and harmonised subnational statistics, aiming for subnational by default.
The second ambition focusses on building capability and capacity for subnational statistics and analysis by improving the way we share data, methods and expertise.Â
The third ambition is to improve the dissemination of subnational statistics so that our users can draw insights from our outputs more efficiently.
Together, these three ambitions set out a vision for the creation of a single service for the dissemination of subnational data and statistics organised by standardised geographies and able to accommodate flexible user-defined areas. We like to think of this as the Explore Subnational Statistics service.
See content on slide but mention the sentence below if appropriate:
The publication of this ONS subnational workplan will set a virtuous precedent and encourage other Departments to think about their own workplans through the Strategyâs ambitions lens.
I will now go into a bit more detail on the first ambition of the GSS subnational data strategy, highlighting some of the work weâve been doing which contributes to this space.
We understand that timeliness is really important for our users, and this was also a key theme in the Bean review for Economic Statistics.
Off the back off this, ESCoE developed new econometric methods to improve the timeliness and frequency of regional economic growth estimates in the UK.
These model-based early estimates of regional GVA have now transitioned to the ONS, and we started publishing them in October last year
The main strength of these estimates is timeliness â we are able to publish them to approximately the same timetable as the UK first estimate of GDP
Next Iâd like to highlight our output on productivity in towns and travel to work areas
These are experimental statistics that we published for the first time last December, with the most recent output released in March
These data complement the existing annual labour productivity estimates produced for local authorities, combined authorities and ITL areas in our annual subregional productivity release
In particular, this output aligns with our aim to publish more granular statistics â by using the TTWA geography, we can explore labour productivity for areas where most people both live and work
In December last year, we published experimental statistics on GVA at a lower level of geography, down to MSOA level, by using LSOA data as âbuilding blocksâ to create these breakdowns.
For example, here we have a map looking at the West Midlands Metro region, where a new geography has been defined covering all the LSOAs that the metro line passes through, enabling us to analyse an area with no defined boundary.
All this work feeds into the vision for Explore Subnational Statistics, which will have the flexibility to accommodate user-defined areas.
Now Iâd like to talk about the work weâre doing to improve the dissemination of more timely and granular subnational statistics
First announced as part of the GSS subnational data strategy last December
Bringing together the 3 ambitions of the strategy to produce and disseminate more timely, granular, and harmonised subnational data and statistics
Single service for the dissemination of subnational statistics and analysis
Organised by standardised geographies and able to accommodate user-defined areas
First prototype (Subnational Indicators Explorer) published in Spring alongside the Levelling Up white paper, with a second iteration published last month to add 2 new metrics and more data to the accompanying datasets. Planning to have more iterations of the explorer published later this year, still open to feedback which can be submitted via the website
However, the organising principle behind it all is to create a statistical advisory service for local leaders, that ensures they have access to the data and insight they need to make decisions
The aims of this service would be 4 fold.
The first is about access to data. We know that the data landscape can be challenging to navigate with similar measures and redeveloped measures. Our role would be to support people in finding and using the most appropriate data for their needs.
The second is about influencing ONS plans and priorities. There are some issues that we can predict interest in because they have a national presence, e.g. COL. There are others however that might be of interest to a specific number of regions or issues that have different implications regionally that we can better understand and feed into plans with.
The third is about making better links between national and local data. There is more we can do to improve access to national data and also bring local data into the ONS for wider use.
And lastly there is the opportunity to bring different areas together with similar challenges. For instance, weâve done work with coastal towns before and there could be similar opportunities for rural areas or industrial areas.
https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/employmentandemployeetypes/datasets/workforcejobsbyregionandindustryjobs05
Mention Manufacturing, Finance and Professional Services
1. To catalyse the expertise and talents of our academic staff in transforming lives through its impact on health, social, and cultural wellbeing
To be a driver of strategic partnership that deliver impact
To attract and retain talented academic staff and students
To be a focus for knowledge exchange, innovation and enterprise underpinning economic growth as an anchor institution âdiversify income,
To deliver high quality curricula that are inspire and attract students at home and abroad
To deliver a narrative on the role and added value TU offers regionally, nationally and beyond