case: going local - applying and developing sub-national analysis

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  • 8/8/2019 CASE: Going Local - Applying and developing sub-national analysis

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    CASE: Going localApplying & developing sub-national analysis

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    Issue

    Increasing localism

    More power at a local and sub-local level

    Reducing role of central government:

    Not imposing from above

    BUT...

    Limited resources locally to exploit social science

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    Local needs

    Data: Base-lining, benchmarking, transparency,

    accountability

    Analysis: Business cases, policy options

    Evidence: relevance, effectiveness and

    persuasiveness (partnerships)

    Others?

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    What CASE has - Data

    Baselining, benchmarking, accountability

    Regional Insights Investment, tourism, education, place-shaping, communities and well-being and engagement

    Toolkit for asset mapping

    Data (for making evidence)Understanding Society (longitudinal data)

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    What CASE has - Analysis

    Drivers, Impact and Value project

    Understanding local population (Drivers)

    Policy simulation tool (Drivers)

    Valuing policy impacts (Value)

    Issues:

    Drivers work based on Taking Part

    Local conditions not fully accounted for

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    2. Statistical analysis

    of participation Results for Heritage

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    The effects of ethnicity and media use on

    participation

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    Drivers of engagement: simulation

    1,254 models: 38 activities, 33 cohorts

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    Drivers of engagement: simulation

    30% increase in theatre attendance in young males of lowincome

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    SWB Gains: actualand predicted

    engagement

    SWBC

    han

    ge

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    Illustration of income compensation

    E.g. engagement: SWB from 2 to 4

    Equivalent:

    c20k pa

    in income

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    Value of engagement: well-being

    Weekly Once a year

    Sport 11 -

    Concert 9 5

    Cinema 9 4

    New innovative method, with methodological challenges

    Equivalent annual income increase required to get SWBincrease (K)

    Internal consistency: increased frequency = greater SWB

    Actual engagement

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    What CASE has - Evidence

    Drivers, Impact and Value project

    Sound evidence for learning effects in young

    people

    Research database: practical benefit

    Issue

    Not geographic specific

    Need to make the generalisation leap

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    Where next?

    No guarantee of a future for CASE

    BUT...

    Could focus on a number of areas:

    More data at local level

    More analysis at local level

    Better access to data for local areas

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    Marshal more data...

    CIPFA data

    Audience data

    Wider economic and social data

    Drawing together local datasets on assets etc

    What else?

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    More analysis at a local level...

    Eg. GIS analysis

    Nearest neighbour etc

    BUT...

    Danger of top-down analysis

    Resource-heavy for centre

    Needs demand from local areas to justify

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    Density of all arts, museums, libraries and sports and heritage assets

    per head of population as at 2008/9

    This map shows the steep differences

    in both privately- and publicly-funded

    culture and sport opportunities by local

    authority.

    Fewer than 8% of authorities have over

    25% of the assets

    1-3 assets per 1000

    3-4 assets per 1000

    4-7 assets per 1000

    7-34 assets per 1000

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    Count of all arts, museums, libraries and sports and heritage assets

    per local authority as at 2008/9

    9-250 assets

    251-385 assets

    386-558 assets

    559-4056 assets

    Removing the population figures from

    the analysis has little effect overall, with

    rural areas remaining higher up the

    scale. However, small town type areas

    now tend the lower part of the scale

    Fewer than 8% of authorities have over

    25% of the assets

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    Density of arts, museums, galleries,

    libraries, sport and heritage

    assets per hectare per 10,000 people

    for each local authority

    Highest accessibility is in London and

    areas of the south coast. Larger, rural

    counties have much lower

    accessibility. Key metropolitan areas

    such as Leeds and Birmingham are317th & 303rd out of 324.

    Accessibility is very unevenly

    distributed. A rural-urban divide exists,

    but is not consistent.

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    Better access to data...

    Already got Taking Part Netquest

    Could go further with regional insights data?

    E.g. Dynamic website, bespoke analysis

    BUT...

    Skills available locally?

    Demand for this?

    Requires resources to develop...

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    Your views

    We are exploring different channels

    QUESTION IS...

    How do you think CASE can be more relevant for

    local areas?