Royal Irish Academy Conference: Spatial Justice and the Irish Crisis
23 April, 2013, Academy House
The on-going crisis and associated responses to it (political, governance, popular etc.) provides an entry point for a wide-ranging exploration of spatial justice as a theoretical construct and a departure point for empirical analysis. Discourses of justice, equality and fairness remain central to a range of interconnected debates as Ireland seeks to recover from the interrelated collapses of the banking system and property markets and the knock on effects through the rest of society and the economy. Scale is an important dimension in framing and constructing popular discourses concerning issues of justice, e.g. the role of EU institutions in shaping Ireland’s treatment of banking debt or the impact of national budgetary measures on particular places. The focus of this conference is on understanding these spatially connected processes, how they are functioning at different scales, their impact on particular or specific places and spaces, as they give rise to new or evolving social and economic geographies.
2. Layouty
1 M i H l h & W llb i1. Measuring Health & Wellbeing
2. Spatial Data & Justice in Ireland
3. Composition or Context
4 Health and Justice at National Scale4. Health and Justice at National Scale
5. Developing the KFIW Index
6 R l V i bl S i l S l6. Results at Variable Spatial Scales
7. Validation and Comparisons
8. Potential Uses for Spatial Justice
3. 1 Measuring Health & Wellbeing1. Measuring Health & Wellbeing
• Quantitative Approaches
• Qualitative Approaches
• Definitional Issues
• Spatial Scales of Analysis• Spatial Scales of Analysis
• Census Questions on Limiting Long‐Term Illness (LLTI)
and General Health Stat s (GHS)and General Health Status (GHS)
• Additional questions around disability
4. 2 Spatial Data & Justice in Ireland2. Spatial Data & Justice in Ireland
• Critical Aspects of Data Gaps and Absences
• Limited detailed geographyLimited detailed geography
• Census data on measure of spatial injustice and
deprivationdeprivation
• Additional routinely collected admin data
• New Question on General Health in 2011
6. 3 Composition or Context3. Composition or Context
• Debates within Medical/Health Geography
• Explaining health injustices
• Individual v Aggregate forms
• Administrative v Operational Units• Administrative v Operational Units
• New SA geographies
• Functional and Statistical Value
7. 4 Health and Justice at National Scale4. Health and Justice at National Scale
8. National General Health Data
General Health 2001/2 2011
% %
Rep. of Ireland*Rep. of Ireland
Good/Very Good No question 88.3
Fair No question 8.0
Bad/Very Bad No question 1.5
N th I l dNorthern Ireland
Good/Very Good 70 79.5
Fair 19.3 14.9
Bad/Very Bad 10.7 5.6
Scotland
Good 67.9 n/a
Fair 21.9 n/a
Not Good 10 2 n/aNot Good 10.2 n/a
England & Wales
Good/Very Good 68.6 81.2
Fair 22.2 13.1
/Bad/Very Bad 9.2 5.6
UK 3 point scale
(Good‐Fair‐Not 5 point scale (VG‐
Good) G‐F‐B‐VB)
11. 5 Developing the KFIW5. Developing the KFIW
• Kavanagh‐Foley Index of Wellbeing (KFIW)
• Simple Calculation from Census 2011Simple Calculation from Census 2011
• =(% VGH*1)+(%GH*2)+(%FH*3)+(%BH*4)+(%VBH*5)
• Operational across scales
• Means and RangesMeans and Ranges
• Age‐Standardisation
12. 6. Results at Variable Spatial Scales6. Results at Variable Spatial Scales
National/RegionalNational/Regional
County/Local Authorities
LEA – Local Electoral Area
l l i i iED – Electoral Divisions
SA – Small AreasSA Small Areas
Settlements
Functional Areas, e.g. Local Health Offices (LHO)
16. 7 Validation and Comparisons7. Validation and Comparisons
• Spatial Justice Geographies
• Established relationships between health andEstablished relationships between health and
a range of social indicators
A f f i l j i i• A form of spatial justice mapping
• Tested at a number of scales
19. KFIW and Social ClassKFIW and Social Class
Kavanagh-Foley Index of Wellbeing
171.19
165.83
180.00
146.86
127.41
134.23
141.69
150.93
155.03
165.83
120.00
140.00
160.00
All social classes
SC1
60 00
80.00
100.00
KFIScore
SC2
SC3
SC4
SC5
20.00
40.00
60.00 SC6
SC7
0.00
Social Class
20. KFIW and DisabilityKFIW and Disability
Total persons 146.86
An intellectual disability 229.58
Difficulty in learning, remembering or concentrating 236.35
Deafness or a serious hearing impairment 236.94
Total persons with a disability 241.75
Blindness or a serious vision impairment 251.88p
Psychological or emotional condition 255.37
Total disabilities 272.10
Diffi lt i ki tt di h l/ ll 276 34Difficulty in working or attending school/college 276.34
Other disability, including chronic illness 276.84
Difficulty in participating in other activities 281.60
A condition that substantially limits one or more basic physical activities 286.98
Difficulty in going outside home alone 287.68
Difficulty in dressing, bathing or getting around inside the home 295.22
21. KFIW and Informal CareKFIW and Informal Care
Carer
(HPW) PVG PG PF PB PVB KFIW
Up to 14 54.00% 34.86% 9.28% 1.05% 0.18% 156.66Up to 14 54.00% 34.86% 9.28% 1.05% 0.18% 156.66
15 to 28 46.55% 38.26% 12.49% 1.62% 0.35% 168.76
29 to 42 45.87% 38.67% 12.72% 1.68% 0.32% 169.69
43 to 84 41.14% 40.51% 15.40% 1.91% 0.35% 177.75
84‐167 41.55% 40.42% 15.04% 2.08% 0.31% 177.42
168 36.03% 41.36% 18.42% 2.76% 0.65% 188.30
NS 42.99% 36.11% 15.61% 3.05% 0.75% 178.01
TOTAL 47.73% 37.10% 12.35% 1.69% 0.78% 169.65TOTAL 47.73% 37.10% 12.35% 1.69% 0.78% 169.65
22. 8 Potential Uses for Spatial Justice8. Potential Uses for Spatial Justice
• Potential Use for modelling changes
• Build local/community geographiesBuild local/community geographies
• Secondary Care Utilisation Patterns (HIPE)
• Primary Care Utilisation (GMS)
• Comparisons with Mortality data as itComparisons with Mortality data as it
emerges.
• Potential for other forms of spatial analysis:
MLM, Microsimulation
23. SummarySummary
• Valuable new data set that can inform studies of
spatial justice
• Operates at meaningful geographical scales
• Potential explanatory relationships identified withPotential explanatory relationships identified with
range of indicators
• Potential to inform health and social care planning• Potential to inform health and social care planning
• Link to improved administrative data capacity and
wider statistical analysiswider statistical analysis
• Important to ground truth v qualitative work too.