SAKIKO FUKUDA-PARR COLLABORATIVE WORK WITH JOSHUA GREENSTEIN, SUSAN RANDOLPH, TERRA LAWSON-REMER...

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SAKIKO FUKUDA-PARR COLLABORATIVE WORK WITH JOSHUA GREENSTEIN, SUSAN RANDOLPH, TERRA LAWSON-REMER Beyond Indicators: why metrics matter

Transcript of SAKIKO FUKUDA-PARR COLLABORATIVE WORK WITH JOSHUA GREENSTEIN, SUSAN RANDOLPH, TERRA LAWSON-REMER...

SAKIKO FUKUDA-PARR

COLLABORATIVE WORK WITH JOSHUA GREENSTEIN, SUSAN RANDOLPH, TERRA LAWSON-REMER

Beyond Indicators: why metrics matter

Beyond Indicators for assessing state performance – some insights from the SERF

Index

Indicators in evaluative frameworks (normative use)Exploring characteristics and conditions (predictive and behavioural use)

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Progressive realization

‘Each State party to the present Covenant undertakes to take steps, individually and through international assistance and cooperation, especially economic and technical, to the maximum of its available resources, with a view to achieving progressively the full realization of the rights recognized in the present covenant by all appropriate means, including particularly the adoption of legislative measures (article 2, paragraph 1).

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Why metrics matter – measuring HR performance vs development

performance

Obligations of conduct vs. obligations of resultAssessment of conduct: by policy? by ‘effort’? By

empirical evidence of improved outcomes? Value of quantification: rigorous assessment of

magnitude and trendProgressive realization: making progress over time?Maximum available resources: maximum

government spending?Resources beyond government revenue? Constraint of resources imposed by level of development and size of economy?

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Assumptions and evaluative frameworks

Criteria for defining success and failure, compliance and non-compliance with obligationsFocus of measurement: (i) achieved level; (ii) pace of progress and progressive realization; (iii) initial starting point; (iv) resource constraints and maximum resources.

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Comparison of evaluative frameworks

Achieved level

Pace of progress

Initial conditions

Resource constraints

‘HR outcome Indicators’

x (x) (x)

MDGs – on/off track

x

MDG – pace of progress method

x x

SERF Index x (x) x x

HDI x (x) (x)

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Example: achieving MDGs vs. ESR fulfillment

Country MDG 1 SERF Index (work component)

MDGs overall

SERF Index composite

China Likely 63.98 On track/likely 5/5

79.73

India Possible to achieve

27.6 Possible 4/5 56.06

The Gambia Off track 5/8 93.88 Off track 5/7Likely/poss 2/7

81,65

Viet Nam On track 58.66 On track/likely 7/8

78.79

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Illustration: level vs pace of progress for child mortality

Country UN monitor Annual Change post 2001

Post 2001 change in pace of progress

Libya On track -0.57 Slower

Mexico Achieved -1.14 Slower

Malawi Possible -8.43 Faster

The Gambia Off track -3.14 Faster

Lesotho Off track -3.29 Faster

Togo Off track -3.14 Faster

Tanzania Possible -3.86 Faster

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Illustration: HDI vs SERF vs. Income

HDI improvement top performer

SERF score Income top performer

SERF score

Oman 52 - 75 China 80

China 80 Botswana 60

Nepal 68 S. Korea 92

Indonesia 66 Hong Kong (85)

Saudi Arabia 71-81 Malaysia 85

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Using measurement to explore conditions for human rights performance

Explore relationships between SERF scores and:-Government spending-Gender equality-Governance, civil and political rights, legal guarantees-Economic structure-Regions

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Public expenditure

Health and education: weak relationship - High spending does not guarantee good

score, low spending does not guarantee low score. However on average good performers spent more than 2% gdp on health, almost 5% on education

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*OUTLIERS REMOVED

Gender equality

Shows strongest correlation with SERF performance

Social Watch Gender Equality Index - 70% of countries with good scores scored more than 70

UNDP Gender Inequality Index – good performers had good GII index, poor performers had poor GII index

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Social Watch Gender Equality Index

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UN Gender Inequality Index

Governance/Civil and political rights, legal guarantees

Polity combined index (democracy) – positive but inconsistent correlation. V. few countries scoring well on Polity score poorly on SERF

CIRI – V. few high CIRI score countries do poorly on SERF

World Bank governance indicators – positive correlation but many good performers on SERF do poorly

TIESR (legal guarantees) – positive but inconsistent correlation for health, weak for food

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Relationship with Polity Autocracy/Democracy Score

Relationship with Performance on CIRI Rights Index

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Control of Corruption, WB

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Voice and Accountability, WB

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Rule of Law, WB

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Serf

Political Stability, No Violence, WB

Legally Enshrined Social and Economic Rights

Average Governance Measurement Scores, LAC and SSA

Economic structure

Higher proportion of GDP in manufacturing and services – better performance by SERF

Higher proportion in agriculture – weaker performance by SERF

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% GDP Agriculture

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% GDP Natural Resource Rents

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% GDP Services

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% GDP Agriculture

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% Population Rural

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% Population Urban

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% Population Urban

Structural Relationship constant?

Structural Relationship constant?

Regional comparison

Sub-saharan Africa and South Asia have lowest average scores

More than 75% of countries with poor SERF scores are in SSA

FSU and LAC do disproportionately well.

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Regional comparison36