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Impact evaluation of Climate Change interventions
Dr Virinder Sharma,
DFID India
Current state of play on IE of CC and Environment interventions
• 2008 Review- Adaptation: evaluations based on qualitative methods
» Stakeholder interviews» Lack baselines» Not integrated into project
• Mitigation: Desk reviews, interviews and short visits
• Lack of counterfactual analysis• Exceptions: PES, Protected areas and
Forest conservation
Challenges of conducting IE of CC
• Environment- Long term lag between intervention and impact ; Environmental & welfare outcomes
• Adaptation indicators and success?• Focused on CB & governance processes• Mitigation -how to assess impact on welfare and the
adaptation co-benefits
Possible approaches:• Use behavioural change as a proxy• Use indicators of development effectiveness to assess
impact on adaptive capacity
Determinants of adaptive capacity
Adaptive capacity is determined by access to and control over livelihood resources
Access and control over these resources are determined by policies, institutions and power structures
SL framework: Determinants of adaptive capacity
Livelihood resources
Examples
Human Knowledge of climate risks, conservation agriculture skills
Social Women’s savings and loans groups, farmer-based organizations
Physical Irrigation infrastructure, seed and grain storage facilities
Natural Reliable water source, productive land
Financial Micro-insurance, diversified income sources
Policies, institutions and power structures
Sustainable Livelihoods Framework: 14 Household vulnerability indicators
DFID RL projects: IE Methodology Objective: Comprehensive Impact Evaluation based on qualitative and quantitative analysis
Whether there is change, what contributed to change? Is is attributable to the project?
Design: Counterfactual analysis; Mix Design and Cross-sectional; difference in difference estimation
Instruments: HH schedule; FGD checklist, MoP, LIMES
Sample: Random selection of intervention/control groups.
32 MWS Project, 16 MWS Control
Project 1400 hh (64 villages), Control 700 hh (32 villages)
WBR category-wise distribution of households
Well Off9%
Manageable22%
Poor39%
Very Poor30%
Sample Profile Caste-wise distribution of the households
0.0
10.0
20.0
30.0
40.0
50.0
60.0
Schedule Caste Schedule Tribe OBC Others
% h
ouse
hold
s
Project
Control
BPL - 67% (P), 62% (C) ST- 49% (P), 29% (C)
Socio-economic, Climate/Environment outcomes
Increase in Livelihood Assets
Increase in Livelihood Assests
42.2 43.053.4 52.0
45.6 46.4 51.7 54.741.5 40.1
47.8 48.8
40.8 39.1
40.5 39.7
33.8 29.8
35.5 32.045.2 47.5 35.2 32.6
17.0 17.96.1 8.3
20.6 23.812.8 13.3 13.3 12.4 17.0 18.6
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Poor VeryPoor
Poor VeryPoor
Poor VeryPoor
Poor VeryPoor
Poor VeryPoor
Poor VeryPoor
Natural Physical Financial Social Human Total
% h
ouse
hold
s
Low Significant Highly Significant
Socio-economic, Climate/environment Outcomes Improvement in disaster coping capacity
Category Project (%) Control (%)
Marginal farmers 74 66
Small Farmers 75 77
Medium Farmers 88 88
Factors for improved disaster coping capacity
44
4
6
5
4
23
35
28
5
5
6
5
20
27
29
26Enhanced agriculture production
Drought proofing
Increased fodder availability for cattle
Increased access of drinking water for household & cattle
Increased availability of drinking water for household & cattle
Enhanced food availability from Grain Bank
Diversification of livelihood activities
Access to consumption credit
% marginal farmers
Control
Project
Critical reflection of IE in CC and Development programmes
• Climate Change: local vs. macro impacts regional/global) • CCA and development: Uncertainty, risk management,
vulnerability and resilience (transformative?)• Participation approaches (Low income) vs. heterogeneity• Political economy/governance issues• Application to Government programmes-
Physical and Financial achievements vs. Inputs & outputs
• Outcome budgeting (indicators) outcomes-impact• Results Framework Document: success indicators• Evidence of effectiveness of funds/interventions; What
works- what doesn’t- circumstances-cost• Positive examples: Watershed, NREGA/Green Jobs
Potential Impacts of Climate variability in Western Orissa: drought
Potential Impacts of Climate variability in Western Orissa- sand casting/flash floods