Impact assessment and RBM in the FISH CRP: a quick overview

Transcription

1 Impact assessment and RBM in the FISH CRP: a quick overview Andrew Thorne-Lyman, MHS, ScD Impact Assessment Focal point, Senior Nutrition Specialist, WorldFish Center Adjunct Lecturer, Harvard School of Public Health

2 Presentation overview Describe the CRP targets and research activities Components of the RBM/MEL/IA system Approach to IA Challenges, constraints and needs

3 Outcomes by 2022: Productivity and Livelihoods 4.9m households adopt improved breeds, aquafeeds, fish health, aquaculture and fisheries management practices 3.5m people assisted to exit poverty through gender-inclusive livelihood improvements

4 Outcomes by 2022: Food and Nutrition Security 2.4m fewer people suffering from deficiencies in essential micronutrients, with at least 50% women 4.7m more women of reproductive age consume an adequate number of food groups

5 Outcomes by 2022: Environment and Ecosystem Services Greenhouse gas emissions reduced by 20%, and water and nutrient use efficiency increased by 3.3m ha of ecosystems restored through more productive and equitable management 10%, in 4.8m metric tons of annual farmed fish production

6 Flagship 1: Aquaculture Challenges Rapid growth Low production efficiency Diseases Pollution Dependence on wild stocks Dependence on fishbased feed Gender inequities Research needs Breed improvements GIFT Tilapia Rohu Fish health Sustainable feeds Environmental management Gender equitable distribution of economic and nutritional benefits

7 Flagship 2: Small-scale fisheries Challenges Severe pressure from overfishing, particularly in resource-poor regions Highly complex ecological, social and institutional environments Productivity and sustainability often undermined by poor governance Gender and social inequities Research needs Resilience based analyses and interventions to support improved governance in coastal and inland systems Analysis of trends in context of global food systems Policy research to enhance governance, improve safety nets and build resilience

8 Flagship 3: Nutrition Challenges Lack of diversity in the cereal-based diets of the poor, particularly of women and children Post harvest losses Fish often not integrated in nutrition strategies Low fish consumption by people most in need Research needs Sustainably increase the production of small indigenous fish to grow this source of nutrition for poor consumers Analyze value chains to reduce waste and loss in markets supplying poor consumers Identify ways to increase consumption of fish by poor, reproductive-age women and young children

9 Geographic Scope 6 focal countries integrating research and development outcomes across all 3 flagships Aquaculture research hub and training center 2 focal countries for specific flagships Hub for learning networks on small-scale fisheries governance

10 Impact assessment budget and plans Current status in WorldFish 1 focal point in HQ (part time) Expertise Bangladesh and Pacific (dedicated to bilateral projects) FISH CRP Budget Elements (IA $7M over 6 years, 3.9% of CRP Budget) Human resources 1 M&E Lead Full time international scientist M&E design and implementation Full time Program Coordinator- output planning and monitoring Database developer Dedicated staff time in focal countries

11 Budget elements (continued) Database for real-time data entry Tablet-based system for sample surveys Evaluations and impact assessments Annual evaluations and reviews Flagship specific Impact assessments (internal resources) Estimating economic social and environmental benefits of FISH research outputs Contribution and value added Contingent, contextual factors supporting claims for CRP effectiveness

12 Measuring dissemination of GIFT Tilapia hatcheries can produce >15 million fingerlings per year Rapid scale-out Flush through system- farmers do no breeding. Records from breeding nuclei allow tracking of distribution to multiplication hatcheries Tracking of what hatcheries have and sales by hatcheries can be used to estimate what farmers are growing Do hatcheries know what they have? Validation study in Philippines and Bangladesh Study adoption and on the ground productivity after 2-3 years

13 Progress to date: Hatchery sampling Objective 4: Genetic origins of hatchery-level tilapia stocks PHILIPPINES BANGLADESH 2015 Production Hatcheries Fingerling s sampled (millions) Uncertain Non-GIFT Derived GIFT Derived Total Production Hatcheries Fry sampled (millions) Uncertain Non-GIFT Derived GIFT Derived Total

14 Examples of indicators/measurement approaches: sub-ido level Sub IDO Indicator(s) How collected Frequency Closed yield gaps through improved agronomic and animal husbandry practices Average production (kg/hectare/year) Logbooks, sample surveys, partner reports Annually Improved diets Fish consumption, WDDS, WFP FCS, disagg. by gender Surveys, secondary data. Farmers and non-farmers Every 3 years Food safety Reduced biolog./chem hazards in food system Sample surveys Every 3 years Increased income/ employment #men and women assisted to exit poverty Household surveys, well being indicators, HEIS, national data Every 3 years

15 Understanding narratives of change

16 Achieving and measuring influence Importance of establishing RBM culture for achieving influence Managing for project outputs vs. project outcomes vs. managing for larger change Online tracking system for realtime data collection Technology mentions? Policy changes Annual results harvesting workshops/after action reviews Partner surveys?

17 Challenges: measuring impact on dietary diversity and micronutrient status Challenges No baseline Capturing effects on diets of farmers and non farmers (and pathways) Responsiveness of indicators Appropriateness of secondary data? Approaches Assumptions for now Build in studies to establish relationships between our primary outcome indicators and SLO indicators

18 Challenges and constraints Expertise and capacity Quantitative and qualitative Resources Does bilateral funding align with bigger picture IA? Estimating impacts Lack of baseline data Suitability of secondary data Precision to detect Attribution Capturing scaling and partner adoption

19 Thank You