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Measuring the impact of livelihood initiatives in the conservation context Initial results from Samburu National Reserve, Kenya IUCN Resources, Environment and CARE Economics Center for Studies In collaboration with: Todays presentation


  1. Measuring the impact of livelihood initiatives in the conservation context Initial results from Samburu National Reserve, Kenya IUCN Resources, Environment and CARE Economics Center for Studies In collaboration with:

  2. Today’s presentation 1. Overview: refinements to AWF’s approach to socio-economic impact assessment 2. Case study from Samburu, Kenya

  3. Background AWF has five main types of Priority Interventions (PIs): • Land • Enterprise • Capacity building and leadership • Species and research • Policy New methodology: focused on improving measurement of SE impact of first three.

  4. Inadequacy of existing measures / Needs / New features � Cover some enterprise and some capacity building indicators. � Need additional measures (donor and internally driven) notably: 1. Need for aggregate measures of livelihood (beyond financial): how significant are non-financial factors compared to financial factors? • What are the non-financials? Guided by Sustainable Livelihoods framework • Uses participatory valuation for valuing non-financials 2. Need for household level impact in addition to community • HH surveys 3. Need to address equity: how do local costs and benefits vary between communities and/or within communities? • Disaggregated by wealth • Can be disaggregated by e.g. distance from PA, etc. � Need for robust, credible, repeatable, data- and cost-light methodology

  5. New Methodology: assessing impacts using combination of 4 methods 1. Rapid social impact assessment (RSIA): to identify which intervention- related benefits and costs are significant to households for 30-odd welfare indicators. 2. Household economic (financial) analysis (HES): to assess the value of RSIA financial gains and losses to households, and to wealth groups. 3. Participatory economic valuation (PEV): to assess RSIA non-financial gains and losses to households. Each household ranks and weights each ‘strong’ positive and negative impact identified in the RSIA. A financial item(s) (‘numaire’) is included, allowing comparison / equal calibration of financials and non-finacials. Weights assigned can also be translated into dollar values. 4. Focal Group Discussions (FDG): to validate and/or modify results. These are ideally by wealth group and gender

  6. Case Study: Assessment of the socio-economic impacts of the Samburu National Reserve:

  7. 3 2 6 5 4 1 A baseline for future intervention in surrounding communities

  8. Financial & non-financial costs & benefits Annual HH Costs (n=157) USD Annual HH Benefits (n=157) USD Loss from wildlife -444 Security to people 295 Livestock health -425 Knowledge and exposure 259 Grazing access -308 Livestock marketing 196 Grazing quality -288 Employment 118 Livestock water access -242 Health access 80 Timber -226 Illegal hunting 71 Household water -127 Water infrastructure 49 Relations internal -120 PA related income 25 Emigration -96 Transport 19 Firewood -81 Road 11 NTFP -71 School bursaries 6 Immigration -53 Time -38 Fines -27 Relations external -9 Social status -3 TOTAL: -2730 1300

  9. Financial & non-financial local impacts Total community financial and non-financial costs-benefits (annual USD) 400000 200000 0 NTFP Status G quality LVS water HH water Timber Road Rel in Rel out Sec ppl Health Bursary Time Fines Income G access LVS health LVS mktg Firewood Wa ter infra Ill huntg Sec w ildlife Knowledge Tran sport Immigratio n Emigration Employment -200000 -400000 -600000

  10. Financial vs non-financial impacts - aggregate Financial vs non-financial contributions at local level (annual USD) Samburu NR 1500000 1000000 500000 0 Financial -500000 Benefits Costs Net NonFinancial -1000000 -1500000 -2000000 -2500000

  11. Wealth groups: benefits, costs and net cost-benefit distribution (significant) Samburu NR Kenya (A1) Ob Luang NP Thailand (A2) 800.00 4000.00 3000.00 600.00 2000.00 400.00 1000.00 Average P EV Benefit/HH/yr 0.00 Average PEV Benefit 200.00 Very Poor Poor Average Rich Average P EV Cost/HH/yr -1000.00 Average PEV Cost - -2000.00 Net PEV Impact/HH/yr Net PEV Im pact Very Poor Poor Average Rich -3000.00 (200.00) -4000.00 (400.00) -5000.00 -6000.00 (600.00) Bwindi NP Uganda (B1) Balbalasang Balbalan NP Phillipines (D2) 3500.00 200 3000.00 150 U S D pe r hous e hol d pe r y ea r 2500.00 per year 100 2000.00 50 Average Benefit/HH/yr USD per household Average Benefit/HH/yr 1500.00 Average Cost/HH/yr 0 Average Cost/HH/yr Net Impact/HH/yr Poor Av erage Wealthy Net Impact/HH/y r 1000.00 -50 500.00 -100 0.00 -150 Very Poor Poor Average Rich -500.00 -200

  12. Distance from PA: benefits, costs and net cost- benefit (sign) Annual cost-benefit by distance 1500000.0 1000000.0 Total Benefit for 500000.0 Population 0.0 Total Cost for Population Very Near Medium Far -500000.0 Net cost-benefit -1000000.0 -1500000.0 -2000000.0

  13. Q4: PA cost share between community & PA authority 1500000 1000000 500000 0 Total benefits/revenue Community PA Authority -500000 in the Last Year Total Cost Incurred in -1000000 the Last Year -1500000 -2000000 -2500000 -3000000

  14. Focal Group Discussions Q: Do some groups in the community receive more benefits from the PA? Perception is that: benefits are captured by communities located nearer to the PA, and households nearer to the SNR gates. Tourists are also an important vehicle for indirect benefits to surrounding communities. They provide access to health and school, as well as direct income by buying local artefacts but tourists are only brought to the nearest communities and households. Q: Do some groups in the community bear more costs than others from the PA? Perception is that : (A) costs are wider spread than benefits. There is consensus that some of the costs, especially in terms of natural capital are borne relatively more by communities far from the PA (people migrating to their area to collect the resources). (B) People who own livestock are more affected than others by costs (fines, access to grazing, access to water, wildlife attacks, disease…).

  15. Methodological issues / conclusions • Even in a simplified valuation framework such as this, a myriad of technical considerations • Accuracy of the valuation process greatly enhanced by iteration with community • Needs a ‘poverty adjustment’ to put the impact values into livelihood perspective • Need to be very careful on numaire choice (over / under-estimation danger) • Impact types need further refining to distinguish between e.g. inputs vs outputs (double-counting danger) • Who are the community? (the scaling-up issue)

  16. Initial positive conclusions � Researchers felt that the PEV method has integrity in terms of relative magnitudes. Less certain about absolute magnitudes. � Delivering aggregate impact information to donors and connecting socio- economic and conservation impacts � Non-financial impacts / values are significant � Should help strengthen intervention design and modification, identify suitable entry-points � Improve management of expectations, enhance ownership of projects of beneficiaries, particularly use of community enumerators – which also builds local M&E capacity

  17. 3 2 6 5 4 1 Moving forward: A baseline for future intervention in surrounding communities

  18. Community indicators for interventions 1 Conservation Intervention Component 1: Institution-bldg • Harmonisation of GRC (governance-mgmt) & conservancy roles • Capacity built for effective implementation of GR projects (conservancy); GRC (governance) (a) technical skills (b) appropriate management structures functioning • GR strategic plan – long-term plan + short term action plan Impacts: – Systematic management / sustainable-improved use of resources – Improved decision-making – Development roadmap guiding actions Indicators: ….?

  19. Community indicators of success 2 Conservation Intervention Component 2: Enterprise development • Strategic Business Plan for maximisation of revenue potential • Revenue-sharing mechanisms developed • Appropriate contracts secured with tourism operators • Strategic Plan for community enterprise development/capacity e.g. micro- enterprise Impacts: – Employment, skills, enterprise-income, funding self-sufficiency for GR operations, enhanced hospitality, water access, education, health, investor confidence Indicators: …?

  20. Community indicators of success 3 Conservation Intervention Component 3: NRM planning & implementation • NRM Action Plan – zonation • Management by-laws developed for each land use type • GR constitution developed and adopted • Implementation initiated of NRM priorities Impacts: – Equitable use of resources – Reduction of conflict – human-wildlife, livestock-wildlife, e.g. water, tolerance levels; between neighbouring communities; within community – Each individual becomes responsible for conservation – Improved NRM productivity & management – GR water management & development plan Indicators: ….?

  21. Learning together: 5 Maasai in Zimbabwe

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