1. 1 Debriefing for JRP training Social Impact Monitoring and Vulnerability Assessment (SIMVA) Thim Ly 11 June 2012 Environment Division, OSV

2. Contents Introduction Monitoring Indicators Methodology Outputs Some facts on population corridor

3. Introduction Social Impact Monitoring (SIM): social condition Vulnerability Assessment (VA): social vulnerability Objective: to establish social impact indicators that reflect current socio-economic conditions and the extent of people’s dependence on water resources Water quality monitoring and ecological monitoring Monitoring: – Identify any significant changes in people’s dependence on water resources – Serve as an indicator of any potentially significant social impacts – Serve as the need for precautionary measure

4. Historical process: – SIMVA 1 (2004-2006): Literature review for SIM and VA – SIMVA 2 (2008-2010): Pilot Study for the Mekong Corridor – SIMVA 3 (2010-2012): Baseline Survey for the Lower Mekong Basin

5. Monitoring Indicators Vulnerability context (8) Dependence on fish, OAA, and irrigation and riverbank cultivation (31) Resilience (12) Shocks and trends (9) Vulnerability to climate change (10)

6. Methodology Social survey 15 km corridor 40 km corridor (buffer zone) 8 zones 340 hhs per zone 680 hhs per country 2,720 hhs in total Exclude urban population

7. The HH Questionnaire I. Introduction, identifiers, quality control II. HH Members III. Most important occupation IV. Livelihood activities V. Alternative livelihoods VI. Dependence on fish VII. Dependence on OAAs and OAPs VIII. Dependence on cultivated crops IX. Aquaculture X. Consumption of food yesterday XI. Food storage and purchasing XII. Expenditure XIII. Key sources of Income XIV Assets XV. Water supply and road access XVI. Flooding XVII. Drought XVIII. Climate Change

8. Outputs SIMVA report to be published as an MRC Technical Paper Primary database to be used by MRC Programmes including BDP, CCAI, IKMP, FP, ISH, and FMMP.

9. Corridor population Source: Data processing from LandScan Population Data 2010

10. Thank you for your attention !