PEN partner mini-presentations PEN workshop, Bogor, March 26 2009 Abebe Seifu (30202) Welcome to my ......

Location of the study area The study was conducted in Arsi Forest Industry, AN Woreda/district, ORS, Ethiopia Six villages adjacent to the forest were selected, 4 them in the Hl, the rest in the Ll

Characteristics of the study area Value MARF 700-1200mm Temp. 20-25 degree centigrade Alt. 1600-2100 masl Forest zone WL, Plantation, AMF Area 140 square km # villages 6 # people 8544 # HH 230 Average # of HH 6.8

Household income sources Total Cash Subsistence DF 353.4154 79.25415 (22) 275.4009 (78) FD 14.82456 1.76131(12) 13.054 (88) Fish 7.25543 2.543115 (35) 4.712315 (65) NFE I 17.72428 17.71755 (100) Aquacult Crop 701.5111 233.2293 (33) 470.1436 (67) LS 306.9987 49.89837 (16) 257.10033 (84) PFS Other 25.80761 Wage 100.2786 Business 61.42584 HIS are mainly subsistence

HH Income shares by main categories FI contribution is 26% ; it is almost a third of Agriculture (62%)

Income sources and seasonality Except for Q3 (crop harvesting period Nov. Decemb, Jan), FI exceeds AI in all other Qs

Key forest products & env’tal income NI NI % CI CI % SI SI % DFI FW 114950.5 71.72 24673.75 21.46 90276.75 78.54 pole 18405.25 11.48 13076.25 71.05 5329 28.95 FDI WF 6617 54.79 615 9.29 6002 90.71 OWT/U 4443 36.79 333.3 7.5 4109.7 92.5 Fish 2768.5 100 1172.5 42.35 1596 57.65 EI Fodder 6815.5 77.37 3 .04 6812.5 99.96 TG 1477 16.77 FPI categories that provide more than 10% include Own reported use was used to estmate subsistence fprest/env’tal goods

Income composition and poverty Quintiles FI AI RI % 1 196.80 544.37 36 2 223.47 872.62 25 3 311.88 1221.23 26 4 362.53 1830.32 20 5 753.84 3512.23 21 We have seen the average contribution FI was 26% This varies across quintiles For the first quintile and the poorest 36% It drops to 20% for the better of, the 4th and 5th quintiles

Other patterns 17% of HHs report using forests to weather misfortune Sell of assets is the most common alternative to mitigate shock Not yet done Closeness to road and market has little or no effect No further analysis have been done. The study is still data cleaning phase.

Policies and overall findings Forest income have an important income equalizing potential among the studied HH Restricting HH’s access to forest income can have a diferential effect on their LH and welfare The overall finding suggest that An important policy lesson is that

Revisiting the HH income share Source Guess Finding Forest 12 24.8 ??? Fishing & Aqu. 0.1 0.6 NFEI 1.4 Wage 1 5.4 Business 2.4 Agriculture-crop 65 43.3 Agriculture-LS 20 18.9 Other 0.3 2.3 Forest derived NA 0.9 Total 100 What i have assumed before my field work What I have found out after the field work

PEN partner mini-presentations Tan-Q