doba report final - tufts · 2017. 6. 12. · in doba woreda, implemented by care. the study in...

67
PSNP PLUS LINKING POOR RURAL HOUSEHOLDS TO MICROFINANCE AND MARKETS Impact Assessment of Microfinance Honey and Crop Value Chain Interventions Final Impact Assessment of the PSNP Plus in Doba Woreda September 2011 John Burns and Solomon Bogale

Upload: others

Post on 27-Jan-2021

1 views

Category:

Documents


0 download

TRANSCRIPT

  • PSNP PLUS

    LINKING POOR RURAL HOUSEHOLDS TO MICROFINANCE AND MARKETS

    Impact Assessment of Microfinance Honey and Crop Value Chain Interventions

    Final Impact Assessment of the PSNP Plus in Doba Woreda September 2011

    John Burns and Solomon Bogale

    ! "#$ "#%&'(()&)*)+!&,(*-.,(!/-& &0(&1"2)(3"#+#2.&+#/&1+)$.0- & &

    !"#$%&'()!"($**+(%&(+,+-#(")!%*$%-('+-.,-)"(/+*0($+*.,1)%2"(3-/")4(&")($+*'+-0(

    566785699(

    '-#'&!"#$&

  • 2

  • 3

    Acknowledgements The PSNP Plus Program “Linking Poor Rural Households to Microfinance and Markets in Ethiopia’ was funded by the United States Agency for International Development (USAID). The Program was led by CARE, and implemented by CARE, Save the Children (UK), Catholic Relief Services (CRS) and partners, and the Relief Society of Tigray (REST). The Netherlands Development Organizations (SNV) and the Feinstein International Center at Tufts University provided technical support to the implementing partners. The authors would like to acknowledge the members of the research team; Tesfaye Disasa, Abdisa Hatewu, Habib Abu and Sinan Olani. We would also like to thank the CARE office in West Hararghe for supporting the assessment. In particular we would like to thank Lulu Taye, Wubeshet Demissie and Zerihun Dibabe. Special thanks to CARE community facilitators, Samrawit Dagnachew, Getachew Fikadu, Senait Alemayehu, Senait Haile, Temane Alemayehu, Murad Ayub and Abduleziz Ahmed. We would also like to thank the community development agents and assessment participants for their support and valuable contributions to the research, and for their wonderful hospitality. We would also like to thank Jay Banjade and Yetnayet Girma from CARE Ethiopia for their support. This report and the associated study were made possible by the generous support of the American people through the United States Agency for International Development (USAID). The contents are the responsibility of CARE and its PSNP PLUS partners and do not necessarily reflect the views of USAID or the United States Government. The content of this report is derived from research carried out by the Feinstein International Center, Tufts University under the USAID funded PSNP Plus project. The contents of this report have not been endorsed by the other PSNP Plus partners, and do not necessarily reflect the views of these organizations.

  • 4

    CONTENTS SUMMARY .............................................................................................................................................. 7  1.   INTRODUCTION ........................................................................................................................... 10  

    1.1 Background to the PSNP Plus Program ..................................................................................... 10  1.2 PSNP Plus Overview .................................................................................................................. 11  1.3 Background to the Study in Doba ............................................................................................... 14  

    1.3.1 Study Area General Characteristics .................................................................................... 14  1.3.2 PSNP Plus Interventions in Doba ........................................................................................ 14  

    2.   ASSESMENT METHODOLOGY ................................................................................................... 16  2.1   Study Design ........................................................................................................................... 16  

    2.1.1   Research Questions ........................................................................................................ 16  2.1.2 Study Components .............................................................................................................. 16  2.1.3 Indicator Selection ............................................................................................................... 17  

    2.2   Sampling ................................................................................................................................. 17  2.2.1   Method and Size .............................................................................................................. 17  2.2.2   Study Locations ............................................................................................................... 18  

    2.3   Data Collection Methods ......................................................................................................... 19  2.3.1   Household Interviews ...................................................................................................... 19  2.3.2 Focus Group Methods ......................................................................................................... 20  

    2.4   Data Analysis .......................................................................................................................... 20  3.   RESULTS ...................................................................................................................................... 21  

    3.1   Context and Background ......................................................................................................... 21  3.2 Income ........................................................................................................................................ 24  

    3.2.1 Income Sources ................................................................................................................... 24  3.3 Expenditure ............................................................................................................................. 26  

    3.4 Credit and Savings ...................................................................................................................... 28  3.5 Asset Levels and Changes ......................................................................................................... 32  

    3.5.1 Land Holdings ...................................................................................................................... 32  3.5.2 Livestock holdings ............................................................................................................... 33  3.5.3 Productive Assets/Tools ...................................................................................................... 35  3.5.4 Household Items .................................................................................................................. 36  

    3.6 Changes in Household Food Security ......................................................................................... 38  3.7 Value Chain Production and Sales ............................................................................................. 39  3.8 Scoring of Project Benefits .......................................................................................................... 42  3.9 Strengths and Weaknesses of Program Interventions ................................................................ 46  

    4. DISCUSSION .................................................................................................................................... 49  4.1 Methodological Issues ................................................................................................................. 49  4.2 Changes in Household Income and Expenditure ........................................................................ 49  

    4.2.1 Income Sources ................................................................................................................... 49  4.2.2 Actual Income and Expenditure ........................................................................................... 50  

    4.3 Changes in Access to Microfinance ............................................................................................ 51  4.4 Changes in Assets ...................................................................................................................... 51  

    4.4.1 Land Holdings ...................................................................................................................... 51  4.4.2 Livestock Holdings ............................................................................................................... 52  4.4.3 Productive Assets and Household Items ............................................................................. 52  

    4.5 Changes in Food Security ........................................................................................................... 53  4.6 Utilization of Project Derived Income and Credit ......................................................................... 53  

    4.6.1 Savings and Loan Utilization ............................................................................................... 53  4.6.2 Utilization of Income from White Pea Bean and Honey Sales ............................................. 54  

    4.7 Other Program Benefits .............................................................................................................. 54  CONCLUSION ....................................................................................................................................... 55  ANNEXES ............................................................................................................................................. 60  

    Annex I Community Wealth Indicators in Doba ................................................................................. 60  Annex II Household Checklist ........................................................................................................... 61  

  • 5

    List of Tables Table 1: Value chain outputs under PSNP Plus .................................................................................... 13 Table 2 Sampling frame and actual sample .......................................................................................... 17 Table 3: Final assessment coverage ..................................................................................................... 18 Table 4 Summary of household questionnaire themes and methods ................................................... 19 Table 5: Recent Food Security and Livelihoods Interventions in Doba ................................................. 21 Table 6 Time-line of PSNP and other related interventions in Doba ..................................................... 22 Table 7: Characteristics and background data on assessment participants ......................................... 23 Table 8: Factors Contributing to PSNP Graduation ............................................................................... 23 Table 9: Total Expenditure Before and After ......................................................................................... 27 Table 10 Matrix scoring of microfinance service providers .................................................................... 29 Table 11: Value of savings and loans by source ................................................................................... 29 Table 12: Changes in land holdings ...................................................................................................... 32 Table 13: Livestock sales and mortality 2010-2011 .............................................................................. 34 Table 14 Food Security Calendar (n=15 groups) .................................................................................. 38 Table 15 Factors contributing to improvements in food security ........................................................... 38 Table 16 White pea bean sales ............................................................................................................. 39 Table 17: Honey sales ........................................................................................................................... 40 Table 18: Factors contributing to an increase in income ....................................................................... 44 Table 19: Scoring of other project outcomes (WPB participants) .......................................................... 44 Table 20: Scoring of other project outcomes (Honey participants) ........................................................ 45 Table 21 SWOT analysis of Village Saving and Loan Associations ...................................................... 46 Table 22 SWOT analysis of the White Pea Bean Value Chain ............................................................. 47 Table 23 SWOT analysis of the Honey Value Chain ............................................................................. 48 List of Figures Figure 1: Changes in relative contributions of different income sources (Old) ...................................... 24 Figure 2: Changes in relative contributions of different income sources (New) .................................... 24 Figure 3: Changes in relative contributions of different income sources (Honey) ................................. 25 Figure 4: Expenditure on Key Items (Old) ............................................................................................. 26 Figure 5: Expenditure on Key Items (New) ............................................................................................ 26 Figure 6: Expenditure on Key Items (Honey) ........................................................................................ 27 Figure 7: Savings & Loans Sources (2008 and 2011) ........................................................................... 28 Figure 8: Utilization of savings and credit .............................................................................................. 30 Figure 9 Comparison of loan utilization and total expenditure on key items (WPB) .............................. 31 Figure 10 Comparison of loan utilization and total expenditure on key items (Honey) ......................... 32 Figure 11: Changes in livestock holdings (Old) ..................................................................................... 33 Figure 12: Changes in livestock holdings (New) ................................................................................... 33 Figure 13: Changes in livestock holdings (Honey) ................................................................................ 34 Figure 14: Changes in productive assets (Old) ..................................................................................... 35 Figure 15: Changes in productive assets (New) .................................................................................... 35 Figure 16: Changes in productive assets (Honey) ................................................................................ 36 Figure 17: Changes in household items (Old) ....................................................................................... 36 Figure 18: Changes in household items (New) ..................................................................................... 37 Figure 19: Changes in household items (Honey) .................................................................................. 37 Figure 20: Changes in white pea bean sales 2008-2010 ...................................................................... 39 Figure 21: Utilization of income from white pea bean sales (2010 Harvest) ......................................... 40 Figure 22: Changes in honey sales 2008-2010 ..................................................................................... 40 Figure 23: Utilization of income from honey sales (2010 harvest) ......................................................... 41 Figure 24: Factors contributing to an increase in livestock holdings (WPB) .......................................... 42 Figure 25: Factors contributing to an increase in livestock holdings (Honey) ....................................... 42 Figure 26: Factors contributing to an increase in ‘other’ assets (WPB) ................................................. 43 Figure 27: Factors contributing to an increase in ‘other’ assets (Honey) .............................................. 43

  • 6

    Acronyms and Abbreviations ACSI Amhara Credit and Saving Institute Agric. Inputs Farming Inputs CARE Cooperative for Assistance and Relief Everywhere CI Confidence Interval CRS Catholic Relief Services DA Development Agent DECSI Dedebit Credit and Saving Institution DPPA Disaster Preparedness and Prevention Agency ETB Ethiopian Birr FGD Focus Group Discussion FSP Food Security Program GRAD Graduation with Resilience to Achieve Sustainable Graduation GFDRE Government of the Federal Democratic Republic of Ethiopia HABP Household Asset Building Program HH Household HI Home Improvement Honey Honey sample IGA Income Generating Activity Kg Kilogram LIS Longitudinal Impact Study LIU Livelihoods Information Unit (DPPA) MDTCS Micro Development Training and Consultancy Services MFI Micro Finance Institute MoARD Ministry of Agriculture and Rural Development NGO Non Governmental Organization New New (VSLA) and white pea bean sample OCSSCO Oromia Credit and Saving Share Company OFSP Other Food Security Programs Old Old (VSLA) and white pea bean sample PA Peasant Association (administrative unit) P. Trade/IGA Petty Trade/Income Generating Activities PSNP Productive Safety Net Program PSNP-PIM PSNP Program Implementation Manual PSNP Plus Linking Poor Rural Households to Microfinance & Markets (Program) REST Relief Society of Tigray RFA Request for Applications SCUK Save the Children Fund (UK) SR Small Ruminants SNV Netherlands Development Organization Social. Oblig Social Obligations (wedding/funeral contributions etc) SPSS Statistics Package for Social Sciences SWOT (analysis) Strengths, Weaknesses, Opportunities, Threats USAID United States Agency for International Development VSLA Village Savings and Lending Association WPB White Pea Beans

  • 7

    SUMMARY  

    The USAID funded PSNP Plus program ‘Linking Poor Rural Households to Microfinance and Markets in Ethiopia’ was launched in late 2008 and will run until December 2011. The PSNP Plus was designed as a three-year program in support of the Government of Ethiopia’s Productive safety Net Program (PSNP) which provides food and or cash to chronically food insecure households in exchange for labor on rural infrastructure projects, or direct transfers to households unable to participate in physical labor activities. A consortium of international and national Non Governmental Organizations led by CARE is implementing the program. The program was initially implemented in nine pilot woredas’ in Tigray, Amhara, Oromia and Dire Dawa regional states, with the overall goal of building household resilience and household assets through market linkages and access to microfinance. This goal is directly linked to the objective of facilitating the graduation of households from the PSNP and out of chronic food insecurity. Since it was launched, the program has been linking PSNP households to both formal and informal microfinance. These interventions have included the establishment of Village Saving and Loan Associations, and the provision of credit for agricultural inputs. Complementary to these activities, the program has been linking participating households to market opportunities by supporting the development of livestock, cereal, white pea bean and honey value chains. Ultimately, the combination of the programs microfinance and value chain interventions is expected to contribute towards livelihoods diversification, household resilience, and an increase in household income and assets with associated improvements in PSNP graduation. These outcomes and impacts are reflected in the programs causal model, which in summary proposes that increased access to markets and the enhanced use of microfinance leads to asset accumulation and improvements in PSNP graduation. In order to test this causal logic, a longitudinal impact study (LIS) was included under one of the programs strategic objectives. The LIS included a baseline mid-term and final impact assessment in four of the program study areas. This report presents the results from the final impact assessment of the program in Doba woreda, implemented by CARE. The study in Doba was designed to assess the programs Village Saving and Loan Association (VSLA), white pea bean and honey value chain interventions. The final assessment was carried out during the final year of the project from April to May 2011. A pre-post test design was used to assess changes in assets since the project started. However, the use of a control group of non-project participants was rejected for this particular case study. In the absence of a control, project attribution was assessed using standardized participatory scoring exercises to determine the relative contribution of project factors to any assessed impact. The results show that there has been some positive impact on livelihoods since the mid term assessment in 2009. The results from the mid term assessment showed little to no impact on income or assets with a significant reduction in a number of key household assets. This was mostly due to rain-failure and a poor harvest in 2009, but also in part due to delays in project implementation. The final results suggest that people have to some extent recovered from the impact of the failed harvest in 2009 and the program has contributed towards this recovery. Across the three samples assessed, between 66-70% of participants reported an increase in actual income since the project started. Although this mostly had to do with non-project factors, interventions such as the VSLA component and the honey and white pea bean value

  • 8

    chains did contribute to this increase in income. Overall however, the potential income benefits from the honey and white pea bean value chain interventions have yet to be realized. For example the results show that honey sales from the 2010 harvest only translated into 268 Ethiopian birr (mean value) for assessment participants in the honey value chain. Similarly, income from white pea bean sales from the 2010 harvest translated into between 140-142 Ethiopian birr (mean value) for respondents in this value chain. As such participants scored value chain income lower than all other project benefits assessed. Nonetheless, income from the sale of value chain products was utilized on a variety of livelihoods investments including education, food, and clothes, livestock purchases and farming inputs. The results also show that there has been a significant increase in the overall contribution of income from white pea bean sales relative to other income sources for participants in this value chain suggesting that the project has helped improve household resiliency through livelihoods diversification. The findings show both positive and negative changes in physical and financial assets such as land, livestock and productive assets (tools). For example, a significant increase in modern beehives was observed for participants in the honey value chain, which can be directly attributed to project related value chain transfers. There has also been a significant increase in certain types of farming tools and a significant decrease for other types of tools. Where an increase in productive assets and household items was reported, participants scored the projects VSLA component as a major factor contributing to this increase. The honey value chain participants also scored the honey value chain as somewhat important in contributing towards this increase. The results also show a significant decrease in specific types of livestock holdings and no significant increase. On one level this result is quite discouraging as livestock are considered a key indicator of wealth and resiliency in the study area. However, when analyzed in the context of the midterm results the overall picture is not quite as alarming. The midterm results showed a significant decrease in livestock assets against the baseline as people sold their livestock to compensate for the income and production losses associated with the rain and harvest failure in 2009. The final results therefore show a decrease in livestock against pre-project levels, but a slight increase against the 2009 levels. Although this increase has not been statistically significant, between 45-58% of assessment participants reported an increase in livestock assets since 2009. Although the value chains only played a minor contribution towards this increase, the projects VSLA component was scored as major contributing factor. The results show no change in land holdings for the participants in the white pea bean sample, and a significant decrease for honey participants. Land size is typically measured as the amount of land cultivated by a household, and this is determined by factors such as household labor capacity and access to draft animals. Therefore, the main reasons for this decrease is that less land is actually being utilized than before due to the lack of draft animals, as well as the subdivision of land for participants children. Consistent with this the midterm results showed a significant decrease in oxen for the honey value chain sample. The project has also been instrumental in linking participants to formal microfinance although formal credit still represents a fairly low percentage of overall credit in comparison to other sources. The projects informal microfinance component on the other hand seems to have had a considerable impact on asset accumulation and household resiliency. As mentioned, where an increase in assets was reported, the projects VSLA component was scored as a major contributing factor. Similarly, of the factors contributing to an overall increase in household income, the VSLA component scored significantly higher than either of the project value chains. Across the different samples assessed, the combination of credit and savings for the

  • 9

    past year ranged between Ethiopian Birr 582-725 (mean value) allowing for investments in a variety of livelihoods assets and income generating activities such as livestock, education and petty trade. Investments in livestock from savings and loans represents between 24-54% of total expenditure on livestock for the past year suggesting that the projects microfinance component has been important in contributing to the restocking and recovery process. Overall the project appears to have contributed to asset accumulation and improved resiliency to drought and other livelihoods shocks, with these being scored as important project benefits by assessment participants. The findings appear to suggest that the perceived impact of the projects microfinance component has been more encouraging than the marketing component, although this would strictly be in terms of asset and income accumulation, and not necessarily in terms of the skills and knowledge transfers derived from the value chain component. Furthermore this only reflects the short to medium term impact of the project, as value chain benefits would be expected to extend and even increase over successive production cycles. Although the project in Doba has faced a number of external and internal challenges such as the failed harvest in 2009 and delays in implementation, the findings from this case study indicate that the combination of microfinance and value chain interventions can contribute towards increased income and assets for PSNP households and help households recover from external livelihoods shocks. However, given the experience of the failed harvest in 2009, in all likelihood this trajectory would only be sustained in the absence of persistent and repetitive income and production related shocks.

  • 10

    1. INTRODUCTION  

    1.1  Background  to  the  PSNP  Plus  Program  

    In recent years considerable progress has been made in addressing chronic food insecurity and the risk of repeated crisis in Ethiopia, much of this can be attributed to the Government of Ethiopia’s Food Security Program (FSP). The overall goal of the FSP is to attain food security for both chronically and transitory food insecure households in rural Ethiopia (MoARD, 2009). When it was launched in 2005, the program was built around three key components, a Productive Safety Net Program (PSNP), a Voluntary Resettlement Program and Other Food Security Programs (OFSP). Under the 2010-2015 FSP program, a Capital Intensive Community Infrastructure Component has been included, and the OFSP has been replaced with the Household Asset Building Program (HABP). The PSNP component of the FSP was specifically designed to assist chronically or ‘predictably’ food insecure households as opposed to households affected by transitory food deficits. The program provides either cash or food in exchange for labor on rural infrastructure projects, or direct cash and food transfers for households unable to participate in physical labor. The primary objectives of the PSNP are therefore to prevent chronically food insecure households from selling their assets during times of drought, and to build community assets through involving these households in public works programs (Pankhurst, 2009). In 2006 the PSNP provided support to an estimated 8.6 million people, making it the second largest social transfer program in Africa (Sabates-Wheeler and Devereux, 2010). Ultimately participating households are expected to ‘graduate’ from the PSNP and out of chronic food insecurity. However, although the PSNP has had a significant impact on smoothing consumption, and protecting the assets of the chronically food insecure (Sharp et al, 2006, Devereux et al, 2006), little progress has been made in terms of graduating households from the program (MoARD, 2009). Various definitions for graduation have been proposed, most of these involve the concept of households moving out of chronic food insecurity (for example see, PSNP-PIM, 2006, Slater et al, 2006, and Devereux et al, 2006). A PSNP graduation guidance note defines graduation as follows (MoARD, 2007: 2): “A household has graduated when, in the absence of receiving PSNP transfers, it can meet its food needs for all 12 months and is able to withstand modest shocks. This state is described as being food sufficient”. Essentially graduation involves a two-stage process: the first stage is graduation from the PSNP program, and the second stage involves graduation from the Food Security Program. In order for households to graduate it is recognized that they need to be linked to Other Food Security Programs that go beyond the PSNP food and cash safety net transfers (MoARD, 2006). The OFSP include interventions that provide credit and loans for agriculture as well as non-farm income generating activities, and the provision of ‘agricultural technologies’ such as extension services, and inputs (Gilligan et al, 2009). While the overall goal of the PSNP is to address food insecurity through household asset protection and community asset creation, the OFSP were designed to increase participant’s income from agricultural production, and build up household assets (Gilligan et al, 2009). In theory, this accumulation of income and assets enables households

  • 11

    to graduate from food insecurity and out of the PSNP. In recognition of this, and in support of the Government of Ethiopia’s FSP, in 2008, USAID issued a $ US 12,000,000 Request for Proposals (RFA) entitled “Linking Poor Rural Households to Microfinance and Markets in Ethiopia”. The RFA was launched with the objective of demonstrating that the “adoption of market –led livelihood options for the persistently poor through sustainable links to markets and microfinance services” results “in increased assets at the household level and therefore more resilient households” (USAID, 2008: 18). The RFA also suggests that the value chain approach be considered as an appropriate methodology for linking poor households to markets. More specifically, the RFA called for projects that would contribute to the following higher goals (USAID, 2008: 18-19): • Reduced food insecurity and improved resiliency in vulnerable households • Increased rural economic growth opportunities for the poor to diversify livelihoods • Demonstrate a new market-driven approach to poverty reduction in Ethiopia • Expanded adoption and scaling up of market-driven approaches by new actors such as

    the Government of the Federal Democratic Republic of Ethiopia (GFDRE) • Improved access to microfinance services through a graduated assistance program

    The RFA also required that proposals demonstrate how project results, outcomes, and the ‘replicability’ and sustainability of interventions would be measured and documented. Consistent with this, the RFA called for a preliminary causal model presenting the logic of how the project would achieve the desired outputs, outcomes and impacts, and how these would be measured (USAID, 2008). In response to the RFA, the PSNP Plus program was specifically designed to provide alternative and accelerated pathways to PSNP graduation for chronically food insecure households lacking access to other food security and microfinance interventions (PSNP Plus, 2008).

    1.2  PSNP  Plus  Overview  

    The original PSNP Plus program was launched in late 2008 as a three-year program implemented by a consortium of six international and national NGO’s led by CARE. The program was initially implemented in nine pilot woredas’ in Tigray, Amhara, Oromia and Dire Dawa regional states. The program strategy is based on a push-pull causal model designed to link 42,414 participating households to microfinance and markets through the provision and integration of contextually relevant financial services and value chain interventions. The proposed causal model is based on the assumption that ‘improved linkages between poor households and commodity markets, plus enhanced use of microfinance services leads to asset accumulation at household level with associated improvements in PSNP graduation and resilience’ (CARE, 2008). Consistent with this causal logic, the overall program goal states that: “Targeted PSNP households’ resiliency improved and livelihood assets enhanced as a means towards achieving graduation.” In order to achieve this goal, the program strategy was structured around three interlinked objectives designed to bring immediate positive impact to participants (PSNP Plus, 2008). Objective 1: Targeted PSNP households have increased their financial assets as a result of access to financial products and services. Objective 2: Targeted PSNP households are engaged in functioning markets.

  • 12

    Objective 3: Government and private sector strategies show greater support for engaging PSNP participants in market-based activities.

    Under the first objective, the program provides both formal and informal financial products and services such as credit and savings. Under the second objective, the program has been supporting value chain interventions in honey, white pea beans, cereals and livestock. The combination of these interventions was specifically designed to enable participants to enter markets and accumulate assets, with the expectation that after three years eighty percent of PSNP Plus households would meet the criteria for PSNP graduation (PSNP Plus, 2008).

    The provision of financial services is ultimately geared towards assisting people in building up assets by utilizing loans and savings to invest in high return productive and other income generating activities. For example, the program is designed to assist participants in securing loans for value chain inputs. In the absence of formal microfinance, the program has been promoting the establishment of Village Saving and Loan Associations (VSLA) based on the village agent model developed by CARE. This approach typically involves a group of between 10-25 members. The project provides training and resources to these groups to enable them to manage, maintain and increase their own financial assets such as savings and loans. Under the VSLA approach, members use their own cash resources to lend funds to one another, charge an acceptable interest rate, and re-lend funds on a rotating basis. The program strategy also involves using these groups as a vehicle to link members to formal microfinance. By demonstrating that group members’ financial literacy and knowledge on savings increases over time, the project aims to convince MFI’s to accept groups and individuals as clients. As such, the VSLA groups are intended as a catalyst to provide the linkage between informal and formal microfinance (MDTCS, 2010). Under the market linkage component, the program has been supporting four-commodity value chains viz. livestock, honey, white pea beans, and cereals. Among other criteria, the value chains were selected by consortium partners based on the anticipated production potential of these commodities in the project areas, income earning potential, and market potential in terms of demand and growth. The program aims to assist PSNP Plus participants in the production and marketing of these commodities. On the supply side, the objective of these interventions is not only to increase production, but also to improve the quality of these products with a view to adding to their market value. On the production side, the program provides technical support such as training, as well as certain types of specific inputs such as honey production accessories, livestock and improved seed varieties. The training components and transfer of inputs is facilitated through producer or marketing associations established under the program. The production side of the value chains is also complemented by the microfinance component, in that production inputs such as seeds, livestock and beehives are supplied to project participants on a credit basis from formal microfinance institutions such as Oromia Credit and Saving Share Company (OCSSCO), Dedebit Credit and Saving Institution (DECSI) and Amhara Credit and Saving Institution (ACSI). Under the market linkage component the program has been establishing facilities such as storage and collection centers to prevent spoilage and facilitate marketing, linking farmers to government extension services and the private sector, and establishing market information platforms. Table (1) gives a summary of the objectives and expected outputs of the value chain activities.

  • 13

    Table 1: Value chain outputs under PSNP Plus

    Objectives Expected Outputs Critical bottlenecks for each value chain inhibiting PSNP household’s entry to value chain identified.

    • Existing value chain assessments updated and new value chains validated.

    Targeted PSNP households start production or improve productivity and quality of selected products.

    • Targeted PSNP households have formed producer or marketing associations.

    • Newly formed producer or marketing associations have access to production inputs.

    • Targeted PSNP households received training or technical assistance on productivity and quality of production.

    • Government, private sector, research institutions and others are providing targeted PSNP households with market extension services, post-harvest storage, assistance with handling and marketing.

    • Women have the skills necessary to be successful entrepreneurs. • Private sector engaged in value chain activities and linkages based

    on market demand created. • Private sector and producer/marketing associations engaged in

    contracts, trader credit, warehouse receipt schemes and other contract farming.

    Stakeholder forums and coordination groups help value chain actors and stakeholders resolve problems and meet shared goals.

    • Coordination group and stakeholder forums established for value chain development.

    Market information platforms provide targeted producers with the information necessary to negotiate fair prices, access to technical assistance and productive inputs.

    • Market information platforms created.

    Source: PSNP Plus Project Proposal (2008)

    In line with the PSNP Plus being a pilot program, a specific learning component was incorporated under objective number 3. With a view to generating evidence to influence key stakeholders on how combinations of microfinance and market oriented interventions can enhance PSNP graduation, an independent Longitudinal Impact Study (LIS) was included as a specific program activity. The study ultimately seeks to test and validate the programs causal model by assessing whether the strategies and activities implemented under Objectives 1 and 2 do indeed result in asset accumulation and more resilient households. The LIS was carried out in four study areas covering each of the regions represented by the program, and all four of the PSNP Plus value chains. The study tracked and assessed changes in household assets over three points in time (baseline, mid-term, end of program) using a variety of research designs and methods. This report presents the findings from the final impact assessment of the PSNP Plus project in Doba woreda, which took place from the 28th April to 26th May 2011.

  • 14

    1.3  Background  to  the  Study  in  Doba  

    1.3.1  Study  Area  General  Characteristics   Doba woreda is situated in West Hararghe; it is predominantly rural with only 1.5% of the estimated population of 126,840 being urban dwellers (Anon, 20101). The woreda is estimated to be over 700 square kilometers, the majority of the population is Muslim (86 %) and the primary language spoken is Oromiffa. The main livelihood strategies involve crop and livestock production, however elevations range from lowland to midland to highland, each with its own unique characteristics. The Livelihoods Information Unit (LIU) classifies three different livelihoods zones in the area; Sorghum, Maize and Chat Livelihood Zone, Wheat, Barley and Potato Livelihood Zone, and North East Agro Pastoralist Zone (DPPA, 2008). Although maps for the LIU Livelihoods were not available at the time of the baseline assessment, comparisons with the LIU profiles and the study findings suggest that the study area was limited to the first two livelihoods zones.

    1.3.2  PSNP  Plus  Interventions  in  Doba  

    CARE Ethiopia has been implementing the PSNP Plus project in 33 out of the 40 Peasant Associations (PAs) in Doba. The project activities, which started in early 2009, fall under two complementary components, namely microfinance and value chains. Under the microfinance component the project in Doba aims to improve access to financial products and services by linking participants to formal microfinance institutions (MFI). Because no MFIs existed in Doba prior to the PSNP Plus project, the project has been working with the Oromia Credit and Savings Share Company (OCSSCO) to establish an office in Doba. Prior to this, the project worked with OCSSCO to provide credit services to PSNP Plus participants involved in the program’s value chain activities. The program has also been promoting informal microfinance based on the Village Saving and Loan Association (VSLA) model. This has involved supporting the establishment of new VSLA groups, and the re-training and strengthening of existing groups. Under the market linkage component the Doba project is supporting four commodity value chains, namely honey, white pea beans, cereals and livestock. Among other criteria, the value chains were selected by CARE and partners based on the anticipated production potential of these commodities in the project area, income earning potential, and market potential in terms of demand and growth. However, the cereal value chain was substituted for a small ruminant fattening value chain towards the end of 2010, based on recommendations from the mid term assessment. The project in Doba aims to assist PSNP Plus participants in the production and marketing of these commodities. On the production side the project has provided technical support including training, as well as specific inputs such as honey production accessories. The training components and transfer of inputs were facilitated through producer or marketing associations established by the project. The production side is complemented by the microfinance component, with production inputs such as seeds and beehives being supplied to project participants on a credit basis. These loans were provided by OCSCCO using a project credit guarantee fund.

    1  Wikipedia  

  • 15

    Market information systems and platforms have been established under the project in Doba, as have facilities such as storage and collection centers to prevent spoilage and facilitate marketing, as well as to link farmers to government extension services and the private sector.

  • 16

    2. ASSESMENT  METHODOLOGY  

    2.1 Study  Design  

    2.1.1 Research  Questions   The LIS was designed to test the programs causal model and validate whether improved linkages between poor households and commodity markets, plus enhanced use of microfinance leads to asset accumulation at the household level with associated improvements in PSNP graduation. In order to test this model, the final assessment in Doba tracked changes in household assets across three points in time (baseline, mid-term and final) using the same household participants for each stage of the study. The final assessment essentially set out to answer the following key research questions: 1. What changes in household assets has occurred since the project started? 2. What factors contributed to any assessed change in these assets? 3. What was the relative contribution of project factors to any assessed change? The study focused on measuring changes in physical and financial assets such as land, livestock and productive assets, these being benchmarks for PSNP graduation. The study in Doba focused on the programs white pea bean and honey value chains, with a specific emphasis on the informal microfinance (VSLA) activities. The study also assessed changes in income and the relative contribution of different income sources. This was done with a view to capturing the relative impact of the project value chains on household income, and to capture livelihoods diversification, which might be considered a useful proxy for resilience. Actual changes in certain key investments and expenditures were also measured as a proxy for real income, and to capture investments in livelihoods assets such as health, education, livestock and farming inputs. More specifically, the study measured actual project-derived income from both credit and savings, and value chain profits, and assessed the utilization of this income as an alternative way of measuring impact.

    2.1.2  Study  Components   The assessment in Doba used a pre-post test design to assess livelihood changes of households participating in the programs VSLA, white pea bean and honey value chain interventions. For the purpose of the study, impact is broadly defined in terms of significant and measurable changes that have taken place since the program started that can at least in part be attributed to the programs microfinance and value chain interventions. The study also considers impact in terms of the utilization of project transfers such as credit and project derived income and the livelihoods investments and benefits obtained in relation to these. There were two main components to the final impact assessment in Doba, household interviews and focus group discussions. As implied, the household component used an individual household as the unit of analysis - the household also being the unit for PSNP

  • 17

    participation and graduation. The household component was designed to collect mostly quantitative data using a conventional questionnaire format, and including a number of standardized participatory assessment methods. For example, in the absence of a reliable control, attribution was assessed through the systematic application of participatory scoring methods as described by Catley et al, (2008). The focus group component was designed to collect mostly qualitative contextual data on the project activities, communities, and areas. The focus group discussions were structured around a set of standardized participatory assessment tools providing some complementary numerical data. A number of key informant interviews were also carried out. These were used to collect secondary data on the project and study area.

    2.1.3  Indicator  Selection   The choice of indicators was largely based on PSNP graduation benchmarks at the time of the baseline assessment. A number of additional indicators were also collected during pre-baseline scoping visits to the study area. These included additional indicators on assets, sources of income, and common household expenditures. These indicators were then further refined during the pre-testing for the baseline assessment, and validated during the actual baseline study.

    2.2  Sampling  

    2.2.1 Method  and  Size   For the household component of the study a random stratified sampling approach was used. The sampling frame was derived from the list of project participants involved in the honey and white pea bean value chains during the first year of project implementation. The sample from the white pea bean value chain was stratified into two categories; one including value chain members involved in existing VSLAs and one including value chain members involved in recently formed VSLAs established under PSNP Plus. The overall sampling frame for the honey component was fairly small and so the decision was made to consider the entire sampling frame for the sample regardless of VSLA participation. A total of 431 households were selected using simple random sampling across all three sampling frames. Cross-registered households (double registration within households or non-PSNP participants) were systematically rejected from the sample resulting in just over 13% of the households originally selected being dropped from the sample during the baseline assessment. The actual sample for the baseline assessment was then used as the sampling frame for the final assessment. Table 2 shows the final sample assessed for both baseline and final with an almost 30% attrition rate between the two studies. Table 2 Sampling frame and actual sample

    Household (HH) Category Sampling Frame

    Baseline Sample

    Final Sample

    White Pea Bean Value Chain + Existing VSLA members 569 127 98 White Pea Bean Value Chain + New VSLA members 393 120 85 Honey Value Chain 190 126 76 Total 1152 373 259

  • 18

    The three categories are hereafter summarized in this report as “Old” (white pea bean + existing VSLA), “New” (white pea bean + newly established VSLA), and “honey” (honey value chain). A total of 82 focus group discussions were carried out over the course of the study. Participants were largely selected based on participation in the programs VSLA activities. The focus groups typically excluded participants involved in the household component although over time some contamination might be expected. Participation in the focus groups was voluntary and although no attempt was made to systematically quantify the actual number of participants, this ranged from a minimum of six people per discussion, to over thirty. Focus group participants included an unspecified number of participants from all three of the project’s value chains (honey, white pea beans, and cereals).

    2.2.2 Study  Locations   Although geographical sampling was not applied, the baseline assessment team visited 23 out of the 33 Peasant Associations (PAs) in Doba where the PSNP Plus is being implemented, covering all 23 PAs within the original sampling frame. In two of the PAs visited however, the selected households turned out to be living in other PAs, in one PA the selected households were non-PSNP, and in another PA none of the selected households actually belonged to the Value Chain in which they had been registered. During the final assessment the team was able to access participants in all but one of the PAs covered during the baseline. Table 3 provides a summary of the geographical coverage of the final impact assessment. Table 3: Final assessment coverage

    S/N Name of PA No of HHs (HH component) Methods

    Old VSLA New VSLA Honey HH Interview FGD 1 Bekelche Biftu 5 5 16 √ √ 2 Efa Haka 4 7 6 √ √ 3 Mede Bilisuma 4 0 0 √ √ 4 Efa Jeyna 0 4 0 √ √ 5 Urji 4 0 5 √ √ 6 Bilisuma 0 3 0 √ - 7 Efa Aman 7 15 5 √ √ 8 Terkanfata 2 2 11 √ √ 9 Lege Lencha 29 3 9 √ √ 10 Kufa Kas 5 3 0 √ - 11 Baha Adu 2 2 0 √ √ 12 Dekeba 0 0 0 - -* 13 Badhasa 3 0 2 √ -* 14 Lenche Wedesa 12 14 7 √ √ 15 Lubu Dekeb 0 5 0 √ √ 16 Tokuma Meta Lencha 0 8 2 √ √ 17 Oda Negeya 9 1 0 √ √ 18 Wejjin 6 7 5 √ √ 19 Weltane 6 6 8 √ √ Total 98 85 76

    * Unable to access participants

  • 19

    2.3 Data  Collection  Methods  

    2.3.1 Household  Interviews   The interviews for the household component were carried out by a team of four data collectors under the supervision of an assessment coordinator. These interviews were carried out on an individual basis using a standardized questionnaire that included a number of participatory exercises and some qualitative data. The assessment tools were field tested with non-assessment participants and refined shortly before the actual assessment began. The household questionnaire for the final assessment included the following themes: Table 4 Summary of household questionnaire themes and methods  

    Section/Theme Types of Information Collected (method) Sample 1 Household and

    Project Background Information

    • PSNP and PSNP Plus activities and participation • Household (HH) education levels • Recent livelihoods shocks experienced • HH PSNP graduation status • Factors contributing to PSNP graduation (simple ranking)

    N=259

    (N= 33) 2 Savings and

    Loan Information

    • Household HH VSLA participation and history • Recent HH savings history • Recent HH borrowing history and source of loans • Utilization of HH savings and loans

    N=259

    3 Asset Inventory

    • Current land holdings • Current livestock holdings • Livestock sales and mortality • Current levels of productive assets (tools) and HH items

    N=259

    4 Reasons for an overall increase in Assets

    • Scoring of factors contributing to an increase in livestock (proportional scoring using 100 counters)

    • Scoring of factors contributing to an increase in HH items & tools (proportional piling using 100 counters)

    N=126

    N=66

    5 Income Sources

    • Relative contribution of different income sources (proportional piling using 100 counters)

    • Perceived changes in actual income (proportional piling against a nominal baseline of 10 counters)

    • Scoring of factors contributing to an increase in income (proportional scoring using 50 counters)

    N=259

    6 Crop and Honey sales

    • White pea bean production and sales 2011 • Income utilization from white pea bean sales 2011 • Honey production and sales 2011 • Income utilization from honey sales 2011

    N=183

    N=76

    7 Expenditure • Actual expenditure on key items N=259 8 Income

    Changes • Perceived changes in actual income since 2008 (proportional

    piling using a nominal baseline of 10 counters) • Reasons for changes in actual income • Scoring of factors contributing to an increase in income

    (proportional scoring using 50 counters)

    N=259

    (N=175)

    9 Other benefits (outcomes)

    • Scoring of PSNP Plus programs anticipated outcomes (simple ranking and scoring)

    N=259

    See Annex II for the complete household questionnaire

  • 20

    2.3.2  Focus  Group  Methods   The focus group component of the final assessment used a mixture of qualitative, quantitative, and participatory data collection methods. These discussions were primarily used to collect descriptive contextual information on the PSNP Plus program and more general information on the project area. The focus groups were structured around a checklist, which included a set of standardized participatory exercises. These included (1) A SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis of the different program interventions being assessed (2) A scoring exercise comparing the project and non-project factors contributing to an overall increase in wealth (3) A matrix scoring of different financial service providers (4) A value chain ranking exercise (5) A credit preference ranking exercise.

    2.4 Data  Analysis   The household results were analyzed collectively with the baseline and mid-term results, and summarized using Statistical Packages for Social Sciences (SPSS version 19) Mean expenditure, honey and crop sales, savings and loan values and utilization and income utilization were calculated at ninety five percent confidence interval using SPSS, as was the data derived from scoring of project and non-project factors contributing to any assessed impact. For changes in assets a comparison of mean scores was calculated at ninety five percent confidence interval using SPSS. When available, results were compared with project monitoring data and other program reports.

  • 21

    3. RESULTS  

    3.1  Context  and  Background   Table 5: Recent Food Security and Livelihoods Interventions in Doba

    Year   Project/  key  component   Remark    2002   REVIVE:  

    • PSNP  (food  for  work)  • Free  food  for  elders  and  disabled  people  • Training  on  child  food  preparation  methods  • Introduction  and  establishment  of  VSLA  groups  

    7  years  project    

    2004   HIBRET  #  1  (Household  Income  Bearing  for  Transformation):  • PSNP  (food  for  work)  • Free  food  service  for  elders  and  disabled  people  • Training  on  child  food  preparation  method  • VSLA  groups  

    1  year  project  

    2005   HIBRET  #  2:  • Household  asset  building  • PSNP  (food  for  work)  • Free  food  service  for  elders  and  disabled  people  • Vegetables  promotion  via  irrigation  with  water  pump  • Training  on  child  food  preparation  method  • VSLA  groups  

    5  years  project  Cash  for  work  replaced  food  for  work  in  September  2009    

    2006   World  Bank  purchased  cattle  for  the  poorest  PSNP  HHs,  and  provided  these  on  credit  to  be  repaid  within  2-‐years    

    Implemented  by  the  government    

    2007   HIWOT  (Health  Initiative  Women  Owned  for  Transformation):  Training    

    3  years  project  

    2007     Cooperative  office  distributed  improved  haricot  and  white  pea  beans    (WPB)  in  Doba  and  Tulo  woredas’    

    Kenya  variety  (WPB)  

    2009   PSNP  plus  World  Bank  livestock  credit  fund:  • 2000  ETB  cash  credit  was  provided  per  household  for  farming  ox  purchase    • 1000  ETB  and  900  ETB  cash  credit  was  provided  per  household  for  the  purchase  

    of  heifers  and  goats  

    The  credit  was  given  to  the  poorest  PSNP  participants  to  be  repaid  with  87  ETB  interest  in  2-‐years  

    2009   PSNP-‐Plus:  (food  or  cash  for  work  component  being  implemented  under  HIBRET  #  2)  • Provision  of  improved  white  pea  beans,  sorghum  and  maize  seeds  for  PSNP  +  

    participants  on  credit  to  be  repaid  in  kind    • Local  government  distributed  wheat  seeds  on  credit  to  be  repaid  in  kind    • Provision  of  modern  beehives  for  PSNP  +  participants  on  a  credit  basis  • Skills  training  for  VSLAs  members  as  trainers  of  trainers  and  establishment  of  

    new  VSLA  groups  • Market  access  

       The  seed  credit  bears  a  30%  (3/10  kg)  in  kind  interest      Recipients  paid  130  ETB  per  hive      

    2009   PSNP/World  Bank  livestock  credit  fund:  • 2000  ETB  cash  credit  was  provided  per  household  for  farming  ox  purchase    • 1000  ETB  and  900  ETB  cash  credit  was  provided  per  household  for  heifer  and  

    production  goats  purchase  

    The  credit  was  given  to  the  poorest  PSNP  HHs,  to  be  repaid  with  87  ETB  interest  in  2-‐years  

     

  • 22

    Table 6 Time-line of PSNP and other related interventions in Doba

    Year   Project/  key  component   Remarks  2009  

    Jan-‐March  

    PSNP-‐Plus:  (cash  for  work  component  implemented  under  HIBRET  #  2)  • Training  Development  Agents  (DA)  in  WPB  &  Cereal  -‐Seed  Procurement  &  

    Pre-‐harvest  production  techniques  • The  local  government  distributed  wheat  seeds  on  credit  to  be  repaid  in  kind    • Honey  Inventory  Assessment  completed  • Skills  training  for  VSLAs  members  as  trainers  of  trainers  and  establishment  of  

    new  VSLA  groups  

               

    April-‐June  

    • Producer  Marketing  groups  organized    &  trained  for  WPB,  Honey  &  Cereal  Value  Chains  

    • Provision  of  improved  white  pea  beans,  sorghum  and  maize  seeds  variety  for  PSNP  +  HHs  on  credit  began  -‐  to  be  repaid  in  kind  

    The  seed  credit  bears  a  30%  (3/10  kg)  in  kind  interest  WPB  Planted  in  June  

    July-‐Sept   • Training  in  post  harvest  techniques  and  marketing  for  cereal  and  WPB  • Training  I  queen  rearing  and  production  of  transitional  beehives  for  Honey  

    value  chain  • Provision  of  modern  beehives  for  50  PSNP  +  HHs,  with  traditional  hives  on  

    credit  &  Beekeeping  accessories  provided  to  honey  producer  groups  

    Recipients  paid  130  ETB  per  hive    WPB  and  cereal  harvest  –erratic  rainfall  and  late  distribution/planting  of  seeds  resulting  in  poor  WPB  harvest  

    Oct-‐Dec   • Market  centers  identified  for  cereals  and  WPB  

    2010  Jan-‐March    

    • Training  DA’s  in  WPB  seed  production  • Cereal  seed  procurement  • Modern  beehive  procurement  and  distribution  (on-‐going)  • Honey  group  targeting,  organization  &  training  

     

    April-‐June  

    • Producer  Marketing  groups  for  crop  value  chains  organized  and  trained  • Honey  group  training  continues  • WPB  seed  distribution  early  June  • Modern  beehive  distribution  continues  

       WPB  planting  starts  in  June  continues  into  July  July-‐Sept   • 652  HHs  have  received  Modern  beehives  

    • Market  identification  for  WPB  carried  out  Oct-‐Dec   • Training/awareness  in  post  harvest  storage  and  licensing  for  WPB  traders  

    • Training  in  animal  health,  small  ruminant  (SR)  fattening  for  livestock  value  chain  

    • 400  HHs,  received  ETB  900  to  purchase  SR  for  fattening  =  (2-‐3  SR/HH)  • Business  skills  training  for  PSNP  +  HHs.  

    WPB  harvest  –  normal  rainfall    &  good  harvest  /Honey  harvest  (Oct/Nov)  reported  to  be  not  great  

    2011  Jan-‐March  

    • Remaining  98  HHs,  received  modern  beehives  • Refresher  training  in  modern  beekeeping  

     

    April-‐Nov   Program  exit  strategy  implementation  including:  • Colony  &  seed  multiplication  transfers  • Linkages  with  OCCSCO  and  identification  of  input  sources  • Training  and  planning  for  2011  production  season  

    Final  Impact  Assessment  April-‐May  

  • 23

    Table 7: Characteristics and background data on assessment participants

    Household (HH) Background and Participation Figures

    Old  2009  (n=127)  

    Old  2011  (n=98)  

    New  2009  (n=120)  

    New  2011  (n=85)  

    Honey  ’09  (n=126)  

    Honey  ‘11  (n=76)  

    Total  number  involved  in  VSLA   126  (99%)   97  (99%)   119  (99%)   83  (98%)   94  (75%)   73  (96%)  Total  number  involved  in  Honey  Value  Chain   3  (2%)   17  (17%)   2  (2%)   9  (11%)   97  (77%)   76  (100%)  Total  number  involved  in  Cereal  Value  Chain   91  (72%)   52  (53%)   74  (62%)   34  (40%)   90  (71%)   41  (54%)  Total  number  involved  in  White  Pea  Bean  Value  Chain   109  (86%)   98  (100%)   95  (80%)   85  (100%)   53  (42%)   48  (63%)  Highest  level  of  education  HH  head  (mean  grade)   2.3   2   1.8   1.4   3   3.2  Highest  level  of  education  other  HH  member  (mean)   6   5.7   5.3   5.6   6.9   7.2  Total  number  HHs,  graduated  from  the  PSNP   0   10  (10%)   0   11  (13%)   0   12  (16%)  Types  of  Shocks  Experienced  Rain  failure  “drought”   126  (99%)   52  (53%)   119  (99%)   50  (59%)   124  (98%)   56  (74%)  Crop  pests  or  disease   43  (34%)   47  (48%)   44  (37%)   59  (69%)   55  (44%)   58  (76%)  Livestock  disease/death   49  (36%)   35  (36%)   32  (27%)   29  (34%)   48  (38%)   29  (38%)  Illness  or  death  of  family  member   52  (41%)   33  (34%)   41  (34%)   35  (41%)   52  (41%)   40  (53%)  

    Table 8: Factors Contributing to PSNP Graduation

    Reasons  (reported)   Number  of  Households  Old   New   Honey  

    Forced  to  graduate   8   11   12  Absent  from  PSNP  work  activities   1   0   0  Improved  Food  Security/Livelihoods   1   0   0  

  • 24

    3.2  Income    

    3.2.1  Income  Sources   Figure 1: Changes in relative contributions of different income sources (Old)

    Figure 2: Changes in relative contributions of different income sources (New)

  • 25

    Figure 3: Changes in relative contributions of different income sources (Honey)

    Notes on Figures 1-3 Method: Proportional piling using 100 counters IGA = Income Generating Activities Figures 1-3 show changes in the relative importance of different income sources since the project started. Across all three samples (Old, New, Honey) there has been a significant increase in the contribution of income derived from white pea bean sales relative to all other income sources, which can be attributed to the white pea bean value chain activities implemented under the program and improved rainfall. The results also show a significant decrease in the income contribution from haricot bean sales, possibly being explained by participants shifting production to white pea beans due to the higher anticipated returns from this crop. The results also show a significant increase in the contribution of cereals for the old and new samples, and other cash crops for the honey sample. Again this can be partly attributed to improved rainfall conditions. The results also show a significant increase in the contribution of income from petty trade for the honey and new sample, this could be an indirect result of greater investments in petty trade activities facilitated through project derived savings and loans, in particular those derived from VSLA participation. The results also show a significant decrease in income contributions from livestock production and sales for both the honey and new sample, mostly likely due to livestock due mortality and stress sales associated with disease rain (and production) failure in 2009.

  • 26

    3.3  Expenditure   Figure 4: Expenditure on Key Items (Old)

    Figure 5: Expenditure on Key Items (New)

  • 27

    Figure 6: Expenditure on Key Items (Honey)

    Notes on Figures 4-6 Agric Inputs = Agricultural/farming inputs Land/HI = Land rent and or Home Improvement (construction/maintenance) Livestock = All livestock related expenses (includes animal purchases, vaccines/treatment, feed etc.) HH Items = Household Items Social Oblig. = Social Obligations (weddings/funerals/contributions etc.)

    Figures 4-6 show actual changes in annual investments or expenditure on key items since the project started. The results show that there has been a significant increase in investments in agricultural inputs and loan repayments across all three categories. This might partly be explained by an increase in investments in value chain inputs and improved access to microfinance as a result of the project. There has also been a significant increase in expenditure on clothes for the honey and new samples and in household items and social obligations for the old sample. Table 9: Total Expenditure Before and After

    Category   Mean  Expenditure  ETB  (95%  CI)  Old  2008  (n=127)   1,628.1  (1370.6,  1885.7)  Old  2011  (n=98)   2587.9  (2184.8,  2991.0)  New  2008  (n=120)   1,584.9  (1306.8,  1863.0)  New  2011  (n=85)   2572.7  (2123.4,  3022.0)  Honey  2008  (n=126)   2,202.1  (1864.8,  2539.5)  Honey  2011  (n=76)   3496.6  (2889.0,  41043.3)  

  • 28

    3.4  Credit  and  Savings   Figure 7: Savings & Loans Sources (2008 and 2011)

    Loan Sources 2008 Loan Sources 2011

    Notes: MFI = Microfinance Institute, VSLA = Village Saving and Loan Association

    51%

    0%

    49%

    Old n=127

    VSLA MFI Private/Local

    10% 3%

    87%

    Old n=98

    VSLA MFI Private/Local

    50%

    0%

    50%

    New n=120

    VSLA MFI Private/Local

    13%

    12%

    75%

    New n=85

    VSLA MFI Private/Local

    16% 2%

    82%

    Honey n=126

    VSLA MFI Private/Local

    14%

    14% 72%

    Honey n=76

    VSLA MFI Private/Local

  • 29

    Table 10 Matrix scoring of microfinance service providers

    Indicators

    Average Score (Female n= 15 groups)

    Average Score (Male n=15 groups)

    VSLA Iqqub2 MFI Other VSLA Iqqub MFI Other

    "'Easy to access credit" (timely & available) 25 0 11 4 26 0 11 3

    "Benefits the poor most" 20 9 10 2 20 9 9 2

    "Benefits women most" 20 10 9 1 21 10 8 1

    "Helps us cope with drought and other shocks" 14 7 18 1 13 7 19 1 "Loan amount is sufficient to invest in IGA" 15 0 23 2 13 0 25 2 "Interest rates are reasonable" 15 0 23 2 13 0 26 1

    "Socially & culturally accepted" 14 18 5 3 14 18 5 3

    “Helps us accumulate assets" 13 8 18 1 13 7 19 1 "Overall Preference" 17 6 15 2 17 6 15 2

    Method: Matrix scoring using 40 counters Table 11: Value of savings and loans by source

    Value of savings and loans by source 2010-2011 Mean Value

    (95% CI) Lower Upper

    Old n=98

    Savings 212.4 87.5 337.4 VSLA Interest 96.6 69.4 123.7 VSLA loan 183.4 131.9 235.0 MFI loan 70.9 6.6 135.2 Other/Private loan 18.9 4.0 33.7 Total 582.2 430.3 734.2

    New n=85

    Savings 150.6 120.2 181.0 VSLA Interest 158.6 115.0 202.2 VSLA loan 174.5 134.2 214.8 MFI loan 123.5 18.4 228.7 Other/Private loan 118.2 32.2 204.1 Total 725.4 587.7 863.1

    Honey n=76

    Savings 142.4 105.8 179.1 VSLA Interest 109.0 72.0 146.0 VSLA loan 142.9 97.4 188.4 MFI loan 120.3 33.9 206.8 Other/Private loan 123.7 47.5 199.9 Total 638.3 509.1 767.5

    2 Loans are not typically given out by Iqqub explaining why some indicators scored zero

  • 30

    Figure 8: Utilization of savings and credit

    Notes on Figures 8-9 P.Trade/IGA = Petty Trade/Income Generating Activities Land/HI = Land rent/Home Improvement Agric Inputs = farming Inputs Social Oblig = Social Obligations Livestock = Animal Purchases only

    0.0 50.0 100.0 150.0 200.0 250.0 300.0

    Livestock

    P.Trade/IGA

    Food

    Education

    Land/HI

    Health

    Agric Inputs

    Clothes

    Social Oblig.

    Loans/debts

    Other

    Transport

    Mean Expenditure ETB

    Savings & Loan Utilization 2010-2011

    Old n=98

    New n=85

    Honey n=76

  • 31

    Figure 9 Comparison of loan utilization and total expenditure on key items (WPB)

    0.0 100.0 200.0 300.0 400.0 500.0 600.0

    Livestock Education

    Land/HI Health

    Agric Inputs Clothes

    Social Oblig. Loans/debts

    Old n=98 Loan Total

    0.0 100.0 200.0 300.0 400.0 500.0 600.0 700.0

    Livestock

    Education

    Land/HI

    Health

    Agric Inputs

    Clothes

    Social Oblig.

    Loans/debts

    New n=85 Loan Total

  • 32

    Figure 10 Comparison of loan utilization and total expenditure on key items (Honey)

    Notes on Figures 9-10 Social Oblig. = Social Obligations (weddings/funerals/contributions) Agric Inputs = Farming Inputs (seeds/fertilizer etc.) Land/HI= Land Rent/Home Improvement Livestock = Animal Purchases only

                         3.5  Asset  Levels  and  Changes  

    3.5.1  Land  Holdings  

    Table 12: Changes in land holdings

    Sample Mean Land Holdings ‘kindi’ (95% CI) 2008 2009 2011

    Old 3.4 (3.1, 3.7) 3.3 (3.0, 3.6) 3.3 (3.0, 3.6) New 4.0 (3.6, 4.4) 3.9 (3.5, 4.3) 3.5 (3.2, 3.8) Honey 4.1 (3.8, 4.5) 3.9 (3.6, 4.3) 3.3 (2.9, 3.6)

    Sample Size Old 127 98 New 120 85 Honey 126 76 8 kindi = 1 hectare

    0.0 100.0 200.0 300.0 400.0 500.0 600.0 700.0 800.0 900.0

    Livestock Education

    Land/HI Health

    Agric Inputs Clothes

    Social Oblig. Loans/debts

    Honey n=76 Loan Total

  • 33

    3.5.2  Livestock  holdings  

    Figure 11: Changes in livestock holdings (Old)

    Figure 12: Changes in livestock holdings (New)

  • 34

    Figure 13: Changes in livestock holdings (Honey)

    Figures 11-13 show changes in actual livestock holdings since the project started. The results show a significant decrease in oxen for the honey sample, cows for the old sample, and goats for the new sample. This can largely be attributed to non-project related factors such as high livestock mortality and stress sales of livestock in 2009. Table 13: Livestock sales and mortality 2010-2011

    Old n=98 New n=85 Honey n=76

    Cattle Sm. Ruminants

    Cattle Sm. Ruminants

    Cattle Sm. Ruminants

    Normal Sale/Investment 41 46 21 21 27 40 Stress Sale 17 22 14 37 24 36 Died 19 19 22 17 16 4

    Notes: Figures represent total number of animals/sample group; Sm. Ruminants = Sheep and Goats

  • 35

    3.5.3  Productive  Assets/Tools   Figure 14: Changes in productive assets (Old)

    Figure 15: Changes in productive assets (New)

  • 36

    Figure 16: Changes in productive assets (Honey)

    3.5.4  Household  Items   Figure 17: Changes in household items (Old)

  • 37

    Figure 18: Changes in household items (New)

    Figure 19: Changes in household items (Honey)

  • 38

     

    3.6  Changes  in  Household  Food  Security   Table 14 Food Security Calendar (n=15 groups)

    Time frame

    Average Score Score/60 Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov

    Before PSNP

    28

    2008 – 2009

    16

    2009 – 2010

    30

    Data derived using average scores from proportional piling exercises with five counters per month (5 counters =Very Food Secure 0 counters =Food Insecure)

    Table 15 Factors contributing to improvements in food security

    Reason Overall Rank (n=15 groups) PSNP 1st Improved rainfall 2nd Petty trade 3rd Improved seeds (including white pea beans) 4th Improved fertilizer 5th Vegetable production 6th Other 7th

     

  • 39

     

    3.7  Value  Chain  Production  and  Sales     Table 16 White pea bean sales

    White  Pea  Bean  Sales  (2010  Harvest)   Mean  Values Old  n=98 New  n=85

    Produced  (Kg) 61.8 66.6 Sold  (Kg) 27.6 28.0 Income  (ETB) 139.6 141.6 Figure 20: Changes in white pea bean sales 2008-2010

    Notes: Erratic rainfall and late distribution of seeds in 2009 resulted in a poor white bean harvest that year

  • 40

    Figure 21: Utilization of income from white pea bean sales (2010 Harvest)

    Notes: Livestock = Animal Purchases Table 17: Honey sales

    Honey  sales  2011  HVC  n=76 Mean  Values  Produced  (Kg) 8.9  Sold  (Kg) 6.5  Income  (ETB) 268.0

    Figure 22: Changes in honey sales 2008-2010

    Notes: - Lower honey

    production in 2009 can partly be attributed to production losses associated with transitioning from traditional to modern beehives

    0.0   10.0   20.0   30.0   40.0   50.0   60.0   70.0   80.0  

    Educadon  

    Clothes  

    Food  

    Loans/debts  

    Livestock  

    Land/HI  

    Social  Obligadons  

    Agric  Inputs  

    Health  

    Peey  trade/IGA  

    Other  

    Mean  Expenditure  (ETB)  

    Income  Udlizadon  from  White  Pea  Bean  Sales  

    Old  n=98  

    New  n=85  

  • 41

    Figure 23: Utilization of income from honey sales (2010 harvest)

    Notes: Livestock = Animal Purchases

    0.0   10.0   20.0   30.0   40.0   50.0   60.0   70.0   80.0   90.0  

    Educadon  

    Food  

    Loans/debts  

    Clothes  

    Livestock  

    Agric.  Inputs  

    Land  /HI  

    Peey  Trade/IGA  

    Social  Obligadons  

    Other  

    Mean  Expenditure  (ETB)  

    Income  Udlizadon  from  Honey  Sales    

    Honey  n=76  

  • 42

    3.8  Scoring  of  Project  Benefits  

    Figure 24: Factors contributing to an increase in livestock holdings (WPB)

    Figure 25: Factors contributing to an increase in livestock holdings (Honey)

  • 43

    Figure 26: Factors contributing to an increase in ‘other’ assets (WPB)

    Figure 27: Factors contributing to an increase in ‘other’ assets (Honey)

  • 44

    Table 18: Factors contributing to an increase in income

    Mean Score (95% CI) Factor Old n=66 New n=56 Honey n=53 Other Reason 20.5 (18.4, 22.7) 21.4 (19.2, 23.6) 19.2 (16.8, 21.6) PSNP 12.2 (10.3, 14.1) 14.2 (12.1, 16.2) 12.7 (10.4, 15.0) VSLA 11.0 (9.2, 12.7) 11.1 (9.9, 12.3) 11.5 (9.3, 13.8) WPB/Honey Value Chain 6.3 (4.4, 8.1) 3.3 (1.9, 4.7) 6.5 (4.2, 8.6) Table 19: Scoring of other project outcomes (WPB participants)

    PSNP Plus Benefit Type Score

    Old n=98 New n=85 1 Improved our resilience to drought or other livelihood shocks 227 205 2 Improved our relationship with neighbors and other community members 220 192 3 Improved our knowledge of savings and finances 219 190 4 Improved our business skills 217 190 5 Improved our financial decision making in the household 197 179 6 Enabled us to accumulate assets 193 181 7 Increased our savings 204 166 8 Helped us cope with the drought in 2009 191 174 9 Enabled us to protect our assets 190 169

    10 Improved our status in the community 187 167 11 Contributed to household food security 176 150 12 Improved our relationship with traders and or the private sector 168 151 13 Helped us recover from the drought 167 145 14 Improved our access to credit 153 139 15 Improved our skills/knowledge on WPB production 155 135 16 Improved our access to inputs for WPB production 141 114 17 Improved the quality of WPB produced 129 103 18 Increased the quantity of WPB produced 120 99 19 Increased our income from WPB sales 104 75

    Method: Simple ranking or scoring between zero to three (total score)

  • 45

    Table 20: Scoring of other project outcomes (Honey participants)

    PSNP Plus Benefit Type (Honey n=76) Score 1 Improved our resilience to drought or other livelihood shocks 196 2 Improved our relationship with neighbors and other community members 185 3 Enabled us to accumulate assets 178 4 Improved our knowledge of savings and finances 175 5 Improved our skills/knowledge on honey production 171 6 Improved our financial decision making in the household 169 7 Improved our business skills 165 8 Improved our status in the community 164 9 Enabled us to protect our assets 163

    10 Improved our access to inputs for honey production 161 11 Helped us cope with the drought in 2009 159 12 Increased our savings 158 13 Improved our relationship with traders and or the private sector 152 14 Contributed to household food security 142 15 Improved our access to credit 140 16 Helped us recover from the drought 134 17 Improved the quality of honey produced 120 18 Increased the quantity of honey produced 117 19 Increased our income from honey sales 105

    Method: Simple ranking or scoring between zero to three (total score)

  • 46

    3.9  Strengths  and  Weaknesses  of  Program  Interventions   Table 21 SWOT analysis of Village Saving and Loan Associations

    Strengths § Improved savings culture § Easy access to credit (timely & available) in

    comparison to other sources of credit § VSLA is the major credit source for poor

    households § Training on business literacy facilitated

    households becoming involved in income generating activities

    § Contributes to household income § VSLA helped us protect our assets and cope with

    the drought in 2009 § The availability of loans encourages members to

    diversify their livelihood § Loans help provide alternative sources of income

    such as petty trade and livestock trading § The VSLA’s improve social cohesion and

    relationships between members § Provide insurance against shocks and

    unforeseen expenses

    Weaknesses § Savings shared out at the end of the cycle are not

    enough to engage in income generating activities § Loan amounts are too small to engage in most

    business activities § Limited business opportunities available (partly due

    to small loan amount, partly due to context) § Shortage of capital to run private or collective

    business endeavor. § Due to price inflation, loans obtained from VSLA

    are insufficient to effectively engage in petty trade, small ruminant trading etc.

    Opportunities § VSLA can continue to contribute to improved

    agricultural productivity by helping members purchase inputs such as fertilizer and seeds

    § Opportunities exist for collective investments rather than sharing out the savings at the end of each cycle (this alternative approach was practiced by a few of the groups assessed)

    § More business skills training/development could benefit members

    § OCSSCO is starting to show greater interest in investing in VSLA members’ as a result of their improved business skills and financial literacy

    Threats § Drought such as that experienced in 2009, erratic

    rainfall and crop pests minimize people’s ability to save thereby reducing the availability of capital for loans

    § Some of the poorest members have difficulty making regular contributions

    § Some members are reluctant to take out loans due to the risks involved in investing in business activities

    § MFI’s have a competitive advantage over VSLA’s in terms of loan size and interest rates

    § Competition for limited business opportunities (such as petty trading) between members and villages

    Summary of findings from 15 focus groups

  • 47

    Table 22 SWOT analysis of the White Pea Bean Value Chain

    Strengths

    • White Pea Beans (WPB) fetch a better

    market price that other varieties of haricot bean

    • Potential to contribute to households income • WPB are relatively drought tolerant in

    comparison to other varieties of haricot bean • WPB are nutritionally better than other

    varieties • Good training provided on production, post

    harvest management, marketing and business literacy

    Weaknesses/Challenges • Late supply of WPB seeds in certain PA’s resulted in

    late planting and low yields • Rain-failure in 2009 resulted in little to no WPB harvest

    that year • The WPB color, shape and size are less attractive to

    traders than the locally grown Kenya variety. • There is not enough land available to grow WPB

    separately. They are therefore intercropped with maize or sorghum and other haricot beans making sorting/quality control challenging

    • Drought/rain-failure in 2009 resulted in low yields

    Opportunities • WPB can improve soil fertility • WPB mature early in the season which can

    help improve food security by providing much needed income during this lean period

    • High demand for WPB in the area • Good Government support for production of

    this crop

    Threats § Frequent occurrence of drought and rain-failure in the

    area (such as 2009) § The occurrence of hail during flowering periods was

    one reason for a reduced WPB yield in Bekelcha Biftu § Unlike cereals, WPB is pest sensitive. Thus, erratic

    rainfall and pests in 2010 reduced the yield of WPB in most of the PA’s

    § Unusual rains during harvesting period can (and have) affected the quality of WPB produced

    Summary of findings from 15 groups

  • 48

    Table 23 SWOT analysis of the Honey Value Chain

    Strengths • Beekeeping provides an alternative livelihood option –

    particularly for households without land • Quality training and skills development in beekeeping has

    enabled participants to move smoothly from traditional to modern beekeeping

    • The project introduced sustainable use of natural resources (forest) through establishing group beekeeping in the controlled natural resource rehabilitation areas

    • Queen rearing and transitional beehive making techniques were introduced and expanded – helping to increase the number of bee colonies and overall honey yield in the region

    • Trained beekeepers are now training other beekeepers in the area

    Weaknesses/Challenges • Late transfer of the hives and ot