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Income Level of Fadama III Beneficiaries in Delta State as at Project Closure in December 2013

Authors:
  • Dennis Osadebay University, Anwai Asaba Delta State

Abstract and Figures

As the Fadama III project intervention ends by December 2013 in Delta state, it became necessary to conduct a follow up study on the income level of Fadama III beneficiaries after the project midterm review (MTR). Ten Fadama III beneficiary households as well as ten non-beneficiary households were sampled from twelve participating local government areas in the state. This gave a total of 240 respondents composed of 120 beneficiaries and 120 non-beneficiaries. Data for the study were collected by the use of structured questionnaire. They were analysed using the Difference in Difference (DD) analytical tool to compare change in outcome of program for beneficiaries and non beneficiaries. Findings revealed that the current average level of income of participants of Fadama III project as at project closure in December 2013 is N106,829.75. This represents an income increase of N44,349.75 or 70.98% from the baseline income of N62,480.00 of Fadama III beneficiaries. On the other hand, the average income of Fadama III non beneficiaries grew to N85,997.22 from a baseline income of N63,572.00. This represents an increase of about 35.28%. 82.5% of the participants were able to generate an average income of N106,829.75, thus achieving an increase of 70.98% in income from participation in Fadama III project. This increase has surpassed the target of 75% of Fadama User households increasing their average real income by at least 40% by 2013 as set by the World Bank. Hence, it can be concluded that the project intervention in the State has impacted positively on the income of small scale farmers – both direct project beneficiaries and non project beneficiaries.
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International Journal of Economics and Finance; Vol. 6, No. 7; 2014
ISSN 1916-971X E-ISSN 1916-9728
Published by Canadian Center of Science and Education
176
Income Level of Fadama III Beneficiaries in Delta State as at Project
Closure in December 2013
Pius Chinwuba Ike1
1 Department of Agricultural Economics and Extension, Delta state university, Asaba Campus, Nigeria
Correspondence: Pius Chinwuba Ike, Department of Agricultural Economics and Extension, Delta state
university, Asaba Campus, Nigeria. Tel: 80-35-061-273. E-mail: ikepeecee@yahoo.com
Received: February 27, 2014 Accepted: March 25, 2014 Online Published: June 25, 2014
doi:10.5539/ijef.v6n7p176 URL: http://dx.doi.org/10.5539/ijef.v6n7p176
Abstract
As the Fadama III project intervention ends by December 2013 in Delta state, it became necessary to conduct a
follow up study on the income level of Fadama III beneficiaries after the project midterm review (MTR). Ten
Fadama III beneficiary households as well as ten non-beneficiary households were sampled from twelve
participating local government areas in the state. This gave a total of 240 respondents composed of 120
beneficiaries and 120 non-beneficiaries. Data for the study were collected by the use of structured questionnaire.
They were analysed using the Difference in Difference (DD) analytical tool to compare change in outcome of
program for beneficiaries and non beneficiaries. Findings revealed that the current average level of income of
participants of Fadama III project as at project closure in December 2013 is N106,829.75. This represents an
income increase of N44,349.75 or 70.98% from the baseline income of N62,480.00 of Fadama III beneficiaries.
On the other hand, the average income of Fadama III non beneficiaries grew to N85,997.22 from a baseline
income of N63,572.00. This represents an increase of about 35.28%. 82.5% of the participants were able to
generate an average income of N106,829.75, thus achieving an increase of 70.98% in income from participation
in Fadama III project. This increase has surpassed the target of 75% of Fadama User households increasing their
average real income by at least 40% by 2013 as set by the World Bank. Hence, it can be concluded that the
project intervention in the State has impacted positively on the income of small scale farmers – both direct
project beneficiaries and non project beneficiaries.
Keywords: Fadama III, beneficiaries, difference in difference (DD), income level
1. Introduction
Nigeria’s rural economy till date is driven by agriculture. Until the early 1960s when Nigeria first discovered oil,
popularly called the ‘Black gold’ at Oloibiri, agriculture was the mainstay of the overall economy and accounted
for over 60% of global exports of palm oil, 30% of groundnut, and 15% of cocoa. However, NBS (2008)
estimate show that the petroleum sector now generates about 95% of Nigeria’s external earnings as against
agriculture which contributes less than 5%. Like in many rich and poor countries, the issue of poverty and
well-being has been of great concern. As a result, poverty reduction strategy processes (PRSP) have been at the
centre-stage of development programs. Nigeria’s government is more eager than ever to move its populace out of
poverty while the rich nations are increasingly aware of the need to promote security through poverty reduction
(NBS, 2004).
Nigeria governments (Federal, State and Local) over the years have been fighting poverty through the pursuit of
policies/programmes that improves the productivity and income potentials of rural dwellers. In line with this, the
Nigerian government has in collaboration with the World Bank established the Fadama projects, of which Delta
State is participating in Fadama III. The Third National Fadama Development Project (NFDP-III) project is a
nationally implemented World Bank assisted agricultural intervention project aimed at improving livelihood and
incomes of rural users of land & water resources on a sustainable basis. The target beneficiaries in Delta state are
Fadama User Groups engaged in farm and non-farm activities domiciled in 200 communities, where 59,429 group
members are expected to be directly impacted upon (DSFCO, 2013).
The principal goal of the project which is to sustainably increase the income of beneficiaries is being achieved
through financing investment in productive assets and community infrastructure; strengthening the capacities of
States and Local Government to deliver efficient services and also promoting socially-inclusive and
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177
environmentally sustainable management of natural resources. The project design provides for statutory six
monthly Joint World Bank/FGN supervision Missions to assess project implementation progress. It also provides
for thematic missions, unscheduled spot checks and back stopping by the various levels of supervision (World
Bank, FGN, NFCO and Zonal Coordination office).
The Delta State Fadama Coordination Office has the responsibility of implementing the project in the State along
the project’s six (6) main components namely; Capacity Building Information and Communication Support,
Small Scale Community Infrastructure, Advisory services and input Support, Support to ADP and Adaptive
Research and On-Farm Demonstration, Productive Asset Acquisition for individual FUGs, Project Management,
Monitoring and Evaluation.
The report of the midterm review (MTR) conducted on household income generation, progression and
sustainability under Fadama III implementation in Delta Sate in September 2011, revealed that there was a 36.67%
increase in the real income of Fadama III participants due to their participation in the project (DSFCO, 2011).
This figure then was against the target of 40% increase in real income of programme participants as set by the
World Bank. The study attributed the shortfall in the performance to the fact that most of the projects then had
not run a full cycle. As the Fadama III project ends by December 2013, it becomes necessary to conduct a follow
up study on the income level of Fadama III beneficiaries in Delta state as at project closure in December 2013,
hence this study.
The objective of this study is therefore to estimate the average income of the Fadama III participants as at project
end as well as determine the proportion of the participants that attained this estimated income level. It also
ascertained the level and rate of increase in real income of beneficiaries from midterm to project end.
2. Methodology
2.1 Area of Study
This study was carried out in Delta state which is one of the 36 states of Nigeria. The state is one of the nine
states of Nigeria’s Niger Delta region known for their crude oil production. It has a population of 4.1 million
(NPC, 2006). The state lies between longitude 5000’ and 6045’ East and Latitude 5000’ and 6030’ North. It has
boundaries with Edo State on the north and Anambra State on the east as well as Bayelsa State on the south east.
The State is a coastline State covering about 160 kilometers.
2.2 Sample Selection and Data Analysis
Out of the 25 local government areas (LGAs) in the Delta State, 20 LGAs participated in the Fadama III project.
The 20 participating LGAs are Warri North, Patani, Isoko North, Isoko South, Ughelli South, Ughelli North,
Ethiope West, Uvwie, Aniocha South, Aniocha North, Ukwuani, Ndokwa West, Ndokwa East, Okpe. Sapele, Ika
South, Ika North East, Ethiope East, Oshimili North and Oshimili South.
Four local government areas were randomly sampled from each of the three agricultural zones of the state. This
gave twelve local government areas. Ten Fadama III beneficiary households as well as ten Fadama III
non-beneficiary households were sampled from each of the twelve local government areas. This gave a total of
240 respondents composed of 120 beneficiaries of Fadama III project and 120 non-beneficiaries.
Trained enumerators were used to collect data from the sampled respondents through the use of structured
questionnaire. The Difference in Difference (DD) analytical tool was used to analyse the data generated. The
analytical tool helped in estimating and comparing the change that had occurred in the outcome of participants
and non-participants before and after the programme intervention.
2.3 Conceptual and Analytical Framework
2.3.1 Difference in Difference (Double Difference) Estimator
The difference in difference (or "double difference") estimator is defined as the difference in average outcome in
the treatment group before and after treatment minus the difference in average outcome in the control group
before and after treatment; it is literally a "difference of differences." This is double difference of the Ordinary
Least Regression (OLS) Analysis in which income is the explanatory variable. The use of Difference in
Difference (Double Difference) estimator which is also called the DD method was necessary because a
cross-sectional comparison of changes in income of Fadama III beneficiaries and non beneficiaries cannot
completely attribute the differences to programme intervention. This is why this study adopted a
quasi-experimental method known as Double Difference (DD) method. This tool helped in assessing clearly the
impact of Fadama III on the income of participants.
The DD method is a quasi-experimental tool that involves the selection of programme participants and non
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178
participants who have similar observable characteristics from the same location (Baker, 2000; Chen et al., 2006;
Nkonya et al., 2008; Ike, 2012; Simonyan & Omolehin, 2012, Ike, 2013). The tool quantitatively estimates and
compares change in outcome of the beneficiaries and non beneficiaries before and after programme intervention
(Chen et al., 2006). The use of this estimator has the advantage of netting out the effects of additive factors that
have fixed (time-invariant) impacts on income indicator, or that reflect common trends affecting project
beneficiaries and non-beneficiaries equally such as changes in prices (Ravallion, 2005). Verner and Verner (2006)
concluded that a positive and significant income difference value estimated with the use of the DD method
implied project intervention impact on beneficiary otherwise no impact.
To enable the use of this tool in this study, information was gathered before and after the programme on both
participants and non-participants. Data on the baseline income level of Fadama III participants were available at
the Delta State Fadama III Coordinating Office while that of the non participants were obtained through memory
recall.
The Double Difference Estimation model has the formula as:


n
j
jbja
m
t
ibia YYYY nm
DD
1
00
1
11
11
Where
DD = Income difference between the groups;
M = number of beneficiaries;
N = number of non beneficiaries;
Y1ia = Income of beneficiaries after the program;
Y1ib = Income of beneficiaries before the program;
Y0ja = Income of non beneficiaries after the program;
Y0jb = Income of non beneficiaries before the program;
Paired student t-test was used to test the level of significance of the income difference.
3. Results and Discussion
3.1 Income Level of Respondent’ Enterprise Engagements
The enterprise activities of the sampled respondent households were crop farming, livestock farming,
Agroforestry, vulnerable groups, Agro processing as well as Fishing. The crop farmers sampled are those of
cassava, yam and vegetable farmers while that of livestock were poultry and pig farmers. Agroforestry
practitioners comprised bee keepers and snail farmers while in the vulnerable groups, cassava processors and
rental service providers were sampled. Palm oil processing was identified for agro processing while Artisanal
and aquaculture fishing were the components of the fisheries group (Table 1).
Table 1. Distribution of respondents by enterprise groups for beneficiaries and non beneficiaries
Enterprise Fadama III Participants Non Participants
Frequency Percentage Frequency Percentage
Crop Farmers:
Cassava farmers 9 7.5 12 10.0
Yam farmers 7 5.8 7 5.8
Vegetable farmers 9 7.5 11 9.2
Livestock Farmers:
Pig farmers 5 4.2 4 3.3
Poultry farmers 19 15.8 12 10.0
Agroforestry:
Snail farming 5 4.2 1 0.8
Bee keeping 6 5.0 7 5.8
Vulnerable Groups:
Rentals 14 11.7 17 14.2
Cassava processing 10 8.3 14 11.7
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Agro processing:
Palm oil processing 5 4.2 7 5.8
Fisheries: (Artisanal & Aqu)
Tot a l
31
120
25.8
100.0
28
120
23.3
100.0
Entries in the table show that 20.8% and 25% of the sampled Fadama III participants and non Fadama III
participants were crop farmers. Also 20% and 13.3% Fadama III participants and non Fadama III participants
were engaged in livestock farming. Snail farming and bee keeping constituted the agroforestry component with
9.2% as participants and 6.6% as the non participants.
The enterprise engagements of the vulnerable groups constituted about 20% of the respondents participating in
the programme. The dominant enterprise among the vulnerable group was rental services which constituted 11.7%
of the entire sampled participants and 14.2% of non participants. More than 90% of the respondents sampled as
vulnerable groups were women. Artisanal/capture fisheries as well as aquaculture comprising concrete and
earthen ponds constitute the fishery based enterprises and they make up about 25.8% of the sampled participant
enterprises.
Findings reveal that the current average level of income of participants of Fadama III project as at project closure
in December 2013 is N106,829.75 (Table 2).
Table 2. Distribution of Fadama III enterprise groups and non Fadama III enterprise groups according to income
level as at Project Closure (December 2013)
Fadama III Beneficiaries Non Fadama III Beneficiaries
Enterprise Category (FUG) Income Level
(N)
Av. In c o me b y
ent. Group
Income Level
(N)
Avg. Income Level
by ent. group
Crop Farmers:
Cassava farmers 76,450.00 66,700.00
Yam farmers 78,960.00 81,000.00
Vegetable farmers 54,500.00 42,900.00
69,970.00 63,533.33
Livestock Farmers:
Pig farmers 114,560.00 92,700.00
Poultry farmers 172,885.00 105,790.00
143,722.50 99,245.00
Agroforestry:
Snail farming 41,850.00 11,560
Bee keeping 52,432.00 25,400
47,141.00 18,480.00
Vulnerable Groups:
Rentals 40,400.00 30,750.00
Cassava processing 50,290.00 26,100.00
45,345.00 28,425.00
Agro processing:
Palm oil processing 184,600.00 134,600.00 121.070.00 120,000.00
Fisheries: (Artisanal & Aquaculture) 200,200.00 200,200.00 186,300.00 186,300.00
This represents an income increase of N44,349.75 or 70.98% from the baseline income of N62,480.00 of
Fadama III beneficiaries. As it is with the Double Difference estimator, when the estimated value of income
difference is positive and significant, it implied that there was an impact of the project intervention. Hence, this
change in income is attributed to the household participation in Fadama III project. This increase in income has
surpassed the 40% target set by the World Bank for Fadama User households.
On the other hand, the average income of Fadama III non beneficiaries grew to N85,997.22 from a baseline
income of N63,572.00. This represents an increase of about 35.28%. The improved increase in the real income of
the project participants from 11.6% during the midterm project review to 35.28% at project closure could be the
as a result of spillover effects of project implementation on the whole communities.
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3.2 Proportion of Fadama User Households that Attained the Increase in level of Income
A further analysis revealed that 82.5% of Fadama III user households were able to generate an average income of
N106,829.75. Hence, 82.5% of the respondents have been able to achieve an increase of 70.98% in income
(Table 3). The increase in income of 82.5% of direct project beneficiaries by 70.98% has surpassed the target of
75% of Fadama User households increasing their average real income by at least 40% by 2013 as set by the
World Bank. Hence, it can be concluded that there has been a positive impact of the programme intervention in
the state, particularly on the income of small scale farmers–both direct project beneficiaries and non project
beneficiaries.
Table 3. Achievement of target Increase in Income among fadama III beneficiaries
Treatment Type % Change in Income at Project End
24% and bellow 25-50% Above 50%
Fadama III Beneficiaries 4.5 13.0 82.5
Non Fadama III Beneficiaries 26.3 68.5 5.2
3.3 Level and Rate of Increase in Income of Beneficiaries from Midterm to Project End
At midterm of Fadama III project, the average level of income of the participants was found to be N85,391.42
(DSFCO,2012). Between the project midterm at September 2011 to project closure at December 2013, the
average income level has increased to N106,829.75. This implies an increase of N21,438.33 or 25.11% from
midterm till project end. This noticeable increase in income between project midterm to closure could be
attributed to the following: improved efficiency in the use of resources for production by Fadama users, timely
provision of inputs to the participants by the project managers, increased rate of adoption of improved rate of
adoption of Technology by the project beneficiaries amongst others.
4. Summary and Conclusions
The study estimated the income level of Fadama III beneficiaries in Delta state as at project closure in December
2013. It specifically determined average real of the beneficiaries in line with their enterprise engagements, the
proportion of Fadama user households that attained the income level and determined the level and rate of
increase of income of beneficiaries from midterm to project end. From each of the three agricultural zones of the
state, four LGAs were randomly sampled. This gave twelve local government areas. Ten Fadama III beneficiary
households as well as ten non-beneficiary households were sampled from each of the twelve local government
areas. This gave a total of 240 respondents composed of 120 project participants 120 non participants. Data were
collected by use of structured questionnaire and analysed using the Difference in Difference (DD) estimator.
Findings reveal that the average level of income of participants of Fadama III project as at project closure in
December 2013 is N106,829.75. This represents an income increase of N44,349.75 or 70.98% from the baseline
income of N62,480.00 of Fadama III beneficiaries. On the other hand, the average income of Fadama III non
beneficiaries grew to N85,997.22 from a baseline income of N63,572.00. This represents an increase of about
35.28%.
82.5% of the Fadama III user households were able to generate an average income of N106,829.75 and thus were
able to achieve an increase of 70.98% in income from participation in Fadama III project. This increase in
income of 82.5% of direct project beneficiaries by 70.98% has surpassed the target of 75% of Fadama User
households increasing their average real income by at least 40% by 2013 as set by the World Bank. Hence, it can
be concluded that there has been a positive impact of the Fadama III project intervention in the state on the
income of small scale farmers–both direct project beneficiaries and non project beneficiaries. At midterm review
(MTR) of Fadama III project, the average level of income of the participants was found to be N85,391.42
(DSFCO,2012). Between the project midterm at September 2011 to project closure at December 2013, the
average income level has increased to N106,829.75. This implies an increase of N21,438.33 or 25.11% from
midterm till project end.
It is recommended that that Delta State Government should endevour to sustain the gains made by Fadama III
project in reducing poverty in the State by using the ADP extension staff for continuation of the job that will be
left after project closure.
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... erence between the respondents p = Number of treated group (benefi ciaries) c = Number of individual control group (non-benefi ciaries) Y 1ia = Income of benefi ciaries after the programme Y 1jb = Income of benefi ciaries before the programme Y 0ia = Income of non-benefi ciaries after the programme Y ojb = Income of non-benefi ciaries before the programme The advantage of the DD estimator is that it nets out the eff ects of any additive factors (whether observable or unobservable) that have fi xed impacts on the outcome indicator (such as the income of the farmers), or that refl ect common trends aff ecting project participants and non-participants equally such as changes in prices or weather (Ravallion, 2008;Phillip et al., 2009); hence the adoption of this method for this study. In using the DD method, a positive and signifi cant income diff erence in income value implies a positive impact of the intervention on the benfi ciaries, otherwise no impact (Verner and Verner, 2005;Ike, 2014). Table 1 shows the socio-economic characteristics of the respondents. ...
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Globally, governments initiate various programmes to address income poverty among rural farmers. However, studies that focus on the impact of such programmes on farm- ers' income are either scanty or non-existent, especially in developing countries, including Nigeria. Therefore, this study examines the impact of Community-Based Agriculture and Rural Development Project (CBARDP) in Kwara State, Ni- geria. Data were obtained from 120 respondents comprising 60 benefi ciaries and 60 non-benefi ciaries of the programme. Descriptive statistics and double-diff erence estimator were used for the data analysis. The study showed that there was 46.3% increase in the income of the benefi ciaries while the non-benefi ciaries had just 7.4% increase. The study further re- vealed that there was a positive income diff erence of N151.27 in favour of the benefi ciaries of the project. However, the constraints to deriving a full impact of the programme by the benefi ciaries were: lack of commitment by the facilitators, lack of technical know-how, poor transportation system and inadequacy of the equipment provided. The study therefore recommends policies aimed at overhauling the activities of the facilitators, improving the technical skill of the benefi ciar- ies, improving the transportation system and providing the benefi ciaries with more equipment.
... The Fadama III is a follow up of National Fadama Development Project II, which itself resulted from the first Fadama project [4]. As a result of Fadama project, rural smallholder farmers in Nigeria are said to have earned about 60% higher income [3,5,6]. The main aim of Fadama III is to increase the income of rural people through the use of land and water resources on a sustainable basis, thereby reducing rural poverty, increasing food security and contributing to economic growth [4]. ...
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Fadama III is a rural development initiative targeting, amongst others, small holder farmers. It is a follow up of previous National Fadama Development Projects, and it is implemented in all but one state of Nigeria. This study covered 5 out of the 8 local counties (known as local government areas, LGAs) of Bayelsa State. This study addressed the social and environmental sustainability of Fadama III projects in the Niger delta, using Bayelsa state as a case study. The study aimed at evaluating the social and environmental status of Fadama III in Bayelsa state, determining compliance with best practices; and suggesting measures to guarantee sustainability. Although there were no detectable adverse effects of the Fadama III sub-projects on the social and environmental settings of the beneficiary localities, there are salient issues that can mar the long-term sustainability of Fadama III. The conceptualization and implementation of rural development programs like Fadama III need improvement. The peculiarities of the smallholders need to be identified and contextualized in the formulation of similar projects in the future, and adequate budget should be provided to fund measures that guarantee sustainability.
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Poverty has remained largely unabated in Nigeria despite the efforts made in tackling it. Previous studies on poverty focused on total expenditure and did not adequately cater for regional differences in prices, needs, tastes and preferences. This study, therefore, examined the incidence, depth and severity of food poverty in Nigeria and produced a food poverty profile for the country based on zone-specific food poverty lines. The study used data from National Bureau of Statistics’ Nigeria Living Standard Survey, 2004. Linear programming technique in the spirit of the Food-Energy-Intake (FEI) approach, and the Foster-Greer-Thorbecke (FGT) index were utilized. The estimates of the study showed, among other things, that food poverty lines varied across zones, and food poverty was pervasive in the country and varied across zones. Thus policies and programs that will adequately increase people’s access to food and minimize the incidence of food poverty in Nigeria should be adopted.
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This study specifically sought to determine the average income of Fadama user and non Fadama user households based on their crop, livestock and off-farm activities as relating to project implementation and also the proportion of the Fadama user households attaining the observed average income. 152 participating households in Fadama III Project and 50 non participating households were randomly selected for this study. Data were collected by well trained enumerators through the use of well structured and pre-tested questionnaire and analyzed through the use of Descriptive and Inferential statistical tools. The Double-Difference (DD) Estimator was used to compare changes in outcome measures. Findings indicate that average age of the respondents was 52.4 years while 54.95% were males and about 68% were married with 20% possessing no formal education. (73.71%) of the respondents have household sizes ranging from 4 to 10 members. The average per capita income of the Fadama user households before the project implementation was N 62,480.00 while that of the Fadama III non beneficiaries was N63,572.00. On the average, the real income of Fadama III beneficiaries increased by about 36.67% (From N62, 480.00 to N85,391.42) as a result of participation in the project. By contrast however, average real income of Fadama III non beneficiaries increased only by 11.6% from N63,572.00 to N73,743.52. The mean increase in income for participants in Fadama III was significantly different from that of non participants at p = 0.05. Appropriate policy to ensure proper education of rural populace is advocated.
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The paper revisits the site of a large, World Bank-financed, rural development program in China 10 years after it began and four years after disbursements ended. The program emphasized community participation in multi-sectoral interventions (including farming, animal husbandry, infrastructure and social services). Data were collected on 2,000 households in project and nonproject areas, spanning 10 years. A double-differenceestimator of the program&apos's impact (on top of pre-existing governmental programs) reveals sizeable short-term income gains that were mostly saved. Only modest gains to mean consumption emerged in the longer term-in rough accord with the gain to permanent income. Certain types of households gained more than others. The educated poor were under-covered by the community-based selection process-greatly reducing overall impact. The main results are robust to corrections for various sources of selection bias, including village targeting and interference due to spillover effects generated by the response of local governments to the external aid.
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The authors address the economic impact of the labor force training program (PAFPA) developed for the informal sector in Côte d'Ivoire. The data contain a subsample of the participants in the agricultural sector, tailoring sector, and the electronics sector, and a comparable control group of nonparticipants. The data have been analyzed using standard program evaluation tools, namely difference-in-difference estimators, in order to detect potential program impacts. The authors find positive economic impacts as a result of training received for some groups, namely women, the agricultural and electronics sectors, firms employing 1-3 individuals, and firms with 10 or more employees.
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The author critically reviews the methods available for the ex-post counterfactual analysis of programs that are assigned exclusively to individuals, households, or locations. The discussion covers both experimental and non-experimental methods (including propensity-score matching, discontinuity designs, double and triple differences, and instrumental variables). Two main lessons emerge. First, despite the claims of advocates, no single method dominates; rigorous, policy-relevant evaluations should be open-minded about methodology. Second, future efforts to draw more useful lessons from evaluations will call for more policy-relevant measures and deeper explanations of measured impacts than are possible from the classic ("black box") assessment of mean impact.
Analysis of Impact of Fadama II Project Beneficiary Farmers Income in Kaduna State: A Double Difference Method Approach
  • J B Simonyan
  • R A Omolehin
Simonyan, J. B., & Omolehin, R. A. (2012). Analysis of Impact of Fadama II Project Beneficiary Farmers Income in Kaduna State: A Double Difference Method Approach. International Journal of Economics and Management Sciences, 1(11), 1-8.
Third National Fadama Development Programme (NFDP–III): Progress Report on Fadama III. project Implementation presented at the 7th joint FGN/World Bank supervision mission in Cross River State Calaber
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Delta State Fadama III Coordinating Office (DSFCO). (2013). Third National Fadama Development Programme (NFDP–III): Progress Report on Fadama III. project Implementation presented at the 7th joint FGN/World Bank supervision mission in Cross River State Calaber, 15–19 Feb 2013.
Estimated population figures. Abuja: National Population Commission of Nigeria
National Population Commission. (2006). Estimated population figures. Abuja: National Population Commission of Nigeria.
Impact of a pro-poor community-driven development project in Nigeria
  • E Nkonya
  • D Philip
  • T Mogues
  • J Pender
  • M Yahaya
  • G J Adebowale
  • T Arokoyo
Nkonya, E., Philip, D., Mogues, T., Pender, J., Yahaya, M., Adebowale, G. J., & Arokoyo, T. (2008). Impact of a pro-poor community-driven development project in Nigeria. A report submitted to International Food Policy Research Institute on Sustainable solutions for ending hunger and poverty–March 2008. 10–36.