CPV_2018_MCC-WMAS_v01_M
Watershed Management and Agriculture Support Project 2018
Independent Performance Evaluation
Name | Country code |
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Republic of Cabo Verde | CPV |
A theory-based approach was employed to conduct the post-compact performance evaluation of the WMAS Project. This approach examines the entire project causal chain or logical framework, from inputs to outputs and outcomes to possible impacts, to explore how and whether inputs were correctly designed to lead to the expected goals. The theory-based approach was used to assess the effect of a program in a way that accounts for both the underlying causal mechanisms and implementation processes. The objective was to obtain information not only on what works and what does not, but also on how and why the project succeeded or failed based on rigorous academic evidence.
With respect to project design, the Evaluator assessed whether the project was adequately designed to achieve the expected outcomes. To this end, the Evaluator took a holistic approach with a focus on relevancy and the need/demand for the project activities. The Evaluator reviewed related literature to pinpoint any conceptual shortcoming in the causal chain e.g. institutional / organizational aspects which may have influenced project outcome. In this context, the ERR calculations were reviewed, underlying assumptions were examined to assess whether the assumptions remained valid during the Compact period or if unpredicted events happened that violated the ERR assumptions. The Evaluator looked at any perceived risks and any mitigation strategies put in place to manage those risks, as well as whether contextual factors were considered.
With respect to project implementation, the Evaluator evaluated the overall adherence to the design. It assessed whether the intervention was carried out as planned, and in the same way everywhere within one island and across islands. From this perspective, the Evaluator examined several factors, in particular the quality of the construction, procurement procedures, supervision, choice of regions, environmental conditions, and the role of different entities and their coordination in the implementation process, as well as follow-up procedures. The Evaluator also assessed the quality of the training program and technical assistance, the reasons for implementation delays, factors that influenced the performance of different project participants during project implementation, etc.
With respect to project outcomes, the Evaluator evaluated whether the expected results were achieved (i.e. effectiveness), and whether these results have been sustainable during the post compact period (i.e. sustainability). The collected data included a large volume of administrative data on all the project activities during the mission. Primary data was also collected through surveys of project participants, such as farmers and traders, to gain an informed insight into the outcomes. The evaluation assessed how the three activities under the WMAS project interacted with each other along with contextual factors to achieve the Compact's goal in order to capture a complete picture of the project's performance. The performance assessment was designed to consolidate the findings, while accounting for the links and interrelationships between each project activity. Moreover, lessons were drawn from the overall project evaluation.
The issue of attribution was addressed through contribution analysis. The attribution issue for the WMAS project was heightened by the lack of baseline data that would incorporate a valid counterfactual. 229 farmers in Santo Antão, 59 farmers in São Nicolau and 49 farmers in Fogo were, for instance, expected to gain increased access to water and credit to install drip irrigation. The contribution analysis addressed causal inference by looking for consistency of outcomes with the program theory while assessing/ruling out alternative explanations. The notion of contribution stems from the view that an intervention works alongside contextual factors to produce the observed outcomes. The attribution question can therefore be equivalent to asking what difference the program makes in bringing about the observed outcomes, and whether the program played any catalytic role that resulted in a specific outcome.
The performance evaluation followed a mixed methods approach, combining quantitative and qualitative data. The quantitative component consisted mainly of analysis of secondary data collected from national surveys, Performance Indicator Tables, available documents on the project activities, data provided by MCA Cape Verde and MCC, and survey data collected from farmers and traders. The qualitative component includes the literature review and the analysis of stakeholder interviews conducted during the fieldwork.
Evaluation Questions
The main evaluation questions for each activity are divided into two components as per the evaluation framework: Effectiveness and Sustainability.
The project's design aligns with academic literature and seems relevant to the government's priorities. However, the design did not fully consider the country's overall growth dynamics and agriculture suitability to bring optimal benefits. All infrastructure activities were concluded before the end of the Compact, but sequencing of the construction and quality control was inadequate in some cases. For instance, some reservoirs were made before the boreholes were in place and, therefore, could not provide water immediately to farmers who already had bought drip irrigation equipment. Because of leakages caused by poor construction, some of the reservoirs could not hold water for long. The training program under the agribusiness activity increased skills and knowledge of extension workers and farmers, but it was reported to be insufficient to have the expected impacts.Survey data shows that of the trained farmers, 22% reported that they would expect improvement in content, 64% reported that they would expect improvement in the duration of the training, and 16% reported the need for improving language issues. Similarly, the training program for participating MFIs did not include enough training at the operational level required for loan underwriting.
Sample survey data [ssd]
Households.
Anonymized dataset for public distribution
Topic |
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Agriculture and Irriagtion |
Island level data.
The sample of farmers comprised of 100 farmers in Santo Antão and 25 farmers in Fogo. The sample also included 11 traders, 9 from Santo Antão and 2 from Fogo. 87% of the survey participants were aged above 40 years, 10% were between 31-40 years and 2% between 26-30 years. Most of the farmers were male (2%). The survey covered farm households operating in the treatment areas. The sample was drawn from a list of potential beneficiaries held by the local offices of the Ministry of Agriculture in Mosteiros and Paúl and from CAIXA. All farms were small scale.
Name |
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A2F Consulting LLC |
Name |
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Millennium Challenge Corporation |
The required sample size was calculated for different scenarios of confidence interval and margin of error using a formula. The number of farmers has been fairly small within each island. Therefore, the formula was used for the purpose of cross validation to ensure the proposed sample size lies within an acceptable range and results from the survey can be generalized to the whole population of beneficiaries. Details on the formula are provided in the main report.
All the calculations were carried out using the conservative estimate of 50% for key outcome indicators of the study. This number yields the most conservative sample size. The majority of the indicators were in the form of proportions, which to a great extent would simplify the task of sample size calculations. As the variance of proportion is bounded (i.e. P*[p-1]), assuming the maximum variance (0.5) would therefore ensuring the minimum level of precision. Also, marginal error rates of 5% as well as a 95% confidence interval were used. The design effect was set at 1. These parameters would ensure accuracy and representation of the final results based on acceptable statistical standards.
Collecting data on 100 farmers in Paúl, as well as collecting the same on 25 farmers in Mosteiros provides a representative picture of the project performance in those areas.
There were no deviations from the the original Sample Design.
The response rate was 100%.
No sample weights were used.
Both the questionnaires for farmers and traders were structured questionnaires. While the respondents were individuals, the survey was designed at the household level.
The farmer survey questionnaire was divided into 9 modules. The first module collected identification information on the respondent (which was later removed). The second module collected basic information on the respondent including age, gender, marital status, education, membership at farmers' groups etc. The third module focused on collection information related to farm characteristics, production, revenue and cost. The fourth module was designed to collect various questions related to sales such as amount of sales, exports, transportation to market etc. The fifth module was concerned with collecting information on drip irrigation management, usage, satisfcation, challenges, etc. The sixth module collected information related to agriculture training under the WMAS Project. The seventh module collected information on post harvesting practices. The eighth module collected information on the various aspects of credit services. The ninth module collected various information to inform a value chain analysis.
The trader survey questionnaire was divided into 8 modules. Similar to the farmer survey questionnaire, the first two modules focused on collecting identification information and other basic information on the respondent. The third module was concerned with collecting information on how the traders maintained quality standards. The fourth module collected various market related information such as where the produces are sold or to whom the produces are sold, transportation to the market, purchase price, sales price etc. The fifth module was designed to collect information on agriculture trainings participated by the traders. The sixth module focused on post-harvesting practices followed by the seventh module which collected information on credit services usage of the traders. The eighth module collected various information to inform a value chain analysis.
The questionnaires were developed in English and translated into Portuguese. After an initial review, the questionnaires were translated back into English by the enumerator. The English and Portuguese questionnaires were both piloted as part of the survey pretest.
Start | End |
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2018-08-28 | 2018-09-27 |
Name |
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A2F Consulting LLC |
The data collection team consisted of a team of A2F survey supervisors and a team of local enumerators. There were 3 supervisors, 2 males and 1 female. The enumerator team comprised 8-9 local people of whom approximately 55% were males.
The role of the supervisor was to coordinate field data collection activities, including management of the field teams, supplies and equipment, finances, maps and listings, coordinate with local authorities concerning the survey plan and make arrangements for accommodation and travel. Additionally, the field supervisor assigned the work to the interviewers, spot checked work, maintained field control documents, and sent completed questionnaires and progress reports electronically to the head-office in the US.
Two field visits were also made by a team of three central staff to collect qualitative information.
Data was checked for consistency and accuracy. Corrections were made by visual control of the questionnaire. Data editing took place at a number of stages throughout the processing, including:
a) Office editing and coding
b) During data entry
c) Structure checking and completeness
d) Secondary editing
e) Structural checking of Stata data files
Margin of error rate was set at 5% while confidence interval was fixed at 95%.
Millennium Challenge Corporation
Millennium Challenge Corporation
https://data.mcc.gov/evaluations/index.php/catalog/154
Cost: None
The dataset has been de-identified / anonymized and is available as a Public Use Dataset. It is accessible to all for statistical and research purposes only, under the following terms and conditions:
The original collector of the data, A2F Consulting, and the relevant funding agencies bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Rebati Mendali, A2F Consultants. Independent Evaluation of the Cabo Verde Water Management and Agricultural Services Project. Farmer survey, Trader survey, 2018. Millennium Challenge Corporation 2020. Retrieved [DATE].
Name | |
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Monitoring & Evaluation Division of the Millennium Challenge Corporation | impact-eval@mcc.gov |
DDI_CPV_2018_MCC-WMAS_v01_M
Name | Role |
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A2F Consulting | Independent Evaluator |
Millenium Challenge Corporation | Review of the DDI |
2020-06-08
Version 2 (July 2020)
2020-07-30
Version 1 (April 2019)
Version 2 (July 2020). Edited version based on Version 1 (DDI-MCC-CPV-A2F-WMAS-2018-v01) that was done by the Millenium Challenge Corporation.