Commercialization and De-Risking for Agricultural Transformation Project (Руанда - Тендер #63957752) | ||
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Страна: Руанда (другие тендеры и закупки Руанда) Организатор тендера: The World Bank Номер конкурса: 63957752 Дата публикации: 18-05-2025 Источник тендера: Тендеры всемирного банка |
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P171462
Commercialization and De-Risking for Agricultural Transformation Project
Rwanda
OP00358016
Request for Expression of Interest
Published
RW-RAB-470853-CS-CQS
Consultant Qualification Selection
English
May 20, 2025 10:00
May 16, 2025
Rwanda Agriculture and Animal Resources Development Board
Stephen Rwamulangwa
P. O Box 5016 Kicukiro District, Rubilizi Kigali-Rwanda Email : infos@rab.gov.rw
Rwanda
Rwanda
+250788305780
stephen.rwamulangwa@rab.gov.rw
www.rab.gov.rw
The Government of Rwanda has received financing from the International Development Association (IDA) toward the cost of the Commercialization and De-risking for Agricultural Transformation (CDAT) Project and intends to apply part of the proceeds for consulting services of Hiring a consultancy firm to carry out mid-Term review survey.
The Terms of Reference (TOR) related to this assignment are attached to this request for expressions of interest.
The Rwanda Agriculture and Animal Resources Development Board (RAB) / Commercialization and De-risking for Agricultural Transformation (CDAT) Project now invites eligible consulting firms (“Consultants”) to indicate their interest in providing the above Services. Interested Consultants should provide information demonstrating that they have the required qualifications and relevant experience to perform the Services. Expression of Interest (EOI) will include: core business and years in business, relevant experience, technical and managerial capability of the firm.
To be able to submit an expression of interest, International and National consulting firms who are not registered in E-procurement system, are advised to register themselves through www.umucyo.gov.rw
N.B.:
Submission of expression of interest via other channels than Umucyo E-Procurement System shall not be considered. In case of Joint-Venture, only the lead firm must submit the Expression of Interest, otherwise the EOI will be rejected.
The shortlisting criteria are:
The firm shall demonstrate prior experience in large household surveys and must have knowledge of local formalities and customs in the implementation of household surveys. Experience in agricultural data collection is preferred proven by certificates of good completion and signed contracts.
The shortlist will contain five (5) to eight (8) firms.
The attention of interested Consultants is drawn to Section III, paragraphs, 3.14, 3.15, and 3.16 of the World Bank’s “Procurement Regulations for IPF Borrowers” sixth Edition of February 2025 (“Procurement Regulations”), setting sixth the World Bank’s policy on conflict of interest.
Consultants may associate with other firms to enhance their qualifications, but should indicate clearly whether the association is in the form of a joint venture and/or a sub-consultancy. In the case of a joint venture, all the partners in the joint venture shall be jointly and severally liable for the entire contract, if selected.
A Consultant will be selected in accordance with the criteria set out in the Request for Proposals.
Expressions of interest must be delivered through e-procurement system on www.umucyo.gov.rw by the time indicated in the system.
TERMS OF REFERENCE FOR COMMERCIALIZATION AND DE-RISKING FOR AGRICULTURAL TRANSFORMATION (CDAT) PROJECT MIDTERM SURVEY
The Government of Rwanda has received credit and grant from the International Development Association (IDA), Loan No: CREDIT A (Non-Concessional) NUMBER 7084-RW, CREDIT B (Concessional) NUMBER 7085-RW, GRANT NUMBER E017-RW and GRANT NUMBER TF0C5464 from Trust Fund Compact with Africa Green Businesses Multi-Donor Trust Fund to implement the Commercialization and De-Risking for Agricultural Transformation Project, and wants to use portion of proceeds to finance the Midterm Survey as part of Project Impact Evaluation.
CDAT project is having a national coverage and an integrated focus on promoting agri-food commercialization by expanding marketable volumes through increasing irrigated area, strengthening value chains, de-risking and facilitating access to finance for increased investments in production, postharvest handling and commercialization of agriculture products. These operations have been supporting the implementation of Rwanda’s recently concluded PSTA-4, which aimed to strengthen the capacity of the Ministry of Agriculture and Animal Resources (MINAGRI) to create an enabling environment that would encourage greater private sector investments and increased commercialization across Rwanda’s agriculture value chains and will continue to support the implementation of the Fifth Strategic Plan for Agriculture Transformation (PSTA 5) from 2024-2029, themed "Building resilient and sustainable agri-food systems."
The project has four components. Component 1 focuses on strengthening market and value chain linkages and improving land use efficiency for commercial production using a climate adaptation and mitigation lens. It is also building demand for financial services that can unlock investments to modernize and grow the agri-food sector. Component 2 addresses the supply-side of financial services for agriculture, by leveraging and deploying private sector capital and strengthening the provision of instruments to de-risk the sector. Component 3 covers project management. Component 4 allows for the rapid reallocation of uncommitted funds in the event of an eligible emergency.
The productive investments under the project are expected to benefit 235,977 households, cooperatives, and agribusiness firms or 11 percent of Rwanda’s 2.1 million farming households, cooperatives, and agribusiness firms. Agricultural finance provided through Participating Financial Institutions (PFIs) is expected to benefit approximately 2,232 beneficiaries over five years. Crop and livestock insurance is projected to cover about 575,000 and 75,000 farmers, respectively. About 82,000 hectares of arable land will benefit from project interventions, of which 13,023 ha will benefit from rehabilitated and new irrigation infrastructure. CDAT is aiming to provide new/improved land husbandry practices with climate resilient features for about 9,887 ha of land.
The development objectives of the CDAT are “to increase the use of irrigation and commercialization in supported value chains and access to finance among producers and agribusiness firms”. The Project development Objective performance indicators are the following;
The project is implemented in all the districts countrywide.
2.1 Objective of the Midterm Survey
The general objective is to collect data to inform the midterm status of households in the areas targeted by the CDAT for irrigation, land husbandry, seed system, value chain development, agriculture financing, insurance and matching grant. The midterm survey will inform on the current progress of the project objective achievement vis a vis the targets and will then indicate which strategic changes and orientation to be included in the project implementation for the remaining period up to project closure that will lead to the smooth project implementation and attainment of project objective.
Specifically, the consultancy services is to undertake households’ data collection, analysis, interpretation and produce of a comprehensive Midterm Survey Report which will describe the status of households living in areas targeted by the Project. A survey will be done on the sample of residents as in Baseline Survey in the project targeted areas to measure their livelihood midterm status including; adoption of improved agricultural technology, agricultural production, agriculture produce commercialization, market linkage, access to finance, crop and livestock insurance, farm income, food loss index, women representation in decision making positions in participating WUAs, etc. Other off-farm enterprises and value addition businesses for selected value chains as a result of access to matching grant program will also be analysed to have the midterm values for corresponding indicators. For comparison purposes, a sample of farmers from control sites, comparable to those from sampled treatment sites will be interviewed to determine project’s attribution to observed positive changes and outcomes. Non-beneficiary sampled respondents will be from areas adjacent to all project treatment areas and the sampling strategy will be purposive sampling with the total control sample constituting ten (10) percent of treatment sample. This sample will be scattered to ensure that it is representative of the entire population. The consultancy services will review the current achievements in all project components and subcomponents and prepare a comprehensive report about the implementation progress which will inform the necessary adjustments that could be incorporated in the project implementation towards the achievement of the overall objective.
2.2 Data
The primary data to be collected for the midterm survey will come from comprehensive, multi-module household qualitative and quantitative surveys. The secondary data will come from the desk review of different documents and reports from participating government institutions (MINAGRI, RAB, NAEB, BRD, BDF etc.) and other stakeholders. To this extent, discussions with key guiding questions developed by the consultant and approved by the project team will be conducted with relevant project stakeholders. Consultations will also be done with local authorities, Government officials in Agriculture sector and farmers representatives to have relevant additional information and insights. This data will allow the project to compare the current progress of the project objective achievement in relation to the targets.
The data to be collected for modules related to extension services, irrigation, agriculture production, postharvest handling and marketing are from Season B 2024, Season C 2024 and Season A 2025.for selected marshland and hillside sites (treatment) as well as adjacent areas (control). Other data to be collected include but not limited to; farmer’s organizations, land husbandry activities, access to finance, agriculture insurance, matching grant, food security and beneficiary’s satisfaction with project interventions.
The data collected will help the project to report on the following indicators, which are part of the results framework and other social-economic indicators not included in the results framework, including education, employment and job creation, household incomes and expenditures, housing and living conditions etc, which will be agreed upon during the inception period and captured in the survey instrument:
Data collected will be disaggregated by sex wherever possible.
Follow up FGDs will be organized to collect qualitative information on the why of some disparities in numbers. Significant gender differences for example, or low uptake of a certain technology (irrigation, inputs, etc.), financial and insurance products, etc.
2.3. Supervision Team
|
Name |
Title |
|
CDAT Team |
|
|
Stephen RWAMULANGWA |
SPIU Coordinator/RAB-SPIU |
|
Sarah NYIRAMUTANGWA |
Cross-Cutting Program Manager |
|
Ernest UZARIBARA |
Project Manager/RAB-SPIU |
|
Ezra MUTABARUKA |
M&E Specialist/RAB-SPIU |
|
BRD Team |
|
|
Alexia TUYISENGE |
Project Coordinator/BRD |
|
Carine NISHIMWE |
M&E Specialist/BRD |
|
BDF Team |
|
|
Vincent MUNYESHYAKA |
CEO/BDF |
|
Ms. Michel MUSONI |
M&E Specialist/BDF |
The terms of reference are for a survey that comprises of;
The survey population and households to be sampled are presented in the following table:
|
Sites |
District |
Total estimated HH |
Sample size by treatment site |
Replacement for treatment (10% of the sample) |
Sample size by control site (20% of the sample |
|
Cyohoha (Marsh and hillside) |
Bugesera |
28,784 |
186 |
19 |
37 |
|
Gashora hillside |
Bugesera |
4,980 |
32 |
3 |
6 |
|
Rurambi |
Bugesera |
6,225 |
40 |
4 |
8 |
|
Kajevuba |
Gasabo |
2,241 |
15 |
2 |
3 |
|
Rwangingo |
Gatsibo-Nyagatare |
4,980 |
32 |
3 |
6 |
|
Gatuna |
Gicumbi |
4,905 |
32 |
3 |
6 |
|
Kigaga |
Gisagara |
1,162 |
8 |
1 |
2 |
|
Nyakanyeri |
Gisagara |
1,411 |
9 |
1 |
2 |
|
Ruvugangoma |
Gisagara |
1,070 |
7 |
1 |
1 |
|
Nyabuyogera |
Gisagara |
2,714 |
18 |
2 |
4 |
|
Runukangoma |
Huye |
2,390 |
15 |
2 |
3 |
|
Karambi |
Kayonza |
6,640 |
43 |
4 |
9 |
|
Kageyo |
Kayonza |
17,430 |
113 |
11 |
23 |
|
Nasho |
Kirehe |
7,470 |
48 |
5 |
10 |
|
Bakokwe |
Muhanga |
7,802 |
51 |
5 |
10 |
|
Makera |
Muhanga |
2,075 |
13 |
1 |
3 |
|
Muvumba |
Nyagatare |
6,225 |
40 |
4 |
8 |
|
Kagitumba |
Nyagatare |
6,723 |
44 |
4 |
9 |
|
Cyabayaga |
Nyagatare |
6,299 |
41 |
4 |
8 |
|
Matimba |
Nyagatare |
747 |
5 |
1 |
1 |
|
Kibati |
Nyamasheke |
747 |
5 |
1 |
1 |
|
Kamiranzovu |
Nyamasheke |
1,784 |
12 |
1 |
2 |
|
Nyagahembe |
Nyamasheke |
996 |
6 |
1 |
1 |
|
Mugonero |
Nyamasheke |
1,245 |
8 |
1 |
2 |
|
Agasasa |
Nyanza |
4,980 |
32 |
3 |
6 |
|
Nyarubogo |
Nyanza |
3,735 |
24 |
2 |
5 |
|
Mwogo |
Nyanza |
10,084 |
65 |
7 |
13 |
|
Rubuyenge /Burakari |
Nyanza-Ruhango |
7,221 |
47 |
5 |
9 |
|
Base |
Nyanza-Ruhango |
3,336 |
22 |
2 |
4 |
|
Kanyegenyege |
Nyza-Ruhango |
3,286 |
21 |
2 |
4 |
|
Gipfuna |
Nyaruguru |
2,556 |
17 |
2 |
3 |
|
Agatorove |
Nyaruguru |
3,461 |
22 |
2 |
4 |
|
Kiryango |
Ruhango |
2,689 |
17 |
2 |
3 |
|
Nyirakiyange |
Ruhango |
2,453 |
16 |
2 |
3 |
|
Bugarama - Marshland |
Rusizi |
37,765 |
244 |
24 |
49 |
|
TOTAL |
208,611 |
1,350 |
135 |
270 |
3.1 Duration
Timeline: The duration of the consultancy is 3 months (12 weeks) counted from the date of the contract signature.
3.2. Data collection procedures
Instrument: A multi-module household questionnaire will be provided by the project team. The focus of the questionnaire will be (i) plot level agricultural information (such as location of the plot, area cultivated, area under irrigation, area provided with comprehensive land husbandry technologies, production, yield, level of input use, the type of production techniques used, size and ownership of land etc.), (ii) market linkage and commercilaization, (iii) Access to finance, (iv) agriculture insurance, (v) access to matching grant program as well as (vi) household level welfare measures and other household characteristics (such as the level and sources of income, expenditure, education, gender, family size etc.). Capacity for GPS data collection is also required for locating households.
Electronic Data Collection: Interviewers will collect household data through face-to-face interviews using electronic questionnaires. The questionaire will be prepared by the project team and shall be uploaded in tablets by the consultancy firm using Open Data Kit (ODK). The firm must provide android devices on which data can be collected. The client will provide the necessary information for this to the survey firm.
The survey firm will be responsible for the midterm data collection, analysis, interpretation and production of comprehensive midterm survey report. The major duties of the survey firm will include:
|
Activity 1: Validation of electronic questionnaire |
|
|
Activity 2: Detailed Field Procedure Plan |
|
The Field Procedure Plan will detail the following:
The Field Procedure Plan must be submitted for comment and review to the CDAT team before the start of field work and revised accordingly. The Survey Firm must adhere as closely to the plan as conditions allow during survey implementation. As field conditions dictate significant changes to these plans, the Survey Firm’s Field Supervisors are obliged to inform the CDAT Team via the Survey Firm’s management, in form of a written report or progress report, and must receive written approval from the CDAT team before the change is implemented in the field. |
|
Activity 3: Recruitment, training, piloting and contracting of experienced field staff |
|
|
Activity 4: Implementation of the household survey data collection |
|
|
Activity 5: Back-checks |
|
|
Activity 6: Correction of inconsistencies / outliers |
|
|
Activity 7: Submission of final dataset |
|
|
Activity 8: Data analysis and reporting |
|
The expected deliverables from the midterm survey are the following:
The selected Survey Firm must possess the following qualifications:
The firm team will be composed by 1 socio-economist for qualitative data analysis and reporting based in Kigali (also referred to as Team Leader) with regular field supervision trips; 1 programmer / data manager, 1 field manager responsible for coordinating all the 6 enumerator teams with each field team consisting of 4 enumerators and 1 supervisor. The team will also have 6 back-checkers who will work independently to insure a high level of data quality:
The expected outputs and schedule of delivery are presented in the following table:
|
No. |
Activity |
Output & sub-activities |
Timeline |
|
1 |
Piloting |
Pilot dataset & pilot report electronic questionnaire |
1st Week |
|
1.1 |
Translation of questionnaire in Kinyarwanda |
1st Week |
|
|
1.2 |
Confirm all skip codes, logic and consistency checks |
1st Week |
|
|
1.3 |
Validate translations and provide any suggestions on content |
1st Week |
|
|
1.4 |
Test the survey instrument in the field |
2nd Week |
|
|
1.5 |
Ensure that all data (variables and values) is correctly labelled (in English) when exported to Stata |
2nd Week |
|
|
2 |
Field Procedure Planning |
Field Procedure Plan |
3rd Week |
|
2.1 |
Composition of field teams: number of enumerators, supervisors, back checkers and field manager |
3rd Week |
|
|
2.2 |
Responsibilities of each field team member, with checklists as appropriate |
3rd Week |
|
|
2.3 |
Calendar of activities, including the expected time each team will spend in each enumeration area and the order in which enumeration areas will be covered |
3rd Week |
|
|
2.4 |
Travel and lodging logistics |
3rd Week |
|
|
2.5 |
Management information/reporting tools to track household interviews and to record if/why replacements were made to the original sampling list |
3rd Week |
|
|
2.6 |
Procedures for field data backup and weekly submission to the midterm evaluation team |
3rd Week |
|
|
2.7 |
Procedures for emergencies when it is not possible to collect data electronically (for instance when tablets are stolen, lost or damaged) |
3rd Week |
|
|
2.8 |
Detail the necessary protocols for dealing with and/or replacing households who refuse to participate or are unable to be located, and rules for household re-visits and substitutions |
3rd Week |
|
|
2.9 |
Detail the necessary protocols to ensure selected households can participate in a follow-up survey as part of the requirements for the construction of a household panel dataset |
3rd Week |
|
|
2.10 |
Supervision and spot check plans to ensure adherence to data collection protocols and confirm quality of electronic data collection |
3rd Week |
|
|
3 |
Training |
Training |
3rd to 4th Week |
|
3.1 |
Final training curriculum and materials, including instrument to evaluate mastery of questionnaire |
3rd Week |
|
|
3.2 |
Roster of recruited field staff with their corresponding qualifications. |
4th Week |
|
|
3.3 |
Dataset from enumerator field practice |
4th Week |
|
|
3.4 |
Training of enumerators, back checkers and field supervisors |
4th Week |
|
|
4 |
Data collection |
Data collection |
5th to 8th Week |
|
4.1 |
Daily field Progress Reports & Raw Data Delivery |
5th to 8th Week |
|
|
5 |
Back Checking |
Back checking |
5th to 8th Week |
|
5.1 |
Daily data submissions (interviews & back-checks) _at the end of every week |
5th to 8th Week |
|
|
5.2 |
collect qualitative information on the why of some findings (unexpected findings especially), and disparities in numbers. |
5th to 8th Week |
|
|
6 |