Consultancy services for Designing and Piloting of a Farmer-Led Irrigation Development (FLID) intervention in Zambia

Scope as published

REPUBLIC OF ZAMBIA MINISTRY OF FINANCE AND NATIONAL PLANNING NATIONAL AUTHORISING OFFICE OF THE EUROPEAN DEVELOPMENT FUND REQUEST FOR EXPRESSIONS OF INTEREST (CONSULTING SERVICES - FIRMS SELECTION) Country: Zambia Name of Project: Irrigated and Sustainable Agriculture for Transformation (ISAT) Project (P182068) Loan No./Credit No./ Grant No .: E5970 Assignment Title: Consultancy services for Designing and Piloting of a Farmer-Led Irrigation Development (FLID) intervention in Zambia Reference No . ZM-MOFNP-570604-CS-QCBS The Government of the Republic of Zambia (GRZ) has received financing from the World Bank toward the cost of the Irrigated and Sustainable Agriculture for Transformation (ISAT) Project Preparation and intends to apply part of the proceeds for consulting services. The Project Preparation Grant financing is intended to support the identification, technical assessment, and preparation of priority irrigation schemes that can be taken forward under the full ISAT operation. The consulting services ("the Services") include Designing and Piloting of a Farmer-Led Irrigation Development (FLID) intervention in Zambia. Objectives of the Assignment The objective of the assignment is to support the design of a FLID component for the ISAT project, including the design and piloting of a Results-Based Financing framework tailored to FLID. Scope of Work The consultant is expected to undertake the following tasks: a) Fast diagnostic (data collection, analysis): Understand the bottlenecks to scaling up FLID in Zambia and scoping for a Result Based Financing (RBF) framework around the identified irrigation schemes. Characterize FLID potential at farm level (farm size, assets, affordability gaps) Survey the current private sector landscape that is providing goods (supply of irrigation equipment) and services (irrigation services) to assess equipment capital and operational costs for the range of farmer types and farm sizes, understand private sector challenges and draw on private sector insights into opportunities for rapid irrigation technology uptake and expansion. Understand the existing public financing structures and mechanisms for financing smallholder irrigation. Explore the policy and legal barriers in the enabling environment constraining smallholder farmers in autonomously carrying out small-scale irrigation development. b) FLID intervention and RBF Design: Translate the diagnostic into a set of feasible, scalable FLID intervention models. Develop the design of potential FLID interventions within the ISAT project, providing different options and potential scenarios based on the diagnostic of farmers' assets, willingness to pay, providers' capacity, among others. Design an RBF framework and its parameters: Key Result Indicators (KRIs), payment triggers/schedules, eligibility, verification, financial flows, subsidy/rebate, risk-sharing. c) Piloting the Methodology: The pilot phase serves as a controlled environment to test the feasibility, scalability, and sustainability of the proposed FLID intervention. Particularly irrigation modernization, financing mechanisms, and private sector partnerships. The four sequential stages of the methodology include: Elaborate a piloting methodology of the proposed interventions in Zambia accounting for the time constraint of the project preparation, outlining the process for selecting testing sites, testing financing mechanisms, partnering with irrigation equipment providers and any other intervention design aspects that might be piloted. Identify 10 appropriate sites for piloting based on a set of pre-defined characteristics. Onboard participants of the pilots such as providers, financial institutions, districts, farmers. Define the Monitoring, Evaluation, and Learning (MEL) framework to assess the pilot's performance. d) Pilot implementation and evaluation: Implement FLID interventions with continuous technical support, collect baseline, midline and end-line data, identify challenges alo…

Classifications