AGRICULTURAL ECONOMICS & RURAL DEVELOPMENT (2 CERTIFICATIONS + SERVICES)

This service area is grounded in the lead consultant’s active role as an IITA-CGIAR Research Fellow and newly awarded PhD in Agricultural Economics from the University of Abuja. The CAGRE certification and professional consultancy services are aligned to CGIAR, World Bank LSMS, FAO, J-PAL, and USAID research standards.

Why agricultural economics?

The World Bank, USAID, FAO, IFAD, Gates Foundation, and hundreds of NGOs invest billions annually in agricultural research and rural development. Our lead consultant — Dr. Emmanuel Augustine Uke — is an active IITA-CGIAR Research Fellow with a PhD in Agricultural Economics and an MSc in Agricultural Economics, both from the University of Abuja, and has conducted surveys of over 1,500 farming households. No other training platform can offer agricultural economics and rural development training with this level of genuine, real-world CGIAR-backed doctoral credibility.

CAGRE — Certified Agricultural & Rural Development Researcher (CAGRE)

★ Why this certification was added

The lead consultant — Dr. Emmanuel Augustine Uke — is an IITA-CGIAR Research Fellow and newly awarded PhD in Agricultural Economics from the University of Abuja. He has coordinated large-scale household surveys across Nigeria, and has direct experience in farm household analysis, willingness to pay studies, food security assessment, and value chain analysis. The World Bank, USAID, FAO, IFAD, Gates Foundation, and hundreds of NGOs spend billions annually on agricultural research and rural development. This certification taps directly into that sector with genuine, world-class doctoral and field research credentials.

“Food security. Rural livelihoods. Evidence that changes policy.”

A rigorous certification in agricultural economics research methods and rural development analysis — grounded in real IITA-CGIAR field experience. Covers farm household survey analysis, food security measurement, willingness to pay methods, value chain analysis, agricultural impact evaluation, and research writing — aligned to CGIAR, World Bank LSMS, FAO, and J-PAL agricultural research standards.

 

Programme Details Information
Level
University & Professional — Postgraduate level
Audience
Agricultural economists, rural development professionals, NGO M&E officers, government agricultural planning staff, CGIAR and FAO researchers, postgraduate students in agricultural economics, development economics, and food security
Standards
CGIAR Research Standards · World Bank LSMS-ISA Agricultural Survey Standards · FAO Food Security Measurement Guidelines · J-PAL Agricultural RCT Standards · FIES (Food Insecurity Experience Scale) · HDDS (Household Dietary Diversity Score) · WEAI (Women’s Empowerment in Agriculture Index)
Duration
6 months
Format
Self-paced · Live instructor-led · Cohort-based · Blended
Assessment
Proctored online examination (minimum 75%) + agricultural data analysis project using STATA or R
Certificate
CAGRE Certificate — Ukeh-Adah Alliance Services Ltd

Course modules

Module 1: Foundations of Agricultural Economics & Rural Development | Outcomes: Apply farm household economic models to analyse rural livelihoods · Explain the structure of agricultural value chains and food systems

Agricultural economics: scope, methods, and relevance to food security and rural livelihoods · Farm household models: subsistence, semi-commercial, and commercial farming systems · Key concepts: input-output analysis, production functions, cost-benefit analysis · Agricultural markets: supply chains, price formation, and market failures · Rural livelihoods framework: assets, strategies, and outcomes (DFID framework) · Food systems: value chains from farm to consumer — actors, linkages, and governance · Poverty and vulnerability in agricultural households: measures and determinants · International agricultural research: CGIAR system, IITA, CIMMYT, IRRI, and their mandate crops

 

Module 2: Farm Household Survey Data Analysis | Outcomes: Analyse farm household survey datasets from CGIAR and World Bank sources · Calculate poverty indices and inequality measures from consumption expenditure data

Farm household survey structure: plot-level, household-level, and community-level data · Data organisation in STATA: merge, append, reshape wide and long for panel data · Descriptive analysis: farm size, input use, yield, income, and expenditure statistics · Production analysis: crop output, area harvested, yield gaps, and technology adoption · Income analysis: agricultural and non-agricultural income diversification · Poverty measurement: consumption expenditure aggregates, FGT poverty indices (P0, P1, P2) · Inequality: Gini coefficient and Lorenz curves in STATA and R · Handling complex survey data: sampling weights, stratification, and clustering in analysis · Real dataset: analysis of IITA tomato and cassava household survey data

 

Module 3: Food Security Measurement & Analysis | Outcomes: Calculate and interpret FIES, HDDS, and HFIAS food security scores · Analyse determinants of food insecurity using regression models in STATA or R

Dimensions of food security: availability, access, utilisation, and stability (FAO) · Food Insecurity Experience Scale (FIES): questions, scoring, and Rasch model calibration · Household Dietary Diversity Score (HDDS): 24-hour recall, food groups, and scoring · Women’s Dietary Diversity Score (WDDS) and Minimum Dietary Diversity for Women (MDD-W) · Household Food Insecurity Access Scale (HFIAS): questions, coding, and classification · HDDS and FIES analysis in STATA: generating scores and running determinants regression · Coping Strategies Index (CSI): food consumption coping behaviour measurement · Nutritional status indicators: stunting, wasting, underweight — WHO z-score calculation · Food security reports: writing findings for FAO, WFP, USAID, and donor audiences

 

Module 4: Willingness to Pay & Technology Adoption Studies | Outcomes: Design a Willingness to Pay study using CVM or Choice Experiment methods · Run and interpret probit, logit, and Tobit models for adoption and WTP analysis in STATA

What is Willingness to Pay (WTP) and why it matters for agricultural technology policy · Revealed preference vs stated preference methods · Contingent Valuation Method (CVM): survey design, bidding formats, and analysis · Choice Experiment (CE): attribute selection, experimental design, and conditional logit model · Hedonic pricing: estimating implicit prices from market data · Probit and Logit models for technology adoption: binary and ordered outcomes in STATA · Tobit model: censored dependent variables for WTP amounts · Double-bounded dichotomous choice: estimating mean WTP with confidence intervals · Real research: WTP for pest management technologies — PhD research by Dr. Emmanuel Augustine Uke, University of Abuja (completed) · Hands-on lab: estimate WTP for an agricultural input using CVM data in STATA

 

Module 5: Agricultural Value Chain & Market Analysis | Outcomes: Map and analyse an agricultural value chain from production to retail · Conduct market integration analysis and gross margin calculations

Value chain analysis framework: mapping actors, functions, linkages, and governance · Trader and processor surveys: questionnaire design and key variables · Market integration analysis: price transmission and co-integration tests in STATA · Gross margins analysis: calculating profitability at different nodes in the value chain · Porter’s value chain framework applied to agricultural commodities · Gender in value chains: women’s participation, constraints, and empowerment · Value chain upgrading: strategies for smallholder integration into modern markets · Real case: Yellow and White Cassava traders and processors survey across Benue, Oyo, Anambra

 

Module 6: Agricultural Impact Evaluation | Outcomes: Design an agricultural impact evaluation using RCT or quasi-experimental methods · Implement difference-in-differences and propensity score matching in STATA

Why impact evaluation matters in agricultural development: causal vs descriptive evidence · RCT design for agricultural interventions: input subsidies, extension, technology trials · Quasi-experimental methods: difference-in-differences, regression discontinuity, instrumental variables · Propensity Score Matching (PSM): theory, estimation, and robustness checks in STATA · Panel data methods: fixed effects and random effects models for longitudinal farm data · LATE estimation in agricultural RCTs: compliance, take-up, and ITT vs LATE · Measuring agricultural technology impact: yield, income, food security, and empowerment outcomes · Writing agricultural impact evaluation reports for CGIAR, World Bank, and donor audiences · Real case: evaluation of training and market support on farmers’ WTP — completed PhD dissertation by Dr. Emmanuel Augustine Uke, University of Abuja

 

Module 7: Research Writing & Dissemination for Agricultural Economics | Outcomes: Write a complete agricultural economics research paper to journal submission standard · Produce a policy brief from agricultural research findings for NGO or government audiences

Structure of an agricultural economics research paper: introduction to conclusion · Writing the literature review for agricultural economics: key journals and databases · Presenting econometric results: regression tables, marginal effects, and robustness checks · APA and journal-specific citation styles for agricultural economics publications · Writing the abstract: structured format for agricultural economics journals · Target journals: Food Policy, Agricultural Economics, World Development, AJAE, JARDES · Responding to reviewer comments: structured approach to revision and resubmission · Policy briefs for agricultural development: CGIAR policy notes, IFPRI briefs, and FAO reports · Capstone project: write a complete 5-section research paper from a provided agricultural dataset

 

Outcomes

Analyse farm household survey data using STATA and R to professional CGIAR standards · Measure and interpret food security indicators including FIES, HDDS, and HFIAS · Conduct WTP studies using CVM and Choice Experiments with logit/probit models · Evaluate agricultural interventions using RCTs, DiD, and propensity score matching · Map and analyse agricultural value chains across production, trade, and processing · Achieve a credential grounded in real IITA-CGIAR agricultural research experience

 

Certification requirement

Complete all 7 modules, pass a proctored examination (minimum 75%), and submit a complete agricultural data analysis project — including cleaned dataset, descriptive statistics, regression analysis, and a 1,500-word technical report.

 

Career pathways

Agricultural Economist, Rural Development Researcher, Food Security Analyst, M&E Officer (Agricultural Projects), CGIAR Research Associate, NGO Programme Analyst, FAO/World Bank Consultant, Policy Analyst. Average starting salary: $45,000–$85,000 USD.

 

CEIA — Certified Environmental Impact Assessment Practitioner (CEIA)

★ Why this certification was added

EIA is a legal requirement for development projects in Nigeria, across Africa, and globally — covering infrastructure, agriculture, mining, oil and gas, and urban development. Every EIA requires trained practitioners who can assess environmental and social impacts, design mitigation measures, and produce compliant reports. This is directly relevant to the lead consultant’s CGIAR context (agricultural development, pest management, land use) and to the company’s growing development sector client base. Expert instructors are available to deliver this to professional standard.

“Protect the environment. Enable development. Master the balance.”

A rigorous Environmental Impact Assessment certification covering EIA law and regulation, scoping and screening, baseline environmental surveys, impact prediction and significance evaluation, Environmental Management Plans, social impact assessment, stakeholder engagement, and EIA report writing — aligned to Nigerian NESREA standards, World Bank Environmental and Social Framework, and IAIA best practice.

Programme Details Information
Level
University & Professional
Audience
Environmental scientists, agricultural researchers, civil engineers, urban planners, oil and gas professionals, mining sector staff, government environmental officers, NGO staff, and development consultants
Standards
Nigerian NESREA EIA Regulations · World Bank Environmental and Social Framework (ESF) · IAIA Best Practice Principles · IFC Performance Standards · UNEP EIA Guidelines · African Development Bank Integrated Safeguards System · ISO 14001 Environmental Management
Duration
6 months
Format
Self-paced · Live instructor-led · Cohort-based · Blended
Assessment
Proctored online examination (minimum 75%) + EIA scoping document or executive summary EIA report for a defined project scenario
Certificate
CEIA Certificate — Ukeh-Adah Alliance Services Ltd

Course modules

What is EIA? Definition, purpose, and history — from NEPA 1969 to global adoption · EIA in Nigeria: NESREA Act, EIA Decree 86 of 1992, and regulatory procedures · EIA globally: World Bank ESF, IFC Performance Standards, African Development Bank safeguards · Types of assessment: EIA, Strategic Environmental Assessment (SEA), and ESIA · Screening: determining whether a project requires full EIA, limited EIA, or exemption · The EIA process: screening, scoping, baseline surveys, impact assessment, mitigation, monitoring, reporting · IAIA best practice principles: participation, accountability, transparency, and credibility · Stakeholder roles: proponents, competent authorities, technical specialists, communities

 

Module 2: Scoping & Terms of Reference | Outcomes: Conduct a structured scoping process and identify key environmental and social issues · Produce a Terms of Reference document for a field EIA assignment

What is scoping? Purpose, participants, and the scoping process · Identifying key environmental and social issues: air, water, soil, biodiversity, people · Spatial and temporal scope: defining the study area and time horizon · Alternatives analysis: comparing project designs and siting options · Terms of Reference (ToR): structure, content, and regulatory requirements in Nigeria · Scoping methods: checklists, matrices, expert judgement, and public meetings · Free, Prior, and Informed Consent (FPIC): principles and process · Hands-on lab: produce a scoping checklist and draft ToR for a sample agricultural project

Module 3: Baseline Environmental Surveys | Outcomes: Design a comprehensive environmental and socioeconomic baseline survey · Use GIS to map sensitive environmental receptors and produce baseline condition maps

Air quality baseline: meteorological data, ambient monitoring, and pollution sources · Water quality baseline: surface water and groundwater sampling parameters and standards · Soil and land: sampling, land use mapping, contamination screening · Biodiversity baseline: vegetation surveys, wildlife assessment, and protected species · Noise and vibration: baseline survey methods, equipment, and standards · Socioeconomic baseline: livelihoods, health, cultural heritage, and gender · Community health baseline: disease prevalence, WASH access, and health facilities · GIS in baseline surveys: mapping sensitive receptors, habitats, and land use · Hands-on lab: design a baseline survey plan using GIS and survey methods

 

Module 4: Impact Prediction, Significance & Mitigation | Outcomes: Predict and evaluate impact significance using matrices and criteria · Design an Environmental Management Plan with mitigation hierarchy and monitoring

Types of impacts: direct, indirect, cumulative, transboundary, and long-term · Impact prediction methods: quantitative modelling, expert judgement, and matrices · Leopold matrix: construction, rating, and limitations · Significance evaluation: magnitude, sensitivity, reversibility, duration, and probability · Mitigation hierarchy: avoid, minimise, restore, offset — applying in practice · Environmental Management Plans (EMP): structure, content, and legal requirements · Monitoring and compliance: designing an environmental monitoring programme · Cumulative impact assessment: combined effects of multiple projects · Social impact assessment (SIA): impacts on communities, livelihoods, and cultural heritage

Module 5: Climate Change & Environmental Justice in EIA | Outcomes: Conduct a GHG carbon footprint assessment and climate vulnerability screening for an EIA project · Integrate climate adaptation and mitigation measures into an Environmental Management Plan

Why climate change is now mandatory in EIA: Paris Agreement, NESREA, and World Bank ESF requirements · Climate screening: determining if a project contributes to or is affected by climate change · Greenhouse Gas (GHG) assessment: estimating project carbon footprint — Scope 1, 2, and 3 emissions · Climate vulnerability assessment: identifying climate-related risks to project infrastructure and communities · Climate adaptation measures: incorporating climate resilience into project design and the EMP · Climate mitigation measures: reducing emissions through technology choice and operational design · Just transition and climate justice: ensuring climate measures do not disproportionately burden vulnerable communities · IPCC climate scenarios: using RCP and SSP pathways to project future climate conditions for EIA · Carbon offsetting and nature-based solutions: when and how to use them in development projects · Climate change and biodiversity: compounding ecosystem impacts and resilience considerations · Writing the climate change chapter in an EIA report: required structure, evidence, and disclosures · Hands-on lab: conduct a GHG screening and climate vulnerability assessment for a sample project

 

Module 6: Stakeholder Engagement & Public Participation | Outcomes: Design and conduct stakeholder engagement meeting IAIA and World Bank standards · Produce a consultation report and non-technical summary for an EIA project

Why stakeholder engagement is central to EIA quality and legitimacy · Identifying stakeholders: mapping affected communities, government, and civil society · Public participation methods: community meetings, FGDs, questionnaires, and online · FPIC: principles, process, and documentation requirements · Vulnerable groups: ensuring inclusion of women, youth, elderly, and marginalised · Grievance mechanisms: designing a fair, accessible project grievance system · Documenting engagement: consultation reports, attendance registers, issues log · Non-technical summaries: communicating EIA findings to affected communities · Gender and social inclusion: mainstreaming gender throughout the EIA process

 

Module 7: EIA Report Writing, Review & Capstone | Outcomes: Write a complete EIA report to NESREA and World Bank ESF standards · Review an EIA document critically using standard review criteria

EIA report structure: all required sections — non-technical summary to appendices · Writing the project description: location, design, construction, operation, decommissioning · Writing the environmental baseline: presenting survey data clearly · Writing the impact assessment: linking activities, receptors, impacts, significance, mitigation · Writing the EMP: measures, responsible parties, timelines, and indicators · Writing the monitoring plan: parameters, frequency, methods, and reporting · EIA review criteria: NESREA review process and World Bank quality check framework · Common weaknesses in EIAs: what reviewers look for and how to avoid rejection · Post-EIA monitoring: environmental compliance and adaptive management · Capstone: produce a complete EIA scoping document or executive summary EIA report for a project scenario of your choice

 

Outcomes

Conduct a complete EIA process from screening to report writing to NESREA and World Bank standards · Design baseline surveys, impact matrices, and Environmental Management Plans · Engage stakeholders using IAIA best practice, FPIC principles, and inclusive approaches · Apply the mitigation hierarchy across environmental and social impact categories · Produce professional EIA scoping documents, ToRs, EMPs, and final EIA reports · Achieve a credential aligned to NESREA, World Bank ESF, IFC Performance Standards, and IAIA

 

Certification requirement

Complete all 7 modules, pass a proctored examination (minimum 75%), submit a complete EIA scoping document or executive summary EIA report for a project scenario, and submit a GHG screening and climate vulnerability assessment exercise.

 

Career pathways

Environmental Impact Assessment Practitioner, Environmental Consultant, Environmental Officer (Government/NGO), EIA Reviewer, Environmental Compliance Officer, Social and Environmental Safeguards Specialist, Development Project Advisor. Average starting salary: $40,000–$80,000 USD.

 

Professional Agricultural Economics Consultancy Services

In addition to the CAGRE certification, Ukeh-Adah Alliance Services Ltd offers the following professional consultancy services for NGOs, government agencies, CGIAR centres, development banks, and research institutions

Farm household survey design

Design, ODK programming, enumerator training, and data quality management for agricultural household surveys

 

Food security assessment

FIES, HDDS, HFIAS, and WDDS measurement and analysis — FAO-aligned methodology

 

Willingness to pay studies

Contingent Valuation Method (CVM) and Choice Experiment design, implementation, and analysis

 

Agricultural impact evaluation

RCT and quasi-experimental evaluation of agricultural technology, extension, and market interventions

 

Value chain analysis

Trader and processor surveys, market integration analysis, and gross margin assessment

 

Enumerator training

Training and supervision of field teams for agricultural data collection — CGIAR standards

 

M&E framework design

Theory of change, indicator selection, and M&E plan development for agricultural projects

 

Panel data management

Baseline, midline, and endline data management with attrition analysis and panel retention strategies

 

Agricultural policy briefs

Research synthesis and policy brief writing for CGIAR, FAO, USAID, and government audiences

 

AGRICULTURAL ECONOMICS — YOUR TOOLS, YOUR WAY: PERSONALISED TOOL TRAINING PROGRAMME

Your organisation uses specific tools. We train you in them — not ours.

Agricultural economists, rural development researchers, food security analysts, and M&E professionals work with a wide range of specialist tools — many of them required by specific funding agencies, research institutions, or government systems. CGIAR centres, the World Bank, FAO, USAID, and African governments all have their preferred data platforms and analytical software. We know these tools, we have used them in real field settings, and we can train you and your team in any of them.

Our standard agricultural economics tools — already covered in our certifications

Statistical Analysis: STATA (regression, panel data, PSM, DiD, LATE) · R (agricultural economics packages: AER, plm, MatchIt) · IBM SPSS · EViews (time series for agricultural prices and commodity data) Survey & Data Collection: ODK · KoboToolbox · SurveyCTO · CAPI · CSPro · GPS field mapping Food Security: FIES (FAO) · HDDS · HFIAS · WDDS · WEAI (Women’s Empowerment in Agriculture Index) GIS & Mapping: QGIS · Google Earth Engine · ArcGIS Online · GPS data processing Data Management: Excel advanced · Stata data management · R data wrangling (tidyverse, haven)

Bring your agricultural economics tool — we train you in it

Agricultural development work involves many specialist tools and platforms. Here are tools commonly used by our clients in this sector that we can deliver personalised training in:

Agricultural statistical tools

SAS (used by USDA and FAO) · SAS Enterprise · SPSS AMOS (SEM for adoption studies) · Mplus (multilevel modelling for farm household data) · MLwiN · LIMDEP/NLOGIT (discrete choice models) · Limdep (WTP and choice experiments) · NLOGIT (nested logit) · BIOGEME (discrete choice modelling)

 

Survey & data collection platforms

Survey Solutions — World Bank CAPI platform widely used in LSMS surveys · SurveyCTO advanced customisation · REDCap for agricultural health-nutrition research · Magpi · Fulcrum · ArcGIS Survey123 · KOBO advanced including repeat groups and complex constraints

 

Food security & nutrition tools

WHO Anthro and AnthroPlus (nutritional anthropometry) · FANTA tools (HDDS, HFIAS, WDDS scoring) · FAO FIES Rasch model in R and Stata · SIFSIA food security data tools · IPC (Integrated Food Security Phase Classification) analysis tools

 

Agricultural economics modelling

GAMS (General Algebraic Modelling System) — linear programming for farm optimisation · EPIC crop simulation model · DSSAT (Decision Support System for Agrotechnology Transfer) · IMPACT model (IFPRI) · ENVI for agricultural remote sensing · ArcGIS Pro for precision agriculture

 

Development finance & donor platforms

USAID DevResults · World Bank DeMPA · IFAD RIMS (Results and Impact Management System) · FAO CountrySTAT · FAOSTAT data extraction and analysis · UN Data API tools · OECD.Stat extraction

 

M&E and programme management

DHIS2 for agricultural M&E · CommCare (mobile data for agricultural programmes) · Ona Data · Activity Info · TolaData · DevResults · ODK with external data pulls and choice filter for agricultural commodity lists

 

How to request personalised agricultural economics tool training

Step 1

Tell us your tool and context — what organisation are you with, what project, what dataset, what analytical purpose?

Step 2

We assess your request within 24 hours — Dr. Emmanuel Augustine Uke personally reviews all agricultural economics tool requests given his direct CGIAR field experience.

Step 3

A bespoke training plan is prepared — covering exactly the features, workflows, and outputs you need for your specific project.

Step 4

Training delivered one-on-one or in a small team — on your data, your research questions, and at your pace.

Step 5

Certificate of Tool Training issued on completion.

“From Kano State to Benue, from IITA to your lab — we know agricultural data and we will train you in your tools.”

“Enrol Now — Join Thousands of Students and Researchers Worldwide”

“Get Certified. Build Skills. Change Your Future.”

IITA-CGIAR Research Fellow · CAC Registered · Over 15 Years of Excellence · Globally Recognised Certificates