Associate Professor · agricultural economist · evidence specialist
I am Dr Samuel Awoniyi, a Nigerian agricultural economist at Joseph Ayo Babalola University. My work connects causal research, systematic reviews and meta-analysis, digital and climate-smart agriculture, and practical workflow automation.
Academic profile
Dr Samuel Awoniyi is a Nigerian Associate Professor in the Department of Agricultural Economics at Joseph Ayo Babalola University, Ikeji-Arakeji. He works across research, teaching, policy analysis, agricultural value chains, climate action, evidence synthesis and digital transformation.
Research philosophy
Verify the evidence, make judgment visible, and preserve an auditable path from source to conclusion.
Good research should be methodologically defensible, contextually intelligent, and useful to the people who make decisions — combining empirical design, systematic evidence synthesis and strong research governance.
Research & publications
Current research examines how institutions, technology, climate shocks, and structural inequality shape livelihoods and agricultural transformation. Project status is stated explicitly to separate ongoing work from verified publications.
Nigeria GHS-Panel Wave 5 research on whether digital agricultural information improves post-harvest and market outcomes, using causal treatment-effect methods including ESR, IPWRA and entropy balancing.
A cross-country causal analysis of how renewable-energy expansion reshapes labour outcomes across 48 economies, with attention to skill, gender, fossil dependence and foreign investment.
A Nigeria-focused study of whether digital agricultural services improve smallholder productivity broadly or compound pre-existing inequalities in land, assets, education and market access.
Comparative research on how governance quality and climate exposure interact to shape nutrition outcomes and food-system resilience across sub-Saharan Africa.
Research on post-harvest recovery dynamics and the limits of digital connectivity in rural Nigeria, with emphasis on how resilience changes across seasons and shock-recovery periods.
A PRISMA 2020 systematic review using a structured PCC framework, reproducible multi-database searching, critical appraisal, evidence extraction and narrative or thematic synthesis.
DOI-verified selections from a broader publication record. Working papers and projects above are deliberately separated from published outputs.
Expertise & applied work
Alongside academic research, I design systems that make evidence work more reliable and routine operations more efficient—from systematic-review governance to no-code automations.
Systematic review & meta-analysis
PRISMA 2020-aligned reviews using PICO, SPIDER or PCC frameworks, reproducible multi-database searches, calibrated screening, critical appraisal, structured extraction, thematic synthesis and meta-analysis in R where the evidence permits.
Quantitative & causal research
Applied research using R, Python, Stata, SPSS and SAS, with panel methods, treatment-effect models, instrumental variables, Double Machine Learning and causal forests for adoption, productivity, resilience and inequality questions.
Workflow automation
Automations that connect forms, conditional lead paths, tailored email responses and Airtable records, alongside version-controlled evidence-review systems with frozen decisions, validation checks and auditable handovers.
Development advisory & teaching
Advisory and academic work spanning agribusiness, agricultural value chains, feasibility and investment analysis, monitoring and evaluation, climate-smart agriculture, curriculum design, research methods and responsible AI capacity building.
Relevant engagements include applied research, systematic reviews and meta-analysis, research governance, causal analytics, agricultural policy, curriculum design, responsible AI training and workflow automation. Development assignments and research collaborations have included work connected with the World Bank, USAID/DAI, UNRISD, GCA and FARA.