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Understanding productivity in Irish and EU agriculture

Maynooth University Department of Economics
βœ“ Fully Funded econometrics data science agricultural sciences economics eu agriculture irish agriculture microeconomics productivity

Explore how resource allocation drives agricultural productivity in Ireland and the EU. This PhD combines micro-econometric analysis with farm survey data to reveal insights impacting sustainability and efficiency.

AI-generated overview

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Why This Research Matters

This research addresses crucial gaps in understanding agricultural productivity determinants at the allocative efficiency level. Its findings will inform policies to enhance sustainability, profitability, and resilience in the EU agri-food sector.

Agricultural Productivity Allocative Efficiency Micro-econometrics Farm-Level Data Sustainability EU Agriculture

Project Description

Productivity in agriculture underpins the sustainability, profitability, and resilience of the agri-food sector. While much research has examined farm-level productivity determinants, relatively little is known about allocative efficiency how effectively resources such as land, labour, and capital are distributed across farms and its role in shaping aggregate productivity, particularly within the EU agricultural context. This PhD will address this gap by combining advanced micro-econometric analysis with farm-level data from the Irish National Farm Survey (NFS) and the EU’s Farm Sustainability Data Network (FSDN). The research will generate new insights into how factors such as farmer ageing, volatility, and the rise of mixed-farming systems influence productivity, efficiency, and sustainability. The project will produce empirical evidence and new understanding of allocative efficiency effects on productivity and sustainability in agricultural sectors, informing policy and practice within Ireland and across the EU Enhancing allocative efficiency and understanding productivity drivers support the sustainability and resilience of the agri-food sector, which is critical for economic and environmental wellbeing in Ireland and the EU.

Entry Requirements

A suitably qualified candidate with a strong background in economics, agricultural economics, econometrics, or a related discipline. Proficiency in quantitative and micro-econometric methods is expected. Candidates must be resident in Ireland and available to pursue their program of research on a full-time basis at Maynooth University for four years. Subject to satisfactory annual academic progression.

How to Apply

Interested candidates should submit a CV and a cover letter outlining their motivation and suitability for the position to Emma.Dillon@teagasc.ie and bruno.morando@mu.ie

Eligibility

UK/Home
EU
International

Supervisor Profile

DB
Dr Bruno Morando
Maynooth University, Department of Economics

Dr Bruno Morando is a researcher at Maynooth University's Department of Economics focused on agricultural economics and econometric modeling. His work employs advanced micro-econometric techniques to analyze productivity and efficiency in agriculture. Dr Morando collaborates closely with industry partners like Teagasc to ensure practical impact of his research findings.