ADR UK Research Fellows: Administrative Data | Agricultural Research Collection

Status: Active

The AD|ARC dataset links information on farming activities with de-identified demographic and socio-economic data from farm households, together with control groups of non-farming individuals in rural areas. By combining these datasets, with additional linkages to health data, researchers can generate new insights into the business-family-place dynamic regarding the socio-economic characteristics, business resilience, health and wellbeing of farming communities.

The Research Fellows’ projects will focus on farm household income and resilience, as well as explore their demographic and business profiles to learn how these characteristics influence engagement with support schemes and health outcomes. These findings will deepen our understanding of the challenges faced by farming households, with the potential to inform agricultural and rural policy and improve the wellbeing of farm communities.

Read more about the AD|ARC Research Fellows and their projects below.

Professor Paul Wilson

Farm household resilience, income source and earnings

Paul is a Professor of Agricultural Economics at the University of Nottingham. Paul’s project will estimate and model farm household income, reliance on subsidies, and other income sources in relation to farm household composition and characteristics. The project will compare farm household financial hardship with that of non-farm rural households in England and Wales.  

View project details

This project aims to explore the following research questions:

  1. How does farm household reliance on non-farm earnings differ across regions, farm type, and farm family household composition and characteristics? 
  2. To what extent are different farm-family households reliant on agricultural and other subsidies for their total farm-family household income? 
  3. Do farm-family household financial hardship levels differ substantially from those of non-farm rural households, accounting for type of employment? 

The methodology used in this study:

  • By engaging with farmers, farming organisations and policymakers in workshops and meetings, I will define and refine the research questions of interest, including sharing initial findings with these groups to help refine further research work. 
  • Using Annual Survey of Hours and Earnings (ASHE) data, I will estimate typical earnings for different occupations. Using Farm Business Survey data, I will estimate business profit as a percentage of turnover for different farm types across regions. Together, these results will allow me to join more data to the newly available AD|ARC dataset for England and Wales, creating a new dataset for analysis. 
  • Using findings from ASHE and Farm Business Survey when added to the AD|ARC data, through statistical analysis I will quantify farm household financial sources, reliance, resilience and hardship. This will include analysing farm household financial hardship levels relative to non-farm rural households.   

Funded value: £153, 020 (full economic cost) 

Duration: October 2024 – March 2026 

Dr Claire Hargreaves

Sustaining their family, community and nation: Who are our farming households?

Claire is a Research Fellow at Lancaster University. This project aims to provide a detailed picture of farming families and deliver a new farming-household typology in England and Wales. The farming-household typology will be based on characteristics of the farmers, farm household and farm business, and subsequently identify patterns in their health vulnerabilities and engagement with agricultural policies.   

Project details

This project aims to explore the following research questions:

  1. What are the socio-demographic, economic and business characteristics of farm households? 
  2. To what extent are farm household characteristics specific to the farming community or reflective of rural communities in general? 
  3. What distinct farming household subgroups can be identified, based on farmer, farm household, and farm business characteristics? What kind of farming-household typology, emerges from this subgroup analysis? 
  4. Does farmer engagement with voluntary farm support schemes vary according to sub-group? 
  5. Do the health characteristics of farmers and farming households vary according to sub-groups?  

The methodology used in this study:

  • Using the AD|ARC dataset I will use a mostly descriptive approach to profile farm households in England and Wales. This will be in terms of certain characteristics for:
    • farmers (e.g. farmer age, gender, ethnicity, education)
    • farm households (e.g. household members age, gender, ethnicity, education, employment, individual income, total household income, household composition, number who work on and off the farm)
    • farm businesses (e.g. number of farmers and non-farmers, employed workers, agricultural training, farm activity, area of land, total subsidy payment).
  • These profiles will be compared with those of the rural community, to highlight characteristics specific to the farming community or reflective of rural communities in general. 
  • Through statistical analysis and consultation with farmers, farming organisations, and policymakers, I will group farming households based on farmer, farm household and farm business characteristics to develop a new farming-household typology. Using this newly derived farming-household typology, I will identify patterns around the take up of different agricultural support schemes, and the health and wellbeing of farming households. 
  • The project will be supported by the AD|ARC project team and will engage with farmers, farming organisations and policymakers throughout to help refine the research design, discuss our findings, and ensure policymakers understand the findings. I will hold a knowledge exchange series to enrich impact and foster skills development across the research community. 

Funded value: £189,105

Duration: October 2024 – March 2026 

Categories: Research using linked data, ADR UK Research Fellows, ADR England, ADR Wales, Office for National Statistics, ADR UK Partnership, Climate & sustainability, Health & wellbeing, Housing & communities, Inequality & social inclusion, World of work

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