Examining the relationship between farmer participation in an agri-environment scheme and the quantity and quality of semi-natural habitats on Irish farms

  • Andreas Tsakiridis
  • , Cathal O'Donoghue
  • , Mary Ryan
  • , Paula Cullen
  • , Daire Ó hUallacháin
  • , Helen Sheridan
  • , Jane Stout

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

8 Citations (Scopus)

Abstract

Agri-environment schemes (AESs) have been developed by governments to improve biodiversity, reduce pollution from farming and encourage the provision of agriculture's non-market benefits. Despite the substantial amount of money spent on designing, implementing and monitoring AESs, their environmental effectiveness is ambiguous. The objective of this paper is to investigate the relationship between farmer participation in an AES and the quantity and quality of semi-natural habitats found on farms. This study combines socio-economic survey data from Irish farms in 2012 with farmland habitat data collected in 2015–16 from a subset of participating farms in the original 2012 socio-economic survey. Given the voluntary nature of AESs, a matching technique is applied to control for self-selection bias and test whether farmer participation in an AES is related to the quantity and quality of habitats found on Irish farms. Although farmer participation in an AES is found to be positively related to habitat quantity and quality, we are unable to reject the null hypothesis of no statistically significant differences between habitat quantity and quality of participants in an AES and non-participants. However, results highlight that the share of habitat area (proxy variable for habitat quantity) varies significantly across farm households with different socio-economic characteristics, soil type, farm structures and location. Future policies could scale up the implementation of outcome-based payments or market-based instruments to incentivize farmers in improving their environmental performance. However, such policy improvements would still require the development of robust and transparent monitoring mechanisms.

Original languageEnglish
Article number106284
JournalLand Use Policy
Volume120
DOIs
Publication statusPublished - Sep 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger

Keywords

  • Agri-environment schemes
  • Inverse probability weighting estimator with regression adjustment (IPWRA)
  • Self-selection bias
  • Semi-natural habitats

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