Collecting sustainability data in different organisational settings of the European Farm Accountancy Data Network

Vrolijk, Hans; Poppe, K.J.; Keszthelyi, Szilárd

doi:10.7896/j.1626

Cited by 30 publications

(16 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The most straightforward way to remove this pitfall would be a systematic identification of firms involved in other FQS than organic within EU-wide statistical surveys such as the Farm Accountancy Data Network and the Statistical Business Survey. Furthermore, these surveys would also need to be slightly modified in order to cover the key drivers of carbon footprint: as demonstrated by the FP7 FLINT project (Vrolijk et al, 2016), deriving environmental indicators from the current FADN is not straightforward.…”

Section: Improving the Statistical Surveys Of The Agri-food Sectormentioning

confidence: 99%

The Carbon and Land Footprint of Certified Food Products

Bellassen

Drut

Antonioli

et al. 2021

Journal of Agricultural &Amp; Food Industrial Organization

View full text Add to dashboard Cite

The carbon and land footprint of 26 certified food products – geographical indications and organic products and their conventional references are assessed. This assessment goes beyond existing literature by (1) designing a calculation method fit for the comparison between certified food and conventional production, (2) using the same calculation method and parameters for 52 products – 26 Food Quality Schemes and their reference products – to allow for a meaningful comparison, (3) transparently documenting this calculation method and opening access to the detailed results and the underlying data, and (4) providing the first assessment of the carbon and land footprint of geographical indications. The method used is Life Cycle Assessment, largely relying on the Cool Farm Tool for the impact assessment. The most common indicator of climate impact, the carbon footprint expressed per ton of product, is not significantly different between certified foods and their reference products. The only exception to this pattern are vegetal organic products, whose carbon footprint is 16% lower. This is because the decrease in greenhouse gas emissions from the absence of mineral fertilizers is never fully offset by the associated lower yield. The climate impact of certified food per hectare is however 26% than their reference and their land footprint is logically 24% higher. Technical specifications directly or indirectly inducing a lower use of mineral fertilizers are a key driver of this pattern. So is yield, which depends both on terroir and farming practices. Overall, this assessment reinforces the quality policy of the European Union: promoting certified food is not inconsistent with mitigating climate change.

show abstract

Section: Improving the Statistical Surveys Of The Agri-food Sectormentioning

confidence: 99%

The Carbon and Land Footprint of Certified Food Products

Bellassen

Drut

Antonioli

et al. 2021

Journal of Agricultural &Amp; Food Industrial Organization

View full text Add to dashboard Cite

show abstract

“…In line with the regular FADN data collection, the data collection was organised in different ways in each of the participating countries in terms of who collected the data and how the data were collected (Vrolijk et al, 2016). Collection processes and strategies were designed and collectors were trained to ensure uniform data gathering with respect to the additional risk management indicators.…”

Section: Datamentioning

confidence: 99%

Adoption of risk management strategies in European agriculture

Asseldonk¹,

Tzouramani²,

Ge³

et al. 2016

Stud. Agr. Econ.

Self Cite

View full text Add to dashboard Cite

Given the increased attention to risk management in the European Union's (EU) Common Agricultural Policy (CAP), it is important to monitor and evaluate the rates of adoption by farmers and their determinants over time. Current European agricultural statistics (Farm Accountancy Data Network) capture few indicators that assess such strategies, but complementing data collected during the EU Framework 7 project FLINT have allowed the adoption of risk management strategies and the determinants of farmers' preference for complementary or substitute instruments to be assessed. Adoption rates of risk management instruments such as insurance contracts, price contracts, off-farm income, other types risk of reduction measures and other gainful activities vary signifi cantly across EU Member States and farming types. Econometric analysis indicates that larger farms more often adopt crop insurance, occupational accident insurance, price contracts and diversifi cation but are less likely to adopt credit avoidance and off-farm employment (at a signifi cance level of 1 per cent). For policy analyses these indicators are a step forward for the determination of the net impacts and establishment of counterfactuals in the long term (i.e. time series encompassing also adverse years) for measuring the impact of the CAP at farm level.

show abstract

“…FADN contains harmonised farm-level data across Europe: the data elements to be provided to the European Commission (EC) and bookkeeping principles (such as depreciation) are the same in all countries. The data to be uploaded and the exact definition of each data element are defined in the FADN Farm Return (Vrolijk et al, 2016).…”

Section: Results Of Hungarian Field Test Trials Set Up For Establishimentioning

confidence: 99%

Results of Hungarian field test trials set up for establishing new maximum permitted N dose values

2020

Stud. Agr. Econ.

View full text Add to dashboard Cite

Collecting sustainability data in different organisational settings of the European Farm Accountancy Data Network

Cited by 30 publications

References 8 publications

The Carbon and Land Footprint of Certified Food Products

The Carbon and Land Footprint of Certified Food Products

Adoption of risk management strategies in European agriculture

Results of Hungarian field test trials set up for establishing new maximum permitted N dose values

Contact Info

Product

Resources

About