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Generating cropping schemes from FADN data at the farm and territorial scale

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  • Bazzani, Guido M.
  • Spadoni, Roberta

Abstract

The paper presents an innovative approach to cropping scheme classification based on fad n data with two main goals. First, the identification at the regional level (NUTS 2) of land use patterns common to similar farms defined ‘group cropping scheme’. Second, the farm-level construction of farm cropping schemes, which expand the observed crop mix and identify suitable variation ranges considering the farm production context. The schemes are based on the observed behaviour of homogeneous farms and capture their common structural characteristics regarding land use.The schemes can be used at the territorial scale to analyse landuse trends and patterns over time. At the farm level, the method is designed to analyse short-term adaptations and is suitable to be used, together with other data, in mathematical programming models to run policy analysis exercises. At this latter scale, crop substitution within a scheme allows the set of eligible crops to be expanded while remaining linked to the observed behaviour on a spatial basis.The paper applies the methodology to identify and quantify the cropping schemes using FADN data on Italian farms specialising in annual field crops. An algorithm implemented in gams automates the process. Results confirm the validity of the method and open a field of research for future applications.

Suggested Citation

  • Bazzani, Guido M. & Spadoni, Roberta, 2021. "Generating cropping schemes from FADN data at the farm and territorial scale," Economia agro-alimentare / Food Economy, Italian Society of Agri-food Economics/Società Italiana di Economia Agro-Alimentare (SIEA), vol. 23(3), December.
    • Handle: RePEc:ags:sieaea:320687
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    1. Purola, Tuomo & Lehtonen, Heikki, 2020. "Evaluating profitability of soil-renovation investments under crop rotation constraints in Finland," Agricultural Systems, Elsevier, vol. 180(C).
    2. A. Bezat-Jarzębowska & W. Rembisz & A. Sielska, 2014. "Developing of Modelling Tool for Policy and Economic Rent in Agriculture," Cooperative Management, in: Constantin Zopounidis & Nikos Kalogeras & Konstadinos Mattas & Gert Dijk & George Baourakis (ed.), Agricultural Cooperative Management and Policy, edition 127, chapter 0, pages 87-107, Springer.
    3. Sulewski, Piotr & Kłoczko-Gajewska, Anna, 2018. "Development of the sustainability index of farms based on surveys and FADN sample," Problems of Agricultural Economics / Zagadnienia Ekonomiki Rolnej 276476, Institute of Agricultural and Food Economics - National Research Institute (IAFE-NRI).
    4. Dell'Aquila, Crescenzo & Cimino, Orlando, 2012. "Stabilization of farm income in the new risk management policy of the EU: a preliminary assessment for Italy through FADN data," 126th Seminar, June 27-29, 2012, Capri, Italy 133455, European Association of Agricultural Economists.
    5. Frank Offermann & Anne Margarian, 2014. "Modelling Structural Change in Ex-Ante Policy Impact Analysis," Cooperative Management, in: Constantin Zopounidis & Nikos Kalogeras & Konstadinos Mattas & Gert Dijk & George Baourakis (ed.), Agricultural Cooperative Management and Policy, edition 127, chapter 0, pages 151-162, Springer.
    6. Purola, Tuomo & Lehtonen, Heikki & Liu, Xing & Tao, Fulu & Palosuo, Taru, 2018. "Production of cereals in northern marginal areas: An integrated assessment of climate change impacts at the farm level," Agricultural Systems, Elsevier, vol. 162(C), pages 191-204.
    7. Roberto Cagliero & Rita Iacono & Francesco Licciardo & Tiziana Prandi & Novella Rossi, 2018. "La montagna e le zone svantaggiate nei Programmi di Sviluppo Rurale: una valutazione delle indennit? compensative attraverso la rica," Economia agro-alimentare, FrancoAngeli Editore, vol. 20(3), pages 479-501.
    8. Klepacka, Anna M. & Florkowski, Wojciech J. & Revoredo-Giha, Cesar, 2019. "The expansion and changing cropping pattern of rapeseed production and biodiesel manufacturing in Poland," Renewable Energy, Elsevier, vol. 133(C), pages 156-165.
    9. Jørgen D. Jensen & Jens E. Ørum, 2014. "Economic Incentives and Alternative Nitrogen Regulation Schemes: A Spatial Sector Economic Modelling Approach," Cooperative Management, in: Constantin Zopounidis & Nikos Kalogeras & Konstadinos Mattas & Gert Dijk & George Baourakis (ed.), Agricultural Cooperative Management and Policy, edition 127, chapter 0, pages 267-280, Springer.
    10. Liu, Xing & Lehtonen, Heikki & Purola, Tuomo & Pavlova, Yulia & Rötter, Reimund & Palosuo, Taru, 2016. "Dynamic economic modelling of crop rotations with farm management practices under future pest pressure," Agricultural Systems, Elsevier, vol. 144(C), pages 65-76.
    11. Robert Finger & Nadja El Benni, 2014. "Alternative Specifications of Reference Income Levels in the Income Stabilization Tool," Cooperative Management, in: Constantin Zopounidis & Nikos Kalogeras & Konstadinos Mattas & Gert Dijk & George Baourakis (ed.), Agricultural Cooperative Management and Policy, edition 127, chapter 0, pages 65-85, Springer.
    12. Mohring, Anke & Zimmermann, Albert & Mack, Gabriele & Mann, Stefan & Ferjani, Ali & Gennaio, Maria-Pia, 2010. "Modelling structural change in the agricultural sector – An Agent-based approach using FADN data from individual farms," 114th Seminar, April 15-16, 2010, Berlin, Germany 61094, European Association of Agricultural Economists.
    13. Adam Was & Paweł Kobus, 2014. "Measuring Biodiversity of Cropping Structure with the Use of FADN Data," Cooperative Management, in: Constantin Zopounidis & Nikos Kalogeras & Konstadinos Mattas & Gert Dijk & George Baourakis (ed.), Agricultural Cooperative Management and Policy, edition 127, chapter 0, pages 389-399, Springer.
    14. Guido M. Bazzani & Giuliano Vitali & Concetta Cardillo & Maurizio Canavari, 2021. "Using FADN Data to Estimate CO 2 Abatement Costs from Italian Arable Crops," Sustainability, MDPI, vol. 13(9), pages 1-20, May.
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