IDEAS home Printed from https://ideas.repec.org/a/eee/ecolec/v175y2020ics0921800919316246.html
   My bibliography  Save this article

SYNERGY: A regional bio-economic model analyzing farm-to-farm exchanges and legume production to enhance agricultural sustainability

Author

Listed:
  • Jouan, Julia
  • Ridier, Aude
  • Carof, Matthieu

Abstract

Agricultural specialization has disconnected crop and livestock production in many farms and regions. As a result, crop farms are deficient in nitrogen to fertilize their crops, while livestock farms are deficient in proteins to feed their animals. The increased consumption of nitrogen rich input raised economics and environmental questions. In this study, we tested two mechanisms to reconnect crop and livestock production: increasing legume production and developing farm-to-farm exchanges of crops and manure. To do so, we developed the SYNERGY bio-economic model, which represents specialized farm types in a region and models exchanges between them. Applied to western France, it analyzes economic, technical and environmental impacts.

Suggested Citation

  • Jouan, Julia & Ridier, Aude & Carof, Matthieu, 2020. "SYNERGY: A regional bio-economic model analyzing farm-to-farm exchanges and legume production to enhance agricultural sustainability," Ecological Economics, Elsevier, vol. 175(C).
  • Handle: RePEc:eee:ecolec:v:175:y:2020:i:c:s0921800919316246
    DOI: 10.1016/j.ecolecon.2020.106688
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0921800919316246
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolecon.2020.106688?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Happe, K. & Hutchings, N.J. & Dalgaard, T. & Kellerman, K., 2011. "Modelling the interactions between regional farming structure, nitrogen losses and environmental regulation," Agricultural Systems, Elsevier, vol. 104(3), pages 281-291, March.
    2. Spreen, Thomas H., 2006. "Price Endogenous Mathematical Programming Models and Trade Analysis," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 38(2), pages 1-5, August.
    3. Böcker, Thomas & Britz, Wolfgang & Finger, Robert, 2018. "Modelling the Effects of a Glyphosate Ban on Weed Management in Silage Maize Production," Ecological Economics, Elsevier, vol. 145(C), pages 182-193.
    4. Richard E. Howitt, 1995. "Positive Mathematical Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(2), pages 329-342.
    5. Alexander Gocht & Pavel Ciaian & Maria Bielza & Jean-Michel Terres & Norbert Röder & Mihaly Himics & Guna Salputra, 2017. "EU-wide Economic and Environmental Impacts of CAP Greening with High Spatial and Farm-type Detail," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(3), pages 651-681, September.
    6. Figge, Frank & Thorpe, Andrea Stevenson, 2019. "The symbiotic rebound effect in the circular economy," Ecological Economics, Elsevier, vol. 163(C), pages 61-69.
    7. Kamel Louhichi & Sergio Gomez y Paloma & Hatem Belhouchette & Thomas Allen & Jacques Fabre & María Blanco Fonseca & Roza Chenoune & Szvetlana Acs & Guillermo Flichman, 2013. "Modelling Agri-Food Policy Impact at Farm-household Level in Developing Countries (FSSIM-Dev): Application to Sierra Leone," JRC Research Reports JRC80707, Joint Research Centre.
    8. Bruno Henry Frahan & Jeroen Buysse & Philippe Polomé & Bruno Fernagut & Olivier Harmignie & Ludwig Lauwers & Guido Huylenbroeck & Jef Meensel, 2007. "Positive Mathematical Programming for Agricultural and Environmental Policy Analysis: Review and Practice," International Series in Operations Research & Management Science, in: Andres Weintraub & Carlos Romero & Trond Bjørndal & Rafael Epstein & Jaime Miranda (ed.), Handbook Of Operations Research In Natural Resources, chapter 0, pages 129-154, Springer.
    9. Chopin, Pierre & Doré, Thierry & Guindé, Loïc & Blazy, Jean-Marc, 2015. "MOSAICA: A multi-scale bioeconomic model for the design and ex ante assessment of cropping system mosaics," Agricultural Systems, Elsevier, vol. 140(C), pages 26-39.
    10. Godinot, O. & Carof, M. & Vertès, F. & Leterme, P., 2014. "SyNE: An improved indicator to assess nitrogen efficiency of farming systems," Agricultural Systems, Elsevier, vol. 127(C), pages 41-52.
    11. Janssen, Sander & van Ittersum, Martin K., 2007. "Assessing farm innovations and responses to policies: A review of bio-economic farm models," Agricultural Systems, Elsevier, vol. 94(3), pages 622-636, June.
    12. Britz, Wolfgang & van Ittersum, Martin K. & Oude Lansink, Alfons G.J.M. & Heckelei, Thomas, 2012. "Tools for Integrated Assessment in Agriculture. State of the Art and Challenges," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 1(2), pages 1-26, August.
    13. Kevin Parris, 2011. "Impact of Agriculture on Water Pollution in OECD Countries: Recent Trends and Future Prospects," International Journal of Water Resources Development, Taylor & Francis Journals, vol. 27(1), pages 33-52, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Houda Mazhoud & Fraj Chemak & Hatem Belhouchette & Roza Chenoune, 2022. "A Bio-Economic Model for Improving Irrigated Durum Wheat Performance and Regional Profits under Mediterranean Conditions," Agriculture, MDPI, vol. 12(5), pages 1-25, April.
    2. Weituschat, Chiara Sophia & Pascucci, Stefano & Materia, Valentina Cristiana & Caracciolo, Francesco, 2023. "Can contract farming support sustainable intensification in agri-food value chains?," Ecological Economics, Elsevier, vol. 211(C).
    3. Julia Jouan & Aude Ridier & Matthieu Carof, 2020. "Legume production and use in feed: Analysis of levers to improve protein self-sufficiency from foresight scenarios," Post-Print hal-02907077, HAL.
    4. Catarino, Rui & Therond, Olivier & Berthomier, Jérémy & Miara, Maurice & Mérot, Emmanuel & Misslin, Renaud & Vanhove, Paul & Villerd, Jean & Angevin, Frédérique, 2021. "Fostering local crop-livestock integration via legume exchanges using an innovative integrated assessment and modelling approach based on the MAELIA platform," Agricultural Systems, Elsevier, vol. 189(C).
    5. Stefano Poponi & Gabriella Arcese & Enrico Maria Mosconi & Francesco Pacchera & Olimpia Martucci & Grazia Chiara Elmo, 2021. "Multi-Actor Governance for a Circular Economy in the Agri-Food Sector: Bio-Districts," Sustainability, MDPI, vol. 13(9), pages 1-21, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Julia Jouan & Aude Ridier & Matthieu Carof, 2018. "SYNERGY: a bio economic model assessing the economic and environmental impacts of increased regional protein self-sufficiency," Post-Print hal-01937084, HAL.
    2. Kamel Elouhichi & Pascal Tillie & Aymeric Ricome & Sergio Gomez-Y-Paloma, 2020. "Modelling Farm-household Livelihoods in Developing Economies: Insights from three country case studies using LSMS-ISA data," JRC Research Reports JRC118822, Joint Research Centre.
    3. Kamel Louhichi & Pascal Tillie & Aymeric Ricome & Sergio Gomez y Paloma, 2020. "Modelling Farm-household Livelihoods in Developing Economies Insights from three country case studies using LSMS-ISA data [Modélisation des moyens de subsistance des ménages agricoles dans les écon," Post-Print hal-02544905, HAL.
    4. Gómez-Limón, José A. & Gutiérrez-Martín, Carlos & Riesgo, Laura, 2016. "Modeling at farm level: Positive Multi-Attribute Utility Programming," Omega, Elsevier, vol. 65(C), pages 17-27.
    5. Viaggi, Davide & Raggi, Meri & Gomez y Paloma, Sergio, 2011. "Farm-household investment behaviour and the CAP decoupling: Methodological issues in assessing policy impacts," Journal of Policy Modeling, Elsevier, vol. 33(1), pages 127-145, January.
    6. Britz, Wolfgang & Ciaian, Pavel & Gocht, Alexander & Kanellopoulos, Argyris & Kremmydas, Dimitrios & Müller, Marc & Petsakos, Athanasios & Reidsma, Pytrik, 2021. "A design for a generic and modular bio-economic farm model," Agricultural Systems, Elsevier, vol. 191(C).
    7. Julia Jouan & Julia Heinrichs & Wolfgang Britz & Christoph Pahmeyer, 2019. "Integrated assessment of legume production challenged by European policy interaction: a case-study approach from French and German dairy farms," Working Papers hal-02501428, HAL.
    8. Takahiro Nakashima & Shoko Ishikawa, 2022. "Exploring Farmers’ Expectation toward Farm-Gate Price of Rice in Japan by Positive Mathematical Programming," Sustainability, MDPI, vol. 15(1), pages 1-16, December.
    9. Umed Temurshoev & Marian Mraz & Luis Delgado Sancho & Peter Eder, 2015. "EU Petroleum Refining Fitness Check: OURSE Modelling and Results," JRC Research Reports JRC96207, Joint Research Centre.
    10. Reidsma, Pytrik & Janssen, Sander & Jansen, Jacques & van Ittersum, Martin K., 2018. "On the development and use of farm models for policy impact assessment in the European Union – A review," Agricultural Systems, Elsevier, vol. 159(C), pages 111-125.
    11. Louhichi, Kamel & Gomez y Paloma, Sergio, 2014. "A farm household model for agri-food policy analysis in developing countries: Application to smallholder farmers in Sierra Leone," Food Policy, Elsevier, vol. 45(C), pages 1-13.
    12. Cao, Zhaodan & Zhu, Tingju & Cai, Ximing, 2023. "Hydro-agro-economic optimization for irrigated farming in an arid region: The Hetao Irrigation District, Inner Mongolia," Agricultural Water Management, Elsevier, vol. 277(C).
    13. Kooten, G. Cornelis van, 2013. "Modeling Forest Trade in Logs and Lumber: Qualitative and Quantitative Analysis," Working Papers 149182, University of Victoria, Resource Economics and Policy.
    14. Christian Franco-Crespo & Jose Maria Sumpsi Viñas, 2017. "The Impact of Pricing Policies on Irrigation Water for Agro-Food Farms in Ecuador," Sustainability, MDPI, vol. 9(9), pages 1-18, August.
    15. Maria Espinosa & Kamel Louhichi & Angel Perni & Pavel Ciaian, 2020. "EU‐Wide Impacts of the 2013 CAP Direct Payments Reform: A Farm‐Level Analysis," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(4), pages 695-715, December.
    16. Yeh, D. Adeline & Gomez, Miguel I. & Lin Lawell, C.-Y. Cynthia, 2020. "Sustainable Pest Management Under Uncertainty: A Dynamic Bioeconomic Analysis of Lowbush Blueberry Production," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304326, Agricultural and Applied Economics Association.
    17. Patrick Withey & G. Cornelis van Kooten, 2011. "The Effect of Climate Change on Land Use and Wetlands Conservation in Western Canada: An Application of Positive Mathematical Programming," Working Papers 2011-04, University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group.
    18. Soraya Tanure & Carlos Nabinger & João Luiz Becker, 2015. "Bioeconomic Model of Decision Support System for Farm Management: Proposal of a Mathematical Model," Systems Research and Behavioral Science, Wiley Blackwell, vol. 32(6), pages 658-671, November.
    19. Eigner, Amanda E. & Nuppenau, Ernst-August, 2019. "Applied spatial approach of modelling field size changes based on a consideration of farm and landscape interrelations," Agricultural Systems, Elsevier, vol. 176(C).
    20. Louhichi, Kamel & Flichman, Guillermo & Blanco Fonseca, Maria, 2009. "A generic template for FSSIM," Reports 57463, Wageningen University, SEAMLESS: System for Environmental and Agricultural Modelling; Linking European Science and Society.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecolec:v:175:y:2020:i:c:s0921800919316246. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ecolecon .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.