IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i11p6756-d829276.html
   My bibliography  Save this article

Sustainability Monitoring with Robotic Accounting—Integration of Financial and Environmental Farm Data

Author

Listed:
  • Krijn Poppe

    (Wageningen Economic Research, Wageningen University and Research, 2595 BM The Hague, The Netherlands)

  • Hans Vrolijk

    (Wageningen Economic Research, Wageningen University and Research, 2595 BM The Hague, The Netherlands)

  • Nicole de Graaf

    (SOOPS, 1021 KN Amsterdam, The Netherlands)

  • Roeland van Dijk

    (SOOPS, 1021 KN Amsterdam, The Netherlands)

  • Emma Dillon

    (Rural Economy & Development Centre, Teagasc, H65 R718 Athenry, Ireland)

  • Trevor Donnellan

    (Rural Economy & Development Centre, Teagasc, H65 R718 Athenry, Ireland)

Abstract

The production of farm sustainability indicators is vital for all actors in the food chain. This paper shows how robotic accounting could assist in the monitoring and compliance of farm performance, to assess the various aspects of sustainability. We show how financial farm accounting, which is routine on most farms, can be extended to deliver a range of sustainability metrics. Using farm invoices from the Netherlands and Ireland, we show that many invoices contain volume data that can be used to calculate environmental indicators such as pesticide use, mass balances (especially needed in organic farming), material balances of N and P, energy use, antibiotics use, etc. Using a number of illustrative use cases, we show the feasibility of deriving both financial and sustainability data from invoices. Standard algorithms can be used to link the invoice data to bank payment data and code it with a chart of accounts using a simple data and process model. Linking invoices with bank data provides advantages with respect to completeness, reliability, and efficiency. We describe a software tool that provides flexible data management processes that can easily be adapted by the user to collect new data that reflect emerging environmental or social concerns. Data collectors can set up procedures in which new types of data can be acquired or new indicators calculated, avoiding the need for software reprogramming. The digitalisation of invoices, ideally in a standard (UBL) format, is a necessary step to facilitate the process described. This digital format would lead to reduced accounting costs and at the same time could also provide farmers with a dashboard of sustainability indicators. Once invoices are digitalised, accounting costs drop, the potential for errors or omissions is reduced, and the administrative burden for environmental accounting diminishes due to the low marginal cost of data management.

Suggested Citation

  • Krijn Poppe & Hans Vrolijk & Nicole de Graaf & Roeland van Dijk & Emma Dillon & Trevor Donnellan, 2022. "Sustainability Monitoring with Robotic Accounting—Integration of Financial and Environmental Farm Data," Sustainability, MDPI, vol. 14(11), pages 1-16, May.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6756-:d:829276
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/11/6756/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/11/6756/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hans Vrolijk & Krijn Poppe, 2021. "Cost of Extending the Farm Accountancy Data Network to the Farm Sustainability Data Network: Empirical Evidence," Sustainability, MDPI, vol. 13(15), pages 1-13, July.
    2. Krijn Poppe & Lianne van Duinen & Tanja de Koeijer, 2021. "Reduction of Greenhouse Gases from Peat Soils in Dutch Agriculture," EuroChoices, The Agricultural Economics Society, vol. 20(2), pages 38-45, August.
    3. Breembroek, J. A. & Koole, B. & Poppe, K. J. & Wossink, G. A. A., 1996. "Environmental farm accounting: The case of the dutch nutrients accounting system," Agricultural Systems, Elsevier, vol. 51(1), pages 29-40.
    4. Kokina, Julia & Blanchette, Shay, 2019. "Early evidence of digital labor in accounting: Innovation with Robotic Process Automation," International Journal of Accounting Information Systems, Elsevier, vol. 35(C).
    Full references (including those not matched with items on IDEAS)

    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. Uklańska Anna, 2023. "Robotic Process Automation (RPA) – Bibliometric Analysis and Literature Review," Foundations of Management, Sciendo, vol. 15(1), pages 129-140, January.
    2. Bavaresco, Rodrigo Simon & Nesi, Luan Carlos & Victória Barbosa, Jorge Luis & Antunes, Rodolfo Stoffel & da Rosa Righi, Rodrigo & da Costa, Cristiano André & Vanzin, Mariangela & Dornelles, Daniel & J, 2023. "Machine learning-based automation of accounting services: An exploratory case study," International Journal of Accounting Information Systems, Elsevier, vol. 49(C).
    3. Jochen Fähndrich, 2023. "A literature review on the impact of digitalisation on management control," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 34(1), pages 9-65, March.
    4. Krakau, Jan & Feldmann, Carsten & Kaupe, Victor, 2021. "Robotic process automation in logistics: Implementation model and factors of success," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability. Proceedings of the Hamburg International Conf, volume 32, pages 219-256, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    5. Alisa Spiegel & Claudia Heidecke & Julio G. Fournier Gabela & Davit Stepanyan & Mareike Söder & Florian Freund & Alexander Gocht & Martin Banse & Bernhard Osterburg, 2024. "Climate Change Mitigation in Agriculture beyond 2030: Options for Carbon Pricing and Carbon Border Adjustment Mechanisms," EuroChoices, The Agricultural Economics Society, vol. 23(1), pages 19-27, April.
    6. Graham, Mary, 2004. "Environmental efficiency: meaning and measurement and application to Australian dairy farms," Working Papers eco_2004_02, Deakin University, Department of Economics.
    7. Suo, Xuekun & Zhang, Longting & Guo, Rong & Lin, Han & Yu, Mingchuan & Du, Xiuhong, 2024. "The inverted U-shaped association between digital economy and corporate total factor productivity: A knowledge-based perspective," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    8. Wossink, Ada, 2000. "The Failure Of Marketable Permit Systems And Uncertainty Of Environmental Policy: A Switching Regime Model Applied To The Dutch Phosphate Quota Program," 2000 Annual meeting, July 30-August 2, Tampa, FL 21792, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Cathal Buckley & Paul Murphy & David Wall, 2013. "Farm-gate N and P balances and use efficiencies across specialist dairy farms in the Republic Ireland," Working Papers 1302, Rural Economy and Development Programme,Teagasc.
    10. Olena Liakh, 2021. "Accountability through Sustainability Data Governance: Reconfiguring Reporting to Better Account for the Digital Acceleration," Sustainability, MDPI, vol. 13(24), pages 1-18, December.
    11. Zirar, Araz & Ali, Syed Imran & Islam, Nazrul, 2023. "Worker and workplace Artificial Intelligence (AI) coexistence: Emerging themes and research agenda," Technovation, Elsevier, vol. 124(C).
    12. Karmańska Anna, 2023. "Coding Skills in the Automation of Accounting Processes," Folia Oeconomica Stetinensia, Sciendo, vol. 23(1), pages 107-123, June.
    13. Linmei Shang & Jifeng Wang & David Schäfer & Thomas Heckelei & Juergen Gall & Franziska Appel & Hugo Storm, 2024. "Surrogate modelling of a detailed farm‐level model using deep learning," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(1), pages 235-260, February.
    14. Emilio Abad-Segura & Mariana-Daniela González-Zamar, 2020. "Research Analysis on Emerging Technologies in Corporate Accounting," Mathematics, MDPI, vol. 8(9), pages 1-29, September.
    15. Poppe, Krijn J. & van Meijl, Hans, 2004. "Adjustment and Differences in Farm Performance - a Farm Management Perspective from the Netherlands," IAPRAP\IATRC Summer Symposium, Adjusting to Domestic and International Agricultural Reform in Industrial Countries, June 6-7, 2004, Philadelphia, PA, 15765, International Agricultural Policy Reform and Adjustment Project (IAPRAP).
    16. Alfons Weersink & John R. Livernois & Jason F. Shogren & James S. Shortle, 1998. "Economic Instruments and Environmental Policy in Agriculture," Canadian Public Policy, University of Toronto Press, vol. 24(3), pages 309-327, September.
    17. Reinhard Uehleke & Heidi Leonhardt & Silke Hüttel, 2024. "Counterfactual evaluation of two Austrian agri‐environmental schemes in 2014–2018," Agricultural Economics, International Association of Agricultural Economists, vol. 55(1), pages 27-40, January.
    18. Laila Dahabiyeh & Omar Mowafi, 2023. "Challenges of using RPA in auditing: A socio‐technical systems approach," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 30(2), pages 76-86, April.
    19. Marina Johnson & Rashmi Jain & Peggy Brennan-Tonetta & Ethne Swartz & Deborah Silver & Jessica Paolini & Stanislav Mamonov & Chelsey Hill, 2021. "Impact of Big Data and Artificial Intelligence on Industry: Developing a Workforce Roadmap for a Data Driven Economy," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(3), pages 197-217, September.
    20. Vrolijk, Hans & Poppe, Krijn & Keszthelyi, Szilárd, 2016. "Collecting sustainability data in different organisational settings of the European Farm Accountancy Data Network," Studies in Agricultural Economics, Research Institute for Agricultural Economics, vol. 118(3), pages 1-7, December.

    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:gam:jsusta:v:14:y:2022:i:11:p:6756-:d:829276. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.