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Decision support systems adoption in pesticide management

Author

Listed:
  • Jotham Akaka

    (LEE & Department of Economics, Universitat Jaume I, Castellón, Spain)

  • Aurora García-Gallego

    (LEE & Department of Economics, Universitat Jaume I, Castellón, Spain)

  • Nikolaos Georgantzís

    (WSB Lab and School of Wine and Spirits Business, Burgundy School of Business, Dijon, France and LEE and Department of Economics, Universitat Jaume I, Castellón, Spain)

  • Jean-Christian Tisserand

    (School of Wine and Spirits Business, Burgundy School of Business, Dijon, France)

Abstract

This paper investigates the determinants of trust and adoption of Decision Support Systems (DSS) among farmers in the European Union. The main interest is the role played by the characteristics of farms and farmers in the decision to use a DSS for pesticide management. A questionnaire was distributed among farmers in 12 European countries to elicit several personal as well as farm-specific characteristics relevant to the adoption of DSS. The data reveals that farm size, the type of farm, and the farmer’s willingness to pay are predictors of the decision’s farmer of using a DSS. Specifically, larger farms and farms specialized in the production of vegetables are more likely to use a DSS for pest management. Moreover, it is found that the type of communication (proxied by advertising and product demonstrations) a farmer has been exposed to and the type of farm, have a significant impact on farmers’ trust in DSS. Interestingly, being exposed to demonstration sessions has a positive effect on using DSS, while advertising has a negative impact. Biodynamic and integrated farms show a significantly higher level of trust in DSS. These results suggest avenues for enhancing adoption rates.

Suggested Citation

  • Jotham Akaka & Aurora García-Gallego & Nikolaos Georgantzís & Jean-Christian Tisserand, 2021. "Decision support systems adoption in pesticide management," Working Papers 2021/08, Economics Department, Universitat Jaume I, Castellón (Spain).
    • Handle: RePEc:jau:wpaper:2021/08
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    References listed on IDEAS

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    1. Auld, Bruce A. & Tisdell, Clem A., 1987. "Economic thresholds and response to uncertainty in weed control," Agricultural Systems, Elsevier, vol. 25(3), pages 219-227.
    2. Cox, P. G., 1996. "Some issues in the design of agricultural decision support systems," Agricultural Systems, Elsevier, vol. 52(2-3), pages 355-381.
    3. Eastwood, C.R. & Chapman, D.F. & Paine, M.S., 2012. "Networks of practice for co-construction of agricultural decision support systems: Case studies of precision dairy farms in Australia," Agricultural Systems, Elsevier, vol. 108(C), pages 10-18.
    4. Kuehne, Geoff & Llewellyn, Rick & Pannell, David J. & Wilkinson, Roger & Dolling, Perry & Ouzman, Jackie & Ewing, Mike, 2017. "Predicting farmer uptake of new agricultural practices: A tool for research, extension and policy," Agricultural Systems, Elsevier, vol. 156(C), pages 115-125.
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    More about this item

    Keywords

    Agriculture; Decision Support Systems; Integrated Pesticide Management;
    All these keywords.

    JEL classification:

    • D9 - Microeconomics - - Micro-Based Behavioral Economics
    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture

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