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Evaluation and design of innovation policies in the agro-food sector: An application of multilevel self-regulating agents

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  • Gagliardi, Dimitri
  • Niglia, Francesco
  • Battistella, Cinzia

Abstract

The aim of this paper is to explore the possibilities offered by agent-base modelling techniques in evaluating the impact of alternative sets of innovation policies on the system where these are implemented and on its actors. The policies selected for this exercise are inspired by the Regional Government's policy document — the Programme for Rural Development (2007–2013) of the Puglia Region, Italy. These regard, inter alia, the promotion of organic agriculture and GMO-free cultivar, the introduction of a zero-food-miles strategy and new regulations and controls to prevent food adulterations. The paper presents and discusses the results of the simulations showing a trade-off between alternative growth paths and the overall structure of the sector. A “light-touch approach” affects positively smallholdings, associations of micro-small enterprises and the local retail sector by promoting shorter and more rewarding routes to markets for food products. Pursuing the policies more aggressively, will shift the focus of economic activities towards larger enterprises in the primary sector, manufacturing and business services and towards the large distribution for retail, while smallholdings and associations of micro-small enterprises will be increasingly marginalised.

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  • Gagliardi, Dimitri & Niglia, Francesco & Battistella, Cinzia, 2014. "Evaluation and design of innovation policies in the agro-food sector: An application of multilevel self-regulating agents," Technological Forecasting and Social Change, Elsevier, vol. 85(C), pages 40-57.
    • Handle: RePEc:eee:tefoso:v:85:y:2014:i:c:p:40-57
    DOI: 10.1016/j.techfore.2013.10.015
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    Cited by:

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    2. Armendàriz, Vanessa & Armenia, Stefano & Atzori, Alberto Stanislao & Romano, Angelo, 2015. "Analyzing Food Supply and Distribution Systems using complex systems methodologies," 2015 International European Forum (144th EAAE Seminar), February 9-13, 2015, Innsbruck-Igls, Austria 206211, International European Forum on System Dynamics and Innovation in Food Networks.
    3. Neda Baniasadi & Davoud Samari & Seyyed Jamal Farajollah Hosseini & Maryam Omidi Najafabadi, 2021. "Strategic study of total innovation management and its relationship with marketing capabilities in palm conversion and complementary industries," Journal of Innovation and Entrepreneurship, Springer, vol. 10(1), pages 1-14, December.
    4. Panzone, Luca A. & Lemke, Fred & Petersen, Henry L., 2016. "Biases in consumers' assessment of environmental damage in food chains and how investments in reputation can help," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 327-337.
    5. Jarský, Vilém, 2015. "Analysis of the sectoral innovation system for forestry of the Czech Republic. Does it even exist?," Forest Policy and Economics, Elsevier, vol. 59(C), pages 56-65.
    6. Cui Huang & Chao Yang & Jun Su, 2018. "Policy change analysis based on “policy target–policy instrument” patterns: a case study of China’s nuclear energy policy," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1081-1114, November.
    7. Roberto Calisti & Primo Proietti & Andrea Marchini, 2019. "Promoting Sustainable Food Consumption: An Agent-Based Model About Outcomes of Small Shop Openings," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 22(1), pages 1-2.

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