IDEAS home Printed from https://ideas.repec.org/a/hin/complx/7684185.html
   My bibliography  Save this article

Evolutionary Games in the Agricultural Product Quality and Safety Information System: A Multiagent Simulation Approach

Author

Listed:
  • Xin Su
  • Shengsen Duan
  • Shubing Guo
  • Haolong Liu

Abstract

This paper aims at identifying the key factors to maintain the quality and safety of agricultural products in the agricultural product quality and safety information system (APQSIS). Based on the theoretical framework of information entropy and complexity, this paper uses the dynamic evolutionary game model and the multiagent modeling and simulation to discuss the APQSIS agents’ equilibrium strategies and the effects of their interactive behaviors on the APQSIS evolutionary stability with asymmetric information. The results show that the governmental supervision and intermediary organizations are significant to assuring agricultural product quality and safety (APQS) as well as the effective transmission of APQS information in stable environments with low complexity.

Suggested Citation

  • Xin Su & Shengsen Duan & Shubing Guo & Haolong Liu, 2018. "Evolutionary Games in the Agricultural Product Quality and Safety Information System: A Multiagent Simulation Approach," Complexity, Hindawi, vol. 2018, pages 1-13, March.
    • Handle: RePEc:hin:complx:7684185
    DOI: 10.1155/2018/7684185
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/8503/2018/7684185.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/8503/2018/7684185.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2018/7684185?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
    ---><---

    References listed on IDEAS

    as
    1. Fares, M'hand & Rouviere, Elodie, 2010. "The implementation mechanisms of voluntary food safety systems," Food Policy, Elsevier, vol. 35(5), pages 412-418, October.
    2. Glenn Sheriff, 2005. "Efficient Waste? Why Farmers Over-Apply Nutrients and the Implications for Policy Design," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 27(4), pages 542-557.
    3. You, Liangzhi & Wood, Stanley, 2006. "An entropy approach to spatial disaggregation of agricultural production," Agricultural Systems, Elsevier, vol. 90(1-3), pages 329-347, October.
    4. Fan, Xinghua & Li, Shasha & Tian, Lixin, 2016. "Complexity of carbon market from multi-scale entropy analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 452(C), pages 79-85.
    5. Elsadany, A.A., 2012. "Competition analysis of a triopoly game with bounded rationality," Chaos, Solitons & Fractals, Elsevier, vol. 45(11), pages 1343-1348.
    6. Billio, Monica & Casarin, Roberto & Costola, Michele & Pasqualini, Andrea, 2016. "An entropy-based early warning indicator for systemic risk," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 45(C), pages 42-59.
    7. Starbird, S. Andrew, 2000. "Designing Food Safety Regulations: The Effect Of Inspection Policy And Penalties For Noncompliance On Food Processor Behavior," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(2), pages 1-20, December.
    8. Fanti, Luciano & Gori, Luca & Sodini, Mauro, 2012. "Nonlinear dynamics in a Cournot duopoly with relative profit delegation," Chaos, Solitons & Fractals, Elsevier, vol. 45(12), pages 1469-1478.
    9. Thomas Heckelei & Hendrik Wolff, 2003. "Estimation of constrained optimisation models for agricultural supply analysis based on generalised maximum entropy," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 30(1), pages 27-50, March.
    10. Broughton, Edward I. & Walker, Damian G., 2010. "Policies and practices for aquaculture food safety in China," Food Policy, Elsevier, vol. 35(5), pages 471-478, October.
    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. Tan, Yiheng & Huang, Xiying & Li, Wei, 2023. "Does blockchain-based traceability system guarantee information authenticity? An evolutionary game approach," International Journal of Production Economics, Elsevier, vol. 264(C).
    2. Song Yang & Jincai Zhuang & Aifeng Wang & Yancai Zhang, 2019. "Evolutionary Game Analysis of Chinese Food Quality considering Effort Levels," Complexity, Hindawi, vol. 2019, pages 1-13, November.

    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. Louhichi, Kamel & Ciaian, Pavel & Espinosa, Maria & Colen, Liesbeth & Perni, Angel & Paloma, Sergio, 2015. "The Impact of Crop Diversification Measure: EU-wide Evidence Based on IFM-CAP Model," 2015 Conference, August 9-14, 2015, Milan, Italy 211542, International Association of Agricultural Economists.
    2. Gruber, Lutz F. & West, Mike, 2017. "Bayesian online variable selection and scalable multivariate volatility forecasting in simultaneous graphical dynamic linear models," Econometrics and Statistics, Elsevier, vol. 3(C), pages 3-22.
    3. Terrance Hurley & Jawoo Koo & Kindie Tesfaye, 2018. "Weather risk: how does it change the yield benefits of nitrogen fertilizer and improved maize varieties in sub‐Saharan Africa?," Agricultural Economics, International Association of Agricultural Economists, vol. 49(6), pages 711-723, November.
    4. Chad Lawley & Erik Lichtenberg & Doug Parker, 2009. "Biases in Nutrient Management Planning," Land Economics, University of Wisconsin Press, vol. 85(1), pages 186-200.
    5. Hongxing Liu & Wendong Zhang & Elena Irwin & Jeffrey Kast & Noel Aloysius & Jay Martin & Margaret Kalcic, 2020. "Best Management Practices and Nutrient Reduction: An Integrated Economic-Hydrologic Model of the Western Lake Erie Basin," Land Economics, University of Wisconsin Press, vol. 96(4), pages 510-530.
    6. Carpentier, Alain & Letort, Elodie, 2009. "Modeling acreage decisions within the multinomial Logit framework," Working Papers 211011, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    7. Pérez Domínguez, Ignacio & Britz, Wolfgang & Holm-Müller, Karin, 2009. "Trading schemes for greenhouse gas emissions from European agriculture: A comparative analysis based on different implementation options," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 90(3).
    8. Msangi, Siwa & Howitt, Richard E., 2006. "Estimating Disaggregate Production Functions: An Application to Northern Mexico," 2006 Annual meeting, July 23-26, Long Beach, CA 21080, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Thomas, Alban & Lamine, Claire & Allès, Benjamin & Chiffoleau, Yuna & Doré, Antoine & Dubuisson-Quellier, Sophie & Hannachi, Mourad, 2020. "The key roles of economic and social organization and producer and consumer behaviour towards a health-agriculture-food-environment nexus: recent advances and future prospects," Review of Agricultural, Food and Environmental Studies, Institut National de la Recherche Agronomique (INRA), vol. 101(1), August.
    10. António Xavier & Rui Fragoso & Maria Belém Costa Freitas & Maria Socorro Rosário, 2019. "An Approach Using Entropy and Supervised Classifications to Disaggregate Agricultural Data at a Local Level," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(4), pages 763-779, December.
    11. Valin, Hugo & Havlik, Petr & Mosnier, Aline & Obersteiner, Michael, 2012. "Impacts of Alternative Climate Change Mitigation Policies on Food Consumption under various Diet Scenarios," Conference papers 332253, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    12. Eric Giraud-Héraud & Cristina Grazia & Abdelhakim Hammoudi, 2012. "Explaining the Emergence of Private Standards in Food Supply Chains," Working Papers hal-00749345, HAL.
    13. Anna Maria Fiori & Francesco Porro, 2023. "A compositional analysis of systemic risk in European financial institutions," Annals of Finance, Springer, vol. 19(3), pages 325-354, September.
    14. Tatyana Deryugina & Barrett Kirwan, 2018. "Does The Samaritan'S Dilemma Matter? Evidence From U.S. Agriculture," Economic Inquiry, Western Economic Association International, vol. 56(2), pages 983-1006, April.
    15. Britz, Wolfgang & Linda, Arata, "undated". "How Important Are Crop Shares In Managing Risk For Specialized Arable Farms? A Panel Estimation Of A Programming Model For Three European Regions," 56th Annual Conference, Bonn, Germany, September 28-30, 2016 244801, German Association of Agricultural Economists (GEWISOLA).
    16. Mahadevan, Renuka, 2008. "The high price of sweetness: The twin challenges of efficiency and soil erosion in Fiji's sugar industry," Ecological Economics, Elsevier, vol. 66(2-3), pages 468-477, June.
    17. Gruere, Guillaume & Bouet, Antoine & Mevel, Simon, 2007. "Genetically modified food and international trade: The case of India, Bangladesh, Indonesia, and the Philippines," IFPRI discussion papers 740, International Food Policy Research Institute (IFPRI).
    18. You, Liangzhi & Wood, Stanley & Wood-Sichra, Ulrike & Wu, Wenbin, 2014. "Generating global crop distribution maps: From census to grid," Agricultural Systems, Elsevier, vol. 127(C), pages 53-60.
    19. Anna Jiang & Wanshun Zhang & Feng Zhou & Hong Peng & Xin Liu & Yue Wang & Xiao Zhang, 2023. "Quantitative Assessment of Spatial–Temporal Characteristics of Agricultural Development Level in China: A County-Level Analysis," Sustainability, MDPI, vol. 15(22), pages 1-20, November.
    20. Chen, Weidong & Xiong, Shi & Chen, Quanyu, 2022. "Characterizing the dynamic evolutionary behavior of multivariate price movement fluctuation in the carbon-fuel energy markets system from complex network perspective," Energy, Elsevier, vol. 239(PA).

    More about this item

    Statistics

    Access and download statistics

    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:hin:complx:7684185. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.