IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v201y2022ics0308521x22001056.html
   My bibliography  Save this article

Multi-level impacts of climate change and supply disruption events on a potato supply chain: An agent-based modeling approach

Author

Listed:
  • Rahman, Md Mamunur
  • Nguyen, Ruby
  • Lu, Liang

Abstract

The world is experiencing frequent extreme weather events like droughts, snowstorms, and shifting of seasons due to climate change. Increased frequency and severity of these extreme weather events threaten food security because agriculture depends on climate conditions. Impacts of climate change on the agricultural system not only occur at the grower's level, but also cascade to other levels along the supply chain.

Suggested Citation

  • Rahman, Md Mamunur & Nguyen, Ruby & Lu, Liang, 2022. "Multi-level impacts of climate change and supply disruption events on a potato supply chain: An agent-based modeling approach," Agricultural Systems, Elsevier, vol. 201(C).
    • Handle: RePEc:eee:agisys:v:201:y:2022:i:c:s0308521x22001056
    DOI: 10.1016/j.agsy.2022.103469
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X22001056
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agsy.2022.103469?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. Fernandez-Mena, Hugo & Gaudou, Benoit & Pellerin, Sylvain & MacDonald, Graham K. & Nesme, Thomas, 2020. "Flows in Agro-food Networks (FAN): An agent-based model to simulate local agricultural material flows," Agricultural Systems, Elsevier, vol. 180(C).
    2. Rand, William & Rust, Roland T., 2011. "Agent-based modeling in marketing: Guidelines for rigor," International Journal of Research in Marketing, Elsevier, vol. 28(3), pages 181-193.
    3. Song, Shuang & Goh, Jenson C.L. & Tan, Hugh T.W., 2021. "Is food security an illusion for cities? A system dynamics approach to assess disturbance in the urban food supply chain during pandemics," Agricultural Systems, Elsevier, vol. 189(C).
    4. Marc F. Bellemare & Metin Çakir & Hikaru Hanawa Peterson & Lindsey Novak & Jeta Rudi, 2017. "On the Measurement of Food Waste," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(5), pages 1148-1158.
    5. Hiroyasu Inoue & Yasuyuki Todo, 2019. "Firm-level propagation of shocks through supply-chain networks," Nature Sustainability, Nature, vol. 2(9), pages 841-847, September.
    6. Liang Lu & Ruby Nguyen & Md Mamunur Rahman & Jason Winfree, 2021. "Demand Shocks and Supply Chain Resilience: An Agent-Based Modelling Approach and Application to the Potato Supply Chain," NBER Chapters, in: Risks in Agricultural Supply Chains, National Bureau of Economic Research, Inc.
    7. Ruixue Wang & Roderick M. Rejesus & Jesse B. Tack & Joseph V. Balagtas & Andy D. Nelson, 2022. "Quantifying the Yield Sensitivity of Modern Rice Varieties to Warming Temperatures: Evidence from the Philippines," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(1), pages 318-339, January.
    8. Schnaubelt, Matthias, 2019. "A comparison of machine learning model validation schemes for non-stationary time series data," FAU Discussion Papers in Economics 11/2019, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    9. Marchand, Philippe & Carr, Joel A & Dell’Angelo, Jampel & Fader, Marianela & Gephart, Jessica A & Kummu, Matti & Magliocca, Nicholas R & Porkka, Miina & Puma, Michael J & Ratajczak, Zak & Rulli, Maria, 2016. "Reserves and trade jointly determine exposure to food supply shocks," LSE Research Online Documents on Economics 67783, London School of Economics and Political Science, LSE Library.
    10. Andreyeva, T. & Long, M.W. & Brownell, K.D., 2010. "The impact of food prices on consumption: A systematic review of research on the price elasticity of demand for food," American Journal of Public Health, American Public Health Association, vol. 100(2), pages 216-222.
    11. Otto, Christian & Willner, Sven Norman & Wenz, Leonie & Frieler, Katja & Levermann, Anders, 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," OSF Preprints 7yyhd, Center for Open Science.
    12. Otto, C. & Willner, S.N. & Wenz, L. & Frieler, K. & Levermann, A., 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 232-269.
    13. Zhengliang Yang & Xiaoxue Du & Liang Lu & Hernan Tejeda, 2022. "Price and Volatility Transmissions among Natural Gas, Fertilizer, and Corn Markets: A Revisit," JRFM, MDPI, vol. 15(2), pages 1-14, February.
    14. Fabeiro, C. & Martin de Santa Olalla, F. & de Juan, J. A., 2001. "Yield and size of deficit irrigated potatoes," Agricultural Water Management, Elsevier, vol. 48(3), pages 255-266, June.
    15. Ani L. Katchova & Ian M. Sheldon & Mario J. Miranda, 2005. "A dynamic model of oligopoly and oligopsony in the U.S. potato-processing industry," Agribusiness, John Wiley & Sons, Ltd., vol. 21(3), pages 409-428.
    16. Tiziano Distefano & Francesco Laio & Luca Ridolfi & Stefano Schiavo, 2018. "Shock transmission in the International Food Trade Network," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-15, August.
    17. Chun-Sen Ma & Wei Zhang & Yu Peng & Fei Zhao & Xiang-Qian Chang & Kun Xing & Liang Zhu & Gang Ma & He-Ping Yang & Volker H. W. Rudolf, 2021. "Climate warming promotes pesticide resistance through expanding overwintering range of a global pest," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    18. Ligon, Ethan, 2003. "Optimal risk in agricultural contracts," Agricultural Systems, Elsevier, vol. 75(2-3), pages 265-276.
    19. Sarah Yini Gao & David Simchi-Levi & Chung-Piaw Teo & Zhenzhen Yan, 2019. "Disruption Risk Mitigation in Supply Chains: The Risk Exposure Index Revisited," Operations Research, INFORMS, vol. 67(3), pages 831-852, May.
    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. Tsega Y. Melesse & Chiara Franciosi & Valentina Di Pasquale & Stefano Riemma, 2023. "Analyzing the Implementation of Digital Twins in the Agri-Food Supply Chain," Logistics, MDPI, vol. 7(2), pages 1-17, June.
    2. Xiaoxue Du & Levan Elbakidze & Liang Lu & R. Garth Taylor, 2022. "Climate Smart Pest Management," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    3. Aluwani Tagwi, 2022. "The Impacts of Climate Change, Carbon Dioxide Emissions (CO 2 ) and Renewable Energy Consumption on Agricultural Economic Growth in South Africa: ARDL Approach," Sustainability, MDPI, vol. 14(24), pages 1-25, December.
    4. Qin, Meng & Su, Chi-Wei & Umar, Muhammad & Lobonţ, Oana-Ramona & Manta, Alina Georgiana, 2023. "Are climate and geopolitics the challenges to sustainable development? Novel evidence from the global supply chain," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 748-763.

    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. Matteo Coronese & Davide Luzzati, 2022. "Economic impacts of natural hazards and complexity science: a critical review," LEM Papers Series 2022/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    2. Maureen S. Golan & Laura H. Jernegan & Igor Linkov, 2020. "Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic," Environment Systems and Decisions, Springer, vol. 40(2), pages 222-243, June.
    3. Hiroyasu Inoue & Yasuyuki Todo, 2020. "The propagation of economic impacts through supply chains: The case of a mega-city lockdown to prevent the spread of COVID-19," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-10, September.
    4. Hiroyasu Inoue & Yohsuke Murase & Yasuyuki Todo, 2021. "Do economic effects of the anti-COVID-19 lockdowns in different regions interact through supply chains?," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-19, July.
    5. Dabo Guan & Daoping Wang & Stephane Hallegatte & Steven J. Davis & Jingwen Huo & Shuping Li & Yangchun Bai & Tianyang Lei & Qianyu Xue & D’Maris Coffman & Danyang Cheng & Peipei Chen & Xi Liang & Bing, 2020. "Global supply-chain effects of COVID-19 control measures," Nature Human Behaviour, Nature, vol. 4(6), pages 577-587, June.
    6. Daoping Wang & Ottar N. Bjørnstad & Tianyang Lei & Yida Sun & Jingwen Huo & Qi Hao & Zhao Zeng & Shupeng Zhu & Stéphane Hallegatte & Ruiyun Li & Dabo Guan & Nils C. Stenseth, 2023. "Supply chains create global benefits from improved vaccine accessibility," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    7. Chunzhu Wei & Mo Zhang & Wei Chen & Yong Ge & Daoping Wang & Die Zhang & Desheng Xue & Qiuming Cheng & Changxiu Cheng & Wenguang Zhang, 2023. "After the pandemic: the global seafood trade market forecasts in 2030," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    8. Cailin Wang & Jidong Wu & Xin He & Mengqi Ye & Wenhui Liu & Rumei Tang, 2018. "Emerging Trends and New Developments in Disaster Research after the 2008 Wenchuan Earthquake," IJERPH, MDPI, vol. 16(1), pages 1-19, December.
    9. David Nortes Martínez & Frédéric Grelot & Pauline Bremond & Stefano Farolfi & Juliette Rouchier, 2021. "Are interactions important in estimating flood damage to economic entities? The case of wine-making in France," Post-Print hal-03609616, HAL.
    10. Laura M. Canevari‐Luzardo & Frans Berkhout & Mark Pelling, 2020. "A relational view of climate adaptation in the private sector: How do value chain interactions shape business perceptions of climate risk and adaptive behaviours?," Business Strategy and the Environment, Wiley Blackwell, vol. 29(2), pages 432-444, February.
    11. Antonio Zavala-Alcívar & María-José Verdecho & Juan-José Alfaro-Saiz, 2020. "A Conceptual Framework to Manage Resilience and Increase Sustainability in the Supply Chain," Sustainability, MDPI, vol. 12(16), pages 1-38, August.
    12. Inoue, Hiroyasu & Todo, Yasuyuki, 2017. "Firm-level simulation of supply chain disruption triggered by actual and predicted earthquakes," MPRA Paper 82920, University Library of Munich, Germany, revised 22 Feb 2017.
    13. Kairui Feng & Min Ouyang & Ning Lin, 2022. "Tropical cyclone-blackout-heatwave compound hazard resilience in a changing climate," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    14. Magnus Benzie & Åsa Persson, 2019. "Governing borderless climate risks: moving beyond the territorial framing of adaptation," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 19(4), pages 369-393, October.
    15. Chris Shughrue & Karen C. Seto, 2018. "Systemic vulnerabilities of the global urban-industrial network to hazards," Climatic Change, Springer, vol. 151(2), pages 173-187, November.
    16. Fanny Groundstroem & Sirkku Juhola, 2021. "Using systems thinking and causal loop diagrams to identify cascading climate change impacts on bioenergy supply systems," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 26(7), pages 1-48, October.
    17. Quante, Lennart & Otto, Christian & Willner, Sven Norman & Middelanis, Robin & Levermann, Anders, 2023. "Under economic stress rational behavior may yield increased consumption of pricier goods," OSF Preprints n2tqh, Center for Open Science.
    18. Md. Abdul Moktadir & Sanjoy Kumar Paul & Anil Kumar & Sunil Luthra & Syed Mithun Ali & Razia Sultana, 2023. "Strategic drivers to overcome the impacts of the COVID-19 pandemic: implications for ensuring resilience in supply chains," Operations Management Research, Springer, vol. 16(1), pages 466-488, March.
    19. Taberna, Alessandro & Filatova, Tatiana & Roventini, Andrea & Lamperti, Francesco, 2022. "Coping with increasing tides: Evolving agglomeration dynamics and technological change under exacerbating hazards," Ecological Economics, Elsevier, vol. 202(C).
    20. Niels Bugert & Rainer Lasch, 2023. "Analyzing upstream and downstream risk propagation in supply networks by combining Agent-based Modeling and Bayesian networks," Journal of Business Economics, Springer, vol. 93(5), pages 859-889, July.

    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:agisys:v:201:y:2022:i:c:s0308521x22001056. 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/agsy .

    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.