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Study on Decision-Making Behavior of Effective Distribution of Fresh Agricultural Products After COVID-19 Epidemic

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Business Intelligence and Information Technology (BIIT 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 107))

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Abstract

Under the background of COVID-19, this paper constructs an evolutionary game model of strategic management of logistics enterprises and local governments from cost and revenue to ensure the effective distribution of fresh agricultural products. It analyzes the evolution path of decision-making behavior and the stable parts that promote the model to achieve equilibrium. The results show that the decisions of game players will affect each other, and the final strategy choice is directly related to the input cost, the value-added amplification factor of income, the reward, and punishment. Because the model eventually has two evolutionary stable states, strengthening the cooperation between logistics enterprises and local governments will help to improve the efficiency of the effective distribution of fresh agricultural products and provide a theoretical reference for the effective distribution of fresh agricultural products under other public health events. At the same time, it is also of certain significance to further solve the problem of farmers’ income in the three rural issues.

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Acknowledgments

This work is partly supported by the project supported by the National Social Science Foundation (16BJY125), Heilongjiang philosophy and social sciences research planning project (19JYB026), Key topics in 2020 of the 13th five year plan of Educational Science in Heilongjiang Province (GJB1320276), Project supported by undergraduate teaching leading talent training program of Harbin University of Commerce (201907), Key project of teaching reform and teaching research of Harbin University of Commerce in 2020 (HSDJY202005(Z)), Innovation and entrepreneurship project for college students of Harbin University of Commerce (202010240059), School level scientific research project of Heilongjiang Oriental University (HDFKY-200202), Key entrusted projects of higher education teaching reform in 2020 (SJGZ202 00138).

Author information

Authors and Affiliations

  1. School of Computer and Information Engineering, Harbin University of Commerce, Harbin, 150028, China

    Yu Yang, Xin Rong & Jianjun Li

  2. Heilongjiang Cultural Big Data Theory Application Research Center, Harbin, 150028, China

    Yu Yang, Xin Rong & Jianjun Li

  3. Heilongjiang Key Laboratory of E-Commerce and Information Processing, Harbin, 150028, China

    Yu Yang, Xin Rong & Jianjun Li

  4. East University of Heilongjiang, Harbin, 150066, China

    Fang Yang

Authors
  1. Yu Yang
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  2. Xin Rong
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  3. Jianjun Li
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  4. Fang Yang
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Editor information

Editors and Affiliations

  1. Information Technology Department, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. School of Computer and Information Engineering, Harbin University of Commerce, Harbin, Heilongjiang, China

    Yaoqun Xu

  3. School of Computer and Information Engineering, Harbin University of Commerce, Harbin, Heilongjiang, China

    Zhijie Zhao

  4. Department of Computer Science, Lakehead University, Thunder Bay, ON, Canada

    Sabah Mohammed

  5. School of Computer and Information Engineering, Harbin University of Commerce, Harbin, Heilongjiang, China

    Zhipeng Fan

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Yang, Y., Rong, X., Li, J., Yang, F. (2022). Study on Decision-Making Behavior of Effective Distribution of Fresh Agricultural Products After COVID-19 Epidemic. In: Hassanien, A.E., Xu, Y., Zhao, Z., Mohammed, S., Fan, Z. (eds) Business Intelligence and Information Technology. BIIT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 107. Springer, Cham. https://doi.org/10.1007/978-3-030-92632-8_52

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