Agric. Econ. - Czech, 2025, 71(7):357-377 | DOI: 10.17221/311/2023-AGRICECON
A study on benefit distribution of agricultural product quality governance under the perspective of digital supply chainOriginal Paper
- 1 School of Management, Harbin University of Commerce, Harbin, P.R. China
- 1 Postdoctoral Research Station of Business Administration, Harbin University of Commerce, Harbin, P.R. China
As the strategy for building a robust agricultural nation gains momentum and agricultural science and technology advances, the quality of agricultural products has seen significant improvement, accompanied by an increase in the economic income of agricultural producers and operators. Therefore, the fair and reasonable implementation of the revenue distribution of the agricultural supply chain is of great significance in improving the quality of agricultural products and ensuring the stable operation of the supply chain. The article focuses on the three main bodies of the agricultural supply chain, namely production and price co-integration enterprises, logistics service enterprises and sales enterprises, and utilises the matrix semi-tensor product to establish the Shapley value revenue allocation model of the interval cooperation game, so as to make the revenue allocation of the governance of agricultural products' quality in the digital supply chain more reasonable and scientific. Finally, numerical examples verify the Shapley value model, demonstrating that this revenue allocation scheme, when applied, can boost the overall supply chain's revenue through cooperative agricultural product quality management, elevate agricultural product quality and market competitiveness, and foster collaboration to ensure the stability of supply chain operations.
Keywords: agricultural product quality and safety; benefit distriution; digital supply chain; interval Shapley value
Received: September 18, 2023; Revised: December 14, 2024; Accepted: February 11, 2025; Prepublished online: July 21, 2025; Published: July 30, 2025 Show citation
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References
- Carmela A.M., Federica B., Francesco B., Marianthi K. (2021): Digitalisation within food supply chains to prevent food waste. Drivers, barriers and collaboration practices. Industrial Marketing Management, 93: 208-220.
Go to original source...
- Chen Y., Pei W., Ma T., Xiao H. (2023): Asymmetric nash bargaining model for peer-to-peer energy transactions combined with shared energy storage. Energy, 278: 127980.
Go to original source...
- Cheng D. (2001): Semi-tensor product of matrices and its application to morgen's problem. Science in China Series: Information Sciences, 44: 195-212.
Go to original source...
- Criss S., Horhota M., Wiles K., Norton J., Hilaire K.J.S., Short M.A., Blomquist K.K. (2020): Food cultures and aging: A qualitative study of grandparents' food perceptions and influence of food choice on younger generations. Public Health Nutrition, 23: 221-230.
Go to original source...
Go to PubMed...
- Dawkins M.S. (2016): Animal welfare and efficient farming: Is conflict inevitable? Animal Production Science, 57: 201-208.
Go to original source...
- Demestichas K., Peppes N., Alexakis T., Adamopoulou E. (2020): Blockchain in agriculture traceability systems: A review. Applied Sciences, 10: 4113.
Go to original source...
- Gan M., Yang S., Li D., Wang M., Chen S., Xie R., Liu J. (2018): A novel intensive distribution logistics network design and profit allocation problem considering sharing economy. Complexity, 2018: 4678358.
Go to original source...
- Gao Y., Leng Y., Shan B. (2022): Control supply chain risks in digital transformation: A new way to improve supply chain resilience. Journal of Organizational and End User Computing (JOEUC), 34: 1-18.
Go to original source...
- Guo P., Wang Y., Li H. (2013): Algebraic formulation and strategy optimisation for a class of evolutionary networked games via semi-tensor product method. Automatica, 49: 3384-3389.
Go to original source...
- Hamidoğlu A. (2024): A game-theoretical approach on the construction of a novel agri-food supply chain model supported by the government. Expert Systems With Applications, 237: 121353.
Go to original source...
- Hamidoğlu A., Gül Ö.M., Kadry S.N. (2024): A game-theoretical approach for the adoption of government-supported blockchain application in the iot-enabled agricultural supply chain. Internet of Things, 26: 101163.
Go to original source...
- Hamidoğlu A., Weber G.W. (2024): A novel nash-based low-carbon implementation in agricultural supply chain management. Journal of Cleaner Production, 449: 141846.
Go to original source...
- Hrustek L. (2020): Sustainability driven by agriculture through digital transformation. Sustainability, 12: 8596.
Go to original source...
- Lim M.K., Li Y., Wang C., Tseng M.L. (2021): A literature review of blockchain technology applications in supply chains: A comprehensive analysis of themes, methodologies and industries. Computers & Industrial Engineering, 154: 107133.
Go to original source...
- Meng F., Li Z., Dong Q., Fu L., Zhang Y. (2023): Profit allocation on a four-echelon supply chain in perspective of cooperative games on augmenting systems. Expert Systems With Applications, 219: 119639.
Go to original source...
- Mukherjee A.A., Singh R.K., Mishra R., Bag S. (2022): Application of blockchain technology for sustainability development in agricultural supply chain: Justification framework. Operations Management Research, 15: 1-16.
Go to original source...
- Qin Y., Xiang L. (2021): Quality improvement of agricultural products supply chain under social preference and CRS by big data analysis. Journal of Global Information Management (JGIM), 30: 1-26.
Go to original source...
- Sha J., Zheng S. (2021): Revenue distribution of hybrid channel supply chain based on modified shapley value with cost. Discrete Dynamics in Nature and Society, 2021: 4405185.
Go to original source...
- Shen Z., Wang S., Boussemart J.P., Hao Y. (2022): Digital transition and green growth in chinese agriculture. Technological Forecasting and Social Change, 181: 121742.
Go to original source...
- Teng Y., Pang B., Zhang M., Guo X. (2022): Driving mechanism of farmers' green production behavior under normalisation of covid-19 prevention and control: A case study in china. Frontiers in Public Health, 10: 826846.
Go to original source...
Go to PubMed...
- Trivelli L., Apicella A., Chiarello F., Rana R., Fantoni G., Tarabella A. (2019): From precision agriculture to industry 4.0: Unveiling technological connections in the agrifood sector. British Food Journal, 121: 1730-1743.
Go to original source...
- Valecce G., Strazzella S., Radesca A., Grieco L.A. (2019): Solarfertigation: Internet of things architecture for smart agriculture. In: Proceedings of the 2019 IEEE International Conference on Communications Workshops (ICC Workshops): 1-6.
Go to original source...
- Wan Z. (2022): The application of big data in the legal improvement of agricultural product quality and safety governance. Acta Agriculture Scandinavica, Section B - Soil & Plant Science, 72: 200-213.
Go to original source...
- Wang B. (2015): The study of enterprise technical alliance comprehensive profit allocation based on orthogonal projection. In: Proceedings of the 2015 Information Technology and Mechatronics Engineering Conference: 33-36.
Go to original source...
- Wang C., Jiang P. (2020): Farmers' willingness to participate in agricultural product safety cogovernance and self-governance in Jiangsu, China: A gender perspective. Journal of Food Protection, 83: 736-744.
Go to original source...
Go to PubMed...
- Wang C., Liu W. (2021): Farmers' attitudes vs. government supervision: Which one has a more significant impact on farmers' pesticide use in China? International Journal of Agricultural Sustainability, 19: 213-226.
Go to original source...
- Wang C., Zhou Z., Yu X., Chen J., Li P., Wang Z. (2023): Research on profit allocation of agricultural products co-delivery based on modified interval shapley value. Sustainability, 15: 3303.
Go to original source...
- Wang L., Qi C., Jiang P., Xiang S. (2022): The impact of blockchain application on the qualification rate and circulation efficiency of agricultural products: A simulation analysis with agent-based modelling. International Journal of Environmental Research and Public Health, 19: 7686.
Go to original source...
Go to PubMed...
- Wang Y., Cheng D. (2017): Stability and stabilisation of a class of finite evolutionary games. Journal of the Franklin Institute, 354: 1603-1617.
Go to original source...
- Wang Y., Cheng D., Liu X. (2019): Matrix expression of shapley values and its application to distributed resource allocation. Science China Information Sciences, 62: 1-11.
Go to original source...
- Xie L., Luo B., Zhong W. (2021): How are smallholder farmers involved in digital agriculture in developing countries: A case study from china. Land, 10: 245.
Go to original source...
- Yin W., Ran W. (2022): Supply chain diversification, digital transformation, and supply chain resilience: Configuration analysis based on fsQCA. Sustainability, 14: 7690.
Go to original source...
- Yuan Y., Tan H., Liu L. (2023): The effects of digital transformation on supply chain resilience: A moderated and mediated model. Journal of Enterprise Information Management, 37: 488-510.
Go to original source...
- Zhao G., Li H., Duan P., Alsaadi F.E. (2020): Survey on applications of semi-tensor product method in networked evolutionary games. Journal of Applied Analysis & Computation, 10: 32-54.
Go to original source...
- Zhao L., Wang C., Gu H., Yue C. (2018): Market incentive, government regulation and the behavior of pesticide application of vegetable farmers in china. Food Control, 85: 308-317.
Go to original source...
- Zhao L., Xue Y., Sun H., Du Y., Chang X., Su J., Li Z. (2023): Benefit allocation for combined heat and power dispatch considering mutual trust. Applied Energy, 345: 121279.
Go to original source...
- Zhou J., Jin Y., Liang Q. (2022): Effects of regulatory policy mixes on traceability adoption in wholesale markets: Food safety inspection and information disclosure. Food Policy, 107: 102218.
Go to original source...
- Zhou J., Yang Z., Li K., Yu X. (2019): Direct intervention or indirect support? The effects of cooperative control measures on farmers' implementation of quality and safety standards. Food Policy, 86: 101728.
Go to original source...
- Zhu S., Feng J.E., Sun L. (2022): Matrix expression of owen values. Asian Journal of Control, 24: 3408-3417.
Go to original source...
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