Identifying the influence of the distance factor on the level of transaction costs at agricultural processing enterprises

Authors

DOI:

https://doi.org/10.15587/1729-4061.2023.289046

Keywords:

transaction costs, measure of distance, agro-industrial enterprises, modeling, technological and mathematical foundations

Abstract

The object of this study is the transaction costs of agricultural processing enterprises that operate in cooperation with various participants: suppliers of raw materials, buyers of finished products, research enterprises, and other entities. Transaction costs arise at all stages of activity, from the preparation of an agro-processing project to the achievement of the final result.

For this, a simulation modeling system is proposed, including an optimization model that allows estimating the quantitative components of transaction costs. The process of transactions between various participants such as suppliers, customers, and partners is studied using simulation models. To demonstrate the applicability of this model to the example of agro-industrial enterprises, some parameters of transaction costs are modeled when choosing suppliers of raw materials at recommended intervals.

The feasibility of simulating the costs of establishing a relationship with a new partner in the range of 0.5–0.6, and the benefits in the range of 1.05–1.10 has been determined. It has been found that transaction costs associated with raw material suppliers can be saved by 40.0 % in the next 3 years through optimization and digital capabilities.

The presented approach can be useful for a deeper study of the digital environment’s impact on the level of transaction costs in agricultural processing enterprises. Such an analysis will reveal potential opportunities for optimization and cost reduction, which is important for improving the efficiency and competitiveness of these enterprises

Author Biographies

Fuad Ibrahimov, Public Association “Center for Socio-Economic and Environmental Research”

Researcher

Ulviyya Rzayeva, Azerbaijan State University of Economics (UNEC)

PhD on Mathematics, Associated Professor

Department of Digital Technologies and Applied Informatics

Rasul Balayev, Azerbaijan State University of Economics (UNEC)

Doctor of Science in Economics, Professor

Department of Digital Technologies and Applied Informatics

References

  1. Ketokivi, M., Mahoney, J. T. (2017). Transaction Cost Economics as a Theory of the Firm, Management, and Governance. Oxford Research Encyclopedia of Business and Management. doi: https://doi.org/10.1093/acrefore/9780190224851.013.6
  2. Stifel, D. C., Minten, B., Dorosh, P. (2003). Transactions Costs and Agricultural Productivity: Implications of Isolation for Rural Poverty in Madagascar. SSRN Electronic Journal. doi: https://doi.org/10.2139/ssrn.449220
  3. Blanco, C., Raurich, X. (2022). Agricultural composition and labor productivity. Journal of Development Economics, 158, 102934. doi: https://doi.org/10.1016/j.jdeveco.2022.102934
  4. Rindfleisch, A. (2019). Transaction cost theory: past, present and future. AMS Review, 10 (1-2), 85–97. doi: https://doi.org/10.1007/s13162-019-00151-x
  5. Coase, R. H. (1937). The Nature of the Firm. Economica, 4 (16), 386–405. doi: https://doi.org/10.1111/j.1468-0335.1937.tb00002.x
  6. Sgroi, F., Sciancalepore, V. D. (2022). Dynamics of structural change in agriculture, transaction cost theory and market efficiency: The case of cultivation contracts between agricultural enterprises and the food industry. Journal of Agriculture and Food Research, 10, 100396. doi: https://doi.org/10.1016/j.jafr.2022.100396
  7. Yousuf, A. (2017). Transaction Costs: A Conceptual Framework. International Journal of Engineering and Management Sciences, 2 (3), 131–139. doi: https://doi.org/10.21791/ijems.2017.3.13.
  8. Smith, K. A., Bailie, K. (2022). Why Are Food Prices Still Rising? Forbes. Available at: https://www.forbes.com/advisor/personal-finance/why-are-food-prices-still-rising/
  9. Agriculture and Food Security: Casualties of the War in Ukraine. CSİS. Available at: https://www.csis.org/analysis/agriculture-and-food-security-casualties-war-ukraine
  10. Alexander, P., Brown, C., Arneth, A., Finnigan, J., Moran, D., Rounsevell, M. D. A. (2017). Losses, inefficiencies and waste in the global food system. Agricultural Systems, 153, 190–200. doi: https://doi.org/10.1016/j.agsy.2017.01.014
  11. Baraka, B., Mburu, J., Muriithi, B. (2019). Transaction costs magnitudes, market participation, and smallholder profitability in rural-urban vegetable supply chain. International Journal of Vegetable Science, 27 (1), 54–64. doi: https://doi.org/10.1080/19315260.2019.1700204
  12. Fu, W., Zhang, R. (2022). Can Digitalization Levels Affect Agricultural Total Factor Productivity? Evidence From China. Frontiers in Sustainable Food Systems, 6. doi: https://doi.org/10.3389/fsufs.2022.860780
  13. Balayev, R. A., Mirzayev, N. S., Bayramov, H. M. (2021). Sustainability of urbanization processes in the digital environment: food security factors. Acta Scientiarum Polonorum Administratio Locorum, 20 (4), 283–294. doi: https://doi.org/10.31648/aspal.6819
  14. Keusch, F., Sugie, N. (2022). How to Distinguish Between Passive and Active Mobile Data Collection. SAGE Publications, Ltd. doi: https://doi.org/10.4135/9781529608304
  15. Hasanli, Y., Guliyev, G. (2017). Analysis of agricultural products production in Azerbaijan using the Cobb-Douglas function. Statistical News Journal.
  16. Ibrahimov, F., Rzayeva, U., Balayev, R. (2023). Opportunities and perspectives of the digital twins’ conception: the case in agriculture. Eastern-European Journal of Enterprise Technologies, 1 (13 (121)), 102–112. doi: https://doi.org/10.15587/1729-4061.2023.273975
  17. Chintagunta, P. K., Chu, J., Cebollada, J. (2012). Quantifying Transaction Costs in Online/Off-line Grocery Channel Choice. Marketing Science, 31 (1), 96–114. doi: https://doi.org/10.1287/mksc.1110.0678
  18. Coase, R. H. (1984). The New Institutional Economics. Zeitschrift Für Die Gesamte Staatswissenschaft / Journal of Institutional and Theoretical Economics, 140 (1), 229–231. Available at: http://www.jstor.org/stable/40750690
  19. Loch, A., Santato, S., Pérez-Blanco, C. D., Mysiak, J. (2020). Measuring the Transaction Costs of Historical Shifts to Informal Drought Management Institutions in Italy. Water, 12 (7), 1866. doi: https://doi.org/10.3390/w12071866
  20. Nooteboom, B. (1992). Information technology, transaction costs and the decision to “make or buy.” Technology Analysis & Strategic Management, 4 (4), 339–350. doi: https://doi.org/10.1080/09537329208524105
  21. Bloomenthal, A. Asymmetric Information in Economics Explained. Available at: https://www.investopedia.com/terms/a/asymmetricinformation.asp
  22. Wieland, J., Fischer, D. (2019). Transaction Cost Theory and Business Legitimacy. Handbook of Business Legitimacy, 1–21. doi: https://doi.org/10.1007/978-3-319-68845-9_14-1
  23. Crook, T. R., Combs, J. G., Ketchen, D. J., Aguinis, H. (2013). Organizing Around Transaction Costs: What Have We Learned and Where Do We Go from Here? Academy of Management Perspectives, 27 (1), 63–79. doi: https://doi.org/10.5465/amp.2012.0008
  24. Smelser, N. J., Baltes, P. B. (2001). International Encyclopedia of the Social & Behavioral Sciences. Pergamon.
  25. Alaghehband, F. K., Rivard, S., Wu, S., Goyette, S. (2011). An assessment of the use of Transaction Cost Theory in information technology outsourcing. The Journal of Strategic Information Systems, 20 (2), 125–138. doi: https://doi.org/10.1016/j.jsis.2011.04.003
  26. Das, N. (2018). Advantages and disadvantages of Expert Systems. Available at: https://www.ilearnlot.com/expert-system-advantages-disadvantages/34332/
  27. de Rosa, F., De Gloria, A., Jousselme, A.-L. (2019). Analytical games for knowledge engineering of expert systems in support to Situational Awareness: The Reliability Game case study. Expert Systems with Applications, 138, 112800. doi: https://doi.org/10.1016/j.eswa.2019.07.017
  28. Argilés-Bosch, J. M., Garcia-Blandón, J., Ravenda, D. (2022). Cost behavior in e-commerce firms. Electronic Commerce Research. doi: https://doi.org/10.1007/s10660-021-09528-2
  29. Yan, Q., Zhang, Q., Zou, X. (2016). A Cost Optimization Model for Multiresource Leveling Problem without Project Duration Constraint. Discrete Dynamics in Nature and Society, 2016, 1–8. doi: https://doi.org/10.1155/2016/1514959
  30. Micro, small, and medium entrepreneurship in Azerbaijan (2022). Baku.
  31. Su, J., Wei, Y., Wang, S., Liu, Q. (2023). The impact of digital transformation on the total factor productivity of heavily polluting enterprises. Scientific Reports, 13 (1). doi: https://doi.org/10.1038/s41598-023-33553-w
Identifying the influence of the distance factor on the level of transaction costs at agricultural processing enterprises

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Published

2023-10-31

How to Cite

Ibrahimov, F., Rzayeva, U., & Balayev, R. (2023). Identifying the influence of the distance factor on the level of transaction costs at agricultural processing enterprises. Eastern-European Journal of Enterprise Technologies, 5(4 (125), 55–62. https://doi.org/10.15587/1729-4061.2023.289046

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Section

Mathematics and Cybernetics - applied aspects