REGRESSION MODELING OF LIVESTOCK PRODUCTION IN UKRAINE IN THE CONTEXT OF AN INSTITUTIONAL NETWORK ECONOMY

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DOI:

https://doi.org/10.58246/sj-economics.v59i4.706

Keywords:

network economy, livestock sector, competitiveness, institutional support, network governance, digitalization, synergistic effect, sustainable development

Abstract

The paper provides a comprehensive justification for the expediency of forming a network-based institutional framework to ensure the competitive development of the livestock sector under conditions of economic digitalization, deepening globalization processes, and increasing external risks, including military and crisis-related challenges. It is emphasized that the contemporary model of livestock enterprises’ functioning is increasingly based on a network form of organization, which implies close interaction among business entities, governmental and regulatory institutions, research and educational organizations, financial institutions, and local communities. This model ensures the integration of material, financial, informational, and human resources, facilitates the exchange of knowledge and technologies, and enhances the adaptability and resilience of production processes in an unstable environment.

The key theoretical approaches to the interpretation of the network economy are generalized and systematized, in particular the concepts of J. Browning, E. Toffler, and M. Castells, which emphasize the growing role of knowledge, information, and network structures in shaping contemporary economic systems. It is demonstrated that under such conditions competitiveness is determined not so much by the efficiency of individual enterprises as by the quality and intensity of interactions among network participants, their ability to coordinate actions, jointly use resources, and rapidly respond to changes in the external environment.

Special attention is paid to the role of the state, which within the framework of network governance is considered not as a directive regulator but as a coordinator and an “architect of rules” that shapes the regulatory framework, establishes quality and safety standards, defines strategic development priorities, and creates incentives for innovation and cooperation. This approach is consistent with modern European practices of adaptive governance and contributes to enhancing the flexibility and effectiveness of sectoral management.

A structural model of the network-based institutional framework for ensuring the competitive development of the livestock sector is proposed, which includes regulatory, economic, socio-cultural, scientific and technological, and environmental subsystems. It is substantiated that their coordinated and interrelated functioning generates a synergistic effect, activates innovation processes, increases enterprise productivity, promotes the sustainable use of natural resources, and strengthens social cohesion at the local and regional levels. In conclusion, it is proven that the proposed network model of institutional support forms a more resilient and adaptive foundation for the long-term competitive development of the livestock sector under conditions of contemporary global transformations.

References

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Castells, Manuel and Cardoso, Gustavo, eds., (2005) The Network Society: From Knowledge to Policy. Washington, DC: Johns Hopkins Center for Transatlantic Relations,– 434 p URL: https://www.ciidu.org/wp-content/uploads/2019/09/Castells-Manuel-Cardoso-G.-ed.-2005.pdf

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Oliver E. Williamson (2000) The New Institutional Economics: Taking Stock, Looking Ahead Journal of Economic Literature. Vol. 38. №. 3. pp. 595-613 URL: https://www.researchgate.net/publication/4981429_The_New_Institutional_Economics_Take_Stock_Looking_Ahead DOI:10.1257/jel.38.3.595

Toffler A. (1999) Shocks, waves and power in the Digital Age, in Leer A. (Ed.) Masters of the Wired World. Great Britain, Financial Times/Prentice Hall, pp. 22–30

Ugur Turan (2020) A correlation coefficients analysis on innovative sustainable development groups eureka Social and Humanities 1(1):46-55 DOI:10.21303/2504-5571.2020.001130

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Published

2025-12-30

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