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Why do corporate farms survive in Central and Eastern Europe?

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F24%3A101244" target="_blank" >RIV/60460709:41110/24:101244 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0308521X2400115X" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0308521X2400115X</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.agsy.2024.103965" target="_blank" >10.1016/j.agsy.2024.103965</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Why do corporate farms survive in Central and Eastern Europe?

  • Original language description

    This article examines the process of the transformation of agricultural systems in post-communist Central and Eastern European (CEE) countries. It focuses on the survival of large agricultural firms, known as corporate farms, during periods of economic liberalization, privatization, land reform, and the restructuring of economies and the agricultural sector. The survival of corporate farms plays a significant role in driving structural changes within the farming sector and facilitating the transition from centrally planned to market-driven farming systems in the respective countries. OBJECTIVE: The study investigates the factors correlated to the survival of corporate farms based on crosscountry data analysis for 17 CEE countries. The survival of corporate farms can be correlated with a combination of farm-specific characteristics, sector-specific factors within the agricultural industry, country-specific natural and other resource endowments, and external factors related to a conducive economic environment. METHODS: The study examines the viability of corporate farms by utilizing a comprehensive dataset encompassing 17 CEE countries between 2007 and 2019. The accelerated failure time model is employed to estimate the survival probabilities of these farms. The study uses the Nelson-Aalen estimator to calculate the cumulative hazard function and Kaplan-Meier survival function. Additionally, the baseline estimation of the two-level mixed-effects Weibull accelerated failure time model is utilized. Furthermore, estimations are conducted under various assumptions regarding sample restriction to ensure the robustness of the results. RESULTS AND CONCLUSIONS: We find remarkable differences in corporate farm survival rates among 17 CEE countries. We document that legal format, ownership structure, and corporate finance indicators are highly relevant to corporate farm survival. Estimations reveal the non-linear correlation between corporate-farm size and age and their survival. We show that agricultural factor endowments and agricultural trade openness exhibit statistically significant and economically meaningful correlations with the survival probability of the sample farms. SIGNIFICANCE: Farm-, sector- and country-specific factors play a crucial role in agri-food production, as well as regional and global food security. Diverse agricultural system structures may be associated with distinct farm attributes, various agricultural sector- and country-specific factors, and diverse allocations of agricultural resources. Better agricultural factor endowments and a conducive macroeconomic environment can foster comparative advantages and enhance corporate farm viability and survival. The findings of this study may be of significance to scholars and practitioners who are interested in comprehending the shifts in agricultural farm structures within agricultural systems.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    AGRICULTURAL SYSTEMS

  • ISSN

    0308-521X

  • e-ISSN

    0308-521X

  • Volume of the periodical

    218

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    14

  • Pages from-to

    1-14

  • UT code for WoS article

    001290836400001

  • EID of the result in the Scopus database

    2-s2.0-85192929187