<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>To make informed decisions, modern society, like modern business, must operate with adequate information about many complex interrelated aspects of its activities. Land use is only one of such aspects. Agricultural lands are of particular importance today. Land data are needed to analyse environmental processes, as well as end unsystematic, uncontrolled use of agricultural land, environmental degradation, destruction of important wetlands, loss of fish diversity and destruction of wildlife habitats. To solve these problems, it is advisable to conduct regular analysis and evaluation of land resources, justification and analysis of factors influencing the agricultural land market in the country. The tasks were solved using multidimensional statistical methods, in particular, factor analysis, which helped to get rid of subjectivity in the choice of factors influencing the market under study. Based on the model of influence of factors on the national market of agricultural land in Ukraine, six main factors were identified, the most influential of which were the components of agricultural development (first factor) and, to a lesser extent, the component of vegetable production and yield (fourth factor). The interrelationships and the degree of influence of the selected factors on the main indicators of the agricultural land market, namely, on the area of purchase and sale plots, the price of purchase and sale plots, and the number of transactions were also analysed.</p>
</abstract>

To make informed decisions, modern society, like modern business, must operate with adequate information about many complex interrelated aspects of its activities. Land use is only one of such aspects. Agricultural lands are of particular importance today. Land data are needed to analyse environmental processes, as well as end unsystematic, uncontrolled use of agricultural land, environmental degradation, destruction of important wetlands, loss of fish diversity and destruction of wildlife habitats. To solve these problems, it is advisable to conduct regular analysis and evaluation of land resources, justification and analysis of factors influencing the agricultural land market in the country. The tasks were solved using multidimensional statistical methods, in particular, factor analysis, which helped to get rid of subjectivity in the choice of factors influencing the market under study. Based on the model of influence of factors on the national market of agricultural land in Ukraine, six main factors were identified, the most influential of which were the components of agricultural development (first factor) and, to a lesser extent, the component of vegetable production and yield (fourth factor). The interrelationships and the degree of influence of the selected factors on the main indicators of the agricultural land market, namely, on the area of purchase and sale plots, the price of purchase and sale plots, and the number of transactions were also analysed.

Statistical Modelling of Factors Influencing the Agricultural Land Market in Ukraine

V.N. Karazіn Kharkiv National University

Department of Statistics, Accounting and Auditing

Latvian Journal of Physics and Technical Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

To make informed decisions, modern society, like modern business, must operate with adequate information about many complex interrelated aspects of its...

Statistical Modelling of Factors Influencing the Agricultural Land Market in Ukraine

Data publikacji: 07 sty 2023

Zakres stron: 52 - 67

DOI: https://doi.org/10.2478/lpts-2022-0047

Słowa kluczowe
Agricultural lands, analysis of the development, factor analysis, land potential, land resources, method of principal components

© 2022 Y. Lazebnyk et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Statistical Modelling of Factors Influencing the Agricultural Land Market in Ukraine

Data publikacji: 07 sty 2023

Zakres stron: 52 - 67

DOI: https://doi.org/10.2478/lpts-2022-0047

Słowa kluczoweAgricultural lands, analysis of the development, factor analysis, land potential, land resources, method of principal components

© 2022 Y. Lazebnyk et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Słowa kluczowe
Agricultural lands, analysis of the development, factor analysis, land potential, land resources, method of principal components