Statistical Modelling of Factors Influencing the Agricultural Land Market in Ukraine
Author:
Lazebnyk Y.1, Korepanov O.1, Chala T.1, Korepanov G.1, Chernenko D.1, Plumite U.2, Komlieva M.1
Affiliation:
1. V.N. Karazіn Kharkiv National University , Department of Statistics, Accounting and Auditing , pl. Svobody, 4, 61022 , Kharkiv , Ukraine Riga Technical University , 2. Institute of Civil Engineering and Real Estate Economics , 6-210 Kalnciema Str., LV-1048 , Riga , Latvia
Abstract
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.
Publisher
Walter de Gruyter GmbH
Subject
Psychiatry and Mental health,Neuropsychology and Physiological Psychology
Reference18 articles.
1. 1. Balestri, S., & Maggioni, M. A. (2017). This Land is my Land! Large-Scale Land Acquisitions and Conflict Events in Sub-Saharan Africa. 2017 World Bank Conference on Land and Poverty. Washington DC. 20–24 March 2017. Available at https://www.researchgate.net/publication/314871867_This_land_is_my_land_Large-Scale_Land_Acquisitions_and_conflict_events_in_Sub-Saharan_Africa 2. 2. Carter, S., Manceur, A. M., Seppelt, R., Hermans-Neumann, K., Herold, M., & Verchot, L. (2017). Large-Scale Land Acquisitions and REDD+: A Synthesis of Conflicts and Opportunities. Environmental Research Letters, 12 (3). Available at https://www.cifor.org/publications/pdf_files/articles/ACarter1802.pdf10.1088/1748-9326/aa6056 3. 3. Cherniak, O. I., & Kudinenko, M. Ya. (2002). Analysis and Forecast of Ukraine’s GDP Dynamics Using the Method SSA (in Ukrainian). Ekonomika i prohnozuvannia, 4, 134–147. Institute of Economics and Forecasting. Kyiv [Online]. Available at https://econom.univ.kiev.ua/wp-content/uploads/science/articles/Chernyak_OI/Analiz_ta_prognoz_dynamiky_VVP_Urainy_za_dopomogou_metody_SSA.pdf 4. 4. Corbera, E., Hunsberger, C., & Vaddhanaphuti, C. (2017). Climate Change Policies, Land Grabbing and Conflict: Perspectives from Southeast Asia. Canadian Journal of Development Studies, 38 (3), 297–304.10.1080/02255189.2017.1343413 5. 5. Han, J., Jiang, M., Zhang, Х., & Lu, X. (2021). Knowledge Mapping Analysis of Transnational Agricultural Land Investment Research. Land Use Policy, 10 (12). Available at https://www.mdpi.com/2073-445X/10/12/1374/htm10.3390/land10121374
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