"The Financial Performance Of Agricultural Holdings In Romania - Regional Analysis "

Burja, Vasile; Burja, Camelia

doi:10.29302/oeconomica.2015.17.1.6

Cited by 3 publications

(1 citation statement)

References 12 publications

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“…Thus, increasing the output of Ukrainian agricultural enterprises, in particular because of their vertical integration, will not lead to improving their ability to generate returns. A similar result has also been found regarding the impact of CR on all financial performance measures, contradicting to the results of studies by Burja & Burja (2017), Vuković et al (2022), where a significant positive impact of this independent variable was found.…”

Section: Figure 1 the Trend Of Financial Performance Indicators Of Th...contrasting

confidence: 64%

Financial performance determinants of Ukrainian agricultural companies in the pre-war period

Lehenchuk,

Raboshuk,

Zhyhlei

et al. 2023

Agric. resour. econ.

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Purpose. The purpose of the article is to identify the determinants of the financial performance of agricultural companies in Ukraine in the pre-war period. Methodology / approach. Panel data regression analysis, carried out using the GRETL software, was used as a research method. The financial statements of thirty Ukrainian agricultural companies over the defined period 2015–2021 were selected to be data for analysis. Three models were constructed in the article based on the use of three different dependent variables (Return on Assets, Return on Equity, Return on Sales) and seven independent variables (Current Ratio, Capital Intensity, Export Intensity, Leverage, Size, Dummy variable for agricultural sub-sectors, Dummy variable for location). The selection of the mentioned independent variables was logically substantiated by the structure of the financial reports of the Ukrainian agricultural companies and analytical system “You Control”. Results. The study of the determinants of financial performance of the agricultural companies is a widespread area of research among academicians, however, is characterized by quite controversial results. Some of these conclusions were refuted, but certain results were confirmed on the example of Ukrainian enterprises. The results of the panel regression analysis with respect to Models 1-3, partially are in contradiction with the conclusions of other studies regarding the impact of the determinants on the financial performance of agricultural companies. None of the chosen independent variables has a significant effect on all the dependent variables as investigated in the article, namely ROA, ROE, and ROS. This confirms the formulated in the study hypothesis regarding the availability of a unique set of financial performance determinants for agricultural enterprises for each individual country. The independent variables used in the study have the most significant impact on ROA. Primarily, ROA is significantly affected by CAPI (5 % level), EXPI (10 % level), and DVL (5 % level). The results obtained confirm a need for improving regional support and ensuring an access to capital for agricultural enterprises in Ukraine. Originality / scientific novelty. The originality of the conducted research lies in the study of a set of factors that influenced the financial condition of Ukrainian agrarian companies in the pre-war period, considering the peculiarities of the Ukrainian agrarian sector of the economy. Practical value / implications. Investors and financial institutions can benefit from the research results. By recognizing which factors have the most significant impact on financial performance, they can make more informed decisions when considering investments in Ukrainian agricultural companies. Understanding which factors influence financial performance can help in risk management for both agricultural companies and financial institutions.

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Section: Figure 1 the Trend Of Financial Performance Indicators Of Th...contrasting

confidence: 64%

Financial performance determinants of Ukrainian agricultural companies in the pre-war period

Lehenchuk,

Raboshuk,

Zhyhlei

et al. 2023

Agric. resour. econ.

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The specificities of risk identification and express estimation of investment projects in modern conditions

Chechenova

Volykhina

Egorov

2019

BSRR

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Objective: When assessing the risks of an investment project, it is necessary to take into account the uniqueness of each project, which requires the search for completely new solutions, the application and combination of various tools and assessment methods for the effective implementation of the project. The objective is to develop and test an algorithm for express risk assessment of an investment project using an integral risk factor. In order to achieve this the following issues are considered: the development of the risk theory and the main stages of its development, the modern concept of risk and risk classification in the context of investment projects, modern methods for assessing the risks of investment projects and their problems. Next, the concept of an integral risk factor is introduced and an express assessment of risks of a local investment project is carried out using an integral risk factor. Methods: The classical methods of identifying and assessing project risks (the method of expert estimates, the Monte-Carlo simulation method), the comparative method, analysis, and synthesis are used in the study. Results: The basic characteristics of the concept of “risk” inherent in the modern understanding were formulated. A new concept of the integral risk factor and the method of its calculation were proposed. Alternative scenarios for the implementation of the investment project using the integral risk factor were developed. An algorithm for complex risk express assessment of an investment project on a multi-brand dealer auto center construction was developed by means of an integral risk factor and Monte-Carlo simulation method. Practical importance: The developed algorithm can be used by managers to identify and evaluate or carry out an express assessment of complex risks of investment projects in the process of operating real projects, as well as to provide background for developing new and more advanced methods of project risks assessment.

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Analysis of Economic Performance in Agriculture Using Econometric Modeling

Bumbescu

2020

Studia Universitatis „Vasile Goldis” Arad – Economics Series

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Agriculture is a priority sector of the national economy, so the analysis of the economic performance of agricultural holdings in Romania using modern methods, such as econometric modeling, is of particular importance. In this article is made an analysis of economic performance, expressed by ROA and ROE, for the first 500 farms in Romania (ordered by turnover size), over a period of 5 years, the purpose being to provide an answer to a fundamental research question: Which are the economic indicators/variables that significantly influence the economic performance expressed by ROA and ROE? The results of this study highlight the relevance of the econometric modeling applied for performance analysis as well as the main indicators that significantly influence the economic performance of agricultural holdings expressed by ROA and ROE. The paper brings a significant contribution to make correct decisions aimed at the economic performance of the agricultural sector.

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"The Financial Performance Of Agricultural Holdings In Romania - Regional Analysis "

Cited by 3 publications

References 12 publications

Financial performance determinants of Ukrainian agricultural companies in the pre-war period

Financial performance determinants of Ukrainian agricultural companies in the pre-war period

The specificities of risk identification and express estimation of investment projects in modern conditions

Analysis of Economic Performance in Agriculture Using Econometric Modeling

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