The purpose of the paper is to study the impact of corporate sustainability practices on the financial performance of companies included in the BIST Sustainability 25 Index. To assess the efficiency and quality of corporate sustainability, general (ESG Disclosure Index) and partial (Environmental Disclosure Index, Social Disclosure Index, and Corporate Governance Disclosure Index) indices were used, calculated based on content analysis of sustainability reports. Based on the two given types of indices and four types of financial performance indicators (return on assets, return on equity, assets turnover ratio, and Tobin’s Q), two types of regression models (GEN models and PART models) were built, and eight analytical models were examined. Company size and leverage were included as control variables in each model. The regression analysis results were contradictory, partially confirming the conclusions of some scientists and refuting the findings of others. A study of GEN models revealed that companies implementing more effective general corporate sustainability practices have a significant positive impact only on return on equity; as for other measures (return on assets, assets turnover ratio, and Tobin’s Q), an insignificant relationship between them and ESG Disclosure Index was found. Results of the PART models analysis revealed a significant positive effect of the Social Disclosure Index on return on equity and assets turnover ratio and a negative relationship between the Corporate Governance Disclosure Index and assets turnover ratio. Using control variables for the two types of models showed a significant negative effect of company size on Tobin’s Q. AcknowledgmentThis study was supported by the Ministry of Education and Culture of Ukraine within the project “Development of a mechanism for the sustainable development of economic systems in the conditions of military operations and post-war recovery of the economy” (Registration number of the project: 0124U000463).

The purpose of the study is to conduct a comparative analysis of the determinants affecting the financial performance of agricultural enterprises in Poland, Slovakia and Ukraine. As the main research method, panel data regression analysis was used to analyze data from 34 Polish, 123 Slovak, and 305 Ukrainian agricultural companies for the period 2017–2020. To analyze the links between financial performance measures and its determinants, nine models were developed based on three selected dependent variables (Return on Assets, Return on Equity, Return on Sales) in each of the countries studied. Seven independent variables were used, such as Leverage, Long-Term Debt to Assets, Short-Term Debt to Assets, Debt to Equity, Current Ratio, Asset Tangibility, Capital Intensity, and two control variables such as Size and Dummy variable for legal form. The most significant impact on the financial performance of agricultural enterprises has: for Polish enterprises – Return on Assets – Leverage and Asset Tangibility, Return on Equity – Debt to Equity and Dummy variable for legal form, Return on Sales – Current Ratio, Capital Intensity, and Size; for Slovak enterprises – Return on Assets – Current Ratio, Return on Equity – Debt to Equity, Return on Sales – Current Ratio, and Capital Intensity; for Ukrainian enterprises – Return on Assets – Leverage and Size, Return on Equity – Debt to Equity, and Current Ratio, Return on Sales – Capital Intensity.

The study is devoted to solving a topical problem related to the deterioration of land quality in Ukraine and in many countries around the world. This article proposes the use of economic and mathematical modelling to optimize the structure of sown areas of crops on the example of the whole of Ukraine in the direction of ensuring the balance of humus in the soil depending on the influence of a number of environmental and economic factors. The formation of the economic and mathematical model was the basis of the research methodology in this work. Based on the use of a systematic approach to assessing the effectiveness of the agricultural land use system, a number of environmental and economic indicators were selected and three groups of restrictions in the field of intensification of agricultural land use were formed. The applied approach made it possible to develop a task to optimize the sown area of crops in order to preserve the quality of land. The results of solving the formed problem showed the need to limit the sown area under crops, the cultivation of which leads to the loss of humus in the soil; in particular, it is proposed to limit the sown area under sunflower. The results of the study allowed us to draw the following conclusions: a positive effect on the quality of soils from the cultivation of annual and perennial grasses was established, which requires an increase in sown areas under these crops; promising indicators for achieving a deficit-free balance of humus in soils during the cultivation of crops have been identified; an algorithm for choosing solutions to ensure balanced use of agricultural land in the agricultural sector has been developed that the presented procedure for choosing solutions will increase the environmental and economic efficiency of agricultural land use; it is established that for the realization of certain goals in the system of land use, the decisive importance should be given to the consideration and coordination of environmental, economic and social interests.

The article seeks describing the benefits and challenges faced by auditors in assessing the effectiveness of public procurement procedures in terms of applying the methodology for calculating efficiency, economy and effectiveness, taking into account the risks of procurement in e-auctions. Quantitative risk parameters are calculated using data of probabilistic indicators of procurement risk assessment according to the ratio of the number of relevant procedures (sub-threshold and above-threshold) to the total number of procurement procedures. Statistical valuation methods are used for the cost risk assessments and calculation of the aggregate risk indicator of public procurement. The calculations are performed using the data of the open e-procurement system ProZorro for all announced procurements in 2018-2019. We analyzed the methods, indicators and the extent to which the study of the public procurement effectiveness via bibliographic and case studies is performed. As a result, the majority of methods cover four components of assessing the public procurement efficiency - targeted efficiency, cost-effectiveness, organizational efficiency, efficiency of budget expenditures for public procurement. This does not provide an assessment of the automated systems’ impact on the procurement procedures results and on possible savings due to the use of certain procurement procedures. To comprehensively assess the procurement efficiency in e-bidding, the authors propose considering four key risks: the risk of cancellation of the procurement procedure, the risk that the procurement procedure will not take place, the risk of appealing the procurement, the risk of disqualification. As a result of risks calculations under the sub-threshold and above-threshold procurement, individual values of risks and their aggregate indicator are determined. This will adjust the scope of audit procedures to verify individual procurements and identify weaknesses in the procurement management system. We believe that the methodology of auditing the procurement effectiveness, taking into account the quantitative and qualitative parameters of procurement risks, will be a useful audit tool to determine the effectiveness of the use of public funds under individual procurements and identify areas of cost-effectiveness for the state budget funds.