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This article presents results of research on liquidity ratios levels in companies operating in agricultural sector. About 356 companies were analyzed in the years 1996-2005. It was concluded that farmers were keeping liquidity ratios at higher levels than suggested in literature (average levels were taken as a measure). Farmers keeping liquidity ratios at lower levels (close to optimal values) were operating in a more effective way. Some of the farmers with higher liquidity ratios levels were driven by conservative, risk averse approach, the others were postponing repayment of their debts depending on collected receivables, leading to payment jams in the agricultural sector. In summary, it was stated that specific character of agricultural company should be assessed as pertaining to organizational and not financial area, and consequently financial liquidity in agricultural companies should be assessed against the optimum value described in literature.
EN
The business activity in enterprises and banks is connected with generating of cash flows. Each cash flow has its own level of liability. The article aim is to analyse the methods of the liquidity identification and to indicate the operations allowing its ruling, together with describing the strategy of the enterprise liquidity managering.
EN
The article presents the results of the analysis of the factors influencing the financial liquidity of the enterprises of food industry in Poland in 2005-2008. The analysis used the proposal to a causal relationship factors influencing the liquidity, where the level of financial liquidity is determined by the structure of assets, rotation of the current liabilities and the financing strategy.
EN
The article presents results of studies of diversification of financial liquidity in European Union farms using FADN data. Moreover, it attempts to establish the factors determining financial liquidity level using econometric methods. The studies demonstrated, that economic activity in agriculture is usually characterised with financial liquidity higher than in non-agricultural sectors. This results from relatively lower engagement of short-term capitals and larger preference for long-term assets. In the light multiple regression models, the main factor determining the level of financial liquidity in farms is working capital management policy. The conducted studies show that its conservative character, determined by longer liabilities cycle and working capital cycle significantly reduces the risk for financial liquidity.
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