The main purpose of this paper was to examine the causative link between Working Capital Management (WCM) and Return On Assets (ROA) in milk processing companies. Days Sales of Inventory (DSI), Days Sales Outstanding (DSO), Days Payable Outstanding (DPO) and the Cash Conversion Cycle (CCC) were used as WCM metrics. The study was based on micro-data for Polish dairy companies from 2008–2017, retrieved from the Emerging Markets Information Service (EMIS) database. Based on panel regression models, it was demonstrated that extending the DSI and CCC had an adverse effect on ROA, whereas extending the DSO and DPO had a beneficial impact on ROA in dairy companies. Such relationships were mostly characteristic of SMEs which form the largest group of businesses in Poland.
Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. The article presents the results of working capital management efficiency in the food industry in Poland and selected countries of the Eurozone. The research was conducted on the basis of the unpublished data by the Polish Central Statistical Office in the trade structure and dimension of food industry enterprises in Poland in the period of [2005][2006][2007][2008][2009], and comparatively, in respect of the food sector in selected Eurozone countries. The working capital management efficiency was assessed by means of the inventory, accounts receivables, current liabilities turnover cycles, cash conversion cycle, and in respect of the obtained rates of return from non-financial assets. The research proved that in the food industry sectors with the shortest working capital cycles, relatively higher rates of profitability were obtained. A favorable influence of working capital cycles reduction of the profitability was also verified by means of a multiple regression analysis.
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Labour productivity is commonly considered as one of the most important parameters of development of economies, because it is conductive to reduction of costs, increase in supply of cheaper goods and services, higher dynamics of the market and higher purchasing power of societies, their wealth and competitive ability. But labour productivity is-at the backdrop of the EU countries-highly diversified, including in particular in agriculture where its level is much lower than in other sectors of the economy. The main objective of the presented paper is to examine and assess the changes in labour productivity in the EU agriculture in the context of the diversity of its level and dynamics of change underlying the identification of labour productivity convergence/divergence processes taking place in agriculture. The labour productivity convergence processes in the EU agriculture were analysed based on data from the period between 2005 and 2016, by testing two its basic types, namely sigma and beta convergence. The analysis applied statistical measures describing the degree of labour productivity differentiation in agriculture of the EU countries and cross-sectional regression function. The research showed that sigma and beta convergence exist in general in the EU-28 countries and in the group of the new Member States (UE-13). In the group of old Member States, however, no sigma convergence/divergence was identified, but statistically significant beta divergence was noted.
The main purpose of this study is to verify the causative link between inventory performance and profitability of food companies. This was done using the panel data methodology at the level of Polish food industry sub-sectors. The study takes account of the inventory mix, which includes the stocks of raw and other materials, work-in-progress, finished products and commodities. As shown by the analysis, the 2005–2017 period witnessed a decline in the share of inventories in total assets and in current assets. That trend was accompanied by an improvement in inventory management efficiency. The study also found that the days sales of inventory for total stocks clearly tends to become shorter due to a reduction in the days in inventory ratio for materials and finished products. Based on panel regression models, this study demonstrated that an improvement in inventory management efficiency is positively correlated with financial performance, measured as the return on operating assets.
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