Suchergebnisse

The submitted paper is focused on the evaluation of the Common Agriculture Policy impact on economic results of Czech organic farmers. The aim of the paper is a complex evaluation of the influence of subsidy on production, costs, profit and technical efficiency of organic farms. The partial aim is to evaluate different methods of subsidy rate calculation. The main methodological tool for achieving mentioned aims is an analysis using a production and a stochastic frontier production function. This approach has not been used in the Czech Republic yet. The previous studies, analyzed subsidy of organic farming, were based on a comparison of especially family farm income, profit or costs of organic and conventional farming. The analysis was conducted on the basis of unbalanced panel data from 143 organic and 388 conventional enterprises -- legal entities, obtained over the time period 2004 -- 2008. The sample of organic farms represents 58% of the entire population of organic legal entities. Results of the analysis indicate negative impact of subsidies on production, profit and technical efficiency of organic farmers and refer to the reality that actual level of subsidy discourages organic farmers from rational behavior and implicates their dependence on state support. Adapted from the source document.

The paper provides findings on the technical efficiency of the European dairy processing industry, which is one of the most important subsectors of the food processing industry in the European Union (EU). The ability to efficiently use inputs in the production of outputs is a prerequisite for the sustainability and competitiveness of the agri-food sector as well as for food security. Thus, the aim of this paper is to provide a robust estimate of technical efficiency by employing new advances in productivity and efficiency analysis, and to investigate the efficiency of input use in 10 selected European countries. The analysis is based on two-stage stochastic frontier modelling incorporating country-specific input distance function (IDF) estimates and a meta-frontier input distance function estimate, both in specification of the four-component model, which currently represents the most advanced approach to technical efficiency analysis. To provide a robust estimate of these models, the paper employs methods that control for the potential endogeneity of netputs in the multistep estimation procedure. The results, based on the Amadeus dataset, reveal that companies manufacturing dairy products greatly exploited their production possibilities in 2006–2018. The dairy processing industry in the analysed countries cannot generally be characterized by a considerable waste of resources. The potential cost reduction is estimated at 4–8%, evaluated on the country samples mean. The overall technical inefficiency (OTE) is mainly a result of short-term shocks and unsystematic failures. However, the meta-frontier estimates also reveal a certain degree of systematic failure, e.g., permanent managerial failures and structural problems in European dairy processing industry. The results presented in this paper were obtained within the VALUMICS project "Understanding Food Value Chain and Network Dynamics", funded by the European Union's Horizon 2020 research and innovation programme under grant agreement No. 727243.

This study evaluated productivity dynamics and identified sources of productivity growth in Italian tomato production and processing. We used a stochastic frontier input distance function with four error components—heterogeneity, statistical noise, persistent and transient inefficiency—and a four-step estimation procedure with a system generalized method of moments (GMM) estimator in the first step to address the endogeneity problem. The results reveal significant differences in the productivity and efficiency of tomato production and processing. Moreover, there are considerable differences among the different sizes of tomato producers, with the main variations observed for scale efficiency. While tomato processors operate at an optimal production size, tomato producers are characterized by considerable economies of scale, especially small producers. These results thus suggest that there is significant opportunity for technical efficiency improvements at both stages of the value chain. Finally, due to improvements made to scale efficiency, extensive productivity growth was observed for the group of small tomato producers. The results presented in this paper were obtained within the VALUMICS project "Understanding Food Value Chain and Network Dynamics", funded by the European Union's Horizon 2020 research and innovation programme under grant agreement No. 727243.