Added value of Czech agrarian trade is a frequently discussed topic. The goal of the New Strategy of the Ministry of Agriculture with the outlook until 2030 and of the Export Strategy of the Czech Republic for 2012-2020 is to improve the commodity structure of Czech agrarian exports and to increase the proportion of exported processed products and food with high added value. One of the key aspects to understanding the current state of the development of agrarian trade added value is methodology used for trade performance analysis. In fact, there are several methodologies related to attempts to estimate the real state of added value distribution in relation to foreign trade performance. None of the methods seems flawless, each is suitable for a different purpose in understanding the commodity structure specifics. Czech authorities apply methodology originally proposed by Regmi (2005) which, however, does not truly reflect the real state of the current commodity structure. The Research Institute of Agricultural Economics and Informatics is interested in developing its own method suitable for better understanding of the Czech agrarian foreign trade specifics. The objective of this paper is to specify the basic idea of the proposed methodology, to compare it with the already applied methodology and to present basic differences between the old and the new approaches. Presumably, the new classification can serve as a suitable tool for Czech agrarian trade analysis and provides a more precise overview of the degree of processing of traded commodities than other types of categorisation. Its advantages prevail over the disadvantages, which are less important. The new classification of unprocessed and processed products requires regular inspection and more frequent updates, as the 8-digit codes of the customs nomenclature continually change. At the end of the paper the agricultural trade performance is calculated according to the currently applied methodology and also according to the new proposed methodology. The results between both applied approaches are significant especially in mutual relation between processed and unprocessed items share in total trade. There are significant differences both in relation to EU countries and also non-EU countries.

Czech Foreign Trade with Meat and Meat ProductsThe meat production and meat processing industry are the most important parts of the agribusiness in the Czech Republic. The problem of the industry is its low competitiveness towards foreign producers and processors which results in negative balance of foreign trade. The aim of the article is to evaluate long-term development of value and structure of Czech foreign trade flows of meat and meat products. ÚvodMaso a masné výrobky jsou základními komponentami výživy. Česká republika má dlouhou tradici v oboru Řezník -uzenář a maso a masné výrobky jsou významnou součástí potravinářského průmyslu. Bohužel se však tato část potravinářského průmyslu potýká na jedné straně s dlouhodobě významnými dovozy masa z okolních zemí [Bašek et al., 2010] a na straně druhé s nízkým zájmem mladých lidí o uplatnění v oboru z důvodu vysoké fyzické náročnosti práce, preference studia zakončeného maturitou před výuč-ním listem a kvůli zhoršení statusu řezníka -uzenáře ve společnosti . Zejména po vstupu ČR na jednotný evropský trh v roce 2004 se nízká konkurenceschopnost českých zpracovatelů masa projevila zápornou bilancí agrárního zahraničního obchodu [Bielik et al., 2013]. Doposud byla provedena řada analýz vývoje a struktury zahraničně-obchodních toků zemědělských komodit [Vološin, Smutka a Selby, 2011;Doubek a Švasta, 2012] 1 Tento článek byl vytvořen za institucionální podpory výzkumné organizace v rámci interního výzkumného projektu ÚZEI č. 1294/2015 "MASO -Strategická analýza oboru zpracování masa a výroby masných výrobků v ČR".* Ústav zemědělské ekonomiky a informací,

No abstract

No abstract

The main objective of the paper is to contribute to practical applicability of the CBA in the agricultural sector by exploring the chances to estimate Czech social values of selected agricultural commodities using available statistical data. More specifically, we try to analyse for which commodities secondary data sets are available from which we may deduce the estimates of shadow price ratios, then to estimate SPRs for selected agricultural commodities and to analyse and discuss the applicability of such estimates in practical appraisal with respect to theoretically ideal measures and resulting available measures as well as with respect to the situation in which the CBA analyst typically is. We selected the following commodities: poultry, pigs, bulls, milk, rapeseed, maize, barley and wheat as items more suitable for SPR estimates mostly because of the data availability and the internal homogeneity of the items, which was closer to the theoretically required values than for other commodities. Under additional simplifying assumptions, we estimated SPR proxies for the particular commodities and finally summarized the pros and cons for application of SPR alternatives.