Agricultural Economics, 2010 (vol. 56), issue 4
Forecast of demand through the differential description of their effects
Jan HRON, Tomáš MACÁK
Agric. Econ. - Czech, 2010, 56(4):149-158 | DOI: 10.17221/25/2010-AGRICECON 
This demand planning method is based on the Porter's competitive influences of the brand. Concretely, it is based on the deterministic formulation of some particular factors which are influencing the demand in time. It is not necessary to know the retrospective demand to predict the future demand. That is the highest advantage of this method.
Organizational capabilities as a source of competitive advantage: a conceptual framework
Ivana TICHÁ
Agric. Econ. - Czech, 2010, 56(4):159-162 | DOI: 10.17221/30/2010-AGRICECON
Organizational capabilities are recognized in the resource-based view strategy literature as one of the primary source of competitive advantage. This article reviews models to analyse organizational capabilities to provide framework for wider adoption of the concept of organizational capabilities both by researchers and practitioners.
Development of agricultural foreign trade in the countries of Central Europe
Miroslav SVATOŠ, Luboš SMUTKA
Agric. Econ. - Czech, 2010, 56(4):163-175 | DOI: 10.17221/22/2010-AGRICECON
This paper analyses the development of agricultural foreign trade in Austria, Hungary and the Czech Republic with the aim of uncovering the changes that have impacted the Central European agricultural trade over the ten year period (1999-2008). It issues from the results of the analysis of agricultural trade in the aforementioned countries, which has changed dramatically in terms of the commodity structure, the territorial structure and primarily the value structure. The main changes to have caused most of the changes to the individual characteristics of agricultural foreign trade in the particular countries under analysis are the process of the EU...
Comparison of demographic development in the CR and the EU countries
Libuše SVATOŠOVÁ
Agric. Econ. - Czech, 2010, 56(4):176-182 | DOI: 10.17221/24/2010-AGRICECON
Demographic development of human society is influenced by economic and political changes. The demographic development of most EU countries, including the Czech Republic, is characterized by the change of the age structure, the increase in the share of the third biological generation and thereby by aging of the population. These changes do not proceed with the same intensity in all countries; there are differences in the development, both among the EU countries and also the regional ones in the frame of the country. The paper presents an evaluation of the demographic development in the EU countries and further in the particular CR regions. The aim is...
Estimation of technical efficiency in Czech agriculture with respect to firm heterogeneity
Lukáš ČECHURA
Agric. Econ. - Czech, 2010, 56(4):183-191 | DOI: 10.17221/23/2010-AGRICECON
This paper deals with the estimation of technical efficiency in Czech agriculture with respect to significant firm heterogeneity. Two main questions are elaborated. The first concerns the choice of a proper model specification, distinguishing between technical inefficiency and firm heterogeneity. The second question is related to the level of technical efficiency. The results show that only those model specifications allowing for the capture of time-invariant firm heterogeneity may provide consistent estimates of technical efficiency. Specifically, the Random Parameters family of models is a superior specification for the estimation of technical efficiency...
Approaches to assess the group consensus in Yes-or-No type experts' group decision making
Shady ALY, Ivan VRANA
Agric. Econ. - Czech, 2010, 56(4):192-199 | DOI: 10.17221/97/2009-AGRICECON
Group consensus indicators provide an important insight and information about how to combine a group of expert judgments. This paper is concerned with the development of a set of indicators to be used in analyzing the group consensus in evaluating Yes-or-No type's decision problems. The opinions of the experts are in the form of a real number between 0 and 10 expressing the degree of answers Yes or No (0 for sharp No and 10 for sharp Yes). Two methods for obtaining the consensus indicators are developed. The first of them is based on configuring the one previously developed by (Ngwenyama et al. 1996), which is reviewed in this paper. The other one...