Template-Type: ReDIF-Article 1.0 Author-Name: J. Tvrdoň Author-Workplace-Name: Czech University of Agriculture, Prague, Czech Republic Title: Some model approaches of natural resources efficiency evaluation Abstract: The article deals with problems of sustainable development of agriculture from the viewpoint of efficient use of environmental resources. Environmental resources are factors of creation both usual economic goods and stabilization of environment. Analysis proved that classical indicators of economic performance are necessary to be modified by the ecological threshold of economic activities. However its level is not fixed and follows factors introduced in the paper which arose in frame of solution of the Institutional Research Intention MSM 411100013. Keywords: national accounts, environment, environmental resources, ecological threshold of economic activities Journal: Agricultural Economics Pages: 47-50 Volume: 51 Issue: 2 Year: 2005 DOI: 10.17221/5075-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/5075-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-200502-0001.txt Handle: RePEc:caa:jnlage:v:51:y:2005:i:2:id:5075-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: I. Brožová Author-Workplace-Name: Czech University of Agriculture, Prague, Czech Republic Title: Organic agriculture as one of aspects of multifunctional agriculture Abstract: The incorporation of Czech agrarian sector in the Common Agricultural Policy of the EU means also the application of so called "European Model of Agriculture" which reacts to a basic requirement of socially balanced and sustainable agriculture which contributes to maintenance and an improvement of the European agricultural cultural landscape. In connection with it, a new strategy of agrarian policy was set according to which the orientation of Czech agrarian sector changes in a principal way, which was focused up to now only on the production function and also its other functions become more important, above all in the environmental and social, so non-production area. One of the aspects of multifunctional agriculture is an organic agriculture, a system which fulfills visions of sustainable agriculture. Keywords: multifunctional agriculture, organic agriculture, sustainable agriculture, non-production functions Journal: Agricultural Economics Pages: 51-56 Volume: 51 Issue: 2 Year: 2005 DOI: 10.17221/5076-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/5076-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-200502-0002.txt Handle: RePEc:caa:jnlage:v:51:y:2005:i:2:id:5076-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: M. Lošťák Author-Workplace-Name: Czech University of Agriculture, Prague, Czech Republic Title: New possibilities of identifying social capital for its use in sustainable rural development Abstract: In relation to sustainable rural development, the paper starts with the question of its conditions. One of them is social acceptance of various projects or programmes. This issue is joined with the co-ordination of human activities. The mechanism facilitating the co-ordination in contemporary societies is related to social capital. Its concept is outlined through the references to the basic literature about the topic. Using content analysis, based on the quantification of the categories created through the analysis of the literature about the topic, the social capital in selected municipalities is investigated. The main aim of the paper, however, is to show the role of this method in social capital fast identification. Although the approach necessitates further elaboration, it can be considered as the first important step in the practice of development activities. The background of the paper reflects the challenges of the World Bank concerning the elaboration and development of the new methods of measuring social capital. Keywords: social capital, sustainable rural development, content analysis Journal: Agricultural Economics Pages: 57-63 Volume: 51 Issue: 2 Year: 2005 DOI: 10.17221/5077-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/5077-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-200502-0003.txt Handle: RePEc:caa:jnlage:v:51:y:2005:i:2:id:5077-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: L. Svatošová Author-Workplace-Name: Czech University of Agriculture, Prague, Czech Republic Title: Methodological starting points of regional development analyses Abstract: When assessing regional development, it is necessary to assess and analyze many indicators describing the regions as to the natural and geographical conditions, economic situation, human potential, social levels, environment and others. The data analyzed represent a multidimensional statistical population, where many variables are observed and relationships among these variables exist or may exist. The paper deals with the possibilities of the multivariate statistical data analysis application. Keywords: multicriterial assessment, available potential of the region, multivariate statistical methods, principal component analysis, cluster analysis, regression analysis Journal: Agricultural Economics Pages: 64-68 Volume: 51 Issue: 2 Year: 2005 DOI: 10.17221/5078-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/5078-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-200502-0004.txt Handle: RePEc:caa:jnlage:v:51:y:2005:i:2:id:5078-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: S. Aly Author-Workplace-Name: Czech University of Agriculture, Prague, Czech Republic Author-Name: I. Vrana Author-Workplace-Name: Czech University of Agriculture, Prague, Czech Republic Title: Fuzzy expert marketing-mix model Abstract: A marketing-mix setting model is presented. The all four P's are integrated and identified. The model makes strong utilization of relevant experts' knowledge and expertise through a fuzzy-decision-making system tailored to dynamically set the marketing-mix periodically in response to changing business environment. Quantitative, qualitative, uncertain, and vague variables are handled necessary to provide a realistic solution. The proposed model is particularly applicable to changing business environments that are full of such qualitative, stochastic, uncertain, and vague variables as in the case of agricultural business (e.g., agro-food companies, fertilizers and agro-chemical producers), and generally applicable to any other business sector. The method can be considered as the fuzzy-expert system for determining values of the marketing decision variables. Keywords: marketing-mix, fuzzy-decision-making system, stochastic variables, subjective variables, fuzzy expert system Journal: Agricultural Economics Pages: 69-79 Volume: 51 Issue: 2 Year: 2005 DOI: 10.17221/5079-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/5079-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-200502-0005.txt Handle: RePEc:caa:jnlage:v:51:y:2005:i:2:id:5079-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: D. Klimešová Author-Workplace-Name: Czech University of Agriculture, Prague, Czech Republic & Institute of Information Theory and Automation, Czech Academy of Sciences, Prague Author-Name: E. Ocelíková Author-Workplace-Name: Czech University of Agriculture, Prague, Czech Republic & Institute of Information Theory and Automation, Czech Academy of Sciences, Prague Title: Spatial data modelling and maximum entropy theory Abstract: Spatial data modelling and consequential error estimation of the distribution function are key points of spatial analysis. For many practical problems, it is impossible to hypothesize distribution function firstly and some distribution models, such as Gaussian distribution, may not suit to complicated distribution in practice. The paper shows the possibility of the approach based on the maximum entropy theory that can optimally describe the spatial data distribution and gives the actual error estimation. Keywords: spatial data classification, distribution function, error distribution, and maximum entropy approach Journal: Agricultural Economics Pages: 80-83 Volume: 51 Issue: 2 Year: 2005 DOI: 10.17221/5080-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/5080-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-200502-0006.txt Handle: RePEc:caa:jnlage:v:51:y:2005:i:2:id:5080-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: I. Vrana Author-Workplace-Name: Czech University of Agriculture, Prague, Czech Republic Author-Name: J. Vrána Author-Workplace-Name: Czech University of Agriculture, Prague, Czech Republic Title: Approach to comparing complex software implementation methods Abstract: Some of agriculture-food sector information systems are characterised by a high complexity and a large size. There are often many alternative solutions or technologies (implementation methods) and more then one possible way or approach to an information system design. Individual alternatives could considerably differ by their properties, e.g. costs of design of initial functionality, development and operational costs, run-time costs and technical parameters of the resulting information system (e.g. the access time). Unfortunately, existing metrics for quantification of this task usually do not deliver precise results but a rough estimate depending on many variable conditions. The paper will outline typical implementation methods and show approaches to assessment and comparison of certain types of properties of information systems for a computer support for management of large data systems, which use relational database. Authors presented part of these results also at the Agrarian Perspectives conference 2004 in the Applied Informatics session (Vrana I., Vrána J. 2004). Keywords: Information system, implementation method, quality assessment Journal: Agricultural Economics Pages: 84-92 Volume: 51 Issue: 2 Year: 2005 DOI: 10.17221/5081-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/5081-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-200502-0007.txt Handle: RePEc:caa:jnlage:v:51:y:2005:i:2:id:5081-AGRICECON