Template-Type: ReDIF-Article 1.0 Author-Name: Marie KUBANKOVA Author-Workplace-Name: Agricultural Research, Ltd. Troubsko, Czech Republic Author-Name: Miroslav HAJEK Author-Workplace-Name: Department of Forestry Economics and Management, Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Prague, The Czech Republic Author-Name: Alena VOTAVOVA Author-Workplace-Name: Agricultural Research, Ltd. Troubsko, Czech Republic Title: Environmental and social value of agriculture innovation Abstract: New requirements regarding agriculture production together with the increased pressure on environmentally friendly practices leave almost no space for the routine agriculture production. Innovations that include environmental changes are therefore essential. Agricultural research faces various challenges associated with the quality and effectiveness of agriculture production and recently also with the environmental and sustainability issues. The paper provides a case study focused on the environmental and social evaluation of a biological asset that constitutes an agricultural innovation. This paper also shows a concrete example of how the social and environmental reporting can be constructed and implemented by providing an evaluation of a Bumblebee Nest. As a result, the total value consisting of the market, ecosystem and aesthetic value is provided. Although the market value comprises the largest proportion of the total value, it does not exceed 64%. Keywords: New requirements regarding agriculture production together with the increased pressure on environmentally friendly practices leave almost no space for the routine agriculture production. Innovations that include environmental changes are therefore essential. Agricultural research faces various challenges associated with the quality and effectiveness of agriculture production and recently also with the environmental and sustainability issues. The paper provides a case study focused on the environmental and social evaluation of a biological asset that constitutes an agricultural innovation. This paper also shows a concrete example of how the social and environmental reporting can be constructed and implemented by providing an evaluation of a Bumblebee Nest. As a result, the total value consisting of the market, ecosystem and aesthetic value is provided. Although the market value comprises the largest proportion of the total value, it does not exceed 64% Journal: Agricultural Economics Pages: 101-112 Volume: 62 Issue: 3 Year: 2016 DOI: 10.17221/58/2015-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/58/2015-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-201603-0001.txt Handle: RePEc:caa:jnlage:v:62:y:2016:i:3:id:58-2015-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Li-Hua Lai Author-Workplace-Name: Department of Risk Management and Insurance, National Kaohsiung First University of Science and Technology, Kaohsiung City, Taiwan Title: Dynamic modelling in loss frequency and severity estimated: Evidence from the agricultural rice loss due to typhoons in Taiwan Abstract: The paper first adopt the BDS test to show that the BDS statistics of the time series of typhoons is a chaotic behaviour while the associated rice damage is random. The authors' investigations show that the time series of typhoons and rice damages are described by nonlinear. The result of the assessment shows that the model based on the AR(1)-GARCH(1,1) model is the best performing model in describing the rice loss severity due to typhoons and may have a chaotic behaviour if the variation of parameters is large enough. The best forecasting models in loss frequency with chaotic and severity predictions with random walk are superior to the best forecasting models in the current traditional or official estimated. This paper find that the fitting insurance price decision process by the loss cost charged in our method is different from the actuarial premium approaches of comparing evaluating effectiveness under the non-crop insurance program. Keywords: BDS statistics, chaotic behaviour, logistic and exponential smooth transition autoregressive models Journal: Agricultural Economics Pages: 113-123 Volume: 62 Issue: 3 Year: 2016 DOI: 10.17221/10/2015-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/10/2015-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-201603-0002.txt Handle: RePEc:caa:jnlage:v:62:y:2016:i:3:id:10-2015-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Elena HORSKA Author-Workplace-Name: Slovak University of Agriculture in Nitra, Nitra, Slovak Republic Author-Name: Jakub BERCIK Author-Workplace-Name: Slovak University of Agriculture in Nitra, Nitra, Slovak Republic Author-Name: Andrzej KRASNODEBSKI Author-Workplace-Name: University of Agriculture in Cracow, Cracow, Poland Author-Name: Renata MATYSIK-PEJAS Author-Workplace-Name: University of Agriculture in Cracow, Cracow, Poland Author-Name: Hana BAKAYOVA Author-Workplace-Name: Slovak University of Agriculture in Nitra, Nitra, Slovak Republic Title: Innovative approaches to examining consumer preferences when choosing wines Abstract: Consumer neuro-science is a new field in marketing, which aims to predict the consumer behaviour and to obtain information about feelings and preferences based on the physiological changes. We can objectively reveal our inexplicable behaviour to which we are not able to answer using a questionnaire in the traditional market research. An accurate measurement enables marketers to compare the response during research, such as the impact moments associated with a particular product or brand, how they react to different marketing stimuli. The paper aims to assess the current possibilities of the interdisciplinary examination of wines as well as to identify new opportunities for the current utilization of the knowledge of modern research methods. The research was conducted by measuring the electrical activity of the brain through the electroencephalography (EEG) and the software platform for analysing facial expressions. The research objective was the recognition of consumer emotions during the tasting of eight kinds of blank samples of wine. Using the interdisciplinary research, we identified facial expressions (happiness, sadness, disgust, neutral emotions, anger and surprise) that were captured immediately after tasting each type of test wines and the electrical activity in the brain based on which we have identified the valence of consumers. The achieved results confirm that neuro-marketing can be a useful tool that will help manufacturers and sellers to offer products that truly and not only in appearance satisfy customers. Ideally, this should lead to more a satisfied and better functioning market supply and demand and market positioning. Keywords: brand, consumer, EEG, emotion, FaceReader, innovation, neuro-marketing, white wine Journal: Agricultural Economics Pages: 124-133 Volume: 62 Issue: 3 Year: 2016 DOI: 10.17221/290/2015-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/290/2015-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-201603-0003.txt Handle: RePEc:caa:jnlage:v:62:y:2016:i:3:id:290-2015-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Vlada VITUNSKIENE Author-Workplace-Name: Institute of Economics, Accounting and Finance, Aleksandras Stulginskis University, Kaunas, Lithuania Author-Name: Vida DABKIENE Author-Workplace-Name: Institute of Economics, Accounting and Finance, Aleksandras Stulginskis University, Kaunas, Lithuania Title: Framework for assessing the farm relative sustainability: a Lithuanian case study Abstract: The aim of the study was to develop an analytical tool to assess the relative sustainability of family farms using the FADN data. This tool was based on the set of 23 indicators that covered three main components of sustainability (economic, environmental and social). The min-max approach was employed to normalise the selected indicators expressed in variety dimensions for their need to be put on a common basis. The factor analysis was used to estimate weights for the selected indicators to construct sub-indices and then the sub-indices were aggregated into the farm relative sustainability index (FRSI). The FRSI and sub-indices ranged from 0 to 1 (scaled into three intervals), assuming that the closer to 1 were the values of the index and the sub-indices the higher was the relative sustainability of the farm. The analytical tool has been applied to the Lithuanian FADN database for 2003 and 2012. The research revealed that the FRSI in 2003 and 2012 fell within the medium sustainability interval in all analysed farm size classes. The best sustainability situation in the year 2003 was determined on the large-sized farms, while the best sustainability situation in the year 2012 was established on the mid-sized farms. Keywords: farm relative sustainability, family farm, sustainability indicators, FADN data Journal: Agricultural Economics Pages: 134-148 Volume: 62 Issue: 3 Year: 2016 DOI: 10.17221/125/2015-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/125/2015-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-201603-0004.txt Handle: RePEc:caa:jnlage:v:62:y:2016:i:3:id:125-2015-AGRICECON