Template-Type: ReDIF-Article 1.0 Author-Name: Anna Nowak Author-Workplace-Name: Department of Economics and Agribusiness, University of Life Sciences in Lublin, Poland Author-Name: Monika Różańska-Boczula Author-Workplace-Name: Department of Applied Mathematics and Computer Science, University of Life Sciences in Lublin, Poland Title: Differentiation in the production potential and efficiency of farms in the member states of the European Union Abstract: This paper contains an evaluation of the differentiation of the production potential and efficiency of farms in the member states of the European Union in 2013-2016. To this end, a taxonomic method - Hellwig's development measure - was used. The study was based on data from the European Union Farm Accountancy Data Network (FADN). The study results indicate that member states such as the Netherlands, Denmark, Luxembourg, Belgium, the United Kingdom and Slovakia were characterised by the best agricultural production potential. The first four member states also showed the highest efficiency with regard to the utilisation of production factors. On the other hand, low and average potential and efficiency were characteristic of farms in most of the new member states. Keywords: agriculture, European Union members, potential of farms, production factors, synthetic indicator Journal: Agricultural Economics Pages: 395-403 Volume: 65 Issue: 9 Year: 2019 DOI: 10.17221/378/2018-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/378/2018-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-201909-0001.txt Handle: RePEc:caa:jnlage:v:65:y:2019:i:9:id:378-2018-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Vera Teresa Foti Author-Workplace-Name: Department of Agricultural Food and Environment (Di3A), University of Catania, Italy Author-Name: Alessandro Scuderi Author-Workplace-Name: Department of Agricultural Food and Environment (Di3A), University of Catania, Italy Author-Name: Giuseppe Stella Author-Workplace-Name: PH3DRA Laboratories University of Catania & INFN, Italy Author-Name: Giuseppe Timpanaro Author-Workplace-Name: Department of Agricultural Food and Environment (Di3A), University of Catania, Italy Title: Consumer purchasing behaviour for "biodiversity-friendly" vegetable products: increasing importance of informal relationships Abstract: The consumer's central role within biodiversity conservation networks may be connected to the process of reconnecting models of production and proven local consumption within "alternative food networks" that have the ability to conserve biodiversity and create sustainable production. This research focuses of the indirect relationships between consumers of biodiversity-friendly vegetable crops surveyed at the main farmers' markets in Sicily, revealing details of purchasing behaviour and the factors related to product choice using social network analysis (SNA) to analyse the social relationships. The research highlights the consumer preferences for local produce or areas with an identity connection or an ethical-social affinity, as shown by the convergence of themes such as "territorial promotion" and "Sicilian quality". This result confirms the role of low-volume producers and local communities in protecting biodiversity-friendly farming and renewing their importance in policy-making. Different consumers highlighted how important it is to design more effective measures to maintain and increase ecosystem resilience. Future development in this area will need to include empirical research on defining the motivations that induce consumers to collaborate with producers in the co-creation of values and anticipating the willingness of consumers to be more pro-active and participatory with biodiversity-friendly farmers in managing their relationships. Keywords: consumption, food, origin, social network analysis, sustainability Journal: Agricultural Economics Pages: 404-414 Volume: 65 Issue: 9 Year: 2019 DOI: 10.17221/377/2018-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/377/2018-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-201909-0002.txt Handle: RePEc:caa:jnlage:v:65:y:2019:i:9:id:377-2018-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Byeong-Il Ahn Title: Investigation of asymmetric impulse responses between average consumption propensity and average food consumption propensity of household in Korea Abstract: Average consumption propensity (ACP) and average food consumption propensity (AFCP) are important indices for implementing macroeconomic and food policies. The present paper investigates the existence of asymmetric responses of ACP and AFCP to positive and negative shocks of each series in Korea. According to the estimation results of the Structural Vector Autoregression (SVAR) model, ACP and AFCP are analysed to have asymmetric responses to negative and positive shocks, regardless of whether the shock is imposed on the own or on the other series. The derived absolute values of the responses indicate that ACP is more influenced by AFCP, which implies that a shock on AFCP is more permanent than one on ACP. The responses of ACP and AFCP appear to be lower during the period after 1998 when the Asian financial crisis occurred. This implies that not only food consumption, but also overall consumption of households became stabilised after the Asian financial crisis. Keywords: food consumption, household expenditure, Structural Vector Autoregression model Journal: Agricultural Economics Pages: 415-424 Volume: 65 Issue: 9 Year: 2019 DOI: 10.17221/287/2018-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/287/2018-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-201909-0003.txt Handle: RePEc:caa:jnlage:v:65:y:2019:i:9:id:287-2018-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Jiehong Zhou Author-Workplace-Name: China Academy for Rural Development, School of Public Affairs, Zhejiang University, Hangzhou, Zhejiang, China Author-Name: Yu Wang Author-Workplace-Name: China Academy for Rural Development, School of Public Affairs, Zhejiang University, Hangzhou, Zhejiang, China Author-Name: Rui Mao Title: Dynamic and spillover effects of USA import refusals on China's agricultural trade: Evidence from monthly data Abstract: Border inspections by developed nations are an essential export barrier to developing countries. Import refusals, in particular, not only exhibit dynamic impacts on exporters' performance in the refused destination but may also spill over into exports toward third markets. Using a panel structural vector autoregression model, the complete dynamics of China's agricultural export in response to United States Food and Drug Administration (FDA) import refusals is estimated at the monthly level. Despite notable heterogeneities across sectors, negative and positive reactions that last mostly less than a year are revealed respectively for the quantity and price of China's exports to USA on average. The impact of idiosyncratic component dominates that of common component in the refusal shock, highlighting the sensitivity of exports to sector-specific border inspections. Relative to other refusal charges, larger export contractions tend to follow adulteration charges. The trade effect of FDA refusals spills over into other main export destinations of China. While non-adulteration charges result in trade deflections on average, a contagious export reduction is observed in most non-US markets. These results provide insights for exporters to make strategies with a focus on specific sectors, charges, third markets and especially on the short run to cope with import refusals. Keywords: agricultural exports, import refusals, panel structural vector autoregression, spillover effects Journal: Agricultural Economics Pages: 425-434 Volume: 65 Issue: 9 Year: 2019 DOI: 10.17221/15/2019-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/15/2019-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-201909-0004.txt Handle: RePEc:caa:jnlage:v:65:y:2019:i:9:id:15-2019-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Lina Novickyté Title: Risk in agriculture: An overview of the theoretical insights and recent development trends during last decade - A review Abstract: The main purpose of this paper is to provide a detailed overview of the theoretical insights and recent development trends on risk in agriculture. It focuses on the synthesis and analysis of the research studies published over the period from 2008 through 2018 and aims to identify major findings obtained over the recent decade and determine the areas for future research. This paper reviews a total of 397 unique publications retrieved from the international journals accessible in the Web of Science database. Based on different criteria deployed by the scientometric analysis, the selected articles have been reviewed and classified. The bibliometric analysis includes the citation volumes, authors, names of journals, research areas, affiliations, and contributing countries. The network analysis includes the examination of keywords. This article provides an opportunity for scholars, practitioners, and policy-makers to understand and manage risk in agriculture and at the same time presents a roadmap for future research in this field. Keywords: agriculture, bibliometric analysis, network analysis risk, risk, risk management Journal: Agricultural Economics Pages: 435-444 Volume: 65 Issue: 9 Year: 2019 DOI: 10.17221/11/2019-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/11/2019-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-201909-0005.txt Handle: RePEc:caa:jnlage:v:65:y:2019:i:9:id:11-2019-AGRICECON