Template-Type: ReDIF-Article 1.0 Author-Name: Juan Carlos Pérez-Mesa Author-Workplace-Name: Department of Economics and Business, Agrifood Campus of International Excellence, ceia3, Mediterranean Research Centre on Economics and Sustainable Development, CIMEDES, University of Almería, Almería, Spain Author-Name: Francisco Javier Pérez-Mesa Author-Workplace-Name: Department of Engineering, Agrifood Campus of International Excellence, ceia3, CIAMBITAL Research Centre, University of Almería, Almería, Spain Author-Name: Juan José Tapia-León Author-Workplace-Name: Department of Economics and Business, Agrifood Campus of International Excellence, ceia3, Mediterranean Research Centre on Economics and Sustainable Development, CIMEDES, University of Almería, Almería, Spain Author-Name: Diego Luis Valera Author-Workplace-Name: Department of Engineering, Agrifood Campus of International Excellence, ceia3, CIAMBITAL Research Centre, University of Almería, Almería, Spain Title: Scheduling vegetable sales to supermarkets in Europe: The tomato case Abstract: This article analyzes the temporal programming of sales for a horticultural marketing company, e.g. a cooperative. The empirical study references the European tomato market, where most of the production is sold through the retail channel dominated by large distribution chains. We study the marketing schedule for an individual company, or even a prominent farmer, using a modified Markowitz model, assuming that his decisions do not affect the balance of market prices. As a result, this model can manage risk and improve decision-making. The data also provide information on the risk borne by marketers depending on their sales calendar, which often depends on their geographic location. Keywords: cooperative, optimization, coordination mathematical programming, marketing Journal: Agricultural Economics Pages: 403-412 Volume: 68 Issue: 11 Year: 2022 DOI: 10.17221/196/2022-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/196/2022-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202211-0001.txt Handle: RePEc:caa:jnlage:v:68:y:2022:i:11:id:196-2022-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Veronika Fenyves Author-Workplace-Name: Institute of Accounting and Finance, Faculty of Economics and Business, University of Debrecen, Debrecen, Hungary Author-Name: Tibor Tarnóczi Author-Workplace-Name: Institute of Accounting and Finance, Faculty of Economics and Business, University of Debrecen, Debrecen, Hungary Author-Name: Zoltán Bács Author-Workplace-Name: Institute of Accounting and Finance, Faculty of Economics and Business, University of Debrecen, Debrecen, Hungary Author-Name: Dóra Kerezsi Author-Workplace-Name: Institute of Accounting and Finance, Faculty of Economics and Business, University of Debrecen, Debrecen, Hungary Author-Name: Péter Bajnai Author-Workplace-Name: Institute of Accounting and Finance, Faculty of Economics and Business, University of Debrecen, Debrecen, Hungary Author-Name: Mihály Szoboszlai Author-Workplace-Name: Hungarian National Bank, Hungary Title: Financial efficiency analysis of Hungarian agriculture, fisheries and forestry sector Abstract: In this study, we examine the efficiency of companies in Hungary's agriculture, fisheries and forestry sector. We analysed corporate efficiency by using stochastic frontier analysis (SFA). We used two methods to perform the SFA calculations - the Cobb-Douglas and translog functions. The result variable for the SFA calculation was gross value added (GVA), and the explanatory variables were tangibles, material costs, employee costs and other costs. The original database contained cross-sectional and time series data and was transformed into a panel database. We used the maximum log-likelihood method for parameter estimation. We performed the efficiency analysis in the case of the Cobb-Douglas and translog functions in two ways - first, without z variables (factor effects) and second, considering different factors (subsectors, workforce categories, ranking by total assets and ranking by total sales). Taking z variables into account increased the value of the efficiency coefficients. The latter model's results show that the companies' average performance in the sector examined was more than 70%. Further calculations also showed that the subsectors of the agriculture, fisheries and forestry sector differed in efficiency scores. The larger companies operated more efficiently than the smaller ones in the sector examined. Keywords: sectoral analysis, performance analysis, production functions, stochastic frontier analysis Journal: Agricultural Economics Pages: 413-426 Volume: 68 Issue: 11 Year: 2022 DOI: 10.17221/125/2022-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/125/2022-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202211-0002.txt Handle: RePEc:caa:jnlage:v:68:y:2022:i:11:id:125-2022-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Burcu Aksu Author-Workplace-Name: Department of Agricultural Economics, Agriculture Faculty, Akdeniz University, Antalya, Turkey Author-Name: Suleyman Karaman Title: Estimating the effect of a land parcel index using hedonic price analysis Abstract: The purpose of this study was to statistically test the effect of a parcel index - consisting of a combination of a soil index, a fertility index and a location index - intended to be used as a price-determining indicator for the sale of agricultural land at farmland markets. In the hedonic price model, the coefficients of the variables representing parcel index, population, gross return and parcel irrigation investment status were positive and statistically significant at a significance level of 0.01. There was a negative relationship between parcel size and sale price, which implied that the selling price per decare tends to decrease as the parcel size increases. In the study area, the prices of farmland with large parcel sizes and irrigation efficiency investments were higher. The population density in the region and gross income from farmlands were the major factors that generated demand for the land. The hedonic price model establishes an important link between the parcel index and the sale price of farmland. Based on this link, parcel index-based pricing can contribute significantly to the creation of a farmland market in Turkey. Keywords: asymmetric information, double-log model, farmland market, soil index, Vuong test Journal: Agricultural Economics Pages: 427-433 Volume: 68 Issue: 11 Year: 2022 DOI: 10.17221/72/2022-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/72/2022-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202211-0003.txt Handle: RePEc:caa:jnlage:v:68:y:2022:i:11:id:72-2022-AGRICECON Template-Type: ReDIF-Article 1.0 Author-Name: Li Zhu Author-Workplace-Name: College of Economics, Sichuan Agricultural University, Chengdu, P.R. China Author-Name: Weiyong Yu Author-Workplace-Name: School of Economics, Guizhou University of Finance and Economics, Guiyang, P.R. China Author-Name: Jinxiu Yang Author-Workplace-Name: College of Economics, Sichuan Agricultural University, Chengdu, P.R. China Title: Game analysis on the quality and safety control of pork supply chain - The case study of China Abstract: Using the method of static game analysis, the potential risk and responsibility across the entire pork supply chain are discussed from the perspective of all stakeholders involved. Included in the analysis are pig suppliers, slaughterers, pork processors, pork sellers and consumers. The results indicate the following: firstly, the lower the probability of inspections on downstream businesses and the higher the single inspection fee, the greater the probability of harmful substances used by upstream businesses and the higher the costs. Secondly, businesses that actively manufacture and transfer harmful substances in the supply chain cannot add extra costs. Finally, the quality and risk factors in pork production may not follow a strictly linear growth. This study might explain the unique problems that occur in pork supply chain management in large developing countries such as China. Keywords: allocation of risk and responsibility, risk control, stakeholders of pork supply chain, static game analysis Journal: Agricultural Economics Pages: 434-443 Volume: 68 Issue: 11 Year: 2022 DOI: 10.17221/135/2022-AGRICECON File-URL: http://agricecon.agriculturejournals.cz/doi/10.17221/135/2022-AGRICECON.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/age-202211-0004.txt Handle: RePEc:caa:jnlage:v:68:y:2022:i:11:id:135-2022-AGRICECON