Title: Prediction of institutional sector development and analysis of enterprises active in agriculture
Authors: Stehel, Vojtěch
Horák, Jakub
Vochozka, Marek
Citation: E+M. Ekonomie a Management = Economics and Management. 2019, roč. 22, č. 4, s. 103-118.
Issue Date: 2019
Publisher: Technická univerzita v Liberci
Document type: článek
URI: http://hdl.handle.net/11025/36040
ISSN: 2336-5604 (Online)
1212-3609 (Print)
Keywords: zemědělské podniky;institucionální rozvoj sektoru;předpověď;umělé neuronové sítě;hodnota podniku
Keywords in different language: agriculture enterprises;institutional sector development;prediction;artificial neural networks;value of the business
Abstract in different language: Owing to a special role of agriculture in the national economy, governments have become the main suppliers as well as the main users of agricultural predictions (forecasts). They require internal forecasts to implement policies that provide technical and market support to the agricultural sector (Hedtrich, Loy, & Mueller, 2012). Forecasts of agricultural production and prices ought to be helpful not only for the governments, but primarily for farmers and the entire agriculture industry. Thus, agriculture is an area where politicians, consumers, scientists and environmentalists encounter (Rivera-Ferre, 2008). Remeikiene, Rozsa, Gaspareniene and Pěnčík (2018) state that supportive political attitudes towards the agricultural sector along with employment of protectionist measures determine ignorance of the rules of supply and demand, distortion of the conditions of free market competition, closeness of the agricultural sector in comparison to other economic sectors, incomplete international agricultural price transmission, inkonsistence of long-term market prices for agricultural commodities and existence of agriculture in disfavoured areas.
Rights: CC BY-NC 4.0
Appears in Collections:Číslo 4 (2019)
Číslo 4 (2019)

Files in This Item:
File Description SizeFormat 
Stehel.pdfPlný text1,84 MBAdobe PDFView/Open

Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/36040

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.