Název:	Prediction of institutional sector development and analysis of enterprises active in agriculture
Autoři:	Stehel, Vojtěch Horák, Jakub Vochozka, Marek
Citace zdrojového dokumentu:	E+M. Ekonomie a Management = Economics and Management. 2019, roč. 22, č. 4, s. 103-118.
Datum vydání:	2019
Nakladatel:	Technická univerzita v Liberci
Typ dokumentu:	článek article
URI:	http://hdl.handle.net/11025/36040
ISSN:	2336-5604 (Online) 1212-3609 (Print)
Klíčová slova:	zemědělské podniky;institucionální rozvoj sektoru;předpověď;umělé neuronové sítě;hodnota podniku
Klíčová slova v dalším jazyce:	agriculture enterprises;institutional sector development;prediction;artificial neural networks;value of the business
Abstrakt v dalším jazyce:	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.
Práva:	CC BY-NC 4.0
Vyskytuje se v kolekcích:	Číslo 4 (2019) Číslo 4 (2019)

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