Production function in agriculture in the Czech Republic

Monika Burghauserová, Zuzana Rowland () and Lenka Novotná
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Monika Burghauserová: Institute of Technology and Business in České Budějovice, Czech Republic
Zuzana Rowland: Institute of Technology and Business in České Budějovice, Czech Republic
Lenka Novotná: Institute of Technology and Business in České Budějovice, Czech Republic

Entrepreneurship and Sustainability Issues, 2022, vol. 10, issue 1, 453-466

Abstract: Correct setting of value drivers of agricultural companies plays an important role, as every company strives for maximizing its profit. The goal of the paper was to determine the dependence of profit on production factors and to identify important production factors. Variables verified as value drivers were land, material, personnel costs, and depreciation of fixed tangible and intangible assets. The selected method of data processing is multiple regression analysis. The data were represented using a normal probability plot of residuals and a distribution histogram. The results show that 51.44 % of significant variables are material, personnel costs and depreciation of fixed tangible and intangible assets. The findings also imply that multiple regression analysis is a suitable statistical method. In conclusion, it can be stated that material, personnel costs, and depreciation of fixed tangible and intangible assets are important value drivers.

Keywords: agricultural companies; value drivers; profit; multiple regression analysis; production function (search for similar items in EconPapers)
JEL-codes: D24 Q12 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:ssi:jouesi:v:10:y:2022:i:1:p:453-466

DOI: 10.9770/jesi.2022.10.1(25)

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