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Comparison of Agricultural Costs Prediction Approaches

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027251%3A_____%2F18%3AN0000009" target="_blank" >RIV/00027251:_____/18:N0000009 - isvavai.cz</a>

  • Alternative codes found

    RIV/60460709:41110/18:76790

  • Result on the web

    <a href="https://online.agris.cz/archive/2018/1/01" target="_blank" >https://online.agris.cz/archive/2018/1/01</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.7160/aol.2018.100101" target="_blank" >10.7160/aol.2018.100101</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparison of Agricultural Costs Prediction Approaches

  • Original language description

    The paper submitted offers an assessment and comparison of three approaches to agricultural cost inputs short-term forecasting, that have been proposed as possible alternatives to tackle the problem. The data applied have been taken from the Czech Statistical Office and the Farm Accountancy Data Network data sources. The forecasts were prepared using time series analyses based on methods of exponential smoothing and Box-Jenkins methodology of autoregressive integrated process moving averages. The proposed change index numbers for the 2012, 2013 and 2014 years from three approaches were confronted with the real development of costs time series as it was found in the statistical FADN survey results. The main conclusion drawn pointed out that, for the purpose of economic income estimation based on the FADN database, the cost prediction approach based on the same database, i.e., on time series analysis of the FADN panel data, is the most applicable one. However, it is recommended, too, to use other approaches for crops protection products cost and labour cost development.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    AGRIS on-line Papers in Economics and Informatics

  • ISSN

    1804-1930

  • e-ISSN

  • Volume of the periodical

    10

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    11

  • Pages from-to

    3-13

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85044770443