Comparison of Agricultural Costs Prediction Approaches

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/60460709:41110/18:76790

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Comparison of Agricultural Costs Prediction Approaches

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Comparison of Agricultural Costs Prediction Approaches

Popis výsledku anglicky

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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

AGRIS on-line Papers in Economics and Informatics

ISSN

1804-1930

e-ISSN

—

Svazek periodika

10

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

11

Strana od-do

3-13

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85044770443