Maintaining Agricultural Production Profitability—A Simulation Approach to Wheat Market Dynamics

Profitability is a complex notion, intertwined with theoretical, socio-economic, and modern economic considerations. While traditionally linked to monopoly advantages, contemporary views broaden this to include shareholder value creation. In agriculture, profitability faces impediments such as risin...

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Main Authors: Agnieszka Bezat-Jarzębowska, Włodzimierz Rembisz, Sebastian Jarzębowski
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Agriculture
Subjects:
Online Access:https://www.mdpi.com/2077-0472/14/11/1910
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author Agnieszka Bezat-Jarzębowska
Włodzimierz Rembisz
Sebastian Jarzębowski
author_facet Agnieszka Bezat-Jarzębowska
Włodzimierz Rembisz
Sebastian Jarzębowski
author_sort Agnieszka Bezat-Jarzębowska
collection DOAJ
description Profitability is a complex notion, intertwined with theoretical, socio-economic, and modern economic considerations. While traditionally linked to monopoly advantages, contemporary views broaden this to include shareholder value creation. In agriculture, profitability faces impediments such as rising input costs, market volatility, and economic disparities, emphasizing technological innovation, market conditions, and policy as crucial determinants. This study presents an econometric simulation model to analyze and forecast wheat production profitability in Poland from 2023 to 2027, providing insights into production efficiencies, market dynamics, and policy impacts. Using a system of recursive equations, the model forecasts profitability, integrating econometric techniques with expert insights. It examines variables like resource use, production levels, and price changes, validated through FADN data. The findings reveal that price relations and production efficiencies are the key to profitability. The model highlights market volatility, particularly through “price scissors”, as the main factor influencing profitability. Favorable price conditions significantly boost profitability and incentivize production. The model is a critical tool for analyzing wheat profitability, highlighting the influence of market and policy changes. Future work could extend the model’s use to other regions or crops, incorporating advanced technologies to improve accuracy. This study offers valuable insights for agricultural economics, aiding stakeholders in strategic decision-making.
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id doaj-art-770cd5c78fef48aa9baa9b5faee1e3ba
institution OA Journals
issn 2077-0472
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publishDate 2024-10-01
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series Agriculture
spelling doaj-art-770cd5c78fef48aa9baa9b5faee1e3ba2025-08-20T01:53:37ZengMDPI AGAgriculture2077-04722024-10-011411191010.3390/agriculture14111910Maintaining Agricultural Production Profitability—A Simulation Approach to Wheat Market DynamicsAgnieszka Bezat-Jarzębowska0Włodzimierz Rembisz1Sebastian Jarzębowski2Department of Agricultural Markets and Quantitative Methods, Institute of Agricultural and Food Economics, 20 Swietokrzyska Street, 00-002 Warsaw, PolandDepartment of Agricultural Markets and Quantitative Methods, Institute of Agricultural and Food Economics, 20 Swietokrzyska Street, 00-002 Warsaw, PolandDepartment of Economics, Kozminski University, 57/59 Jagiellonska Street, 03-301 Warsaw, PolandProfitability is a complex notion, intertwined with theoretical, socio-economic, and modern economic considerations. While traditionally linked to monopoly advantages, contemporary views broaden this to include shareholder value creation. In agriculture, profitability faces impediments such as rising input costs, market volatility, and economic disparities, emphasizing technological innovation, market conditions, and policy as crucial determinants. This study presents an econometric simulation model to analyze and forecast wheat production profitability in Poland from 2023 to 2027, providing insights into production efficiencies, market dynamics, and policy impacts. Using a system of recursive equations, the model forecasts profitability, integrating econometric techniques with expert insights. It examines variables like resource use, production levels, and price changes, validated through FADN data. The findings reveal that price relations and production efficiencies are the key to profitability. The model highlights market volatility, particularly through “price scissors”, as the main factor influencing profitability. Favorable price conditions significantly boost profitability and incentivize production. The model is a critical tool for analyzing wheat profitability, highlighting the influence of market and policy changes. Future work could extend the model’s use to other regions or crops, incorporating advanced technologies to improve accuracy. This study offers valuable insights for agricultural economics, aiding stakeholders in strategic decision-making.https://www.mdpi.com/2077-0472/14/11/1910profitability changesimulation modelwheat market
spellingShingle Agnieszka Bezat-Jarzębowska
Włodzimierz Rembisz
Sebastian Jarzębowski
Maintaining Agricultural Production Profitability—A Simulation Approach to Wheat Market Dynamics
Agriculture
profitability change
simulation model
wheat market
title Maintaining Agricultural Production Profitability—A Simulation Approach to Wheat Market Dynamics
title_full Maintaining Agricultural Production Profitability—A Simulation Approach to Wheat Market Dynamics
title_fullStr Maintaining Agricultural Production Profitability—A Simulation Approach to Wheat Market Dynamics
title_full_unstemmed Maintaining Agricultural Production Profitability—A Simulation Approach to Wheat Market Dynamics
title_short Maintaining Agricultural Production Profitability—A Simulation Approach to Wheat Market Dynamics
title_sort maintaining agricultural production profitability a simulation approach to wheat market dynamics
topic profitability change
simulation model
wheat market
url https://www.mdpi.com/2077-0472/14/11/1910
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AT włodzimierzrembisz maintainingagriculturalproductionprofitabilityasimulationapproachtowheatmarketdynamics
AT sebastianjarzebowski maintainingagriculturalproductionprofitabilityasimulationapproachtowheatmarketdynamics