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The Marginal Effect of Investment in Machinery, Livestock, and Buildings on Irish Agricultural Output and Costs

Received: 3 December 2023    Accepted: 18 December 2023    Published: 28 December 2023
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Abstract

To achieve economically sustainable and profitable farms, farmers must manage various factors that impact farm output and costs. Numerous factors can influence farms' output, including soil quality, environmental conditions, farm size, system, and farmers' experience. This study investigates the impact of investment increases and decreases on farm gross output, direct costs, and overhead costs in Ireland, utilizing the Deep Neural Networks method. The data source for this study is a farm survey of pastoral-based livestock systems from 1996 to 2018. The findings reveal that, on average, Irish farmers ranging from the second gross output decile to the fifth decile will experience an increase in their gross output of 9% to 12.6% if they increase their investment in machinery, livestock, and buildings by 10%. Surprisingly, farmers in the first, ninth, and tenth deciles will experience a decrease in their gross output of 7.7%, 0.05%, and 3.77%, respectively, if investments are increased. This discrepancy may be attributed to the fact that the lowest and highest gross output farms primarily rely on subsidies and have already made substantial investments, respectively, resulting in a lack of positive response to investment increases. As expected, a 10% increase in investments leads to an increase in direct and overhead costs across most deciles, while a decrease in investments results in a decrease in overhead costs across all deciles. The findings of this paper emphasize the significance of farm investments in agricultural output and costs, providing valuable insights for agricultural policymakers and other stakeholders in making research-based decisions.

Published in International Journal of Agricultural Economics (Volume 8, Issue 6)
DOI 10.11648/j.ijae.20230806.21
Page(s) 305-314
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Agricultural Output, Agricultural Costs, Machine Learning, Modelling in Agricultural Economics

References
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Cite This Article
  • APA Style

    Haydarov, D., Zhang, C. (2023). The Marginal Effect of Investment in Machinery, Livestock, and Buildings on Irish Agricultural Output and Costs. International Journal of Agricultural Economics, 8(6), 305-314. https://doi.org/10.11648/j.ijae.20230806.21

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    ACS Style

    Haydarov, D.; Zhang, C. The Marginal Effect of Investment in Machinery, Livestock, and Buildings on Irish Agricultural Output and Costs. Int. J. Agric. Econ. 2023, 8(6), 305-314. doi: 10.11648/j.ijae.20230806.21

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    AMA Style

    Haydarov D, Zhang C. The Marginal Effect of Investment in Machinery, Livestock, and Buildings on Irish Agricultural Output and Costs. Int J Agric Econ. 2023;8(6):305-314. doi: 10.11648/j.ijae.20230806.21

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  • @article{10.11648/j.ijae.20230806.21,
      author = {Dilovar Haydarov and Chaosheng Zhang},
      title = {The Marginal Effect of Investment in Machinery, Livestock, and Buildings on Irish Agricultural Output and Costs},
      journal = {International Journal of Agricultural Economics},
      volume = {8},
      number = {6},
      pages = {305-314},
      doi = {10.11648/j.ijae.20230806.21},
      url = {https://doi.org/10.11648/j.ijae.20230806.21},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijae.20230806.21},
      abstract = {To achieve economically sustainable and profitable farms, farmers must manage various factors that impact farm output and costs. Numerous factors can influence farms' output, including soil quality, environmental conditions, farm size, system, and farmers' experience. This study investigates the impact of investment increases and decreases on farm gross output, direct costs, and overhead costs in Ireland, utilizing the Deep Neural Networks method. The data source for this study is a farm survey of pastoral-based livestock systems from 1996 to 2018. The findings reveal that, on average, Irish farmers ranging from the second gross output decile to the fifth decile will experience an increase in their gross output of 9% to 12.6% if they increase their investment in machinery, livestock, and buildings by 10%. Surprisingly, farmers in the first, ninth, and tenth deciles will experience a decrease in their gross output of 7.7%, 0.05%, and 3.77%, respectively, if investments are increased. This discrepancy may be attributed to the fact that the lowest and highest gross output farms primarily rely on subsidies and have already made substantial investments, respectively, resulting in a lack of positive response to investment increases. As expected, a 10% increase in investments leads to an increase in direct and overhead costs across most deciles, while a decrease in investments results in a decrease in overhead costs across all deciles. The findings of this paper emphasize the significance of farm investments in agricultural output and costs, providing valuable insights for agricultural policymakers and other stakeholders in making research-based decisions.
    },
     year = {2023}
    }
    

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  • TY  - JOUR
    T1  - The Marginal Effect of Investment in Machinery, Livestock, and Buildings on Irish Agricultural Output and Costs
    AU  - Dilovar Haydarov
    AU  - Chaosheng Zhang
    Y1  - 2023/12/28
    PY  - 2023
    N1  - https://doi.org/10.11648/j.ijae.20230806.21
    DO  - 10.11648/j.ijae.20230806.21
    T2  - International Journal of Agricultural Economics
    JF  - International Journal of Agricultural Economics
    JO  - International Journal of Agricultural Economics
    SP  - 305
    EP  - 314
    PB  - Science Publishing Group
    SN  - 2575-3843
    UR  - https://doi.org/10.11648/j.ijae.20230806.21
    AB  - To achieve economically sustainable and profitable farms, farmers must manage various factors that impact farm output and costs. Numerous factors can influence farms' output, including soil quality, environmental conditions, farm size, system, and farmers' experience. This study investigates the impact of investment increases and decreases on farm gross output, direct costs, and overhead costs in Ireland, utilizing the Deep Neural Networks method. The data source for this study is a farm survey of pastoral-based livestock systems from 1996 to 2018. The findings reveal that, on average, Irish farmers ranging from the second gross output decile to the fifth decile will experience an increase in their gross output of 9% to 12.6% if they increase their investment in machinery, livestock, and buildings by 10%. Surprisingly, farmers in the first, ninth, and tenth deciles will experience a decrease in their gross output of 7.7%, 0.05%, and 3.77%, respectively, if investments are increased. This discrepancy may be attributed to the fact that the lowest and highest gross output farms primarily rely on subsidies and have already made substantial investments, respectively, resulting in a lack of positive response to investment increases. As expected, a 10% increase in investments leads to an increase in direct and overhead costs across most deciles, while a decrease in investments results in a decrease in overhead costs across all deciles. The findings of this paper emphasize the significance of farm investments in agricultural output and costs, providing valuable insights for agricultural policymakers and other stakeholders in making research-based decisions.
    
    VL  - 8
    IS  - 6
    ER  - 

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Author Information
  • School of Geography, Archaeology and Irish Studies, University of Galway, Galway City, Ireland; Rural Economy and Development Programme, Teagasc - the Agriculture and Food Development Authority, Galway, Ireland

  • School of Geography, Archaeology and Irish Studies, University of Galway, Galway City, Ireland

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