Econometric analysis of grain yields (using the example of the Republic of Azerbaijan)

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Published

20-03-2025

DOI:

https://doi.org/10.58414/SCIENTIFICTEMPER.2025.16.2.01

Keywords:

Productivity, Crops, Econometric analysis, Agriculture, Statistical modeling.

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Issue

Vol. 16 No. 02 (2025): The Scientific Temper

Section

Research article

License

Copyright (c) 2025 The Scientific Temper

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Authors

  • Abbasova Sona Jamal Agribusiness and Administration Faculty, Agribusiness and Management Department, Azerbaijan State Agricultural University, Ataturk Avenue, Ganja City, Azerbaijan.
  • Aliyev Sabit Shakir Agribusiness and Administration Faculty, Agribusiness and Management Department, Azerbaijan State Agricultural University, Ataturk Avenue, Ganja City, Azerbaijan.
  • Mahmudov Elmir Heydar Agribusiness and Administration Faculty, Agribusiness and Management Department, Azerbaijan State Agricultural University, Ataturk Avenue, Ganja City, Azerbaijan.
  • Museyibli Emin Bakir Agribusiness and Administration Faculty, Agribusiness and Management Department, Azerbaijan State Agricultural University, Ataturk Avenue, Ganja City, Azerbaijan.
  • Nadirkhanova Dilshat Adalat Agribusiness and Administration Faculty, Agribusiness and Management Department, Azerbaijan State Agricultural University, Ataturk Avenue, Ganja City, Azerbaijan.

Abstract

This article is an econometric analysis of the influence of factors affecting the yield of grain crops in the Republic of Azerbaijan. In the course of the work, the dependence of yield on climatic, economic and agrotechnical factors was assessed based on correlation and regression analysis. The results of statistical modeling were formed, which allows identifying the most important determinants, such as the number of meteorological workers, the level of mechanization of production at the enterprise, the average annual number of crops, the use of mineral fertilizers, and government funding. The data obtained can be used to develop detailed recommendations for increasing the efficiency of grain crop production, as well as developing forecast models to improve planning in agriculture.

How to Cite

Jamal, A. S., Shakir, A. S., Heydar, M. E., Bakir, M. E., & Adalat, N. D. (2025). Econometric analysis of grain yields (using the example of the Republic of Azerbaijan). The Scientific Temper, 16(02), 3693–3697. https://doi.org/10.58414/SCIENTIFICTEMPER.2025.16.2.01

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