Econometric analysis of grain yields (using the example of the Republic of Azerbaijan)
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2025.16.2.01Keywords:
Productivity, Crops, Econometric analysis, Agriculture, Statistical modeling.Dimensions Badge
Issue
Section
License
Copyright (c) 2025 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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.Abstract
How to Cite
Downloads
Similar Articles
- Anil Kumar, Aditya Kumar, Synthesis, spectral characterization and antimicrobial effect of Cu(II) complexes of schiff Base Ligand, N-(3,4- dimethoxybenzylidene)-3-aminopyridine (DMBAP) Derived from 3,4-dimethoxybenzaldehyde and 3-aminopyridine , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Ishfaq Ahmad Malik, Showkat Ahmad Shah, Economic impact of COVID-19 on Ethiopian micro, small, and medium enterprises and policy measures , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Showkat Ahmad Shah, Netsanet Gizaw, Impact of selected macroeconomic variables on economic growth in Ethiopia: A time series analysis , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Pratik Ghosh, Sriram M, A systematic review of social media communication with respect to fashion brands , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- V. Yamuna , P. Kandhavadivu, Recent developments in the synthesis of superabsorbent polymer from natural food sources: A review , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Deena Merit C K , Haridass M, Analysis of multiple sleeps and N-policy on a M/G/1/K user request queue in 5g networks base station , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Kowsalya Ramasamy, Thiyagarajan Krishnan, Performance analysis of RF substrate materials in ISM band antenna applications , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Maysam A. Khabisi, Azar B. Masoudzade, Neda F. Rad, On the effectiveness of receiving teacher and peer feedback as a mediator on Iranian English as a Foreign Language learners’ writing skill: Mobile-mediated vs. direct instruction , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Rajeshwar Mukherjee, Uday S. Dixit, Understanding cosmopsychism based on stochastic electrodynamics from the perspective of the Indian knowledge system , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Temesgen Asfaw, Customer churn prediction using machine-learning techniques in the case of commercial bank of Ethiopia , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
<< < 26 27 28 29 30 31 32 33 34 35 > >>
You may also start an advanced similarity search for this article.

