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
- K Sreenivasulu, Sameer Yadav, G Pushpalatha, R Sethumadhavan, Anup Ingle, Romala Vijaya, Investigating environmental sustainability applications using advanced monitoring systems , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- N. Ruba, A. S. A. Khadir, Session password Blum–Goldwasser cryptography based user three layer authentication for secured financial transaction , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Shivani Goel, Rashmi Ashtt, Monali Wankar, Analyzing the impact of crime on quality of life in Old Delhi: A quantitative approach , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Roopesh K R, Jyothi Y, Manisha Bihani, Chandini C H, Nishanth D R, Maheshkumar Hondale, Sairashmi Samanta, Karthik G, Anu M, Neuroprotective effect of alcoholic extract of Selaginella bryopteris leaves in experimental models of epilepsy , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Thangatharani T, M. Subalakshmi, Development of an adaptive machine learning framework for real-time anomaly detection in cybersecurity , The Scientific Temper: Vol. 16 No. 08 (2025): The Scientific Temper
- Priyanka Dutta, Rianka Sarkar, A Sustainable Approach: Navigating through the Mishing Tribe’s Indigenous Knowledge and Disaster Management Strategies , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- S. Babiyana, V. Balachandran, Density Functional Theory calculations, Spectroscopic study, Reduced Density Gradient and molecular docking of 2-[3-(4-chlorophenyl)-5-(4-(propane-2-yl) phenyl-4, 5-dihydro-1H pyrozol-1-yl]-4-(nitrophenyl)-1, 3-thiazole , The Scientific Temper: Vol. 17 No. 03 (2026): The Scientific Temper
- Tarannum ., Anuja Pandey, Arti Rauthan, An evaluation of the impact of lean management practices on patients’ satisfaction at a small healthcare facility , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Vishnu Prasad C, Ramaprabha D, An assessment of growth indicators and intricacies of Udyam entities in the post-pandemic era , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Brigith Gladys L, J. Merline Vinotha, Sustainable rough multi-objective two-stage solid transportation problem of third-party e-commerce logistic providers with conditional fixed parameter on safety , The Scientific Temper: Vol. 16 No. 01 (2025): The Scientific Temper
<< < 35 36 37 38 39 40 41 42 43 44 > >>
You may also start an advanced similarity search for this article.

