Evidence map›Paper›PMID 39687099›Full record

ArticleHeliyon2024

Analyzing the impact of competitiveness factors on increasing grain production in Kazakhstan and Russia.

Denis Syromyatnikov, Svetlana Salimova, Eugeny Kolpak, Almas Mukhametov

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Denis SyromyatnikovDepartment of Economy and Foreign Economic Activity, North-Caucasus Federal University, Stavropol, Russian Federation.
Svetlana SalimovaDepartment of English Language for Professional Purposes, Ogarev Mordovia State University, Saransk, Russian Federation.
Eugeny KolpakDepartment of Computational Methods in Continuum Mechanics, Saint Petersburg State University, Saint Petersburg, Russian Federation.
Almas MukhametovDepartment of Technology and Safety of Food Products, Kazakh National Agrarian Research University, Almaty, Kazakhstan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main research objective of this study is to conduct a detailed econometric analysis of the factors affecting the competitiveness of cereal production in Northern Kazakhstan and the Volga region of Russia, focusing on climatic conditions, irrigation systems, and soil cultivation technologies. The assessment of grain production competitiveness was considered for the period 2018-2020 in the context of the following indicators: grain yield, grain sown area, and gross grain harvest. The data analysis also included indicators of annual domestic grain consumption and total grain production in Kazakhstan and Russia. The study found that over the past few years, in the Volga region of Russia, wheat yields have been stably higher than those in Northern Kazakhstan, where the situation in grain production remains unstable. In the forthcoming decades, the production of grains is expected to exert a substantial influence on both regional and global food security. Russia's grain production is the most important direction of national agriculture, which has the greatest potential for development in the near future. Kazakhstan, in turn, is poised to improve its competitiveness, given various opportunities to foster the growth of grain production. However, there is a need to modernize agricultural technologies and introduce climate-resistant agronomic systems.

Indexed as

AgricultureCompetitivenessEvaluationKazakhstanProductionRussiaWheat yield

Identifiers

PMID39687099
PMCPMC11647814

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.