CLUSTER ANALYSIS OF THE EFFICIENCY OF AGRICULTURAL ENTERPRISES OF VARIOUS FORMS OF OWNERSHIP

The study examines the application of cluster analysis for evaluating the efficiency of agricultural enterprises of different ownership forms. The methodological principles of clustering and the system of indicators for grouping agricultural enterprises are analyzed. The main clusters of agricultural enterprises by efficiency level are identified, and key factors influencing their formation are revealed.

Authors

Publication Details

Published
2025-05-01
DOI
https://doi.org/10.31521/978-617-7149-86-5-126
Primary Topic
Digitalization and Economic Development in Agriculture
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CLUSTER ANALYSIS OF THE EFFICIENCY OF AGRICULTURAL ENTERPRISES OF VARIOUS FORMS OF OWNERSHIP

І. С. Поточилова, O. Bezushko
Digitalization and Economic Development in Agriculture
article

CLUSTER ANALYSIS OF THE EFFICIENCY OF AGRICULTURAL ENTERPRISES OF VARIOUS FORMS OF OWNERSHIP

І. С. Поточилова, O. Bezushko
article en

Abstract

The study examines the application of cluster analysis for evaluating the efficiency of agricultural enterprises of different ownership forms. The methodological principles of clustering and the system of indicators for grouping agricultural enterprises are analyzed. The main clusters of agricultural enterprises by efficiency level are identified, and key factors influencing their formation are revealed.

Zero hunger
Openalex Percentile: Top 79%
Digitalization and Economic Development in Agriculture
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.