ASSESSING THE EFFICIENCY OF THE ORGANIZATIONAL AND ECONOMIC MECHANISM FOR THE DEVELOPMENT OF TRANSPORT AND LOGISTICS SYSTEMS: A MULTI-CRITERIA APPROACH

The article develops a multi-criteria economic and mathematical model for assessing the efficiency of the organizational and economic mechanism governing the development of a transport and logistics system in a landlocked industrial economy. Unlike outcome-oriented international indices, the model examines the internal structure of the mechanism: it normalizes heterogeneous indicators to a common [0, 1] scale, aggregates them into four functional blocks using weights derived through the analytic hierarchy process, and calculates an integral efficiency coefficient, a functional imbalance index, a stability coefficient, and an adaptability coefficient. A four-level interpretation scale (crisis, constraining, satisfactory, and high) links each level to a management regime and identifies the binding constraint based on the weakest-link principle. Applied to Uzbekistan's data for 2020–2025, the model yields an integral coefficient of 0.413, an imbalance index of 0.233, and a stability coefficient of 0.767. The infrastructure and technology block (0.253) is identified as the binding constraint. Three scenarios through 2030 indicate that the integral coefficient could reach 0.468, 0.628, or 0.792, depending on the proportion of the gap relative to the normative level closed in each block.

Authors

Institutions

Publication Details

Journal
ECONOSCITECH INTEGRATION
Published
2026-11-07
DOI
https://doi.org/10.5281/zenodo.24042134
Primary Topic
Transport and Logistics Innovations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

ASSESSING THE EFFICIENCY OF THE ORGANIZATIONAL AND ECONOMIC MECHANISM FOR THE DEVELOPMENT OF TRANSPORT AND LOGISTICS SYSTEMS: A MULTI-CRITERIA APPROACH

Marguba Mirabdullayevna Agzamova
ECONOSCITECH INTEGRATION
Transport and Logistics Innovations
article

ASSESSING THE EFFICIENCY OF THE ORGANIZATIONAL AND ECONOMIC MECHANISM FOR THE DEVELOPMENT OF TRANSPORT AND LOGISTICS SYSTEMS: A MULTI-CRITERIA APPROACH

Marguba Mirabdullayevna Agzamova
article en

Abstract

The article develops a multi-criteria economic and mathematical model for assessing the efficiency of the organizational and economic mechanism governing the development of a transport and logistics system in a landlocked industrial economy. Unlike outcome-oriented international indices, the model examines the internal structure of the mechanism: it normalizes heterogeneous indicators to a common [0, 1] scale, aggregates them into four functional blocks using weights derived through the analytic hierarchy process, and calculates an integral efficiency coefficient, a functional imbalance index, a stability coefficient, and an adaptability coefficient. A four-level interpretation scale (crisis, constraining, satisfactory, and high) links each level to a management regime and identifies the binding constraint based on the weakest-link principle. Applied to Uzbekistan's data for 2020–2025, the model yields an integral coefficient of 0.413, an imbalance index of 0.233, and a stability coefficient of 0.767. The infrastructure and technology block (0.253) is identified as the binding constraint. Three scenarios through 2030 indicate that the integral coefficient could reach 0.468, 0.628, or 0.792, depending on the proportion of the gap relative to the normative level closed in each block.

ECONOSCITECH INTEGRATION
Tashkent State Transport University (UZ)
Industry, innovation and infrastructure
Openalex Percentile: Top 19%
Transport and Logistics Innovations
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.

Laika access coming soon