MODELS FOR ASSESSING THE LEVEL OF COMPETITIVENESS OF REGIONS

This article provides an analysis of the most common methods for assessing the competitiveness of regions in Russia and abroad.The author identified the strengths and weaknesses of the considered methods, and also derived a general algorithm for assessing regional competitiveness.

Authors

Institutions

Publication Details

Published
2024-12-11
DOI
https://doi.org/10.34660/inf.2022.14.65.001
Primary Topic
Global Trade and Competitiveness
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MODELS FOR ASSESSING THE LEVEL OF COMPETITIVENESS OF REGIONS

N.N. Kiseleva, R.M. Arsanova
Global Trade and Competitiveness
article

MODELS FOR ASSESSING THE LEVEL OF COMPETITIVENESS OF REGIONS

N.N. Kiseleva, R.M. Arsanova
article en

Abstract

This article provides an analysis of the most common methods for assessing the competitiveness of regions in Russia and abroad.The author identified the strengths and weaknesses of the considered methods, and also derived a general algorithm for assessing regional competitiveness.

Saint Petersburg State University of Economics (RU), Rostov State University of Economics (RU), Pyatigorsk State University (RU), V.I. Vernadsky Crimean Federal University (UA), Yaroslav-the-Wise Novgorod State University (RU)
Openalex Percentile: Top 61%
Global Trade and Competitiveness
DOIOpen Access PDFOpenAlex
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.