ASSESSMENT OF REGIONAL HANDICRAFT SECTOR DEVELOPMENT BASED ON A MULTIPLE REGRESSION MODEL (THE CASE OF KASHKADARYA REGION)

This paper proposes a four-factor multiple regression model to assess the development of the regional handicraft sector. The model is tested on real statistical data from handicraft enterprises in Kashkadarya region (n = 20), revealing a statistically significant effect of employment share and the volume of services on output (R² = 0.9996). Based on the findings, practical recommendations for the development of the handicraft sector are proposed.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-17
DOI
https://doi.org/10.5281/zenodo.22808420
Primary Topic
Education, Innovation and Language Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

ASSESSMENT OF REGIONAL HANDICRAFT SECTOR DEVELOPMENT BASED ON A MULTIPLE REGRESSION MODEL (THE CASE OF KASHKADARYA REGION)

Umida Hamza qizi Bektosheva
Zenodo (CERN European Organization for Nuclear Research)
Education, Innovation and Language Studies
article

ASSESSMENT OF REGIONAL HANDICRAFT SECTOR DEVELOPMENT BASED ON A MULTIPLE REGRESSION MODEL (THE CASE OF KASHKADARYA REGION)

Umida Hamza qizi Bektosheva
article en

Abstract

This paper proposes a four-factor multiple regression model to assess the development of the regional handicraft sector. The model is tested on real statistical data from handicraft enterprises in Kashkadarya region (n = 20), revealing a statistically significant effect of employment share and the volume of services on output (R² = 0.9996). Based on the findings, practical recommendations for the development of the handicraft sector are proposed.

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Openalex Percentile: Top 2%
Education, Innovation and Language Studies
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.

ASSESSMENT OF REGIONAL HANDICRAFT SECTOR DEVELOPMENT BASED ON A MULTIPLE REGRESSION MODEL (THE CASE OF KASHKADARYA REGION) — Umida Hamza qizi Bektosheva · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS