Knowledge, Migration and Countries of Muslim World – Spatial Impacts and Prospects

The article presents an empirical examination of the spatial dependence of emigrants and immigrants on the indicators of a knowledge based economy. The article is motivated by a knowledge gap among countries of the Muslim world, worsening demographic conditions, the growing importance of knowledge in the world economy and geographical proximity. The existence of spatial distribution and autocorrelation among migrants is examined through the spatial lag and the spatial error models. Although one can assume that the presence of both – the number of emigrants and the number of immigrants have similar preconditions, with slight variables - emigrants tend to indicate the dependence on the nearest neighbours. Therefore studying of emigrants among the countries of Muslim world is done better through spatial models and is more appropriate than the estimate regression coefficients through ordinary least square regression. When looking at the knowledge economy, findings also suggest that the number of internet users and the number of journal articles influence the number of emigrants (and also number of immigrants). The human desire to leave a country is also driven by other factors, for example tariff and nontariff barriers, average years of schooling, industrial production growth rate and the number of computers in each country.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-30
DOI
https://doi.org/10.5281/zenodo.21072216
Primary Topic
Spatial and Panel Data Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Knowledge, Migration and Countries of Muslim World – Spatial Impacts and Prospects

Prochádzková Martina Prochádzková, Tarjam Ali Bisher Ahmed, Saleh Omer Daya Abdalbast
Zenodo (CERN European Organization for Nuclear Research)
Spatial and Panel Data Analysis
article

Knowledge, Migration and Countries of Muslim World – Spatial Impacts and Prospects

Prochádzková Martina Prochádzková, Tarjam Ali Bisher Ahmed, Saleh Omer Daya Abdalbast
article en

Abstract

The article presents an empirical examination of the spatial dependence of emigrants and immigrants on the indicators of a knowledge based economy. The article is motivated by a knowledge gap among countries of the Muslim world, worsening demographic conditions, the growing importance of knowledge in the world economy and geographical proximity. The existence of spatial distribution and autocorrelation among migrants is examined through the spatial lag and the spatial error models. Although one can assume that the presence of both – the number of emigrants and the number of immigrants have similar preconditions, with slight variables - emigrants tend to indicate the dependence on the nearest neighbours. Therefore studying of emigrants among the countries of Muslim world is done better through spatial models and is more appropriate than the estimate regression coefficients through ordinary least square regression. When looking at the knowledge economy, findings also suggest that the number of internet users and the number of journal articles influence the number of emigrants (and also number of immigrants). The human desire to leave a country is also driven by other factors, for example tariff and nontariff barriers, average years of schooling, industrial production growth rate and the number of computers in each country.

Zenodo (CERN European Organization for Nuclear Research)
Technical University of Košice (SK), "National Medical Research Center for Rehabilitation and Balneology" of the Ministry of Health of the Russian Federation (RU)
Reduced inequalities
Openalex Percentile: Top 3%
Spatial and Panel Data Analysis
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.