Examining the Impact of Intellectual Migration Dynamics Digitalization on Economic Well Being

This research analyzes the interaction of personal remittances with migration patterns and an array of technological variables to better understand their influence on the economy. It uses an OLS regression model on a dataset containing 11 entities to isolate the effects of selected variables, which include the natural log of personal remittances, the total count of people left in foreign countries, national internet servers, as well as mobile subscriptions. This study asserts that the increased incentive for remittances at the macroeconomic level leads to more economic development. However, as for the basic migration and technological variables, their contribution is minimal implying that technology accessibility is not sufficient to spur economic growth. The study forecasts the level of coherence in the measurement tools used through calculating a Cronbach's alpha which indicates adequate reliability but still calls for enhanced item relations due to the weak averages observed. The overall aim of the research study is to determine how policies can be used to increase remittance flows which would in turn stimulate economic growth. Such information will contribute to the existing frameworks of economic development in the context of migration policies and serve as a guide for practitioners.

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Published
2024-12-11
DOI
https://doi.org/10.1145/3726122.3726296
Primary Topic
Migration and Labor Dynamics
Type
article
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Examining the Impact of Intellectual Migration Dynamics Digitalization on Economic Well Being

Bakhtiyor Islamov, Sulkhiya Gazieva, Zulaykho Kadirova
Migration and Labor Dynamics
article

Examining the Impact of Intellectual Migration Dynamics Digitalization on Economic Well Being

Bakhtiyor Islamov, Sulkhiya Gazieva, Zulaykho Kadirova
article en

Abstract

This research analyzes the interaction of personal remittances with migration patterns and an array of technological variables to better understand their influence on the economy. It uses an OLS regression model on a dataset containing 11 entities to isolate the effects of selected variables, which include the natural log of personal remittances, the total count of people left in foreign countries, national internet servers, as well as mobile subscriptions. This study asserts that the increased incentive for remittances at the macroeconomic level leads to more economic development. However, as for the basic migration and technological variables, their contribution is minimal implying that technology accessibility is not sufficient to spur economic growth. The study forecasts the level of coherence in the measurement tools used through calculating a Cronbach's alpha which indicates adequate reliability but still calls for enhanced item relations due to the weak averages observed. The overall aim of the research study is to determine how policies can be used to increase remittance flows which would in turn stimulate economic growth. Such information will contribute to the existing frameworks of economic development in the context of migration policies and serve as a guide for practitioners.

Tashkent State University of Oriental Studies (UZ), Tashkent State University of Economics (UZ)
Reduced inequalities
Openalex Percentile: Top 51%
Migration and Labor Dynamics
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Examining the Impact of Intellectual Migration Dynamics Digitalization on Economic Well Being — Bakhtiyor Islamov, Sulkhiya Gazieva, et al. · (2024) | TGRS Research Map | TGRS