Assessment of the migration impact on the socioeconomic conditions of the population in the Republic of Azerbaijan using the example of the Guba-Khachmaz economic region

In the article, the migration rate of the territory was calculated in the Guba-Khachmaz economic region during the years 2000–2022 as well as the impact on the socio-economic conditions of the population was evaluated. The migration rate of Gusar, Khachmaz, Guba, Shabran and Siyazan administrative districts, which are included in the economic region, is compared based on the economic development index of the farm. In addition, literature materials were analysed. As a result of the study, it turned out that occupying a favourable geographical position, the economic region has good reserves of oil and natural gas, has conditions for the development of fruit growing, vegetable growing, grain growing, animal husbandry and food processing enterprises. However, due to the difficulties of the transition period, problems with the production of agricultural products, the work of processing enterprises, the provision of services to the population negatively affected the resettlement of the population and increased the intensity of internal migration. Calculations were made and it was determined that the administrative district with the highest number of migrants is considered attractive for working-age migrants. Also, if comprehensive support for the development of the economy in the economic region is increased, it will prevent the migration of labour resources by having a positive effect on the socio-economic conditions and living standards of the population.

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-12-01
Primary Topic
Global Socioeconomic and Political Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of the migration impact on the socioeconomic conditions of the population in the Republic of Azerbaijan using the example of the Guba-Khachmaz economic region

SHILAP Revista de lepidopterología
Global Socioeconomic and Political Dynamics
article

Assessment of the migration impact on the socioeconomic conditions of the population in the Republic of Azerbaijan using the example of the Guba-Khachmaz economic region

article en

Abstract

In the article, the migration rate of the territory was calculated in the Guba-Khachmaz economic region during the years 2000–2022 as well as the impact on the socio-economic conditions of the population was evaluated. The migration rate of Gusar, Khachmaz, Guba, Shabran and Siyazan administrative districts, which are included in the economic region, is compared based on the economic development index of the farm. In addition, literature materials were analysed. As a result of the study, it turned out that occupying a favourable geographical position, the economic region has good reserves of oil and natural gas, has conditions for the development of fruit growing, vegetable growing, grain growing, animal husbandry and food processing enterprises. However, due to the difficulties of the transition period, problems with the production of agricultural products, the work of processing enterprises, the provision of services to the population negatively affected the resettlement of the population and increased the intensity of internal migration. Calculations were made and it was determined that the administrative district with the highest number of migrants is considered attractive for working-age migrants. Also, if comprehensive support for the development of the economy in the economic region is increased, it will prevent the migration of labour resources by having a positive effect on the socio-economic conditions and living standards of the population.

SHILAP Revista de lepidopterología
Openalex Percentile: Top 28%
Global Socioeconomic and Political Dynamics
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.