scholarly journals Youth migration in Ukraine: regional dimension

Purpose. This study aims to analyze the regional differentiation of youth migration flows and typify the regions of Ukraine according to the characteristics of the migratory behavior of the youth. Accordingly, the research questions are as follows: 1) what is the relationship between economic indicators (income, unemployment, investment) and youth migration at the regional level? 2) how do the regions of Ukraine differ in the scale, structure, and dynamics of youth migration flows? 3) what types of regions can be identified, and can they be considered to determine the young people’s intention to migrate? Research methods. Pearson's correlation coefficients were calculated to assess the relationship between youth migration and economic indicators at the regional level. To prevent skewed indicators distribution, the city of Kyiv was excluded from the analysis. In order to study the regional differentiation of youth migration, we used cluster analysis and constructed Kohonens self-organizing maps. Based on the analysis of spatial and temporal (from 2002 to 2019) trends, we also developed an empirical typification of the regions according to the migration behavior of young people. Main findings. The analysis of spatial differences in youth migration in urban and rural areas shows the diversity and complicated multidirectionality of migration flows. Youth migration has been found to be linked to unemployment and investment attractiveness at the regional level. The assumption that the migration of young people from rural areas is influenced not only by economic factors but also by the lack of prospects for tertiary education, jobs, and the ‘culture of migration’ has been confirmed. The analysis of the relationship between income and out-migration scale shows some signs of a inverse U-shape curve. In general, the results of the study confirmed that at the regional level, economic indicators (unemployment, investment, and income) affect youth migration in Ukraine, but their impact needs to be studied in the broader context of place-specific human capital and life-course transition. Based on the results of cluster analysis and construction of Kohonen self-organizing maps, five clusters of Ukraine’s regions by the similarity of youth migration were identified. The analysis of youth migrations in 2002-2019 allowed to identify six models of their dynamics (monotonically decreasing, abrupt dynamics with a tendency to decrease, abrupt dynamics without changes, abrupt dynamics with a tendency to increase, monotonically increasing, without changes). According to the combination of selected clusters of regions and models of youth migration dynamics, we empirically typified Ukraine’s regions into three groups that can be considered those that, to some extent, determine the young people’s intention to migrate. However, further research should be aimed at analyzing the individualization of migration behavior and liquid migration of Ukrainian youth. Scientific novelty and practical value. The main novelty of the study is its focus on the spatial dimension of youth migration in Ukraine, particularly identifying the features of regional differentiation of migration flows, factors, trends and regional problems associated with youth migration. The practical value of the obtained results lies in the possibility for certain types of regions to become ‘guidelines’ for the migration policy in the regions of Ukraine.

2014 ◽  
Vol 1001 ◽  
pp. 526-533 ◽  
Author(s):  
Janka Beresecka ◽  
Jaroslav Kapusniak

Slovak landscape becomes visible in terms of tourism with the mark of a butterfly with spread wings. With the small wings the authors would like to express the size of the country and those big, huge potential, which is located in this area. The general professional public as well as development of economic indicators suggests that this potential is untapped. The paper is aimed to identify barriers of the development of small and medium-sized tourism enterprises providing services in rural areas, which may use this potential significantly. Then to define criteria and identify rural accommodation facilities, because of these reasons, there was limited ability to provide non-repayable foreign financial resources from the Structural Funds. A part of this work is to identify the problems with the size of these enterprises and to define the expected assistance from authorities at regional level, also in the field of fire protection.


Author(s):  
Walenty Poczta ◽  
Patrycja Beba

The objective of the research was to examine whether the current distribution Common Agricultural Policy structural funds (second pillar of CAP) between different objectives in particular macroregions corresponds to the regional differentiation of rural areas and agriculture in Poland. Policy objectives were identified according to RDP 2014-2020 priorities. Six macroregions have been adopted at regional level NUTS-1. In order to determine whether the directions of distribution correspond to regional variation, the linear correlation coefficient was calculated. The coefficient describes the correlation between synthetic variables describing the level of rural and agricultural development in macroregions of Poland and regional allocations of funds for rural development and agriculture in Poland in the years 2004-2013 according to the RDP 2014-2020 priorities. The results show the presence of moderate linear dependence or lack of it between the variables tested. This means that the previous division of CAP structural funds only partially took into account the regional differentiation of rural and agricultural areas.


2021 ◽  
Vol 12 (34) ◽  
pp. 317-340
Author(s):  
Yulia A. Siluyanova

The objective of this article is to deepen the understanding of the problem of human trafficking by analyzing the patterns of the distribution of traffic across countries, based on international statistics on various socio-economic indicators. We conducted cluster analysis using neuro network grouping algorithm of Kohonen self-organizing maps, basing on 44 variables reflecting different social and economical aspects for 144 countries. Countries were grouped according to the type and level of risk of trafficking-related crimes, and traffic distribution maps were built based on generally accepted hypotheses about traffic factors. As a result of the study, a number of hypotheses explaining the nature of traffic were tested. The results reveal the linkage between the risk of incoming and outgoing trafficking and the socio-economic parameters of the countries and groups.


2021 ◽  
pp. 117-131
Author(s):  
Olha VYSOCHAN ◽  
Oleh VYSOCHAN ◽  
Vasyl HYK

The work is devoted to the issue of segmentation of charitable organizations for structuring the sector of non-profit organizations of Ukraine using cluster analysis tools using software R for automated data processing. The four-cluster and five-cluster models were constructed using the K-means method, the suitability for clustering of which was checked using the Hopkins’ Index (H statistics). The developed four-cluster model demonstrated a significant level of validity in terms of correspondence between data and the stability of their structure. The basic indicators of financial and economic activity of charitable organizations were used as criteria for clustering: the number of staff, charitable assistance received and funds spent on the maintenance of the organization in the reporting period. It was found that the clusters of charitable organizations of Ukraine differ in the scale of activity, the number of funds raised, the number of costs for their own maintenance and the relationship between these indicators. The study demonstrated the existence in Ukraine of the most influential cluster of local charities that address social issues exclusively at the regional level, due to the small financial resources involved to support their activities. Such organizations are system-creating for the entire nonprofit sector in Ukraine, their importance is manifested in the most rapid response to the needs of recipients through the implementation of small charitable projects.


SIMULATION ◽  
2021 ◽  
pp. 003754972097512
Author(s):  
Hung Khanh Nguyen ◽  
Raymond Chiong ◽  
Manuel Chica ◽  
Richard H Middleton

Recent large-scale migration flows from rural areas of the Mekong Delta (MKD) to larger cities in the South-East (SE) region of Vietnam have created the largest migration corridor in the country. This migration trend has further contributed to greater rural–urban disparities and widened the development gap between regions. In this study, our aim is to understand the migration dynamics and determine the most critical factors affecting the behavior of migrants in the MKD region. We present an agent-based model and incorporate the Theory of Planned Behavior to effectively break down migration intention into related components and contributing factors. A genetic algorithm is used for automated calibration and sensitivity analysis of model parameters, in order to validate our agent-based model. We further explore the migration behavior of people in certain demographic groups and delineate migration flows across cities and provinces from the MKD to the SE region.


2020 ◽  
Vol 122 (3) ◽  
pp. 995-1010 ◽  
Author(s):  
Pilar Fernández-Ferrín ◽  
Belén Bande ◽  
David Martín-Consuegra ◽  
Estrella Díaz ◽  
Elisabeth Kastenholz

PurposeThis study's main objective is to analyse the role of the consumer's ethnocentrism as a potential segmentation basis and to detect product origin-sensitive groups. The relationship between the consumer's regional ethnocentrism, local and regional identity and corresponding valuation and purchase of food products from a region is also examined.Design/methodology/approachThe responses of 358 consumers residing in two Spanish regions are analysed by means of a mediation analysis and a cluster analysis.FindingsThe results suggest the convenience of considering ethnocentric consumer tendencies, also at the regional level, when studying attitudes, valuation, information search and effective purchase of foods of diverse categories and origins.Originality/valueThe main contributions of this work derive from the assessment of consumer ethnocentrism at a subnational level (which is much less present in the literature) and the evidence of its usefulness for segmenting the market and detecting groups of origin-sensitive consumers, which can be useful to companies that produce and market food products in different regions.


Land ◽  
2022 ◽  
Vol 11 (1) ◽  
pp. 90
Author(s):  
Dazhi Yang ◽  
Wei Song

Traffic development can promote the flow of goods and people, which has long been widely considered to have a poverty reduction effect but, in fact, is not unbreakable. The development of traffic is similar to economic and social development, with internal and external characteristics, but few studies have explored the differences between the effects of their poverty reduction. Taking the land traffic of the Chengdu-Chongqing Economic Zone (CCEZ) as an example, this paper represents traffic accessibility at a county level by relying on the average internal and external travel times. Rural poverty was identified by the pentagon of livelihoods to measure the Multidimensional Development Index (MDI). Furthermore, a Geographically Weighted Regression (GWR) model was used to explore the relationship and spatial differentiation characteristics between county traffic accessibility and poverty. The results show that the traffic accessibility of the counties in the CCEZ was quite different. The average internal travel time was between 0.16 and 7 h, and the average external travel time was between 4.2 and 10.6 h. The radiation gradient structure centered on Chengdu municipal districts and the Chongqing main urban area, and the accessibility level needed to be improved. Furthermore, the MDI values of each county in the CCEZ showed the structural characteristics of “large bottom and small top”; additionally, the higher the high-value group of MDI, the stronger the spatial aggregation and the more obvious the characteristics of regional differentiation. Finally, the relationship between traffic accessibility and poverty in counties cannot be generalized. The improvement of external traffic accessibility obviously helped to improve the poverty situation in the CCEZ; the improvement of internal traffic accessibility had a multidimensional impact, but it was mainly due to the occupation or spillover of livelihood capital in rural areas; counties accounting for 82.74% would even reduce the MDI and, thus, aggravate poverty.


Author(s):  
B.A. Voronin ◽  
◽  
I.P. Chupina ◽  
Ya.V. Voronina ◽  
◽  
...  

The article discusses a non-standard view of the formation of human capital for work in organizations of the agricultural sector of the economy, in the context of modern socio-economic transformations. In the classical sense, human capital for agriculture should be formed and developed in rural areas. But in real life, this is not always the case, because there are many factors that prevent the classical solution of this problem. First, the demographic factor affects, second, social and household factors, and third, in many rural areas there are no working agricultural organizations where qualified agricultural specialists can work. All these and other circumstances actualize the problem of the quality of human capital in rural areas in relation to the development of agricultural production.


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