age | GYM group | No-GYM group |
7 | N = 3 | N = 3 |
8 | N = 6 | N = 6 |
9 | N = 4 | N = 4 |
10 | N = 1 | N = 1 |
Total | N = 14 | N = 14 |
This article focuses on analyzing the relationship between migration, financial stability, and the ability of countries to support sustainable development and inclusive growth. This study is based on a sample of academic articles from the Scopus database, where it was found that the chosen topic, although niche, has become increasingly popular since 2017. The analysis results indicate that most authors who publish papers on this topic mainly focus on other research issues, so their research is only secondary. This leads to a noticeable deficit in systematic research in the field. This article examines the geographical distribution of research in detail, emphasizing that the most active research works are conducted in Europe, China, and the USA. The absence of strong research networks is also indicated, which may affect the development and depth of analysis in this field. The collected data show that the topics of publications change depending on economic, social, and political factors in the international arena. Identifying such dynamics is vital for understanding how changes in the global economy and politics can affect the sustainable development strategies of countries in the context of migration processes and financial sustainability. This study contributes to the understanding of the complex interplay between migration, economic stability, and sustainable development strategies, pointing to the need for further in-depth analyses and interdisciplinary approaches in studying these issues.
Citation: Serhiy Lyeonov, Liudmyla Saher, Ihor Vakulenko, Yuriy Bilan. Exploring the Nexus of migration, financial environments, and sustainability: A bibliometric insight into global research trends[J]. Green Finance, 2025, 7(2): 247-287. doi: 10.3934/GF.2025010
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This article focuses on analyzing the relationship between migration, financial stability, and the ability of countries to support sustainable development and inclusive growth. This study is based on a sample of academic articles from the Scopus database, where it was found that the chosen topic, although niche, has become increasingly popular since 2017. The analysis results indicate that most authors who publish papers on this topic mainly focus on other research issues, so their research is only secondary. This leads to a noticeable deficit in systematic research in the field. This article examines the geographical distribution of research in detail, emphasizing that the most active research works are conducted in Europe, China, and the USA. The absence of strong research networks is also indicated, which may affect the development and depth of analysis in this field. The collected data show that the topics of publications change depending on economic, social, and political factors in the international arena. Identifying such dynamics is vital for understanding how changes in the global economy and politics can affect the sustainable development strategies of countries in the context of migration processes and financial sustainability. This study contributes to the understanding of the complex interplay between migration, economic stability, and sustainable development strategies, pointing to the need for further in-depth analyses and interdisciplinary approaches in studying these issues.
Clinical and experimental evidence shows that physical exercise (PE) is able to cause structural and functional brain changes [1]–[3]. These modifications affect the processes of brain functioning and psychological well-being [4],[5]. The multiple benefits observed in individuals who practice PE have contributed to deepen and characterize these effects. According to current knowledge, PE is a protective factor for different pathologies and mental disorders, such as anxiety and depression and it is an effective weapon to counteract physiological and pathological aging [6],[7]. Many studies have focused on understanding the biological mechanisms that regulate the phenomena of neuroplasticity induced by PE [5], as well as on correlating PE and improvement of cognitive functions [8]. While in adults these issues have been extensively investigated and the ongoing research is in an attempt to understand which type of PE is needed to produce beneficial effects (i.e. aerobic vs. anaerobic) [9]–[11], the studies on children and adolescents are not well deepened. In fact, the few studies performed on children and adolescents mainly concern the effects of PE in relation to academic successes [12],[13]. This approach probably depends on the difficulty in comparing data obtained in children performing PE with those obtained in sedentary children, because typically developing children spontaneously move, run, play, and do not stand still. Therefore, selecting a “real” control group becomes difficult. However, evidence show that children with higher levels of PE display best performances in learning and memory tasks in comparison to children who do not play any sport [13]–[15]. Interestingly, these beneficial effects are associated with larger size of the hippocampal regions and increased volume of cortical areas involved in action planning and decision-making processes [16]. Furthermore, positive effects of PE correlated to academic achievement have been observed on attention, working memory [17]–[21], and flexible modulation of cognitive control processes [22]–[24]. Recently, it has been reported that competitive young athletes display better performances in mental imagery skills in comparison to non-athletes ones [25]. These and other evidence suggest that the sport trains all brain processes. In fact, each action is cognition (i.e. elaboration, planning, choice of strategy, decision making). Therefore, any type of PE (or sport) is able at exercising brain functioning determining improvements in behaviours [5]. Then, PE allows the development of many cognitive domains and for this reason it is a fundamental factor for growth.
Although evidence has documented that PE is an effective tool for improving academic achievements, cognitive abilities, and emotion regulation [21],[26], the findings are rather heterogeneous both for type of PE analyzed and assortment of cognitive assessment [13].
Like other cognitive domains already investigated in relation to PE, such as executive function, also the spatial cognition appears to be crucial in growth. In particular, to explore any environment, it is necessary to know what environmental elements are present, where they are positioned [27]–[29], and how to implement strategies to reach (or avoid) them [30],[31]. These components, commonly defined “declarative knowledge” and “procedural knowledge” [32],[33], are fundamental in everyday life because both of them allow to orient oneself, move from place to place, form a cognitive map of environments and places, and interact with others [34]. Moreover, the exploration of an environment implies putting into action specific navigational strategies (praxis, taxis, place) that generally develop during the first decade of life [29],[35]. In addition, spatial abilities become essential also for the development of other cognitive domains. For example, closely linked to them are the attentional processes: to move it is necessary to direct the attention towards objects to be reached or obstacles to be avoid [29]. Moreover, proper functioning of spatial abilities becomes a prerequisite also for the socialization and, last but not least, to achieve autonomy. Although PE is closely related to spatial exploration and to the other cognitive domains, there is still no evidence that PE may affect spatial knowledge in children and adolescents, as it does in adults and especially in the elderly. Understanding how much PE is able to develop spatial abilities it could be useful to promote physical education in schools and a lifestyle based on PE.
The objective of the present study was to evaluate the capacities of short-term spatial memory in children practicing artistic gymnastics and to compare their performances with those of children practicing no sport. As PE we chose the artistic gymnastics because it involves aerobic and anaerobic components, requires a combination of explosive muscle contractions, elicits high heart rate [36]. In addition to these characteristics, artistic gymnastics trains all body muscles and develops strength, coordination, balance, rhythm, speed, appearing thus a complex and complete PE to be correlated to orientation spatial processes. It is important to underline as some of artistic gymnastics characteristics are very important for cognition. Indeed, while aerobic activity stimulates blood circulation in the neural circuits (i.e the prefrontal circuits are correlated to visuospatial working memory) [5],[9],[37], the coordination, the rhythm and the speed allow to move efficiently in an environment to explore it comprehensively and with little effort.
In the present study, we have chosen to study a specific aspect of spatial abilities that is visuospatial memory easily investigated with the methodological tools present in the literature. In particular, to evaluate visuospatial abilities, we used the table version of the Radial Arm Maze (table-RAM) [29], a task that reproduces in small scale the classical walking RAM task [30],[31],[35]. While the walking RAM task allows to separately evaluate declarative from procedural components, and to study allocentric memory processes, the table-RAM allows to evaluate visuospatial information processing correlated to peripersonal space [29]. In accordance with our previous studies [29]–[31], we administered the forced-choice RAM paradigm that allow evaluating short-term visuospatial memory disentangling short-term memory from working memory abilities.
Fourteen preadolescent girls practicing artistic gymnastics (GYM group) and 14 preadolescent girls who did not practice any sport (no-GYM group) were recruited to participate in the current study. All participants were aged between 7 and 10 years (mean chronological age: 8.21 years ± 1.1) and were right-handed and native Italian speakers (Table 1). There was no significant difference in the mean age between groups (F1,26 = 0.28, p = 0.87).
age | GYM group | No-GYM group |
7 | N = 3 | N = 3 |
8 | N = 6 | N = 6 |
9 | N = 4 | N = 4 |
10 | N = 1 | N = 1 |
Total | N = 14 | N = 14 |
In the present study, only children found to be behaviourally normotypic on the psychological evaluation were considered. Participants belonging to GYM group had a minimum of 2 years of training in artistic gymnastics with a frequency of three times a week, while participants belonging to no-GYM group had no continuous experience in any sport. No-GYM group was formed by children of different classes of the same primary school attended by participants of GYM group. As a criterion for the inclusion in the no-GYM group, the negative response of their parents to the question “Has your daughter ever played sports after school?” was considered.
BVN 5–11 neuropsychological battery [38] was administered only to GYM group in order to evaluate the potential correlations between the benefits induced by artistic gymnastics and cognitive performance.
Written informed consent was obtained from all the parents of the participants. The study had been approved by the Local Ethics Committee of Fondazione Santa Lucia, Rome, Italy and was carried out in accordance with the declaration of Helsinki.
The table-RAM is made of a round central platform (5 cm in diameter). Eight white arms (3 cm wide × 25 cm long) depart the central platform like the spokes of a wheel. At the end of each arm, a small black round cap (2.5 cm in diameter × 2.8 cm height) covered the reward (a little coloured wooden ladybug). As detailed in the next section, in the first phase of the task, four arms of the maze were closed by pieces of black plastic (3.5 cm wide × 1 cm long × 1 cm height) (Figure 1). The table-RAM was placed on an orange desk. All extra-maze cues (windows, paintings, posters, doors, and experimenter) were held in constant spatial relations throughout the experiment. The RAM arms were virtually numbered clockwise, arm 1 being in front of the children. Participants had visual access to the table-RAM only during the experiment.
In according to Foti and colleagues [29], the table-RAM task was presented as “Ladybug game”. The child had to move the older sister ladybug (“Ladybug”) which was placed on the central platform, to find its sisters hidden inside the caps at the end of each arm of the RAM. To increase participants' motivation, at the end of each trial the child received a reward (a coin) in exchange for the ladybugs discovered. All children performed the table-RAM forced-choice paradigm after a short training (3 trials) of habituation to the task in the classic free-choice paradigm. In this training phase, the child could explore the eight arms freely to find the ladybugs hidden inside the caps at the ends of each arm.
After the habituation training, all children were tested in the forced-choice paradigm consisting of two phases. In the first phase, although all arms contained the ladybugs on them, only four arms (for example, arms 1, 3, 4, 7) were accessible, because the remaining four arms were closed at the proximal end of each arm (Figure 1). Different angles separated the open arms to avoid the children reaching the solution through the employment of a procedural strategy (as occurring exploring for example arms 1, 2, 3, 4 or 2, 4, 6, 8). The task started with the Ladybug placed on the central area of the maze and the participant was allowed to explore the four open arms by moving the Ladybug to collect the four accessible ladybugs. Afterwards, each child was invited to interrupt the game for 120 s before the second phase of the task started. During this time, the child was kept in a different place and invited to chat with the experimenter. In the second phase, the participant was allowed moving the Ladybug in all arms, but only the four previously closed arms were rewarded (since the other four ladybugs had been collected in the previous phase). The arrangement of the table-RAM and the child's position was identical to the first phase. The successes in visiting only the rewarded arms essentially depended on remembering which arms had already been visited, stressing the memory component and neglecting the search patterns. In according to procedures describes by Foti and colleagues [29], each participant performed three trials a day for two consecutive days (two sessions), with an inter-trial interval of at least 1 h. In each of the six trials, a different configuration of closed arms was used. At the beginning of the first trial, the experimenter explained the task to each participant using the same simple verbal instructions (“Do you remember the Ladybug that had to find its sisters under the black upturned caps? Well, the mischievous sisters have hidden themselves again. However, they do not know you're there to help the Ladybug find them. Now, some corridors are blocked. You have to let the Ladybug enter only in the arms that are open. Go!”). The verbal instructions after the 120 s interval were: “Uh! Something now has changed, there are no blocks anymore. Then, the Ladybird can freely go and look for the other sisters! Good job!”).
The parameters considered in the second phase were the entries, defined as the total number of the visited arms (correct and incorrect); spatial span, defined as the longest sequence of correctly visited arms (ranged from 1 to 4); short-term memory errors, defined as the re-visits into already visited arms. This parameter was broken down further into two error subtypes: across-phase errors, defined as visits into an arm that had been visited during the first phase of the same trial; within-phase errors, defined as re-visits into an arm already visited in the same phase. While the across-phase errors are correlated to short-term memory, the within-phase errors to working memory. Briefly for each table-RAM parameter (entries, spatial span, short-term memory errors) obtained during task, the average of the correct responses and errors were computed for each participant.
The choices made by the participants during the forced-choice task were videotaped and registered manually.
All data were presented as the mean ± SD and were first tested for normality (Shapiro-Wilk's test) and homoscedasticity (Levene's test). When normally distributed, data were analyzed by using one-way ANCOVA, the age was entered as covariate of no interest (i.e. entries, spatial-span and short-term errors). When data were not normally distributed, non-parametric analyses (Mann-Whitney U, Wilcoxon's test) were used (i.e., across-phase errors and within-phase errors). The two-tailed Pearson's correlation analyses were used to test for correlations between the score of the BVN 5–11 and years of gymnastics practiced by girls of the GYM group. Moreover, correlation analyses were made between the results of the table-RAM forced-choice task and the ones of the BVN 5–11.
Statistical analyses were performed using SPSS version 23 Statistical Software Package for Windows (SPSS Inc., Chicago, IL, United States). The significance level was defined as p < 0.05.
All children completed the first phase of table-RAM task without errors. In fact, no one entered an arm already visited, and all children collected the four ladybugs. In the second phase, when all the arms were opened and the participants could move the Ladybug without restrictions, significant statistical differences between groups were found.
A one-way ANCOVA on number of entries, a parameter expressing the general performance level, revealed that children practicing artistic gymnastics made a significantly lower number of entries than children who did not practice sport (GYM group: x = 5.3 ± 0.64; no-GYM group: x = 6.7 ± 2.3; F(1, 26) = 4.88, p = 0.04, ηP2 = 0.16) (Figure 2a).
A one-way ANCOVA on the longest sequence of correctly visited arms in the second phase of the task revealed that children practicing artistic gymnastics had a significantly higher spatial span value than children who did not practice sport (GYM group: x = 3.6 ± 0.7; no-GYM group: x = 2.8 ± 0.6; F(1, 26) = 6.2, p = 0.019, ηP2 = 0.19) (Figure 2b).
A one-way ANCOVA on short-term memory errors performed in the second phase of the task revealed that children who did not practice sport made a significantly higher number of short-term memory errors than children practicing artistic gymnastics (GYM group: x = 1.4 ± 0.6; no-GYM group: x: 2.8 ± 2.25; F(1, 26) = 4.88, p = 0.04, ηP2 = 0.16) (Figure 3). To better understand if the significant reduction of errors by the gymnasts was due to a superior functioning of the short-term or working memory processes, we analyzed the two subtypes of short-term memory errors: across-phase errors (visits into an arm that had been entered during the first phase) and within-phase errors (re-visits into an arm previously visited in the same phase). While across-phase errors reflect a short-term memory deficit, within-phase errors express a working memory deficit. Non-parametric analyses (Mann-Whitney) revealed that no-GYM group made a significantly higher number of within-phase errors compared with GYM group (GYM group: x = 0.1 ± 0.2; no-GYM group: x: 0.5 ± 0.6; U = 57, Z = −2.07, p = 0.04). A similar pattern was observed in relation to across-phase errors, even if the statistical difference did not reach the significant level (GYM group: x = 1.4 ± 0.6; no-GYM group: x: 2.2 ± 1.7; U = 64, Z = −1.6, p = 0.057). When considering the distribution of errors between groups, we observed a significant lower number of errors in the within phase in the GYM group in comparison to NO-GYM one (Chi2 = 3.6, d.f = 1, p = 0.05).
In Table 2, the two-tailed Pearson's correlations analysis between the neuropsychological scores of BVN 5–11 and years of gymnastics practiced by girls of the GYM group are shown, while in Figure 4 the significant correlations between the subtest delayed recall of word list and two parameters of table-RAM forced choice task (short term memory errors and spatial span) are reported. No significant correlations resulted when considering the other scores of BVN 5–11 and the parameters of the RAM.
The present study analyzed in school-age children the effects of physical exercise (PE) on short-term visuospatial memory by means of a table version of the RAM [29] that reproduces in small scale the walking RAM task [30],[31],[35]. In particular, we focused on forced-choice paradigm of the RAM that allows analysing different facets of the short-term memory processes. In fact, the two subtypes of short-term memory errors, across-phase errors (visits into an arm that had been entered during the first phase) and within-phase errors (re-visits into an arm previously visited in the same phase), permit to differentiate short-term components (across-phase errors) from working memory ones (within-phase errors).
BVN 5–11 neuropsychological battery | |||
test | r | p | |
PERCEPTION | Visual discrimination (time) | −0.615 | 0.004 |
Auditory discrimination | 0.514 | 0.020 | |
PRAXIS | Upper limb gestures | 0.473 | 0.035 |
CALCULATION | Forward enumeration (time) | −0.484 | 0.031 |
Total accuracy | 0.462 | 0.046 | |
REASONING | Raven's Progressive Matrices | 0.537 | 0.015 |
VISUO-SPATIAL SHORT-TERM MEMORY | Corsi block tappingTest | 0.445 | 0.050 |
VISUO-SPATIAL LONG-TERM MEMORY and PRAXIA | Rey's complex figure (copy) | 0.580 | 0.009 |
Rey's complex figure (delayed recall) | 0.492 | 0.032 | |
VERBAL LONG-TERM MEMORY | Delayed recall of word list | 0.431 | 0.050 |
EXECUTIVE FUNCTION | Phonological verbal fluency | 0.440 | 0.059 |
The main result of the present research is that PE, when regularly and consistently practiced, as is the case of the artistic gymnastics we analysed, impacts on visuospatial working memory. In particular, comparing the performances of preadolescent girls practicing artistic gymnastics (GYM group) with those who do not practice any sport (no-GYM group), we found significantly reduced the number of within-phase errors in the GYM group (Figure 3). This result agrees with previous studies showing in young populations a correlation between extended chronic exercise and improved working memory [19],[39]. Chronic exercise is a type of PE, which consists of multiple exercise sessions per week and lasts for an extended period (typically over 6 weeks). Although we cannot maintain that our gymnasts were trained multiple times per week, we can state that their PE was an extended physical activity, given that being trained for at least two years with a frequency of three times a week was an inclusion criterion in the GYM group. Therefore, even if the GYM group did not perform exercises in a strictly “chronic” way, the present findings indicate that a prolonged and intensive training is associate with an improvement in the functioning of some cognitive domains, such as spatial working memory abilities.
The present data closely fit with the improvement of working memory correlated to PE in a young population previously reported [19],[39] that however do not concern the spatial domain. In fact, as underlined in the Introduction, most of these studies are focused on executive domain in general (i.e., attention, working memory, inhibition) [40].
The better functioning of visuospatial working memory in gymnasts is also reflected in the other parameters, such as errors and spatial span (Figure 2a,b), suggesting thus that an efficient availability of information in the short-term memory storage allows a better resolution of the task. In support of the present data, some voxel-based morphometry studies have evidenced that the gymnasts exhibit higher grey matter volume in specific cortical areas, such as prefrontal cortices correlated to the working memory [41]–[43] emphasizing from a psychobiological perspective that PE does determine changes in the brain structure.
Interestingly, we found in the GYM group significant correlations between years of practice of gymnastics and several cognitive functions such as perception, praxis abilities, calculation, deductive logical reasoning, verbal and visuospatial long/short-term memory (Table 2). Moreover, we found significant correlations between the performances obtained at the verbal long-term memory tests and the number of RAM errors (Figure 4). Although these data are very preliminary, they indicate a relationship between PE and cognitive functioning, suggesting thus as the neuroplastic effect exerted by PE on the brain may result in enhancement of cognitive functions. However, these findings shall be considered with cautions and further investigations will be needed.
The present study does not allow to establish whether the better performances of gymnasts in working memory abilities depend on the specific type of physical training. In other words, is it due to gymnastics if spatial working memory works better? Certainly, the artistic gymnastics facilitates abilities, such as the estimation of the direction of movements, the speed of execution, and the identification of their own and surrounding objects' locations [44], but these considerations cannot be sufficient to definitely answer the question. Other studies using the table-RAM should be performed on other young people playing sports, for example considering open skill sport, that take place in an unpredictable and constantly changing environment where movements need to be continually adapted, such as basketball, soccer [45]. In addition to this question, it is necessary to underline the limitations of the present study which cannot be overcome requiring caution when generalize the data. In particular, the small size of the samples and the inclusion of only female participants do not allow to generalize completely the results and replicate the study. Another limitation concerns the age of the participants (Table 1) which ranged from 7 to 10 years. We know that spatial abilities are not fully developed in children younger than about 10 years of age [30],[35],[46] and this could determine variability. However, these limitations can be overcome by increasing the sample in future studies. Moreover, further studies based on randomized controlled designs are desirable to better investigate the possible causal relation between PE and the cognitive improvements.
Although these aspects deserve remarkable attention, the present results indicate that the constant practice of the artistic gymnastics may contribute to improve spatial working memory, suggesting thus specific promotion of this type of PE in educational contexts. In this line, it is important underline that it has been observed that the spatial aspects of working memory are crucial to arithmetic learning and problem solving [47]. Therefore, promoting specific exercises capable of enhancing visuospatial skills could be a targeted and effective educational strategy. Unfortunately, PE is limited in Italy but we hope for the present results and further researches may shed light on the importance of PE in improving cognitive functioning during childhood-adolescence. Moreover, we wish for these evidences lead to enhancement of school programs in Italy and other countries where PE is more limited.
[1] |
Abel GJ, DeWaard J, Ha JT, et al (2021) The form and evolution of international migration networks, 1990–2015. Popul Space Place 27: e2432. https://doi.org/10.1002/psp.2432 doi: 10.1002/psp.2432
![]() |
[2] |
Adams RH, Page J (2005) Do international migration and remittances reduce poverty in developing countries? World Dev 33: 1645–1669. https://doi.org/10.1016/j.worlddev.2005.05.004 doi: 10.1016/j.worlddev.2005.05.004
![]() |
[3] |
Aliyev K, Abbasova A, Alishzada R, et al (2023) Expatriation and permanent emigration intention among youth in Azerbaijan. J Int Stud 16: 153–165. https://www.doi.org/10.14254/2071-8330.2023/16-4/10 doi: 10.14254/2071-8330.2023/16-4/10
![]() |
[4] |
Ball R (1997) The Role of the State in the Globalisation of Labour Markets: The Case of the Philippines. Env Plan A 29: 1603–1628. https://doi.org/10.1068/a291603 doi: 10.1068/a291603
![]() |
[5] |
Bardy R, Rubens A (2022) Weighing Externalities of Economic Recovery Projects: An Alternative to Green Taxonomies that is Fairer and more Realistic. Bus Ethics Lead 6: 23–34. https://doi.org/10.21272/bel.6(3).23-34.2022 doi: 10.21272/bel.6(3).23-34.2022
![]() |
[6] |
Bartkute R, Griesiene I, Grikietyte-Cebataviciene J, et al (2023) The Impact of Social and Economic Factors on Income Inequality in EU Countries. Transform Bus Econ 22: 464–484 https://doi.org/10.14254/2071-789x.2023/16-4/14 doi: 10.14254/2071-789x.2023/16-4/14
![]() |
[7] | Becker GS (1964) Human capital: A theoretical and empirical analysis, with special reference to education. Chicago: University of Chicago Press. |
[8] |
Ben Amor M (2023) Economic Growth and Unemployment Relationship in Tunisia: an Empirical Evidence from ARDL Bound Test Approach. Montenegrin J Econ 19: 73–84. http://dx.doi.org/10.14254/1800-5845/2023.19-2.6 doi: 10.14254/1800-5845/2023.19-2.6
![]() |
[9] |
Benassi F, Salvati L (2019) Economic downturns and compositional effects in regional population structures by age: a multi-temporal analysis in Greek regions, 1981–2017. Qual Quant 53: 2611–2633. https://doi.org/10.1007/s11135-019-00875-9 doi: 10.1007/s11135-019-00875-9
![]() |
[10] |
Bilan Y, Srovnalã-KovÃi P, Streimikis J, et al (2020) From shadow economy to lower carbon intensity: Theory and evidence. Int J Glob Env Issu 19: 196–216. https://doi.org/10.1504/IJGENVI.2020.114874 doi: 10.1504/IJGENVI.2020.114874
![]() |
[11] |
Bisaro A, Hinkel J, Le Cozannet G, et al (2021) Global Climate Services: A Typology of Global Decisions Influenced by Climate Risk. Front Mar Sci 8: 728687. https://doi.org/10.3389/fmars.2021.728687 doi: 10.3389/fmars.2021.728687
![]() |
[12] |
Biswas RK, Kabir E, Khan HTA (2019) Causes of Urban Migration in Bangladesh: Evidence from the Urban Health Survey. Popul Res Policy Rev 38: 593–614. https://doi.org/10.1007/s11113-019-09532-3 doi: 10.1007/s11113-019-09532-3
![]() |
[13] | Brundtland GH (1987) Our Common Future: Report of the World Commission on Environment and Development. Geneva, UN-Dokument A/42/427. |
[14] |
Brychko M, Bilan Y, Lyeonov S, et al (2023) Do changes in the business environment and sustainable development really matter for enhancing enterprise development? Sustain Dev 31: 587599. https://doi.org/10.1002/sd.2410 doi: 10.1002/sd.2410
![]() |
[15] |
Buendía-Carrillo D, Lara-Rubio J, Navarro-Galera A, et al (2020) The impact of population size on the risk of local government default. Int Tax Pub Fin 27: 1264–1286. https://doi.org/10.1007/s10797-020-09591-9 doi: 10.1007/s10797-020-09591-9
![]() |
[16] |
Burlacu S, Stoica GD, Giucă DA, et al (2022) Socio-economic Implications of Rural Population Migration. Adm si Manag Public 39: 213–225. https://www.doi.org/10.24818/amp/2022.39-12 doi: 10.24818/amp/2022.39-12
![]() |
[17] |
Burliai A, Demianchuk M, Burliai O (2023) Unintended transnationalism of Ukrainian military migrants in Poland: Socio-cultural aspect. Probl Perspect Manag 21: 426–438. http://dx.doi.org/10.21511/ppm.21(2).2023.40 doi: 10.21511/ppm.21(2).2023.40
![]() |
[18] |
Carlucci M, Grigoriadis E, Rontos K, et al (2017) Revisiting a hegemonic concept: Long-term "Mediterranean urbanization" in between city re-polarization and metropolitan decline. Appl Spat Anal 10: 347–362. https://doi.org/10.1007/s12061-016-9186-2 doi: 10.1007/s12061-016-9186-2
![]() |
[19] |
Catrinescu N, Leon-Ledesma M, Piracha M, et al (2009) Remittances, Institutions, and Economic Growth. World Dev 37: 81–92. https://doi.org/10.1016/j.worlddev.2008.02.004 doi: 10.1016/j.worlddev.2008.02.004
![]() |
[20] |
Cheng Q, Chang NB (2011) System dynamics modeling for municipal water demand estimation in an urban region under uncertain economic impacts. J Env Manag 92: 1628–1641. https://doi.org/10.1016/j.jenvman.2011.01.020 doi: 10.1016/j.jenvman.2011.01.020
![]() |
[21] |
Chervinska L, Kalina I, Chervinska T, et al (2024) Forced migration in times of war: challenges, financial and economic risks, and ways to solve them. Financ Credit Act Probl Theory Pract 2: 531–545. https://doi.org/10.55643/fcaptp.2.55.2024.4331 doi: 10.55643/fcaptp.2.55.2024.4331
![]() |
[22] |
Chugaievska S, Wisła R (2023) A new wave of migration in Ukraine on the background of Russian invasion: Dynamics, challenges and risks. J Int Stud 16: 220–244. https://www.doi.org/10.14254/2071-8330.2023/16-4/15 doi: 10.14254/2071-8330.2023/16-4/15
![]() |
[23] |
Ciommi M, Egidi G, Vardopoulos I, et al (2023) Toward a "Migrant Trap"? Local Development, Urban Sustainability, Sociodemographic Inequalities, and the Economic Decline in a Mediterranean Metropolis. Soc Sci 12: 26. https://doi.org/10.3390/socsci12010026 doi: 10.3390/socsci12010026
![]() |
[24] |
Colantonio SE, Fuster V (2009) Migration of ethnic groups within Cordoba province (Argentina) during political crises following the colonial period. Pop Rev 48: 103–118. https://doi.org/10.1353/prv.0.0018 doi: 10.1353/prv.0.0018
![]() |
[25] |
Craiut MV, Iancu IR (2022) Is technology gender neutral? A systematic literature review on gender stereotypes attached to artificial intelligence. Hum Technol 18: 297–315. https://doi.org/10.14254/1795-6889.2022.18-3.6 doi: 10.14254/1795-6889.2022.18-3.6
![]() |
[26] |
Dat PT, Hung HT (2023) Determinants of Sustainable Development: A Case Study in Vietnam. Montenegrin J Econ 19: 97–107. http://dx.doi.org/10.14254/1800-5845/2023.19-2.8 doi: 10.14254/1800-5845/2023.19-2.8
![]() |
[27] |
de Haas H (2010) Migration and Development: A Theoretical Perspective. Intl Mig Rev 44: 227–264. https://doi.org/10.1111/j.1747-7379.2009.00804.x doi: 10.1111/j.1747-7379.2009.00804.x
![]() |
[28] | Didenko I, Volik K, Vasylieva T, et al (2020) Migration, environment, and country safety: Analysis of touchpoints. E3S Web Conf: 202. https://doi.org/10.1051/e3sconf/202020203028 |
[29] | Didenko I, Volik K, Vasylieva T, et al. (2021) Environmental migration and country security: Theoretical analysis and empirical research. E3S Web Conf: 234. https://doi.org/10.1051/e3sconf/202130702003 |
[30] |
Elkington J (1998) Accounting for the triple bottom line. Meas Bus Excel 2: 18–22. https://doi.org/10.1108/eb025539 doi: 10.1108/eb025539
![]() |
[31] |
Eshetu F, Haji J, Ketema M, et al (2023) Impact of Rural Out-Migration on Agricultural Technology Adoption of Rural Households in Southern Ethiopia. Agris On-line Pap Econ Inform 15: 3–20. https://doi.org/10.7160/aol.2023.150101 doi: 10.7160/aol.2023.150101
![]() |
[32] |
Fang J, Liu W, Yang S, et al. (2017) Spatial-temporal changes of coastal and marine disasters risks and impacts in Mainland China. Ocean Coast Manag 139: 125–140. https://doi.org/10.1016/j.ocecoaman.2017.02.003 doi: 10.1016/j.ocecoaman.2017.02.003
![]() |
[33] |
Favretto N, Stringer LC (2024) Climate resilient development in vulnerable geographies. Mitig Adapt Strateg Glob Chang 29: 90. https://doi.org/10.1007/s11027-024-10187-5 doi: 10.1007/s11027-024-10187-5
![]() |
[34] |
Fierro J, Parella S, Güell B, et al. (2022) Educational achievement among children of Latin American immigrants in Spain. Int MigIntegr 23: 1921–1940. https://doi.org/10.1007/s12134-021-00918-x doi: 10.1007/s12134-021-00918-x
![]() |
[35] |
Findlay A, McCollum D (2013) Recruitment and employment regimes: Migrant labour channels in the UK's rural agribusiness sector, from accession to recession. J Rural Stud 30: 10–19. https://doi.org/10.1016/j.jrurstud.2012.11.006 doi: 10.1016/j.jrurstud.2012.11.006
![]() |
[36] |
Firstová J, Vysochyna A (2024) Optimisation of socio-economic, environmental and public health determinants of national security for post-pandemic recovery. Health Econ Manag Rev 5: 67–79. https://doi.org/10.61093/hem.2024.1-05 doi: 10.61093/hem.2024.1-05
![]() |
[37] |
Gajdosova K (2023) Role of GDP in the Sustainable Growth Era. SocioEcon Chall 7: 94–112. https://doi.org/10.61093/sec.7(3).94-112.2023 doi: 10.61093/sec.7(3).94-112.2023
![]() |
[38] |
Gallo G, Staniscia B (2017) Italian youth mobility during the last two decades: an overview in eight selected EU countries. Hung Geogr Bull 65: 345–360. https://doi.org/10.15201/hungeobull.65.4.4 doi: 10.15201/hungeobull.65.4.4
![]() |
[39] |
Gentsoudi V (2023) The Impact of Effective Leadership on Public Sector's Financial Instruments: Empirical Evidence from Greece. Bus Ethics Lead 7: 47–54. https://doi.org/10.21272/bel.7(2).47-54.2023 doi: 10.21272/bel.7(2).47-54.2023
![]() |
[40] |
Ghosh S, Kanjilal K (2014) Long-term equilibrium relationship between urbanization, energy consumption and economic activity: Empirical evidence from India. Energy 66: 324–331. https://doi.org/10.1016/j.energy.2013.12.052 doi: 10.1016/j.energy.2013.12.052
![]() |
[41] |
Guzi M, Kahanec M, Kureková LM (2021) What explains immigrant-native gaps in European labor markets: The role of institutions. Migr Stud 9: 1823–1856. https://doi.org/10.1093/migration/mnab044 doi: 10.1093/migration/mnab044
![]() |
[42] |
Guzi M, Kahanec M, Mýtna Kureková L (2023) The impact of immigration and integration policies on immigrant-native labour market hierarchies. J Ethnic Migr Stud 49: 4169–4187. https://doi.org/10.1080/1369183X.2023.2207339 doi: 10.1080/1369183X.2023.2207339
![]() |
[43] |
Habib A, Khan MA, Oláh J (2023) Does green finance support to reduce the investment sensitivity of environmental firms? J Bus Econ Manag 24: 405–421. https://doi.org/10.3846/jbem.2023.18865 doi: 10.3846/jbem.2023.18865
![]() |
[44] |
Hakobyan N, Dabaghyan A, Khachatryan A (2022) Strategies of Post-War Anomie's Overcoming in the Fields of Social Interactions and Business. Bus Ethics Lead 6: 105–112. https://doi.org/10.21272/bel.6(3).105-112.2022 doi: 10.21272/bel.6(3).105-112.2022
![]() |
[45] |
Hiskey J, Montalvo JD, Orcés D (2014) Democracy, Governance, and Emigration Intentions in Latin America and the Caribbean. Stud Comp Int Dev 49: 89–111. https://doi.org/10.1007/s12116-014-9150-6 doi: 10.1007/s12116-014-9150-6
![]() |
[46] |
Holtfort T, Horsch A (2024) Quantum Economics: A Systematic Literature Review. Socio Econ Chall 8: 62–77. https://doi.org/10.61093/sec.8(1).62-77.2024 doi: 10.61093/sec.8(1).62-77.2024
![]() |
[47] |
Hrytsenko L, Zakharkina L, Zakharkin O, et al (2022) The impact of digital transformations on the transparency of financial-economic relations and financial security of Ukraine. Financ Credit Act Probl Theory Pract 3: 167–175. https://doi.org/10.55643/fcaptp.3.44.2022.3767 doi: 10.55643/fcaptp.3.44.2022.3767
![]() |
[48] | Hugo G (1996) Environmental concerns and international migration. Int Migr Rev 30: 105–31. PMID: 12291410. |
[49] | Immigration by broad group of countries of previous residence (2024): From Eurostat. European Commission. Available from: https://ec.europa.eu/eurostat/databrowser/view/MIGR_IMM12PRV__custom_7737977/bookmark/table?lang = en & bookmarkId = 8737850f-31e9-4e43-8f9c-dea6fdff1028. |
[50] |
Iosim I, Runcan P, Runcan R, et al (2022) The Impact of Parental External Labour Migration on the Social Sustainability of the Next Generation in Developing Countries. Sustainability 14: 4616. https://doi.org/10.3390/su14084616 doi: 10.3390/su14084616
![]() |
[51] |
Kaddouri N, Benelbar M (2024) The Impact of Foreign Direct Investment on Economic Growth: Empirical Evidence. Fin Mark Inst Risks 8: 123–132. https://doi.org/10.61093/fmir.8(1).123-132.2024 doi: 10.61093/fmir.8(1).123-132.2024
![]() |
[52] |
Karamanis K, Kolias G (2022) Analyzing employment by occupation across sectors in Greek labor market. Econ Sociol 15: 24–40. http://doi.org/10.14254/2071-789X.2022/15-2/2 doi: 10.14254/2071-789X.2022/15-2/2
![]() |
[53] |
Kersan-Škabić I, Burić SB (2022) Migration and earnings in emigrant and immigrant countries-the case of Europe. Econ Sociol 15: 28–58. https://doi.org/10.14254/2071-789X.2022/15-3/2 doi: 10.14254/2071-789X.2022/15-3/2
![]() |
[54] |
Kharabsheh B, Gharaibeh O (2023) Does Financial Inclusion Affect Banks' Efficiency? Montenegrin J Econ 19: 125–140. https://doi.org/10.14254/1800-5845/2023.19-4.11 doi: 10.14254/1800-5845/2023.19-4.11
![]() |
[55] |
Kharel K, Poudel O, Upadhyaya Y, et al. (2024) Effect of Private Sector Credit on Economic Growth in Nepal. Fin Mark Inst Risks 8: 142–157. https://doi.org/10.61093/fmir.8(1).142-157.2024 doi: 10.61093/fmir.8(1).142-157.2024
![]() |
[56] |
Kobiyh M, El Amri A (2023) Inefficiency of Financial Markets and Paths to the Development of a Modern Financial Theory. Fin Mark Inst Risks 7: 95–100. https://doi.org/10.21272/fmir.7(2).95-100.2023 doi: 10.21272/fmir.7(2).95-100.2023
![]() |
[57] |
Koibichuk V, Bozenko V, Dziubenko O, et al (2022) Вusiness efficiency: macro and micro dimensions. Finac Credit Act Probl Theory Pract 5: 407–416. https://doi.org/10.55643/fcaptp.5.46.2022.3889 doi: 10.55643/fcaptp.5.46.2022.3889
![]() |
[58] |
Kot SM, Paradowski PR (2022) The atlas of inequality aversion: theory and empirical evidence on 55 countries from the Luxembourg Income Study database. Equilibrium 17: 261–316. https://doi.org/10.24136/eq.2022.010 doi: 10.24136/eq.2022.010
![]() |
[59] |
Kozlovskyi S, Kulinich T, Vechirko I, et al (2024) Relationship between net migration and economic development of European countries: Empirical conclusions. Prob Persp Manag 22: 605–618. http://dx.doi.org/10.21511/ppm.22(1).2024.48 doi: 10.21511/ppm.22(1).2024.48
![]() |
[60] |
Kugler M, Levintal O, Rapoport H (2018) Migration and cross-border financial flows. World Bank Econ Rev 32: 148–162. https://doi.org/10.1093/wber/lhx007 doi: 10.1093/wber/lhx007
![]() |
[61] |
Kuzior A, Kostenko A, Sotnyk I, et al (2023) Socio-economic sustainability and the solidarity economy formation under the war conditions in Ukraine. Financ Credit Act Probl Theory Pract 5: 256–267. https://doi.org/10.55643/fcaptp.5.52.2023.4132 doi: 10.55643/fcaptp.5.52.2023.4132
![]() |
[62] |
Kuzior A, Liakisheva A, Denysiuk I, et al (2020) Social Risks of International Labour Migration in the Context of Global Challenges. J Risk Fin Manag 13: 197. https://doi.org/10.3390/jrfm13090197 doi: 10.3390/jrfm13090197
![]() |
[63] |
Kuzmenko O, Bilan Y, Bondarenko E, et al. (2023) Dynamic stability of the financial monitoring system: Intellectual analysis. PLoS One 18. https://doi.org/10.1371/journal.pone.0276533 doi: 10.1371/journal.pone.0276533
![]() |
[64] | Kyriakopoulos GL (2021) Should low carbon energy technologies be envisaged in the context of sustainable energy systems? In G. L. Kyriakopoulos (Ed.), Low Carbon Energy Technologies in Sustainable Energy Systems, 357–389. Academic Press. https://doi.org/10.1016/B978-0-12-822897-5.00015-8 |
[65] |
Kyriakopoulos GL (2022) Energy Communities Overview: Managerial Policies, Economic Aspects, Technologies, and Models. J Risk Fin Manag 15: 521. https://doi.org/10.3390/jrfm15110521 doi: 10.3390/jrfm15110521
![]() |
[66] |
Lapinskaitė I, Skvarciany V (2023) Sustainable metamorphosis: examining sustainability transformation into value of financial institutions. J Buss Econ Manage 24: 923–938. https://doi.org/10.3846/jbem.2023.20665 doi: 10.3846/jbem.2023.20665
![]() |
[67] |
Lara-Rubio J, Navarro-Galera A, Buendía-Carrillo D, et al (2022) Analysing financial risks of local governments to design sustainability policies for public services: An empirical study by the population size. Cities 128: 103795. https://doi.org/10.1016/j.cities.2022.103795 doi: 10.1016/j.cities.2022.103795
![]() |
[68] |
Lee ES (1966) A theory of migration. Demography 3: 47–57. https://doi.org/10.2307/2060063 doi: 10.2307/2060063
![]() |
[69] |
Leschke J, Weiss S (2023) Labour market hierarchies between intra-EU migrants: why do mobile workers from the EU-West obtain better jobs and wages than those from the EU-East? J Ethnic Mig Stud 49: 4092–4119. https://doi.org/10.1080/1369183X.2023.2207330 doi: 10.1080/1369183X.2023.2207330
![]() |
[70] |
Lyeonov S, Vasilyeva T, Bilan Y, et al (2021) Convergence of the institutional quality of the social sector: The path to inclusive growth. Int J Trade Glob Mark 14: 27–291. https://doi.org/10.1504/IJTGM.2021.115712 doi: 10.1504/IJTGM.2021.115712
![]() |
[71] |
Mabogunje AL (1970) Systems Approach to a Theory of Rural-Urban Migration. Geogr Anal 2: 1–18. https://doi.org/10.1111/j.1538-4632.1970.tb00140.x doi: 10.1111/j.1538-4632.1970.tb00140.x
![]() |
[72] |
Mafruhah I, Istiqomah N (2024) Migrant Workers Remittances in Fostering Country-of-origin Entrepreneurship and Financial Inclusion: Life Cycle-Permanent Income Hypothesis. Montenegrin J Econ 20: 65–79. https://doi.org/10.14254/1800-5845/2024.20-4.6 doi: 10.14254/1800-5845/2024.20-4.6
![]() |
[73] |
Massey DS, Arango J, Hugo G, et al (1993) Theories of international migration: A review and appraisal. Popul Dev Rev 19: 431–466. https://doi.org/10.2307/2938462 doi: 10.2307/2938462
![]() |
[74] |
McCollum D, Apsite-Berina E, Berzins M, et al (2017) Overcoming the crisis: the changing profile and trajectories of Latvian migrants. J Ethnic Migr Stud 43: 1508–1525. https://doi.org/10.1080/1369183X.2016.1232161 doi: 10.1080/1369183X.2016.1232161
![]() |
[75] |
McCollum D, Shubin S, Apsite E, et al (2013) Rethinking labour migration channels: the experience of Latvia from EU accession to economic recession. Popul Space Place 19: 688–702. https://doi.org/10.1002/psp.1789 doi: 10.1002/psp.1789
![]() |
[76] |
Melnyk L, Kalinichenko L, Kubatko O, et al (2023) Restructuring the economic systems on the way to an additive economy. Probl Perspect Manag 21: 230–243. http://dx.doi.org/10.21511/ppm.21(3).2023.18 doi: 10.21511/ppm.21(3).2023.18
![]() |
[77] | Melnyk L, Dehtyarova I (2019) Sustainable Development Strategies in Conditions of the 4th Industrial Revolution: The EU Experience. Reducing Inequalities Towards Sustainable Development Goals: Multilevel Approach, 1st ed. River Publishers. https://doi.org/10.1201/9781003339250 |
[78] | Minsky HP (1986) Stabilizing an unstable economy. Bard College Digital Commons. Available from: https://digitalcommons.bard.edu/hm_archive/144. |
[79] |
Mohabir N, Jiang Y, Ma R (2017) Chinese floating migrants: Rural-urban migrant labourers' intentions to stay or return. Habitat Int 60: 101–110. https://doi.org/10.1016/j.habitatint.2016.12.008 doi: 10.1016/j.habitatint.2016.12.008
![]() |
[80] | Mursalov M, Yarovenko H, Vasilyeva T (2023) Entrepreneurial Ecosystem and Digitalization: Relationship and Synergy of Development. In: Strielkowski, W. (eds) Leadership, Entrepreneurship and Sustainable Development Post COVID-19. NILBEC 2022. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-031-28131-0_9 |
[81] | Myrdal G (1957) Economic Theory and Under-developed Regions. London: Duckworth. |
[82] | North DC (1990) Institutions, institutional change and economic performance. Cambridge University Press. https://doi.org/10.1017/CBO9780511808678 |
[83] |
Obi C, Bartolini F, Brunori G, et al (2020) How does international migration impact on rural areas in developing countries? A systematic review. J Rural Stud 80: 273–290. https://doi.org/10.1016/j.jrurstud.2020.09.016 doi: 10.1016/j.jrurstud.2020.09.016
![]() |
[84] |
Ortiz D, Viloria M (2023) The Colombian population in need of international protection and regional response plans. Remhu 31: 45–64. https://doi.org/10.1590/1980-85852503880006804 doi: 10.1590/1980-85852503880006804
![]() |
[85] |
Palomares-Linares I, van Ham M (2020) Understanding the effects of homeownership and regional unemployment levels on internal migration during the economic crisis in Spain. Reg Stud 54: 515–526. https://doi.org/10.1080/00343404.2018.1502420 doi: 10.1080/00343404.2018.1502420
![]() |
[86] |
Parella S, Petroff A (2019) Return intentions of Bolivian migrants during the Spanish economic crisis: The interplay of macro-meso and micro factors. J Int Mig Integr 20: 291–305. https://doi.org/10.1007/s12134-018-0607-8 doi: 10.1007/s12134-018-0607-8
![]() |
[87] |
Patel S, Kasztelnik K, Zelihic M (2023) Global overview of modern financing typologies to mitigate financial risks in developed countries. Socioecon Chall 7: 54–66. https://doi.org/10.21272/sec.7(2).54-66.2023 doi: 10.21272/sec.7(2).54-66.2023
![]() |
[88] |
Patxot C, Rentería E, Souto G (2015) Can we keep the pre-crisis living standards? An analysis based on NTA profiles in Spain. J Econ Ageing 5: 54–62. https://doi.org/10.1016/j.jeoa.2014.09.002 doi: 10.1016/j.jeoa.2014.09.002
![]() |
[89] | Piore MJ (1979) Birds of Passage: Migrant Labor and Industrial Societies. Cambridge University Press. https://doi.org/10.1017/CBO9780511572210 |
[90] | Piper N, Datta K (Eds.) (2024) The Elgar Companion to Migration and the Sustainable Development Goals. Cheltenham, UK: Edward Elgar Publishing. https://doi.org/10.4337/9781802204513 |
[91] |
Pozovna I, Hałuszko K, Polishchuk A (2023) Modelling structural relations between financial, social-economic and healthcare factors. Health Econ Manag Rev 4: 107–119. https://doi.org/10.61093/hem.2023.4-09 doi: 10.61093/hem.2023.4-09
![]() |
[92] |
Pozovna I, Krawczyk D, Babenko V (2023) Advanced Technology Investment, Transfer, Export and Import: Determinants or Predictors of Economic Growth and Inflation Fluctuations? Fin Mark Inst Risks 7: 168–188. https://doi.org/10.61093/fmir.7(4).168-188.2023 doi: 10.61093/fmir.7(4).168-188.2023
![]() |
[93] |
Primavera J (1997) Socio-economic impacts of shrimp culture. Aquac Res 28: 815–827. https://doi.org/10.1046/j.1365-2109.1997.00946.x doi: 10.1046/j.1365-2109.1997.00946.x
![]() |
[94] |
Radu MT, Radulescu M, Pentescu A, et al (2023) The Effects of Immigration and Unemployment on European Countries: A Comparative Social and Fiscal Perspective. Eur J Interdiscip Stud 15: 210–220. http://dx.doi.org/10.24818/ejis.2023.25 doi: 10.24818/ejis.2023.25
![]() |
[95] |
Rontos K, Mosconi EM, Gianvincenzi M, et al (2023) Toward a spatially segregated urban growth? Austerity, poverty, and the demographic decline of metropolitan Greece. Data 8: 53. https://doi.org/10.3390/data8030053 doi: 10.3390/data8030053
![]() |
[96] |
Sabary GS, Ključnikov A (2023) Barriers to immigrant entrepreneurship: A causal relationship analysis of the Asian immigrant entrepreneurs in Germany employing the DEMATEL approach. Equilibrium 18: 491–522. https://doi.org/10.24136/eq.2023.015 doi: 10.24136/eq.2023.015
![]() |
[97] |
Sabater A, Graham E (2019) International migration and fertility variation in Spain during the economic recession: A spatial Durbin approach. App Spat Anal 12: 515–546. https://doi.org/10.1007/s12061-018-9255-9 doi: 10.1007/s12061-018-9255-9
![]() |
[98] |
Salvati L (2016) Demographic transition, immigration, gentrification: Unravelling early signs of re‐urbanisation in a European city. Int Soc Sci J 66: 49–62. https://doi.org/10.1111/issj.12120 doi: 10.1111/issj.12120
![]() |
[99] |
Salvati L (2019) Differential responses to expansion and crisis? The role of urban-rural divides in long-term demographic dynamics. Int Soc Sci J 69: 213–230. https://doi.org/10.1111/issj.12237 doi: 10.1111/issj.12237
![]() |
[100] |
Salvati L (2020) Residential mobility and the local context: Comparing long-term and short-term spatial trends of population movements in Greece. Socioecon Plann Sci 72: 100910. https://doi.org/10.1016/j.seps.2020.100910 doi: 10.1016/j.seps.2020.100910
![]() |
[101] |
Salvati L, Benassi F (2021) Rise (and Decline) of European Migrants in Greece: Exploring Spatial Determinants of Residential Mobility (1988–2017), with Special Focus on Older Ages. Int Mig Integr 22: 599–613. https://doi.org/10.1007/s12134-020-00758-1 doi: 10.1007/s12134-020-00758-1
![]() |
[102] |
Salvati L (2018) Population growth and the economic crisis: understanding latent patterns of change in Greece, 2002–2016. Lett Spat Resour Sci 11: 105–126. https://doi.org/10.1007/s12076-018-0204-7 doi: 10.1007/s12076-018-0204-7
![]() |
[103] |
Seto KC (2011) Exploring the dynamics of migration to mega-delta cities in Asia and Africa: Contemporary drivers and future scenarios. Glob Env Change 21: 94–107. https://doi.org/10.1016/j.gloenvcha.2011.08.005 doi: 10.1016/j.gloenvcha.2011.08.005
![]() |
[104] |
Shymanska KV, Kurylo M, Karmaza O, et al (2017) Determinants of migration motives as a precondition for the migration flows formation. Prob Perspect Manag 15: 352–364. https://doi.org/10.21511/ppm.15(3-2).2017.05 doi: 10.21511/ppm.15(3-2).2017.05
![]() |
[105] |
Singh SN, Pandey A (2023) Accomplishing Sustainable Development Goals in India: A systematic literature review. Fin Mark Inst Risks 7: 80–87. https://doi.org/10.21272/fmir.7(2).80-87.2023 doi: 10.21272/fmir.7(2).80-87.2023
![]() |
[106] | Stanke C, Kerac M, Prudhomme C, et al (2013) Health effects of drought: a systematic review of the evidence. PLoS 5. |
[107] | Stark O, Bloom DE (1985) The new economics of labor migration. Amer Econ Rev 75: 173–178. |
[108] |
Streimikiene D, Kyriakopoulos GL (2023) Energy Poverty and Low Carbon Energy Transition. Energies 16: 610. https://doi.org/10.3390/en16020610 doi: 10.3390/en16020610
![]() |
[109] |
Tomoiagă E, Pop Silaghi MI (2023) Internal Migration in Romania. Revisiting the Harris-Todaro Model of Migration. Eur J Interdiscip Stud 15. https://doi.org/10.24818/ejis.2023.23 doi: 10.24818/ejis.2023.23
![]() |
[110] |
Tu YX, Kubatko O, Piven V, et al (2023) Promotion of Sustainable Development in the EU: Social and Economic Drivers. Sustainability 15: 7503. https://doi.org/10.3390/su15097503 doi: 10.3390/su15097503
![]() |
[111] |
Tung LT (2022) Impact of foreign direct investment on inequality in emerging economies: Does the Kuznets curve hypothesis exist? Montenegrin J Econ 18: 161–168. https://doi.org/10.14254/1800-5845/2022.18-1.13 doi: 10.14254/1800-5845/2022.18-1.13
![]() |
[112] |
Tung LT, Bentzen J (2022) The relationship between income growth and inequality: Evidence from an Asian emerging economy. Econ Soc 15: 95–109. https://www.doi.org/10.14254/2071-789X.2022/15-2/6 doi: 10.14254/2071-789X.2022/15-2/6
![]() |
[113] |
Udmale P, Ichikawa Y, Manandhar S, et al (2014) Farmers' perception of drought impacts, local adaptation and administrative mitigation measures in Maharashtra State, India. Int J Disaster Risk Reduct 10: 250–269. https://doi.org/10.1016/j.ijdrr.2014.09.011 doi: 10.1016/j.ijdrr.2014.09.011
![]() |
[114] |
van Barneveld K, Quinlan M, Kriesler P, et al (2020) The COVID-19 pandemic: Lessons on building more equal and sustainable societies. Econ Labour Relat Rev 31: 133–157. https://doi.org/10.1177/1035304620927107 doi: 10.1177/1035304620927107
![]() |
[115] |
Vasylieva T, Witczak-Smolnik W, Tiutiunyk I, et al (2023) Social and economic determinants of quality of life: Case of European countries. Econ Sociol 16: 289–308. https://www.doi.org/10.14254/2071-789X.2023/16-4/14 doi: 10.14254/2071-789X.2023/16-4/14
![]() |
[116] |
Vasyltsiv T, Levytska O, Shushkova Yu, et al (2023) Competitiveness of regional labor markets as a determinant of international migration: A nexus empirical study. Probl Perspect Manag 21: 678–695. https://www.doi.org/10.21511/ppm.21(4).2023.51 doi: 10.21511/ppm.21(4).2023.51
![]() |
[117] |
Vinci S, Vardopoulos I, Salvati L (2023) A tale of a shrinking city? Exploring the complex interplay of socio-demographic dynamics in the recent development of Attica, Greece. Cities 132: 104089. https://doi.org/10.1016/j.cities.2022.104089 doi: 10.1016/j.cities.2022.104089
![]() |
[118] |
Voznyak H, Mulska O, Druhov O, et al (2023) Adaptation of internally displaced persons in host communities under conditions of war in Ukraine: The role of local governments. Probl Perspect Manag 21: 323–335. https://www.doi.org/10.21511/ppm.21(2).2023.32 doi: 10.21511/ppm.21(2).2023.32
![]() |
[119] |
Warnecke-Berger H (2022) The financialization of remittances and the individualization of development: A new power geometry of global development. Environ Plan A: Econ Space 54: 702-721. https://doi.org/10.1177/0308518X211038013 doi: 10.1177/0308518X211038013
![]() |
[120] |
Wellalage NH, Locke S (2020) Remittance and financial inclusion in refugee migrants: Inverse probability of treatment weighting using the propensity score. Appl Econ 52: 929–950. https://doi.org/10.1080/00036846.2019.1646876 doi: 10.1080/00036846.2019.1646876
![]() |
[121] |
Wildowicz-Szumarska A (2022) Is redistributive policy of EU welfare state effective in tackling income inequality? A panel data analysis. Equilibrium 17: 81–101. https://doi.org/10.24136/eq.2022.004 doi: 10.24136/eq.2022.004
![]() |
[122] | World migration report (2024) From International Organization for Migration. Geneva: IOM. https://publications.iom.int/books/world-migration-report-2024 |
[123] |
Xu D, Guo S, Xie F, et al (2017) The impact of rural laborer migration and household structure on household land use arrangements in mountainous areas of Sichuan Province, China. Habitat Int 70: 72–80. https://doi.org/10.1016/j.habitatint.2017.10.009 doi: 10.1016/j.habitatint.2017.10.009
![]() |
[124] |
Xu S, Zhu H (2022) Does green governance efficiency and green finance policies matter in sustainable environment: Implications for public health. Front Public Health 10. https://doi.org/10.3389/fpubh.2022.861349 doi: 10.3389/fpubh.2022.861349
![]() |
[125] |
Yalew AW, Hirte G, Lotze-Campen H, et al (2018) Climate change, agriculture, and economic development in Ethiopia. Sustainability 10: 3464. https://doi.org/10.3390/su10103464 doi: 10.3390/su10103464
![]() |
[126] |
Yehorova Y, Drozd S (2024) Determinants of Human Capital Development and Macroeconomic Freedoms: DEA Modelling. Bus Ethics Lead 8: 203–219. https://doi.org/10.61093/bel.8(1).203-219.2024 doi: 10.61093/bel.8(1).203-219.2024
![]() |
[127] |
Yoshimori M (2023) Rising global economic power by China to challenge new global order. Socioecon Chall 7: 21–30. https://doi.org/10.21272/sec.7(2).21-30.2023 doi: 10.21272/sec.7(2).21-30.2023
![]() |
[128] |
Zhang S, Chen W, Li Q, et al (2023) Evaluation and development strategy of urban–rural integration under ecological protection in the Yellow River Basin, China. Environ Sci Pollut Res 30: 92674–92691. https://doi.org/10.1007/s11356-023-28950-7 doi: 10.1007/s11356-023-28950-7
![]() |
[129] |
Zolkover A, Tiutiunyk I, Babenko V, et al (2022) The Quality of Tax Administration, Macroeconomic Stability and Economic Growth: Assessment and Interaction. Rev Econ Fin 20: 654–661. http://dx.doi.org/10.55365/1923.x2022.20.76 doi: 10.55365/1923.x2022.20.76
![]() |
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age | GYM group | No-GYM group |
7 | N = 3 | N = 3 |
8 | N = 6 | N = 6 |
9 | N = 4 | N = 4 |
10 | N = 1 | N = 1 |
Total | N = 14 | N = 14 |
BVN 5–11 neuropsychological battery | |||
test | r | p | |
PERCEPTION | Visual discrimination (time) | −0.615 | 0.004 |
Auditory discrimination | 0.514 | 0.020 | |
PRAXIS | Upper limb gestures | 0.473 | 0.035 |
CALCULATION | Forward enumeration (time) | −0.484 | 0.031 |
Total accuracy | 0.462 | 0.046 | |
REASONING | Raven's Progressive Matrices | 0.537 | 0.015 |
VISUO-SPATIAL SHORT-TERM MEMORY | Corsi block tappingTest | 0.445 | 0.050 |
VISUO-SPATIAL LONG-TERM MEMORY and PRAXIA | Rey's complex figure (copy) | 0.580 | 0.009 |
Rey's complex figure (delayed recall) | 0.492 | 0.032 | |
VERBAL LONG-TERM MEMORY | Delayed recall of word list | 0.431 | 0.050 |
EXECUTIVE FUNCTION | Phonological verbal fluency | 0.440 | 0.059 |
age | GYM group | No-GYM group |
7 | N = 3 | N = 3 |
8 | N = 6 | N = 6 |
9 | N = 4 | N = 4 |
10 | N = 1 | N = 1 |
Total | N = 14 | N = 14 |
BVN 5–11 neuropsychological battery | |||
test | r | p | |
PERCEPTION | Visual discrimination (time) | −0.615 | 0.004 |
Auditory discrimination | 0.514 | 0.020 | |
PRAXIS | Upper limb gestures | 0.473 | 0.035 |
CALCULATION | Forward enumeration (time) | −0.484 | 0.031 |
Total accuracy | 0.462 | 0.046 | |
REASONING | Raven's Progressive Matrices | 0.537 | 0.015 |
VISUO-SPATIAL SHORT-TERM MEMORY | Corsi block tappingTest | 0.445 | 0.050 |
VISUO-SPATIAL LONG-TERM MEMORY and PRAXIA | Rey's complex figure (copy) | 0.580 | 0.009 |
Rey's complex figure (delayed recall) | 0.492 | 0.032 | |
VERBAL LONG-TERM MEMORY | Delayed recall of word list | 0.431 | 0.050 |
EXECUTIVE FUNCTION | Phonological verbal fluency | 0.440 | 0.059 |