Cost benefit of academic mobility,brain drain and migration: Western balkans in a crossroad

1. Introduction

Due to political challenges, followed by low economic development, low level of education in general and accounting in particular, and long-term transition for the Western Balkan countries, academic mobility, exchange, and partnership with the European Union (EU) and other worldwide educational institutions are crucial. However, the academic mobility and free movement of people from the Western Balkans to the EU and other countries has been a source of migration and brain drain. In recent years, Albania, Bosnia and Herzegovina, and Kosovo have witnessed a notable increase in the number of skilled individuals seeking employment outside the country, including healthcare professionals. This trend has raised concerns about the potential brain drain and its impact on the country’s workforce, particularly in critical sectors such as healthcare [1].

Apart from challenges, other studies support the idea that, for the Western Balkans, emigration has been a tremendous source of growth, experience, and connections with the global market, mainly circular migration supported by the EU programs. Returnees to the region significantly impact government services, reforms, and the financial sector, with many now working in these areas [2]. At least 20 percent of employees in the financial industry in Bosnia and Herzegovina, Serbia, and Croatia hold foreign degrees. Most Albanian government employees were educated abroad by using different financial support. With connections between knowledge-intensive sectors and institutions in the Western Balkans and Western Europe, these professionals with international education and experience could improve the local administration and create a better working environment in their home countries [3].

The research objective of this paper is to determine the migration intentions of young healthcare professionals currently living in Albania, Bosnia Herzegovina, and Kosovo based on push and pull factors that influence labor movements from home to destination countries. The push and pull factors are analyzed Different from the existing literature, this paper ¹ emphasizes accounting literacy as one of the unexplored push and pull factors that influence the migration intentions of young healthcare professionals.

To continue, this paper initially addresses theoretical issues on push and pull factors, followed by methodology and empirical results. Furthermore, the paper continues with interpreting results, conclusions, and references. The paper will discuss the interlinkage between the push and pull factors affecting the migration of young healthcare professionals, including opportunities and challenges for the Western Balkans [4].

2. Theoretical framework

In the global context, migrations are not a new phenomenon. Throughout history, people have always migrated, sometimes in groups or as individuals, and for multiple reasons. The most common types of migration are from war or poverty, political instabilities, religious intolerance, or better opportunities for themselves and their families.

The workforce has become one of the most dominant migration trends as knowledge has become one of the most valuable resources in economies. In addition, according to a study of International Organization for Migration (2022) ² , the structure of people who intend to migrate is currently changing from low-skilled people to more educated people, which is a challenging process for the countries of the Western Balkans [5].

Regarding brain drain and academic mobility, many countries around the globe experience the phenomenon of brain drain, which is generally defined as a massive and permanent outflow of highly qualified individuals (researchers, academics, and scientists) from home to foreign (or so-called ‘receiving’) countries. According to [6], academic mobility strongly impacts mutual understanding, quality enhancement, a more prosperous cultural life, and personality development. At the same time, other authors, such as [7], pointed out the potential challenges from academic mobility, such as misunderstandings and new mistrust, and – last but not least – ‘brain drain’. Additionally, several authors pointed out that the academic mobility of researchers, respectively “brain circulation,” helps to exploit the high-quality human capital and contributes to the increase of skilled human capital that supports economic sustainability [3].

The concepts that describe the phenomenon of brain drain usually start from the analysis of the decision of a highly educated person to emigrate and what effects his departure may have in the country of origin. If the phenomenon is viewed from the perspective of highly developed countries, then the policies of these countries to attract qualified labor play a decisive role. This is the case with the European Union (EU), which issues the Blue Card as a residence and work permit for the experts it needs. It is a policy that draws, most often, the technical knowledge of experts in developing countries to increase the wealth of developed countries. In addition to brain drain analysis, it should be emphasized that in addition to financial and personal motives, an important role in the decision to migrate is also played by the better organization of the system and the conditions in which the qualified work. Deterioration of working conditions in the country of origin can lead to what was initially a temporary migration and then become permanent. If the departure of the skilled causes the loss of the country of origin to be greater than the gain, then we are dealing with brain drain and not mobility [8].

The brain drain – or the movement of highly skilled human capital from developing to developed countries – is driven by aspirations for a better quality of life and the growing demand for skilled personnel in developed countries. Health-related report, for example of Westmister Foundation for Democracy, emphasize that the brain drain of health professionals negatively affects the population’s health and general development situation in the countries of origin. ³ According to the United Nations Development Program (UNDP), the brain drain is a link in a vicious cycle of capacity depletion that will continue to impact developing countries and their path toward sustainable development. ⁴ These countries are less equipped with qualified people, who are a vital asset in creating the conditions for economic growth ⁵ . UNDP considers international migration a highly politicized issue, with developed countries struggling to attract highly skilled labor to fill gaps in IT, education, science – especially medicine – and other highly specialized fields [9].

In Germany, the Law on Immigration of Skilled Workforce has been put into force, which allows workers qualified in professional education from countries outside the European Union to immigrate more easily to Germany. This law mainly affects skilled workers. ⁶

The German authorities announced 2022 that this country needs about 400,000 qualified workers from other countries every year, especially in healthcare.

The analysis of this paper will focus on the health sector, as employment opportunities in the health sector have recorded their most substantial growth over the past few decades, and the health sector itself is absorbing about 10% of the workforce. Despite the rising employment, shortages are already evident. According to [10], the European health system is facing the issue of retirement, the rise in life expectancy, and the aging of the population, which is further increasing the demand for health professionals. The paper further describes the current situation in Albania, Bosnia Herzegovina, and Kosovo regarding migration trends, with a particular focus on young healthcare professionals and their lack of accounting literacy in evaluating personal finances.

The intention to migrate encompasses various factors that allow individuals to move from one geographical area to another. Push factors comprise elements such as limited prospects, inadequate wages, joblessness, substandard health and educational conditions, insecurity, unfavorable work environments, and corruption. At the same time, pull factors consist of enticements drawing individuals towards another location for superior academic and healthcare opportunities, increased job prospects, enhanced life security, and lenient immigration regulations. These push-pull factors are further categorized into (a) individual socioeconomic aspects, (b) incentives and prospects, (c) institutional elements, and (d) labor market conditions. These determinants significantly influence individuals’ decision-making processes when contemplating migration [11]. The existing research indicates that education, both in host and home regions, significantly influences individuals’ decision-making processes. Previous studies have highlighted that inadequate education in one’s home region increases the likelihood of migration to host regions in search of better wages, more opportunities, and an improved standard of living [12]. Conversely, better education opportunities in host regions as a primary attraction for young talent. Numerous studies have established a clear and positive correlation between brain-drain migration, education, and technology transfer. Brain-drain migration can transform into brain gain for home regions when highly educated and skilled individuals return with international exposure and expertise, contributing positively to their homecountries [13].

3. Methodology

To analyze this phenomenon, the surveys are employed to address the respondent’s intentions to migrate and work abroad and identify the socio-demographic factors that act as the main drivers behind these intentions. The Western Balkans supported endorsed the survey

Alumni Association (WBAA), and by the European Commission. The present study thoroughly examines scholarly literature surrounding the concept of health experts’ migration, utilizing qualitative and quantitative research methods. The foregoing research is conducted through a survey questionnaire comprising twenty-one questions and distributed among 300 nursing students from various colleges and nursing departments in Albania, Bosnia and Herzegovina, and Kosovo in 2022.

The survey was designed collaboratively, based on [24, 25] respondents’ demographic background, educational history, accounting literacy, education level, and attitudes and intentions regarding migration and working abroad. The survey was administered electronically, ensuring confidentiality and anonymity for the participants. The target population for this survey included students enrolled in secondary medical schools and medical universities across Albania, Bosnia and Herzegovina, and Kosovo. A random sampling technique was employed to ensure representation from various regions and educational institutions. The survey was distributed through academic institutions and online platforms frequented by the target population. Through this survey, we tried to address one of the main hypotheses of this paper, which is that the lack of accounting literacy and education stimulates migration to developing countries [26].

This paper investigates the correlation between the variables, and a series of Pearson product correlations was used. Logistic regression was selected to evaluate the future intentions of migrating from the Western Balkans. In our proposed model, the brain drain is the dependent regression variable with a discrete choice and binary outcome. If an individual plans to migrate, we assign a value of 1; if there is no future intention to relocate, we assign a value of 0 [7, 27]. Given the limited number of binary dependent variables, we employed logistic regression, linear probability, and simple regression models. Logistic regression was chosen because it can address potential biases in simple regression and linear probability models. It offers flexibility with explanatory variables and provides meaningful interpretation of results. The functional form we estimated follows Equation 1 [28].

Y i = α + X i β + e i

(1)

We estimated three logistic models: push factors according to Equation 2, pull factors according to Equation 3, and a combination of push and pull factors according to Equation 4. Concerning Equations 2, 3, and 4 the following α₀, α₁α₂ are the intercepts, while the γ₁, γ₂ ⋯ γ₁₆ are coefficients of regressors.

BD = α 0 + γ 1 AL + γ 2 HMSO + γ 3 HEO + γ 4 HOHC + γ 5 PUC + ɛ 1 t

(2)

BD = α 1 + γ 6 DW + γ 7 DBPO + γ 8 DBLC + ɛ 2 t

(3)

BD = α 2 + γ 9 AL + γ 10 HMSO + γ 12 HEO + γ 13 PUC + γ 14 DW + γ 15 DBPO + γ 16 DBLC + ɛ 3 t

(4)

4. Results

The analysis of the survey data yielded significant insights into the intentions of students in secondary medical schools and medical universities to migrate and work abroad. The findings shed light on the socio-demographic factors that drive their decisions, as well as their perceptions of the benefits and challenges associated with international work opportunities. Below is a detailed analysis of the survey results.

4.1. Gender

According to the data presented in Table 1, in Albania and Kosovo, most of the people who completed the questionnaire were women, while in Bosnia Herzegovina, more men completed it, and more men completed it. Data in Table 1 shows the percentage of respondents according to their gender. In Bosnia, out of 100 respondents, 46% are women and 56% are men; in Albania, out of 100 respondents, 74% are women and 26% are men; and in Kosovo, out of 100 respondents, 69% are women and 31% are men.

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Table 1.

Gender of respondents.

Category	Albania	Bosnia and	Kosovo
		Herzegovina
Gender	Percentage	Percentage	Percentage
Male	26%	56%	31%
Female	74%	46%	69%

Source: Own calculations.

4.2. Age

According to data in Table 2, most respondents were between 19 and 24 years old. In Albania and Kosovo, the second largest group comprised people aged 25 to 30, with 25% in Albania and 23% in Kosovo falling in this age range. Meanwhile, in Bosnia and Herzegovina, the second largest group comprised individuals aged 16 to 18. While some nurses in Albania and Kosovo had several years of experience (including those over 31) and participated in the survey, no experienced nurses in Bosnia and Herzegovina completed the questionnaire.

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Table 2.

Age of respondents.

Category	Albania	Bosnia and	Kosovo
		Herzegovina
16–18	5%	39%	18%
19–24	52%	49%	47%
25–30	25%	12%	23%
>31	18%	0	12%

Source: Own calculations.

Albania: One noteworthy characteristic of the participants is the predominance of youth within the sample. A significant proportion of the survey participants, precisely 52%, were found to fall within the age bracket of 19–24 years. Moreover, 25% of the respondents belonged to the age group of 25–30 years. Merely 18% of those surveyed possess the characteristics of being senior and highly proficient individuals in their respective fields.

Within the survey participants, a minority of 5% are identified as high school students who desire to pursue advanced educational opportunities in the nursing field.

Bosnia and Herzegovina: Most respondents, precisely 49% of the surveyed population, were 19 to 24 years old. This age group constituted the largest segment of the sample, signifying a substantial representation of young adults in the surveyed population. The second-largest group comprised individuals aged 16 to 18, accounting for 39% of the respondents. In the 25 to 30 age range, 12% of the surveyed population fell within this category, representing a smaller proportion than the previous age groups.

Kosovo: Regarding the age of the visitors, the 19–24 age group dominated at 47%, followed by the 25–30 age group at 23%. The 16–18 age group followed with 18%, while only 12% of participants were over 31.

4.3. Education level and accounting literacy

Referring to the data introduced in Table 3, the categorization of students based on their academic association disclosed that most respondents were medicine learners at the Health Studies Faculty. Correspondingly, in Albania, most individuals who have completed the survey are students at the Faculty of Medicine, with 77% at the undergraduate degree (Bachelor) and 18% at the postgraduate level (Master). In contrast, in Kosovo, out of the 82% enrolled in the Faculty of Health Studies, 51% are undergraduates (Bachelor) and 31% are postgraduates (Master). Meanwhile, in Bosnia and Herzegovina, the participants consist of 47% undergraduates (Bachelor’s) and 48% high school students.

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Table 3.

Educational level and accounting literacy of respondents.

Category	Albania	Bosnia and Herzegovina	Kosovo
Education level	Percentage	Percentage	Percentage
High school	5%	45%	18%
Bachelor	77%	47%	51%
Master	18%	8%	31%
No accounting literacy	76%	73%	78%
Basic accounting literacy	19%	24%	18%
Intermediate accounting literacy	5%	3%	4%

Source: Own calculations.

Albania: Through the implementation of our questionnaire, our objective was to encompass individuals aged 16 years and above. Consequently, we were able to obtain responses from diverse participants, including secondary school students and seasoned healthcare professionals, such as registered nurses. Based on the survey data, it was observed that most respondents, 52%, were identified as students. Among the student participants, 9% belonged to the first year of their undergraduate studies, followed by 14% in the second year, 19% in the third year, and 10% identified as master’s degree students. According to the data, 43% of the examined individuals possess significant health expertise, while 5% comprise secondary school students. When asked about accounting literacy, most respondents do not have any knowledge that would allow them to compare the living costs, expenses, and taxation between the country of origin and the destination country [29].

Bosnia and Herzegovina: In the surveyed population, the distribution of students based on their academic affiliation revealed that 47% of the participants were medical students at the Faculty of Health Studies. Furthermore, 8% of the respondents were enrolled as students at the Faculty of Medicine, while a significant proportion of 45% represented students from secondary medical schools. Including students from the Faculty of Medicine provides insights into the perspectives of future physicians. In contrast, the significant representation of secondary medical school students highlights the interest and aspirations of individuals pursuing a nursing or medical career at an earlier stage of their education. Regarding accounting literacy, a similar situation occurs in Albania, as respondents do not have the basic skills to compare the net financial benefits of living in different countries.

Kosovo: From the conducted surveys, results showed that 18% of the participants had a high school medical degree, 51% of the participants had a bachelor’s degree in nursing, and 31% of the Participants were in the final year of the master’s degree in nursing or health management. Kosovo follows the same trend regarding accounting literacy, indicating that students in medical schools in the Western Balkan countries lack accounting literacy to help them better evaluate the financial benefits of migrating to another country.

4.4. Migration intentions

The data in Table 4 indicates the prevalence of students aspiring to relocate from their respective countries is prominent across all three countries. Kosovo out, with 86% of students expressing their desire to move abroad, topping the list. Albania and Bosnia Herzegovina exhibit a nearly identical proportion of students wishing to migrate, with only a marginal 1% discrepancy. The survey indicates that respondents are not aware of the costs and expenses incurred by living in the country of destination. Survey findings indicate that most respondents in the three countries in the Western Balkans lack proper and detailed information on the living costs and the basic accounting principles to evaluate the migration costs to the destination country properly. The absence of accounting literacy and information on the migration costs are often not adequately considered before deciding on their migration [29].

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Table 4.

Student’s migration intentions.

Category	Albania	Bosnia and	Kosovo
		Herzegovina
Migration intentions	Percentage	Percentage	Percentage
Yes	72%	71%	86%
No	28%	29%	14%
Lack of knowledge of living expenses and taxation of the destination country.	69%	74%	71%
Little knowledge of living expenses, and taxation of the destination country.	22%	19%	21%
Moderate knowledge of living expenses and taxation of the destination country.	9%	7%	8%

Source: Own calculations.

Albania: Inquiring as to whether they have contemplated departing from Albania, 72% of participants responded in the affirmative. Meanwhile, 28% of respondents indicated they had not considered departing from Albania. When surveyed about their intentions to emigrate from Albania, the respondents were asked to indicate the timing of their decision-making process. Most respondents, comprising 27% of the sample, indicated an immediate desire to depart from Albania following graduation. Amongst those respondents, a prevailing sentiment was a lack of interest in pursuing further academic specializations within Albania. Conversely, a minority of respondents, representing only 5% of the sample, expressed a willingness to remain in Albania as specialists for 2–3 years before considering emigration [30].

Bosnia and Herzegovina: The students were asked about their migration intentions and the knowledge they have on living expenses, minimum wage, accommodation rent, childcare, taxation, transportation costs, leisure activities, etc. Among the respondents, 71% indicated they were considering or would be willing to leave BiH, while 29% preferred to stay. This shows a significant portion of students contemplating migration, suggesting potential challenges in retaining talent within the country. For those who indicated a willingness to leave BiH, further questions were asked to understand their plans regarding migration. The data showed that among the respondents who expressed a positive stance towards migration, 38% stated that they planned to migrate immediately after completing secondary school or university. Additionally, 21% said they would migrate immediately after completing their specialization. A significant percentage of 25% said they would migrate within a year if they could not find employment. Furthermore, 29% of respondents did not display their specific plans regarding migration.

Kosovo: The results of the research show that 86% of the respondents have intentions to migrate, while only 14% of the research participants have no intention to leave their place of origin.

4.5. Benefits of education and accounting literacy in the home country

As shown in Table 5, individuals from Bosnia Herzegovina and Kosovo exhibit doubt regarding the advantages they can derive from receiving education within their respective countries. Specifically, 71% of Bosnians and 69% of Kosovars expected benefits from formal education in their country to some extent. Conversely, of respondents from Albania, precisely 52% possess high levels of confidence in the Albanian education system, owing to the collaborative initiatives that Albanian Universities have established with foreign Universities. Most respondents indicate that accounting literacy makes it easier to understand different taxation systems and better calculate the living costs and expenses in the destination country. Also, the lack of an educational system to provide basic accounting concepts to medical students makes it harder for them to understand and manage personal finances between their country of origin and the destinationcountry [30].

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Table 5.

Expected benefits from formal education and accounting literacy in country of origin.

Category	Albania	Bosnia and	Kosovo
		Herzegovina
Benefits of education	Percentage	Percentage	Percentage
in your country
Not at all	0%	9%	18%
To some extent	48%	71%	69%
To a great extent	52%	20%	13%
Benefits of accounting	Percentage	Percentage	Percentage
literacy
Not at all	8%	11%	6%
To some extent	43%	56%	51%
To a great extent	49%	33%	43%

Source: Own calculations.

Albania: When queried regarding the potential efficacy of Albanian education in facilitating migration, the participants exhibited ambiguous attitudes towards the extent to which education received therein would aid them in this pursuit. Some respondents expressed moderate optimism that Albanian education might be advantageous, while others indicated it might be significantly helpful. Around 48% of the respondents expressed their belief that the education system in Albania would have a moderate impact, whereas 52% reported that the education they received would significantly positively influence their personal development.

Bosnia and Herzegovina: These findings indicate that most surveyed medical students in Bosnia and Herzegovina, comprising 71% of respondents, believe that their education in the country will be of some assistance if they decide to leave. A smaller proportion, 20%, expressed a stronger belief that their education would be highly beneficial in such a scenario. However, it is worth noting that a small percentage of respondents, 9%, expressed no expectations regarding the usefulness of their education in Bosnia and Herzegovina in the event of emigration.

Kosovo: The results indicate that most surveyed students in Kosovo believe that formal education in Kosovo meets their expectations to some extent, with a value of 69%. In comparison, 18% of the other participants consider that formal education in Kosovo does not meet their expectations, while 13% have great.

4.6. Reasons for migration

Based on the data in Table 6, 82% of Bosnians state that political instability and graft in their homeland are also drivers for departing Bosnia. In Kosovo, this figure is even higher at 91%, which is also attributable to the political circumstances in the country. A mere 15% of respondents would migrate from Albania for personal reasons. The inability to pursue specialization programs in their respective nations, with rates of 58% for Albanians, 74% for Bosnians, and 65% for Kosovars, incentivizes young individuals to migrate [31].

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Table 6.

Reasons for emigration.

Category		Albania	Bosnia	Kosovo
			Herzegovina
Reasons for emigration	Yes/No	Percentage	Percentage	Percentage
Higher salary	Yes	92%	96%	93%
	No	8%	3%	5%
	No response	0%	1%	2%
Better working conditions	Yes	87%	95%	89%
	No	13%	4%	6%
	No response	0%	1%	5%
Disappointment in the	Yes	62%	80%	77%
healthcare system of the	No	36%	19%	22%
country of origin	No response	2%	1%	1%
Desire to gain life experience	Yes	48%	75%	58%
abroad	No	42%	23%	26%
	No response	10%	2%	16%
Better opportunities for	Yes	82%	88%	80%
professional development	No	17%	11%	18%
	No response	1%	1%	2%
Impossibility of doing	Yes	58%	74%	65%
specialization in	No	40%	24%	31%
country of origin	No response	2%	2%	10%
Impossibility of finding	Yes	54%	81%	56%
employment in country	No	44%	18%	28%
of origin	No response	2%	1%	16%
Private reasons	Yes	15%	67%	55%
	No	85%	30%	37%
	No response	0%	3%	8%
Political uncertainty and	Yes	78%	82%	91%
corruption in the	No	21%	16%	6%
country of origin	No response	1%	2%	3%

Source: Own calculations.

Albania: The present study revealed three core factors influencing Albanian healthcare professionals’ attrition. Specifically, a significant increase in wage compensation, reaching up to 92%, enhanced working conditions by up to 87%, and improved prospects for professional advancement by up to 82%. Merely 15% of the individuals would undertake migration for personal motives.

Bosnia and Herzegovina: Working conditions (higher pay and better working conditions) were cited as the most common reasons for emigration, with more than 95% of affirmative answers, and better professional development opportunities with 88% of affirmative answers. This is followed by socio-economic and political reasons such as disappointment in the healthcare system of Bosnia and Herzegovina (80%), inability to find a job (81%), and political insecurity and corruption in Bosnia and Herzegovina (82%). Previously, private reasons were significantly more influential, while now they are marked as the least important.

Kosovo: Regarding the reasons for migration, 93% of respondents migrate because of higher salaries, 89% of students because of better working conditions, 77% of participants because of deep disappointment with the healthcare system in Kosovo, and 56% because they cannot find work in Kosovo in the healthcare sector. Improved remuneration, enhanced working environment, and superior prospects for professional advancement are the primary factors that would prompt medical students in these three nations to relocate.

4.7. Regression analysis results

The correlation matrix in Table 7 suggests that future migration intentions in the Western Balkans are inversely associated with improved living standards, enhanced education, increased opportunities, and the availability of amenities. This indicates that these push-pull determinants deter migrants from considering leaving the Western Balkans. Importantly, there is no evidence of multicollinearity among the variables examined. To continue, a critical finding of the results presented in Table 8 is that improving accounting literacy provides better analytical skills to evaluate financial opportunities in the destination country. Accounting literacy is negatively correlated with migration intentions [33]. Additionally, there is a statistically significant and positive correlation between future migration intentions and low wages in Western Balkan countries, implying that inadequate pay in the region and comparatively better pay abroad encourage migration, particularly towards developing countries within the European Union.

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Table 7.

Results of Pearson’s correlation matrix.

Variables	BD	DW	DBPO	DBLC	AL	HMSO	HEO	HOHC	PUC
BD	1
DW	0.0281	1
	(0.0043)
DBPO	0.0213	0.0197	1
	(0.0032)	(0.0084)
DBLC	0.0106	0.0238	0.0511	1
	(0.0221)	(0.0052)	(0.0044)
AL	–0.0625	0.03002	–0.0002	0.0782	1
	(0.0011)	(0.0043)	(0.0525)	(0.0039)
HMSO	–0.4772	–0.0147	–0.0183	–0.0558	0.0226	1
	(0.0031)	(0.0025)	(0.0042)	(0.0037)	(0.0154)
HEO	–0.7353	–0.3881	–0.6610	–0.4731	0.0011	0.8426	1
	(0.0026)	(0.0043)	(0.0359)	(0.0064)	(0.0582)	(0.0072)
HOHC	–0.9103	–0.5832	–0.2151	–0.4423	0.0021	0.9226	0.8876	1
	(0.0016)	(0.0034)	(0.0047)	(0.0105)	(0.0546)	(0.0005)	(0.0016)
PUC	0.4154	0.3389	0.5527	0.2883	–0.0014	–0.6063	–0.5589	–0.7410	1
	(0.0028)	(0.0046)	(0.0033)	(0.0019)	(0.1521)	(0.0048)	(0.0072)	(0.0064)

Note: BD = Brain Drain; DW = Destination Wage; DBPO = Destination Better Professional Opportunities, DBLC = Destination Better Living conditions; AL = Accounting Literacy; HMSO = Home Medical Specialization Opportunities; HEO = Home Employment Opportunities; HOHC = Domestic Opportunities in Health Care; PUC = Political Uncertainty and Corruption.

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Table 8.

Logistic regression model results.

	Model 1	Model 2	Model 3
Push factors
AL	–0.0903 **		–0.0702 **
HMSO	–0.1124 **		–0.0651 **
HEO	–0.0872 *		–0.0352 *
HOHC	–0.1905 **		–0.1486 **
PUC	0.2261 *		0.1914 *
Pull factors
DW		0.1059 *	0.0908 **
DBPO		0.2206 *	0.1601 **
DBLC		0.0981 **	0.0423 *

Note: BD = Brain Drain; DW = Destination Wage; DBPO = Destination Better Professional Opportunities, DBLC = Destination Better Living conditions; AL = Accounting Literacy; HMSO = Home Medical Specialization Opportunities; HEO = Home Employment Opportunities; HOHC = Domestic Opportunities in Health Care; PUC = Political Uncertainty and Corruption.  ^*Indicates the level of significance at 5%.  ^**Indicates the level of significance at 1%.

Furthermore, a positive correlation exists between satisfactory pay in one’s home country and factors such as better quality of life, lower wages, and increased opportunities. Lastly, there is a negative correlation between the absence of basic facilities and low wages, supporting the validity of the results. Similar results are found in [34]. The only push factor that positively influences migration intentions is the political uncertainty and corruption in the host country. The pull factors positively affect migration intentions and are also influenced by the proximity of the Western Balkan countries to the European Union [35].

We systematically applied logistic goodness-of-fit (GOF) at a 1% significance level for all three models, as presented in Table 9. The prediction square hats were found to be statistically insignificant, indicating that the relation test was passed by all three estimated models [7]. During primary data processing, there is a possibility of multicollinearity. To diagnose the degree of multicollinearity in the results, we utilized the variance inflation factor (VIF) and tolerance (1/VIF) metrics across the entire sample. If the values of VIF exceed 10 and tolerance falls below 0.1, further examination of the data may be necessary to address multicollinearity concerns. However, our analysis revealed that multicollinearity is not an issue in the estimated models, as the VIF and tolerance values were within acceptable ranges [36].

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Table 9.

Goodness of fit (GOF) and variance inflation factor (VIF).

	Model 1		Model 2		Model 3
	Logistic GOF		Logistic GOF		Logistic GOF
Pearson’s χ2		102.72 **	Pearson’s χ2	113.15 **	Pearson’s χ2	107.86 **
hat_		0.701 **	hat_	0.648 **	hat_	0.815 **
hatsq_		0.163	hatsq_	0.291	hatsq_	0.137
cons_		0.052	cons_	0.047	cons_	0.061
	Model 1		Model 2		Model 3
	VIF	TOL	VIF	TOL	VIF	TOL
AL	1.34	0.7465			1.42	0.7043
HMSO	1.28	0.7821			1.36	0.7353
HEO	1.56	0.6411			1.68	0.5954
HOHC	1.31	0.7634			1.39	0.7194
PUC	1.42	0.7043			1.61	0.6211
DW			1.89	0.5292	1.93	0.5182
DBPO			1.74	0.5748	1.64	0.6197
DBLC			1.92	0.5211	1.85	0.5415
Mean VIF	1.38		1.85		1.61

Note: BD = Brain Drain; DW = Destination Wage; DBPO = Destination Better Professional Opportunities, DBLC = Destination Better Living conditions; AL = Accounting Literacy; HMSO = Home Medical Specialization Opportunities; HEO = Home Employment Opportunities; HOHC = Domestic Opportunities in Health Care; PUC = Political Uncertainty and Corruption.  ^**Indicates the level of significance at 1%.

5. Discussion

The analysis conducted among medical students in Albania, Bosnia and Herzegovina, and Kosovo provided valuable insights into their migration intentions, motivations, and socio-demographic factors. The findings shed light on the aspirations and concerns of these students regarding their plans, both within and outside the country. One notable finding is that many medical students from secondary schools and medical universities intended to migrate abroad. This trend highlights the issue of brain drain in future years as a Many highly educated individuals, specifically medical professionals, may seek opportunities outside their home country [38].

The finding suggests that these students perceive better prospects for career advancement and personal development abroad. The main reasons cited for considering migration were related to better working conditions, more significant opportunities for professional growth, and dissatisfaction with the socio-economic situation in Albania, Bosnia and Herzegovina, and Kosovo. Political instability, corruption, high unemployment rates, and an inadequate education system contributed to dissatisfaction [39].

The high percentage of students considering migration reflects concerns about the local socio-economic and political climate and the aspiration for better professional opportunities and quality of life. The decision to leave the country is not limited to personal reasons but encompasses many factors [40].

According to a survey targeting young professionals, the primary motivators for emigrating from Albania, Bosnia and Herzegovina, and Kosovo were considered the most significant factors to be professional advancement and working conditions. The present study has identified a range of push factors that negatively impact employee retention. These factors included inadequate remuneration, both in absolute and relative terms, unsatisfactory working conditions, insufficient access to essential resources, limited career advancement and professional development opportunities, a volatile work environment, and economic instability [41].

Insufficient training updates and limited opportunities for further professional development are regarded as professional motives influencing the decision to migrate among junior and seniornurses.

One of this paper’s main findings is that medical students in Albania, Bosnia Herzegovina, and Kosovo cannot make a sound judgment on whether remuneration in the destination country will make them better off. This absence of accounting literacy is the main factor in young healthcare professionals’ poor judgment [34, 35].

6. Conclusions and recommendations

The migration of young healthcare professionals in the Western Balkans typically encounters a complex interplay of economic, social, and psychological factors in their respective countries. Certain factors, namely inadequate remuneration, substandard working conditions, and limited professional potential. Conversely, destination countries are characterized by pull factors such as growing demand for healthcare professionals, augmented earnings, ameliorated working conditions, and abundant opportunities for professional advancement [36, 39].

The findings indicate that issues about the migration of healthcare professionals across countries are increasingly relevant. The ramifications are contingent upon the caliber of the healthcare system, its potential to inspire and engage each successive generation of medical students, and the successful dissemination of knowledge and expertise [40]. There would be a decline in the government’s allocation of resources towards education for these skilled professionals, resulting in a loss of tax revenue based on their income, among other factors. The current situation in Albania, Bosnia and Herzegovina, and Kosovo could deteriorate quickly, leaving the country with a significant shortage of human capacity in health. The loss of qualified professionals from a critical sector for the country’s development, such as health, will harm the country’s economy and the quality of life of its citizens [41].

To ensure efficient management of migration trends and to prevent the departure of the workforce in the health sector, the institutions of these chapters must take concrete steps, including:

Increasing the public budget for health, which should result in the creation of better working conditions in public health institutions;

Finally, apart from the different measures, local institutions should ensure structured mobility programs that allow the exchange of knowledge and the process of its inclusion through non-permanent stays abroad [37]. These can be considered adequate tools to mitigate the integration challenge and contribute to the “circulation of brains” rather than their own “loss. To conclude, all these measures would be more beneficial for the healthcare system in the Western Balkan if the medical students were exposed at least to fundamental accounting principles and knowledge, making them more capable of carefully evaluating the financial costs and benefits [38].