The opportunity of stimulation measures for the Romanian migrants return i

With the rise of globalization and democratic transformations in more developing countries the migration flows have taken a new scale at the global level. At the European level the increased migration flows were supported by two main factors: the collapse of communism in Central and Eastern European Countries (CEEC) and then, by the integration of these countries in the European Union. Beyond the net benefits for workers and destination countries there is a series of Abstract


Introduction
With the rise of globalization and democratic transformations in more developing countries the migration flows have taken a new scale at the global level.At the European level the increased ______________________________________________________________________________________________________________ ______________ Dorel Ailenei, Amalia Cristescu and Andrei Hrebenciuc (2015), Journal of Eastern Europe Research in Business and Economics, DOI: 10.5171/2015.181957controversies related to immigrants pursuing fraudulent objectives in their labor market integration.On the other hand, migrants' countries of origin reclame the significant loss of labor force that negatively affects internal labor markets and economic growth.Under these conditions tensions frequently occur concerning new immigration flows from CEEC's into old E.U.'s Member States.
However, beyond the tensions over the economic policy, what matters is the behavioral motivations of emigrantspeople who strive to become free.From this perpective, the economic literature proposes a number of theories dedicated to the phenomenon of migration, from which the authors have retained those that might be relevant to the conducted research.

The Keynesian Theory
The Keynesian economic theory believes that labor supply depends also on the nominal wage, not just on the real one.This distinction stems from the different views on the role that money plays in the economy.From this prespective, potential emigrants are attracted into the regions with higher nominal wages.Furthermore, intentions to migrate again or deliver remittances enhance the nominal wage level compared to the actual one.Therefore, it may not be a new balance as the neoclassical theory states , but a decrease in the unemployment gap (Jennissen, 2007).

The neoclassical theory of human capital
The neoclassical theory is supported by followers of the Chicago School of Economics (1950), including Sjaastad, Schultz, Becker, Bowles, Bowman, Myers.This theory approaches the migration process in terms of human capital investmensts and considers that there are big costs in the beginning in order to get further benefits for a longer period of time.It is considered that, if the expected revenues exceed the costs, the person will choose to move.Otherwise, there is not a decision favorable for migration, even if the potential gains from the destination are much more incentives than the ones from the origin country.(McConnell et al., 2010).

The Search Theory (job-matching)
Jackman and Savouri (1992) argue that individuals will migrate after getting a job at the destined location, unlike the traditional approach (neoclassical theory) which considers that migration occurs before finding a job at the destination.This theory studies the macroeconomic outcome when one or more individuals interact.Before taking a decision, an individual must know the available opportunities.Further more, there are two distinct phases in such a decision: first the idividual estimates the migration costs and anticiped benefits for making a favorable decision, or not; then there is an evaluation of the new particular job that will be taken.

Theory of rejection factors -attraction or push-pull
This theory considers that migration is governed by a "rejection-attraction" process, the unfavorable conditions in their original location "forcing" people to emigrate, while the favorable conditions in the destination location attracts the immigration flows.The rejection factors (internal ones) could be caused by: an insufficient income level, a high level of unemployment, low living standards, unfavorable climatic conditions, dictatorial politic regime, religous or interetnic conflicts etc.The attraction factors (external ones) are considered to be: more and better jobs, high living standards, freedom and a democratic political regime, favorable opportunities for career development, health care quality, better conditions for the education of children etc.

The Theory of social networks
This theory addresses the phenomenon from the mass migration perception, considering that in the case of large migration flows there are functional networks that support the migration process.
Such networks involve interpersonal relationships between origin and destination populations based on kinship, ethnicity, or friendship.The "old" ______________________________________________________________________________________________________________ ______________ Dorel Ailenei, Amalia Cristescu and Andrei Hrebenciuc (2015), Journal of Eastern Europe Research in Business and Economics, DOI: 10.5171/2015.181957emigrants provide "new" ones information about the local labor market, existing facilities or provide temporary accommodation (Fawcett, 1989).Bauer and Zimmermann (1995) consider that the migration process is self-propagating due to the fact that the costs and risks become smaller due to these cohorts, or, in other words, migration generates more migration.

The Tiebout theory
The theory states that citizens are free to choose the community they want to live when taking into account the available information.There is an optimal community that maximizes individual utility and ensures the best public services.However, rational communities are trying to stop the bad migration flows and try to achieve an optimum size (Tiebout, 1956).

The empirical analysis
This paper is based on a survey conducted among Romanian immigrants in Italy by the National Research Institute for Labour and Social Protection.It started from the fact that the main destinations of migration flows from Romania are Italy and Spain, which are also Latin countries like Romania.In addition, in the case of Italy, the historical sources and legends claim there are common roots between Italy and Romania.
The sample consists of 1,200 Romanian workers located in four Italian regions: Lazio, Piemonte, Lombardia and Puglia.Data were collected during April-May 2011.
The research had the following objectives: The characteristics of migration flows Thus, as a confirmation of the hypothesis of common historical roots of Italians and Romanians, 71% of respondents said they speak and read easily in Italian, although this language is rarely present in the curriculum programs of secondary education.Only 4.9% of them said they speak and understand little in Italian language.
Interestingly, the gender structure of the flows of foreign immigrants is significantly positive for women (57% women and approx.43% men).Another feature is given by the dominance of Romanian youth in the flows of migrants (32.1% -18 -30 years and 35.7% -30-40 years) as in Figure 1

Figure 2: Distribution on educational levels
Regarding marital status, the survey reveals (Fig. 3) that those who are married (58.5%) or cohabiting (12.7%) predominate.This tendency could favour either the settlement in Italy or the return to the origin country.That is why the authors used the marital status (ms) variable in the logistic regression function from SPSS to determine the intensity of the return trend.However, most of the respondents claim that they live in Italy with a partner (62.7% -Figure 4) and that they are there along with more than 2-3 family members, including children ((76.5%, Figure 5

Participation of Romanian emigrants in the labour market in Italy
In terms of the professional experience accumulated, more than half of the emigrants left Romania from the position of employee.However, 13.8% of migrants come from students which shows that a significant number of Romanian graduates realize their transition from school to work abroad (Italy) and not in Romania (Figure 7).This distribution of responses shows that unemployment was the main economic motivation for emigration.Occupational distribution by sectors (Fig. 8) shows that most of Romanian immigrants in Italy work in constructions (15%), industry (11.8%), trade (8.7%), tourism and restaurants (5.8%).However, the majority (37.1%) of them say that they are working in various activities ((housekeeping, care person), which does not show a definite occupational status, but rather an attempt to adapt to the local labour market in Italy.These results show that Romanian immigrants in Italy are turning to heavy work (26.8% -in construction and industry), or are trying to adapt to different jobs (37.1%).

Figure 8: Activity sectors distribution last month
There is some professional inertia of the Romanian emigrants in Italy in the event of returning in the country (Fig. 9).Most preferred would be the building (80%), followed by trade (68%), tourism and restaurants (62%) and Industry (59%).
However, this matching of the professional profile may have positive effects in the event of returning in the country, by making use of the experience gained in Italy.As a confirmation of the high degree of integration of Romanian immigrants on the Italian labour market, most of them (59.3%)participate in the labour market through contractual relationships clearly defined (Fig. 10).In addition 4% of them work in their field of activity.However, there is a significant part (18%) of Romanian immigrants that work without labour contracts, do not work or do not receive unemployment benefits (13.9%).

Figure 10: Contractual situation of Romanian migrants on activities
Although most (46.6%) of Romanian emigrants earn between 500 and 1,000 euros per month (Fig. 11), a third of them (33,3%) have incomes between 1,000 to 1,500 euros, and about 10 % have incomes of more than 1,500 euros a month.The wage differential is important given that the average monthly net wage in Romania was 355 euros at that period.

Figure 12: Level of Satisfaction at work last month
Even if they are well placed on the labour market, both in terms of income and salary, Romanians feel strongly discriminated from access to employment (82.6%), atmosphere at the workplace (80.5 %), and often think of themselves as victims of aggressions (94.8%).

Estimating the Romanian emigrants' intentions of returning
Most of Romanian emigrants to Italy often visit home (53% of respondents said they come every year, and 14.2% come several times a year), and a large part of them (19.1%) at least once in 2-3 years (Fig. 13.This distribution of responses shows a good connection with the country of origin and could be a solid argument in favour of the possible intention to return to the country of origin.In these circumstances Romanian emigrants are well informed (57.6% -good and very good) about the economic situation in the country (Fig. 14).

Figure 14: Knowledge level of economic situation in Romania
This situation is due to the fact that about a third of respondents have often asked their relatives about how convenient it is to work in Romania, and 29.3% did so occasionally (Fig. 15).However, most of Romanian emigrants show little interest in the situation in the country of origin (29.8 inquire rarely and 24% never).If we consider the age distribution of those who have declared their intention to return, we notice the largest share (68.5%) is found in the age group over 50 years, the reason being supported by homesickness for those who are preparing to retire (Fig. 17).Of the 493 observations used to create the model, 28.1 % of the respondents who would not return are correctly classified, while 88.9 % of the respondents who want to return to Romania are correctly classified.Overall, 68 % of respondents are classified correctly.
The only numerical variable whose coefficient is statistically significant is the measuring seniority in Romania and was denoted by s.
In the analysis, other variables were introduced such as gender, age, education level, employment status in Italy, residential age in Italy, but the forecast showed that they do not significantly influence respondents' intentions.
Logistic regression tests revealed that there is not a clear intention of Romanian emigrants to settle permanently in Italy.This result can be attributed to unfavourable circumstances created by the global economic crisis (the survey was conducted in 2011), when immigrants were afraid that they would be laid off first due to their residential status.However, it was found that throughout the economic ______________________________________________________________________________________________________________ ______________ Dorel Ailenei, Amalia Cristescu and Andrei Hrebenciuc ( 2015  Socio-demographic variables are captured by coded ms and cm and point out that the intention to return to Romania is 1.73 times higher for people who have a spouse (married or are living together with someone in a consensual relation) than the associated single people (divorced, widowed or single), and 2,665 times higher for people who have children in Romania than those who do not have children in Romania, confirming largely the new theory of migration hypothesis (Stark Bloom, 1985) which argues that the decision to migrate does not belong to an individual and therefore should take into account wider social entities such as the family.The latter tends to be risk averse when the income of the whole family is involved.One way to reduce the risk of insufficient income is the migration of one of the family members in order to absorb the benefits of remittances for the family.The migration of a family member is usually temporary because it is either followed by the migration of the whole family, or by the return of the family member.
The return intentions may radically change given that Romanian emigrants would be able to bring their whole family in Italy.
The results of the logistic model show that variables that describe the property ownership affect the return of emigrants from Italy as follows: -The probability of return to the country is 2.4 times higher for people who own a house in Romania than that associated with persons who do not hold such a property.The high explanatory coefficient of this variable shows that having a property in the country is a precaution before emigration.
-The probability of returning to Romania is lower for migrants living in Italy in a house /flat owned by their family than those who live in Italy in a rent or friend's house (coefficient 0.357).
The level of awareness of the labour market in Romania was introduced in the Figure1: Age Distribution of migrants (%)Moreover, the overwhelming majority (78.9%) of Romanian immigrants in Italy have secondary education, and about 11.1% have higher education, a fact which ). ______________________________________________________________________________________________________________ ______________ Dorel Ailenei, Amalia Cristescu and Andrei Hrebenciuc (2015), Journal of Eastern Europe Research in Business and Economics, DOI: 10.5171/2015.181957

Figure7:
Figure7: Occupational status of respondent before migration

Figure: 9
Figure: 9 Distribution of responses on the sector now works in Italy and the sector would return to work in Romania

Figure13:
Figure13: Answers' Distribution on visits frequency in Romania

Figure 15 :Figure16:
Figure 15: Answers' Distribution of how frequent they asked their relatives of the economic situation in Romania However, the overwhelming majority (85.8 %.) of respondents think that it is very

Figure 17 :
Figure 17: Option of returning to Romania on age distribution Interestingly, most Romanian emigrants (42.71%) did not know or did not respond

Table 1
), Journal of Eastern Europe Research in Business and Economics, DOI: 10.5171/2015.181957crisis, very few Romanian emigrants returned home.Logistic regression tests seem to indicate a slight mild intention to return to the country (

Table 1 : Estimation results
). Snell R Square = 0.132 Chi Square 70.094, df = 6, sig = 0.000 Chi Square test statistic value is 70.094 with six degrees of freedom.The associated probability is 0.000 indicating that the model is valid.Among the variables included in the regression model whose coefficients' results were significant according to Wald test values and associated probabilities defined as relevant are the following: