Acta Universitatis Danubius. Œconomica, Vol 12, No 1 (2016)

The Economic Trojan Horse is Actually a German Horse



Romeo-Victor Ionescu1



Abstract: The paper is focused on the immigrants’ impact on the EU’s economy in the context of the latest immigrant crisis generated by Germany and France. The analysis in the paper covers not only the economic negative effects, but the social effects as well. The scientific approach is based on the latest official data. A distinct part of the paper deals with forecasting procedures able to point out the powerful negative impact of the immigrants on the labor market and public finances on short and medium terms. The main conclusion of the paper is that Germany is not able to manage this immigrant crisis and it will try to solve the problem putting pressure on other Member States or translating the crisis management to the global organism, as Davos Conference, for example.

Keywords: migrant distribution keys; relocation scheme; risk of poverty or social exclusion; unemployment rate; labor market.

JEL Classification: E24; F22; F66; I32; J61



1. General Approach

The immigrant crisis becomes the greatest challenge in the EU’s history. The dimension of this migration is impossible to quantify. Moreover, the phenomenon is far away of stopping.

Germany’s initial availability to receive Syrian migrants represented the beginning of an exodus with unbelievable economic, social, political and military implications.

Moreover, it was absolutely obvious to anyone that Germany assumed EU’s leadership and forced other Member States to apply its migrant policy.

The situation is so bad that Germany threatened other Member States to cut the financial assistance from the European Funds. It was an unprecedented action in the EU’s history.

The final result was a European document voted by the Home Affairs ministers, which covered the migrants’ distribution and redistribution across the Member States (European Commission, September 2015).

The worst estimations talk about one million migrants in the first year, but more specialists are more pessimistic. The basic idea is that present migrants are not only war’s victims and do not come only from Syria and options connected to those Member States where they want to arrive: only the most developed countries. This is why Germany, France and Northern Member States supported the migrants’ distribution process.

According to this process, four distribution keys were used in order to quantify the capacity of the Member States to absorb refugees and to integrate them then. These keys are quantified according to: the size of the population (40%), total GDP (40%), the number of asylum applications and resettled refugees per 1 million inhabitants over 2010-2014 (10%) and the unemployment rate (10%).



2. Literature - Critical Overview

There are on many scientific papers focused on the present migration trends. One of them describes the population growth and the less-skilled migrant workers as the main effects of the immigrants’ flows (Card, 2007).

Other specialists focused on the historical overview of the immigration in Europe. This approach is followed by an analysis of the migrants’ advantages and disadvantages on the European labor market (Dustmann & Frattini, 2011).

The immigration as an economic phenomenon is the theme of another research. This approach is followed by an analysis of the immigrants’ effects on labor markets and public finances of host Member States, especially from Northern Europe (Kerr & Kerr, 2011).

An interesting research focuses on long-term immigration characteristics in Europe. The paper covers interesting aspects as the following: access to citizenship, asylum seeking, border enforcement, amnesties and policies to attract talent (Rica, Glitz & Ortega, 2013).



3. Immigrants’ Relocation Schemes vs Immigrants’ History in Europe

According to the above four distribution keys the Members States’ implication on immigrants receiving is presented in Table 1.

Table 1. European relocation scheme (key value-%)

Member State

Key

Member State

Key

Austria

2.62

Belgium

2.91

Bulgaria

1.25

Croatia

1.73

Cyprus

0.39

Czech Republic

2.98

Estonia

1.76

Finland

1.72

France

14.17

Germany

18.42

Greece

1.90

Hungary

1.79

Italy

11.84

Latvia

1.21

Lithuania

1.16

Luxembourg

0.85

Malta

0.69

Netherlands

4.35

Poland

5.64

Portugal

3.89

Romania

3.75

Slovakia

1.78

Slovenia

1.15

Spain

9.10

Sweden

2.92





Looking to Table 1, some remarks have to be done. Denmark, Ireland and UK are not object of the relocation scheme because they didn’t take part in the adoption by the Council of this scheme. All these three countries are developed economies.

The use of the size of the population as main component of the relocation key can lead to strange situations. Romania, for example has to receive more immigrants than Sweden, even that the economic development in Sweden is higher than in Romania. According to the latest official statistical data, the size of the population was 19,511,000 persons in Romania (United Nations, 2015) and 9,838,480 persons in Sweden (Statistics Sweden, 2015). On the other hand, the GDP per capita was 21426 USD (IMF, 2015) in Romania and 47319 USD in Sweden (IMFa, 2015), as well (see Figure 1).

Figure 1. Selected data for Romania and Sweden

Source: Personal contribution

Germany, France and Italy have to receive the greatest number of immigrants. Those who support the immigrant receiving in these Member States talk about that their tradition in having immigrants, but we are not sure that these traditions are good enough to cover the immigrants’ integration in the European economy and society.

According to the latest official statistical data, Germany and France have the greatest Muslim population across the EU28. The greatest part of them is immigrants. The main question is if these two countries succeeded in integrating those immigrants into the European society’s standards and on the European labor market, as well?

The answer to this question is NO!!! For the example, 40.1% of the non- EU - born population in the EU28 was at risk of poverty or social exclusion in 2014. This is why Eurostat implemented a new statistical indicator: AROPE (risk of poverty or social exclusion). This indicator had a negative trend at least from 2005 for whole EU inhabitants (European Commission, 2016).

Figure 2. Evolution of people AROPE by broad group of country of citizenship, EU-28 (%)

Source: Personal contribution using Eurostat data

The situation is worst for the young people at risk of poverty and social exclusion who achieved 43.8% of young people aged 16-29 in the EU for foreign-born in 2013.

One of the elements which supported this situation is the income distribution. The average income for EU nationals was higher (16716 Euros) than for foreign citizens (14580 Euros) in 2014 (see Table 2).

Table 2. Median income by groups of country of citizenship (Euro)


Nationals (20-64)

Foreign citizens (20-64)

EU citizens (20-64)

Non-EU citizens (20-64)

EU28

16716

14580

17938

12633

Belgium

24364

15797

21286

11640

Bulgaria

3648

4090



Czech Rep.

8151

8195

7904

8504

Denmark

29931

22317

24716

19983

Germany

21041

17565

20957

15850

Estonia

8619

6098

6185

6098

Ireland

21345

18521

19106

14167

Greece

8167

4848

6240

4456

Spain

14451

8396

9938

7466

France

22088

15191

21214

13648

Croatia

5566

5489


4703

Italy

17151

11539

12294

11471

Cyprus

15991

11584

12062

10753

Latvia

5846

5075


5050

Lithuania

5426

4536


5206

Luxembourg

40293

29157

30222

23518

Hungary

4688

3860

4206


Malta

13727

13373

14462

12183

Netherlands

22168

18401

22015

14999

Austria

25966

16925

20715

16079

Poland

5511

6504


4679

Portugal

8613

6519

8480

6427

Romania

2325




Slovenia

12382

7624

10018

7540

Slovakia

7335

7426

5976


Finland

25662

19062

23343

15817

Sweden

29334

19459

24315

17250

UK

22979

20038

20110

20002

Source: Personal contribution using Eurostat data

According to Table 2, the greatest gaps between average income of nationals and foreign citizens are in Luxembourg, Sweden, Austria, Belgium, Denmark and France. There are no data for Romania, while the foreign citizens’ average income is higher than nationals’ income in Czech Republic, Poland and Slovakia.

On the other hand, 31.5% of the foreign citizens aged 20-64 faced to risk of poverty in 2014 (see Table 3).

Table 3. Risk of poverty rate (%, 2014)


Nationals (20-64)

Foreign citizens (20-64)

EU citizens (20-64)

Non-EU citizens (20-64)

EU28

15.8

31.5

23.8

37.6

Belgium

10.5

38.9

25.0

58.7

Bulgaria

18.3

6.0


7.2

Czech Rep.

8.8

11.2

15.5

7.1

Denmark

13.2

28.2

20.1

32.7

Germany

17.1

23.2

18.5

29.2

Estonia

17.4

29.9

22.2

30.0

Ireland

14.2

17.7

11.9

42.1

Greece

21.0

47.0

25.0

51.0

Spain

20.0

47.6

36.8

53.5

France

11.5

35.5

22.6

42.8

Croatia

17.5

25.2


30.9

Italy

17.7

35.4

33.5

36.3

Cyprus

10.2

28.2

23.0

36.8

Latvia

17.3

22.8


23.0

Lithuania

17.4

28.9


29.6

Luxembourg

9.5

22.2

19.4

36.7

Hungary

14.1

7.0

7.6


Malta

12.7

20.5

16.6

26.9

Netherlands

12.0

19.5

12.4

26.8

Austria

9.4

33.1

29.5

35.8

Poland

16.3

6.2


7.7

Portugal

18.6

30.0

24.4

31.2

Romania

23.1




Slovenia

12.4

42.9

33.8

44.5

Slovakia

12.0

11.0

18.0


Finland

11.9

28.3

17.7

36.2

Sweden

12.3

38.7

31.6

46.2

UK

14.6

19.4

18.0

21.4

Source: Personal contribution using Eurostat data

Across the EU28, the average risk of poverty rate for foreign citizens was 31.5% in 2014. Some Member States faced to higher poverty rates for foreign citizens: Spain (47.6%), Greece (47.0%), Slovenia (42.9%), Belgium (38.9%) and Sweden (38.7%). The lowest poverty rates were in Bulgaria (6.0%), Poland (6.2%) and Hungary (7.0%). Romania has no data connected to this indicator, even that the Romanians’ rate of poverty was the greatest one across the EU28 (23.1%) in the same year.

On the other hand, the housing and living conditions of migrants are not good enough. Migrants live in households with very low work intensity (Eurostat, 2016).

According to the above analysis, the first intermediary conclusion is that EU was not able to succeed in integration immigrants even before the new wave from 2015.



4. Immigrants’ Impact on the European Economy

Interesting scientific forecasts related to EU Muslim population’s trend lead to a strange conclusion. According to US-based Pew Forum on Religion & Public Life, the Muslim population in the EU28 will increase substantially until 2030 (Simon, 2011). These forecasts were realized under the presumption that that the present demographical tendency will continue (see Table 4).

Table 4. EU Muslim population up to 2030 (million persons)


Muslim population 2010

% total population

Muslim population 2030

% total population

Austria

0.475

5.7

0.799

9.3

Belgium

0.638

6.0

1.149

10.2

Bulgaria

1.002

13.4

1.016

15.7

Croatia

0.056

1.3

0.054

1.3

Czech Rep.

0.004

-

0.004

-

Denmark

0.226

4.1

0.317

5.6

Estonia

0.002

0.1

0.002

0.1

Finland

0.042

0.8

0.105

1.9

France

4.704

7.5

6.860

10.3

Germany

4.119

5.0

5.545

7.1

Greece

0.527

4.7

0.772

6.9

Hungary

0.025

0.3

0.024

0.3

Ireland

0.043

0.9

0.125

2.2

Italy

1.583

2.6

3.199

5.4

Latvia

0.002

0.1

0.002

0.1

Lithuania

0.003

0.1

0.002

0.1

Luxembourg

0.011

2.3

0.014

2.3

Malta

0.001

0.3

0.001

0.3

Netherlands

0.914

5.5

1.365

7.8

Poland

0.020

0.1

0.019

0.1

Portugal

0.065

0.6

0.065

0.6

Romania

0.073

0.3

0.073

0.4

Slovakia

0.004

0.1

0.004

0.1

Slovenia

0.049

2.4

0.049

2.4

Spain

1.021

2.3

1.859

3.7

Sweden

0.451

4.9

0.993

9.9

UK

2.869

4.6

5.567

8.2

Source: Personal contribution using Eurostat data

According to data from Table 4, the Muslim population will have minor impact on labor market in Czech Republic, Estonia, Latvia, Lithuania, Poland and Slovakia in 2030. The Muslim population will stay constant as percentage of total population in Croatia, Hungary, Luxembourg, Malta, Portugal and Slovenia during 2010-2030. The other Member States will face to an increase of the Muslim population as part of the total population.

Nowadays, Germany and France have the largest Muslim population in the EU28. About 3.5 million Muslims live in Germany, but only 20% of them have German citizenship (Euro-Islam.info, 2016). As a result, the first intermediate conclusion of this chapter is that Muslim population will increase powerfully in the EU. And this forecast was realized under normal demographic conditions.

Nowadays, the German and French immigrant policy leads to supplementary high flows. These new immigrants support unemployment rate’s increasing in the receiving Member States. In Germany, for example, the Muslim population unemployment rate is twice as high compared to non-Germans and it achieved 30% in some lands (European Commission, 2016). Moreover, the Muslim population will achieve 20 million in Germany within the next five years. In 2015, 1.5 million asylum seekers entered in Germany and their number will increase in 2016. At least ¾ of them have no qualifications (Eurostat, 2016). The president of the Bavarian Association of Municipalities considered that the Muslim population in Germany represents “a demographic shift of epic proportions, one that will change the face of Germany forever” (Soeren, 2015).

The second intermediate conclusion of this chapter is that the demographic structure of the German population will be change dramatically by the Muslim immigrants in the next five years. The economic impact of the Muslim immigrants is absolutely great. On 22.01.2016, the Vice-Chancellor of Germany Sigmar Gabriel declared that “80% of the refugees do not have any qualifications. An increasing proportion of them are illiterate.” This is the real challenge for the EU labor market. According to the latest official data, the EU unemployment achieved 23.2 million persons in 2015, which corresponded to a rate of 9.5% (European Commission a, 2015). Under the previous assumption that the immigrants will achieve 3 million persons during 2015-2016, the EU28 will face to an unemployment rate of 10.6% at the end of 2016. The real problem is that the domestic employment increase will put under pressure the same unemployment rate in the Member States and the negative effect will be higher in 2016 (see Table 5).

Table 5. EU labor market dynamics (%)


Employment growth rate

2015

Unemployment rate

2015

Employment growth rate

2016

Unemployment rate

2016*

Austria

0.7

6.1

0.8

9.0

Belgium

0.6

8.6

0.7

12.1

Bulgaria

0.3

10.1

0.3

10.7

Cyprus

0.2

15.6

1.2

14.8

Croatia

0.6

16.2

0.7

16.5

Czech Rep.

1.3

5.2

0.2

7.4

Denmark

0.9

6.1

1.0

5.8

Estonia

1.1

6.5

-0.6

6.8

Finland

-0.4

9.6

0.3

11.4

France

0.3

10.4

0.5

29.7

Germany

0.5

4.7

0.6

30.3

Greece

0.4

25.7

-0.6

25.8

Hungary

1.8

7.1

1.1

8.6

Ireland

2.0

9.5

1.5

8.7

Italy

1.0

12.2

1.0

11.8

Latvia

0.2

10.1

0.4

9.9

Lithuania

1.5

9.4

0.2

9.2

Luxembourg

2.6

5.9

2.5

6.2

Malta

2.4

5.8

2.0

5.8

Netherlands

1.2

6.9

1.1

12.4

Poland

1.0

7.6

0.6

14.8

Portugal

1.1

12.6

0.8

14.2

Romania

0.3

6.7

0.4

10.3

Slovakia

1.8

11.6

1.2

11.7

Slovenia

0.6

9.4

0.5

9.7

Spain

2.8

22.3

2.5

32.5

Sweden

1.3

7.7

1.6

11.3

UK

1.7

5.4

1.0

5.4

*under the assumption of the relocation immigrants’ schemes. Denmark, Ireland and UK take not part of this process. Greece and Italy are transit countries.

According to Table 5, 20 Member States will face to higher unemployment rates in 2016 compared to 2015 as a result of the immigrant process. For some Member States, including both which supported this process, the unemployment rates will grow powerfully.

This process will support the disparities increasing across the EU28 (see Figure 3).

2016

2015

Figure 3. Unemployment’s disparities in 2015 and 2016

Source: Personal contribution using Eurostat data



Figure 3 supports the idea of increasing disparities between the Member States as a result of immigrants’ inputs. Moreover, Germany and France can face to unexpected negative effects on their labor markets.

On the other hand, the German government has to allocate 20 billion Euros for immigrants in 2016. The financial efforts focused on immigrants’ support may be unrealistic for many Member States.



5. Conclusions

Germany adopted wrong strategy connected to immigrants’ flows. It wanted to cover the lack of labor supply on German labor market and to become an important actor in the conflict regions. This approach was not good and the present negative results are far away of finishing.

Germany and France operated as leaders of the EU28 and imposed refugees’ quotes to the other Member States, even that they didn’t want this.

Nowadays, EU28 faces to a new important challenge – refugees’ crisis – and has not viable solution for it. This crisis came over the Greek crisis and the whole EU structural crisis, as well.

The whished advantages for the German economy from the refugees’ crisis change into dangerous challenge not only for Germany. EU28 is closed to enter into dangerous economic, social, political and military crisis.



6. References

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de la Rica Sara, Glitz, Albrecht & Ortega, Francesc (2013). Immigration in Europe: Trends, Policies and Empirical Evidence. IZA Discussion Papers, no. 7778, Bonn.

Dustmann C. & Frattini T. (2011). Immigration: The European Experience. IZA Discussion Papers, no. 6261, Bonn.

European Commission (2015). Managing the refugee crisis: immediate operational, budgetary and legal measures. COM(2015) 490 final/2, September, pp. 1-22.

European Commission a (2015). European Economic Forecast – Autumn. European Economy, November, Luxembourg, p. 36.

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Euro-Islam.info (2016). Islam in Germany. Retrieved from http://www.euro-islam.info/country-profiles/germany/#identifier_1_463

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IMF a (2015). Report for Selected Countries and Subjects. Retrieved from http://www.imf.org/external/pubs/ft/weo/2015/02/weodata/weorept.aspx?pr.x=33&pr.y=7&sy=2014&ey=2020&scsm=1&ssd=1&sort=country&ds=.&br=1&c=144&s=NGDPD%2CNGDPDPC%2CPPPGDP%2CPPPPC&grp=0&a=.

Kern, Soeren (2015). Germany: 20 Million Muslims by 2020. Gatestone Institute, Germany.

Kerr. S.P. & Kerr. W.R. (2011). Economic Impacts of Immigration: A Survey. Working Papers, Harvard Business School, no. 09-013, USA.

Statistics Sweden (2015). Population statistics. Retrieved from http://www.scb.se/en_/Finding-statistics/Statistics-by-subject-area/Population/Population-composition/Population-statistics/.

United Nations (2015). World Population Prospects. Working Paper No. ESA/P/WP.241, New York, p. 16.



1 Professor, PhD, Danubius University of Galati, Faculty of Economic Sciences, Romania, Address: 3 Galati Blvd, Galati, Romania, Tel.: +40372 361 102, Fax: +40372 361 290, Corresponding author: ionescu_v_romeo@yahoo.com.

AUDŒ, Vol. 12, no. 1, pp. 151-163

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