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News

04.02.2015How have FDI flows changed after 2009?

The districts of Burgas and Sofia attract more investment at the expense of Sofia (capital) and Varna.

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03.02.2015What Do You Know About the Infrastructural Development of Bulgaria

The condition of the road network is slowly improving.

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02.02.2015Infographic: What do you know about the demographic development of the country?

Burgas and Sofia (capital) are the only districts in which the annual average population has increased in 2013.

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04.12.2014Presentations of the study in December

Public events, dedicated to the third edition.

After the official presentation of the study "Regional Profiles: Indicators of Development 2014" on November 11the, the IME organised several public events. The English edition of the study was presented on December 3rd and all analysis are now available in both Bulgarian and English.

For a third consequtive year the study "Regional Profiles: Indicators of Development" was subject to widespread media interest.

Sofia, December 3rd 2014

The IME presented the English version of the study “Regional Profiles: Indicators of Development 2014” on December 3rd 2014. The event was attended by representatives of foreign embassies and chambers of commerce and industry.

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Desislava Nikolova, Petar Ganev, Yavor Aleksiev

Sofia, Decmber 1st 2014

On December 1st 2014 the Institute for Market Economics organized a round table discussion, as part of the project “Regional Profiles: Indicators of Development”. The discussion was attended by experts from public administration and NGOs, academics and professionals in the fields of regional development and statistics.

Svetla Kostadinova, Desislava Nikolova, Petar Ganev, Yavor Aleksiev

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11.11.2014Regional Profiles: Indicators of Development 2014

The Bulgarian edition of the study was presented on November 11th, 2014.

The third edition of the study "Regional Profiles, Indicators of Development" will be presented on a special press conference on November 11th, 2014 at 11.00 AM.

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The event will be held at the BTA.

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20.10.2014Daily Labor Migration Among Disticts 1975-2011

The article will be available in English on October 23th, 2014.

Yavor Aleksiev, Maria Neeva

 

Daily labor migrants are one of the most important groups in contemporary labor markets, as they illustrate labor market flexibility and to some extent - the mobility of labor resources. These are people who live in one place, but they leave its borders daily to go to work in another. The total number of Bulgarians who travel every day to work is 400.3 thousand people in 2011, which means that about 14% of the workers in the country are with such status. Of them 104.3 thousand people leave not just the boundaries of the settlement in which they live, but also those of the entire district.

Daily labor migrants generally earn their money in one place, but they spend it in another. This way they contribute to the development of their own city (or town, village) and to the diminishing (or at least the slower deepening) of the differences between regions. An increasing share of daily labor migrants in the labor force is often interpreted as an indicator of increasing labor mobility of the population, and in the long term - the overall competition for work force in the labor market. Labor migration data is provided by the Population census in 1975, 1985, 2001 and 2011.

Several trends can be distinguished:

The proportion of daily labor migrants in 1975 and in 2011 is practically the same - 14% of all employees. At the same time, between 1975 and 2011 there is an increase in the proportion of daily labor migrants who leave the boarders of the district in which they live. In the period between 1975 and 2001 that proportion increased slightly from 10.2% to 11.5%. Between 2001 and 2011 this share reached a little over 26 percent, which is evidence of a rapidly increasing labor mobility between regions during the last two censuses.

It is worth taking a look at the distribution of employees depending on whether their work destination is a city or a village. Somewhat opposite to the intuitive perceptions in regard to labor market development a significant part of the traveling workers continue to find employment in villages throughout the whole period between 1975 and 2001. The first significant increase in the share of those employed in cities is not observed until 2011.

Figure 1: Proportion of daily labor migrants depending on the kind of location in which they work (1975-2011), %

Source: NSI, IME

The reason for this is the already mentioned increase in the proportion of migrants between different districts. The majority of those migrants traditionally leave their district to go to work in a city, which is located outside its boundries.

Labor migration between districts

Although in most areas the number of employees who travel daily as a share of the total number of employed people remains stable, there are some areas in which changes are observed. The most significant changes are precisely between the Census in 2001 and Census in 2011, when the share of daily labor migrants working outside their own district increased in all regions, despite the overall decline in labor migrants in some regions.

 

 

Increase of daily labor migrants (number of people)

Overall increase in the numner of the employed

Increase of DLM

DLM, working in the same districts

DLM, working in another districts

Country total

236 810

71561

4 996

66 575

Blagoevgrad

5 282

2807

1 128

1 679

Burgas

18 276

5435

4 470

965

Varna

37 695

2494

442

2 052

Veliko Turnovo

44

4597

2 794

1 813

Vidin

-5 000

-30

-447

417

Vratsa

-4 670

1847

-581

2 428

Gabrovo

-4 732

442

-434

876

Dobrich

4 553

2323

7

2 316

Kurdzhali

-12 224

197

-1 866

2 063

Kyustendil

-2 077

-2151

-4 371

2 220

Lovech

-2 369

1706

-20

1 726

Montana

-12 530

2710

665

2 045

Pazardzhik

8 135

6306

652

5 654

Pernik

5 990

4194

-1 613

5 807

Pleven

-6 391

2951

330

2 621

Plovdiv

33 701

11565

8 350

3 215

Razgrad

-10 440

2433

438

1 995

Ruse

4 178

2854

1 815

1 039

Silistra

-3 727

395

-903

1 298

Sliven

-3 107

3009

882

2 127

Smolyan

-2 187

1512

-475

1 987

Sofia

9 726

6098

21

6 077

Sofia (cap.)

157 797

-4114

-11 125

7 011

Stara Zagora

15 426

2880

1 138

1 742

Targovishte

1 254

2538

1 337

1 201

Haskovo

3 530

1971

189

1 782

Shumen

442

2249

802

1 447

Yambol

205

2343

1 371

972

 

Source: NSI, IME

In absolute terms the largest increase is in Sofia (capital). While in 2001 only 627 people worked outside the district, their number reached 7 011 people in 2011. At the same time, the share of daily labor migrants from the capital (1.22%) remains low.

Figure 2: Number of daily labor migrants working in other district in 2011

Source: NSI, IME

As in 2001 the largest number of workers in 2011 leaving the limits of the district they live in were from Sofia and Pernik - respectively 20.6 and 12.0 thousand. This movement is due to the fact that the capital city has a strong attraction as the leading business center in the country and respectively - the proximity of the Sofia and Pernik districts to it. The lowest number of daily labor migrants were registered in Vidin - only 436 people.

In the period 2001-2011 the number of employees in the whole economy increased from 2.59 to 2.83 million people (236.8 thousand more), while the number of daily labor migrants between districts increased from 37.7 to 104.3 thousand people (or 66.6 thousand people). This means that for the period between 2011 and 2001 , 28 out of every 100 additional working places went to migrant workers. In some regions, the growth in the number of labor migrants is almost equal to the total decline in the number of people employed. For example, in Smolyan a simultaneous decrease in the number of employed by 2 187 people and a growth of labor migrants by 1 987 people was  observed. Thus the daily labor migration contributed to the maintenance of household labor income and the overall rate of employment in smaller areas, offsetting diminishing job opportunities in that region. In some areas, the increase in the number of labor migrants was even higher than the overall growth of the number of employees. For example, in Shumen there was an increase in the total number of employees by 442 people and an increase in daily labor migrants by 1 447 people. This means that some of the people who previously worked in that district started working outside its borders, but did not change their residence.

In the major economic centers of the country the situation is completely different. Despite the increasing number of daily labor migrants, only 4 out of every 100 new jobs in Sofia (capital) in 2011 compared to 2001 went to migrant workers leaving the district. Similar ratios are observed in Burgas (5/100), Varna (5,100), Plovdiv (10/100) and Stara Zagora (11/100).

In all areas of Northwestern Bulgaria the increase of the number of daily labor migrants to other areas was not sufficient to offset the overall decline in the number of employed people. Part of the explanation of that process can be the territorial remoteness of districts such as Montana and Vidin from the strong economic centers in the country – i.e. those that attract additional labor force. Weak infrastructure development (compared to other regions of the country) probably also has a negative effect on labor mobility.

Further increase in the intensity of daily labor migration is essential for sustaining the economic vitality of some of the remotest and poorest areas of the country. The number of daily labor migrants’ dynamics between the censuses in 2001 and in 2011 shows that labor migration between districts is on the rise. This is a trend which will help natural cohesion, or at least - the slower deepening of differences between regions.

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13.10.2014The Effects of Ethnicity, Age and Employment on Parliamentary Elections 2014

MRF gains from the "ethnicity" factor, BSP gains from "age", and CEDB - from "employment".

Yavor Aleksiev

 

After the previous parliamentary elections held in 2013 we examined the relationship between three major socio-economic factors (ethnicity, age, and occupation) and the results of the leading parties in the different districts of the country[1]. The results from the parliamentary elections held this month confirm some observations from last year – MRFMRF takes advantage of the “ethnicity” factor, BSP takes advantage of the “age” factor, CEDBCEDB takes advantage of the “employment” factor.

MRF takes advantage of the “ethnicity” factor

The distribution of votes in 2014 among districts has once again been significantly affected by the ethnic origin of the local population. In areas where the proportion of people who declare themselves Turks is over 30%, MRF won between 34.3% (Silistra) and 70.43% (Kardzhali) while nationwide, the party managed to win 14.84% of the votes. In areas with similar socio-economic profile such as Vidin and Kyustendil, in which the share of the Turkish population is smaller, the party gets respectively 6.64% and 1.47% of the votes.

Figure 1: Ethnicity and MRF election result

Source: Sources: CEC, NSI , IME calculations

The distribution of votes by district shows that MRF is the only of the 4 leading parties where there is a strong negative correlation between the share of the urban population and the election result. This means that the smaller the proportion of the urban population in one district is the higher is the MRF election result.

BSP takes advantage of the "age" factor

BSP is the only party which showed a positive correlation between the age structure of the population in most areas[2] and its tendency to vote for a given party. Its best results are achieved in districts[3] where the age dependency ratio of the population over 65 to that aged 15-64 is over 33%. This means that in these areas there are three or fewer people of working age for every person aged over 65 account for.

Figure 2: Age dependency and election result BSP

Source: NSI, CEC, IME calculations

BSP achieved its strongest result in Vidin, winning 27.93 percent of the vote. At the same time, although the relationship between the age of the population in different districts and its propensity to vote for BSP remains strong, the party failed to win in any of those nine areas. At the previous parliamentary elections, the party won in eight of them.

CEDBCEDB takes advantage of the “employment” factor

CEDB is the only party where electoral support exhibits a positive correlation with district employment rates.[4] This relationship is negativ only for BSP the results of RB and MRF show no distinctive connection with employment.

Figure 3: Employment and election result of CEDB

Source: NSI, CEC, IME calculations

CEDB’s results also show the most clearly expressed positive relationship between the share of urban population in different regions and the result of the party - in more urbanized areas CEDB wins a larger share of the vote.

The Reform bloc

The results of RB at the parliamentary elections in different districts revealed no clear relationship (positive or negative) between the votes received and the reviewed socio-economic indicators characterizing ethnicity, settlement, age structure and labor market situation.

 

 [1] The figures represent a conditional comparison of viarious socio-economic indicators and election results in different administrative regions. These are under no circumstances to be considered as proof of the electoral moods of citizens based on their ethnic origin, age or socio-economic status; rather, these depict common tendencies in the shaping of political preferences of groups of people living in a different social, economic, political and cultural context.

[2] The five regions where MRF’s electoral dominance can be primarily attributed to the ethnicity factor have been excluded from the comparison between the age dependency ratio and the results of BSP.

[3] Vidin, Vratsa, Gabrovo, Kyustendil, Lovech, Montana, Pernik, Pleven and Yambol.

[4] The five regions where MRF’s electoral dominance can be primarily attributed to the ethnicity factor have been excluded from the comparison between the employment rate and CEDB’s results.

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