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Economic differences of Hungarian Regions

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(1)

Economic differences of Hungarian Regions

• Katalin Czakó

• Veronika Poreisz

(2)

Immigration – emigration Employment - unemployment

High education R&D

Summary

Dynamics of national economic sectors

Territorial differences of GDP

(3)

Source: Based on data from Central Statistical Office

Territorial differences of GDP

500 1000 1500 2000 2500 3000 3500 4000 4500

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010

Hungary Central Hungary Central Transdanubia Western Transdanubia

Southern Transdanubia Northern Hungary Northern Great Plain Southern Great Plain

Change of GDP per capita per regions (thousand Forint)

(4)

Territorial distribution of GDP production in 2000 and 2010

Source: Based on data from Central Statistical Office

(5)

Growth rate of regional GDP between 2000 and 2010, in comparison with the previous year (based on purchasing power parity)

-15%

-10%

-5%

0%

5%

10%

15%

20%

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010

Hungary Central Hungary Central Transdanubia Western Transdanubia

Southern Transdanubia Northern Hungary Northern Great Plain Southern Great Plain

Source: Based on data from Central Statistical Office

(6)

Based on the analysis, the categorization of different regions turned out to be the following:

Budapest: Positive territorial and structural factor, higher than average dynamics

Pest county: Positive regional, negative sectoral factor, higher than average dynamics

Central Transdanubia: Negative regional and structural factor, less than average dynamics

Dynamics of national economic sectors

(7)

Western Transdanubia

Negative regional and structural factor, less than average dynamics. The sectoral factor’s absolute value is only higher in this region than the regional factor.

Southern Transdanubia:

Negative regional and structural factor, less than average dynamics

Northern Hungary:

Negative regional and structural factor, less than average dynamics

Northern Great Plain

Negative regional and structural factor, less than average dynamics

Southern Great Plain:

Negative regional and structural factor, less than averagedynamics

Dynamics of national economic sectors

(8)

Immigration – emigration

Domestic migration Margin

1990 1995 2000 2010

Central Hungary 14 593 2 522 - 269 22 408

Central Transdanubia - 391 938 3 524 - 941

Western Transdanubia - 122 1 349 1 432 1 261

Southern Transdanubia - 903 - 69 - 305 - 3 291 Northern Hungary - 5 931 - 3 117 - 1 402 - 8 304 Northern Great Plain - 6 724 - 1 849 - 2 264 - 7 480

Southern Great Plain - 522 226 - 716 - 3 653

Source: Based on data from Central Statistical Office

(9)

Employment - unemployment

Number of employed people in regions, 1992-2011 (thousand person)

Source: Based on data from Central Statistical Office

(10)

Rate of employed people in economically active ones, in regions, 1992-2011 (%)

Source: Based on data from Central Statistical Office

(11)

Unemployment rate in regions, 1992-2011 (%)

Source: Based on data from Central Statistical Office

(12)

Change of unemployment concentration in the regions of Hungary

Source: Based on data from Central Statistical Office

(13)

Number of graduate employed population in ratio to employed population (1992-2011) (%)

Source: Based on data from Central Statistical Office

High education

(14)

Number and expenses of research and development institutions (2010)

Source: Based on data from Central Statistical Office

Number of

R&D institutions

Cost (million

Ft)

Cost for one institution (million Ft)

Expenditures (million Ft)

Expenditures for one institution (million Ft)

Central Hungary 1 471 179 988 122,4 202 589 137,7

Central Transdanubia 203 14 814 73 16 477 81,2

Western Transdanubia

256 13 109 51,2 15 532 60,7

Southern Transdanubia

203 7 417 36,5 7 928 39,1

Northern Hungary 191 9 970 52,2 11 354 59,4

Northern Great Plain 307 22 949 74,8 27 321 89

Southern Great plain 352 21 074 59,9 23 617 67,1

R&D

(15)

Summary

Increasing trend in differences

Region of capital differs a lot

Nearest data to national average: Western, Central Transdanubia, Northern Hungary

Backward places can be defined

Basis of picking up methods to moderate economy (opposite example:

NFT vs. ÚMFT)

(16)

Thank you for attention!

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