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Investment Activity of Local Administrative Units and the Level of Entrepreneurship Development in the Rzeszów Functional Area


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Map 1

Location and administrative division of ROFSource: Own study.
Location and administrative division of ROFSource: Own study.

Fig. 1

Income of gminas and cities of ROF per capita compared to the region and the countrySource: Own study based on the data from the Statistical Office in Rzeszów.
Income of gminas and cities of ROF per capita compared to the region and the countrySource: Own study based on the data from the Statistical Office in Rzeszów.

Fig 2

Expenditure of gminas and cities of ROF per capita compared to the voivodeship and the countrySource: Own study based on the data from the Statistical Office in Rzeszów.
Expenditure of gminas and cities of ROF per capita compared to the voivodeship and the countrySource: Own study based on the data from the Statistical Office in Rzeszów.

Fig. 3

Dynamics of investments of gminas and cities with powiat status (2012 = 100)Source: Own study based on the data from the Statistical Office in Rzeszów.
Dynamics of investments of gminas and cities with powiat status (2012 = 100)Source: Own study based on the data from the Statistical Office in Rzeszów.

Fig. 4

Investment of gminas and cities of ROF per capita compared to the voivodeship and the countrySource: Own study based on the data from the Statistical Office in Rzeszów.
Investment of gminas and cities of ROF per capita compared to the voivodeship and the countrySource: Own study based on the data from the Statistical Office in Rzeszów.

Fig. 5

Investment of gminas and cities of ROF per capita compared to the voivodeship and the country in 2016Source: Own study based on the data from the Statistical Office in Rzeszów.
Investment of gminas and cities of ROF per capita compared to the voivodeship and the country in 2016Source: Own study based on the data from the Statistical Office in Rzeszów.

Map 2

Enterprises in spatial layout in 2017Source: Own study based on the data from the Statistical Office in Rzeszów.
Enterprises in spatial layout in 2017Source: Own study based on the data from the Statistical Office in Rzeszów.

Fig. 6

Natural persons per 10,000 populationSource: Own study based on the data from the Statistical Office in Rzeszów.
Natural persons per 10,000 populationSource: Own study based on the data from the Statistical Office in Rzeszów.

Fig. 7

Commercial companies per 10,000 populationSource: Own study based on the data from the Statistical Office in Rzeszów.
Commercial companies per 10,000 populationSource: Own study based on the data from the Statistical Office in Rzeszów.

Fig. 8

Newly registered and deregistered entities per 10,000 populationSource: Own study based on the data from the Statistical Office in Rzeszów.
Newly registered and deregistered entities per 10,000 populationSource: Own study based on the data from the Statistical Office in Rzeszów.

Fig. 9

Revenues, costs and cost level indicator from all activities of companies based in ROF in 2012–2016Source: Own study based on the data from the Statistical Office in Rzeszów.
Revenues, costs and cost level indicator from all activities of companies based in ROF in 2012–2016Source: Own study based on the data from the Statistical Office in Rzeszów.

Fig. 10

Share of net revenues from the sale of products, goods and materials for export in net revenues from the sale of products, goods and materialsSource: Own study based on the data from the Statistical Office in Rzeszów.
Share of net revenues from the sale of products, goods and materials for export in net revenues from the sale of products, goods and materialsSource: Own study based on the data from the Statistical Office in Rzeszów.

Fig. 11

Return on sales, return on assets and return on capitalSource: Own study based on the data from the Statistical Office in Rzeszów.
Return on sales, return on assets and return on capitalSource: Own study based on the data from the Statistical Office in Rzeszów.

Fig. 12

Dynamics of investment (previous year = 100)Source: Own study based on the data from the Statistical Office in Rzeszów.
Dynamics of investment (previous year = 100)Source: Own study based on the data from the Statistical Office in Rzeszów.

Fig. 13

Share of net revenues from the sale of products, goods and materials for export in net revenues from the sale of products, goods and materials
Share of net revenues from the sale of products, goods and materials for export in net revenues from the sale of products, goods and materials

Fig. 14

Return on sales, return on assets and return on capital
Return on sales, return on assets and return on capital

Fig. 15

Investments and expenses per capita in the gminas of the Podkarpackie Voivodeship in 2012–2016
Investments and expenses per capita in the gminas of the Podkarpackie Voivodeship in 2012–2016

Spatial inequalities in the functional areas of Eastern Poland

Spatial units groupsInvestment expenditures of gminas per capitaInvestments of enterprises per capita
LubelskiePodkarpackiePodlaskieLubelskiePodkarpackiePodlaskie
Theil standardised index
Gminas in the functional area0.00220.00340.00210.02170.02870.0394
Gminas outside the functional area0.01350.00800.01490.10870.09220.0786
Gminas in total0.01510.00900.01900.15620.11150.1298
Decomposition of Theil’s index
Intra-group inequality68.6%80.3%70.7%68.8%88.1%91.9%
Between-group inequality31.4%19.7%29.3%31.2%11.9%8.1%

Selected indicators characterising ROF in 2016

SpecificationAreaPopulationEnterprisesGmina total incomeGmina own income
in km2ROF = 100%Number2012 = 100Net migration per 1000 populationNumber2012 = 100in million zl2012 = 100in million zlin % of total income
PODKARPACKIE17,8462127,65699.9-0.8148,369107.96,608.6127.92,338.435.4
ROF1048100%363,680102.75.135269115.81 702.8127.7802.347.1
Łańcut urban gmina191.8%17,74997.8-4.11853104.069.3144.738.355.3
Czarna787.4%11,638103.82.3800111.146.8143.617.236.8
Łańcut rural gmina10710.2%21,634102.22.01287109.676.8133.624.031.3
Boguchwała898.5%20,186105.16.7949116.370.3152.228.340.3
Chmielnik535.1%6,815101.63.4386117.724.7137.27.831.6
Głogów Małopolski14513.8%19,628103.13.4978114.173.1146.235.548.6
Krasne393.7%10,989104.28.9985110.238.7145.518.347.3
Lubenia555.2%6,42298.5-1.7279103.321.1116.66.329.9
Świlcza11210.7%16,471102.15.8991108.058.9135.422.638.4
Trzebownisko908.6%21,177104.24.91592119.379.0149.336.245.8
Tyczyn595.6%11,748104.111.3543119.641.8149.313.532.3
Czudec858.1%11,801100.20.9673111.444.0133.310.924.8
Rzeszów11711.2%187,422103.06.423,953118.01,058.3120.4543.451.3

Synthetic indicators in the field of entrepreneurship

VoivodeshipAggregated measureHellwig methodPositional method median of Weber
IndexRankIndexRankIndexRank
2012
Poland0.63610.37810.5271
Podkarpackie Voivodeship0.37230.18130.2093
ROF0.50120.27220.3992
2016
Poland0.47020.29530.4982
Podkarpackie Voivodeship0.43630.29520.2683
ROF0.71410.46210.6661
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