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Agglomeration Economies and Foreign Direct Investment in Advanced Business Services in Poland Cover

Agglomeration Economies and Foreign Direct Investment in Advanced Business Services in Poland

By:   
Open Access
|Mar 2018

Figures & Tables

Figure 1

Distribution of firms by NACE Rev. 2 codes. Source: Own elaboration. NACE Rev. 2 = Statistical Classification of Economic Activities in the European Community, Revision 2.

Table 1

Cumulative revenue of the analyzed ABS firms in the period 2004–2013

NUTS 2 regionsRevenue (million euros)Revenue as a % of total revenue of the ABS sector in PolandRevenue as a % of total number of ABS firms in Poland
PL12 - Mazowieckie14,538.8761,0951.35
PL21 - Malopolskie1,841.417,749.46
PL63 - Pomorskie1,642.966,906.08
PL51 - Dolnoslaskie1,592.996,698.11
PL61 - Kujawsko-Pomorskie841.003,532.03
PL22 - Slaskie815.653.434.73
PL42 - Zachodniopomorskie764.003.211.35
PL11 - Lodzkie709.292.984.05
PL41 - Wielkopolskie673.212.8310.81
PL33 - Swietokrzyskie363.001.530.68
PL62 - Warminsko-Mazurskie10.870.050.68
PL31 - Lubelskie5.600.020.68
Sum23,798.86100.00100.00

[i] Source: Own elaboration.

Abbreviations: ABS = advanced business service; NUTS 2 = Nomenclature of Territorial Units for Statistics, Level 2.

Table 2

Description of explanatory variables

VariableDescription
GDPGDP at current market prices by NUTS 2 regions. Unit: million PLN. Source: GUS
GDP per capitaGDP per capita at current market prices by NUTS 2 regions. Unit: PLN. Source: GUS
Density of ABSNumber of ABS/km2. Unit: ABS firms/km2. Source: own calculation using GUS data
Density of firmsNumber of firms by NUTS 2 regions. Unit: ABS firms/km2. Source: own calculation using GUS data
Research and development expenditureResearch and development expenditure per capita by NUTS 2 region. Unit: PLN. Source: GUS
StudentsNumber of students by NUTS 2 region. Source: GUS
Technical studentsNumber of students of technical universities by NUTS 2 region. Source: GUS
Economics studentsNumber of students of economics universities by NUTS 2 region. Source: GUS
Capital cityDummy for Warsaw
Internal migration densityBalance of internal migration by total population in NUTS 2 region. Source: GUS
External migration densityBalance of external migration by total population in NUTS 2 region. Source: GUS

[i] Source: Own elaboration.

Abbreviations: ABS = advanced business service; GDP = gross domestic product; NUTS 2 = Nomenclature of Territorial Units for Statistics, Level 2.

Table 3

Results of NBRM using panel data

VariableModel 1Model 2Model 3
GDP–19.3000 ***–23.3829 ***–24.4000 ***
(5.9000)(7.0926)(7.1100)
GDP per capita0.1598 ***0.1413 ***0.1401 ***
(0.0223)(0.0255)(0.0229)
Density of ABS85.7252 **164.0711 ***165.7344 ***
(41.5843)(42.4744)(42.9641)
Density of firms10.5880 **10.1525 **10.0919 **
(5.0709)(5.4215)(5.3751)
Research and development spending–0.0005–0.0028 ***–0.0028 ***
(0.0009)(0.0008)(0.0008)
Students0.0183 ***
(0.0049)
Technical students–0.0592 ***
(0.0220)
Economics students0.0078
(0.0090)
Capital city3.5678 **3.4954 **
(1.6335)(1.6840)
Internal migration density23.7909
(174.8257)
External migration density56.2211
(185.8895)

[i] Notes: Standard error in parentheses; ***significance at 0.01; **significance at 0.05; * significance at 0.1.

Abbreviations: ABS = advanced business service; GDP = gross domestic product; NBRM = negative binomial regression model.

VariableObs.MeanSDMinMax
GDP1600.08188580.06761270.0215690.366343
GDP per capita16031,207.679,347.18417,193.0069,026.00
Density of ABS1600.00212850.00362190.000.0213732
Density of firms1600.12007640.07213140.04222090.3601457
Research and development expenditure160174.6031173.898314.001,071.9
Students160114,210.177,914.3319,000.00350,947.00
Technical students16020,444.1116,925.260.0060,740.00
Economics students16020,181.9321,487.53203.0090,811.00
Capital city1600.06250.24282150.001.00
Internal migration density1600.004,109.188–5,160.0016,268.00
External migration density160–799.43121,360.817–8,521.00832.00

[i] Abbreviations: ABS = advanced business service; GDP = gross domestic product; Max = maximum; Min = minimum; Obs = observed sample; SD = standard deviation.

DOI: https://doi.org/10.2478/ijme-2018-0007 | Journal eISSN: 2543-5361 (formerly 2299-9701) | Journal ISSN: 2299-9701
Language: English
Page range: 69 - 79
Submitted on: Sep 25, 2017
Accepted on: Feb 7, 2018
Published on: Mar 29, 2018
Published by: SGH Warsaw School of Economics
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
JEL:

© 2018 Artur Klimek, published by SGH Warsaw School of Economics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.