WP 9 Workshop – USI Presentation

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Transcript WP 9 Workshop – USI Presentation

CORe
The Impact of the Geographical
Dimension on ETER database: A First
Exploratory Analysis
Valerio Veglio; Università della Svizzera Italiana
Benedetto Lepori; Università della Svizzera Italiana
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Aim
Preliminary descriptive analysis on the geographical
structure of HEIs activities and the association with
the FUAs characteristics.
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European Tertiary Education Register (ETER)
ETER register provides a set of information including
demographic information, geographical position (e.g.:
latitude and longitude), number of students and degrees,
number of staff, expenditures and revenues.
ETER database (2011-2012): 2.293 HEIs in 31 European
Countries (all EU-28 countries expect Slovenia and Romania,
plus Liechtenstein, Norway, Former Yugoslav Republic of
Macedonia and Switzerland).
Lack of information on Academic Staff (FTE) for UK, France,
Austria, Estonia, Greece, Latvia and Republic of Macedonia.
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Match Definition
 Match with the list of the municipalities
(source:[email protected]).
 Match with ETER database in order to aggregate each FUAs with
HEIs.
Country Code ETER ID Institution Name
Postcode Name of the city Functional Area Code FU Core/peripheral
AT
AT0002 Uni vers i tät Gra z
8010 Gra z
AT002
AT
AT0006 Techni s che Uni vers i tät Gra z
8010 Gra z
AT002
AT
AT0015 Medi zi ni s che Uni vers i tät Gra z
8010 Gra z
AT002
AT
AT0021 Uni vers i tät für Mus i k und da rs tel l ende Kuns t Gra z
8010 Gra z
AT002
AT
AT0041 Pä da gogi s che Hochs chul e Stei erma rk
8010 Gra z
AT002
AT
AT0042 Ki rchl i che Pä da gogi s che Hochs chul e der Stiftung der Di özes e Gra z-Secka u
8010 Gra z
AT002
AT
AT0052 CAMPUS 02 Fa chhochs chul e der Wi rts cha ft GmbH
8010 Gra z
AT002
AT
AT0068 FH JOANNEUM Ges el l s cha ft mbH
8020 Gra z
AT002
AT
AT0025 Pri va te Uni vers i tät für Ges undhei ts wi s s ens cha ften, Medi zi ni s che Informa tik und Techni k (UMIT)
6060 Ha l l i n Ti rol
AT005
AT
AT0003 Uni vers i tät Inns bruck
6020 Inns bruck
AT005
AT
AT0016 Medi zi ni s che Uni vers i tät Inns bruck
6020 Inns bruck
AT005
AT
AT0043 Pä da gogi s che Hochs chul e Ti rol
6010 Inns bruck
AT005
AT
AT0054 MCI - Ma na gement Center Inns bruck Interna tiona l e Hochs chul e GmbH
6020 Inns bruck
AT005
AT
AT0060 FHG – Zentrum für Ges undhei ts berufe Ti rol GmbH
6020 Inns bruck
AT005
AT
AT0044 Ki rchl i che Pä da gogi s che Hochs chul e Edi th Stei n
6422 Stams
AT005
AT
AT0012 Uni vers i tät Kl a genfurt
9020 Kl a genfurt
AT006
AT
AT0036 Pä da gogi s che Hochs chul e Kä rnten
9020 Kl a genfurt
AT006
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Research Methodology
Data Sources
 ETER Database
 Organization for Economic Co-Operation and Development
(OECD) Data
Sample
 110 Metropolitan FUAs for which OECD provides data
Research Methods

Descriptive Analysis

Gini Index and/or Lorenz Curve

Kernell Density Function
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ETER Variables (1/2)
Variable
Measure
Bachelor Students
Number of Students Enrolled at the Bachelor
Level (ISCED 6)
Master Students
Number of Students Enrolled at the Master Level
(ISCED 7)
Undergraduate Students
Total Number of Students Enrolled at the
Diploma, Bachelor and Master Level (ISCED 5-7)
Number of PhD Students
Number of PhD Students Enrolled (ISCED 8)
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ETER Variables (2/2)
Variable
Measure
Number of Pubblications
Total Number of Publications in the Scimago
Institutional Ranking
EU-FP participations
Number of Participations to EU-FPs from the
EUPRO database
Total Academic Staff
Full Time Equivalent (FTE)
Highest Degree Delivered
Categorical Variable: Diploma (0) – Bachelor (1) –
Master (2) – PhD (3)
Institution Category Standardized
Categorical Variables: Other Institutions (0) –
University (1) – University of Applied Science (2)
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Functional Area Variables
Variable
Measure
FU_Code
Code of the functional urban area
FU_Core
Code, which shows that the HEI belong to the core
of the municipalities. It is equal to 1 if the HEI refers
to the core, 0 otherwise
FU_Name
Name of the main city related to the functional urban
area
FU_Restricted
Dummy variable. It identifies all geographical area
with more than 500,000 inhabitants whereby the
OECD provides statistics.
Number of HEIs
Number of HEIs for each FUAs
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OECD Variables
Variable
Measure
Population
Total amount of the population for each functional
area with more than 500,000 inhabitants.
Gross Domestic Product (GDP)
Total amount of the Gross Domestic Product for
each functional area with more than 500,000
inhabitants.
Patents Applications
Total number of patents for each functional area
with more than 500,000 inhabitants.
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Descriptive Findings
Metropolitan FUAs
ETER
Percentage Composition
Total of Undergraduate Students
Total of PhD Students
8.691.758
312.804
16.601.178
501.310
52,36%
62,40%
Bivariate Correlations
Total Population 2012
GDP_capita
EU_FP_capita
Patents Application
Total Academic Staff by TP
Total Undergraduate Students by TP
Total PhD Students by TP
Number of Publications by TP
Total Bachelor Students by TP
Total Master Students by TP
Total Population 2012
1
.352**
-,097
-,057
-.270*
-.210*
-,133
-,142
-.205*
-,143
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
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Scatter Plot (1/2)
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Scatter Plot (2/2)
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Gini Index Values
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Variables
Gini Index Value
Patent Applications
0,60
GDP_2010
0,51
Total Population 2012
0,44
Total Academic Staff FTE
0,38
Total Undergraduate Students
0,42
Total PhD Students
0,47
EU-FPs Participations
0,53
Number of Publications
0,45
Total Bachelor Students
0,42
Total Master Students
0,49
Kernel Estimation Density
0
0
500
1000
EUFP_Par
Kernel density estimate
1500
0
kernel = epanechnikov, bandwidth = 43.0540
2.000e-07 4.000e-07
Density 6.000e-07 8.000e-07
.002
.001
Density
.003
.004
Kernel density estimate
0
5000000
10000000
Totalpop
kernel = epanechnikov, bandwidth = 2.9e+05
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15000000
Discussion and Future Directions
1) Identification of Geographical Dimensions to be
integrate in ETER database.
1) HEIs Geographic Analysis by Country (e.g.: Do
most reputed HEIs are mainly concentrated in the
core of the FUAs? Which most reputed HEIs belong
to the periphery of the FUAs?).
3) Spatial Autoregressive Models.
…
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CORe
Thank you for your
attention!
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