Document

ESSnet on Linking of Microdata on ICT Usage
Project (ESSLimit)
Patricia Kotnik
University of Ljubljana
Distributed Microdata Research (DMD)
DMD Method used for retrieval of data and analyses when
microdata cannot be accessed or stacked across countries,
Bartelsman et al (2004), Eurostat (2008)
CIS
*
Source: Eurostat ICT Impacts Project
*Voluntary.
Policy Themes and Research Methods
Policy Theme
Workstream d
Measuring Impact
Employment
Productivity
Aggregate ICT intensive firms
Adoption/innovation/productivity
ICT and competition
ICT and human capital
ICT support and ICT education
Macro Resilience
ICT and churn
ICT and productivity variance
Factor Adjustment costs and ICT
Firm dynamics model calibration
EU Digital Agenda
Fast Internet
Digital Single Market
Encouraging R&D
DMD
X
X
X
X
X
Research Method
Micro Micro+ Exploratory
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X illustrates possible approaches to different themes. Red shade indicates ongoing or
finalised analysis in this or earlier phase of project.
X illustrates possible approaches to different themes. Red shade indicates ongoing or
finalised analysis in this or earlier phase of project.
Available output datasets (1)
•
•
•
•
Coverage
Firm demographics
Industry dynamics
Summary statistics for production survey (PS)
variables
• Summary statistics for E-commerce (EC) variables
• Summary statistics for innovation (IS) variables
3
Available output datasets (2)
•
•
•
•
Summary statistics for combined EC booleans
Summary statistics for combined IS booleans
Summary statistics for combined EC-IS booleans
Files with moments of distribution of variables –
in PS or merged: PS-EC, PS-IS, PS-EC-IS
• Files with moments of joint distribution of two
variables – in PS or merged: PS-EC, PS-IS, PS-EC-IS
4
Available output datasets (3)
• Regression results:
•
•
•
•
Productivity regressions, with human capital
Productivity regressions, with wage as a proxy
Productivity regressions, with innovation variables
Regressions – export equations
5
Representativeness of joint firm samples
BROAD
140
120
100
80
60
40
20
0
Web
BROADpct
BROAD
140
120
100
80
60
40
20
0
Web
MOB
MOB
EC
PSEC
BROADpct
ECIS
PSECIS
Average ICT use, different samples (EC=100);
for Slovenia, industry=MexElec, 2008
EC
PSEC
ECIS
PSECIS
Average ICT use, different samples (EC=100);
for Slovenia, industry=MServ, 2008
6
ICT indicators: which are relevant? (1)
Country
SE
NO
FI
DK
NL
UK
DE
LU
FR
AT
SI
IT
PL
IE
RO
BROADpct 2009
15t37
50t74
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
BROADpct 2005
15t37
50t74
2
3
4
2
1
1
3
8
5
7
6
5
9
6
7
10
11
4
10
9
8
11
13
12
12
13
15
14
14
15
2
3
1
9
4
6
8
10
11
7
5
12
13
14
15
Rank
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
Ranking of Internet-enabled employees (BROADpct), manufacturing and services
7
ICT indicators: which are relevant? (2)
Evolution of ICT usage variables (total economy, averages across countries)
8
Ranking of ICT Intensity Variables
FI
SE
DK
NO
NL
BROADpct
1
2
3
4
5
UK
DE
SI
AT
FR
PL
IT
IE
6
7
8
9
10
11
12
13
ICTi
3
2
7
9
5
Intens
2
1
5
7
8
6
1
4
8
10
11
13
12
9
3
11
4
6
10
12
13
Index
Source: ESSLimit dataset
Intens = intensity dummy 1 if ICTi > 0.5. Table shows proportion of firms intensive in ICT.
Slightly different pattern with ICTi and Intens than with BROADpct, DE, AT , FR and SI
doing far better and NO worse.
Other descriptives - example
Sum of e-sales and e-purchases over years by country
(medium-sized firms, industry = Distribution)
10
Other descriptives - example
Manuf. (excl Electr)
Consumer manuf.
Intermediate manuf.
Investment goods
Other production
Electrical machinery, post
and comm. services
Market services
Distribution
Finance and Business
% CRM (ORGIN = 0)
0.47
0.23
0.50
0.57
0.51
0.47
% CRM (ORGIN = 1)
0.76
0.72
0.79
0.72
0.74
0.80
0.63
0.62
0.69
0.81
0.82
0.78
Percentage of firms with CRM by innovative business practices (yes/no),
in Finland (2008)
11
ICT by innovation: example
100%
90%
80%
70%
60%
50%
40%
30%
20%
10%
0%
AT
DK
FI
FR
IE
IT
LU
no
NL
NO
PL
RO
SE
SI
UK
yes
Broadband use by process innovation
(2008, sample = ECIS, industry = Mserv, weight = rwt)
12
ICT as Export Enabler
Proportion of Manufacturers with E-sales
Per cent
Source: ESSLimit Dataset. Fair colours means exports of goods only.
Results indicate that ICT opens up international markets, but might not be equally
important for the size of sales abroad. Exporting firms more often high in ICT usage,
labour productivity, innovativeness and skills.