essnet on linking of microdata on ict usage project (esslimit)
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ESSnet on Linking of Microdata on ICT Usage Project (ESSLimit). Patricia Kotnik University of Ljubljana. Distributed Microdata Research (DMD). - PowerPoint PPT PresentationTRANSCRIPT
ESSnet on Linking of Microdata on ICT Usage Project (ESSLimit)
Patricia KotnikUniversity of Ljubljana
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Distributed Microdata Research (DMD)
CIS
Source: Eurostat ICT Impacts Project *Voluntary.
*
DMD Method used for retrieval of data and analyses when microdata cannot be accessed or stacked across countries, Bartelsman et al (2004), Eurostat (2008)
Policy Theme Research MethodWorkstream d DMD Micro Micro+ Exploratory
Measuring ImpactEmployment XProductivity X XAggregate ICT intensive firms XAdoption/innovation/productivity X X XICT and competition X X XICT and human capital X XICT support and ICT education X X XMacro ResilienceICT and churn XICT and productivity variance XFactor Adjustment costs and ICT X XFirm dynamics model calibration XEU Digital AgendaFast Internet X XDigital Single Market X X XEncouraging R&D X X
Policy Themes and Research Methods
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
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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
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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
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Representativeness of joint firm samples
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Average ICT use, different samples (EC=100);for Slovenia, industry=MexElec, 2008
Average ICT use, different samples (EC=100);for Slovenia, industry=MServ, 2008
020406080
100120140
BROAD
BROADpct
MOB
Web
EC PSEC ECIS PSECIS
020406080
100120140
BROAD
BROADpct
MOB
Web
EC PSEC ECIS PSECIS
ICT indicators: which are relevant? (1)
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BROADpct 2009 BROADpct 2005Country 15t37 50t74 15t37 50t74 RankSE 1 2 3 2 1NO 2 4 2 3 2FI 3 1 1 1 3DK 4 3 8 9 4NL 5 5 7 4 5UK 6 6 5 6 6DE 7 9 6 8 7LU 8 7 10 10 8FR 9 11 4 11 9AT 10 10 9 7 10SI 11 8 11 5 11IT 12 13 12 12 12PL 13 12 13 13 13IE 14 15 14 14 14RO 15 14 15 15 15
Ranking of Internet-enabled employees (BROADpct), manufacturing and services
ICT indicators: which are relevant? (2)
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Evolution of ICT usage variables (total economy, averages across countries)
BROADpct ICTi Intens IndexFI 1 3 2SE 2 2 1DK 3 7 5NO 4 9 7NL 5 5 8
UK 6 6 9DE 7 1 3SI 8 4 11AT 9 8 4FR 10 10 6PL 11 11 10IT 12 13 12IE 13 12 13Source: 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.
Ranking of ICT Intensity Variables
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Other descriptives - example
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Sum of e-sales and e-purchases over years by country(medium-sized firms, industry = Distribution)
Other descriptives - example
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% CRM (ORGIN = 0) % CRM (ORGIN = 1)Manuf. (excl Electr) 0.47 0.76 Consumer manuf. 0.23 0.72
Intermediate manuf. 0.50 0.79 Investment goods 0.57 0.72 Other production 0.51 0.74
Electrical machinery, post and comm. services
0.47 0.80
Market services 0.63 0.81 Distribution 0.62 0.82 Finance and Business 0.69 0.78
Percentage of firms with CRM by innovative business practices (yes/no), in Finland (2008)
ICT by innovation: example
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Broadband use by process innovation(2008, sample = ECIS, industry = Mserv, weight = rwt)
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
AT DK FI FR IE IT LU NL NO PL RO SE SI UK
no yes
ICT as Export EnablerProportion of Manufacturers with E-sales
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.
Per cent
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