Structural Business Statistics Expert Meeting 10-11 May 2007 Vladimir López-Bassols Economic Analysis and Statistics Division (EAS) Directorate for Science,

Slides:



Advertisements
Similar presentations
Defining and measuring non technical innovation: Oslo Manual and lessons learnt from innovation surveys Workshop on Non-Technical Innovations Definition,
Advertisements

1 The contribution of foreign affiliates to productivity growth: evidence from OECD countries Chiara Criscuolo Economic Analysis and Statistics Division.
WP4: Building Capacities Belgrade, October 2-3, 2008 INNOVATION STATISTICS.
ORGANISATION FOR ECONOMIC CO-OPERATION AND DEVELOPMENT ORGANISATION DE COOPÉRATION ET DE DEVELOPMENT ÉCONOMIQUES OECDOCDE 1 Entrepreneurship International.
Directorate for Food, Agriculture, and Fisheries 1 ORGANISATION FOR ECONOMIC CO-OPERATION AND DEVELOPMENT ORGANISATION DE COOPÉRATION ET DE DEVELOPMENT.
OECD World Forum Statistics, Knowledge and Policy, Palermo, November
Natale Renato Fazio, Stefano Menghinello, Carmela Pascucci and Carla Sciullo Foreign trade and multinational enterprises statistics Division ISTAT ITALY.
F. Lenglart, J. Magniez, A. Vanoli December 2nd, 2010 Which way forward for national accounts ? An overview.
1 Paris 6-7 June nd workshop Measuring Education and Health volume output François LEQUILLER, OECD/STD/NAFS Measuring Education and Health volume.
ORGANISATION FOR ECONOMIC CO-OPERATION AND DEVELOPMENT ORGANISATION DE COOPÉRATION ET DE DEVELOPMENT ÉCONOMIQUES OECDOCDE 1 Agenda item 6b Revision of.
Innovation data collection: Methodological procedures & basic forms Regional Workshop on Science, Technology and Innovation (STI) Indicators.
Towards Science, Technology and Innovation2/10/2014 Sustainable Development Education, Research and Innovation Vision for Knowledge Economy Professor Maged.
Measuring innovation: Main definitions - Part II South East Asian Regional Workshop on Science, Technology and Innovation Statistics.
Innovation data collection: Advice from the Oslo Manual South East Asian Regional Workshop on Science, Technology and Innovation Statistics.
Measuring innovation CENTRAL ASIAN SUB-REGIONAL CONSULTATION MEETING ON SCIENCE, TECHNOLOGY AND INNOVATION (STI) STATISTICS AND INDICATORS Tashkent, Uzbekistan.
Measuring innovation South Asian Regional Workshop on Science, Technology and Innovation Statistics Kathmandu, Nepal 6-9 December 2010.
1 The African Science, Technology and Innovation Indicators (ASTII) Initiative – An Update By Philippe Kuhutama Mawoko (PhD) NEPAD OST
27-29 May Global Event on Measuring the Information Society, Geneva EUROSTAT ICT usage surveys Albrecht Wirthmann – Information society statistics.
Measuring the Dynamics of Organisations and Work in Private and Public sectors Nathalie Greenan Centre d’Etudes de l’Emploi NESTI meeting, OECD, 17 June.
Assessing and Increasing the Impact of Research at the National Institute of Standards and Technology Susan Makar, Stacy Bruss, and Amanda Malanowski NIST.
TRADE MICRODATA: The OECD-Eurostat Trade by Enterprise Characteristics (TEC) Database Working Party on International Trade in Goods and Trade in Services.
YMIR is a Support Action funded by the European Union under the 7th Framework Programme YMIR IMPROVE.
Pespectives for Engineering and Technology in Portugal” Lisbon, 22 November 1999 Giorgio Sirilli Institute for Studies on Scientific Research and Documentation.
MEASURING INNOVATION: A NEW PERSPECTIVE
Introduction to the Oslo Manual: main definitions (Part II) Introduction to the Oslo Manual: main definitions (Part II) ECO - UIS Regional.
27 June 2007 QMSS CONFERENCE PRAGUE 1 European statistical microdata bases: What form of access for social science researchers? Michel GLAUDE Director.
1 Improving the current innovation measurement approach to address inclusive development Seminar on impact of innovation on inclusive development Godfrey.
Innovation Measurement
Msc Engineering Policy and Management of Technology Innovation and Technology Transfer Lecture 7 - Innovation Measurement Giorgio Sirilli  “Old and new.
The measurement of Innovation An historical perspective The “Frascati Manual” and the “Oslo Manual” S&T indicators Innovation indicators Some evidence.
Martinuzzi, Steurer: Analysis of national policies on CSR CSR HLG Meeting on May 30, 2006 Analysis of national policies on CSR, in support of a structured.
1 OECD’s work on setting FDI standards and definitions By: Ayse Bertrand Investment Division, OECD
Census Census of Population, Housing,Buildings,Establishments and Agriculture Huda Ebrahim Al Shrooqi Central Informatics Organization.
Universities and Firms: A Comparative Analysis of the Interactions Between Market Process, Organizational Strategies and Governance Seminar, September.
The measurement of innovation Advanced Workshop “Science, Technology and Society” Lisbon, 24 November 1999 The measurement of innovation Giorgio Sirilli.
Diogo Mendonça João Letras João Sousa Community Innovation Survey II Portugal ITT – March 2001 Commentary on:
Characteristics of firms engaged in collaborations Charlene Lonmo Science, Innovation and Electronic Information Division Statistics Canada Presentation.
Measuring Inbound Diffusion from Publicly Funded Research Organizations to Innovative Firms: A Statistical Perspective Frances Anderson Science, Innovation.
INFLUENCE OF DIFFERENT INFORMATION SOURCES TO INNOVATION PERFORMANCE: EVIDENCE FROM FRANCE, NETHERLANDS AND CROATIA Coordination : Roxane Silberman CNRS/Réseau.
>>. ESSnet Measuring Global Value Chains 1.Globalisation indicators 2.Methodological development and support for International Organisation and Sourcing.
ESSnet Workshop Cologne 2011 ESSnet on measuring global value chains.
Analysing the impact of globalisation on entrepreneurship and SMEs Mariarosa Lunati Paris, November st Meeting of the Wiesbaden Group on.
Assessing the impact of innovation policies: a comparison between the Netherlands and Italy Elena Cefis and Rinaldo Evangelista (University of Bergamo,
UK INNOVATION SURVEY 2005 CIS4 – Introduction and Guide A brief introduction to the survey Some description of the data and analytical results, special.
WYE CITY GROUP on Statistics on Rural Development and Agricultural Household Income Naman Keita FAO, Statistics Division Way forward for the Wye City Group:
Innovation surveys: design, implementation, lessons learnt Micheline Goedhuys.
USE OF E- COMMERCE DATA International comparisons and a micro-perspective Michael Polder, OECD-STI/EAS Business Statistics User Event: How E-commerce is.
Experience and response in developing countries: the twinning project with the Tunisian National Statistical Institute Monica Consalvi ISTAT, Division.
LEONARDO TRANSFER OF INNOVATION PROJECT “MEDIA TECH: The future of media industry using innovative technologies ” No. LLP-LdV-ToI-11-CY Evaluation.
Developing the prototype Longitudinal Business Database: New Zealand’s Experience Julia Gretton IAOS Conference Shanghai, China, October 2008
1 Statistical business registers as a prerequisite for integrated economic statistics. By Olav Ljones Deputy Director General Statistics Norway
STD/PASS/TAGS – Trade and Globalisation Statistics OECD AND GLOBALISATION: ORGANISATIONAL ARRANGEMENTS AND HORIZONTAL CO-OPERATION ACROSS DIRECTORATES.
Danish Centre for Studies in Research and Research Analysis Knowledge Economy – Challenges for Measurement Luxembourg, December 8-9, 2005 Innovation measurement:
1 Introduction Tom Schuller Head, Centre for Educational Research and Innovation, OECD INDIRE/CERI expert meeting on New Millennium Learners Florence,
Compilation of External Trade Statistics by Enterprise Characteristics: Progress Report Karo Nuortila European Commission/DG Eurostat/ Unit G3 International.
Non technological Innovation?? current understanding of innovation is mainly linked to technical product and process innovation many studies show that.
Co-funded by the European Union Ref. number: LLP FI-ERASMUS-ENW WP2: Identification of Industrial Needs for Open innovation Education in.
Introduction to EU regulation for Information Society statistics Armenia Twinning 2011 Component F – Information Society, 2 – 6 May. Danmarks Statistik.
Co-funded by the European Union Ref. number: LLP FI-ERASMUS-ENW OI-Net The European Academic Network for Open Innovation ,
M O N T E N E G R O Negotiating Team for Accession of Montenegro to the European Union Working Group for Chapter 18 – Statistics Bilateral screening: Chapter.
Globalisation Statistics: General Introduction Michael E. Nielsen & Jon Mortensen EU Twinning Project: Globalisation Statistics State Statistics Service.
Innovation Project Air Filtration Systems. Table of Contents  Project Description  Project Timeline  The Way Ahead 2.
Innovation.bg 2007 The Bulgarian Innovation System in the EU
7th OECD International Trade Statistics Expert Meeting (ITS)
4.6 Any other business, CIS Working Group Meeting on Statistics on Science, Technology and Innovation Luxembourg, November 2012.
Guidelines on the use of SBR for business demography and entrepreneurship statistics Tammy Hoogsteen (Statistics Canada) and Norbert Rainer (co-chair.
Information Society Statistics
Workshop 8 Access to Individual Data for Research Purposes
Point 6. Eurostat plans for Time Use Survey data processing and dissemination Working Group on Time Use Surveys 10 April 2013.
Presentation transcript:

Structural Business Statistics Expert Meeting May 2007 Vladimir López-Bassols Economic Analysis and Statistics Division (EAS) Directorate for Science, Technology and Industry (DSTI) Using Micro Data for Economic Analysis: Innovation and Economic Performance

2 Using Micro Data for Economic Analysis Innovation surveys are business surveys, asking firms questions about: Innovation patterns (product, process, organisation, marketing), sources of knowledge (customers, universities, internal R&D…),collaboration and other linkages, obstacles to innovation, use of IPRs, innovation expenditures, etc. => See the OSLO MANUAL (2005)

3 Using Micro Data for Economic Analysis Innovation surveys - Background First examples in 1980s-90s (manufacturing) 1 st edition of Oslo Manual in nd edition in 1997, 3 rd in Surveys have been implemented in most OECD countries for more than 10 years (latest round in Europe: CIS-4) Innovation surveys are a unique source of statistical information on innovation

4 Using Micro Data for Economic Analysis Innovation surveys and other measurement instruments R&D surveys, data on HRST, patents, high-tech trade Innovation surveys focus on subject approach, business enterprise sector, go beyond R&D (services)

5 Using Micro Data for Economic Analysis The project Objective: Conduct statistical analysis of innovation at the firm level (microdata) at an international scale => comparability, statistical robustness Raison dêtre: Access to microdata is restricted (confidentiality rules) => no international comparisons are possible in the current framework. Modus operandi: National teams from 17 OECD and 2 non-member countries are working within a common framework so as to obtain comparable results, although without pooling the data. Follow 2- tier approach depending on data availability (e.g. links with other datasets)

6 Using Micro Data for Economic Analysis Contents of the project Studies will make use of innovation surveys microdata and address the following 4 topics: 1.Innovation, productivity and employment What benefits do firms (and society) obtain from innovation? Which economic conditions favour/hamper innovation?

7 Using Micro Data for Economic Analysis 2. Globalisation: Patterns of international co-operation and technology transfers at the firm level, their impact on innovation 3.Non technological innovation (organisation, marketing): Its determinants, its articulation with technological innovation 4.IPR (patents, etc.): Their incentive effect

8 Using Micro Data for Economic Analysis Implementation of the project Project launched in 2006: joint project of NESTI (statistical WP of CSTP) and WPIA (statistical WP of CIIE, ex-SWIC) Meetings: Paris Nov. 2006; Vienna March 2007; Paris June 2007 Final conference to be held in November 2007 Outputs: national reports, conference proceedings, technical papers References: DSTI/EAS/STP/NESTI(2006)10 DSTI/EAS/IND/SWP(2007)5

9 Using Micro Data for Economic Analysis Ongoing/future work Specifying econometric models for the 4 topics (reduced / extended) and preparing STATA do files Harmonising variable names and data adjustments Sampling frames; units of analysis Sector covered Mandatory/voluntary Questions asked Phrasing and ordering of questions Presence of filter questions Developing indicators (simple and composite) Data linkages (production, financial, patent, trade data)