1. Name of the database. Datasheet for the DISKO firm level survey (module 1)

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1 1. Name of the database Datasheet for the DISKO firm level survey (module 1) D XB27.SAS.FSKDATA 2. Owner of data in database Statistics Denmark which requires authorisation for use of the database. 3. DRUID contact Dorte Køster, secretary Department for Business Studies, Aalborg University Fibigerstræde 4, DK-9220 Aalborg Øst Tel.: Fax: Description of the database Disco1 is a SAS database which combines survey data and register data. It is designed to enlighten organisational and technical change in private business firms. Data collection took place during April-June 1996 by postal questionnaire followed up by telephone interviews with those who didn t respond by post. The respondents are primarily high-level executives. The survey data cover the following issues: Changes State of things 1996 Major organisational change Training and education Demand for qualifications Work organisation principles Content of work tasks Intensity of competition The effort of developing qualifications Technical and market innovation Relations with important external actors Demand for qualifications Work organisation principles The effort of developing qualifications Register data cover number of employees, wage costs and production value supplemented by various measures of profitability, investments and capital turnover. 5. Population The Danish private business sector according to size limits, i.e. manufacturing firms with at least 20 employees and non-manufacturing firms with at least 10 employees. Primary industries (agriculture etc.) are excluded. The representativity is good. Sampling data No. of firms Comments Population 10,400 Manufacturing 20+ employees Non-manufacturing 10+ employees Sample 3, % of the population Included in database 1, % of the sample (response rate) Sectors No. of employees Response No. of firms Total % Manufacturing Construction Trade Transport, hotels & restaurants, leasing Business service, insurance, finance Total Number of cases in database per time unit Total number of cases in database Number of variables in database Spatial coverage Denmark, with the possibility for disaggregating into counties. 10. Temporal coverage The survey data covers one unit of time, defined as for change variables and 1996 for state of things variables. The register data covers different time periods, all within the period of , cf. point Sectoral coverage The private business sector, with the possibility for disaggregating into 117 industries or 7 industrial clusters (the so called resource areas). 12. Size coverage Manufacturing 20+ employees, non-manufacturing 10+ employees Access via the internet? Not available. 1 2

2 Template for datasheet describing a DRUID database 1. Name of database DISKO module 2 database the collaborating firm 2. Owner of data in database (i.e.: IKE; Statistics Denmark) IKE-group 3. DRUID contact (name, institution, postal address, phone and fax no., ) Anker Lund Vinding Department of Business Studies Aalborg University Fibigerstraede 4 DK-9220 Aalborg O Phone: Fax: Brief verbal description of database (app. 100 words) 5. Population (i.e.: Firms; Employed; Households; Traffic; Trade volume; Innovative relationships) Population, contacted and interviewed companies distributed according to company size (percent and number of companies) Population Contacted Completed first part of interview Relevant for second part of interview Would participate in the second part Completed second part of interview (collaboration took of interview Number of employees place) % 39 % 38 % 29 % 30 % 31 % % 35 % 34 % 37 % 36 % 36 % % 13 % 13 % 13 % 13 % 13 % % 7 % 7 % 10 % 10 % 10 % % 4 % 5 % 7 % 7 % 6 % % 2 % 2 % 3 % 3 % 2 % % 1 % 1 % 1 % 1 % 2 % Total in % 100 % 100 % 100 % 100 % 100 % 100 % Number of companies The focus of the survey is on the extent and patterns of collaboration with domestic and foreign partners in the development of products in the manufacturing industry in Denmark. The interviews are telephone interviews using CATI (computer assisted telephone interviewing) and consist of two parts for each firm. The two parts were conducted in the spring of 1997 and in the winter of 1998, respectively. The first part of the telephone survey is conducted on 1022 Danish manufacturing companies and deals with collaboration on product development for the firm as a whole. The second part is conducted on 324 companies and deals with collaboration for the most important development project in the firm.

3 Population, contacted and interviewed companies distributed according to industry grouping (percent and number of companies) Population Contacted Completed first part of interview Rele-vant for second part of interview Would participate in the second part of Completed second part of interview (Collaboration interview took Manufacturing of: place) Food, beverage and tobacco, NACE: % 10% 10% 9% 9% 9% Textiles, wearing apparel, leather, NACE: % 5% 5% 5% 5% 6% Wood and wood products, NACE: 20 5% 5% 5% 4% 3% 4% Paper prod.; printing and publish., NACE: % 11% 10% 8% 8% 8% Refined petroleum products etc., NACE: 23 0% 0% 0% 0% 0% 0% Chemicals and man-made fibres etc., NACE: 24 3% 3% 3% 4% 4% 4% Rubber and plastic products, NACE: 25 5% 5% 5% 5% 5% 5% Other non-metallic mineral products, NACE: 26 4% 4% 4% 4% 4% 3% Processing of basic metals, NACE: % 19% 19% 17% 17% 18% Machinery and equipment n.e.c., NACE: 29 15% 16% 17% 21% 22% 23% Electrical and optical equipment, NACE: % 11% 11% 11% 11% 12% Transport equipment, NACE: % 2% 1% 1% 1% 0% Furniture; manufacturing n.e.c., NACE: 36 9% 9% 9% 10% 10% 8% Total in % 100% 100% 100% 100% 100% 100% Number of companies Number of cases in database per time unit 1022 for the first part and 324 for the second part 7. Total number of cases in database 1022 for the first part and 324 for the second part 8. Number of variables in database (attach list of variables as appendix) Approx variables 9. Spatial coverage (i.e.: Denmark; North Jutland; OECD member states) Denmark, with the possibility for disaggregating into regions. As a part of the OECD/NIS project, a number of countries have agreed upon carrying out a similar survey with harmonized questions. France, Austria, Spain, Italy, Sweden, Finland and Norway have agreed upon incorporating parts of this questionnaire in their own surveys. 10. Temporal coverage (i.e.: annual data ; December 1993; All events in June 1998) The database covers one unit of time, defined as Sectoral coverage (i.e.: manufacture only; All economic activities but services; Tangibles only; Commercially viable innovations only) Manufacturing only, with the possibility for disaggregating into NACE 6 digits. st 12. Size coverage (i.e.: Firms with more than 10 employed per November 1 ; Trade flows of more than 2 million $US annually; Households with more than one member) Manufacturing 10+ employees 13. Accessible on the internet? (no/yes (state URL) No. 14. Update planned? (No/Yes (state when data are planned to be collected and when data are expected to be available))???? 15. References to publications where the database has been used Christensen J.L. & Gregersen B. (1999), Vidensinstitutioner og innovation (knowledge institutions and innovation), København, Erhvervsudviklingsrådet Madsen, P. T. (1999), Den samarbejdende virksomhed (the collaborating firm), København, Erhvervsudviklingsrådet 16. Source of further information where a more detailed description of the Methodology and Data Collection ( ) in the DISKO survey on product development collaboration can be found. 17. List of attachments

4 implementation methods in the member states. 1 Implementation of CIS in Denmark 1. Name of database CIS - The Community Innovation Survey 2. Owner of data in database Statistics Denmark, Ministry of Industry (Erhvervsfremme Styrelsen), EUROSTAT 3. DRUID contact Jesper L. Christensen Department of Business Studies Phone: Aalborg University Fax: Fibigerstraede Aalborg Oest Denmark Homepage: 4. Brief verbal description of database (app. 100 words) The background for the CIS project is a set of mostly independent surveys on innovation carried out in the 1980s. The experience from these surveys resulted in an OECD manual in 1992 (OECD Proposed Guidelines for collecting and interpreting data on technological innovation - the Oslo manual) which is intended to be a basis for more coherent future surveys. Eurostat and DG-XIII developed CIS in collaboration with independent experts and the OECD resulting in the final, harmonised questionnaire in june CIS, or a closely similar approach, is also implemented in some non-member states. This goes for Canada, USA, Norway, Finland, Austria, Australia, South Africa. The database contains a large variety of variables on innovation in in app EU- (+Norway) firms. The information collected in CIS is perhaps a bit biased towards product innovation, but some parts of the questionnaire include process innovation as well. In addition, it asks a set of questions on co-operation, use and exchange of information and barriers to innovation. In the annex is a list of the groups of variables in the questionnaire. The questionnaire is aimed at enterprises within manufacturing and is generally send to a stratified sample of enterprises with relatively low cut-off points. CIS is implemented for the first time in the autumn Use of the data for purposes of comparing across countries is still restricted to some of the countries due to differences in sample, questions and The survey in Denmark was implemented by Statistics Denmark and co-financed by the Government of Business Promotion. The questionnaire was sent to 1313 firms of which 674 responded. The sample was selected by stratified random sampling. All firms in the frame with more than 199 employees are in the sample. The respondent were either general manager, chief accountant or technology/r&d manager. Two reminders were sent and the total response rate was 51%. This rate differed according to size of firms. Thus, app. 63% of firms with 200 and more employees responded but only 48% in small firms. Non-response analysis was performed which showed that non-responding firms were approximately corresponding to responding firms. This non-response analysis had a response rate of 84%. Table 1: Manufacturing firms in frame, sample, responding, distributed on size groups. Employees Frame Sample Responding 20 to to to and up Total Raising factors have been calculated taking into account both the distribution of answers on size groups and industries and the non-response analysis. 5. Accessible on the internet? (no/yes (state URL) No. Access to these data is restricted because it is firm level data. 6. Update planned? A second round of CIS was carried out in Results from this survey is expected to be available before the end of See the evaluation reports by Archibugi et.al. (1994) for an in-depth assessment of the data quality as well as the implementation in each member state.

5 5. Variables in PACE survey 1. Name of database: PACE data 2. Owner of data in database: The PACE survey (PACE = Policies, Apporpriation and Competitiveness in Europe) was financed by the EU SPRINT programme. The coordination was undertaken at MERIT, University of Limburg, The Netherlands, and the Danish part of the survey was undertaken by IKE - Department of Business Studies, Aalborg University in cooperation with the Ministry of Research. 3. DRUID contact: Jesper L. Christensen Department of Business Studies Phone: Aalborg University Fax: Fibigerstraede Aalborg Oest Denmark Homepage: The PACE questionnaire is more wide-ranging and specific than the CIS survey. It concentrates on ordinal rankings of types of knowledge flow or support within technological knowledge, research output and methods of access to these results, appropriability, public policy. Table 2 in the annex show variables in the survey. It shows that the ordinal data are predominant. 6. Accessible on the internet? No. Also these data are restricted. As with CIS, only three persons in each country can access the data (the DRUID contact being one of them). 7. Update planned? No. 8. References to publications where the database has been used A. Arundel et al. (1995): Innovation strategies of Europe s largest industrial firms, Merit 4. Brief verbal description of database The PACE survey is the predecessor of the YALE survey which was undertaken at Colombia University USA in the beginning of the 1980's. The objective is to analyse a selected part of manufacturing firms, i.e. the largest and most R&D-intensive of these firms in Europe is the sample of the survey. The information from these firms is on activities in 1991 and Implementation of PACE in Denmark In Denmark the frame should - according to the above criteria - include only 25 firms. However, in order to get more observations the frame was extended to 58 firms (In other small EU-countries a similar strategy was followed.). One of these was excluded and of the remaining 57 firms 50 responded (88%) on the rather detailed and large questionnaire. Non-responding firms were not systematically biased in any way. An approximately XX per cent of the turnover and approximately XX per cent of the internally financed R&D in the manufacturing sector in Denmark is covered by these 50 firms. 2

6 1. Name of database: REGSYS 2. Owner of data in database: Peter Maskell (under contract with Statistics Denmark). Contract specifies that only the owner may access the database and only supply aggregated results so that no single firm can be identified directly or indirectly. 3. DRUID contact: Professor Peter Maskell, IVS, Copenhagen Business School, Nansensgade 19, DK1366 Copenhagen, DENMARK. Phone , FAX: Brief verbal description of database The database (in SPSS format) contain longitudinal data on all (100%) firms (enterprises) and plants (establishments/subsidiaries) in the manufacturing industry of Denmark through a quarter of a century, including incumbents, newcomers and closures. The backbone of standardized variables described below has been supplemented with single-year survey data on entrepreneurial characteristics (new firms only), on physical planning characteristics, on subcontracting relationships (data from 25 % of population of firms in 1996). Colour photographs (diapositives) and news paper clippings are available on a large number of individual plants. REGSYS has a very high quality: all new firms have been contacted to ensure that they were indeed new. whereas the data for 1992 are of a slightly lesser quality. The data in the update for 1996 has not yet been fully controlled 5. Population: All private and public owned enterprises and establishments 6. Number of cases in database per time unit: 6,700 7,500 establishments 7. Total number of cases in database: establishments 8. Number of variables in database: 112 standardized variables 9. Spatial coverage: Denmark 10. Temporal coverage: (1996). The database contain information of every fourth year in this period (i.e. 1972, 1976, 1980, 1984, 1988, 1992 and 1996) 11. Sectoral coverage: Manufacturing industry (= firms with a main economic activity in the production of tangibles). Producers of energy (electricity, gas, steam), buildings and constructions, and retailers with production (i.e. corner bakeries) are not included 12. Size coverage: All enterprises with ten or more employees, regardless of the number of establishments the ten employees might be split among. If an enterprise has manufacturing activities, but its main economic activity in some other sector than manufacturing, only the manufacturing parts of the enterprise is included in the database and only if the number of employees in this subset is ten or more. 13. Accessible on the internet? No. 14. Update planned? Yes. An update to 1996 is in progress. No further updates are planned 15. References to publications where the database has been used: Main reference: Maskell, Peter (1992): Nyetableringer i industrien og industristrukturens udvikling, CBS Press, Copenhagen (444 pages). 16. Source of further information See item 3 above. 17. List of variables per year in database: ID for establishment in database ID for enterprise Year for start of firm (might be inaccurate for slow growers) Year for end of operation (temporary stop of operation is shown with employment of zero) Reason for end of operation (5 categories, including migration, change of sector, bankruptcy or planned closure) New sector (when relevant) Number of employees in November with more than 20 hours a week Size group (10 classes) Total turnover (in 1992-DKK) Total sales (in 1992-DKK) Location1 (279 municipal codes) Location2 (14 counties) Location3 (6 classes, divided by size of largest town in the municipality of location) Location4 (3 classes: one-company municipality, one-branch municipality (ISIC- 2 digit), differentiated municipality) Main sector (5-digit ISIC codes , 6-digit NACE codes ) Pollution class (5 classes, according to the Ministry of the Environment) Main product group (8-digit CCCN code) Number of product groups in which the firm produces Main product (12-digit NIMEXE codes, 1988 and 1992 only) Main products percentage of enterprises total turnover Form of ownership (limited liability, etc.) Form of establishment (production, office, storehouse, etc.) Number of female employees (data for only) Number of part-time employees (20-37 hours a week, data for only) Number of white collar workers (data for only) Total wage cost as part of turnover (in 1992-DKK, data for 1988 and 1992 only) Total income from trade in goods not manufactured by the enterprise (in DKK, data for 1988 and 1992 only) Total income from repair (in 1992-DKK, data for 1988 and 1992 only) Number of newspaper clippings on file mentioning the firm

7 6. Number of observations in database per year: 1. Name of database: IDA - Integrated Database for Labour Market Research 2. Owner of database: Statistics Denmark 3. DRUID contact: Per Vejrup-Hansen Copenhagen Business School Nansensgade 19, 6. floor DK-1366 Copenhagen K Denmark Phone: Fax: Approximately 230,000 establishments and 5 million persons. 7. Number of variables: Approximately 300 (see list of main categories in appendix A. A full list of variables is available at 8. Spatial coverage: Denmark 9. Temporal coverage: Annual data starting 1980, at present to Sectoral coverage: 4. Description of database: The database contains all-inclusive, longitudinal and integrated data on establishments and employees. It provides data on 1. dynamics of establishments (birth, death and growth), 2. flows of workers (turnover, transition between labour market states), and 3. the interaction between characteristics and flows of establishments and workers. Since the database keeps track of the year of birth of establishments, and of the year in which a worker was hired, variables such as establishment age and worker tenure can be derived. The database is updated annually starting at 1980, at present covering the period Population: IDA contain the entire population of establishments (plants) and firms, and the total population / labour force in Denmark. All economic activities inclusive of private and public services 11. Size coverage: Establishments with one or more employees, i.e. exclusive of units where only the owner is employed 12. Accessible on the internet: No. (But a full list of variables is available at 13. Update planned: 2

8 7. Total number of cases in database 1. Name of database EDU1: Formal education of the Danish workforce 2. Owner of data in database The IKE-group, Aalborg University 3. DRUID contact Ina Drejer Department of Business Studies Aalborg University Fibigerstraede 4 DK-9220 Aalborg O Phone: Fax: Brief verbal description of database The database consists of matrices distributing the Danish workforce according to industry of employment and education. The data on education are compiled by combining the statistical education register, the civil register (CPR) and the population and housing count of The statistical education register covers all individuals. Once a year all schools, universities and other centres of education report new students, graduates, and students who are transferred to other institutions etc. The information on education is linked with the individuals business of employment through RAS (the register of employment statistics). RAS draws on a number of administrative and statistical registers (tax, unemployment, working place etc.). 5. Population All employed persons in the workforce above the age of Number of cases in database per time unit N.A. N.A. 8. Number of variables in database N.A. 9. Spatial coverage Denmark 10. Temporal coverage Annual data Sectoral coverage All economic activities 12. Size coverage Employees above the age of Accessible on the Internet? No. 14. Update planned? No. 15. References to publications where the database has been used Drejer, I. (1996), The Knowledge Structure of the Danish Economy - Does Formal Education Matter in Production?, paper prepared for the DRUID winter conference, Snekkersten, 8-10 January

9 6. Total number of cases in database: 1. Name of database: Patents: The Danish Patent Database 2. Owner of data in database: Mette Præst (see below) 3. DRUID contact: Mette Præst Department of Business Studies Fibigerstræde 4 DK-9220 Aalborg Øst Denmark Phone (switch): Phone (direct): Fax: Number of firms approximately Number of variables in database: 5 (see attached list of variables) 9. Spatial coverage: Denmark 10. Temporal coverage: Applications from 1982 to Sectoral coverage: Coverage only at the technological level of aggreagtion by the International Patent Classification (IPC). Sectoral coverage only possible through concordance tables. 4. Brief verbal description of database: The database is a collection of all Danish Patent Applications ranging from 1982 to In the database these applications are sub-divided into 14 geographical regions in Denmark (amter) enabling e.g. analyses of the regional development of the knowledge base. The database is available in Microsoft Access 97-format with an easy-to-use user-interface. Search options include patent applications, firm names, and year of application. 5. Population: Patent applications: application year and IPC classification both at any level of aggregation, i.e. national and regional. Firm names: only available at the national level Patent applications at Danish Patent Office (Patentdirektoratet) 12. Size coverage: n/a 13. Accessible on the Internet? No 14. Update planned? No present plans 15. References to publications where the database has been used: n/a

10 N.A. 8. Number of variables in database 1. Name of database Danish Input-Output Data 2. Owner of data in database Statistics Denmark 3. DRUID contact Ina Drejer Department of Business Studies Aalborg University Fibigerstraede 4 DK-9220 Aalborg O Phone: Fax: Brief verbal description of database The database consists of input-output matrices and capital matrices for Denmark for the period at a 117 sector aggregation, and input-output matrices for the period at a 130 sector aggregation. The 130 sector aggregation follows SNA93, and this is the level of aggregation that will be used for publishing all new input-output matrices. The database consists of input-output matrices for domestic intermediate flows, intermediate import flows, final consumption, consumer goods, primary inputs, and import taxes. Matrices of employment are also included in the database. 5. Population Industries as specified in national accounts 6. Number of cases in database per time unit 117 industries for the period and 130 industries for the period starting Total number of cases in database See attached lists of matrices. 9. Spatial coverage Denmark 10. Temporal coverage Annual data Sectoral coverage All economic activities 12. Size coverage N.A. 13. Accessible on the Internet? No 14. Update planned? The database will be updated as soon as new tables are published from Statistics Denmark. Data for 1993 and 1994 are expected in the fall of Data for 1995 and 1996 will not be ready until Normally data will be available 2-3 years after the end of the calendar year. 15. References to publications where the database has been used Drejer, I. (1998), Technological Interdependence in the Danish Economy - A Comparison of Methods for Identifying Knowledge Flows, paper presented at the Twelfth International Conference on Input-Output Techniques, New York, May Møller, F. & M. Wier (1998), Indirect and Avoided Environmental Consequences in Project Evaluation, National Environmental Research Institute, Department of Policy 1 2

11 1. Name of database IKE Trade database 2. Owner of data in database IKE/Bent Dalum 3. DRUID contact Bent Dalum, Department of Business Studies, Aalborg University, Fibigerstraede 4, 9220 Aalborg Oest, Denmark, phone , fax , 4. Brief verbal description of database The trade data are based on the taped version of OECD s Trade by Commodities, Series C, which has been published annually since The data consist of trade by visible goods in current US $. Trade in services ( invisibles ) are not included. The OECD tapes consist of exports from and imports to 23 OECD countries. The data are delivered at their most detailed level according to the Standard International Trade Classification (SITC). The IKE trade database at the Department of Business Studies, Aalborg University was initiated in the early 1980s for studies of long term structural features of OECD trade. Construction of comparable time series data has been the major analytical aim from the beginning. Given the long term focus mentioned, all data have been converted from the two more recent versions of the SITC to SITC, Revision 1. In the OECD reported the data in Revision 1. But in the data have published according to SITC, Revision 2. The latter has been converted to the previous classification in order to construct comparable time series. From 1988 the data are published according to SITC, Revision 3. The first step in handling the data consists of aggregating the raw tapes to country matrices with 625 rows (the number of commodity groups at the 4-digit SITC, Revision 1 level) and 33 columns (23 OECD countries, the World, OECD, the Nordic countries and 7 groups of non- OECD countries, including e.g. the former Soviet Union, the OPEC countries, and a group of Newly Industrialised Countries). Then follows several steps of checking for confidentiality clauses in the tapes, whether at the commodity or the country level. The tapes, thus, contain a large amount of so-called alphanumeric codes (instead of the usual numeric SITC codes) for which the trade information is omitted at the given level of disaggregation. This information is, however, included in the SITC codes at a more aggregate level. The data have then been aggregated to 60 commodity groups and then further to 5 main sectors as shown in Appendix Table A4.1. The data for Japan and Finland for 1961 are not available in the OECD tapes and have been reconstructed from national statistical sources - with some approximation for Finland, but rather precise for Japan. 5. Population (i.e.: Firms; Employed; Households; Traffic; Trade volume; Innovative relationships) Trade in values 6. Number of cases in database per time unit 60 commodity groups for the so-called IKE Medium database; 182 commodity groups at the three digit SITC (Revision 1) level; 62 commodity groups at the four digit SITC level; 625 commodity groups at the two digit SITC level. 7. Total number of cases in database Depends on the level of disaggregation 8. Number of variables in database Two (exports and imports) 9. Spatial coverage 23 OECD countries 10. Temporal coverage The database contains a selection of years between 1961 and As far as possible, the selection criterion has been peak years in world trade/ average OECD business cycles. The following years are available: 1961, 1965, 1969, 1973, 1977, 1979, 1980, 1983, 1984, 1985, 1986, 1987, 1988, 1992 and Sectoral coverage Exports and imports of tangible products. 12. Size coverage Bilateral trade over 1000 US$. 13. Accessible on the internet? No. 14. Update planned? No. 15. References to publications where the database has been used Dalum, B Local and Global Linkages: The Radiocommunications cluster in Northern Denmark, Journal of Industry Studies, vol. 2, Dalum, B., K. Laursen and G. Villumsen Structural Change in OECD Export Specialisation Patterns: De-specialisation and 'Stickiness', International Review of Applied Economics, vol. 12,

12 Dalum, B., K. Laursen and B. Verspagen forthcoming, Does Specialization Matter for Growth?, Industrial and Corporate Change, vol. 8 Fagerberg, J International Competitiveness, Economic Journal, vol. 98, Fagerberg, J User-producer interaction, learning and comparative advantage, Cambridge Journal of Economics, vol. 19, Fagerberg, J. and G. Sollie The Method of Constant-Market-Shares Analysis Reconsidered, Applied Economics, vol. 19, Laursen, K Horizontal Diversification in Danish National System of Innovation: the Case of Pharmaceuticals, Research Policy, vol. 25, Laursen, K. 1999, forthcoming. The Impact of Technological Opportunity on the Dynamics of Trade Performance, Structural Change and Economic Dynamics, vol Source of further information

13 Analysis, Denmark. Paper presented at the Twelfth International Conference on Input- Output Techniques, New York, May The paper can be downloaded from 16. Source of further information Statistics Denmark (1993), Input-output tabeller og analyser Statistics Denmark (1997), Nyt nationalregnskab Jensen, E. (1996) Brug af Input-Output tabeller på busi2 i Fib. 4, AUC nye brugere kan starte her, a short user guide (in Danish) to be downloaded from Thage, B. (1986), Commodity flow system and construction of input-output tables in Denmark, Statistics Denmark, Working paper no List of attachments Documentation Input-output tables , SNA93 Documentation Input-output tables , ISIC1968 Documentation Input-output tables SNA93 July 1998 Ina Drejer 3 4

14 After the United Nations in 1993 agreed upon SNA93 (System of National Accounts 1993) a major revision of the Danish system of classification was initiated. The SNA93 is based on NACE Rev. 1. From 1993 an onwards the Danish system of national accounts applies the new classifications, but also the national accounts for the years 1988 to 1992 are reclassified according to the SNA93. 1 The tables described in the present paper are the result of the reclassification of the Danish input-output tables covering this period. All matrices are available in both current and fixed prices. The labels of matrices in fixed prices all start with an f, i.e. the matrix for final demand has the label e in current prices and fe in fixed prices is the base year. At Department of Business Studies, Aalborg University, the matrices are placed at \\busi1\database\dkio_newag in SAS-IML format. The data set contains of one file for each matrix-type, and each file contains 5 (current prices) or 4 (fixed prices) matrices. In the following pages an overview of the new matrices is given, including references to the old matrices (ISIC 1968-matrices), as well as a list of the new classification categories. A programme for reading the data from SAS-IML is also included. 1 The matrices for the years classified according to ISIC 1968 are documented in a separate paper. It should be noted that these matrices are organised and named in a significantly different way than the new SNA93 matrices. 5 Overview of matrices (new aggregation, as from 1988) Employment matrices: File name Matrix name Content Dimension BESK Besk88-besk92 Employment matrices, Self-employed, wage earners distributed to 130 industries 2x130 Input-output tables Current prices: File name Matrix name Content Dimension Reference to old tables DZB Dzb88-dzb92 Industry x industry, DK current prices 130x130 ~IO1 DZC dzc88-dzc92 industry x consumer products (CP) current prices 130x73 ~IO2 DZE dze88-dze92 industry x final demand current prices 130x25 ~IO3 DMB Dmb88-dmb92 import distributed by industries current prices 130x130 ~IO4 DMC Dmc88-dmc92 import distributed by consumer products current prices 130x73 ~IO5 DME Dme88-dme92 import distributed by final demand current prices 130x25 ~IO6 IVI ivi88-ivi92 Input of imports not distributed by industry current prices 5x130 ~IO7 IVC ivc88-ivc92 Private consumption of imports not distributed by industry current prices 5x73 ~IO8 IVE Ive88-ive92 Main categories of final demand of imports not distributed by current prices 5x25 ~IO9 industry YI yi88-yi92 Input of primary factors current prices 5x130 ~IO10 YC yc88-yc92 Private consumption of primary factors current prices 5x73 ~IO11 YE ye88-ye92 Main categories of final demand of primary factors current prices 5x25 ~IO12 G g88-g92 Production, total (1000 Kr.) current prices 1x130 ~IO13 C c88-c92 Consumer products, total current prices 1x73 ~IO14 E e88-e92 Final demand, total current prices 1x25 ~IO15 DCB Dcb88-dcb92 Import tax, industry current prices 130x130 DCC Dcc88-dcc92 Import tax, consumer products current prices 130x73 DCE Dce88-dce92 Import tax, final demand current prices 130x25 6

15 Fixed prices: File name Matrix name Content Dimension Reference to old tables FDZB Fdzb88, fdzb89, fdzb91, fdzb92 Industry x industry, DK 1990-prices 130x130 ~IO1 FDZC Fdzc88, fdzc89, fdzc91, fdzc92 Industry x consumer products (CP) 1990-prices 130x73 ~IO2 FDZE Fdze88, fdze89, fdze91, fdze92 Industry x final demand 1990-prices 130x25 ~IO3 FDMB Fdmb88, fdmb89, fdmb91, fdmb92 import distributed by industries 1990-prices 130x130 ~IO4 FDMC Fdmc88, fdmc89, fdmc91, fdmc92 import distributed by consumer products 1990-prices 130x73 ~IO5 FDME Fdme88, fdme89, fdme91, fdme92 import distributed by final demand 1990-prices 130x25 ~IO6 FIVI fivi88, fivi89, fivi91, fivi92 Input of imports not distributed by industry 1990-prices 5x130 ~IO7 FIVC fivc88, fivc89, fivc91, fivc92 Private consumption of imports not distributed by 1990-prices 5x73 ~IO8 industry FIVE five88, five89, five 91, five92 Main categories of final demand of imports not 1990-prices 5x25 ~IO9 distributed by industry FYI fyi88, fyi89, fyi91, fyi92 Input of primary factors 1990-prices 5x130 ~IO10 FYC fyc88, fyc89, fyc91, fyc92 Private consumption of primary factors 1990-prices 5x73 ~IO11 FYE fye88, fye89, fye91, fye92 Main categories of final demand of primary factors 1990-prices 5x25 ~IO12 FG fg88, fg89, fg91, fg92 Production, total (1000 Kr.) 1990-prices 1x130 ~IO13 FC Fc88,fc89,fc91,fc92 Consumer products, total 1990-prices 1x73 ~IO14 FE fe88, fe89, fe91, fe92 Final demand, total 1990-prices 1x25 ~IO15 FDCB fdcb88, fdcb89, fbcb91, fdcb92 Import tax, industry 1990-prices 130x130 FDCC fdcc88, fdcc89, fdcc91, fdcc92 Import tax, consumer products 1990-prices 130x73 FDCE fdce88, fdce89, fdce91, fdce92 Import tax, final demand 1990-prices 130x industries: (for an overview of industry codes see Statistics Denmark, Dansk Brancekode 1993, 2 nd edition 1996) Agriculture Horticulture, orchards etc Agricultural services, landscape gardeners etc Forestry Fishing Extraction of crude petroleum, natural gas etc Extr. of gravel, clay, stone and salt etc Production etc. of meat and meat products Production etc. of fish and fish products Production etc. of fruit and vegetables Manufacture of vegetable and animal oils and fats Manufacture of dairy products Manufacture of starch, chocolate and sugar products Manufacture of bread, cakes and biscuits Bakers shops Manufacture of sugar Manufacture of beverages Manufacture of tobacco products Manufacture of textiles and textile products Mfr. of wearing apparel; dressing etc. of fur Mfr. of leather and leather products Mfr. of wood and wood products Mfr. of pulp, paper and paper products Publishing of newspapers Publishing activities, excl. newspapers Printing activities etc Mfr. of refined petroleum products etc Manufacture of industrial gasses and inorganic basic chemicals Manufacture of dyes, pigments and organic basic chemicals Manufacture of fertilisers etc Mfr. of plastics and synthetic rubber Mfr. of pesticides and other agro-chemical products Mfr. of paints, printing ink and mastics Mfr. of pharmaceuticals etc Mfr. of detergents and other chemical products Mfr. of rubber products, plastic packing goods etc Mfr. of builders ware of plastic Mfr. of other plastic products Mfr. of glass and ceramic goods etc Mfr. of cement, bricks, tiles, flags etc Mfr. of concrete, cement, asphalt and rockwool products Mfr. of basic ferrous metals First processing of iron and steel Mfr. of basic non-ferrous metals Casting of metal products Mfr. construction materials of metal etc Mfr. of hand tools, metal packaging etc Mfr. of marine engines, compressors etc Mfr. of other general purpose machinery Mfr. of agricultural and forestry machinery Mfr. of machinery for industries etc Mfr. of domestic appliances n.e.c Mfr. of office machinery and computers 9

16 Mfr. of other electrical machinery and apparatus Mfr. of radio and communication equipment etc Mfr. of medical and optical instruments etc Mfr. of motor vehicles etc Building and repairing of ships and boats Mfr. of transport equipment excl. ships, motor vehicles etc Mfr. of furniture Mfr. of toys, gold and silver articles etc Recycling of waste and scrap Production and distribution of electricity Production and distribution of gas Steam and hot water supply Collection and distribution of water Construction of new buildings Repair and maintenance of buildings Civil engineering Construction Sale of motor vehicles, motorcycles etc Maintenance and repair of motor vehicles Service stations Wholesale and commissioned trade exclusive of motor vehicles Retail trade of food etc Department stores Retail sale of pharmaceutical goods, cosmetic articles etc Retail sale of clothing, footwear etc Other retail sale, repair work Hotels etc Restaurants etc Transport via railways Other scheduled passenger land transport Taxi operation and coach services Freight transport by road and via pipelines Water transport Air transport Cargo handling, harbours etc.; travel agencies Activities of other transport agencies Post and telecommunications Monetary intermeidation Other financial intermediation Life insurance and pension funding Non-life insurance Activities auxiliary to financial intermediates Real estate agents etc Dwellings Letting of non-residential buildings Renting of machinery and equipment etc Computer activities exc. software consultancy and supply Software consultancy and supply Research and development (market) Research and development (other non-market) Legal activities Accounting, book-keeping and auditing activities Consulting engineers, architects etc Advertising Industrial cleaning Other business activities General (overall) public service activities Regulation of public service activities exc. for business Regulation of and contribution to more efficient operation of business Provision of services to the community Primary education Secondary education Higher education Adult and other education (market) Adult and other education (other non-market) Hospital activities Medical, dental, veterinary activities etc Social institutions etc. for children Social institutions etc. for adults Sewage removal and disposal Refuse collection and sanitation Refuse dumps and refuse disposal plants Activities of membership organisations n.e.c Recreational, cultural, sporting activities (market) Recreational, cultural, sporting activities (other non-market) Other service activities n.e.c Private households with employed persons 73 consumer products: Bread and cereals Meat Fish Eggs Milk, cream, yoghurt etc Cheese Butter, oils and fats Fruit and vegetables except potatoes Potatoes etc Sugar Ice cream, chocolate and confectionery Food products n.e.c Coffee, tea and cocoa Mineral waters, soft drinks and juices Wine and spirits Beer Tobacco Garments and clothing materials etc Laundering, dry cleaning etc Footwear Actual rentals for housing Imputed rentals for housing Regular maintenance and repair of the dwelling Refuse collection, other services n.e.c Water supply and sewerage services Electricity Gas Liquid fuels Hot water, steam etc Furniture, furnishings and carpets etc Household textiles Major household appliances Repair of major household appliances 10 11

17 Glass, tableware and household utensils Tools and equipment for house and garden Non-durable household goods Domestic services and home care services Medicine and pharmaceutical products Therapeutic appliances and equipment Out-patient services Hospital services Purchase of vehicles Maintenance and repair of vehicles Fuels and lubricants Other services in respect of personal transport equipment Transport services Communications Radio and television sets etc Photographic equipment etc Data processing equipment Recording media for pictures and sound Repair of a/v and data processing equipment Other major durables for recreation and culture Other recreational items and equipment Recreational and cultural services Books, newspapers and periodicals Stationary and drawing materials etc Package holidays Education Catering Accomodation services Hairdressing salons etc Appliances, articles and products for personal care Jewellery, clocks and watches Other personal effects Retirement homes, day care centres etc Kindergartens, creches etc Insurance Financial services n.e.c Other services n.e.c Consumption of non-residents on the economic territory Consumption of residents in the rest of the world Membership organisations etc. 5 categories of final demand: 1 Private consumption, total 2 Public consumption, 981 General 3 Public consumption, 982 Defence 4 Public consumption, 983 Education, research 5 Public consumption, 984 Health 6 Public consumption, 985 Social 7 Public consumption, 986 Housing 8 Public consumption, 987 Recreation, culture 9 Public consumption, 988 Business 10 Public consumption, Medicine and pharmaceutical products 11 Public consumption, Therapeutic appliances and equipment 12 Public consumption, Out-patient services Investment, machines and inventory , Transport , Building: Housing , Other building , Civil engineering works , Livestock , Valuables net , Purchase and own-account software , Entertainment, literary or artistic originals , Mineral exploration 23 Inventories 24 Export 25 FISIM 5 categories of non-distributed foreign transactions: 1 Transactions related to oil activity in the North Sea 2 Tourist revenues and -expenses, provisioning by foreign ships 3 Expenses of Danish ships in foreign ports 4 General/special trade 5 Unspecified public imports 5 categories of primary inputs (Y): 1 Commodity taxes net (excl. of VAT) 2 VAT on uses (net system) 3 Other indirect taxes net 4 Compensation of employees 5 Gross operating surplus How to read the data: As mentioned in the introduction, the matrices can be found on busi1 (\\busi1\database\dkio_newag) in SAS-IML format. The following SAS-IML programme illustrates how data can be extracted from the database. %macro get(year); /* creates a macro labelled "get" for the variable "year" */ libname io '\\busi1\database\dkio_newag'; /* creates a reference (a libname) to the physical library where the data are stored */ proc iml; /* starts the SAS-IML module */ reset storage=io.dzb; 12 13

18 /* opens the storage dzb.sc2 (the file with the matrices of intermediate flows in current prices) */ load dzb&year; /* reads the matrices for the years indicated in the macro - see below */ show storage; /* shows the content of the storage io.dzb */ quit; The diagram below illustrates how the input-output matrices for a single year are organised in the data bank. For each year matrices are available in both current and fixed prices (1980 is base year). The data are placed at \\busi1\database\dkio in SAS-IML format. The matrices in current prices are located in the folder iol, while the matrices in fixed prices are located in the folder iof (one file for each year). The letters l and f are also included in the names of the matrices, i.e. matrix number 1 is labelled io1l in current prices and io1f in fixed prices. A SAS-IML programme illustrating how to read the data is included in the end of this document. Organisation of the input-output matrices in the data bank /* terminates the IML procedure */ %mend get; /* terminates the macro "get" */ Intermediate Consumption Private consump. (subgroups) Final Demands (main groups) %get(88); %get(92); /* indicates which years the macro includes */ Uses of domestic output Classified by producing Industry Dim.: Users of imports classified In groups corresponding to The output structure of Domestic Users of imports of special Services etc Primary inputs Column totals (absolute)

19 16. Source of further information See DRUID contact 17. List of attachments List of variables in Patents database: - Firm name - Patent number - IPC Classification - Application number and year - Postal code Variables in database

20 Drejer, I. (1998), Technological Interdependence in the Danish Economy - A Comparison of Methods for Identifying Knowledge Flows, paper presented at the Twelfth International Conference on Input-Output Techniques, New York, May Source of further information (Only available in Danish) Danmarks Statistik, Statistiske Efterretninger, Uddannelse og kultur 1995:7, 19. juli Danmarks Statistik, Statistiske Efterretninger, Uddannelse og kultur 1995:12, 1. september List of attachments Classification of educations (in English and Danish) Classification of industries (in English and Danish) SAS-IML programme for reading the data Classification of educations (Below the education groups are listed. The translation may not be very informative - some notes to clarify: basic education, apprentice and basic exam are equal in focus (skilled labour) and it is only due to technical reasons, that they are not added to one category. Advanced studies (medium) equals BA level, while advanced studies (long) equals MA level) Unknown 0005 Nursery class 1005 Primary school 1st year 1010 Primary school 2nd year 1015 Primary school 3rd year 1020 Primary school 4th year 1025 Primary school 5th year 1030 Primary school 6th year 1035 Primary school 7th year 1040 Primary school 8th year 1045 Primary school 9th year 1050 Primary school 10th/11th year 1055 Continuation school 8th.-10. Year 2010 Grammar school 2nd year ( Gymnasium ) 2015 Grammar school 3rd year ( Gymnasium ) 2025 Higher preparatory exam 2nd year (equals 3rd year of Grammar school) 2029 Admission courses, engineering school nd year, Grammar school (supplementary courses) rd year, Grammar school (supplementary courses) 4105 Basic education, trade and office 4110 Basic education, metal industry 4115 Basic education, chemo-technical 4120 Basic education, construction 4125 Basic education, graphical industry 4130 Basic education, services 4135 Basic education, foodstuffs and housekeeping 4140 Basic education, farming and fishing 4142 Basic education, transportation and communication 4205 apprentice, trade and office 4210 apprentice, metal industry 4220 apprentice, construction 4225 apprentice, graphical industry 4230 apprentice, services 4235 apprentice, foodstuffs and housekeeping 4240 apprentice, farming and fishing 4245 apprentice, health/medical 4305 Basic exam, trade and office 4310 Basic exam, metal industry 4315 Basic exam, chemo-technical 4320 Basic exam, construction 4325 Basic exam, graphical industry 4330 Basic exam, services 4335 Basic exam, foodstuffs and housekeeping 4340 Basic exam, farming and fishing 4350 Basic exam, transportation and communications 4355 Basic exam, health/medical 5005 advanced studies (short), pedagogical 5010 advanced studies (short), humanistics and theology 3 4

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