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The Sectoral Innovation Database, 1994-2016.Methodological Notes

Author

Listed:
  • Mario Pianta

    (Scuola Normale Superiore, Florence)

  • Andrea Coveri

    (Department of Economics, Society & Politics, Università di Urbino Carlo Bo)

  • Jelena Reljic

    (Sapienza Università di Roma)

Abstract

The Sectoral Innovation Database (SID) has been developed at the University of Urbino over the last 20 years and combines several major sources of industry-level data, shedding light on the dynamics of structural change, the nature and impact of innovation, the internationalisation of production, the evolution of the quantity and quality of employment, income distribution patterns and the role of digitalization. The database covers six major European countries – France, Germany, Italy, the Netherlands, Spain and the United Kingdom (representing 75% of EU28’s GDP) – from 1994 to 2016, considering six time periods corresponding to upswings and downswings of business cycles. The first version of the SID provides data for 21 manufacturing and 17 service sectors for two-digit NACE Rev. 1 classes. As statistical surveys have moved to the twodigit NACE Rev. 2 classification, a second version of the Sectoral Innovation Database was produced, providing data for 18 manufacturing and 23 service sectors for two-digit NACE Rev. 2 classes. Major sources of data include the Community Innovation Surveys provided by Eurostat, the OECD’s STAN database, the WIOD database, the Eurostat’s EU Labour Force Surveys, and the EU KLEMS data on digitalization. The integrated information provided by the Sectoral Innovation Database offers a comprehensive view of industries’ dynamics in Europe and allows for an in-depth investigation of key research questions related to technological change, economic performance, international production, income distribution and employment.

Suggested Citation

  • Mario Pianta & Andrea Coveri & Jelena Reljic, 2021. "The Sectoral Innovation Database, 1994-2016.Methodological Notes," Working Papers 2101, University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini, revised 2021.
  • Handle: RePEc:urb:wpaper:21_01
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    Cited by:

    1. Mario Pianta & Jelena Reljic, 2022. "The good jobs-high innovation virtuous circle," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 39(3), pages 783-811, October.
    2. Coveri, Andrea & Pianta, Mario, 2022. "Drivers of inequality: wages vs. profits in European industries," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 230-242.
    3. Pianta, Mario & Reljic, Jelena, 2021. "Employment quality, economic performance and wages in Europe. Exploring the virtuous circle," MPRA Paper 109797, University Library of Munich, Germany.

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    More about this item

    Keywords

    Innovation; Industries; Databases; Demand; Offshoring; Labour market;
    All these keywords.

    JEL classification:

    • F15 - International Economics - - Trade - - - Economic Integration
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J51 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - Trade Unions: Objectives, Structure, and Effects
    • L16 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Industrial Organization and Macroeconomics; Macroeconomic Industrial Structure
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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