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Intangible investment in people and productivity

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  • Pekka Ilmakunnas
  • Hannu Piekkola

Abstract

Organizational activity, information and communication technology work, and research and development (R&D) can be classified as work that creates intangible capital. We measure the returns to these three types of labor input by accounting for differences in their productivity compared with other labor inputs using Finnish firm-level data from 1998 to 2008. We apply a novel idea to use hiring as one proxy for productivity and demand shocks. We find that organizational workers increase total factor productivity and improve the profitability of high-productivity firms. R&D workers account for a large share of intangible capital; however, the returns to R&D are low. Investments in organizational competence are more likely to result in more rapid productivity growth. Firms with performance-related pay or domestically owned firms with extensive foreign activities have been among the highest performers with respect to the use of organizational work. Copyright Springer Science+Business Media New York 2014

Suggested Citation

  • Pekka Ilmakunnas & Hannu Piekkola, 2014. "Intangible investment in people and productivity," Journal of Productivity Analysis, Springer, vol. 41(3), pages 443-456, June.
  • Handle: RePEc:kap:jproda:v:41:y:2014:i:3:p:443-456
    DOI: 10.1007/s11123-013-0348-9
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    Cited by:

    1. Roth, Felix & Sen, Ali & Rammer, Christian, 2021. "Intangible Capital and Firm-Level Productivity – Evidence from Germany," Hamburg Discussion Papers in International Economics 9, University of Hamburg, Department of Economics.
    2. He, Qiuqin & Guijarro-Garcia, Maria & Costa-Climent, Juan, 2022. "Impact of knowledge-based capital on firm productivity: The contingent effect of ownership," Journal of Business Research, Elsevier, vol. 140(C), pages 85-94.
    3. Nonnis, Alberto & Bounfour, Ahmed & Kim, Keungoui, 2023. "Knowledge spillovers and intangible complementarities: Empirical case of European countries," Research Policy, Elsevier, vol. 52(1).
    4. Szunomár, Ágnes, 2019. "A digitális nagy ugrás. Lassulás és modernizációs stratégiaváltás Kínában [The great digital leap. Deceleration and a change in modernisation strategy in China]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(12), pages 1312-1346.
    5. Angelos A. Antzoulatos & Dimitris Karanastasis & Thomas Syrmos, 2022. "The Puzzling Convergence of Intangible Investments," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 28(3), pages 171-182, November.
    6. Kristof Van Criekingen & Carter Bloch & Carita Eklund, 2022. "Measuring intangible assets—A review of the state of the art," Journal of Economic Surveys, Wiley Blackwell, vol. 36(5), pages 1539-1558, December.
    7. Ni, Qingshan & Zhang, Hao & Lu, Yanjin, 2023. "Way to measure Intangible capital for innovation-driven economic growth: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 156-172.
    8. Carolina Hintzmann & Josep Lladós-Masllorens & Raul Ramos, 2021. "Intangible Assets and Labor Productivity Growth," Economies, MDPI, vol. 9(2), pages 1-21, May.
    9. MORIKAWA Masayuki, 2014. "Are Large Headquarters Unproductive? Evidence from a panel of Japanese companies," Discussion papers 14036, Research Institute of Economy, Trade and Industry (RIETI).
    10. Tang, Jianmin & Wang, Weimin, 2020. "Technological frontier, technical efficiency and the post-2000 productivity slowdown in Canada," Structural Change and Economic Dynamics, Elsevier, vol. 55(C), pages 12-25.
    11. Roth, Felix, 2019. "Intangible Capital and Labour Productivity Growth: A Review of the Literature," Hamburg Discussion Papers in International Economics 4, University of Hamburg, Department of Economics.

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    More about this item

    Keywords

    Intangible capital; Organizational capital; R&D; Productivity analysis; Linked employer–employee data; O40; O30; J31; M12; J62;
    All these keywords.

    JEL classification:

    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion

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