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The exposure of technology and knowledge intense sectors to the business cycle

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  • Werner Hölzl
  • Serguei Kaniovski
  • Andreas Reinstaller

Abstract

This paper studies the business cycle sensitivity of industries using different industry groupings. The results show that technologically intense industries are heavily affected by business cycles. While the overall importance of business cycles for long-run growth seems to be rather limited, we observe for industries with high technology intensity that business cycles may have persistent long-run effects on sectoral performance.

Suggested Citation

  • Werner Hölzl & Serguei Kaniovski & Andreas Reinstaller, 2015. "The exposure of technology and knowledge intense sectors to the business cycle," Bulletin of Applied Economics, Risk Market Journals, vol. 2(1), pages 1-19.
    • Handle: RePEc:rmk:rmkbae:v:2:y:2015:i:1:p:1-19
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    References listed on IDEAS

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    1. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    2. António Afonso & Davide Furceri, 2009. "Sectoral Business Cycle Synchronization in the European Union," Economics Bulletin, AccessEcon, vol. 29(4), pages 2996-3014.
    3. Pasinetti,Luigi, 1993. "Structural Economic Dynamics," Cambridge Books, Cambridge University Press, number 9780521432825.
    4. Holzl, Werner & Reinstaller, Andreas, 2007. "The impact of productivity and demand shocks on structural dynamics: Evidence from Austrian manufacturing," Structural Change and Economic Dynamics, Elsevier, vol. 18(2), pages 145-166, June.
    5. Susanto Basu, 1996. "Procyclical Productivity: Increasing Returns or Cyclical Utilization?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(3), pages 719-751.
    6. Aghion, Philippe & Angeletos, George-Marios & Banerjee, Abhijit & Manova, Kalina, 2010. "Volatility and growth: Credit constraints and the composition of investment," Journal of Monetary Economics, Elsevier, vol. 57(3), pages 246-265, April.
    7. Francis, Neville & Ramey, Valerie A., 2005. "Is the technology-driven real business cycle hypothesis dead? Shocks and aggregate fluctuations revisited," Journal of Monetary Economics, Elsevier, vol. 52(8), pages 1379-1399, November.
    8. Pavitt, Keith, 1984. "Sectoral patterns of technical change: Towards a taxonomy and a theory," Research Policy, Elsevier, vol. 13(6), pages 343-373, December.
    9. Michael Peneder, 2007. "A sectoral taxonomy of educational intensity," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 34(3), pages 189-212, July.
    10. Annika Alexius & Mikael Carlsson, 2005. "Measures of Technology and the Business Cycle," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 299-307, May.
    11. Werner Hölzl & Andreas Reinstaller, 2005. "Sectoral and Aggregate Technology Shocks:Is There a Relationship?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 32(1), pages 45-72, March.
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    Cited by:

    1. Franz R. Hahn & Werner Hölzl, 2012. "Effects of the New Capital Requirements of Basel III on the Financing of Small and Medium-sized Enterprises in Austria," Austrian Economic Quarterly, WIFO, vol. 17(3), pages 168-186, August.
    2. Charis Vlados & Dimos Chatzinikolaou & Fotios Katimertzopoulos & Theodore Koutroukis, 2019. "Regional underdevelopment and less developed business ecosystems: The case of Eastern Macedonia and Thrace," Bulletin of Applied Economics, Risk Market Journals, vol. 6(2), pages 31-44.
    3. Rašiová, Barbara & Árendáš, Peter, 2023. "Copula approach to market volatility and technology stocks dependence," Finance Research Letters, Elsevier, vol. 52(C).
    4. W. Hölzl & S. Kaniovski & Y. Kaniovski, 2019. "Exploring the dynamics of business survey data using Markov models," Computational Management Science, Springer, vol. 16(4), pages 621-649, October.
    5. Klaus S. Friesenbichler & Christian Glocker & Werner Hölzl & Philipp Wegmüller, 2018. "Ein neues Modell für die kurzfristige Prognose der Herstellung von Waren und der Ausrüstungsinvestitionen," WIFO Monatsberichte (monthly reports), WIFO, vol. 91(9), pages 651-661, September.

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    More about this item

    Keywords

    technology shocks; business cycle; long-run restrictions; sectoral response; structural change;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

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