IDEAS home Printed from https://ideas.repec.org/p/urb/wpaper/10_01.html
   My bibliography  Save this paper

The dynamic effects of technological and non technological shocks in the energy sector: a case study for Italy

Author

Listed:
  • Giuseppe Travaglini

    (Dipartimento di Economia e Metodi Quantitativi, Università di Urbino (Italy))

Abstract

In this paper we address the question whether fiscal incentives and regulation are the most appropriate tools to increase productivity in energy sector. Doubts exist about whether these are the most effective tools for improving productivity since changes in productivity are usually related to changes in technological progress. We use a vector autoregressive model to study this problem. Our purpose is to identify the shocks which induce movements in productivity, and to measure the productivity response to each shock separately. We use economic theory about long run impacts of different shocks to identify the empirical model. The key indentifying restriction is that the level of productivity is determined in the long run by shocks to technology. We find that productivity responds positively to technological shocks, leading to a transition from one equilibrium to another. Yet, non technological shocks play a minor and transitory role in explaining productivity growth. All these evidences cast doubt on the effectiveness of the current European community policy for development and innovation in energy sector based mainly on fiscal incentives and regulations.

Suggested Citation

  • Giuseppe Travaglini, 2010. "The dynamic effects of technological and non technological shocks in the energy sector: a case study for Italy," Working Papers 1001, University of Urbino Carlo Bo, Department of Economics, Society & Politics - Scientific Committee - L. Stefanini & G. Travaglini, revised 2010.
  • Handle: RePEc:urb:wpaper:10_01
    as

    Download full text from publisher

    File URL: http://www.econ.uniurb.it/RePEc/urb/wpaper/WP_10_01.pdf
    File Function: First version, 2010
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. Jordi Gali, 1999. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?," American Economic Review, American Economic Association, vol. 89(1), pages 249-271, March.
    3. Enrico Saltari & Giuseppe Travaglini, 2009. "The Productivity Slowdown Puzzle. Technological and Non-technological Shocks in the Labor Market," International Economic Journal, Taylor & Francis Journals, vol. 23(4), pages 483-509.
    4. Lawrence J. Christiano & Martin Eichenbaum & Robert Vigfusson, 2003. "What Happens After a Technology Shock?," NBER Working Papers 9819, National Bureau of Economic Research, Inc.
    5. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    6. Pizer, William A. & Popp, David, 2008. "Endogenizing technological change: Matching empirical evidence to modeling needs," Energy Economics, Elsevier, vol. 30(6), pages 2754-2770, November.
    7. Bob van der Zwaan & Ad Seebregts, 2004. "Endogenous learning in climate-energy-economic models – an inventory of key uncertainties," International Journal of Energy Technology and Policy, Inderscience Enterprises Ltd, vol. 2(1/2), pages 130-141.
    8. Carraro, Carlo & Gerlagh, Reyer & Zwaan, Bob van der, 2003. "Endogenous technical change in environmental macroeconomics," Resource and Energy Economics, Elsevier, vol. 25(1), pages 1-10, February.
    9. Chirinko, Robert S., 1995. "Nonconvexities, labor hoarding, technology shocks, and procyclical productivity a structural econometric analysis," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 61-98.
    10. Fisher-Vanden, Karen & Sue Wing, Ian, 2008. "Accounting for quality: Issues with modeling the impact of R&D on economic growth and carbon emissions in developing economies," Energy Economics, Elsevier, vol. 30(6), pages 2771-2784, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Enrico Saltari & Giuseppe Travaglini, 2008. "Il rallentamento della produttività del lavoro e la crescita dell'occupazione. Il ruolo del progresso tecnologico e della flessibilità del lavoro," Rivista italiana degli economisti, Società editrice il Mulino, issue 1, pages 3-38.
    2. Chari, V.V. & Kehoe, Patrick J. & McGrattan, Ellen R., 2008. "Are structural VARs with long-run restrictions useful in developing business cycle theory?," Journal of Monetary Economics, Elsevier, vol. 55(8), pages 1337-1352, November.
    3. Jordi Gali, 2005. "Trends in hours, balanced growth, and the role of technology in the business cycle," Review, Federal Reserve Bank of St. Louis, vol. 87(Jul), pages 459-486.
    4. Miyamoto, Wataru & Nguyen, Thuy Lan, 2017. "Understanding the cross-country effects of U.S. technology shocks," Journal of International Economics, Elsevier, vol. 106(C), pages 143-164.
    5. Enrico Saltari & Giuseppe Travaglini, 2007. "Sources of Productivity Slowdown in European Countries During 1990s," Discussion Papers 07/24, Department of Economics, University of York.
    6. Guido Lorenzoni, 2009. "A Theory of Demand Shocks," American Economic Review, American Economic Association, vol. 99(5), pages 2050-2084, December.
    7. Danthine, Jean-Pierre & Kurmann, André, 2010. "The business cycle implications of reciprocity in labor relations," Journal of Monetary Economics, Elsevier, vol. 57(7), pages 837-850, October.
    8. Gubler, Matthias & Hertweck, Matthias S., 2013. "Commodity price shocks and the business cycle: Structural evidence for the U.S," Journal of International Money and Finance, Elsevier, vol. 37(C), pages 324-352.
    9. Jordi Gali & Pau Rabanal, 2004. "Technology Shocks and Aggregate Fluctuations: How Well Does the RBS Model Fit Postwar U.S. Data?," NBER Working Papers 10636, National Bureau of Economic Research, Inc.
    10. Beaudry, Paul & Collard, Fabrice & Portier, Franck, 2011. "Gold rush fever in business cycles," Journal of Monetary Economics, Elsevier, vol. 58(2), pages 84-97, March.
    11. Liu, Zheng & Phaneuf, Louis, 2007. "Technology shocks and labor market dynamics: Some evidence and theory," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2534-2553, November.
    12. Shingo Watanabe, 2012. "The Role Of Technology And Nontechnology Shocks In Business Cycles," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(4), pages 1287-1321, November.
    13. Avouyi-Dovi, S. & Matheron, J., 2005. "Technology Shocks and Monetary Policy in an Estimated Sticky Price Model of the US Economy," Working papers 123, Banque de France.
    14. Yongsung Chang & Taeyoung Doh & Frank Schorfheide, 2007. "Non-stationary Hours in a DSGE Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(6), pages 1357-1373, September.
    15. Ippei Fujiwara & Yasuo Hirose & Mototsugu Shintani, 2011. "Can News Be a Major Source of Aggregate Fluctuations? A Bayesian DSGE Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(1), pages 1-29, February.
    16. Zheng Liu & Daniel F. Waggoner & Tao Zha, 2009. "Sources of the Great Moderation: shocks, frictions, or monetary policy?," FRB Atlanta Working Paper 2009-03, Federal Reserve Bank of Atlanta.
    17. 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.
    18. Régis Barnichon, 2007. "Productivity, Aggregate Demand and Unemployment Fluctuations," CEP Discussion Papers dp0819, Centre for Economic Performance, LSE.
    19. Andrei Polbin & Sergey Drobyshevsky, 2014. "Developing a Dynamic Stochastic Model of General Equilibrium for the Russian Economy," Research Paper Series, Gaidar Institute for Economic Policy, issue 166P, pages 156-156.
    20. Tripier, Fabien, 2006. "Sticky prices, fair wages, and the co-movements of unemployment and labor productivity growth," Journal of Economic Dynamics and Control, Elsevier, vol. 30(12), pages 2749-2774, December.

    More about this item

    Keywords

    Energy Sector; SVAR; Productivity; Shocks.;
    All these keywords.

    JEL classification:

    • 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
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:urb:wpaper:10_01. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Carmela Nicoletti (email available below). General contact details of provider: https://edirc.repec.org/data/feurbit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.