IDEAS home Printed from https://ideas.repec.org/p/wpa/wuwpem/0301002.html

Innovation And Technological Evolution In A Western European Country – The Case Of Portugal

Author

Listed:
  • Jose Ramos Pires Manso

    (University of Beira Interior)

Abstract

The paper speaks of the technological evolution using a translog cost function for a western European country – Portugal. It begins by presenting the methodological framework, the estimation process based on the iterative Zellner method to estimate systems of seemingly unrelated regression equations (SURE), the empirical application to Portugal, and the interpretation of the results, namely in terms of the technological evolution.

Suggested Citation

  • Jose Ramos Pires Manso, 2003. "Innovation And Technological Evolution In A Western European Country – The Case Of Portugal," Econometrics 0301002, University Library of Munich, Germany.
    • Handle: RePEc:wpa:wuwpem:0301002
    Note: Type of Document - Tex/WordPerfect/Handwritten; prepared on IBM PC - PC-TEX/UNIX Sparc TeX; to print on HP/PostScript/Franciscan monk; pages: 12 ; figures: included/request from author/draw your own
    as

    Download full text from publisher

    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/em/papers/0301/0301002.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Patrick J. Kehoe & Andrew Atkeson, 1999. "Models of Energy Use: Putty-Putty versus Putty-Clay," American Economic Review, American Economic Association, vol. 89(4), pages 1028-1043, September.
    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. Rajeev Dhawan & Karsten Jeske & Pedro Silos, 2010. "Productivity, Energy Prices and the Great Moderation: A New Link," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 13(3), pages 715-724, July.
    2. Takeshi Niizeki, 2012. "Energy-Saving Technological Change in Japan," Global COE Hi-Stat Discussion Paper Series gd11-218, Institute of Economic Research, Hitotsubashi University.
    3. Federico Revelli, 2012. "Business taxation and economic performance in hierarchical government structures," Working Papers 2012/12, Institut d'Economia de Barcelona (IEB).
    4. Paul Castillo & Carlos Montoro & Vicente Tuesta, 2005. "Inflation Premium and Oil Price Volatility," Working Papers Central Bank of Chile 350, Central Bank of Chile.
    5. Jianglong Li & Zhi Li, 2018. "Understanding the role of economic transition in enlarging energy price elasticity," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 26(2), pages 253-281, April.
    6. Li, Jianglong & Xie, Chunping & Long, Houyin, 2019. "The roles of inter-fuel substitution and inter-market contagion in driving energy prices: Evidences from China’s coal market," Energy Economics, Elsevier, vol. 84(C).
    7. Díaz Antonia & Puch Luis A., 2019. "Investment, technological progress and energy efficiency," The B.E. Journal of Macroeconomics, De Gruyter, vol. 19(2), pages 1-28, June.
    8. Tang, Le & Jefferson, Gary, 2024. "A DSGE model of energy efficiency with vintage capital in Chinese industry," Economic Modelling, Elsevier, vol. 132(C).
    9. Glomm, Gerhard & Kawaguchi, Daiji & Sepulveda, Facundo, 2008. "Green taxes and double dividends in a dynamic economy," Journal of Policy Modeling, Elsevier, vol. 30(1), pages 19-32.
    10. J. Barrera-Santana & Gustavo A. Marrero & Luis A. Puch & Antonia Díaz, 2021. "CO2 emissions and energy technologies in Western Europe," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 12(2), pages 105-150, June.
    11. Waisman, Henri & Rozenberg, Julie & Hourcade, Jean Charles, 2013. "Monetary compensations in climate policy through the lens of a general equilibrium assessment: The case of oil-exporting countries," Energy Policy, Elsevier, vol. 63(C), pages 951-961.
    12. Nie, Pu-yan & Yang, Yong-cong, 2016. "Effects of energy price fluctuations on industries with energy inputs: An application to China," Applied Energy, Elsevier, vol. 165(C), pages 329-334.
    13. Naohisa Hirakata & Nao Sudo, 2009. "Accounting for Oil Price Variation and Weakening Impact of the Oil Crisis," IMES Discussion Paper Series 09-E-01, Institute for Monetary and Economic Studies, Bank of Japan.
    14. Macías, Arturo & Matilla-García, Mariano, 2015. "Net energy analysis in a Ramsey–Hotelling growth model," Energy Policy, Elsevier, vol. 86(C), pages 562-573.
    15. Carlos de Miguel & Baltasar Manzano, 2006. "Optimal Oil Taxation in a Small Open Economy," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 9(3), pages 438-454, July.
    16. Sahari, Anna, 2019. "Electricity prices and consumers’ long-term technology choices: Evidence from heating investments," European Economic Review, Elsevier, vol. 114(C), pages 19-53.
    17. Munechika Katayama, 2013. "Declining Effects of Oil Price Shocks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(6), pages 977-1016, September.
    18. Baldwin, Elizabeth & Cai, Yongyang & Kuralbayeva, Karlygash, 2020. "To build or not to build? Capital stocks and climate policy∗," Journal of Environmental Economics and Management, Elsevier, vol. 100(C).
    19. Jacek Kulawik & Michał Soliwoda & Agnieszka Kurdyś-Kujawska & Justyna Herda-Kopańska & Cezary Klimkowski, 2023. "Cost of Energy Consumption and Return of Excise Tax on Motor Fuels vs. the Durability of Operations and Financial Sustainability in Polish Agriculture," Energies, MDPI, vol. 17(1), pages 1-22, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C0 - Mathematical and Quantitative Methods - - General
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

    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:wpa:wuwpem:0301002. 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: EconWPA The email address of this maintainer does not seem to be valid anymore. Please ask EconWPA to update the entry or send us the correct address (email available below). General contact details of provider: https://econwpa.ub.uni-muenchen.de .

    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.