IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-00287886.html
   My bibliography  Save this paper

Futures of automobile industry and challenges on sustainable development and mobility

Author

Listed:
  • António Brandão Moniz

    (IET - Research Centre on Enterprise and Work Innovation - WORKS project)

  • Margarida Paulos

    (IET - Research Centre on Enterprise and Work Innovation - Faculty of Sciences - FCT NOVA - Faculdade de Ciências e Tecnologia = School of Science & Technology - NOVA - Universidade Nova de Lisboa = NOVA University Lisbon)

Abstract

Portugal had only very few foresight exercises on the automobile sector, and the most recent one was a survey held in a project on work organisation systems in the automobile industry, its recent historical paths and the special strategies of location of companies (the WorTiS project). This involved several teams with different disciplinary backgrounds and from two Portuguese universities. The provisional main results of the first round of a Delphi survey held in Portugal on the automotive sector were already published, but a further analysis was not yet done. This foresight survey was done under the WorTiS project, developed in 2004 by IET – Research Centre on Enterprise and Work Innovation (at FCT-UNL), and financed by the Portuguese Ministry of Science and Technology. Some of this experience on foresight analysis is also been transferred to other projects, namely the WORKS project on work organisation restructuring in the knowledge society that received the support from EC and still is running. The majority of experts considered having an average of less knowledge in almost all the scenario topics presented. This means that information on the automotive industry is not spread enough among academics or experts in related fields (regional scientists, innovation economists, engineers, sociologists). Some have a good knowledge but in very specialised fields. Others have expertise on foresight, or macroeconomics, or management sciences, but feel insecure on issues related with futures of automobile sector. Nevertheless, we considered specially the topics where the experts considered themselves to have some knowledge. There were no "irrelevant" topics considered as such by the expert panel. There are also no topics that are not considered a need for co-operation. The lack of technological infrastructures was not considered as a hindered factor for the accomplishment of any scenario. The experts' panel considered no other international competence besides US, Japan or Germany in these topics. Special focus will be made in this paper on the topic 2. Public policy and automobile industries, and more specifically on the technological and/or research policies issues, where one can specify the automobile's role in transport policies with further implications like environment, safety, energy, mobility.

Suggested Citation

  • António Brandão Moniz & Margarida Paulos, 2008. "Futures of automobile industry and challenges on sustainable development and mobility," Post-Print hal-00287886, HAL.
  • Handle: RePEc:hal:journl:hal-00287886
    Note: View the original document on HAL open archive server: https://hal.science/hal-00287886
    as

    Download full text from publisher

    File URL: https://hal.science/hal-00287886/document
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Machado, Tiago & Moniz, António, 2005. "Models and Practices in the Motor Vehicle Industry – contrasting cases from the Portuguese experience," MPRA Paper 6171, University Library of Munich, Germany, revised Dec 2005.
    2. Collopy, Fred & Armstrong, J. Scott, 1992. "Expert opinions about extrapolation and the mystery of the overlooked discontinuities," International Journal of Forecasting, Elsevier, vol. 8(4), pages 575-582, December.
    3. Huss, William R., 1988. "A move toward scenario analysis," International Journal of Forecasting, Elsevier, vol. 4(3), pages 377-388.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nuno Boavida & Manuel Baumann & António B. Moniz & Jens Schippl & Max Reichenbach & Marcel Weil, 2013. "Technology transition towards electric mobility - technology assessment as a tool for policy design," IET Working Papers Series 04/2013, Universidade Nova de Lisboa, IET/CICS.NOVA-Interdisciplinary Centre on Social Sciences, Faculty of Science and Technology.
    2. Manuel Baumann & Nuno Boavida & Maria João Maia & Patrick Lichtner & António Brandão Moniz, 2012. "Renewable Energy Systems: the theme for the PACITA summer school on TA, Liège, Belgium, 25 28 June 2012," Enterprise and Work Innovation Studies, Universidade Nova de Lisboa, IET/CICS.NOVA-Interdisciplinary Centre on Social Sciences, Faculty of Science and Technology, vol. 8(8), pages 95-101, November.

    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. António Brandão Moniz, 2008. "Assessing scenarios on the future of work," Enterprise and Work Innovation Studies, Universidade Nova de Lisboa, IET/CICS.NOVA-Interdisciplinary Centre on Social Sciences, Faculty of Science and Technology, vol. 4(4), pages 91-106, November.
    2. Cicelin Rakotomahazo & Jacqueline Razanoelisoa & Nirinarisoa Lantoasinoro Ranivoarivelo & Gildas Georges Boleslas Todinanahary & Eulalie Ranaivoson & Mara Edouard Remanevy & Lalao Aigrette Ravaoarinor, 2021. "Community Perceptions of a Payment for Ecosystem Services Project in Southwest Madagascar: A Preliminary Study," Land, MDPI, vol. 10(6), pages 1-19, June.
    3. Armstrong, J. Scott, 1996. "Factors affecting new product forecasting accuracy in new firms : William B. Gartner, and Robert J. Thomas, 1993, Journal of Productive Innovation Management, 10, 35-52," International Journal of Forecasting, Elsevier, vol. 12(2), pages 321-322, June.
    4. Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2015. "Golden rule of forecasting: Be conservative," Journal of Business Research, Elsevier, vol. 68(8), pages 1717-1731.
    5. Dennis Buede, 2009. "Errors associated with simple versus realistic models," Computational and Mathematical Organization Theory, Springer, vol. 15(1), pages 11-18, March.
    6. Sapio, Bartolomeo, 1995. "SEARCH (Scenario evaluation and analysis through repeated cross impact handling): a new method for scenario analysis with an application to the Videotel service in Italy," International Journal of Forecasting, Elsevier, vol. 11(1), pages 113-131, March.
    7. Lin, Boqiang & Ouyang, Xiaoling, 2014. "Electricity demand and conservation potential in the Chinese nonmetallic mineral products industry," Energy Policy, Elsevier, vol. 68(C), pages 243-253.
    8. Olaleye, Olaitan & Baker, Erin, 2015. "Large scale scenario analysis of future low carbon energy options," Energy Economics, Elsevier, vol. 49(C), pages 203-216.
    9. Emrouznejad, Ali & Rostami-Tabar, Bahman & Petridis, Konstantinos, 2016. "A novel ranking procedure for forecasting approaches using Data Envelopment Analysis," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 235-243.
    10. Boender, Guus C. E., 1997. "A hybrid simulation/optimisation scenario model for asset/liability management," European Journal of Operational Research, Elsevier, vol. 99(1), pages 126-135, May.
    11. Adya, Monica & Collopy, Fred & Armstrong, J. Scott & Kennedy, Miles, 2001. "Automatic identification of time series features for rule-based forecasting," International Journal of Forecasting, Elsevier, vol. 17(2), pages 143-157.
    12. Contreras Lisperguer, Rubén & Lindberg, Julia & Dantas, Guilherme & Falcão, Djalma & Taranto, Glauco & Ferreira, Daniel, 2019. "Distributed photovoltaic generation in Brazil: Technological innovation, scenario methodology and regulatory frameworks," Documentos de Proyectos 44928, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    13. JS Armstrong, 2004. "Forecasting for Environmental Decision Making," General Economics and Teaching 0412023, University Library of Munich, Germany.
    14. Reimers, Stian & Harvey, Nigel, 2011. "Sensitivity to autocorrelation in judgmental time series forecasting," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1196-1214, October.
    15. Awopone, Albert K. & Zobaa, Ahmed F. & Banuenumah, Walter, 2017. "Techno-economic and environmental analysis of power generation expansion plan of Ghana," Energy Policy, Elsevier, vol. 104(C), pages 13-22.
    16. Tengda Lu & Xieer Dai & Jun Chen & Ming Dai, 2018. "Pricing Industrial Discharge Quota (IDQ): A Model Reflecting Opportunity Cost of Performing Ecological Responsibility," Sustainability, MDPI, vol. 10(6), pages 1-20, June.
    17. Koh, S.C.L. & Smith, L. & Miah, J. & Astudillo, D. & Eufrasio, R.M. & Gladwin, D. & Brown, S. & Stone, D., 2021. "Higher 2nd life Lithium Titanate battery content in hybrid energy storage systems lowers environmental-economic impact and balances eco-efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    18. Remus, William & O'Connor, Marcus & Griggs, Kenneth, 1998. "The impact of information of unknown correctness on the judgmental forecasting process," International Journal of Forecasting, Elsevier, vol. 14(3), pages 313-322, September.
    19. John D. Sterman & Rebecca Henderson & Eric D. Beinhocker & Lee I. Newman, 2007. "Getting Big Too Fast: Strategic Dynamics with Increasing Returns and Bounded Rationality," Management Science, INFORMS, vol. 53(4), pages 683-696, April.
    20. Rogier Busser, 2008. "‘Detroit of the East’? Industrial Upgrading, Japanese Car Producers and the Development of the Automotive Industry in Thailand," Asia Pacific Business Review, Taylor & Francis Journals, vol. 14(1), pages 29-45.

    More about this item

    Keywords

    automotive industry; scenario; economical co-operation; technology; Delphi survey;
    All these keywords.

    JEL classification:

    • L62 - Industrial Organization - - Industry Studies: Manufacturing - - - Automobiles; Other Transportation Equipment; Related Parts and Equipment
    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

    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:hal:journl:hal-00287886. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.