IDEAS home Printed from https://ideas.repec.org/p/sek/iacpro/2804578.html
   My bibliography  Save this paper

Innovation Investments and Energy Efficiency in Iranian Industries

Author

Listed:
  • Mahmood Mahmoodzadeh

    (Department of Economics, Firoozkooh Branch, Islamic Azad University)

  • Somaye Sadeghi

    (Department of Economics, Firoozkooh Branch, Islamic Azad University)

  • Soraya Sadeghi

    (MA in Economics)

  • Saleh Ghavidel

    (Department of Economics, Firoozkooh Branch, Islamic Azad University,Firoozkooh)

Abstract

This paper investigates the effects of innovation investments in Iranian industries including R&D expenditures (disaggregated as domestic and foreign) and ICT investments on energy intensity in three clusters of Iranian industries including small, medium and large size industries. We used the GMM panel method to estimate during 2000-2009 periods. The results show that in all clusters, domestic R&D expenditures have not significant effect on energy intensity, while foreign R&D expenditures induces to decrease considerably energy intensity. Also, ICT investments cause to increase energy intensity. Moreover, as expected, the spillovers from these innovations, especially R&D spillover cause to decrease energy intensity. Overall, in Iranian firms, innovation investments, in particular foreign R&D expenditures play a substantial role to improve energy efficiency.

Suggested Citation

  • Mahmood Mahmoodzadeh & Somaye Sadeghi & Soraya Sadeghi & Saleh Ghavidel, 2015. "Innovation Investments and Energy Efficiency in Iranian Industries," Proceedings of International Academic Conferences 2804578, International Institute of Social and Economic Sciences.
  • Handle: RePEc:sek:iacpro:2804578
    as

    Download full text from publisher

    File URL: https://iises.net/proceedings/19th-international-academic-conference-florence/table-of-content/detail?cid=28&iid=083&rid=4578
    File Function: First version, 2015
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Charles Edquist & Leif Hommen & Maureen McKelvey, 2001. "Innovation and Employment," Books, Edward Elgar Publishing, number 2138.
    2. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
    3. Cho, Youngsang & Lee, Jongsu & Kim, Tai-Yoo, 2007. "The impact of ICT investment and energy price on industrial electricity demand: Dynamic growth model approach," Energy Policy, Elsevier, vol. 35(9), pages 4730-4738, September.
    4. Popp, David C., 2001. "The effect of new technology on energy consumption," Resource and Energy Economics, Elsevier, vol. 23(3), pages 215-239, July.
    5. Hall, Bronwyn H. & Mairesse, Jacques & Mohnen, Pierre, 2010. "Measuring the Returns to R&D," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 1033-1082, Elsevier.
    6. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    7. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    8. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    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. João Gabriel Pio & Eduardo Gonçalves & Claúdio R. F. Vasconcelos, 2021. "Technology Spillovers Through Exports: Empirical Evidence for the Chinese Case," Journal of Industry, Competition and Trade, Springer, vol. 21(3), pages 423-443, September.
    2. Barge-Gil, Andrés & López, Alberto, 2013. "R&D and productivity: In search of complementarity between research and development activities," MPRA Paper 43808, University Library of Munich, Germany.
    3. Ejike Udeogu & Shampa Roy-Mukherjee & Uzochukwu Amakom, 2021. "Does Increasing Product Complexity and Diversity Cause Economic Growth in the Long-Run? A GMM Panel VAR Evidence," SAGE Open, , vol. 11(3), pages 21582440211, August.
    4. Kathryn Rudie Harrigan & Maria Chiara Guardo & Bo Cowgill, 2017. "Multiplicative-innovation synergies: tests in technological acquisitions," The Journal of Technology Transfer, Springer, vol. 42(5), pages 1212-1233, October.
    5. Meschi, Elena & Taymaz, Erol & Vivarelli, Marco, 2011. "Trade, technology and skills: Evidence from Turkish microdata," Labour Economics, Elsevier, vol. 18(S1), pages 60-70.
    6. Abonazel, Mohamed R., 2016. "Bias Correction Methods for Dynamic Panel Data Models with Fixed Effects," MPRA Paper 70628, University Library of Munich, Germany.
    7. Francesco Bogliacino & Marco Vivarelli, 2012. "The Job Creation Effect Of R&D Expenditures," Australian Economic Papers, Wiley Blackwell, vol. 51(2), pages 96-113, June.
    8. Caggese, Andrea, 2007. "Testing financing constraints on firm investment using variable capital," Journal of Financial Economics, Elsevier, vol. 86(3), pages 683-723, December.
    9. Quader, Syed Manzur, 2017. "Differential effect of liquidity constraints on firm growth," Review of Financial Economics, Elsevier, vol. 32(C), pages 20-29.
    10. repec:lic:licosd:15905 is not listed on IDEAS
    11. Priebe, Jan & Rudolf, Robert, 2015. "Does the Chinese Diaspora Speed Up Growth in Host Countries?," World Development, Elsevier, vol. 76(C), pages 249-262.
    12. Davide Consoli & Francesco Vona & Francesco Rentocchini, 2016. "That was then, this is now: skills and routinization in the 2000s," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 25(5), pages 847-866.
    13. Rajesh Sharma, 2018. "Health and economic growth: Evidence from dynamic panel data of 143 years," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-20, October.
    14. Yoshitsugu Kitazawa, 2003. "Dynamic Panel Data Model and Moment Generating Function," Discussion Papers 13, Kyushu Sangyo University, Faculty of Economics.
    15. Maurice J.G. Bun & Sarafidis, V., 2013. "Dynamic Panel Data Models," UvA-Econometrics Working Papers 13-01, Universiteit van Amsterdam, Dept. of Econometrics.
    16. repec:zbw:bofrdp:2000_009 is not listed on IDEAS
    17. Bloom, David E. & Canning, David & Kotschy, Rainer & Prettner, Klaus & Schünemann, Johannes, 2024. "Health and economic growth: Reconciling the micro and macro evidence," World Development, Elsevier, vol. 178(C).
    18. Jacques Mairesse & Bronwyn H. Hall & Benoît Mulkay, 1999. "Firm-Level Investment in France and the United States: An Exploration of What We Have Learned in Twenty Years," Annals of Economics and Statistics, GENES, issue 55-56, pages 27-67.
    19. Leitão, Nuno Carlos, 2012. "Globalization and United States’ Intra-Industry Trade," MPRA Paper 39756, University Library of Munich, Germany.
    20. Robertson, Donald & Sarafidis, Vasilis, 2015. "IV estimation of panels with factor residuals," Journal of Econometrics, Elsevier, vol. 185(2), pages 526-541.
    21. Antonio Francesco Gravina, 2020. "Nonlinearities and the Determinants of Inequality: New Panel Evidence," Working Papers 2020.22, Fondazione Eni Enrico Mattei.
    22. Vincent Van Roy & Daniel Vertesy & Marco Vivarelli, 2015. "The Employment Impact of Innovation: Evidence from European Patenting Companies," DISCE - Quaderni del Dipartimento di Politica Economica ispe0075, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).

    More about this item

    Keywords

    Energy Intensity; ICT Investments; Domestic R&D; Foreign R&D; Spillovers;
    All these keywords.

    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:sek:iacpro:2804578. 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: Klara Cermakova (email available below). General contact details of provider: https://iises.net/ .

    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.