IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/33349.html
   My bibliography  Save this paper

Energy efficiency in transition: do market-oriented economic reforms matter?

Author

Listed:
  • Nepal, Rabindra

Abstract

Global climate change and security of supply concerns pose significant challenges for sustainable development as well as the need to improve energy efficiency in transition and developing economies. Meanwhile, economic theory suggests that market-based economic policies and reforms are crucial for accelerating energy efficiency in developing and transition countries. Hence, this paper analyses the impacts of several market-oriented economic reforms on energy efficiency in the transition countries. The transition countries experienced a rapid marketization process that saw their economies transformed from central planning towards more market based economies since the early 1990s. The econometric results from the bias corrected fixed-effect analysis (LSDVC) suggest that both large and small scale privatisation process has been the sole driver of energy efficiency in transition countries. However, the lack of suitable institutions to support overall-market reforms implies that other market based economic reforms remain ineffective in improving energy efficiency in transition countries.

Suggested Citation

  • Nepal, Rabindra, 2011. "Energy efficiency in transition: do market-oriented economic reforms matter?," MPRA Paper 33349, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:33349
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/33349/1/MPRA_paper_33349.pdf
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    as
    1. Fan, Ying & Liao, Hua & Wei, Yi-Ming, 2007. "Can market oriented economic reforms contribute to energy efficiency improvement? Evidence from China," Energy Policy, Elsevier, vol. 35(4), pages 2287-2295, April.
    2. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    3. Schaffer, Mark E., 1998. "Do Firms in Transition Economies Have Soft Budget Constraints? A Reconsideration of Concepts and Evidence," Journal of Comparative Economics, Elsevier, vol. 26(1), pages 80-103, March.
    4. Bun, Maurice J. G. & Kiviet, Jan F., 2003. "On the diminishing returns of higher-order terms in asymptotic expansions of bias," Economics Letters, Elsevier, vol. 79(2), pages 145-152, May.
    5. 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.
    6. Ronald J. Sutherland, 1991. "Market Barriers to Energy-Efficiency Investments," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 15-34.
    7. Giovanni S. F. Bruno, 2005. "Estimation and inference in dynamic unbalanced panel-data models with a small number of individuals," Stata Journal, StataCorp LP, vol. 5(4), pages 473-500, December.
    8. Sen, A. & Jamasb, T., 2010. "The Economic Effects of Electricity Deregulation: An Empricial Analysis of Indian States," Cambridge Working Papers in Economics 1005, Faculty of Economics, University of Cambridge.
    9. Williamson, Oliver E., 1996. "Transaction cost economics and the Carnegie connection," Journal of Economic Behavior & Organization, Elsevier, vol. 31(2), pages 149-155, November.
    10. Faye Steiner, 2003. "Regulation, industry structure and performance in the electricity supply industry," OECD Economic Studies, OECD Publishing, vol. 2001(1), pages 143-182.
    11. Jamasb, T. & Mota, R. & Newbery, D. & Pollitt, M., 2004. "‘Electricity Sector Reform in Developing Countries: A Survey of Empirical Evidence on Determinants and Performance’," Cambridge Working Papers in Economics 0439, Faculty of Economics, University of Cambridge.
    12. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
    13. Nepal, Rabindra & Jamasb, Tooraj, 2012. "Reforming the power sector in transition: Do institutions matter?," Energy Economics, Elsevier, vol. 34(5), pages 1675-1682.
    14. Sinton, Jonathan E. & Fridley, David G., 2000. "What goes up: recent trends in China's energy consumption," Energy Policy, Elsevier, vol. 28(10), pages 671-687, August.
    15. David Popp, 2002. "Induced Innovation and Energy Prices," American Economic Review, American Economic Association, vol. 92(1), pages 160-180, March.
    16. Cornillie, Jan & Fankhauser, Samuel, 2004. "The energy intensity of transition countries," Energy Economics, Elsevier, vol. 26(3), pages 283-295, May.
    17. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    18. Jaffe, Adam B. & Stavins, Robert N., 1994. "The energy-efficiency gap What does it mean?," Energy Policy, Elsevier, vol. 22(10), pages 804-810, October.
    19. Markandya, Anil & Pedroso-Galinato, Suzette & Streimikiene, Dalia, 2006. "Energy intensity in transition economies: Is there convergence towards the EU average?," Energy Economics, Elsevier, vol. 28(1), pages 121-145, January.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    market reforms; energy efficiency; transition countries; institutions;

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • P28 - Economic Systems - - Socialist Systems and Transition Economies - - - Natural Resources; Environment
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

    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:pra:mprapa:33349. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.