IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v39y2011i1p358-376.html
   My bibliography  Save this article

Re-examining uranium supply and demand: New insights

Author

Listed:
  • Kahouli, Sondès

Abstract

In this paper, we derive a simultaneous system of equations which aims at analysing the uranium supply and demand. In addition to reviewing and updating previous studies dealing with the uranium market analysis, in particular Amavilah (1995), the contribution of the paper lies in putting attention to some questions which are still either controversial or unanswered. They are especially related to the controversial hypothesis of the interdependence between uranium market and other commodities markets, both, with respect to the demand side, i.e. oil and coal markets, and the supply side, i.e. gold market. The paper also casts lights on electricity and uranium price effects on uranium demand as well as on the simultaneous interdependencies that may exist between nuclear consumption and nuclear installed capacity. The model is estimated for three different time periods which takes into account the major events that have influenced the nuclear-uranium development, that is, that have constrained the growth rate of nuclear generating capacity, i.e. oil crisis and nuclear accidents. This permits to show if uranium market reaction is independent or it is correlated with specific events associated with each time periods. The model was estimated by using the 3SLS method that correct for the presence of contemporaneously error terms correlation and for the existence of simultaneity bias in the model. Main results give evidence of significant correlation between uranium price and competing fossil fuel prices. They also point-out that uranium price is significantly correlated with the supply forces where supply is significantly dependent on gold prices. Moreover, results show that the electricity prices have a significant effect on the uranium demand only in the post-1990 period, probably following the worldwide electricity prices increasing trend. Further, our estimations show that uranium demand is significantly correlated with uranium price only in the period of nuclear major expansion. As for the nuclear electric consumption and the nuclear installed capacity, results show that they are simultaneously correlated and that the uranium demand depends on both of them, but only for the pre-1990 period. Interestingly, our results give evidence of low elasticities and inelastic reaction of independent model variables to exogenous variables fluctuations, except for the uranium price equation. Based on these results, some policy implications related to, first, the competitiveness of the uranium market and, second, to the supply-demand policy and the associated pricing mechanisms on the uranium market are discussed.

Suggested Citation

  • Kahouli, Sondès, 2011. "Re-examining uranium supply and demand: New insights," Energy Policy, Elsevier, vol. 39(1), pages 358-376, January.
  • Handle: RePEc:eee:enepol:v:39:y:2011:i:1:p:358-376
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301-4215(10)00757-3
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Price, Terence, 1984. "Uranium supplies and nuclear energy policy," Energy Policy, Elsevier, vol. 12(3), pages 266-270, September.
    2. Santos Silva, J. M. C. & Cardoso, F. N., 2001. "The Chow-Lin method using dynamic models," Economic Modelling, Elsevier, vol. 18(2), pages 269-280, April.
    3. Breusch, T S, 1978. "Testing for Autocorrelation in Dynamic Linear Models," Australian Economic Papers, Wiley Blackwell, vol. 17(31), pages 334-355, December.
    4. Trieu, Luan Ho & Savage, Eric & Dwyer, Gavan, 1994. "A model of the world uranium market," Energy Policy, Elsevier, vol. 22(4), pages 317-329, April.
    5. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    6. Di Fonzo, Tommaso, 1990. "The Estimation of M Disaggregate Time Series When Contemporaneous and Temporal Aggregates Are Known," The Review of Economics and Statistics, MIT Press, vol. 72(1), pages 178-182, February.
    7. Andrew C. Harvey, 1990. "The Econometric Analysis of Time Series, 2nd Edition," MIT Press Books, The MIT Press, edition 2, volume 1, number 026208189x, December.
    8. Litterman, Robert B, 1983. "A Random Walk, Markov Model for the Distribution of Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 169-173, April.
    9. Harold Hotelling, 1931. "The Economics of Exhaustible Resources," Journal of Political Economy, University of Chicago Press, vol. 39, pages 137-137.
    10. Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-375, November.
    11. Greenwood, Joen, 1981. "Uranium supply and demand : The Fifth Annual Symposium of the Uranium Institute, London, 2-4 September 1980," Energy Policy, Elsevier, vol. 9(2), pages 170-171, June.
    12. Rossi, Nicola, 1982. "A Note on the Estimation of Disaggregate Time Series When the Aggregate Is Known," The Review of Economics and Statistics, MIT Press, vol. 64(4), pages 695-696, November.
    13. V. Guerrero & J. Martínez, 1995. "A recursive ARIMA-based procedure for disaggregating a time series variable using concurrent data," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 4(2), pages 359-376, December.
    14. Fernandez, Roque B, 1981. "A Methodological Note on the Estimation of Time Series," The Review of Economics and Statistics, MIT Press, vol. 63(3), pages 471-476, August.
    15. Bob Van der Zwaan, 2008. "Prospects for nuclear energy in Europe," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 30(1/2/3/4), pages 102-121.
    16. Amavilah, Voxi Heinrich S., 1995. "The capitalist world aggregate supply and demand model for natural uranium," Energy Economics, Elsevier, vol. 17(3), pages 211-220, July.
    17. Daniel O. Stram & William W. S. Wei, 1986. "A Methodological Note On The Disaggregation Of Time Series Totals," Journal of Time Series Analysis, Wiley Blackwell, vol. 7(4), pages 293-302, July.
    18. Stephany, Manfred & Bauder, Peter & Lurf, Gunther, 1981. "Uranium stockpiles : Their influence on the market for natural uranium," Resources Policy, Elsevier, vol. 7(4), pages 226-234, December.
    19. Esposto, Stefano, 2008. "The possible role of nuclear energy in Italy," Energy Policy, Elsevier, vol. 36(5), pages 1584-1588, May.
    20. J. C. G. Boot & W. Feibes & J. H. C. Lisman, 1967. "Further Methods of Derivation of Quarterly Figures from Annual Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 16(1), pages 65-75, March.
    21. Jeffrey A. Krautkraemer, 1998. "Nonrenewable Resource Scarcity," Journal of Economic Literature, American Economic Association, vol. 36(4), pages 2065-2107, December.
    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. Xia, Tongshui & Ji, Qiang & Geng, Jiang-Bo, 2020. "Nonlinear dependence and information spillover between electricity and fuel source markets: New evidence from a multi-scale analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    2. Zirui Wang & Wanli Xing, 2022. "Study on the Characteristics and Evolution Trends of Global Uranium Resource Trade from the Perspective of a Complex Network," Sustainability, MDPI, vol. 14(22), pages 1-23, November.
    3. Considine, Timothy J., 2019. "The market impacts of US uranium import quotas," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    4. Jordan, Brett W. & Eggert, Roderick G. & Dixon, Brent W. & Carlsen, Brett W., 2015. "Thorium: Crustal abundance, joint production, and economic availability," Resources Policy, Elsevier, vol. 44(C), pages 81-93.
    5. Rob Aalbers & Victoria Shestalova & Viktoria Kocsis, 2012. "Innovation policy for directing technical change in the power sector," CPB Discussion Paper 223, CPB Netherlands Bureau for Economic Policy Analysis.
    6. Sun, Mei & Zhang, Pei-Pei & Shan, Tian-Hua & Fang, Cui-Cui & Wang, Xiao-Fang & Tian, Li-Xin, 2012. "Research on the evolution model of an energy supply–demand network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(19), pages 4506-4516.
    7. Aalbers, Rob & Shestalova, Victoria & Kocsis, Viktória, 2013. "Innovation policy for directing technical change in the power sector," Energy Policy, Elsevier, vol. 63(C), pages 1240-1250.
    8. Roman Mendelevitch & Thanh Thien Dang, 2016. "Nuclear Power and the Uranium Market: Are Reserves and Resources Sufficient?," DIW Roundup: Politik im Fokus 98, DIW Berlin, German Institute for Economic Research.
    9. Arnaut, Javier L., 2022. "The importance of uranium prices and structural shocks: Some implications for Greenland," Energy Policy, Elsevier, vol. 161(C).
    10. Manuel Landajo & María José Presno & Paula Fernández González, 2021. "Stationarity in the Prices of Energy Commodities. A Nonparametric Approach," Energies, MDPI, vol. 14(11), pages 1-16, June.

    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. Mateusz Pipień & Sylwia Roszkowska, 2015. "Szacunki kwartalnego PKB w polskich województwach," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 5, pages 145-169.
    2. Kahouli, Sondès, 2011. "Effects of technological learning and uranium price on nuclear cost: Preliminary insights from a multiple factors learning curve and uranium market modeling," Energy Economics, Elsevier, vol. 33(5), pages 840-852, September.
    3. Massimo Gerli & Giovanni Marini, 2006. "Spatial and Temporal Time Series Conversion: A Consistent Estimator of the Error Variance-Covariance Matrix," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2005(3), pages 373-405.
    4. Bernardí Cabred & Jose Pavía, 1999. "EstimatingJ (>1) quarterly time series in fulfilling annual and quarterly constraints," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 5(3), pages 339-349, August.
    5. Gallego López, Nuria & Llano Verduras, Carlos & Perez García, Julian, 2010. "Estimación de los flujos de transporte de mercancías interregionales trimestrales mediante técnicas de interpolación temporal/Estimating Quarterly Interregional Commodity Transport Flows by Means of T," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 28, pages 699(38á.)-6, Diciembre.
    6. José Casals & Miguel Jerez & Sonia Sotoca, 2009. "Modelling and forecasting time series sampled at different frequencies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(4), pages 316-342.
    7. Vladim r Hajko, 2015. "Energy-Gross Domestic Product Nexus: Disaggregated Analysis for the Czech Republic in the Post-Transformation Era," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 869-888.
    8. Enrique M. Quilis, 2018. "Temporal disaggregation of economic time series: The view from the trenches," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 72(4), pages 447-470, November.
    9. José Manuel Pavía, 2000. "Desagregación conjunta de series anuales: perturbaciones AR(1) multivariante," Investigaciones Economicas, Fundación SEPI, vol. 24(3), pages 727-737, September.
    10. Cuevas Ángel & Quilis Enrique M. & Espasa Antoni, 2015. "Quarterly Regional GDP Flash Estimates by Means of Benchmarking and Chain Linking," Journal of Official Statistics, Sciendo, vol. 31(4), pages 627-647, December.
    11. Tommaso Proietti, 2011. "Multivariate temporal disaggregation with cross-sectional constraints," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(7), pages 1455-1466, June.
    12. Wolfgang Polasek & Richard Sellner, 2008. "Spatial Chow-Lin Methods: Bayesian And Ml Forecast Comparisons," Working Paper series 38_08, Rimini Centre for Economic Analysis.
    13. Huang, Yu-Lieh, 2012. "Measuring business cycles: A temporal disaggregation model with regime switching," Economic Modelling, Elsevier, vol. 29(2), pages 283-290.
    14. Valter Giacinto & Libero Monteforte & Andrea Filippone & Francesco Montaruli & Tiziano Ropele, 2021. "ITER: A Quarterly Indicator of Regional Economic Activity in Italy," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 7(1), pages 129-147, March.
    15. Marcus Scheiblecker & Sandra Steindl & Michael Wüger, 2007. "Quarterly National Accounts Inventory of Austria. Description of Applied Methods and Data Sources," WIFO Studies, WIFO, number 37249, Juni.
    16. Angelini, Elena & Henry, Jerome & Marcellino, Massimiliano, 2006. "Interpolation and backdating with a large information set," Journal of Economic Dynamics and Control, Elsevier, vol. 30(12), pages 2693-2724, December.
    17. Luke Mosley & Idris Eckley & Alex Gibberd, 2021. "Sparse Temporal Disaggregation," Papers 2108.05783, arXiv.org, revised Oct 2022.
    18. Bernardí Cabrer-Borrás & Jose Manuel Pavía-Miralles, 2007. "On estimating contemporaneous quarterly regional GDP," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(3), pages 155-170.
    19. Chiara Perricone, 2018. "Wavelet analysis for temporal disaggregation," CEIS Research Paper 444, Tor Vergata University, CEIS, revised 29 Oct 2018.
    20. Pieroni, Luca & d'Agostino, Giorgio & Lorusso, Marco, 2008. "Can we declare military Keynesianism dead?," Journal of Policy Modeling, Elsevier, vol. 30(5), pages 675-691.

    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:eee:enepol:v:39:y:2011:i:1:p:358-376. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    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.