IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v59y2018icp160-183.html
   My bibliography  Save this article

Price and income elasticity of demand for mineral commodities

Author

Listed:
  • Fernandez, Viviana

Abstract

This article utilizes the Divisia-moment approach to gauge price and income elasticity for seven major metals—steel, aluminum, copper, lead, nickel, tin, and zinc—in eight geographic regions—Africa, Asia, CIS, Europe, the Middle East, North and South America, Oceania—for the period of 1980–2015, and in the world for the period of 1960–2015. Based on various econometric techniques, this article presents new evidence of heterogeneous demand patterns across regions and metals. In particular, South America's per capita consumption of steel, aluminum and copper is the most price-elastic (− 0.18, − 0.27, and − 0.21, respectively). Other price-elastic regions are North America, Africa, Oceania, and Middle East with respect to nickel (− 0.22, − 0.46, − 0.23, and − 0.63, respectively) and CIS and Asia with respect to zinc (− 0.26 and − 0.14, respectively). This article also presents four extensions: measurement of price flexibility; use of instrumental variables to account for endogenous prices; price- and income-elasticity estimation by country; and, a characterization of mineral expenditure across geographic regions.

Suggested Citation

  • Fernandez, Viviana, 2018. "Price and income elasticity of demand for mineral commodities," Resources Policy, Elsevier, vol. 59(C), pages 160-183.
    • Handle: RePEc:eee:jrpoli:v:59:y:2018:i:c:p:160-183
    DOI: 10.1016/j.resourpol.2018.06.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420718300321
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.resourpol.2018.06.013?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Clements,Kenneth W., 2016. "Currencies, Commodities and Consumption," Cambridge Books, Cambridge University Press, number 9781316601112, January.
    2. Stuermer, Martin, 2018. "150 Years Of Boom And Bust: What Drives Mineral Commodity Prices?," Macroeconomic Dynamics, Cambridge University Press, vol. 22(3), pages 702-717, April.
    3. Sargan, John Denis & Bhargava, Alok, 1983. "Testing Residuals from Least Squares Regression for Being Generated by the Gaussian Random Walk," Econometrica, Econometric Society, vol. 51(1), pages 153-174, January.
    4. Stuermer, Martin, 2017. "Industrialization and the demand for mineral commodities," Journal of International Money and Finance, Elsevier, vol. 76(C), pages 16-27.
    5. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    6. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    7. Edward F. Blackburne III & Mark W. Frank, 2007. "Estimation of nonstationary heterogeneous panels," Stata Journal, StataCorp LP, vol. 7(2), pages 197-208, June.
    8. Evans, Mark & Lewis, Andrew C., 2005. "Dynamic metals demand model," Resources Policy, Elsevier, vol. 30(1), pages 55-69, March.
    9. Karanasos, Menelaos & Menla Ali, Faek & Margaronis, Zannis & Nath, Rajat, 2018. "Modelling time varying volatility spillovers and conditional correlations across commodity metal futures," International Review of Financial Analysis, Elsevier, vol. 57(C), pages 246-256.
    10. Evans, M. & Lewis, Andrew C., 2002. "Is there a common metals demand curve?," Resources Policy, Elsevier, vol. 28(3-4), pages 95-104.
    11. K.W. Clements & Y. Qiang, 1998. "A New Input-output Table for Western Australia - Part 1," Economics Discussion / Working Papers 98-15, The University of Western Australia, Department of Economics.
    12. Crompton, Paul, 2015. "Explaining variation in steel consumption in the OECD," Resources Policy, Elsevier, vol. 45(C), pages 239-246.
    13. Pantula, Sastry G & Gonzalez-Farias, Graciela & Fuller, Wayne A, 1994. "A Comparison of Unit-Root Test Criteria," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(4), pages 449-459, October.
    14. Pesaran, M. Hashem, 2015. "Time Series and Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780198759980.
    15. Finke, Renate, 1985. "Divisia moments of U.S. consumption, 1929-1982," Economics Letters, Elsevier, vol. 17(3), pages 223-226.
    16. Clements, Kenneth W., 1982. "Divisia moments of Australian consumption," Economics Letters, Elsevier, vol. 9(1), pages 43-48.
    17. Pei, Fanyu & Tilton, John E., 1999. "Consumer preferences, technological change, and the short-run income elasticity of metal demand," Resources Policy, Elsevier, vol. 25(2), pages 87-109, June.
    18. Tcha, M. & Takashina, G., 2002. "Is world metal consumption in disarray?," Resources Policy, Elsevier, vol. 28(1-2), pages 61-74.
    19. Chen, Mei-Hsiu, 2010. "Understanding world metals prices--Returns, volatility and diversification," Resources Policy, Elsevier, vol. 35(3), pages 127-140, September.
    20. K.W. Clements & Y. Qiang, 1998. "A New Input-output Table for Western Australia - Part 2," Economics Discussion / Working Papers 98-16, The University of Western Australia, Department of Economics.
    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. Ozdemir, Ali Can & Buluş, Kurtuluş & Zor, Kasım, 2022. "Medium- to long-term nickel price forecasting using LSTM and GRU networks," Resources Policy, Elsevier, vol. 78(C).
    2. Mehmanpazir, Farhad & Khalili-Damghani, Kaveh & Hafezalkotob, Ashkan, 2019. "Modeling steel supply and demand functions using logarithmic multiple regression analysis (case study: Steel industry in Iran)," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    3. Islam, Md. Monirul & Sohag, Kazi & Alam, Md. Mahmudul, 2022. "Mineral import demand and clean energy transitions in the top mineral-importing countries," Resources Policy, Elsevier, vol. 78(C).
    4. Islam, Md. Monirul & Sohag, Kazi & Hammoudeh, Shawkat & Mariev, Oleg & Samargandi, Nahla, 2022. "Minerals import demands and clean energy transitions: A disaggregated analysis," Energy Economics, Elsevier, vol. 113(C).
    5. He, Rui-fang & Zhong, Mei-rui & Huang, Jian-bai, 2021. "The dynamic effects of renewable-energy and fossil-fuel technological progress on metal consumption in the electric power industry," Resources Policy, Elsevier, vol. 71(C).
    6. Karan Bhuwalka & Eunseo Choi & Elizabeth A. Moore & Richard Roth & Randolph E. Kirchain & Elsa A. Olivetti, 2023. "A hierarchical Bayesian regression model that reduces uncertainty in material demand predictions," Journal of Industrial Ecology, Yale University, vol. 27(1), pages 43-55, February.
    7. Carol Dahl & Ben Gilbert & Ian Lange, 2020. "Mineral scarcity on Earth: are Asteroids the answer," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 33(1), pages 29-41, July.
    8. Jeddi, Samir & Lencz, Dominic & Wildgrube, Theresa, 2021. "Complementing carbon prices with Carbon Contracts for Difference in the presence of risk - When is it beneficial and when not?," EWI Working Papers 2021-9, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI), revised 16 Aug 2022.
    9. Md. Monirul Islam & Kazi Sohag & Faheem ur Rehman, 2022. "Do Geopolitical Tensions and Economic Policy Uncertainties Reorient Mineral Imports in the USA? A Fat-Tailed Data Analysis Using Novel Quantile Approaches," Mathematics, MDPI, vol. 11(1), pages 1-25, December.
    10. He, Ruifang & Zhong, Meirui & Huang, Jianbai, 2021. "Technological progress and metal resource consumption in the electricity industry—A cross-country panel threshold data analysis," Energy, Elsevier, vol. 231(C).
    11. Quang Dung Truong, Hai Quang Nguyen and Dang Khoa Tran, 2020. "Elasticity of Market Demand between Modes of Transport in Vietnam by Price and Income," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 45(1), pages 83-96, March.

    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. Fernandez, Viviana, 2018. "Mineral commodity consumption and intensity of use re-assessed," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 1-18.
    2. Fernandez, Viviana & Pastén-Henríquez, Boris & Tapia-Griñen, Pablo & Wagner, Rodrigo, 2023. "Commodity prices under the threat of operational disruptions: Labor strikes at copper mines," Journal of Commodity Markets, Elsevier, vol. 32(C).
    3. Karan Bhuwalka & Eunseo Choi & Elizabeth A. Moore & Richard Roth & Randolph E. Kirchain & Elsa A. Olivetti, 2023. "A hierarchical Bayesian regression model that reduces uncertainty in material demand predictions," Journal of Industrial Ecology, Yale University, vol. 27(1), pages 43-55, February.
    4. Jacks, David S. & Stuermer, Martin, 2020. "What drives commodity price booms and busts?," Energy Economics, Elsevier, vol. 85(C).
    5. John Baffes & Alain Kabundi & Peter Nagle, 2022. "The role of income and substitution in commodity demand [Modelling OECD industrial energy demand: asymmetric price responses and energy-saving technical change]," Oxford Economic Papers, Oxford University Press, vol. 74(2), pages 498-522.
    6. Stuermer, Martin, 2017. "Industrialization and the demand for mineral commodities," Journal of International Money and Finance, Elsevier, vol. 76(C), pages 16-27.
    7. Martin Stuermer, 2022. "Non-renewable resource extraction over the long term: empirical evidence from global copper production," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 35(3), pages 617-625, December.
    8. Chen, Jinyu & Luo, Qian & Tu, Yan & Ren, Xiaohang & Naderi, Niki, 2023. "Renewable energy transition and metal consumption: Dynamic evolution analysis based on transnational data," Resources Policy, Elsevier, vol. 85(PB).
    9. He, Ruifang & Zhong, Meirui & Huang, Jianbai, 2021. "Technological progress and metal resource consumption in the electricity industry—A cross-country panel threshold data analysis," Energy, Elsevier, vol. 231(C).
    10. Addison, Tony & Ghoshray, Atanu, 2023. "Discerning trends in international metal prices in the presence of nonstationary volatility," Resource and Energy Economics, Elsevier, vol. 71(C).
    11. Fernandez, Viviana, 2019. "A readily computable commodity price index: 1900–2016," Finance Research Letters, Elsevier, vol. 31(C).
    12. Mei-Hsiu Chen & Ken W. Clements & Grace Gao, 2017. "Three Facts About World Metal Prices," Economics Discussion / Working Papers 17-05, The University of Western Australia, Department of Economics.
    13. Samih Antoine Azar, 2004. "Excess volatility in the US stock market: evidence to the contrary," Applied Financial Economics, Taylor & Francis Journals, vol. 14(18), pages 1307-1311.
    14. Gerlach, Stefan & Stuart, Rebecca, 2024. "Commodity prices and international Inflation, 1851–1913," Journal of International Money and Finance, Elsevier, vol. 144(C).
    15. Abbas Alavirad & Sanhita Athawale, 2005. "The impact of the budget deficit on inflation in the Islamic Republic of Iran," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 29(1), pages 37-49, March.
    16. Derek Bond & Michael J. Harrison & Edward J. O'Brien, 2005. "Testing for Long Memory and Nonlinear Time Series: A Demand for Money Study," Trinity Economics Papers tep20021, Trinity College Dublin, Department of Economics.
    17. Friedrich-Wilhelm Wellmer & Roland W. Scholz, 2018. "What Is the Optimal and Sustainable Lifetime of a Mine?," Sustainability, MDPI, vol. 10(2), pages 1-22, February.
    18. Moustfa Ismael Khaleel & Ahmed Younis Jabbar & Maha Kalai & Rima Aloulou & Kamel Helali, 2024. "An Applied Study of the Symmetric and Asymmetric Impact of Oil Prices and International Financial Markets on Economic Growth in Iraq," International Journal of Energy Economics and Policy, Econjournals, vol. 14(4), pages 66-80, July.
    19. Bingham, Matthew F. & Prestemon, Jeffrey P. & MacNair, Douglas J. & Abt, Robert C. & Bingham, Matthew F., 2003. "Market structure in U. S. southern pine roundwood," Journal of Forest Economics, Elsevier, vol. 9(2), pages 97-117.
    20. David S. Jacks & Martin Stuermer, 2021. "Dry bulk shipping and the evolution of maritime transport costs, 1850–2020," Australian Economic History Review, Economic History Society of Australia and New Zealand, vol. 61(2), pages 204-227, July.

    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:jrpoli:v:59:y:2018:i:c:p:160-183. 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/inca/30467 .

    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.
    pFad - Phonifier reborn

    Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

    Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.


    Alternative Proxies:

    Alternative Proxy

    pFad Proxy

    pFad v3 Proxy

    pFad v4 Proxy