IDEAS home Printed from https://ideas.repec.org/a/kap/enreec/v15y2000i4p323-341.html
   My bibliography  Save this article

An Environmental Macro-Economic Model for the Construction Sector

Author

Listed:
  • Mette Wier

Abstract

This article describes theeconomic-ecological model BASIS, which handles theconstruction sector, its consumption of materials,and the resultant environmental effects. The modelis a satellite model of the macro-economic modelADAM. The building materials examined are plastic,metal and concrete, each of which result in variousemissions that impact upon the environment andhealth. Materials consumption and energy consumptionare central environmental parameters, and can beconsidered both as indicators of environmentalpressure per se, and as explanatory variables forvarious types of emissions and waste generation. Thearticle documents BASIS and illustrates itscharacteristics through a number of scenarios. Thescenarios examine the effects of changes in variousmacro-economic variables and of environmentalpolicy-based levies. Copyright Kluwer Academic Publishers 2000

Suggested Citation

  • Mette Wier, 2000. "An Environmental Macro-Economic Model for the Construction Sector," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 15(4), pages 323-341, April.
    • Handle: RePEc:kap:enreec:v:15:y:2000:i:4:p:323-341
    DOI: 10.1023/A:1008395407927
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1023/A:1008395407927
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1023/A:1008395407927?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. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    2. Banerjee, Anindya, et al, 1986. "Exploring Equilibrium Relationships in Econometrics through Static Models: Some Monte Carlo Evidence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 253-277, August.
    3. Andrew C. Harvey, 1990. "The Econometric Analysis of Time Series, 2nd Edition," MIT Press Books, The MIT Press, edition 2, volume 1, number 026208189x, April.
    4. Diewert, W E, 1971. "An Application of the Shephard Duality Theorem: A Generalized Leontief Production Function," Journal of Political Economy, University of Chicago Press, vol. 79(3), pages 481-507, May-June.
    5. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    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. Mette Wier & Berit Hasler & Johnny Andersen & Jørgen Jensen, 2001. "Environmental and Economic Effects of a Fall in Cereal Prices in the EU Internal Market: the Case of Denmark," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 20(1), pages 73-90, September.
    2. Wier, Mette & Andersen, Johnny M. & Jensen, Jorgen D. & Jensen, Thomas C., 2002. "The EU's Agenda 2000 reform for the agricultural sector: environmental and economic effects in Denmark," Ecological Economics, Elsevier, vol. 41(2), pages 345-359, May.

    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. Adrian C. Darnell, 1994. "A Dictionary Of Econometrics," Books, Edward Elgar Publishing, number 118.
    2. Neil R. Ericsson, 2021. "Dynamic Econometrics in Action: A Biography of David F. Hendry," International Finance Discussion Papers 1311, Board of Governors of the Federal Reserve System (U.S.).
    3. 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.
    4. Caner Demir, 2019. "Macroeconomic Determinants of Stock Market Fluctuations: The Case of BIST-100," Economies, MDPI, vol. 7(1), pages 1-14, February.
    5. Murthy, N. R. Vasudeva & Phillips, Joseph M., 1996. "The relationship between budget deficits and capital inflows: Further econometric evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 36(4), pages 485-494.
    6. Campos, Julia & Ericsson, Neil R. & Hendry, David F., 1996. "Cointegration tests in the presence of structural breaks," Journal of Econometrics, Elsevier, vol. 70(1), pages 187-220, January.
    7. Antràs Pol, 2004. "Is the U.S. Aggregate Production Function Cobb-Douglas? New Estimates of the Elasticity of Substitution," The B.E. Journal of Macroeconomics, De Gruyter, vol. 4(1), pages 1-36, April.
    8. Norah Al-Ballaa, 2005. "Test for cointegration based on two-stage least squares," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(7), pages 707-713.
    9. Utku Utkulu & Durmus Özdemir, 2005. "Does Trade Liberalization Cause a Long Run Economic Growth in Turkey," Economic Change and Restructuring, Springer, vol. 37(3), pages 245-266, September.
    10. Marit Gjelsvik & Ragnar Nymoen & Victoria Sparrman, 2020. "Cointegration and Structure in Norwegian Wage–Price Dynamics," Econometrics, MDPI, vol. 8(3), pages 1-15, July.
    11. Myers, Robert J., 1994. "Time Series Econometrics and Commodity Price Analysis: A Review," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 62(02), pages 1-15, August.
    12. Akhand Hossain, 2012. "Modelling of narrow money demand in Australia: an ARDL cointegration approach, 1970–2009," Empirical Economics, Springer, vol. 42(3), pages 767-790, June.
    13. Arshanapalli, Bala & Doukas, John, 1994. "Common stochastic trends in a system of Eurocurrency rates," Journal of Banking & Finance, Elsevier, vol. 18(6), pages 1047-1061, December.
    14. Elliott, Graham & Jansson, Michael & Pesavento, Elena, 2004. "Optimal Power for Testing Potential Cointegrating Vectors with Known," University of California at San Diego, Economics Working Paper Series qt2bv7n071, Department of Economics, UC San Diego.
    15. Hasanov, Fakhri J. & Shannak, Sa'd, 2020. "Electricity incentives for agriculture in Saudi Arabia. Is that relevant to remove them?," Energy Policy, Elsevier, vol. 144(C).
    16. Philip Bodman, 1997. "The Australian Trade Balance and Current Account: a Time Series Perspective," International Economic Journal, Taylor & Francis Journals, vol. 11(2), pages 39-57.
    17. Wier, Mette & Hansen, Lars Gårn & Smed, Sinne, 2001. "Explaining Demand for Organic Foods," MPRA Paper 48363, University Library of Munich, Germany.
    18. Monticelli, Carlo & Strauss-Kahn, Marc-Olivier, 1993. "European Integration and the Demand for Broad Money," The Manchester School of Economic & Social Studies, University of Manchester, vol. 61(4), pages 345-366, December.
    19. Tleubayev, Alisher & Jamali Jaghdani, Tinoush & Götz, Linde & Svanidze, Miranda, 2021. "The relationship between trade policies and macroeconomic adjustments in the Russian cheese market integration," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 22(3), pages 44-68.
    20. Jens Weidmann, 1997. "New Hope for the Fisher Effect? A Re-Examination Using Threshold Cointegration," Macroeconomics 9705005, University Library of Munich, Germany.

    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:kap:enreec:v:15:y:2000:i:4:p:323-341. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.