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Nonparametric Modelling of Co2 Emission Quota

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  • Oude Lansink, Alfons G.J.M.

Abstract

Dutch glasshouse firms are facing the introduction of a system of tradable CO2 emission quota. Also, the firms will be faced with a cut of CO2 emissions of approximately 5% by the year 2010. This paper employs a nonparametric method for modeling tradable CO2 emissions of Dutch glasshouse firms. The method is capable of generating shifts in CO2 emissions across the sample of firms. Also, changes in volumes of outputs produced and inputs used are computed. Results show that firms using a conventional heating technology will be net purchasers of CO2 emissions, whereas firms using more advanced heating technologies will sell part of their emission quota.

Suggested Citation

  • Oude Lansink, Alfons G.J.M., 2005. "Nonparametric Modelling of Co2 Emission Quota," 89th Seminar, February 2-5, 2005, Parma, Italy 234613, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaae89:234613
    DOI: 10.22004/ag.econ.234613
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    Cited by:

    1. Benjamin Hampf & Kenneth Løvold Rødseth, 2017. "Optimal profits under environmental regulation: the benefits from emission intensity averaging," Annals of Operations Research, Springer, vol. 255(1), pages 367-390, August.
    2. Verreth, Daphne M.I. & Emvalomatis, Grigorios & Bunte, Frank H.J. & Oude Lansink, Alfons G.J.M., 2011. "Dynamic adjustments in the Dutch greenhouse sector due to environmental regulations," 122nd Seminar, February 17-18, 2011, Ancona, Italy 99364, European Association of Agricultural Economists.
    3. Sidhoum, Amer Ait & Serra, Teresa, 2018. "Measuring Sustainability Efficiency At Farm Level: A Data Envelopment Analysis Approach," 166th Seminar, August 30-31, 2018, Galway, West of Ireland 276184, European Association of Agricultural Economists.
    4. Dupeux, Bérénice & Buysse, Jeroen, 2014. "Parametric versus non-parametric simulation," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182768, European Association of Agricultural Economists.
    5. Montagnoli, Alberto & de Vries, Frans P., 2010. "Carbon trading thickness and market efficiency," Energy Economics, Elsevier, vol. 32(6), pages 1331-1336, November.
    6. Serra, Teresa & Chambers, Robert G. & Oude Lansink, Alfons, 2014. "Measuring technical and environmental efficiency in a state-contingent technology," European Journal of Operational Research, Elsevier, vol. 236(2), pages 706-717.
    7. Theodoros Skevas & Teresa Serra, 2017. "Derivation of netput shadow prices under different levels of pest pressure," Journal of Productivity Analysis, Springer, vol. 48(1), pages 25-34, August.
    8. D. Verreth & G. Emvalomatis & F. Bunte & A. Oude Lansink, 2015. "Dynamic and Static Behaviour with Respect to Energy Use and Investment of Dutch Greenhouse Firms," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 61(4), pages 595-614, August.
    9. Magambo, Isaiah & Dikgang, Johane & Gelo, Dambala & Tregenna, Fiona, 2021. "Environmental and Technical Efficiency in Large Gold Mines in Developing Countries," MPRA Paper 108068, University Library of Munich, Germany.
    10. Kenneth Løvold Rødseth, 2017. "Environmental regulations and allocative efficiency: application to coal-to-gas substitution in the U.S. electricity sector," Journal of Productivity Analysis, Springer, vol. 47(2), pages 129-142, April.
    11. de, Vries Frans & Montagnoli, Alberto, 2009. "Carbon trading thickness and market efficiency: A non-parametric test," Stirling Economics Discussion Papers 2009-22, University of Stirling, Division of Economics.
    12. Shuenn-Ren Cheng, 2012. "A Single-Machine Two-Agent Scheduling Problem By Ga Approach," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 29(02), pages 1-22.

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