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Explaining Dutch emissions of CO2; a decomposition analysis

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  • Alex Hoen
  • Machiel Mulder

Abstract

Decomposition of CO2 data of the Netherlands shows that much progress has been made with reduction of CO2 emissions by changing to less CO2 intensive technologies. Decomposition of CO2 data of the Netherlands shows that much progress has been made with reduction of CO2 emissions by changing to less CO2 intensive technologies. Moreover, demand shifted to products that are produced with less CO2 emission. Further, shifts in the inputs needed in the production process also managed to decrease the CO2 emissions. These effects, however, were more than compensated by increased CO2 emission due to economic growth. Especially growth in exports led to substantial more CO2 emissions. Consequently, emissions of CO2 remain a persistent environmental problem in spite of large improvements in the field of energy efficiency and carbon content of energy use. Policy measures affecting marginal costs of 'dirty' products, like an international system of emissions trading, could affect the demand for these products, and hence decrease emissions efficiently. A different policy may affect the Dutch competitive position, since the emission of CO2 is closely related to exports. In any way, action needs to be taken since the analysis suggests that otherwise the aims of the Kyoto-protocol may not be reached.

Suggested Citation

  • Alex Hoen & Machiel Mulder, 2003. "Explaining Dutch emissions of CO2; a decomposition analysis," CPB Discussion Paper 24, CPB Netherlands Bureau for Economic Policy Analysis.
    • Handle: RePEc:cpb:discus:24
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    References listed on IDEAS

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    Cited by:

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    2. Yun-Hsun Huang & Jung-Hua Wu & Hao-Syuan Huang, 2021. "Analyzing the Driving Forces behind CO 2 Emissions in Energy-Resource-Poor and Fossil-Fuel-Centered Economies: Case Studies from Taiwan, Japan, and South Korea," Energies, MDPI, vol. 14(17), pages 1-14, August.
    3. Tarancon, Miguel Angel & Del Río, Pablo, 2012. "Assessing energy-related CO2 emissions with sensitivity analysis and input-output techniques," Energy, Elsevier, vol. 37(1), pages 161-170.
    4. Tarancon, Miguel Angel & del Rio, Pablo, 2007. "CO2 emissions and intersectoral linkages. The case of Spain," Energy Policy, Elsevier, vol. 35(2), pages 1100-1116, February.
    5. Boonekamp, Piet G.M., 2006. "Evaluation of methods used to determine realized energy savings," Energy Policy, Elsevier, vol. 34(18), pages 3977-3992, December.
    6. Tarancón Morán, Miguel Ángel & del Ri­o, Pablo & Albiñana, Fernando Callejas, 2008. "Tracking the genealogy of CO2 emissions in the electricity sector: An intersectoral approach applied to the Spanish case," Energy Policy, Elsevier, vol. 36(6), pages 1915-1926, June.
    7. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.

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    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q49 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Other
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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